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Cumulative Volume Delta (CVD) Suite [QuantAlgo]🟢 Overview The Cumulative Volume Delta (CVD) Suite is a comprehensive toolkit that tracks the net difference between buying and selling pressure over time, helping traders identify significant accumulation/distribution patterns, spot divergences with price action, and confirm trend strength. By visualizing the running balance of volume flow, this indicator reveals underlying market sentiment that often precedes significant price movements. 🟢 How It Works The indicator begins by determining the optimal timeframe for delta calculation. When auto-select is enabled, it automatically chooses a lower timeframe based on your chart period, e.g., using 1-second bars for minute charts, 5-second bars for 5-minute charts, and progressively larger intervals for higher timeframes. This granular approach captures volume flow dynamics that might be missed at the chart level. Once the timeframe is established, the indicator calculates volume delta for each bar using directional classification: getDelta() => close > open ? volume : close < open ? -volume : 0 When a bar closes higher than it opens (bullish candle), the entire volume is counted as positive delta representing buying pressure. Conversely, when a bar closes lower than its open (bearish candle), volume becomes negative delta representing selling pressure. This classification is applied to every bar in the selected lower timeframe, then aggregated upward to construct the delta for each chart bar: array deltaValues = request.security_lower_tf(syminfo.tickerid, lowerTimeframe, getDelta()) float barDelta = 0.0 if array.size(deltaValues) > 0 for i = 0 to array.size(deltaValues) - 1 barDelta := barDelta + array.get(deltaValues, i) This aggregation process sums all the individual delta values from the lower timeframe bars that comprise each chart bar, capturing the complete volume flow activity within that period. The resulting bar delta then feeds into the various display calculations: rawCVD = ta.cum(barDelta) // Cumulative sum from chart start smoothCVD = ta.sma(rawCVD, smoothingLength) // Smoothed for noise reduction rollingCVD = math.sum(barDelta, rollingLength) // Rolling window calculation Note: This directional bar approach differs from exchange-level orderflow CVD, which uses tick data to separate aggressive buy orders (executed at the ask price) from aggressive sell orders (executed at the bid price). While this method provides a volume flow approximation rather than pure tape-reading precision, it offers a practical and accessible way to analyze buying and selling dynamics across all timeframes and instruments without requiring specialized data feeds on TradingView. 🟢 Key Features The indicator offers five distinct visualization modes, each designed to reveal different aspects of volume flow dynamics and cater to various trading strategies and market conditions. 1. Oscillator (Raw): Displays the true cumulative volume delta from the beginning of chart history, accompanied by an EMA signal line that helps identify trend direction and momentum shifts. When CVD crosses above the signal line, it indicates strengthening buying pressure; crosses below suggest increasing selling pressure. This mode is particularly valuable for spotting long-term accumulation/distribution phases and identifying divergences where CVD makes new highs/lows while price fails to confirm, often signaling potential reversals. 2. Oscillator (Smooth): Applies a simple moving average to the raw CVD to filter out noise while preserving the underlying trend structure, creating smoother signal line crossovers. Use this when trading trending instruments where you need confirmation of genuine volume-backed moves versus temporary volatility spikes. 3. Oscillator (Rolling): Calculates cumulative delta over only the most recent N bars (configurable window length), effectively resetting the baseline and removing the influence of distant historical data. This approach focuses exclusively on current market dynamics, making it highly responsive to recent shifts in volume pressure and particularly useful in markets that have undergone regime changes or structural shifts. This mode can be beneficial for traders when they want to analyze "what's happening now" without legacy bias from months or years of prior data affecting the readings. 4. Histogram: Renders the per-bar volume delta as individual histogram bars rather than cumulative values, showing the immediate buying or selling pressure that occurred during each specific candle. Positive (green) bars indicate that bar closed higher than it opened with buying volume, while negative (red) bars show selling volume dominance. This mode excels at identifying sudden volume surges, exhaustion points where large delta bars fail to move price, and bar-by-bar absorption patterns where one side is aggressively consuming the other's volume. 5. Candles: Transforms CVD data into OHLC candlestick format, where each candle's open represents the CVD at the start of the bar and subsequent intra-bar delta changes create the high, low, and close values. This visualization reveals the internal volume flow dynamics within each time period, showing whether buying or selling pressure dominated throughout the bar's formation and exposing intra-bar reversals or sustained directional pressure. Use candle wicks and bodies to identify volume acceptance/rejection at specific CVD levels, similar to how price candles show acceptance/rejection at price levels. ▶ Built-in Alert System: Comprehensive alerts for all display modes including bullish/bearish momentum shifts (CVD crossing signal line), buying/selling pressure detection (histogram mode), and bullish/bearish CVD candle formations. Fully customizable with exchange and timeframe placeholders. ▶ Visual Customization: Choose from 5 color presets (Classic, Aqua, Cosmic, Ember, Neon) or create your own custom color schemes. Optional price bar coloring feature overlays CVD trend colors directly onto your main chart candles, providing instant visual confirmation of volume flow and making divergences immediately apparent. Optional info label with configurable position and size displays current CVD values, data source timeframe, and mode at a glance.
אינדיקטור Pine Script®
מאת ‎QuantAlgo‎
Intrabar Volume Flow IntelligenceIntrabar Volume Flow Intelligence: A Comprehensive Analysis: The Intrabar Volume Flow Intelligence indicator represents a sophisticated approach to understanding market dynamics through the lens of volume analysis at a granular, intrabar level. This Pine Script version 5 indicator transcends traditional volume analysis by dissecting price action within individual bars to reveal the true nature of buying and selling pressure that often remains hidden when examining only the external characteristics of completed candlesticks. At its core, this indicator operates on the principle that volume is the fuel that drives price movement, and by understanding where volume is being applied within each bar—whether at higher prices indicating buying pressure or at lower prices indicating selling pressure—traders can gain a significant edge in anticipating future price movements before they become obvious to the broader market. The foundational innovation of this indicator lies in its use of lower timeframe data to analyze what happens inside each bar on your chart timeframe. While most traders see only the open, high, low, and close of a five-minute candle, for example, this indicator requests data from a one-minute timeframe by default to see all the individual one-minute candles that comprise that five-minute bar. This intrabar analysis allows the indicator to calculate a weighted intensity score based on where the price closed within each sub-bar's range. If the close is near the high, that volume is attributed more heavily to buying pressure; if near the low, to selling pressure. This methodology is far more nuanced than simple tick volume analysis or even traditional volume delta calculations because it accounts for the actual price behavior and distribution of volume throughout the formation of each bar, providing a three-dimensional view of market participation. The intensity calculation itself demonstrates the coding sophistication embedded in this indicator. For each intrabar segment, the indicator calculates a base intensity using the formula of close minus low divided by the range between high and low. This gives a value between zero and one, where values approaching one indicate closes near the high and values approaching zero indicate closes near the low. However, the indicator doesn't stop there—it applies an open adjustment factor that considers the relationship between the close and open positions within the overall range, adding up to twenty percent additional weighting based on directional movement. This adjustment ensures that strongly directional intrabar movement receives appropriate emphasis in the final volume allocation. The adjusted intensity is then bounded between zero and one to prevent extreme outliers from distorting the analysis, demonstrating careful consideration of edge cases and data integrity. The volume flow calculation multiplies this intensity by the actual volume transacted in each intrabar segment, creating buy volume and sell volume figures that represent not just quantity but quality of market participation. These figures are accumulated across all intrabar segments within the parent bar, and simultaneously, a volume-weighted average price is calculated for the entire bar using the typical price of each segment multiplied by its volume. This intrabar VWAP becomes a critical reference point for understanding whether the overall bar is trading above or below its fair value as determined by actual transaction levels. The deviation from this intrabar VWAP is then used as a weighting mechanism—when the close is significantly above the intrabar VWAP, buying volume receives additional weight; when below, selling volume is emphasized. This creates a feedback loop where volume that moves price away from equilibrium is recognized as more significant than volume that keeps price near balance. The imbalance filter represents another layer of analytical sophistication that separates meaningful volume flows from normal market noise. The indicator calculates the absolute difference between buy and sell volume as a percentage of total volume, and this imbalance must exceed a user-defined threshold—defaulted to twenty-five percent but adjustable from five to eighty percent—before the volume flow is considered significant enough to register on the indicator. This filtering mechanism ensures that only bars with clear directional conviction contribute to the cumulative flow measurements, while bars with balanced buying and selling are essentially ignored. This is crucial because markets spend considerable time in equilibrium states where volume is simply facilitating position exchanges without directional intent. By filtering out these neutral periods, the indicator focuses trader attention exclusively on moments when one side of the market is demonstrating clear dominance. The decay factor implementation showcases advanced state management in Pine Script coding. Rather than allowing imbalanced volume to simply disappear after one bar, the indicator maintains decayed values using variable state that persists across bars. When a new significant imbalance occurs, it replaces the decayed value; when no significant imbalance is present, the previous value is multiplied by the decay factor, which defaults to zero point eight-five. This means that a large volume imbalance continues to influence the indicator for several bars afterward, gradually diminishing in impact unless reinforced by new imbalances. This decay mechanism creates persistence in the flow measurements, acknowledging that large institutional volume accumulation or distribution campaigns don't execute in single bars but rather unfold across multiple bars. The cumulative flow calculation then sums these decayed values over a lookback period, creating a running total that represents sustained directional pressure rather than momentary spikes. The dual moving average crossover system applied to these volume flows creates actionable trading signals from the underlying data. The indicator calculates both a fast exponential moving average and a slower simple moving average of the buy flow, sell flow, and net flow values. The use of EMA for the fast line provides responsiveness to recent changes while the SMA for the slow line provides a more stable baseline, and the divergence or convergence between these averages signals shifts in volume flow momentum. When the buy flow EMA crosses above its SMA while volume is elevated, this indicates that buying pressure is not only present but accelerating, which is the foundation for the strong buy signal generation. The same logic applies inversely for selling pressure, creating a symmetrical approach to detecting both upside and downside momentum shifts based on volume characteristics rather than price characteristics. The volume threshold filtering ensures that signals only generate during periods of statistically significant market participation. The indicator calculates a simple moving average of total volume over a user-defined period, defaulted to twenty bars, and then requires that current volume exceed this average by a multiplier, defaulted to one point two times. This ensures that signals occur during periods when the market is actively engaged rather than during quiet periods when a few large orders can create misleading volume patterns. The indicator even distinguishes between high volume—exceeding the threshold—and very high volume—exceeding one point five times the threshold—with the latter triggering background color changes to alert traders to exceptional participation levels. This tiered volume classification allows traders to calibrate their position sizing and conviction levels based on the strength of market participation supporting the signal. The flow momentum calculation adds a velocity dimension to the volume analysis. By calculating the rate of change of the net flow EMA over a user-defined momentum length—defaulted to five bars—the indicator measures not just the direction of volume flow but the acceleration or deceleration of that flow. A positive and increasing flow momentum indicates that buying pressure is not only dominant but intensifying, which typically precedes significant upward price movements. Conversely, negative and decreasing flow momentum suggests selling pressure is building upon itself, often preceding breakdowns. The indicator even calculates a second derivative—the momentum of momentum, termed flow acceleration—which can identify very early turning points when the rate of change itself begins to shift, providing the most forward-looking signal available from this methodology. The divergence detection system represents one of the most powerful features for identifying potential trend reversals and continuations. The indicator maintains separate tracking of price extremes and flow extremes over a lookback period defaulted to fourteen bars. A bearish divergence is identified when price makes a new high or equals the recent high, but the net flow EMA is significantly below its recent high—specifically less than eighty percent of that high—and is declining compared to its value at the divergence lookback distance. This pattern indicates that while price is pushing higher, the volume support for that movement is deteriorating, which frequently precedes reversals. Bullish divergences work inversely, identifying situations where price makes new lows without corresponding weakness in volume flow, suggesting that selling pressure is exhausted and a reversal higher is probable. These divergence signals are plotted as distinct diamond shapes on the indicator, making them visually prominent for trader attention. The accumulation and distribution zone detection provides a longer-term context for understanding institutional positioning. The indicator uses the bars-since function to track consecutive periods where the net flow EMA has remained positive or negative. When buying pressure has persisted for at least five consecutive bars, average intensity exceeds zero point six indicating strong closes within bar ranges, and volume is elevated above the threshold, the indicator identifies an accumulation zone. These zones suggest that smart money is systematically building long positions across multiple bars despite potentially choppy or sideways price action. Distribution zones are identified through the inverse criteria, revealing periods when institutions are systematically exiting or building short positions. These zones are visualized through colored fills on the indicator pane, creating a backdrop that helps traders understand the broader volume flow context beyond individual bar signals. The signal strength scoring system provides a quantitative measure of conviction for each buy or sell signal. Rather than treating all signals as equal, the indicator assigns point values to different signal components: twenty-five points for the buy flow EMA-SMA crossover, twenty-five points for the net flow EMA-SMA crossover, twenty points for high volume presence, fifteen points for positive flow momentum, and fifteen points for bullish divergence presence. These points are summed to create a buy score that can range from zero to one hundred percent, with higher scores indicating that multiple independent confirmation factors are aligned. The same methodology creates a sell score, and these scores are displayed in the information table, allowing traders to quickly assess whether a signal represents a tentative suggestion or a high-conviction setup. This scoring approach transforms the indicator from a binary signal generator into a nuanced probability assessment tool. The visual presentation of the indicator demonstrates exceptional attention to user experience and information density. The primary display shows the net flow EMA as a thick colored line that transitions between green when above zero and above its SMA, indicating strong buying, to a lighter green when above zero but below the SMA, indicating weakening buying, to red when below zero and below the SMA, indicating strong selling, to a lighter red when below zero but above the SMA, indicating weakening selling. This color gradient provides immediate visual feedback about both direction and momentum of volume flows. The net flow SMA is overlaid in orange as a reference line, and a zero line is drawn to clearly delineate positive from negative territory. Behind these lines, a histogram representation of the raw net flow—scaled down by thirty percent for visibility—shows bar-by-bar flow with color intensity reflecting whether flow is strengthening or weakening compared to the previous bar. This layered visualization allows traders to simultaneously see the raw data, the smoothed trend, and the trend of the trend, accommodating both short-term and longer-term trading perspectives. The cumulative delta line adds a macro perspective by maintaining a running sum of all volume deltas divided by one million for scale, plotted in purple as a separate series. This cumulative measure acts similar to an on-balance volume calculation but with the sophisticated volume attribution methodology of this indicator, creating a long-term sentiment gauge that can reveal whether an asset is under sustained accumulation or distribution across days, weeks, or months. Divergences between this cumulative delta and price can identify major trend exhaustion or reversal points that might not be visible in the shorter-term flow measurements. The signal plotting uses shape-based markers rather than background colors or arrows to maximize clarity while preserving chart space. Strong buy signals—meeting multiple criteria including EMA-SMA crossover, high volume, and positive momentum—appear as full-size green triangle-up shapes at the bottom of the indicator pane. Strong sell signals appear as full-size red triangle-down shapes at the top. Regular buy and sell signals that meet fewer criteria appear as smaller, semi-transparent circles, indicating they warrant attention but lack the full confirmation of strong signals. Divergence-based signals appear as distinct diamond shapes in cyan for bullish divergences and orange for bearish divergences, ensuring these critical reversal indicators are immediately recognizable and don't get confused with momentum-based signals. This multi-tiered signal hierarchy helps traders prioritize their analysis and avoid signal overload. The information table in the top-right corner of the indicator pane provides real-time quantitative feedback on all major calculation components. It displays the current bar's buy volume and sell volume in millions with appropriate color coding, the imbalance percentage with color indicating whether it exceeds the threshold, the average intensity score showing whether closes are generally near highs or lows, the flow momentum value, and the current buy and sell scores. This table transforms the indicator from a purely graphical tool into a quantitative dashboard, allowing discretionary traders to incorporate specific numerical thresholds into their decision frameworks. For example, a trader might require that buy score exceed seventy percent and intensity exceed zero point six-five before taking a long position, creating objective entry criteria from subjective chart reading. The background shading that occurs during very high volume periods provides an ambient alert system that doesn't require focused attention on the indicator pane. When volume spikes to one point five times the threshold and net flow EMA is positive, a very light green background appears across the entire indicator pane; when volume spikes with negative net flow, a light red background appears. These backgrounds create a subliminal awareness of exceptional market participation moments, ensuring traders notice when the market is making important decisions even if they're focused on price action or other indicators at that moment. The alert system built into the indicator allows traders to receive notifications for strong buy signals, strong sell signals, bullish divergences, bearish divergences, and very high volume events. These alerts can be configured in TradingView to send push notifications to mobile devices, emails, or webhook calls to automated trading systems. This functionality transforms the indicator from a passive analysis tool into an active monitoring system that can watch markets continuously and notify the trader only when significant volume flow developments occur. For traders monitoring multiple instruments, this alert capability is invaluable for efficient time allocation, allowing them to analyze other opportunities while being instantly notified when this indicator identifies high-probability setups on their watch list. The coding implementation demonstrates advanced Pine Script techniques including the use of request.security_lower_tf to access intrabar data, array manipulation to process variable-length intrabar arrays, proper variable scoping with var keyword for persistent state management across bars, and efficient conditional logic that prevents unnecessary calculations. The code structure with clearly delineated sections for inputs, calculations, signal generation, plotting, and alerts makes it maintainable and educational for those studying Pine Script development. The use of input groups with custom headers creates an organized settings panel that doesn't overwhelm users with dozens of ungrouped parameters, while still providing substantial customization capability for advanced users who want to optimize the indicator for specific instruments or timeframes. For practical trading application, this indicator excels in several specific use cases. Scalpers and day traders can use the intrabar analysis to identify accumulation or distribution happening within the bars of their entry timeframe, providing early entry signals before momentum indicators or price patterns complete. Swing traders can use the cumulative delta and accumulation-distribution zones to understand whether short-term pullbacks in an uptrend are being bought or sold, helping distinguish between healthy retracements and trend reversals. Position traders can use the divergence detection to identify major turning points where price extremes are not supported by volume, providing low-risk entry points for counter-trend positions or warnings to exit with-trend positions before significant reversals. The indicator is particularly valuable in ranging markets where price-based indicators produce numerous false breakout signals. By requiring that breakouts be accompanied by volume flow imbalances, the indicator filters out failed breakouts driven by low participation. When price breaks a range boundary accompanied by a strong buy or sell signal with high buy or sell score and very high volume, the probability of successful breakout follow-through increases dramatically. Conversely, when price breaks a range but the indicator shows low imbalance, opposing flow direction, or low volume, traders can fade the breakout or at minimum avoid chasing it. During trending markets, the indicator helps traders identify the healthiest entry points by revealing where pullbacks are being accumulated by smart money. A trending market will show the cumulative delta continuing in the trend direction even as price pulls back, and accumulation zones will form during these pullbacks. When price resumes the trend, the indicator will generate strong buy or sell signals with high scores, providing objective entry points with clear invalidation levels. The flow momentum component helps traders stay with trends longer by distinguishing between healthy momentum pauses—where momentum goes to zero but doesn't reverse—and actual momentum reversals where opposing pressure is building. The VWAP deviation weighting adds particular value for traders of liquid instruments like major forex pairs, stock indices, and high-volume stocks where VWAP is widely watched by institutional participants. When price deviates significantly from the intrabar VWAP and volume flows in the direction of that deviation with elevated weighting, it indicates that the move away from fair value is being driven by conviction rather than mechanical order flow. This suggests the deviation will likely extend further, creating continuation trading opportunities. Conversely, when price deviates from intrabar VWAP but volume flow shows reduced intensity or opposing direction despite the weighting, it suggests the deviation will revert to VWAP, creating mean reversion opportunities. The ATR normalization option makes the indicator values comparable across different volatility regimes and different instruments. Without normalization, a one-million share buy-sell imbalance might be significant for a low-volatility stock but trivial for a high-volatility cryptocurrency. By normalizing the delta by ATR, the indicator accounts for the typical price movement capacity of the instrument, making signal thresholds and comparison values meaningful across different trading contexts. This is particularly valuable for traders running the indicator on multiple instruments who want consistent signal quality regardless of the underlying instrument characteristics. The configurable decay factor allows traders to adjust how persistent they want volume flows to remain influential. For very short-term scalping, a lower decay factor like zero point five will cause volume imbalances to dissipate quickly, keeping the indicator focused only on very recent flows. For longer-term position trading, a higher decay factor like zero point nine-five will allow significant volume events to influence the indicator for many bars, revealing longer-term accumulation and distribution patterns. This flexibility makes the single indicator adaptable to trading styles ranging from one-minute scalping to daily chart position trading simply by adjusting the decay parameter and the lookback bars. The minimum imbalance percentage setting provides crucial noise filtering that can be optimized per instrument. Highly liquid instruments with tight spreads might show numerous small imbalances that are meaningless, requiring a higher threshold like thirty-five or forty percent to filter noise effectively. Thinly traded instruments might rarely show extreme imbalances, requiring a lower threshold like fifteen or twenty percent to generate adequate signals. By making this threshold user-configurable with a wide range, the indicator accommodates the full spectrum of market microstructure characteristics across different instruments and timeframes. In conclusion, the Intrabar Volume Flow Intelligence indicator represents a comprehensive volume analysis system that combines intrabar data access, sophisticated volume attribution algorithms, multi-timeframe smoothing, statistical filtering, divergence detection, zone identification, and intelligent signal scoring into a cohesive analytical framework. It provides traders with visibility into market dynamics that are invisible to price-only analysis and even to conventional volume analysis, revealing the true intentions of market participants through their actual transaction behavior within each bar. The indicator's strength lies not in any single feature but in the integration of multiple analytical layers that confirm and validate each other, creating high-probability signal generation that can form the foundation of complete trading systems or provide powerful confirmation for discretionary analysis. For traders willing to invest time in understanding its components and optimizing its parameters for their specific instruments and timeframes, this indicator offers a significant informational advantage in increasingly competitive markets where edge is derived from seeing what others miss and acting on that information before it becomes consensus.
אינדיקטור Pine Script®
מאת ‎jaydesaigu‎
CVD Zones & Divergence [Pro]# CVD Zones & Divergence **Complete CVD order flow toolkit** - Divergences, POC, Profile, and Supply/Demand zones all in one professional indicator. ## 🎯 What It Does Combines **four powerful order flow tools** into a single, cohesive indicator: 1. **CVD Divergences** - Early warnings + confirmed signals 2. **Point of Control (POC)** - Fair value equilibrium line 3. **CVD Profile** - Visual distribution histogram 4. **Supply/Demand Zones** - Real absorption-based S/R levels All based on **Cumulative Volume Delta (CVD)** - actual buying/selling pressure, not approximations. ## ✨ Key Features ### 🔄 CVD Divergences (Dual Mode) **Confirmed Divergences** (High Accuracy) - Solid lines (customizable colors) - 🔻 Bear / 🔺 Bull labels - Win rate: ~70-80% - Best for swing traders **Early Warning Mode** ⚡ (Fast Signals) - Dashed lines (default purple) - ⚠️ Early Bear / ⚠️ Early Bull labels - Fires 6+ bars earlier - Win rate: ~55-65% - Best for scalpers/day traders ### 🎯 Point of Control (POC) - **Independent lookback** (300 bars default) - Yellow line showing fair value - Where most CVD activity occurred - Acts as dynamic support/resistance - Resets and recalculates continuously ### 📊 CVD Profile Histogram - **Visual CVD distribution** over lookback period - **Split buy/sell** (blue/orange bars) - **Value Area** (70% CVD zone highlighted) - Position: Right/Left/Current (your choice) - Shows where actual order flow happened ### 📦 Supply/Demand Zones - **Absorption-based** detection (not guesses!) - Green = Demand (buyers absorbed 2:1+) - Red = Supply (sellers absorbed 2:1+) - Shows **real** institutional levels - Auto-sorted by strength - Displays top 8 zones ## 📊 What You See on Chart ``` Your Chart: ├─ 🔴 Red lines (bearish divergences) ├─ 🟢 Green lines (bullish divergences) ├─ 🟣 Purple dashed (early warnings) ├─ 🟡 Yellow POC line (fair value) ├─ 📊 Blue/Orange profile (right side) ├─ 🟢 Green boxes (demand zones) └─ 🔴 Red boxes (supply zones) ``` ## ⚙️ Recommended Settings ### 15m Day Trading (Most Popular) ``` 📊 Profile: - Lookback: 150 bars - Profile Rows: 24 - Position: Right 🎯 POC: - POC Lookback: 300 bars - Show POC: ON 📦 Zones: - Min Absorption Ratio: 2.0 - HVN Threshold: 1.5 - Max Zones: 8 🔄 Divergences: - Pivot L/R: 9 - Early Warning: ON - Early Right Bars: 3 - Min Bars Between: 40 - Min CVD Diff: 5% ``` ### 5m Scalping ``` Profile Lookback: 100 POC Lookback: 200 Pivot L/R: 7 Early Warning Right: 2 Min Bars Between: 60 ``` ### 1H Swing Trading ``` Profile Lookback: 200 POC Lookback: 400-500 Pivot L/R: 12-14 Early Warning Right: 4-5 Min Bars Between: 30 Min CVD Diff: 8% ``` ## 💡 How to Trade ### Setup 1: Divergence at Zone ⭐ (BEST - 75%+ win rate) **Entry:** - Price hits demand/supply zone - Divergence appears (early or confirmed) - Double confluence = high probability **Example (Long):** ``` 1. Price drops into green demand zone 2. ⚠️ Early bullish divergence fires 3. Enter long with tight stop below zone 4. Target: POC or next supply zone ``` **Risk/Reward:** 1:3 to 1:5 --- ### Setup 2: POC Bounce/Rejection **Entry:** - Price approaches POC line - Wait for reaction (bounce or rejection) - Enter in direction of reaction **Long Setup:** ``` 1. Price pulls back to POC from above 2. POC acts as support 3. Bullish divergence appears (confirmation) 4. Enter long, stop below POC ``` **Short Setup:** ``` 1. Price rallies to POC from below 2. POC acts as resistance 3. Bearish divergence appears 4. Enter short, stop above POC ``` **Risk/Reward:** 1:2 to 1:4 --- ### Setup 3: Zone + Profile Confluence **Entry:** - Supply/demand zone aligns with thick profile bar - Shows high CVD activity at that level - Triple confluence = very high probability **Example:** ``` 1. Supply zone at 26,100 2. Profile shows heavy selling at 26,100 3. Price rallies to 26,100 4. Bearish divergence appears 5. Enter short ``` **Risk/Reward:** 1:4 to 1:6 --- ### Setup 4: Early Warning Scalp ⚡ **Entry (Aggressive):** - ⚠️ Early warning fires - Price at zone or POC - Enter immediately - Tight stop (1-2 ATR) **Management:** ``` - Take 50% profit at 1:1 - Move stop to breakeven - 🔻 Confirmed signal → Trail stop - Exit rest at target ``` **Risk/Reward:** 1:1.5 to 1:2 **Trades/day:** 3-8 --- ### Setup 5: Multi-Timeframe (Advanced) **Confirmation Required:** ``` Higher TF (1H): - Confirmed divergence - At major POC or zone Lower TF (15m): - Early warning triggers - Entry with better timing ``` **Benefits:** - HTF gives direction - LTF gives entry - Best of both worlds **Risk/Reward:** 1:3 to 1:5 --- ## 📊 Component Details ### CVD Profile **What the colors mean:** - **Blue bars** = Buying CVD (demand) - **Orange bars** = Selling CVD (supply) - **Lighter shade** = Value Area (70% CVD) - **Thicker bar** = More volume at that price **How to use:** - Thick bars = Support/Resistance - Profile shape shows market structure - Balanced profile = range - Skewed profile = trend --- ### Supply/Demand Zones **How they're detected:** 1. High Volume Node (1.5x average) 2. CVD buy/sell ratio calculated 3. Ratio ≥ 2.0 → Zone created 4. Sorted by strength (top 8 shown) **Zone labels show:** - Type: "Demand" or "Supply" - Ratio: "2.8:1" = strength **Not like other indicators:** - ❌ Other tools use price action alone - ✅ This uses actual CVD absorption - Shows WHERE limit orders defended levels --- ### Point of Control (POC) **What it shows:** - Price with highest CVD activity - Market's "fair value" - Dynamic S/R level **How to use:** - Price above POC = bullish bias - Price below POC = bearish bias - POC retest = trading opportunity - POC cross = trend change signal **Independent lookback:** - Profile: 150 bars (short-term) - POC: 300 bars (longer-term context) - Gives stable, relevant POC --- ## 🔧 Settings Explained ### 📊 Profile Settings **Lookback Bars** (150 default) - How many bars for profile calculation - Lower = more recent, reactive - Higher = more historical, stable **Profile Rows** (24 default) - Granularity of distribution - Lower = coarser (faster) - Higher = finer detail (slower) **Profile Position** - Right: After current price - Left: Before lookback period - Current: At lookback start **Value Area** (70% default) - Highlights main CVD concentration - 70% is standard - Higher % = wider zone --- ### 🎯 POC Settings **POC Lookback** (300 default) - Independent from profile - Longer = more stable POC - Shorter = more reactive POC **Show POC Line/Label** - Toggle visibility - Customize color/width --- ### 📦 Zone Settings **Min Absorption Ratio** (2.0 default) - Buy/Sell threshold for zones - 2.0 = 2:1 ratio minimum - Higher = fewer, stronger zones **HVN Threshold** (1.5 default) - Volume must be 1.5x average - Higher = stricter filtering - Lower = more zones **Max Zones** (8 default) - Limits display clutter - Shows strongest N zones only --- ### 🔄 Divergence Settings **Pivot Left/Right** (9/9 default) - Bars to confirm pivot - Higher = slower, more confirmed - Lower = faster, less confirmed **Early Warning** - ON = Show early signals - Early Right Bars (3 default) - 3 = 6 bars faster than confirmed **Filters:** - Min Bars Between (40): Prevents spam - Min CVD Diff % (5): Filters weak signals **Visual:** - Line styles: Solid/Dashed/Dotted - Colors: Customize all 4 types - Labels: Toggle ON/OFF --- ## 🎨 Color Customization **Divergences:** - Bullish Confirmed: Green (default) - Bearish Confirmed: Red (default) - Early Bullish: Purple (default) - Early Bearish: Purple (default) **Zones & Profile:** - Bull/Demand: Green - Bear/Supply: Red - Buy CVD Profile: Blue - Sell CVD Profile: Orange - Value Area Up/Down: Lighter blue/orange **POC:** - POC Color: Yellow (default) All customizable to your preference! --- ## 🔔 Alerts Available **6 Alert Types:** 1. 🔻 Bearish Divergence (confirmed) 2. 🔺 Bullish Divergence (confirmed) 3. ⚠️ Early Bearish Warning 4. ⚠️ Early Bullish Warning 5. (Manual: POC cross) 6. (Manual: Zone touch) **Setup:** 1. Click Alert (⏰) 2. Choose "CVD Zones & Divergence" 3. Select alert type 4. Configure notification 5. Create! --- ## 💎 Pro Tips ### From Experienced Traders: **"Use zones with divergences for best setups"** - Zone alone: 60% win rate - Divergence alone: 65% win rate - Both together: 75%+ win rate **"POC is your friend"** - Price tends to revert to POC - Great target for counter-trend trades - POC cross = potential trend change **"Profile tells the story"** - Thick bars = institutional levels - Balanced profile = range-bound - Skewed high = distribution (top) - Skewed low = accumulation (bottom) **"Early warnings for entries, confirmed for confidence"** - Early = better entry price - Confirmed = validation - Use both in scale-in strategy **"Filter by timeframe"** - 1m-5m: Very fast, many signals - 15m: Sweet spot for most traders - 1H-4H: High quality, fewer signals --- ## 🔧 Tuning Guide ### Too Cluttered? **Simplify:** ``` ✅ Show Divergences: ON ✅ Show POC: ON ❌ Show Zones: OFF (or reduce to 4-5) ❌ Show Value Area: OFF ❌ Divergence Labels: OFF → Clean chart with just lines + POC ``` ### Missing Opportunities? **More Signals:** ``` ↓ Pivot Right: 6-7 ↓ Early Warning Right: 2 ↓ Min Bars Between: 25-30 ↓ Min CVD Diff: 2-3% ↓ Min Absorption Ratio: 1.8 ``` ### Too Many False Signals? **Stricter Filters:** ``` ↑ Pivot Right: 12-15 ↑ Min Bars Between: 60 ↑ Min CVD Diff: 8-10% ↑ Min Absorption Ratio: 2.5 ↓ Max Zones: 4-5 ``` ### POC Not Making Sense? **Adjust POC Lookback:** ``` If too high: Increase to 400-500 If too low: Increase to 400-500 If jumping around: Increase to 500+ → Longer lookback = more stable POC ``` --- ## ❓ FAQ **Q: Difference from CVD Divergence (standalone)?** A: This is the **complete package**: - Divergence tool = divergences only - This = divergences + POC + profile + zones - Use divergence tool for clean charts - Use this for full analysis **Q: Too slow/laggy?** A: Reduce computational load: ``` Profile Rows: 18 (from 24) Lookback: 100 (from 150) Max Zones: 5 (from 8) ``` **Q: No volume data error?** A: Symbol has no volume - Works: Futures, stocks, crypto - Maybe: Forex (broker-dependent) - Doesn't work: Some forex pairs **Q: Can I use just some features?** A: Absolutely! Toggle what you want: ``` Zones only: Turn off divergences + POC POC only: Turn off zones + divergences Divergences only: Turn off zones + POC + profile Mix and match as needed! ``` **Q: Best timeframe?** A: - **1m-5m**: Scalping (busy, many signals) - **15m**: Day trading ⭐ (recommended) - **1H-4H**: Swing trading (quality signals) - **Daily**: Position trading (very selective) **Q: Works on crypto/forex/stocks?** A: - ✅ Futures: Excellent - ✅ Stocks: Excellent - ✅ Crypto: Very good (major pairs) - ⚠️ Forex: Depends on broker volume --- ## 📈 Performance Expectations ### Realistic Win Rates | Strategy | Win Rate | Avg R/R | Trades/Week | |----------|----------|---------|-------------| | Early warnings only | 55-65% | 1:1.5 | 15-30 | | Confirmed only | 70-80% | 1:2 | 8-15 | | Divergence + Zone | 75-85% | 1:3 | 5-12 | | Full confluence (all 4) | 80-90% | 1:4+ | 3-8 | **Keys to success:** - Don't trade every signal - Wait for confluence - Proper risk management - Trade what you see, not what you think --- ## 🚀 Quick Start **New User (5 minutes):** 1. ✅ Add to 15m chart 2. ✅ Default settings work well 3. ✅ Watch for 1 week (don't trade yet!) 4. ✅ Note which setups work best 5. ✅ Backtest on 50+ signals 6. ✅ Start with small size 7. ✅ Scale up slowly **First Trade Checklist:** - Divergence + Zone/POC = confluence - Clear S/R level nearby - Risk/reward minimum 1:2 - Position size = 1% risk max - Stop loss placed - Target identified - Journal entry ready --- ## 📊 What Makes This Special? **Most indicators:** - Use RSI/MACD divergences (lagging) - Guess at S/R zones (subjective) - Don't show actual order flow **This indicator:** - Uses real CVD (actual volume delta) - Absorption-based zones (real orders) - Profile shows distribution (real activity) - POC shows equilibrium (real fair value) - All from one data source (coherent) **Result:** - Everything aligns - No conflicting signals - True order flow analysis - Professional-grade toolkit --- ## 🎯 Trading Philosophy **Remember:** - Indicator shows you WHERE to look - YOU decide whether to trade - Quality over quantity always - Risk management is #1 - Patience beats aggression **Best trades have:** - ✅ Multiple confluences - ✅ Clear risk/reward - ✅ Obvious invalidation point - ✅ Aligned with trend/context **Worst trades have:** - ❌ Single signal only - ❌ Poor location (middle of nowhere) - ❌ Unclear stop placement - ❌ Counter to all context --- ## ⚠️ Risk Disclaimer **Important:** - Past performance ≠ future results - All trading involves risk - Only risk what you can afford to lose - This is a tool, not financial advice - Use proper position sizing - Keep a trading journal - Consider professional advice **Your responsibility:** - Which setups to trade - Position size - Entry/exit timing - Risk management - Emotional control **Success = Tool + Strategy + Discipline + Risk Management** --- ## 📝 Version History **v1.0** - Current Release - CVD divergences (confirmed + early warning) - Point of Control (independent lookback) - CVD profile histogram - Supply/demand absorption zones - Value area visualization - 6 alert types - Full customization --- ## 💬 Community **Questions?** Drop a comment below **Success story?** Share with the community **Feature request?** Let me know **Bug report?** Provide details in comments --- **Happy Trading! 🚀📊** *Professional order flow analysis in one indicator.* **Like this?** ⭐ Follow for more quality tools!
אינדיקטור Pine Script®
מאת ‎kb1ath‎
Simple Candle Strategy# Candle Pattern Strategy - Pine Script V6 ## Overview A TradingView trading strategy script (Pine Script V6) that identifies candlestick patterns over a configurable lookback period and generates trading signals based on pattern recognition rules. ## Strategy Logic The strategy analyzes the most recent N candlesticks (default: 5) and classifies their patterns into three categories, then generates buy/sell signals based on specific pattern combinations. ### Candlestick Pattern Classification Each candlestick is classified as one of three types: | Pattern | Definition | Formula | |---------|-----------|---------| | **Close at High** | Close price near the highest price of the candle | `(high - close) / (high - low) ≤ (1 - threshold)` | | **Close at Low** | Close price near the lowest price of the candle | `(close - low) / (high - low) ≤ (1 - threshold)` | | **Doji** | Opening and closing prices very close; long upper/lower wicks | `abs(close - open) / (high - low) ≤ threshold` | ### Trading Rules | Condition | Action | Signal | |-----------|--------|--------| | Number of Doji candles ≥ 3 | **SKIP** - Market is too chaotic | No trade | | "Close at High" count ≥ 2 + Last candle closes at high | **LONG** - Bullish confirmation | Buy Signal | | "Close at Low" count ≥ 2 + Last candle closes at low | **SHORT** - Bearish confirmation | Sell Signal | ## Configuration Parameters All parameters are adjustable in TradingView's "Settings/Inputs" tab: | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | **K-line Lookback Period** | 5 | 3-20 | Number of candlesticks to analyze | | **Doji Threshold** | 0.1 | 0.0-1.0 | Body size / Total range ratio for doji identification | | **Doji Count Limit** | 3 | 1-10 | Number of dojis that triggers skip signal | | **Close at High Proximity** | 0.9 | 0.5-1.0 | Required proximity to highest price (0.9 = 90%) | | **Close at Low Proximity** | 0.9 | 0.5-1.0 | Required proximity to lowest price (0.9 = 90%) | ### Parameter Tuning Guide #### Proximity Thresholds (Close at High/Low) - **0.95 or higher**: Stricter - only very strong candles qualify - **0.90 (default)**: Balanced - good for most market conditions - **0.80 or lower**: Looser - catches more patterns, higher false signals #### Doji Threshold - **0.05-0.10**: Strict doji identification - **0.10-0.15**: Standard doji detection - **0.15+**: Includes near-doji patterns #### Lookback Period - **3-5 bars**: Fast, sensitive to recent patterns - **5-10 bars**: Balanced approach - **10-20 bars**: Slower, filters out noise ## Visual Indicators ### Chart Markers - **Green Up Arrow** ▲: Long entry signal triggered - **Red Down Arrow** ▼: Short entry signal triggered - **Gray X**: Skip signal (too many dojis detected) ### Statistics Table Located at top-right corner, displays real-time pattern counts: - **Close at High**: Count of candles closing near the high - **Close at Low**: Count of candles closing near the low - **Doji**: Count of doji/near-doji patterns ### Signal Labels - Green label: "✓ Long condition met" - below entry bar - Red label: "✓ Short condition met" - above entry bar - Gray label: "⊠ Too many dojis, skip" - trade skipped ## Risk Management ### Exit Strategy The strategy includes built-in exit rules based on ATR (Average True Range): - **Stop Loss**: ATR × 2 - **Take Profit**: ATR × 3 Example: If ATR is $10, stop loss is at -$20 and take profit is at +$30 ### Position Sizing Default: 100% of equity per trade (adjustable in strategy properties) **Recommendation**: Reduce to 10-25% of equity for safer capital allocation ## How to Use ### 1. Copy the Script 1. Open TradingView 2. Go to Pine Script Editor 3. Create a new indicator 4. Copy the entire `candle_pattern_strategy.pine` content 5. Click "Add to Chart" ### 2. Apply to Chart - Select your preferred timeframe (1m, 5m, 15m, 1h, 4h, 1d) - Choose a trading symbol (stocks, forex, crypto, etc.) - The strategy will generate signals on all historical bars and in real-time ### 3. Configure Parameters 1. Right-click the strategy on chart → "Settings" 2. Adjust parameters in the "Inputs" tab 3. Strategy will recalculate automatically 4. Backtest results appear in the Strategy Tester panel ### 4. Backtesting 1. Click "Strategy Tester" (bottom panel) 2. Set date range for historical testing 3. Review performance metrics: - Win rate - Profit factor - Drawdown - Total returns ## Key Features ✅ **Execution Model Compliant** - Follows official Pine Script V6 standards ✅ **Global Scope** - All historical references in global scope for consistency ✅ **Adjustable Sensitivity** - Fine-tune all pattern detection thresholds ✅ **Real-time Updates** - Works on both historical and real-time bars ✅ **Visual Feedback** - Clear signals with labels and statistics table ✅ **Risk Management** - Built-in ATR-based stop loss and take profit ✅ **No Repainting** - Signals remain consistent after bar closes ## Important Notes ### Before Trading Live 1. **Backtest thoroughly**: Test on at least 6-12 months of historical data 2. **Paper trading first**: Practice with simulated trades 3. **Optimize parameters**: Find the best settings for your trading instrument 4. **Manage risk**: Never risk more than 1-2% per trade 5. **Monitor performance**: Review trades regularly and adjust as needed ### Market Conditions The strategy works best in: - Trending markets with clear directional bias - Range-bound markets with defined support/resistance - Markets with moderate volatility The strategy may underperform in: - Highly choppy/noisy markets (many false signals) - Markets with gaps or overnight gaps - Low liquidity periods ### Limitations - Works on chart timeframes only (not intrabar analysis) - Requires at least 5 bars of history (configurable) - Fixed exit rules may not suit all trading styles - No trend filtering (will trade both directions) ## Technical Details ### Historical Buffer Management The strategy declares maximum bars back to ensure enough historical data: ```pine max_bars_back(close, 20) max_bars_back(open, 20) max_bars_back(high, 20) max_bars_back(low, 20) ``` This prevents runtime errors when accessing historical candlestick data. ### Pattern Detection Algorithm ``` For each bar in lookback period: 1. Calculate (high - close) / (high - low) → close_to_high_ratio 2. If close_to_high_ratio ≤ (1 - threshold) → count as "Close at High" 3. Calculate (close - low) / (high - low) → close_to_low_ratio 4. If close_to_low_ratio ≤ (1 - threshold) → count as "Close at Low" 5. Calculate abs(close - open) / (high - low) → body_ratio 6. If body_ratio ≤ doji_threshold → count as "Doji" Signal Generation: 7. If doji_count ≥ cross_count_limit → SKIP_SIGNAL 8. If close_at_high_count ≥ 2 AND last_close_at_high → LONG_SIGNAL 9. If close_at_low_count ≥ 2 AND last_close_at_low → SHORT_SIGNAL ``` ## Example Scenarios ### Scenario 1: Bullish Signal ``` Last 5 bars pattern: Bar 1: Closes at high (95%) ✓ Bar 2: Closes at high (92%) ✓ Bar 3: Closes at mid (50%) Bar 4: Closes at low (10%) Bar 5: Closes at high (96%) ✓ (last bar) Result: - Close at high count: 3 (≥ 2) ✓ - Last closes at high: ✓ - Doji count: 0 (< 3) ✓ → LONG SIGNAL ✓ ``` ### Scenario 2: Skip Signal ``` Last 5 bars pattern: Bar 1: Doji pattern ✓ Bar 2: Doji pattern ✓ Bar 3: Closes at mid Bar 4: Doji pattern ✓ Bar 5: Closes at high Result: - Doji count: 3 (≥ 3) → SKIP SIGNAL - Market too chaotic ``` ## Performance Optimization ### Tips for Better Results 1. **Use Higher Timeframes**: 15m or higher reduces false signals 2. **Combine with Indicators**: Add volume or trend filters 3. **Seasonal Adjustment**: Different parameters for different seasons 4. **Instrument Selection**: Test on liquid, high-volume instruments 5. **Regular Rebalancing**: Adjust parameters quarterly based on performance ## Troubleshooting ### No Signals Generated - Check if lookback period is too large - Verify proximity thresholds aren't too strict (try 0.85 instead of 0.95) - Ensure doji limit allows for trading (try 4-5 instead of 3) ### Too Many False Signals - Increase proximity thresholds to 0.95+ - Reduce lookback period to 3-4 bars - Increase doji limit to 3-4 - Test on higher timeframes ### Strategy Tester Shows Losses - Review individual trades to identify patterns - Adjust stop loss and take profit ratios - Change lookback period and thresholds - Test on different market conditions ## References - (www.tradingview.com) - (www.tradingview.com) - (www.investopedia.com) - (www.investopedia.com) ## Disclaimer **This strategy is provided for educational and research purposes only.** - Not financial advice - Past performance does not guarantee future results - Always conduct thorough backtesting before live trading - Trading involves significant risk of loss - Use proper risk management and position sizing ## License Created: December 15, 2025 Version: 1.0 --- **For updates and modifications, refer to the accompanying documentation files.**
אסטרטגיית Pine Script®
מאת ‎masteraux101‎
PoC Migration Map [BackQuant]PoC Migration Map A volume structure tool that builds a side volume profile, extracts rolling Points of Control (PoCs), and maps how those PoCs migrate through time so you can see where value is moving, how volume clusters shift, and how that aligns with trend regime. What this is This indicator combines a classic volume profile with a segmented PoC trail. It looks back over a configurable window, splits that window into bins by price, and shows you where volume has concentrated. On top of that, it slices the lookback into fixed bar segments, finds the local PoC in each segment, and plots those PoCs as a chain of nodes across the chart. The result is a "migration map" of value: A side volume profile that shows how volume is distributed over the recent price range. A sequence of PoC nodes that show where local value has been accepted over time. Lines that connect those PoCs to reveal the path of value migration. Optional trend coloring based on EMA 12 and EMA 21, so each PoC also encodes trend regime. Used together, this gives you a structural read on where the market has actually traded size, how "value" is moving, and whether that movement is aligned or fighting the current trend. Core components Lookback volume profile - a side histogram built from all closes and volumes in the chosen lookback window. Segmented PoC trail - rolling PoCs computed over fixed bar segments, plotted as nodes in time. Trend heatmap - optional color mapping of PoC nodes using EMA 12 versus EMA 21. PoC labels - optional labels on every Nth PoC for easier reading and referencing. How it works 1) Global lookback and binning You choose: Lookback Bars - how far back to collect data. Number of Bins - how finely to split the price range. The script: Finds the highest high and lowest low in the lookback. Computes the total price range and divides it into equal binCount slices. Assigns each bar's close and volume into the appropriate price bin. This creates a discretized volume distribution across the entire lookback. 2) Side volume profile If "Show Side Profile" is enabled, a right-hand volume profile is drawn: Each bin becomes a horizontal bar anchored at a configurable "Right Offset" from the current bar. The horizontal width of each bar is proportional to that bin's volume relative to the maximum volume bin. Optionally, volume values and percentages are printed inside the profile bars. Color and transparency are controlled by: Base Profile Color and its transparency. A gradient that uses relative volume to modulate opacity between lower volume and higher volume bins. Profile Width (%) - how wide the maximum bin can extend in bars. This gives you an at-a-glance view of the volume landscape for the chosen lookback window. 3) Segmenting for PoC migration To build the PoC trail, the lookback is divided into segments: Bars per Segment - bars in each local cluster. Number of Segments - how many segments you want to see back in time. For each segment: The script uses the same price bins and accumulates volume only from bars in that segment. It finds the bin with the highest volume in that segment, which is the local PoC for that segment. It sets the PoC price to the center of that bin. It finds the "mid bar" of the segment and places the PoC node at that time on the chart. This is repeated for each segment from older to newer, so you get a chain of PoCs that shows how local value has migrated over time. 4) Trend regime and color coding The indicator precomputes: EMA 12 (Fast). EMA 21 (Slow). For each PoC: It samples EMA 12 and EMA 21 at the mid bar of that segment. It computes a simple trend score as fast EMA minus slow EMA. If trend heatmap is enabled, PoC nodes (and the lines between them) are colored by: Trend Up Color if EMA 12 is above EMA 21. Trend Down Color if EMA 12 is below EMA 21. Trend Flat Color if they are roughly equal. If the trend heatmap is disabled, PoC color is instead based on PoC migration: If the current PoC is above the previous PoC, use the Up PoC Color. If the current PoC is below the previous PoC, use the Down PoC Color. If unchanged, use the Flat PoC Color. 5) Connecting PoCs and labels Once PoC prices and times are known: Each PoC is connected to the previous one with a dotted line, using the PoC's color. Optional labels are placed next to every Nth PoC: Label text uses a simple "PoC N" scheme. Label background uses a configurable label background color. Label border is colored by the PoC's own color for visual consistency. This turns the PoCs into a visual path that can be read like a "value trajectory" across the chart. What it plots When fully enabled, you will see: A right-sided volume profile for the chosen lookback window, built from volume by price. Colored horizontal bars representing each price bin's relative volume. Optional volume text showing each bin's volume and its percentage of the profile maximum. A series of PoC nodes spaced across the chart at the mid point of each segment. Dotted lines connecting those PoCs to show the migration path of value. Optional PoC labels at each Nth node for easier reference. Color-coding of PoCs and lines either by EMA 12 / 21 trend regime or by up/down PoC drift. Reading PoC migration and market pressure Side profile as a pressure map The side profile shows where trading has been most active: Thick, opaque bars represent high volume zones and possible high interest or acceptance areas. Thin, faint bars represent low volume zones, potential rejection or transition areas. When price trades near a high volume bin, the market is sitting on an area of prior acceptance and size. When price moves quickly through low volume bins, it often does so with less friction. This gives you a static map of where the market has been willing to do business within your lookback. PoC trail as a value migration map The PoC chain represents "where value has lived" over time: An upward sloping PoC trail indicates value migrating higher. Buyers have been willing to transact at increasingly higher prices. A downward sloping trail indicates value migrating lower and sellers pushing the center of mass down. A flat or oscillating trail indicates balance or rotational behaviour, with no clear directional acceptance. Taken together, you can interpret: Side profile as "where the volume mass sits", a static pressure field. PoC trail as "how that mass has moved", the dynamic path of value. Trend heatmap as a regime overlay When PoCs are colored by the EMA 12 / 21 spread: Green PoCs mark segments where the faster EMA is above the slower EMA, that is, a local uptrend regime. Red PoCs mark segments where the faster EMA is below the slower EMA, that is, a local downtrend regime. Gray PoCs mark flat or ambiguous trend segments. This lets you answer questions like: "Is value migrating higher while the trend regime is also up?" (trend confirming value). "Is value migrating higher but most PoCs are red?" (value against the prevailing trend). "Has value started to roll over just as PoCs flip from green to red?" (early regime transition). Key settings General Settings Lookback Bars - how many bars back to use for both the global volume profile and segment profiles. Number of Bins - how many price bins to split the high to low range into. Profile Settings Show Side Profile - toggle the right-hand volume profile on or off. Profile Width (%) - how wide the largest volume bar is allowed to be in terms of bars. Base Profile Color - the starting color for profile bars, with transparency. Show Volume Values - if enabled, print volume and percent for each non-zero bin. Profile Text Color - color for volume text inside the profile. PoC Migration Settings Show PoC Migration - toggle the PoC trail plotting. Bars per Segment - the number of bars contained in each segment. Number of Segments - how many segments to build backwards from the current bar. Horizontal Spacing (bars) - spacing between PoC nodes when drawn. (Used to separate PoCs horizontally.) Label Every Nth PoC - draw labels at every Nth PoC (0 or 1 to suppress labels). Right Offset (bars) - horizontal offset to anchor the side profile on the right. Up PoC Color - color used when a PoC is higher than the previous one, if trend heatmap is off. Down PoC Color - color used when a PoC is lower than the previous one, if trend heatmap is off. Flat PoC Color - color used when the PoC is unchanged, if trend heatmap is off. PoC Label Background - background color for PoC labels. Trend Heatmap Settings Color PoCs By Trend (EMA 12 / 21) - when enabled, overrides simple up/down coloring and uses EMA-based trend colors. Fast EMA - length for the fast EMA. Slow EMA - length for the slow EMA. Trend Up Color - color for PoCs in a bullish EMA regime. Trend Down Color - color for PoCs in a bearish EMA regime. Trend Flat Color - color for neutral or flat EMA regimes. Trading applications 1) Value migration and trend confirmation Use the PoC path to see if value is following price or lagging it: In a healthy uptrend, price, PoCs, and trend regime should all lean higher. In a weakening trend, price may still move up, but PoCs flatten or start drifting lower, suggesting fewer participants are accepting the new highs. In a downtrend, persistent downward PoC migration confirms that sellers are winning the value battle. 2) Identifying acceptance and rejection zones Combine the side profile with PoC locations: High volume bins near clustered PoCs mark strong acceptance zones, good areas to watch for re-tests and decision points. PoCs that quickly jump across low volume areas can indicate rejection and fast repricing between value zones. High volume zones with mixed PoC colors may signal balance or prolonged negotiation. 3) Structuring entries and exits Use the map to refine trade location: Fade trades against value migration are higher risk unless you see clear signs of exhaustion or regime change. Pullbacks into prior PoC zones in the direction of the current PoC slope can offer higher quality entries. Stops placed beyond major accepted zones (clusters of PoCs and high volume bins) are less likely to be hit by random noise. 4) Regime transitions Watch how PoCs behave as the EMA regime changes: A flip in EMA 12 versus EMA 21, coupled with a turn in PoC slope, is a strong signal that value is beginning to move with the new trend. If EMAs flip but PoC migration does not follow, the trend signal may be early or false. A weakening PoC path (lower highs in PoCs) while trend colors are still green can warn of a late-stage trend. Best practices Start with a moderate lookback such as 200 to 300 bars and a moderate bin count such as 20 to 40. Too many bins can make the profile overly granular and sparse. Align "Bars per Segment" with your trading horizon. For example, 5 to 10 bars for intraday, 10 to 20 bars for swing. Use the profile and PoC trail as structural context rather than as a direct buy or sell signal. Combine with your existing setups for timing. Pay attention to clusters of PoCs at similar prices. Those are areas where the market has repeatedly accepted value, and they often matter on future tests. Notes This is a structural volume tool, not a complete trading system. It does not manage execution, position sizing or risk management. Use it to understand: Where the bulk of trading has occurred in your chosen window. How the center of volume has migrated over time. Whether that migration is aligned with or fighting the current trend regime. By turning PoC evolution into a visible path and adding a trend-aware heatmap, the PoC Migration Map makes it easier to see how value has been moving, where the market is likely to feel "heavy" or "light", and how that structure fits into your trading decisions.
אינדיקטור Pine Script®
מאת ‎BackQuant‎
2
SP500 Session Gap Fade StrategySummary in one paragraph SPX Session Gap Fade is an intraday gap fade strategy for index futures, designed around regular cash sessions on five minute charts. It helps you participate only when there is a full overnight or pre session gap and a valid intraday session window, instead of trading every open. The original part is the gap distance engine which anchors both stop and optional target to the previous session reference close at a configurable flat time, so every trade’s risk scales with the actual gap size rather than a fixed tick stop. Scope and intent • Markets. Primarily index futures such as ES, NQ, YM, and liquid index CFDs that exhibit overnight gaps and regular cash hours. • Timeframes. Intraday timeframes from one minute to fifteen minutes. Default usage is five minute bars. • Default demo used in the publication. Symbol CME:ES1! on a five minute chart. • Purpose. Provide a simple, transparent way to trade opening gaps with a session anchored risk model and forced flat exit so you are not holding into the last part of the session. • Limits. This is a strategy. Orders are simulated on standard candles only. Originality and usefulness • Unique concept or fusion. The core novelty is the combination of a strict “full gap” entry condition with a session anchored reference close and a gap distance based TP and SL engine. The stop and optional target are symmetric multiples of the actual gap distance from the previous session’s flat close, rather than fixed ticks. • Failure mode it addresses. Fixed sized stops do not scale when gaps are unusually small or unusually large, which can either under risk or over risk the account. The session flat logic also reduces the chance of holding residual positions into late session liquidity and news. • Testability. All key pieces are explicit in the Inputs: session window, minutes before session end, whether to use gap exits, whether TP or SL are active, and whether to allow candle based closes and forced flat. You can toggle each component and see how it changes entries and exits. • Portable yardstick. The main unit is the absolute price gap between the entry bar open and the previous session reference close. tp_mult and sl_mult are multiples of that gap, which makes the risk model portable across contracts and volatility regimes. Method overview in plain language The strategy first defines a trading session using exchange time, for example 08:30 to 15:30 for ES day hours. It also defines a “flat” time a fixed number of minutes before session end. At the flat bar, any open position is closed and the bar’s close price is stored as the reference close for the next session. Inside the session, the strategy looks for a full gap bar relative to the prior bar: a gap down where today’s high is below yesterday’s low, or a gap up where today’s low is above yesterday’s high. A full gap down generates a long entry; a full gap up generates a short entry. If the gap risk engine is enabled and a valid reference close exists, the strategy measures the distance between the entry bar open and that reference close. It then sets a stop and optional target as configurable multiples of that gap distance and manages them with strategy.exit. Additional exits can be triggered by a candle color flip or by the forced flat time. Base measures • Range basis. The main unit is the absolute difference between the current entry bar open and the stored reference close from the previous session flat bar. That value is used as a “gap unit” and scaled by tp_mult and sl_mult to build the target and stop. Components • Component one: Gap Direction. Detects full gap up or full gap down by comparing the current high and low to the previous bar’s high and low. Gap down signals a long fade, gap up signals a short fade. There is no smoothing; it is a strict structural condition. • Component two: Session Window. Only allows entries when the current time is within the configured session window. It also defines a flat time before the session end where positions are forced flat and the reference close is updated. • Component three: Gap Distance Risk Engine. Computes the absolute distance between the entry open and the stored reference close. The stop and optional target are placed as entry ± gap_distance × multiplier so that risk scales with gap size. • Optional component: Candle Exit. If enabled, a bullish bar closes short positions and a bearish bar closes long positions, which can shorten holding time when price reverses quickly inside the session. • Session windows. Session logic uses the exchange time of the chart symbol. When changing symbols or venues, verify that the session time string still matches the new instrument’s cash hours. Fusion rule All gates are hard conditions rather than weighted scores. A trade can only open if the session window is active and the full gap condition is true. The gap distance engine only activates if a valid reference close exists and use_gap_risk is on. TP and SL are controlled by separate booleans so you can use SL only, TP only, or both. Long and short are symmetric by construction: long trades fade full gap downs, short trades fade full gap ups with mirrored TP and SL logic. Signal rule • Long entry. Inside the active session, when the current bar shows a full gap down relative to the previous bar (current high below prior low), the strategy opens a long position. If the gap risk engine is active, it places a gap based stop below the entry and an optional target above it. • Short entry. Inside the active session, when the current bar shows a full gap up relative to the previous bar (current low above prior high), the strategy opens a short position. If the gap risk engine is active, it places a gap based stop above the entry and an optional target below it. • Forced flat. At the configured flat time before session end, any open position is closed and the close price of that bar becomes the new reference close for the following session. • Candle based exit. If enabled, a bearish bar closes longs, and a bullish bar closes shorts, regardless of where TP or SL sit, as long as a position is open. What you will see on the chart • Markers on entry bars. Standard strategy entry markers labeled “long” and “short” on the gap bars where trades open. • Exit markers. Standard exit markers on bars where either the gap stop or target are hit, or where a candle exit or forced flat close occurs. Exit IDs “long_gap” and “short_gap” label gap based exits. • Reference levels. Horizontal lines for the current long TP, long SL, short TP, and short SL while a position is open and the gap engine is enabled. They update when a new trade opens and disappear when flat. • Session background. This version does not add background shading for the session; session logic runs internally based on time. • No on chart table. All decisions are visible through orders and exit levels. Use the Strategy Tester for performance metrics. Inputs with guidance Session Settings • Trading session (sess). Session window in exchange time. Typical value uses the regular cash session for each contract, for example “0830-1530” for ES. Adjust if your broker or symbol uses different hours. • Minutes before session end to force exit (flat_before_min). Minutes before the session end where positions are forced flat and the reference close is stored. Typical range is 15 to 120. Raising it closes trades earlier in the day; lowering it allows trades later in the session. Gap Risk • Enable gap based TP/SL (use_gap_risk). Master switch for the gap distance exit engine. Turning it off keeps entries and forced flat logic but removes automatic TP and SL placement. • Use TP limit from gap (use_gap_tp). Enables gap based profit targets. Typical values are true for structured exits or false if you want to manage exits manually and only keep a stop. • Use SL stop from gap (use_gap_sl). Enables gap based stop losses. This should normally remain true so that each trade has a defined initial risk in ticks. • TP multiplier of gap distance (tp_mult). Multiplier applied to the gap distance for the target. Typical range is 0.5 to 2.0. Raising it places the target further away and reduces hit frequency. • SL multiplier of gap distance (sl_mult). Multiplier applied to the gap distance for the stop. Typical range is 0.5 to 2.0. Raising it widens the stop and increases risk per trade; lowering it tightens the stop and may increase the number of small losses. Exit Controls • Exit with candle logic (use_candle_exit). If true, closes shorts on bullish candles and longs on bearish candles. Useful when you want to react to intraday reversal bars even if TP or SL have not been reached. • Force flat before session end (use_forced_flat). If true, guarantees you are flat by the configured flat time and updates the reference close. Turn this off only if you understand the impact on overnight risk. Filters There is no separate trend or volatility filter in this version. All trades depend on the presence of a full gap bar inside the session. If you need extra filtering such as ATR, volume, or higher timeframe bias, they should be added explicitly and documented in your own fork. Usage recipes Intraday conservative gap fade • Timeframe. Five minute chart on ES regular session. • Gap risk. use_gap_risk = true, use_gap_tp = true, use_gap_sl = true. • Multipliers. tp_mult around 0.7 to 1.0 and sl_mult around 1.0. • Exits. use_candle_exit = false, use_forced_flat = true. Focus on the structured TP and SL around the gap. Intraday aggressive gap fade • Timeframe. Five minute chart. • Gap risk. use_gap_risk = true, use_gap_tp = false, use_gap_sl = true. • Multipliers. sl_mult around 0.7 to 1.0. • Exits. use_candle_exit = true, use_forced_flat = true. Entries fade full gaps, stops are tight, and candle color flips flatten trades early. Higher timeframe gap tests • Timeframe. Fifteen minute or sixty minute charts on instruments with regular gaps. • Gap risk. Keep use_gap_risk = true. Consider slightly higher sl_mult if gaps are structurally wider on the higher timeframe. • Note. Expect fewer trades and be careful with sample size; multi year data is recommended. Properties visible in this publication • On average our risk for each position over the last 200 trades is 0.4% with a max intraday loss of 1.5% of the total equity in this case of 100k $ with 1 contract ES. For other assets, recalculations and customizations has to be applied. • Initial capital. 100 000. • Base currency. USD. • Default order size method. Fixed with size 1 contract. • Pyramiding. 0. • Commission. Flat 2 USD per order in the Strategy Tester Properties. (2$ buying + 2$selling) • Slippage. One tick in the Strategy Tester Properties. • Process orders on close. ON. Realism and responsible publication • No performance claims are made. Past results do not guarantee future outcomes. • Costs use a realistic flat commission and one tick of slippage per trade for ES class futures. • Default sizing with one contract on a 100 000 reference account targets modest per trade risk. In practice, extreme slippage or gap through events can exceed this, so treat the one and a half percent risk target as a design goal, not a guarantee. • All orders are simulated on standard candles. Shapes can move while a bar is forming and settle on bar close. Honest limitations and failure modes • Economic releases, thin liquidity, and limit conditions can break the assumptions behind the simple gap model and lead to slippage or skipped fills. • Symbols with very frequent or very large gaps may require adjusted multipliers or alternative risk handling, especially in high volatility regimes. • Very quiet periods without clean gaps will produce few or no trades. This is expected behavior, not a bug. • Session windows follow the exchange time of the chart. Always confirm that the configured session matches the symbol. • When both the stop and target lie inside the same bar’s range, the TradingView engine decides which is hit first based on its internal intrabar assumptions. Without bar magnifier, tie handling is approximate. Legal Education and research only. This strategy is not investment advice. You remain responsible for all trading decisions. Always test on historical data and in simulation with realistic costs before considering any live use.
אסטרטגיית Pine Script®
מאת ‎exlux‎
2
Sigma Trinity ModelAbstract Sigma Trinity Model is an educational framework that studies how three layers of market behavior interact within the same trend: (1) structural momentum (Rasta), (2) internal strength (RSI), and (3) continuation/compounding structure (Pyramid). The model deliberately combines bar-close momentum logic with intrabar, wick-aware strength checks to help users see how reversals form, confirm, and extend. It is not a signal service or automation tool; it is a transparent learning instrument for chart study and backtesting. Why this is not “just a mashup” Many scripts merge indicators without explaining the purpose. Sigma Trinity is a coordinated, three-engine study designed for a specific learning goal: Rasta (structure): defines when momentum actually flips using a dual-line EMA vs smoothed EMA. It gives the entry/exit framework on bar close for clean historical study. RSI (energy): measures internal strength with wick-aware triggers. It uses RSI of LOW (for bottom touches/reclaims) and RSI of HIGH (for top touches/exhaustion) so users can see intrabar strength/weakness that the close can hide. Pyramid (progression): demonstrates how continuation behaves once momentum and strength align. It shows the logic of adds (compounding) as a didactic layer, also on bar close to keep historical alignment consistent. These three roles are complementary, not redundant: structure → strength → progression. Architecture Overview Execution model Rasta & Pyramid: bar close only by default (historically stable, easy to audit). RSI: per tick (realtime) with bar-close backup by default, using RSI of LOW for entries and RSI of HIGH for exits. This makes the module sensitive to intra-bar wicks while still giving a close-based safety net for backtests. Stops (optional in strategy builds): wick-accurate: trail arms/ratchets on HIGH; stop hit checks with LOW (or Close if selected) with a small undershoot buffer to avoid micro-noise hits. Visual model Dual lines (EMA vs smoothed EMA) for Rasta + color fog to see direction and compression/expansion. Rungs (small vertical lines) drawn between the two Rasta lines to visualize wave spacing and rhythm. Clean labels for Entry/Exit/Pyramid Add/RSI events. Everything is state-locked to avoid spamming. Module 1 — Rasta (Structural Momentum Layer) Goal: Identify structural momentum reversals and maintain a consistent, replayable backbone for study. Method: Compute an EMA of a chosen price source (default Close), and a smoothed version (SMA/EMA/RMA/WMA/None selectable). Flip points occur when the EMA line crosses the smoothed line. Optional EMA 8/21 trend filter can gate entries (long-bias when EMA8 > EMA21). A small “adaptive on flip” option lets an entry fire when the filter itself flips to ON and the EMA is already above the smoothed line—useful for trend resumption. Why bar close only? Bar-close Rasta gives a stable, auditable timeline for the structure of the trend. It teaches users to separate “structure” (close-resolved) from “energy” (intrabar, via RSI). Visuals: Fog between the lines (green/red) to show regime. Rungs between lines to show spread (compression vs expansion). Optional plotting of EMA8/EMA21 so users can see the gating effect. Module 2 — RSI (Internal Strength / Energy Layer) Goal: Reveal the intrabar strength/weakness that often precedes or confirms structural flips. Method: Standard RSI with adjustable length and signal smoothing for the panel view. Logic uses wick-aware sources: Entry trigger: RSI of LOW (same RSI length) touching or below a lower band (default 15). Think of it as intraband reactivation from the bottom, using the candle’s deepest excursion. Exit trigger: RSI of HIGH touching or above an upper band (default 85). Think of it as exhaustion at the top, using the candle’s highest excursion. Realtime + Close Backup: fires intrabar on tick, but if the realtime event was missed, the close backup will note it at bar end. Cooldown control: optional bars-between-signals to avoid rapid re-triggers on choppy sequences. Why wick-aware RSI? A close-only RSI can miss the true micro-extremes that cause reversals. Using LOW/HIGH for triggers captures the behavior that traders actually react to during the bar, while the bar-close backup preserves historical reproducibility. Module 3 — Pyramid (Continuation / Compounding Layer) Goal: Teach how continuation behaves once a trend is underway, and how adds can be structured. Method: Same dual-line logic as Rasta (EMA vs smoothed EMA), but only fires when already in a position (or after prior entry conditions). Supports the same EMA 8/21 filter and optional adaptive-on-flip behavior. Bar close only to maintain historical cohesion. What it teaches: Adds tend to cluster when momentum persists. Students can experiment with add spacing and compare “one-shot entries” vs “laddered adds” during strong regimes. How the Pieces Work Together Rasta establishes the structural frame (when the wave flip is real enough to record at close). RSI validates or challenges that structure by tracking intrabar energy at the extremes (low/high touches). Pyramid shows what sustained continuation looks like once (1) and (2) align. This produces a layered view: Structure → Energy → Progression. Users can see when all three line up (strongest phases) and when they diverge (riskier phases or transitions). How to Use It (Step-by-Step) Quick Start Apply script to any symbol/timeframe. In Strategy/Indicator Properties: Enable On every tick (recommended). If available, enable Using bar magnifier and choose a lower resolution (e.g., 1m) to simulate intrabar fills more realistically. Keep On bar close unchecked if you want to observe realtime logic in live charts (strategies still place orders on close by platform design). Default behavior: Rasta & Pyramid = bar close; RSI = per tick with close backup. Reading the Chart Watch for Rasta Entry/Exit labels: they define clean structural turns on close. Watch RSI Entry (LOW touch at/below lower band) and RSI Exit (HIGH touch at/above upper band) to gauge internal energy extremes. Pyramid Add labels reveal continuation phases once a move is already in progress. Tuning Rasta smoothing: choose SMA/EMA/RMA/WMA or None. Higher smoothing → later but cleaner flips; lower smoothing → earlier but choppier. RSI bands: a common educational setting is 15/85 for strong extremes; 20/80 is a bit looser. Cooldown: increase if you see too many RSI re-fires in chop. EMA 8/21 filter: toggle ON to study “trend-gated” entries, OFF to study raw momentum flips. Backtesting Notes (for Strategy Builds) Stops (optional): trail is armed when price advances by a trigger (default D–F₀), ratchets only upward from HIGH, and hits from LOW (or Close if chosen) with a tiny undershoot buffer to avoid micro-wicks. Order sequencing per bar (mirrors the script’s code comments): Trail ratchet via HIGH Intrabar stop hit via LOW/CLOSE → immediate close If still in position at bar close: process exits (Rasta/RSI) If still in position at bar close: process Pyramid Add If flat at bar close: process entries (Rasta/RSI) Platform reality: strategies place orders at bar close in historical testing; the intrabar logic improves realism for stops and event marking but final order timestamps are still close-resolved. Inputs Reference (common) Modules: enable/disable RSI and Pyramid learning layers. Rasta: EMA length, smoothing type/length, EMA8/21 filter & adaptive flip, fog opacity, rungs on/off & limit. RSI: RSI length, signal MA length (panel), Entry band (LOW), Exit band (HIGH), cooldown bars, labels. Pyramid: EMA length, smoothing, EMA8/21 filter & adaptive adds. Execution: toggle Bar Close Only for Rasta/Pyramid; toggle Realtime + Close Backup for RSI. Stops (strategy): Fixed Stop % (first), Fixed Stop % (add), Trail Distance %, Trigger rule (auto D–F₀ or custom), undershoot buffer %, and hit source (LOW/CLOSE). What to Study With It Convergence: how often RSI-LOW entry touches precede the next Rasta flip. Divergence: cases where RSI screams exhaustion (HIGH >= upper band) but Rasta hasn’t flipped yet—often transition zones. Continuation: how Pyramid adds cluster in strong moves; how spacing changes with smoothing/filter choices. Regime changes: use EMA8/21 filter toggles to see what happens at macro turns vs chop. Limitations & Scope This is a learning tool, not a trade copier. It does not provide financial advice or automated execution. Intrabar results depend on data granularity; bar magnifier (when available) can help simulate lower-resolution ticks, but true tick-by-tick fills are a platform-level feature and not guaranteed across all symbols. Suggested Publication Settings (Strategy) Initial capital: 100 Order size: 100 USD (cash) Pyramiding: 10 Commission: 0.25% Slippage: 3 ticks Recalculate: ✓ On every tick Fill orders: ✓ Using bar magnifier (choose 1m or similar); leave On bar close unchecked for live viewing. Educational License Released under the Michael Culpepper Gratitude License (2025). Use and modify freely for education and research with attribution. No resale. No promises of profitability. Purpose is understanding, not signals.
אסטרטגיית Pine Script®
מאת ‎mikeyc747‎
1
LibWghtLibrary "LibWght" This is a library of mathematical and statistical functions designed for quantitative analysis in Pine Script. Its core principle is the integration of a custom weighting series (e.g., volume) into a wide array of standard technical analysis calculations. Key Capabilities: 1. **Universal Weighting:** All exported functions accept a `weight` parameter. This allows standard calculations (like moving averages, RSI, and standard deviation) to be influenced by an external data series, such as volume or tick count. 2. **Weighted Averages and Indicators:** Includes a comprehensive collection of weighted functions: - **Moving Averages:** `wSma`, `wEma`, `wWma`, `wRma` (Wilder's), `wHma` (Hull), and `wLSma` (Least Squares / Linear Regression). - **Oscillators & Ranges:** `wRsi`, `wAtr` (Average True Range), `wTr` (True Range), and `wR` (High-Low Range). 3. **Volatility Decomposition:** Provides functions to decompose total variance into distinct components for market analysis. - **Two-Way Decomposition (`wTotVar`):** Separates variance into **between-bar** (directional) and **within-bar** (noise) components. - **Three-Way Decomposition (`wLRTotVar`):** Decomposes variance relative to a linear regression into **Trend** (explained by the LR slope), **Residual** (mean-reversion around the LR line), and **Within-Bar** (noise) components. - **Local Volatility (`wLRLocTotStdDev`):** Measures the total "noise" (within-bar + residual) around the trend line. 4. **Weighted Statistics and Regression:** Provides a robust function for Weighted Linear Regression (`wLinReg`) and a full suite of related statistical measures: - **Between-Bar Stats:** `wBtwVar`, `wBtwStdDev`, `wBtwStdErr`. - **Residual Stats:** `wResVar`, `wResStdDev`, `wResStdErr`. 5. **Fallback Mechanism:** All functions are designed for reliability. If the total weight over the lookback period is zero (e.g., in a no-volume period), the algorithms automatically fall back to their unweighted, uniform-weight equivalents (e.g., `wSma` becomes a standard `ta.sma`), preventing errors and ensuring continuous calculation. --- **DISCLAIMER** This library is provided "AS IS" and for informational and educational purposes only. It does not constitute financial, investment, or trading advice. The author assumes no liability for any errors, inaccuracies, or omissions in the code. Using this library to build trading indicators or strategies is entirely at your own risk. As a developer using this library, you are solely responsible for the rigorous testing, validation, and performance of any scripts you create based on these functions. The author shall not be held liable for any financial losses incurred directly or indirectly from the use of this library or any scripts derived from it. wSma(source, weight, length)   Weighted Simple Moving Average (linear kernel).   Parameters:      source (float) : series float Data to average.      weight (float) : series float Weight series.      length (int) : series int Look-back length ≥ 1.   Returns: series float Linear-kernel weighted mean; falls back to the arithmetic mean if Σweight = 0. wEma(source, weight, length)   Weighted EMA (exponential kernel).   Parameters:      source (float) : series float Data to average.      weight (float) : series float Weight series.      length (simple int) : simple int Look-back length ≥ 1.   Returns: series float Exponential-kernel weighted mean; falls back to classic EMA if Σweight = 0. wWma(source, weight, length)   Weighted WMA (linear kernel).   Parameters:      source (float) : series float Data to average.      weight (float) : series float Weight series.      length (int) : series int Look-back length ≥ 1.   Returns: series float Linear-kernel weighted mean; falls back to classic WMA if Σweight = 0. wRma(source, weight, length)   Weighted RMA (Wilder kernel, α = 1/len).   Parameters:      source (float) : series float Data to average.      weight (float) : series float Weight series.      length (simple int) : simple int Look-back length ≥ 1.   Returns: series float Wilder-kernel weighted mean; falls back to classic RMA if Σweight = 0. wHma(source, weight, length)   Weighted HMA (linear kernel).   Parameters:      source (float) : series float Data to average.      weight (float) : series float Weight series.      length (int) : series int Look-back length ≥ 1.   Returns: series float Linear-kernel weighted mean; falls back to classic HMA if Σweight = 0. wRsi(source, weight, length)   Weighted Relative Strength Index.   Parameters:      source (float) : series float Price series.      weight (float) : series float Weight series.      length (simple int) : simple int Look-back length ≥ 1.   Returns: series float Weighted RSI; uniform if Σw = 0. wAtr(tr, weight, length)   Weighted ATR (Average True Range). Implemented as WRMA on *true range*.   Parameters:      tr (float) : series float True Range series.      weight (float) : series float Weight series.      length (simple int) : simple int Look-back length ≥ 1.   Returns: series float Weighted ATR; uniform weights if Σw = 0. wTr(tr, weight, length)   Weighted True Range over a window.   Parameters:      tr (float) : series float True Range series.      weight (float) : series float Weight series.      length (int) : series int Look-back length ≥ 1.   Returns: series float Weighted mean of TR; uniform if Σw = 0. wR(r, weight, length)   Weighted High-Low Range over a window.   Parameters:      r (float) : series float High-Low per bar.      weight (float) : series float Weight series.      length (int) : series int Look-back length ≥ 1.   Returns: series float Weighted mean of range; uniform if Σw = 0. wBtwVar(source, weight, length, biased)   Weighted Between Variance (biased/unbiased).   Parameters:      source (float) : series float Data series.      weight (float) : series float Weight series.      length (int) : series int Look-back length ≥ 2.      biased (bool) : series bool true → population (biased); false → sample.   Returns: variance series float The calculated between-bar variance (σ²btw), either biased or unbiased. sumW series float The sum of weights over the lookback period (Σw). sumW2 series float The sum of squared weights over the lookback period (Σw²). wBtwStdDev(source, weight, length, biased)   Weighted Between Standard Deviation.   Parameters:      source (float) : series float Data series.      weight (float) : series float Weight series.      length (int) : series int Look-back length ≥ 2.      biased (bool) : series bool true → population (biased); false → sample.   Returns: series float σbtw uniform if Σw = 0. wBtwStdErr(source, weight, length, biased)   Weighted Between Standard Error.   Parameters:      source (float) : series float Data series.      weight (float) : series float Weight series.      length (int) : series int Look-back length ≥ 2.      biased (bool) : series bool true → population (biased); false → sample.   Returns: series float √(σ²btw / N_eff) uniform if Σw = 0. wTotVar(mu, sigma, weight, length, biased)   Weighted Total Variance (= between-group + within-group). Useful when each bar represents an aggregate with its own mean* and pre-estimated σ (e.g., second-level ranges inside a 1-minute bar). Assumes the *weight* series applies to both the group means and their σ estimates.   Parameters:      mu (float) : series float Group means (e.g., HL2 of 1-second bars).      sigma (float) : series float Pre-estimated σ of each group (same basis).      weight (float) : series float Weight series (volume, ticks, …).      length (int) : series int Look-back length ≥ 2.      biased (bool) : series bool true → population (biased); false → sample.   Returns: varBtw series float The between-bar variance component (σ²btw). varWtn series float The within-bar variance component (σ²wtn). sumW series float The sum of weights over the lookback period (Σw). sumW2 series float The sum of squared weights over the lookback period (Σw²). wTotStdDev(mu, sigma, weight, length, biased)   Weighted Total Standard Deviation.   Parameters:      mu (float) : series float Group means (e.g., HL2 of 1-second bars).      sigma (float) : series float Pre-estimated σ of each group (same basis).      weight (float) : series float Weight series (volume, ticks, …).      length (int) : series int Look-back length ≥ 2.      biased (bool) : series bool true → population (biased); false → sample.   Returns: series float σtot. wTotStdErr(mu, sigma, weight, length, biased)   Weighted Total Standard Error. SE = √( total variance / N_eff ) with the same effective sample size logic as `wster()`.   Parameters:      mu (float) : series float Group means (e.g., HL2 of 1-second bars).      sigma (float) : series float Pre-estimated σ of each group (same basis).      weight (float) : series float Weight series (volume, ticks, …).      length (int) : series int Look-back length ≥ 2.      biased (bool) : series bool true → population (biased); false → sample.   Returns: series float √(σ²tot / N_eff). wLinReg(source, weight, length)   Weighted Linear Regression.   Parameters:      source (float) : series float Data series.      weight (float) : series float Weight series.      length (int) : series int Look-back length ≥ 2.   Returns: mid series float The estimated value of the regression line at the most recent bar. slope series float The slope of the regression line. intercept series float The intercept of the regression line. wResVar(source, weight, midLine, slope, length, biased)   Weighted Residual Variance. linear regression – optionally biased (population) or unbiased (sample).   Parameters:      source (float) : series float Data series.      weight (float) : series float Weighting series (volume, etc.).      midLine (float) : series float Regression value at the last bar.      slope (float) : series float Slope per bar.      length (int) : series int Look-back length ≥ 2.      biased (bool) : series bool true → population variance (σ²_P), denominator ≈ N_eff. false → sample variance (σ²_S), denominator ≈ N_eff - 2. (Adjusts for 2 degrees of freedom lost to the regression).   Returns: variance series float The calculated residual variance (σ²res), either biased or unbiased. sumW series float The sum of weights over the lookback period (Σw). sumW2 series float The sum of squared weights over the lookback period (Σw²). wResStdDev(source, weight, midLine, slope, length, biased)   Weighted Residual Standard Deviation.   Parameters:      source (float) : series float Data series.      weight (float) : series float Weight series.      midLine (float) : series float Regression value at the last bar.      slope (float) : series float Slope per bar.      length (int) : series int Look-back length ≥ 2.      biased (bool) : series bool true → population (biased); false → sample.   Returns: series float σres; uniform if Σw = 0. wResStdErr(source, weight, midLine, slope, length, biased)   Weighted Residual Standard Error.   Parameters:      source (float) : series float Data series.      weight (float) : series float Weight series.      midLine (float) : series float Regression value at the last bar.      slope (float) : series float Slope per bar.      length (int) : series int Look-back length ≥ 2.      biased (bool) : series bool true → population (biased); false → sample.   Returns: series float √(σ²res / N_eff); uniform if Σw = 0. wLRTotVar(mu, sigma, weight, midLine, slope, length, biased)   Weighted Linear-Regression Total Variance **around the window’s weighted mean μ**. σ²_tot = E_w ⟶ *within-group variance* + Var_w ⟶ *residual variance* + Var_w ⟶ *trend variance* where each bar i in the look-back window contributes m_i = *mean* (e.g. 1-sec HL2) σ_i = *sigma* (pre-estimated intrabar σ) w_i = *weight* (volume, ticks, …) ŷ_i = b₀ + b₁·x (value of the weighted LR line) r_i = m_i − ŷ_i (orthogonal residual)   Parameters:      mu (float) : series float Per-bar mean m_i.      sigma (float) : series float Pre-estimated σ_i of each bar.      weight (float) : series float Weight series w_i (≥ 0).      midLine (float) : series float Regression value at the latest bar (ŷₙ₋₁).      slope (float) : series float Slope b₁ of the regression line.      length (int) : series int Look-back length ≥ 2.      biased (bool) : series bool true → population; false → sample.   Returns: varRes series float The residual variance component (σ²res). varWtn series float The within-bar variance component (σ²wtn). varTrd series float The trend variance component (σ²trd), explained by the linear regression. sumW series float The sum of weights over the lookback period (Σw). sumW2 series float The sum of squared weights over the lookback period (Σw²). wLRTotStdDev(mu, sigma, weight, midLine, slope, length, biased)   Weighted Linear-Regression Total Standard Deviation.   Parameters:      mu (float) : series float Per-bar mean m_i.      sigma (float) : series float Pre-estimated σ_i of each bar.      weight (float) : series float Weight series w_i (≥ 0).      midLine (float) : series float Regression value at the latest bar (ŷₙ₋₁).      slope (float) : series float Slope b₁ of the regression line.      length (int) : series int Look-back length ≥ 2.      biased (bool) : series bool true → population; false → sample.   Returns: series float √(σ²tot). wLRTotStdErr(mu, sigma, weight, midLine, slope, length, biased)   Weighted Linear-Regression Total Standard Error. SE = √( σ²_tot / N_eff ) with N_eff = Σw² / Σw² (like in wster()).   Parameters:      mu (float) : series float Per-bar mean m_i.      sigma (float) : series float Pre-estimated σ_i of each bar.      weight (float) : series float Weight series w_i (≥ 0).      midLine (float) : series float Regression value at the latest bar (ŷₙ₋₁).      slope (float) : series float Slope b₁ of the regression line.      length (int) : series int Look-back length ≥ 2.      biased (bool) : series bool true → population; false → sample.   Returns: series float √((σ²res, σ²wtn, σ²trd) / N_eff). wLRLocTotStdDev(mu, sigma, weight, midLine, slope, length, biased)   Weighted Linear-Regression Local Total Standard Deviation. Measures the total "noise" (within-bar + residual) around the trend.   Parameters:      mu (float) : series float Per-bar mean m_i.      sigma (float) : series float Pre-estimated σ_i of each bar.      weight (float) : series float Weight series w_i (≥ 0).      midLine (float) : series float Regression value at the latest bar (ŷₙ₋₁).      slope (float) : series float Slope b₁ of the regression line.      length (int) : series int Look-back length ≥ 2.      biased (bool) : series bool true → population; false → sample.   Returns: series float √(σ²wtn + σ²res). wLRLocTotStdErr(mu, sigma, weight, midLine, slope, length, biased)   Weighted Linear-Regression Local Total Standard Error.   Parameters:      mu (float) : series float Per-bar mean m_i.      sigma (float) : series float Pre-estimated σ_i of each bar.      weight (float) : series float Weight series w_i (≥ 0).      midLine (float) : series float Regression value at the latest bar (ŷₙ₋₁).      slope (float) : series float Slope b₁ of the regression line.      length (int) : series int Look-back length ≥ 2.      biased (bool) : series bool true → population; false → sample.   Returns: series float √((σ²wtn + σ²res) / N_eff). wLSma(source, weight, length)   Weighted Least Square Moving Average.   Parameters:      source (float) : series float Data series.      weight (float) : series float Weight series.      length (int) : series int Look-back length ≥ 2.   Returns: series float Least square weighted mean. Falls back to unweighted regression if Σw = 0.
ספריית Pine Script®
מאת ‎AustrianTradingMachine‎
Extreme Pressure Zones Indicator (EPZ) [BullByte]Extreme Pressure Zones Indicator(EPZ) The Extreme Pressure Zones (EPZ) Indicator is a proprietary market analysis tool designed to highlight potential overbought and oversold "pressure zones" in any financial chart. It does this by combining several unique measurements of price action and volume into a single, bounded oscillator (0–100). Unlike simple momentum or volatility indicators, EPZ captures multiple facets of market pressure: price rejection, trend momentum, supply/demand imbalance, and institutional (smart money) flow. This is not a random mashup of generic indicators; each component was chosen and weighted to reveal extreme market conditions that often precede reversals or strong continuations. What it is? EPZ estimates buying/selling pressure and highlights potential extreme zones with a single, bounded 0–100 oscillator built from four normalized components. Context-aware weighting adapts to volatility, trendiness, and relative volume. Visual tools include adaptive thresholds, confirmed-on-close extremes, divergence, an MTF dashboard, and optional gradient candles. Purpose and originality (not a mashup) Purpose: Identify when pressure is building or reaching potential extremes while filtering noise across regimes and symbols. Originality: EPZ integrates price rejection, momentum cascade, pressure distribution, and smart money flow into one bounded scale with context-aware weighting. It is not a cosmetic mashup of public indicators. Why a trader might use EPZ EPZ provides a multi-dimensional gauge of market extremes that standalone indicators may miss. Traders might use it to: Spot Reversals: When EPZ enters an "Extreme High" zone (high red), it implies selling pressure might soon dominate. This can hint at a topside reversal or at least a pause in rallies. Conversely, "Extreme Low" (green) can highlight bottom-fish opportunities. The indicator's divergence module (optional) also finds hidden bullish/bearish divergences between price and EPZ, a clue that price momentum is weakening. Measure Momentum Shifts: Because EPZ blends momentum and volume, it reacts faster than many single metrics. A rising MPO indicates building bullish pressure, while a falling MPO shows increasing bearish pressure. Traders can use this like a refined RSI: above 50 means bullish bias, below 50 means bearish bias, but with context provided by the thresholds. Filter Trades: In trend-following systems, one could require EPZ to be in the bullish (green) zone before taking longs, or avoid new trades when EPZ is extreme. In mean-reversion systems, one might specifically look to fade extremes flagged by EPZ. Multi-Timeframe Confirmation: The dashboard can fetch a higher timeframe EPZ value. For example, you might trade a 15-minute chart only when the 60-minute EPZ agrees on pressure direction. Components and how they're combined Rejection (PRV) – Captures price rejection based on candle wicks and volume (see Price Rejection Volume). Momentum Cascade (MCD) – Blends multiple momentum periods (3,5,8,13) into a normalized momentum score. Pressure Distribution (PDI) – Measures net buy/sell pressure by comparing volume on up vs down candles. Smart Money Flow (SMF) – An adaptation of money flow index that emphasizes unusual volume spikes. Each of these components produces a 0–100 value (higher means more bullish pressure). They are then weighted and averaged into the final Market Pressure Oscillator (MPO), which is smoothed and scaled. By combining these four views, EPZ stands out as a comprehensive pressure gauge – the whole is greater than the sum of parts Context-aware weighting: Higher volatility → more PRV weight Trendiness up (RSI of ATR > 25) → more MCD weight Relative volume > 1.2x → more PDI weight SMF holds a stable weight The weighted average is smoothed and scaled into MPO ∈ with 50 as the neutral midline. What makes EPZ stand out Four orthogonal inputs (price action, momentum, pressure, flow) unified in a single bounded oscillator with consistent thresholds. Adaptive thresholds (optional) plus robust extreme detection that also triggers on crossovers, so static thresholds work reliably too. Confirm Extremes on Bar Close (default ON): dots/arrows/labels/alerts print on closed bars to avoid repaint confusion. Clean dashboard, divergence tools, pre-alerts, and optional on-price gradients. Visual 3D layering uses offsets for depth only,no lookahead. Recommended markets and timeframes Best: liquid symbols (index futures, large-cap equities, major FX, BTC/ETH). Timeframes: 5–15m (more signals; consider higher thresholds), 1H–4H (balanced), 1D (clear regimes). Use caution on illiquid or very low TFs where wick/volume geometry is erratic. Logic and thresholds MPO ∈ ; 50 = neutral. Above 50 = bullish pressure; below 50 = bearish. Static thresholds (defaults): thrHigh = 70, thrLow = 30; warning bands 5 pts inside extremes (65/35). Adaptive thresholds (optional): thrHigh = min(BaseHigh + 5, mean(MPO,100) + stdev(MPO,100) × ExtremeSensitivity) thrLow = max(BaseLow − 5, mean(MPO,100) − stdev(MPO,100) × ExtremeSensitivity) Extreme detection High: MPO ≥ thrHigh with peak/slope or crossover filter. Low: MPO ≤ thrLow with trough/slope or crossover filter. Cooldown: 5 bars (default). A new extreme will not print until the cooldown elapses, even if MPO re-enters the zone. Confirmation "Confirm Extremes on Bar Close" (default ON) gates extreme markers, pre-alerts, and alerts to closed bars (non-repainting). Divergences Pivot-based bullish/bearish divergence; tags appear only after left/right bars elapse (lookbackPivot). MTF HTF MPO retrieved with lookahead_off; values can update intrabar and finalize at HTF close. This is disclosed and expected. Inputs and defaults (key ones) Core: Sensitivity=1.0; Analysis Period=14; Smoothing=3; Adaptive Thresholds=OFF. Extremes: Base High=70, Base Low=30; Extreme Sensitivity=1.5; Confirm Extremes on Bar Close=ON; Cooldown=5; Dot size Small/Tiny. Visuals: Heatmap ON; 3D depth optional; Strength bars ON; Pre-alerts OFF; Divergences ON with tags ON; Gradient candles OFF; Glow ON. Dashboard: ON; Position=Top Right; Size=Normal; MTF ON; HTF=60m; compact overlay table on price chart. Advanced caps: Max Oscillator Labels=80; Max Extreme Guide Lines=80; Divergence objects=60. Dashboard: what each element means Header: EPZ ANALYSIS. Large readout: Current MPO; color reflects state (extreme, approaching, or neutral). Status badge: "Extreme High/Low", "Approaching High/Low", "Bullish/Neutral/Bearish". HTF cell (when MTF ON): Higher-timeframe MPO, color-coded vs extremes; updates intrabar, settles at HTF close. Predicted (when MTF OFF): Simple MPO extrapolation using momentum/acceleration—illustrative only. Thresholds: Current thrHigh/thrLow (static or adaptive). Components: ASCII bars + values for PRV, MCD, PDI, SMF. Market metrics: Volume Ratio (x) and ATR% of price. Strength: Bar indicator of |MPO − 50| × 2. Confidence: Heuristic gauge (100 in extremes, 70 in warnings, 50 with divergence, else |MPO − 50|). Convenience only, not probability. How to read the oscillator MPO Value (0–100): A reading of 50 is neutral. Values above ~55 are increasingly bullish (green), while below ~45 are increasingly bearish (red). Think of these as "market pressure". Extreme Zones: When MPO climbs into the bright orange/red area (above the base-high line, default 70), the chart will display a dot and downward arrow marking that extreme. Traders often treat this as a sign to tighten stops or look for shorts. Similarly, a bright green dot/up-arrow appears when MPO falls below the base-low (30), hinting at a bullish setup. Heatmap/Candles: If "Pressure Heatmap" is enabled, the background of the oscillator pane will fade green or red depending on MPO. Users can optionally color the price candles by MPO value (gradient candles) to see these extremes on the main chart. Prediction Zone(optional): A dashed projection line extends the MPO forward by a small number of bars (prediction_bars) using current MPO momentum and acceleration. This is a heuristic extrapolation best used for short horizons (1–5 bars) to anticipate whether MPO may touch a warning or extreme zone. It is provisional and becomes less reliable with longer projection lengths — always confirm predicted moves with bar-close MPO and HTF context before acting. Divergences: When price makes a higher high but EPZ makes a lower high (bearish divergence), the indicator can draw dotted lines and a "Bear Div" tag. The opposite (lower low price, higher EPZ) gives "Bull Div". These signals confirm waning momentum at extremes. Zones: Warning bands near extremes; Extreme zones beyond thresholds. Crossovers: MPO rising through 35 suggests easing downside pressure; falling through 65 suggests waning upside pressure. Dots/arrows: Extreme markers appear on closed bars when confirmation is ON and respect the 5-bar cooldown. Pre-alert dots (optional): Proximity cues in warning zones; also gated to bar close when confirmation is ON. Histogram: Distance from neutral (50); highlights strengthening or weakening pressure. Divergence tags: "Bear Div" = higher price high with lower MPO high; "Bull Div" = lower price low with higher MPO low. Pressure Heatmap : Layered gradient background that visually highlights pressure strength across the MPO scale; adjustable intensity and optional zone overlays (warning / extreme) for quick visual scanning. A typical reading: If the oscillator is rising from neutral towards the high zone (green→orange→red), the chart may see strong buying culminating in a stall. If it then turns down from the extreme, that peak EPZ dot signals sell pressure. Alerts EPZ: Extreme Context — fires on confirmed extremes (respects cooldown). EPZ: Approaching Threshold — fires in warning zones if no extreme. EPZ: Divergence — fires on confirmed pivot divergences. Tip: Set alerts to "Once per bar close" to align with confirmation and avoid intrabar repaint. Practical usage ideas Trend continuation: In positive regimes (MPO > 50 and rising), pullbacks holding above 50 often precede continuation; mirror for bearish regimes. Exhaustion caution: E High/E Low can mark exhaustion risk; many wait for MPO rollover or divergence to time fades or partial exits. Adaptive thresholds: Useful on assets with shifting volatility regimes to maintain meaningful "extreme" levels. MTF alignment: Prefer setups that agree with the HTF MPO to reduce countertrend noise. Examples Screenshots captured in TradingView Replay to freeze the bar at close so values don't fluctuate intrabar. These examples use default settings and are reproducible on the same bars; they are for illustration, not cherry-picking or performance claims. Example 1 — BTCUSDT, 1h — E Low MPO closed at 26.6 (below the 30 extreme), printing a confirmed E Low. HTF MPO is 26.6, so higher-timeframe pressure remains bearish. Components are subdued (Momentum/Pressure/Smart$ ≈ 29–37), with Vol Ratio ≈ 1.19x and ATR% ≈ 0.37%. A prior Bear Div flagged weakening impulse into the drop. With cooldown set to 5 bars, new extremes are rate-limited. Many traders wait for MPO to curl up and reclaim 35 or for a fresh Bull Div before considering countertrend ideas; if MPO cannot reclaim 35 and HTF stays weak, treat bounces cautiously. Educational illustration only. Example 2 — ETHUSD, 30m — E High A strong impulse pushed MPO into the extreme zone (≥ 70), printing a confirmed E High on close. Shortly after, MPO cooled to ~61.5 while a Bear Div appeared, showing momentum lag as price pushed a higher high. Volume and volatility were elevated (≈ 1.79x / 1.25%). With a 5-bar cooldown, additional extremes won't print immediately. Some treat E High as exhaustion risk—either waiting for MPO rollover under 65/50 to fade, or for a pullback that holds above 50 to re-join the trend if higher-timeframe pressure remains constructive. Educational illustration only. Known limitations and caveats The MPO line itself can change intrabar; extreme markers/alerts do not repaint when "Confirm Extremes on Bar Close" is ON. HTF values settle at the close of the HTF bar. Illiquid symbols or very low TFs can be noisy; consider higher thresholds or longer smoothing. Prediction line (when enabled) is a visual extrapolation only. For coders Pine v6. MTF via request.security with lookahead_off. Extremes include crossover triggers so static thresholds also yield E High/E Low. Extreme markers and pre-alerts are gated by barstate.isconfirmed when confirmation is ON. Arrays prune oldest objects to respect resource limits; defaults (80/80/60) are conservative for low TFs. 3D layering uses negative offsets purely for drawing depth (no lookahead). Screenshot methodology: To make labels legible and to demonstrate non-repainting behavior, the examples were captured in TradingView Replay with "Confirm Extremes on Bar Close" enabled. Replay is used only to freeze the bar at close so plots don't change intrabar. The examples use default settings, include both Extreme Low and Extreme High cases, and can be reproduced by scrolling to the same bars outside Replay. This is an educational illustration, not a performance claim. Disclaimer This script is for educational purposes only and does not constitute financial advice. Markets involve risk; past behavior does not guarantee future results. You are responsible for your own testing, risk management, and decisions.
אינדיקטור Pine Script®
מאת ‎BullByte‎
20
Trend Fib Zone Bounce (TFZB) [KedArc Quant]Description: Trend Fib Zone Bounce (TFZB) trades with the latest confirmed Supply/Demand zone using a single, configurable Fib pullback (0.3/0.5/0.6). Trade only in the direction of the most recent zone and use a single, configurable fib level for pullback entries. • Detects market structure via confirmed swing highs/lows using a rolling window. • Draws Supply/Demand zones (bearish/bullish rectangles) from the latest MSS (CHOCH or BOS) event. • Computes intra zone Fib guide rails and keeps them extended in real time. • Triggers BUY only inside bullish zones and SELL only inside bearish zones when price touches the selected fib and closes back beyond it (bounce confirmation). • Optional labels print BULL/BEAR + fib next to the triangle markers. What it does Finds structure using confirmed swing highs/lows (you choose the confirmation length). Builds the latest zone (bullish = demand, bearish = supply) after a CHOCH/BOS event. Draws intra-zone “guide rails” (Fib lines) and extends them live. Signals only with the trend of that zone: BUY inside a bullish zone when price tags the selected Fib and closes back above it. SELL inside a bearish zone when price tags the selected Fib and closes back below it. Optional labels print BULL/BEAR + Fib next to triangles for quick context Why this is different Most “zone + fib + signal” tools bolt together several indicators, or fire counter-trend signals because they don’t fully respect structure. TFZB is intentionally minimal: Single bias source: the latest confirmed zone defines direction; nothing else overrides it. Single entry rule: one Fib bounce (0.3/0.5/0.6 selectable) inside that zone—no counter-trend trades by design. Clean visuals: you can show only the most recent zone, clamp overlap, and keep just the rails that matter. Deterministic & transparent: every plot/label comes from the code you see—no external series or hidden smoothing How it helps traders Cuts decision noise: you always know the bias and the only entry that matters right now. Forces discipline: if price isn’t inside the active zone, you don’t trade. Adapts to volatility: pick 0.3 in strong trends, 0.5 as the default, 0.6 in chop. Non-repainting zones: swings are confirmed after Structure Length bars, then used to build zones that extend forward (they don’t “teleport” later) How it works (details) *Structure confirmation A swing high/low is only confirmed after Structure Length bars have elapsed; the dot is plotted back on the original bar using offset. Expect a confirmation delay of about Structure Length × timeframe. *Zone creation After a CHOCH/BOS (momentum shift / break of prior swing), TFZB draws the new Supply/Demand zone from the swing anchors and sets it active. *Fib guide rails Inside the active zone TFZB projects up to five Fib lines (defaults: 0.3 / 0.5 / 0.7) and extends them as time passes. *Entry logic (with-trend only) BUY: bar’s low ≤ fib and close > fib inside a bullish zone. SELL: bar’s high ≥ fib and close < fib inside a bearish zone. *Optionally restrict to one signal per zone to avoid over-trading. (Optional) Aggressive confirm-bar entry When do the swing dots print? * The code confirms a swing only after `structureLen` bars have elapsed since that candidate high/low. * On a 5-min chart with `structureLen = 10`, that’s about 50 minutes later. * When the swing confirms, the script plots the dot back on the original bar (via `offset = -structureLen`). So you *see* the dot on the old bar, but it only appears on the chart once the confirming bar arrives. > Practical takeaway: expect swing markers to appear roughly `structureLen × timeframe` later. Zones and signals are built from those confirmed swings. Best timeframe for this Indicator Use the timeframe that matches your holding period and the noise level of the instrument: * Intraday : * 5m or 15m are the sweet spots. * Suggested `structureLen`: * 5m: 10–14 (confirmation delay \~50–70 min) * 15m: 8–10 (confirmation delay \~2–2.5 hours) * Keep Entry Fib at 0.5 to start; try 0.3 in strong trends, 0.6 in chop. * Tip: avoid the first 10–15 minutes after the open; let the initial volatility set the early structure. * Swing/overnight: * 1h or 4h. * `structureLen`: * 1h: 6–10 (6–10 hours confirmation) * 4h: 5–8 (20–32 hours confirmation) * 1m scalping: not recommended here—the confirmation lag relative to the noise makes zones less reliable. Inputs (all groups) Structure • Show Swing Points (structureTog) o Plots small dots on the bar where a swing point is confirmed (offset back by Structure Length). • Structure Length (structureLen) o Lookback used to confirm swing highs/lows and determine local structure. Higher = fewer, stronger swings; lower = more reactive. Zones • Show Last (zoneDispNum) o Maximum number of zones kept on the chart when Display All Zones is off. • Display All Zones (dispAll) o If on, ignores Show Last and keeps all zones/levels. • Zone Display (zoneFilter): Bullish Only / Bearish Only / Both o Filters which zone types are drawn and eligible for signals. • Clean Up Level Overlap (noOverlap) o Prevents fib lines from overlapping when a new zone starts near the previous one (clamps line start/end times for readability). Fib Levels Each row controls whether a fib is drawn and how it looks: • Toggle (f1Tog…f5Tog): Show/hide a given fib line. • Level (f1Lvl…f5Lvl): Numeric ratio in . Defaults active: 0.3, 0.5, 0.7 (0 and 1 off by default). • Line Style (f1Style…f5Style): Solid / Dashed / Dotted. • Bull/Bear Colors (f#BullColor, f#BearColor): Per-fib color in bullish vs bearish zones. Style • Structure Color: Dot color for confirmed swing points. • Bullish Zone Color / Bearish Zone Color: Rectangle fills (transparent by default). Signals • Entry Fib for Signals (entryFibSel): Choose 0.3, 0.5 (default), or 0.6 as the trigger line. • Show Buy/Sell Signals (showSignals): Toggles triangle markers on/off. • One Signal Per Zone (oneSignalPerZone): If on, suppresses additional entries within the same zone after the first trigger. • Show Signal Text Labels (Bull/Bear + Fib) (showSignalLabels): Adds a small label next to each triangle showing zone bias and the fib used (e.g., BULL 0.5 or BEAR 0.3). How TFZB decides signals With trend only: • BUY 1. Latest active zone is bullish. 2. Current bar’s close is inside the zone (between top and bottom). 3. The bar’s low ≤ selected fib and it closes > selected fib (bounce). • SELL 1. Latest active zone is bearish. 2. Current bar’s close is inside the zone. 3. The bar’s high ≥ selected fib and it closes < selected fib. Markers & labels • BUY: triangle up below the bar; optional label “BULL 0.x” above it. • SELL: triangle down above the bar; optional label “BEAR 0.x” below it. Right-Panel Swing Log (Table) What it is A compact, auto-updating log of the most recent Swing High/Low events, printed in the top-right of the chart. It helps you see when a pivot formed, when it was confirmed, and at what price—so you know the earliest bar a zone-based signal could have appeared. Columns Type – Swing High or Swing Low. Date – Calendar date of the swing bar (follows the chart’s timezone). Swing @ – Time of the original swing bar (where the dot is drawn). Confirm @ – Time of the bar that confirmed that swing (≈ Structure Length × timeframe after the swing). This is also the earliest moment a new zone/entry can be considered. Price – The swing price (high for SH, low for SL). Why it’s useful Clarity on repaint/confirmation: shows the natural delay between a swing forming and being usable—no guessing. Planning & journaling: quick reference of today’s pivots and prices for notes/backtesting. Scanning intraday: glance to see if you already have a confirmed zone (and therefore valid fib-bounce entries), or if you’re still waiting. Context for signals: if a fib-bounce triangle appears before the time listed in Confirm @, it’s not a valid trade (you were too early). Settings (Inputs → Logging) Log swing times / Show table – turn the table on/off. Rows to keep – how many recent entries to display. Show labels on swing bar – optional tags on the chart (“Swing High 11:45”, “Confirm SH 14:15”) that match the table. Recommended defaults • Structure Length: 10–20 for intraday; 20–40 for swing. • Entry Fib for Signals: 0.5 to start; try 0.3 in stronger trends and 0.6 in choppier markets. • One Signal Per Zone: ON (prevents over trading). • Zone Display: Both. • Fib Lines: Keep 0.3/0.5/0.7 on; turn on 0 and 1 only if you need anchors. Alerts Two alert conditions are available: • BUY signal – fires when a with trend bullish bounce at the selected fib occurs inside a bullish zone. • SELL signal – fires when a with trend bearish bounce at the selected fib occurs inside a bearish zone. Create alerts from the chart’s Alerts panel and select the desired condition. Use Once Per Bar Close to avoid intrabar flicker. Notes & tips • Swing dots are confirmed only after Structure Length bars, so they plot back in time; zones built from these confirmed swings do not repaint (though they extend as new bars form). • If you don’t see a BUY where you expect one, check: (1) Is the active zone bullish? (2) Did the candle’s low actually pierce the selected fib and close above it? (3) Is One Signal Per Zone suppressing a second entry? • You can hide visual clutter by reducing Show Last to 1–3 while keeping Display All Zones off. Glossary • CHOCH (Change of Character): A shift where price breaks beyond the last opposite swing while local momentum flips. • BOS (Break of Structure): A cleaner break beyond the prior swing level in the current momentum direction. • MSS: Either CHOCH or BOS – any event that spawns a new zone. Extension ideas (optional) • Add fib extensions (1.272 / 1.618) for target lines. • Zone quality score using ATR normalization to filter weak impulses. • HTF filter to only accept zones aligned with a higher timeframe trend. ⚠️ Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
אינדיקטור Pine Script®
מאת ‎kedarcquant‎
4
Wickless Heikin Ashi B/S [CHE]Wickless Heikin Ashi B/S \ Purpose. Wickless Heikin Ashi B/S \ is built to surface only the cleanest momentum turns: it prints a Buy (B) when a bullish Heikin-Ashi candle forms with virtually no lower wick, and a Sell (S) when a bearish Heikin-Ashi candle forms with no upper wick. Optional Lock mode turns these into one-shot signals that hold the regime (bull or bear) until the opposite side appears. The tool can also project dashed horizontal lines from each signal’s price level to help you manage entries, stops, and partial take-profits visually. How it works. The indicator computes standard Heikin-Ashi values from your chart’s OHLC. A bar qualifies as bullish if its HA close is at or above its HA open; bearish if below. Then the wick on the relevant side is compared to the bar’s HA range. If that wick is smaller than your selected percentage threshold (plus a tiny tick epsilon to avoid rounding noise), the raw condition is considered “wickless.” Only one side can fire; on the rare occasion both raw conditions would overlap, the bar is ignored to prevent false dual triggers. When Lock is enabled, the first valid signal sets the active regime (background shaded light green for bull, light red for bear) and suppresses further same-side triggers until the opposite side appears, which helps reduce overtrading in chop. Why wickless? A missing wick on the “wrong” side of a Heikin-Ashi candle is a strong hint of persistent directional pressure. In practice, this filters out hesitation bars and many mid-bar flips. Traders who prefer entering only when momentum is decisive will find wickless bars useful for timing entries within an established bias. Visuals you get. When a valid buy appears, a small triangle “B” is plotted below the bar and a green dashed line can extend to the right from the signal’s HA open price. For sells, a triangle “S” above the bar and a red dashed line do the same. These lines act like immediate, price-anchored references for stop placement and profit scaling; you can shift the anchor left by a chosen number of bars if you prefer the line to start a little earlier for visual alignment. How to trade it Establish context first. Pick a timeframe that matches your style: intraday index or crypto traders often use 5–60 minutes; swing traders might prefer 2–4 hours or daily. The tool is agnostic, but the cleanest results occur when the market is already trending or attempting a fresh breakout. Entry. When a B prints, the simplest rule is to enter long at or just after bar close. A conservative variation is to require price to take out the high of the signal bar in the next bar(s). For S, invert the logic: enter short on or after close, or only if price breaks the signal bar’s low. Stop-loss. Place the stop beyond the opposite extreme of the signal HA bar (for B: under the HA low; for S: above the HA high). If you prefer a static reference, use the dashed line level (signal HA open) or an ATR buffer (e.g., 1.0–1.5× ATR(14)). The goal is to give the trade enough room that normal noise does not immediately knock you out, while staying small enough to keep the risk contained. Take-profit and management. Two pragmatic approaches work well: R-multiple scaling. Define your initial risk (distance from entry to stop). Scale out at 1R, 2R, and let a runner go toward 3R+ if structure holds. Trailing logic. Trail behind a short moving average (e.g., EMA 20) or progressive swing points. Many traders also exit on the opposite signal when Lock flips, especially on faster timeframes. Position sizing. Keep risk per trade modest and consistent (e.g., 0.25–1% of account). The indicator improves timing; it does not replace risk control. Settings guidance Max lower wick for Bull (%) / Max upper wick for Bear (%). These control how strict “wickless” must be. Tighter values (0.3–1.0%) yield fewer but cleaner signals and are great for strong trends or low-noise instruments. Looser values (1.5–3.0%) catch more setups in volatile markets but admit more noise. If you notice too many borderline bars triggering during high-volatility sessions, increase these thresholds slightly. Lock (one-shot until opposite). Keep Lock ON when you want one decisive signal per leg, reducing noise and signal clusters. Turn it OFF only if your plan intentionally scales into trends with multiple entries. Extended lines & anchor offset. Leave lines ON to maintain a visual memory of the last trigger levels. These often behave like near-term support/resistance. The offset simply lets you start that line one or more bars earlier if you prefer the look; it does not change the math. Colors. Use distinct bull/bear line colors you can read easily on your theme. The default lime/red scheme is chosen for clarity. Practical examples Momentum continuation (long). Price is above your baseline (e.g., EMA 200). A B prints with a tight lower wick filter. Enter on close; stop under the signal HA low. Price pushes up in the next bars; you scale at 1R, trail the rest with EMA 20, and finally exit when a distant S appears or your trail is hit. Breakout confirmation (short). Following a range, price breaks down and prints an S with no upper wick. Enter short as the bar closes or on a subsequent break of the signal bar’s low. If the next bar immediately rejects and prints a bullish HA bar, your stop above the signal HA high limits damage. Otherwise, ride the move, harvesting partials as the red dashed line remains unviolated. Alerts and automation Set alerts to “Once Per Bar Close” for stability. Bull ONE-SHOT fires when a valid buy prints (and Lock allows it). Bear ONE-SHOT fires for sells analogously. With Lock enabled, you avoid multiple pings in the same direction during a single leg—useful for webhooks or mobile notifications. Reliability and limitations The script calculates from completed bars and does not use higher-timeframe look-ahead or repainting tricks. Heikin-Ashi smoothing can lag turns slightly, which is expected and part of the design. In narrow ranges or whipsaw conditions, signals naturally thin out; if you must trade ranges, either tighten the wick filters and keep Lock ON, or add a trend/volatility filter (e.g., trade B only above EMA 200; S only below). Remember: this is an indicator, not a strategy. If you want exact statistics, port the triggers into a strategy and backtest with your chosen entry, stop, and exit rules. Final notes Wickless Heikin Ashi B/S \ is a precision timing tool: it waits for decisive, wickless HA bars, provides optional regime locking to reduce noise, and leaves clear price anchors on your chart for disciplined management. Use it with a simple framework—trend bias, fixed risk, and a straightforward exit plan—and it will keep your execution consistent without cluttering the screen or your decision-making. Disclaimer: This indicator is for educational use and trade assistance only. It is not financial advice. You alone are responsible for your risk and results. Enhance your trading precision and confidence with Wickless Heikin Ashi B/S ! 🚀 Happy trading Chervolino
אינדיקטור Pine Script®
מאת ‎chervolino‎
1
Structural Liquidity Signals [BullByte]Structural Liquidity Signals (SFP, FVG, BOS, AVWAP) Short description Detects liquidity sweeps (SFPs) at pivots and PD/W levels, highlights the latest FVG, tracks AVWAP stretch, arms percentile extremes, and triggers after confirmed micro BOS. Full description What this tool does Structural Liquidity Signals shows where price likely tapped liquidity (stop clusters), then waits for structure to actually change before it prints a trigger. It spots: Liquidity sweeps (SFPs) at recent pivots and at prior day/week highs/lows. The latest Fair Value Gap (FVG) that often “pulls” price or serves as a reaction zone. How far price is stretched from two VWAP anchors (one from the latest impulse, one from today’s session), scaled by ATR so it adapts to volatility. A “percentile” extreme of an internal score. At extremes the script “arms” a setup; it only triggers after a small break of structure (BOS) on a closed bar. Originality and design rationale, why it’s not “just a mashup” This is not a mashup for its own sake. It’s a purpose-built flow that links where liquidity is likely to rest with how structure actually changes: - Liquidity location: We focus on areas where stops commonly cluster—recent pivots and prior day/week highs/lows—then detect sweeps (SFPs) when price wicks beyond and closes back inside. - Displacement context: We track the last Fair Value Gap (FVG) to account for recent inefficiency that often acts as a magnet or reaction zone. - Stretch measurement: We anchor VWAP to the latest N-bar impulse and to the Daily session, then normalize stretch by ATR to assess dislocation consistently across assets/timeframes. - Composite exhaustion: We combine stretch, wick skew, and volume surprise, then bend the result with a tanh transform so extremes are bounded and comparable. - Dynamic extremes and discipline: Rather than triggering on every sweep, we “arm” at statistical extremes via percent-rank and only fire after a confirmed micro Break of Structure (BOS). This separates “interesting” from “actionable.” Key concepts SFP (liquidity sweep): A candle briefly trades beyond a level (where stops sit) and closes back inside. We detect these at: Pivots (recent swing highs/lows confirmed by “left/right” bars). Prior Day/Week High/Low (PDH/PDL/PWH/PWL). FVG (Fair Value Gap): A small 3‑bar gap (bar2 high vs bar1 low, or vice versa). The latest gap often acts like a magnet or reaction zone. We track the most recent Up/Down gap and whether price is inside it. AVWAP stretch: Distance from an Anchored VWAP divided by ATR (volatility). We use: Impulse AVWAP: resets on each new N‑bar high/low. Daily AVWAP: resets each new session. PR (Percentile Rank): Where the current internal score sits versus its own recent history (0..100). We arm shorts at high PR, longs at low PR. Micro BOS: A small break of the recent high (for longs) or low (for shorts). This is the “go/no‑go” confirmation. How the parts work together Find likely liquidity grabs (SFPs) at pivots and PD/W levels. Add context from the latest FVG and AVWAP stretch (how far price is from “fair”). Build a bounded score (so different markets/timeframes are comparable) and compute its percentile (PR). Arm at extremes (high PR → short candidate; low PR → long candidate). Only print a trigger after a micro BOS, on a closed bar, with spacing/cooldown rules. What you see on the chart (legend) Lines: Teal line = Impulse AVWAP (resets on new N‑bar extreme). Aqua line = Daily AVWAP (resets each session). PDH/PDL/PWH/PWL = prior day/week levels (toggle on/off). Zones: Greenish box = latest Up FVG; Reddish box = latest Down FVG. The shading/border changes after price trades back through it. SFP labels: SFP‑P = SFP at Pivot (dotted line marks that pivot’s price). SFP‑L = SFP at Level (at PDH/PDL/PWH/PWL). Throttle: To reduce clutter, SFPs are rate‑limited per direction. Triggers: Triangle up = long trigger after BOS; triangle down = short trigger after BOS. Optional badge shows direction and PR at the moment of trigger. Optional Trigger Zone is an ATR‑sized box around the trigger bar’s close (for visualization only). Background: Light green/red shading = a long/short setup is “armed” (not a trigger). Dashboard (Mini/Pro) — what each item means PR: Percentile of the internal score (0..100). Near 0 = bullish extreme, near 100 = bearish extreme. Gauge: Text bar that mirrors PR. State: Idle, Armed Long (with a countdown), or Armed Short. Cooldown: Bars remaining before a new setup can arm after a trigger. Bars Since / Last Px: How long since last trigger and its price. FVG: Whether price is in the latest Up/Down FVG. Imp/Day VWAP Dist, PD Dist(ATR): Distance from those references in ATR units. ATR% (Gate), Trend(HTF): Status of optional regime filters (volatility/trend). How to use it (step‑by‑step) Keep the Safety toggles ON (default): triggers/visuals on bar‑close, optional confirmed HTF for trend slope. Choose timeframe: Intraday (5m–1h) or Swing (1h–4h). On very fast/thin charts, enable Performance mode and raise spacing/cooldown. Watch the dashboard: When PR reaches an extreme and an SFP context is present, the background shades (armed). Wait for the trigger triangle: It prints only after a micro BOS on a closed bar and after spacing/cooldown checks. Use the Trigger Zone box as a visual reference only: This script never tells you to buy/sell. Apply your own plan for entry, stop, and sizing. Example: Bullish: Sweep under PDL (SFP‑L) and reclaim; PR in lower tail arms long; BOS up confirms → long trigger on bar close (ATR-sized trigger zone shown). Bearish: Sweep above PDH/pivot (SFP‑L/P) and reject; PR in upper tail arms short; BOS down confirms → short trigger on bar close (ATR-sized trigger zone shown). Settings guide (with “when to adjust”) Safety & Stability (defaults ON) Confirm triggers at bar close, Draw visuals at bar close: Keep ON for clean, stable prints. Use confirmed HTF values: Applies to HTF trend slope only; keeps it from changing until the HTF bar closes. Performance mode: Turn ON if your chart is busy or laggy. Core & Context ATR Length: Bigger = smoother distances; smaller = more reactive. Impulse AVWAP Anchor: Larger = fewer resets; smaller = resets more often. Show Daily AVWAP: ON if you want session context. Use last FVG in logic: ON to include FVG context in arming/score. Show PDH/PDL/PWH/PWL: ON to see prior day/week levels that often attract sweeps. Liquidity & Microstructure Pivot Left/Right: Higher values = stronger/rarer pivots. Min Wick Ratio (0..1): Higher = only more pronounced SFP wicks qualify. BOS length: Larger = stricter BOS; smaller = quicker confirmations. Signal persistence: Keeps SFP context alive for a few bars to avoid flicker. Signal Gating Percent‑Rank Lookback: Larger = more stable extremes; smaller = more reactive extremes. Arm thresholds (qHi/qLo): Move closer to 0.5 to see more arms; move toward 0/1 to see fewer arms. TTL, Cooldown, Min bars and Min ATR distance: Space out triggers so you’re not reacting to minor noise. Regime Filters (optional) ATR percentile gate: Only allow triggers when volatility is at/above a set percentile. HTF trend gate: Only allow longs when the HTF slope is up (and shorts when it’s down), above a minimum slope. Visuals & UX Only show “important” SFPs: Filters pivot SFPs by Volume Z and |Impulse stretch|. Trigger badges/history and Max badge count: Control label clutter. Compact labels: Toggle SFP‑P/L vs full names. Dashboard mode and position; Dark theme. Reading PR (the built‑in “oscillator”) PR ~ 0–10: Potential bullish extreme (long side can arm). PR ~ 90–100: Potential bearish extreme (short side can arm). Important: “Armed” ≠ “Enter.” A trigger still needs a micro BOS on a closed bar and spacing/cooldown to pass. Repainting, confirmations, and HTF notes By default, prints wait for the bar to close; this reduces repaint‑like effects. Pivot SFPs only appear after the pivot confirms (after the chosen “right” bars). PD/W levels come from the prior completed candles and do not change intraday. If you enable confirmed HTF values, the HTF slope will not change until its higher‑timeframe bar completes (safer but slightly delayed). Performance tips If labels/zones clutter or the chart lags: Turn ON Performance mode. Hide FVG or the Trigger Zone. Reduce badge history or turn badge history off. If price scaling looks compressed: Keep optional “score”/“PR” plots OFF (they overlay price and can affect scaling). Alerts (neutral) Structural Liquidity: LONG TRIGGER Structural Liquidity: SHORT TRIGGER These fire when a trigger condition is met on a confirmed bar (with defaults). Limitations and risk Not every sweep/extreme reverses; false triggers occur, especially on thin markets and low timeframes. This indicator does not provide entries, exits, or position sizing—use your own plan and risk control. Educational/informational only; no financial advice. License and credits © BullByte - MPL 2.0. Open‑source for learning and research. Built from repeated observations of how liquidity runs, imbalance (FVG), and distance from “fair” (AVWAPs) combine, and how a small BOS often marks the moment structure actually shifts.
אינדיקטור Pine Script®
מאת ‎BullByte‎
Infinite EMA with Alpha Control♾️ Infinite EMA with Alpha Control What Makes This EMA "Infinite"? Unlike traditional EMA indicators that are limited to typical periods (1-5000), this Infinite EMA breaks all boundaries. You can create EMAs with periods of 1,000, 10,000, or even 1,000,000 bars - that's why it's called "infinite"! Also Infinite EMA starts working immediately from the very first bar on your chart Why This EMA is "Infinite": 1. Mathematically: When N → ∞, alpha → 0, meaning infinitely long "memory" 2. Practically: You can set any period - even 100,000 bars 3. Flexibility: Alpha allows precise control over the "forgetting speed" How Does It Work? The magic lies in the Alpha parameter. While regular EMAs use fixed formulas, this indicator gives you direct control over the EMA's "memory" through Alpha values: • High Alpha (0.1-0.2): Fast reaction, short memory • Medium Alpha (0.01-0.05): Balanced response • Low Alpha (0.0001-0.001): Extremely slow reaction, very long memory • Ultra-low Alpha (0.000001): Almost frozen in time The Mathematical Formula: Alpha = 2 / (Period + 1) This means you can achieve any EMA period by adjusting Alpha, giving you infinite flexibility! Expanded "Infinite EMA" Table: Period EMA (N) - Alpha (Rounded) - Alpha (Exact) - Description 10 - 0.1818 - 0.181818... - Fast EMA 20 - 0.0952 - 0.095238... - Short-term 50 - 0.0392 - 0.039215... - Medium-term 100 - 0.0198 - 0.019801... - Long-term 200 - 0.0100 - 0.009950... - Standard long-term 500 - 0.0040 - 0.003996... - Very long-term 1,000 - 0.0020 - 0.001998... - Super long-term 2,000 - 0.0010 - 0.000999... - Ultra long-term 5,000 - 0.0004 - 0.000399... - Mega long-term 10,000 - 0.0002 - 0.000199... - Giga long-term 25,000 - 0.00008 - 0.000079... - Century-scale EMA 50,000 - 0.00004 - 0.000039... - Practically motionless 100,000 - 0.00002 - 0.000019... - "Glacial" EMA 500,000 - 0.000004 - 0.000003... - Geological timescale 1,000,000 - 0.000002 - 0.000001... - Approaching constant 5,000,000 - 0.0000004 - 0.0000003... - Virtually static 10,000,000 - 0.0000002 - 0.0000001... - Nearly flat line 100,000,000 - 0.00000002 - 0.00000001... - Mathematical infinity Formula: Alpha = 2/(N+1) where N is the EMA period Key Features: Dual EMA System: Run fast and slow EMAs simultaneously Crossover Signals: Automatic buy/sell signals with customizable alerts Alpha Control: Direct mathematical control over EMA behavior Infinite Periods: From 1 to 100,000,000+ bars Visual Customization: Colors, fills, backgrounds, signal sizes Instant Start: Works accurately from the very first bar Update Intervals: Control calculation frequency for noise reduction Why Choose Infinite EMA? 1. Unlimited Flexibility: Any period you can imagine 2. Mathematical Precision: Direct alpha control for exact behavior 3. Professional Grade: Suitable for all trading styles 4. Easy to Use: Simple settings with powerful results 5. No Warm-up Period: Accurate values from bar #1 Simple Explanation: Think of EMA as a "memory system": • High Alpha = Short memory (forgets quickly, reacts fast) • Low Alpha = Long memory (remembers everything, moves slowly) With Infinite EMA, you can set the "memory length" to anything from seconds to centuries! ⚡ Instant Start Feature - EMA from First Bar Immediate Calculation from Bar #1 Unlike traditional EMA indicators that require a "warm-up period" of N bars before showing accurate values, Infinite EMA starts working immediately from the very first bar on your chart. How It Works: Traditional EMA Problem: • Standard 200-period EMA: Needs 200+ bars to become accurate • First 200 bars: Shows incorrect/unstable values • Result: Large portions of historical data are unusable Infinite EMA Solution: Bar #1: EMA = Current Price (perfect starting point) Bar #2: EMA = Alpha × Price + (1-Alpha) × Previous EMA Bar #3: EMA = Alpha × Price + (1-Alpha) × Previous EMA ...and so on Key Benefits: No Warm-up Period: Start trading signals from day one Full Chart Coverage: Every bar has a valid EMA value Historical Accuracy: Backtesting works on entire dataset New Markets: Works perfectly on newly listed assets Short Datasets: Effective even with limited historical data Practical Impact: Scenario Traditional EMA Infinite EMA New cryptocurrency Unusable for first 200 days ✅ Works from day 1 Limited data (< 200 bars) Inaccurate values ✅ Fully functional Backtesting Must skip first 200 bars ✅ Test entire history Real-time trading Wait for stabilization ✅ Trade immediately Technical Implementation: if barstate.isfirst EMA := currentPrice // Perfect initialization else EMA := alpha × currentPrice + (1-alpha) × previousEMA This smart initialization ensures mathematical accuracy from the very first calculation, eliminating the traditional EMA "ramp-up" problem. Why This Matters: For Backesters: Use 100% of available data For Live Trading: Get signals immediately on any timeframe For Researchers: Analyze complete datasets without gaps Bottom Line: Infinite EMA is ready to work the moment you add it to your chart - no waiting, no warm-up, no exceptions! Unlike traditional EMAs that require a "warm-up period" of 200+ bars before showing accurate values, Infinite EMA starts working immediately from bar #1. This breakthrough eliminates the common problem where the first portion of your chart shows unreliable EMA data. Whether you're analyzing a newly listed cryptocurrency, working with limited historical data, or backtesting strategies, every single bar provides mathematically accurate EMA values. No more waiting periods, no more unusable data sections - just instant, reliable trend analysis from the moment you apply the indicator to any chart. 🔄 Update Interval Bars Feature The Update Interval feature allows you to control how frequently the EMA recalculates, providing flexible noise filtering without changing the core mathematics. Set to 1 for standard behavior (updates every bar), or increase to 5-10 for smoother signals that update less frequently. Higher intervals reduce market noise and false signals but introduce slightly more lag. This is particularly useful on volatile timeframes where you want the EMA's directional bias without every minor price fluctuation affecting the calculation. Perfect for swing traders who prefer cleaner, more stable trend lines over hyper-responsive indicators. Conclusion The Infinite EMA transforms the traditional EMA from a fixed-period tool into a precision instrument with unlimited flexibility. By understanding the Alpha-Period relationship, traders can create custom EMAs that perfectly match their trading style, timeframe, and market conditions. The "infinite" nature comes from the ability to set any period imaginable - from ultra-fast 2-bar EMAs to glacially slow 10-million-bar EMAs, all controlled through a single Alpha parameter. ________________________________________ Whether you're a beginner looking for simple trend following or a professional researcher analyzing century-long patterns, Infinite EMA adapts to your needs. The power of infinite periods is now in your hands! 🚀 Go forward to the horizon. When you reach it, a new one will open up. - J. P. Morgan
אינדיקטור Pine Script®
מאת ‎Sesilya‎
2
Dual Volume Profiles: Session + Rolling (Range Delineation)Dual Volume Profiles: Session + Rolling (Range Delineation) INTRO This is a probability-centric take on volume profile. I treat the volume histogram as an empirical PDF over price, updated in real time, which makes multi-modality (multiple acceptance basins) explicit rather than assumed away. The immediate benefit is operational: if we can read the shape of the distribution, we can infer likely reversion levels (POC), acceptance boundaries (VAH/VAL), and low-friction corridors (LVNs). My working hypothesis is that what traders often label “fat tails” or “power-law behavior” at short horizons is frequently a tail-conditioned view of a higher-level Gaussian regime. In other words, child distributions (shorter periodicities) sit within parent distributions (longer periodicities); when price operates in the parent’s tail, the child regime looks heavy-tailed without being fundamentally non-Gaussian. This is consistent with a hierarchical/mixture view and with the spirit of the central limit theorem—Gaussian structure emerges at aggregate scales, while local scales can look non-Gaussian due to nesting and conditioning. This indicator operationalizes that view by plotting two nested empirical PDFs: a rolling (local) profile and a session-anchored profile. Their confluence makes ranges explicit and turns “regime” into something you can see. For additional nesting, run multiple instances with different lookbacks. When using the default settings combined with a separate daily VP, you effectively get three nested distributions (local → session → daily) on the chart. This indicator plots two nested distributions side-by-side: Rolling (Local) Profile — short-window, prorated histogram that “breathes” with price and maps the immediate auction. Session Anchored Profile — cumulative distribution since the current session start (Premkt → RTH → AH anchoring), revealing the parent regime. Use their confluence to identify range floors/ceilings, mean-reversion magnets, and low-volume “air pockets” for fast traverses. What it shows POC (dashed): central tendency / “magnet” (highest-volume bin). VAH & VAL (solid): acceptance boundaries enclosing an exact Value Area % around each profile’s POC. Volume histograms: Rolling can auto-color by buy/sell dominance over the lookback (green = buying ≥ selling, red = selling > buying). Session uses a fixed style (blue by default). Session anchoring (exchange timezone): Premarket → anchors at 00:00 (midnight). RTH → anchors at 09:30. After-hours → anchors at 16:00. Session display span: Session Max Span (bars) = 0 → draw from session start → now (anchored). > 0 → draw a rolling window N bars back → now, while still measuring all volume since session start. Why it’s useful Think in terms of nested probability distributions: the rolling node is your local Gaussian; the session node is its parent. VA↔VA overlap ≈ strong range boundary. POC↔POC alignment ≈ reliable mean-reversion target. LVNs (gaps) ≈ low-friction corridors—expect quick moves to the next node. Quick start Add to chart (great on 5–10s, 15–60s, 1–5m). Start with: bins = 240, vaPct = 0.68, barsBack = 60. Watch for: First test & rejection at overlapping VALs/VAHs → fade back toward POC. Acceptance beyond VA (several closes + growing outer-bin mass) → traverse to the next node. Inputs (detailed) General Lookback Bars (Rolling) Count of most-recent bars for the rolling/local histogram. Larger = smoother node that shifts slower; smaller = more reactive, “breathing” profile. • Typical: 40–80 on 5–10s charts; 60–120 on 1–5m. • If you increase this but keep Number of Bins fixed, each bin aggregates more volume (coarser bins). Number of Bins Vertical resolution (price buckets) for both rolling and session histograms. Higher = finer detail and crisper LVNs, but more line objects (closer to platform limits). • Typical: 120–240 on 5–10s; 80–160 on 1–5m. • If you hit performance or object limits, reduce this first. Value Area % Exact central coverage for VAH/VAL around POC. Computed empirically from the histogram (no Gaussian assumption): the algorithm expands from POC outward until the chosen % is enclosed. • Common: 0.68 (≈“1σ-like”), 0.70 for slightly wider core. • Smaller = tighter VA (more breakout flags). Larger = wider VA (more reversion bias). Max Local Profile Width (px) Horizontal length (in pixels) of the rolling bars/lines and its VA/POC overlays. Visual only (does not affect calculations). Session Settings RTH Start/End (exchange tz) Defines the current session anchor (Premkt=00:00, RTH=your start, AH=your end). The session histogram always measures from the most recent session start and resets at each boundary. Session Max Span (bars, 0 = full session) Display window for session drawings (POC/VA/Histogram). • 0 → draw from session start → now (anchored). • > 0 → draw N bars back → now (rolling look), while still measuring all volume since session start. This keeps the “parent” distribution measurable while letting the display track current action. Local (Rolling) — Visibility Show Local Profile Bars / POC / VAH & VAL Toggle each overlay independently. If you approach object limits, disable bars first (POC/VA lines are lighter). Local (Rolling) — Colors & Widths Color by Buy/Sell Dominance Fast uptick/downtick proxy over the rolling window (close vs open): • Buying ≥ Selling → Bullish Color (default lime). • Selling > Buying → Bearish Color (default red). This color drives local bars, local POC, and local VA lines. • Disable to use fixed Bars Color / POC Color / VA Lines Color. Bars Transparency (0–100) — alpha for the local histogram (higher = lighter). Bars Line Width (thickness) — draw thin-line profiles or chunky blocks. POC Line Width / VA Lines Width — overlay thickness. POC is dashed, VAH/VAL solid by design. Session — Visibility Show Session Profile Bars / POC / VAH & VAL Independent toggles for the session layer. Session — Colors & Widths Bars/POC/VA Colors & Line Widths Fixed palette by design (default blue). These do not change with buy/sell dominance. • Use transparency and width to make the parent profile prominent or subtle. • Prefer minimal? Hide session bars; keep only session VA/POC. Reading the signals (detailed playbook) Core definitions POC — highest-volume bin (fair price “magnet”). VAH/VAL — upper/lower bounds enclosing your Value Area % around POC. Node — contiguous block of high-volume bins (acceptance). LVN — low-volume gap between nodes (low friction path). Rejection vs Acceptance (practical rule) Rejection at VA edge: 0–1 closes beyond VA and no persistent growth in outer bins. Acceptance beyond VA: ≥3 closes beyond VA and outer-bin mass grows (e.g., added volume beyond the VA edge ≥ 5–10% of node volume over the last N bars). Treat acceptance as regime change. Confluence scores (make boundary/target quality objective) VA overlap strength (range boundary): C_VA = 1 − |VA_edge_local − VA_edge_session| / ATR(n) Values near 1.0 = tight overlap (stronger boundary). Use: if C_VA ≥ 0.6–0.8, treat as high-quality fade zone. POC alignment (magnet quality): C_POC = 1 − |POC_local − POC_session| / ATR(n) Higher C_POC = greater chance a rotation completes to that fair price. (You can estimate these by eye.) Setups 1) Range Fade at VA Confluence (mean reversion) Context: Local VAL/VAH near Session VAL/VAH (tight overlap), clear node, local color not screaming trend (or flips to your side). Entry: First test & rejection at the overlapped band (wick through ok; prefer close back inside). Stop: A tick/pip beyond the wider of the two VA edges or beyond the nearest LVN, a small buffer zone can be used to judge whether price is truly rejecting a VAL/VAH or simply probing. Targets: T1 node mid; T2 POC (size up when C_POC is high). Flip: If acceptance (rule above) prints, flip bias or stand down. 2) LVN Traverse (continuation) Context: Price exits VA and enters an LVN with acceptance and growing outer-bin volume. Entry: Aggressive—first close into LVN; Conservative—retest of the VA edge from the far side (“kiss goodbye”). Stop: Back inside the prior VA. Targets: Next node’s VA edge or POC (edge = faster exits; POC = fuller rotations). Note: Flatter VA edge (shallower curvature) tends to breach more easily. 3) POC→POC Magnet Trade (rotation completion) Context: Local POC ≈ Session POC (high C_POC). Entry: Fade a VA touch or pullback inside node, aiming toward the shared POC. Stop: Past the opposite VA edge or LVN beyond. Target: The shared POC; optional runner to opposite VA if the node is broad and time-of-day is supportive. 4) Failed Break (Reversion Snap-back) Context: Push beyond VA fails acceptance (re-enters VA, outer-bin growth stalls/shrinks). Entry: On the re-entry close, back toward POC. Stop/Target: Stop just beyond the failed VA; target POC, then opposite VA if momentum persists. How to read color & shape Local color = most recent sentiment: Green = buying ≥ selling; Red = selling > buying (over the rolling window). Treat as context, not a standalone signal. A green local node under a blue session VAH can still be a fade if the parent says “over-valued.” Shape tells friction: Fat nodes → rotation-friendly (fade edges). Sharp LVN gaps → traversal-friendly (momentum continuation). Time-of-day intuition Right after session anchor (e.g., RTH 09:30): Session profile is young and moves quickly—treat confluence cautiously. Mid-session: Cleanest behavior for rotations. Close / news: Expect more traverses and POC migrations; tighten risk or switch playbooks. Risk & execution guidance Use tight, mechanical stops at/just beyond VA or LVN. If you need wide stops to survive noise, your entry is late or the node is unstable. On micro-timeframes, account for fees & slippage—aim for targets paying ≥2–3× average cost. If acceptance prints, don’t fight it—flip, reduce size, or stand aside. Suggested presets Scalp (5–10s): bins 120–240, barsBack 40–80, vaPct 0.68–0.70, local bars thin (small bar width). Intraday (1–5m): bins 80–160, barsBack 60–120, vaPct 0.68–0.75, session bars more visible for parent context. Performance & limits Reuses line objects to stay under TradingView’s max_lines_count. Very large bins × multiple overlays can still hit limits—use visibility toggles (hide bars first). Session drawings use time-based coordinates to avoid “bar index too far” errors. Known nuances Rolling buy/sell dominance uses a simple uptick/downtick proxy (close vs open). It’s fast and practical, but it’s not a full tape classifier. VA boundaries are computed from the empirical histogram—no Gaussian assumption. This script does not calculate the full daily volume profile. Several other tools already provide that, including TradingView’s built-in Volume Profile indicators. Instead, this indicator focuses on pairing a rolling, short-term volume distribution with a session-wide distribution to make ranges more explicit. It is designed to supplement your use of standard or periodic volume profiles, not replace them. Think of it as a magnifying lens that helps you see where local structure aligns with the broader session. How to trade it (TL;DR) Fade overlapping VA bands on first rejection → target POC. Continue through LVN on acceptance beyond VA → target next node’s VA/POC. Respect acceptance: ≥3 closes beyond VA + growing outer-bin volume = regime change. FAQ Q: Why 68% Value Area? A: It mirrors the “~1σ” idea, but we compute it exactly from empirical volume, not by assuming a normal distribution. Q: Why are my profiles thin lines? A: Increase Bars Line Width for chunkier blocks; reduce for fine, thin-line profiles. Q: Session bars don’t reach session start—why? A: Set Session Max Span (bars) = 0 for full anchoring; any positive value draws a rolling window while still measuring from session start. Changelog (v1.0) Dual profiles: Rolling + Session with independent POC/VA lines. Session anchoring (Premkt/RTH/AH) with optional rolling display span. Dynamic coloring for the rolling profile (buying vs selling). Fully modular toggles + per-feature colors/widths. Thin-line rendering via bar line width.
אינדיקטור Pine Script®
מאת ‎garysebastianbrowniii‎
Dip Hunter [BackQuant]Dip Hunter What this tool does in plain language Dip Hunter is a pullback detector designed to find high quality buy-the-dip opportunities inside healthy trends and to avoid random knife catches. It watches for a quick drop from a recent high, checks that the drop happened with meaningful participation and volatility, verifies short-term weakness inside a larger uptrend, then scores the setup and paints the chart so you can act with confidence. It also draws clean entry lines, provides a meter that shows dip strength at a glance, and ships with alerts that match common execution workflows. How Dip Hunter thinks It defines a recent swing reference, measures how far price has dipped off that high, and only looks at candidates that meet your minimum percentage drop. It confirms the dip with real activity by requiring a volume spike and a volatility spike. It checks structure with two EMAs. Price should be weak in the short term while the larger context remains constructive. It optionally requires a higher-timeframe trend to be up so you focus on pullbacks in trending markets. It bundles those checks into a score and shows you the score on the candles and on a gradient meter. When everything lines up it paints a green triangle below the bar, shades the background, and (if you wish) draws a horizontal entry line at your chosen level. Inputs and what they mean Dip Hunter Settings • Vol Lookback and Vol Spike : The script computes an average volume over the lookback window and flags a spike when current volume is a multiple of that average. A multiplier of 2.0 means today’s volume must be at least double the average. This helps filter noise and focuses on dips that other traders actually traded. • Fast EMA and Slow EMA : Short-term and medium-term structure references. A dip is more credible if price closes below the fast EMA while the fast EMA is still below the slow EMA during the pullback. That is classic corrective behavior inside a larger trend. • Price Smooth : Optional smoothing length for price-derived series. Use this if you trade very noisy assets or low timeframes. • Volatility Len and Vol Spike (volatility) : The script checks both standard deviation and true range against their own averages. If either expands beyond your multiplier the market confirms the move with range. • Dip % and Lookback Bars : The engine finds the highest high over the lookback window, then computes the percentage drawdown from that high to the current close. Only dips larger than your threshold qualify. Trend Filter • Enable Trend Filter : When on, Dip Hunter will only trigger if the market is in an uptrend. • Trend EMA Period : The longer EMA that defines the session’s backbone trend. • Minimum Trend Strength : A small positive slope requirement. In practice this means the trend EMA should be rising, and price should be above it. You can raise the value to be more selective. Entries • Show Entry Lines : Draws a horizontal guide from the signal bar for a fixed number of bars. Great for limit orders, scaling, or re-tests. • Line Length (bars) : How far the entry guide extends. • Min Gap (bars) : Suppresses new entry lines if another dip fired recently. Prevents clutter during choppy sequences. • Entry Price : Choose the line level. “Low” anchors at the signal candle’s low. “Close” anchors at the signal close. “Dip % Level” anchors at the theoretical level defined by recent_high × (1 − dip%). This lets you work resting orders at a consistent discount. Heat / Meter • Color Bars by Score : Colors each candle using a red→white→green gradient. Red is overheated, green is prime dip territory, white is neutral. • Show Meter Table : Adds a compact gradient strip with a pointer that tracks the current score. • Meter Cells and Meter Position : Resolution and placement of the meter. UI Settings • Show Dip Signals : Plots green triangles under qualifying bars and tints the background very lightly. • Show EMAs : Plots fast, slow, and the trend EMA (if the trend filter is enabled). • Bullish, Bearish, Neutral colors : Theme controls for shapes, fills, and bar painting. Core calculations explained simply Recent high and dip percent The script finds the highest high over Lookback Bars , calls it “recent high,” then calculates: dip% = (recent_high − close) ÷ recent_high × 100. If dip% is larger than Dip % , condition one passes. Volume confirmation It computes a simple moving average of volume over Vol Lookback . If current volume ÷ average volume > Vol Spike , we have a participation spike. It also checks 5-bar ROC of volume. If ROC > 50 the spike is forceful. This gets an extra score point. Volatility confirmation Two independent checks: • Standard deviation of closes vs its own average. • True range vs ATR. If either expands beyond Vol Spike (volatility) the move has range. This prevents false triggers from quiet drifts. Short-term structure Price should close below the Fast EMA and the fast EMA should be below the Slow EMA at the moment of the dip. That is the anatomy of a pullback rather than a full breakdown. Macro trend context (optional) When Enable Trend Filter is on, the Trend EMA must be rising and price must be above it. The logic prefers “micro weakness inside macro strength” which is the highest probability pattern for buying dips. Signal formation A valid dip requires: • dip% > threshold • volume spike true • volatility spike true • close below fast EMA • fast EMA below slow EMA If the trend filter is enabled, a rising trend EMA with price above it is also required. When all true, the triangle prints, the background tints, and optional entry lines are drawn. Scoring and visuals Binary checks into a continuous score Each component contributes to a score between 0 and 1. The script then rescales to a centered range (−50 to +50). • Low or negative scores imply “overheated” conditions and are shaded toward red. • High positive scores imply “ripe for a dip buy” conditions and are shaded toward green. • The gradient meter repeats the same logic, with a pointer so you can read the state quickly. Bar coloring If you enable “Color Bars by Score,” each candle inherits the gradient. This makes sequences obvious. Red clusters warn you not to buy. White means neutral. Increasing green suggests the pullback is maturing. EMAs and the trend EMA • Fast EMA turns down relative to the slow EMA inside the pullback. • Trend EMA stays rising and above price once the dip exhausts, which is your cue to focus on long setups rather than bottom fishing in downtrends. Entry lines When a fresh signal fires and no other signal happened within Min Gap (bars) , the indicator draws a horizontal level for Line Length bars. Use these lines for limit entries at the low, at the close, or at the defined dip-percent level. This keeps your plan consistent across instruments. Alerts and what they mean • Market Overheated : Score is deeply negative. Do not chase. Wait for green. • Close To A Dip : Score has reached a healthy level but the full signal did not trigger yet. Prepare orders. • Dip Confirmed : First bar of a fresh validated dip. This is the most direct entry alert. • Dip Active : The dip condition remains valid. You can scale in on re-tests. • Dip Fading : Score crosses below 0.5 from above. Momentum of the setup is fading. Tighten stops or take partials. • Trend Blocked Signal : All dip conditions passed but the trend filter is offside. Either reduce risk or skip, depending on your plan. How to trade with Dip Hunter Classic pullback in uptrend Turn on the trend filter. Watch for a Dip Confirmed alert with green triangle. Use the entry line at “Dip % Level” to stage a limit order. This keeps your entries consistent across assets and timeframes. Initial stop under the signal bar’s low or under the next lower EMA band. First target at prior swing high, second target at a multiple of risk. If you use partials, trail the remainder under the fast EMA once price reclaims it. Aggressive intraday scalps Lower Dip % and Lookback Bars so you catch shallow flags. Keep Vol Spike meaningful so you only trade when participation appears. Take quick partials when price reclaims the fast EMA, then exit on Dip Fading if momentum stalls. Counter-trend probes Disable the trend filter if you intentionally hunt reflex bounces in downtrends. Require strong volume and volatility confirmation. Use smaller size and faster targets. The meter should move quickly from red toward white and then green. If it does not, step aside. Risk management templates Stops • Conservative: below the entry line minus a small buffer or below the signal bar’s low. • Structural: below the slow EMA if you aim for swing continuation. • Time stop: if price does not reclaim the fast EMA within N bars, exit. Position sizing Use the distance between the entry line and your structural stop to size consistently. The script’s entry lines make this distance obvious. Scaling • Scale at the entry line first touch. • Add only if the meter stays green and price reclaims the fast EMA. • Stop adding on a Dip Fading alert. Tuning guide by market and timeframe Equities daily • Dip %: 1.5 to 3.0 • Lookback Bars: 5 to 10 • Vol Spike: 1.5 to 2.5 • Volatility Len: 14 to 20 • Trend EMA: 100 or 200 • Keep trend filter on for a cleaner list. Futures and FX intraday • Dip %: 0.4 to 1.2 • Lookback Bars: 3 to 7 • Vol Spike: 1.8 to 3.0 • Volatility Len: 10 to 14 • Use Min Gap to avoid clusters during news. Crypto • Dip %: 3.0 to 6.0 for majors on higher timeframes, lower on 15m to 1h • Lookback Bars: 5 to 12 • Vol Spike: 1.8 to 3.0 • ATR and stdev checks help in erratic sessions. Reading the chart at a glance • Green triangle below the bar: a validated dip. • Light green background: the current bar meets the full condition. • Bar gradient: red is overheated, white is neutral, green is dip-friendly. • EMAs: fast below slow during the pullback, then reclaim fast EMA on the bounce for quality continuation. • Trend EMA: a rising spine when the filter is on. • Entry line: a fixed level to anchor orders and risk. • Meter pointer: right side toward “Dip” means conditions are maturing. Why this combination reduces false positives Any single criterion will trigger too often. Dip Hunter demands a dip off a recent high plus a volume surge plus a volatility expansion plus corrective EMA structure. Optional trend alignment pushes odds further in your favor. The score and meter visualize how many of these boxes you are actually ticking, which is more reliable than a binary dot. Limitations and practical tips • Thin or illiquid symbols can spoof volume spikes. Use larger Vol Lookback or raise Vol Spike . • Sideways markets will show frequent small dips. Increase Dip % or keep the trend filter on. • News candles can blow through entry lines. Widen stops or skip around known events. • If you see many back-to-back triangles, raise Min Gap to keep only the best setups. Quick setup recipes • Clean swing trader: Trend filter on, Dip % 2.0 to 3.0, Vol Spike 2.0, Volatility Len 14, Fast 20 EMA, Slow 50 EMA, Trend 100 EMA. • Fast intraday scalper: Trend filter off, Dip % 0.7 to 1.0, Vol Spike 2.5, Volatility Len 10, Fast 9 EMA, Slow 21 EMA, Min Gap 10 bars. • Crypto swing: Trend filter on, Dip % 4.0, Vol Spike 2.0, Volatility Len 14, Fast 20 EMA, Slow 50 EMA, Trend 200 EMA. Summary Dip Hunter is a focused pullback engine. It quantifies a real dip off a recent high, validates it with volume and volatility expansion, enforces corrective structure with EMAs, and optionally restricts signals to an uptrend. The score, bar gradient, and meter make reading conditions instant. Entry lines and alerts turn that read into an executable plan. Tune the thresholds to your market and timeframe, then let the tool keep you patient in red, selective in white, and decisive in green.
אינדיקטור Pine Script®
מאת ‎BackQuant‎
4
Up/Down Volume with Table (High Contrast)Up/Down Volume with Table (High Contrast) — Script Summary & User Guide Purpose of the Script This TradingView indicator, Up/Down Volume with Table (High Contrast), visually separates and quantifies up-volume and down-volume for each bar, providing both a color-coded histogram and a dynamic table summarizing the last five bars. The indicator helps traders quickly assess buying and selling pressure, recent volume shifts, and their relationship to price changes, all in a highly readable format. Key Features Up/Down Volume Columns: Green columns represent volume on bars where price closed higher than the previous bar (up volume). Red columns represent volume on bars where price closed lower than the previous bar (down volume). Delta Line: Plots the net difference between up and down volume for each bar. Green when up-volume exceeds down-volume; red when down-volume dominates. Interactive Table: Displays the last five bars, showing up-volume, down-volume, delta, and close price. Color-coding for quick interpretation. Table position, decimal places, and timeframe are all user-configurable. Custom Timeframe Support: Calculate all values on the chart’s timeframe or a custom timeframe of your choice (e.g., daily, hourly). High-Contrast Design: Table and plot colors are chosen for maximum clarity and accessibility. User Inputs & Configuration Use custom timeframe: Toggle between the chart’s timeframe and a user-specified timeframe. Custom timeframe: Set the timeframe for calculations if custom mode is enabled (e.g., "D" for daily, "60" for 60 minutes). Decimal Places: Choose how many decimal places to display in the table. Table Location: Select where the table appears on your chart (e.g., Bottom Right, Top Left, etc.). How to Use Add the Script to Your Chart: Copy and paste the code into a new Pine Script indicator on TradingView. Add the indicator to your chart. Configure Inputs: Open the indicator settings. Adjust the timeframe, decimal places, and table location as desired. Read the Table: The table appears on your chart (location is user-selectable) and displays the following for the last five bars: Bar: "Now" for the current bar, then "Bar -1", "Bar -2", etc. for previous bars. Up Vol: Volume on bars where price closed higher than previous bar, shown in black text. Down Vol: Volume on bars where price closed lower than previous bar, shown in black text. Delta: Up Vol minus Down Vol, colored green for positive, red for negative, black for zero. Close: Closing price for each bar, colored green if price increased from previous bar, red if decreased, black if unchanged. Interpret the Histogram and Lines: Green Columns: Represent up-volume. Tall columns indicate strong buying volume. Red Columns: Represent down-volume. Tall columns indicate strong selling volume. Delta Line: Plotted as a line (not a column), colored green for positive values (more up-volume), red for negative (more down-volume). Large positive or negative spikes may indicate strong buying or selling pressure, respectively. How to Interpret the Table Column Meaning Color Coding Bar "Now" (current bar), "Bar -1" (previous bar), etc. Black text Up Vol Volume for bars with higher closes than previous bar Black text Down Vol Volume for bars with lower closes than previous bar Black text Delta Up Vol - Down Vol. Green if positive, red if negative, black if zero Green/Red/Black Close Closing price for the bar. Green if price increased, red if decreased, black if unchanged Green/Red/Black Green Delta: Indicates net buying pressure for that bar. Red Delta: Indicates net selling pressure for that bar. Close Price Color: Green: Price increased from previous bar. Red: Price decreased. Black: No change. Practical Trading Insights Consistently Green Delta (Histogram & Table): Sustained buying pressure; may indicate bullish sentiment or accumulation. Consistently Red Delta: Sustained selling pressure; may indicate bearish sentiment or distribution. Large Up/Down Volume Spikes: Big green or red columns can signal strong market activity or potential reversals if they occur at trend extremes. Delta Flipping Colors: Rapid alternation between green and red deltas may indicate a choppy or indecisive market. Close Price Color in Table: Use as a quick confirmation of whether volume surges are pushing price in the expected direction. Troubleshooting & Notes No Volume Data Error: If your symbol doesn’t provide volume data (e.g., some indices or synthetic assets), the script will display an error. Custom Timeframe: If using a custom timeframe, ensure your chart supports it and that there is enough data for meaningful calculations. High-Contrast Table: Designed for clarity and accessibility, but you can adjust colors in the code if needed for your personal preferences. Summary Table Legend Bar Up Vol Down Vol Delta Close Now ... ... ... ... Bar-1 ... ... ... ... ... ... ... ... ... Colors reflect the meaning as described above. In Summary This indicator visually and numerically breaks down buying and selling volume, helping you spot shifts in market sentiment, volume surges, and price/volume divergences at a glance. Use the table for precise recent data, the histogram for overall flow, and the color cues for instant market context.
אינדיקטור Pine Script®
מאת ‎ChalkBoardAnalytics‎
Trend Gauge [BullByte]Trend Gauge Summary A multi-factor trend detection indicator that aggregates EMA alignment, VWMA momentum scaling, volume spikes, ATR breakout strength, higher-timeframe confirmation, ADX-based regime filtering, and RSI pivot-divergence penalty into one normalized trend score. It also provides a confidence meter, a Δ Score momentum histogram, divergence highlights, and a compact, scalable dashboard for at-a-glance status. ________________________________________ ## 1. Purpose of the Indicator Why this was built Traders often monitor several indicators in parallel - EMAs, volume signals, volatility breakouts, higher-timeframe trends, ADX readings, divergence alerts, etc., which can be cumbersome and sometimes contradictory. The “Trend Gauge” indicator was created to consolidate these complementary checks into a single, normalized score that reflects the prevailing market bias (bullish, bearish, or neutral) and its strength. By combining multiple inputs with an adaptive regime filter, scaling contributions by magnitude, and penalizing weakening signals (divergence), this tool aims to reduce noise, highlight genuine trend opportunities, and warn when momentum fades. Key Design Goals Signal Aggregation Merged trend-following signals (EMA crossover, ATR breakout, higher-timeframe confirmation) and momentum signals (VWMA thrust, volume spikes) into a unified score that reflects directional bias more holistically. Market Regime Awareness Implemented an ADX-style filter to distinguish between trending and ranging markets, reducing the influence of trend signals during sideways phases to avoid false breakouts. Magnitude-Based Scaling Replaced binary contributions with scaled inputs: VWMA thrust and ATR breakout are weighted relative to recent averages, allowing for more nuanced score adjustments based on signal strength. Momentum Divergence Penalty Integrated pivot-based RSI divergence detection to slightly reduce the overall score when early signs of momentum weakening are detected, improving risk-awareness in entries. Confidence Transparency Added a live confidence metric that shows what percentage of enabled sub-indicators currently agree with the overall bias, making the scoring system more interpretable. Momentum Acceleration Visualization Plotted the change in score (Δ Score) as a histogram bar-to-bar, highlighting whether momentum is increasing, flattening, or reversing, aiding in more timely decision-making. Compact Informational Dashboard Presented a clean, scalable dashboard that displays each component’s status, the final score, confidence %, detected regime (Trending/Ranging), and a labeled strength gauge for quick visual assessment. ________________________________________ ## 2. Why a Trader Should Use It Main benefits and use cases 1. Unified View: Rather than juggling multiple windows or panels, this indicator delivers a single score synthesizing diverse signals. 2. Regime Filtering: In ranging markets, trend signals often generate false entries. The ADX-based regime filter automatically down-weights trend-following components, helping you avoid chasing false breakouts. 3. Nuanced Momentum & Volatility: VWMA and ATR breakout contributions are normalized by recent averages, so strong moves register strongly while smaller fluctuations are de-emphasized. 4. Early Warning of Weakening: Pivot-based RSI divergence is detected and used to slightly reduce the score when price/momentum diverges, giving a cautionary signal before a full reversal. 5. Confidence Meter: See at a glance how many sub-indicators align with the aggregated bias (e.g., “80% confidence” means 4 out of 5 components agree ). This transparency avoids black-box decisions. 6. Trend Acceleration/Deceleration View: The Δ Score histogram visualizes whether the aggregated score is rising (accelerating trend) or falling (momentum fading), supplementing the main oscillator. 7. Compact Dashboard: A corner table lists each check’s status (“Bull”, “Bear”, “Flat” or “Disabled”), plus overall Score, Confidence %, Regime, Trend Strength label, and a gauge bar. Users can scale text size (Normal, Small, Tiny) without removing elements, so the full picture remains visible even in compact layouts. 8. Customizable & Transparent: All components can be enabled/disabled and parameterized (lengths, thresholds, weights). The full Pine code is open and well-commented, letting users inspect or adapt the logic. 9. Alert-ready: Built-in alert conditions fire when the score crosses weak thresholds to bullish/bearish or returns to neutral, enabling timely notifications. ________________________________________ ## 3. Component Rationale (“Why These Specific Indicators?”) Each sub-component was chosen because it adds complementary information about trend or momentum: 1. EMA Cross o Basic trend measure: compares a faster EMA vs. a slower EMA. Quickly reflects trend shifts but by itself can whipsaw in sideways markets. 2. VWMA Momentum o Volume-weighted moving average change indicates momentum with volume context. By normalizing (dividing by a recent average absolute change), we capture the strength of momentum relative to recent history. This scaling prevents tiny moves from dominating and highlights genuinely strong momentum. 3. Volume Spikes o Sudden jumps in volume combined with price movement often accompany stronger moves or reversals. A binary detection (+1 for bullish spike, -1 for bearish spike) flags high-conviction bars. 4. ATR Breakout o Detects price breaking beyond recent highs/lows by a multiple of ATR. Measures breakout strength by how far beyond the threshold price moves relative to ATR, capped to avoid extreme outliers. This gives a volatility-contextual trend signal. 5. Higher-Timeframe EMA Alignment o Confirms whether the shorter-term trend aligns with a higher timeframe trend. Uses request.security with lookahead_off to avoid future data. When multiple timeframes agree, confidence in direction increases. 6. ADX Regime Filter (Manual Calculation) o Computes directional movement (+DM/–DM), smoothes via RMA, computes DI+ and DI–, then a DX and ADX-like value. If ADX ≥ threshold, market is “Trending” and trend components carry full weight; if ADX < threshold, “Ranging” mode applies a configurable weight multiplier (e.g., 0.5) to trend-based contributions, reducing false signals in sideways conditions. Volume spikes remain binary (optional behavior; can be adjusted if desired). 7. RSI Pivot-Divergence Penalty o Uses ta.pivothigh / ta.pivotlow with a lookback to detect pivot highs/lows on price and corresponding RSI values. When price makes a higher high but RSI makes a lower high (bearish divergence), or price makes a lower low but RSI makes a higher low (bullish divergence), a divergence signal is set. Rather than flipping the trend outright, the indicator subtracts (or adds) a small penalty (configurable) from the aggregated score if it would weaken the current bias. This subtle adjustment warns of weakening momentum without overreacting to noise. 8. Confidence Meter o Counts how many enabled components currently agree in direction with the aggregated score (i.e., component sign × score sign > 0). Displays this as a percentage. A high percentage indicates strong corroboration; a low percentage warns of mixed signals. 9. Δ Score Momentum View o Plots the bar-to-bar change in the aggregated score (delta_score = score - score ) as a histogram. When positive, bars are drawn in green above zero; when negative, bars are drawn in red below zero. This reveals acceleration (rising Δ) or deceleration (falling Δ), supplementing the main oscillator. 10. Dashboard • A table in the indicator pane’s top-right with 11 rows: 1. EMA Cross status 2. VWMA Momentum status 3. Volume Spike status 4. ATR Breakout status 5. Higher-Timeframe Trend status 6. Score (numeric) 7. Confidence % 8. Regime (“Trending” or “Ranging”) 9. Trend Strength label (e.g., “Weak Bullish Trend”, “Strong Bearish Trend”) 10. Gauge bar visually representing score magnitude • All rows always present; size_opt (Normal, Small, Tiny) only changes text size via text_size, not which elements appear. This ensures full transparency. ________________________________________ ## 4. What Makes This Indicator Stand Out • Regime-Weighted Multi-Factor Score: Trend and momentum signals are adaptively weighted by market regime (trending vs. ranging) , reducing false signals. • Magnitude Scaling: VWMA and ATR breakout contributions are normalized by recent average momentum or ATR, giving finer gradation compared to simple ±1. • Integrated Divergence Penalty: Divergence directly adjusts the aggregated score rather than appearing as a separate subplot; this influences alerts and trend labeling in real time. • Confidence Meter: Shows the percentage of sub-signals in agreement, providing transparency and preventing blind trust in a single metric. • Δ Score Histogram Momentum View: A histogram highlights acceleration or deceleration of the aggregated trend score, helping detect shifts early. • Flexible Dashboard: Always-visible component statuses and summary metrics in one place; text size scaling keeps the full picture available in cramped layouts. • Lookahead-Safe HTF Confirmation: Uses lookahead_off so no future data is accessed from higher timeframes, avoiding repaint bias. • Repaint Transparency: Divergence detection uses pivot functions that inherently confirm only after lookback bars; description documents this lag so users understand how and when divergence labels appear. • Open-Source & Educational: Full, well-commented Pine v6 code is provided; users can learn from its structure: manual ADX computation, conditional plotting with series = show ? value : na, efficient use of table.new in barstate.islast, and grouped inputs with tooltips. • Compliance-Conscious: All plots have descriptive titles; inputs use clear names; no unnamed generic “Plot” entries; manual ADX uses RMA; all request.security calls use lookahead_off. Code comments mention repaint behavior and limitations. ________________________________________ ## 5. Recommended Timeframes & Tuning • Any Timeframe: The indicator works on small (e.g., 1m) to large (daily, weekly) timeframes. However: o On very low timeframes (<1m or tick charts), noise may produce frequent whipsaws. Consider increasing smoothing lengths, disabling certain components (e.g., volume spike if volume data noisy), or using a larger pivot lookback for divergence. o On higher timeframes (daily, weekly), consider longer lookbacks for ATR breakout or divergence, and set Higher-Timeframe trend appropriately (e.g., 4H HTF when on 5 Min chart). • Defaults & Experimentation: Default input values are chosen to be balanced for many liquid markets. Users should test with replay or historical analysis on their symbol/timeframe and adjust: o ADX threshold (e.g., 20–30) based on instrument volatility. o VWMA and ATR scaling lengths to match average volatility cycles. o Pivot lookback for divergence: shorter for faster markets, longer for slower ones. • Combining with Other Analysis: Use in conjunction with price action, support/resistance, candlestick patterns, order flow, or other tools as desired. The aggregated score and alerts can guide attention but should not be the sole decision-factor. ________________________________________ ## 6. How Scoring and Logic Works (Step-by-Step) 1. Compute Sub-Scores o EMA Cross: Evaluate fast EMA > slow EMA ? +1 : fast EMA < slow EMA ? -1 : 0. o VWMA Momentum: Calculate vwma = ta.vwma(close, length), then vwma_mom = vwma - vwma . Normalize: divide by recent average absolute momentum (e.g., ta.sma(abs(vwma_mom), lookback)), clip to . o Volume Spike: Compute vol_SMA = ta.sma(volume, len). If volume > vol_SMA * multiplier AND price moved up ≥ threshold%, assign +1; if moved down ≥ threshold%, assign -1; else 0. o ATR Breakout: Determine recent high/low over lookback. If close > high + ATR*mult, compute distance = close - (high + ATR*mult), normalize by ATR, cap at a configured maximum. Assign positive contribution. Similarly for bearish breakout below low. o Higher-Timeframe Trend: Use request.security(..., lookahead=barmerge.lookahead_off) to fetch HTF EMAs; assign +1 or -1 based on alignment. 2. ADX Regime Weighting o Compute manual ADX: directional movements (+DM, –DM), smoothed via RMA, DI+ and DI–, then DX and ADX via RMA. If ADX ≥ threshold, market is considered “Trending”; otherwise “Ranging.” o If trending, trend-based contributions (EMA, VWMA, ATR, HTF) use full weight = 1.0. If ranging, use weight = ranging_weight (e.g., 0.5) to down-weight them. Volume spike stays binary ±1 (optional to change if desired). 3. Aggregate Raw Score o Sum weighted contributions of all enabled components. Count the number of enabled components; if zero, default count = 1 to avoid division by zero. 4. Divergence Penalty o Detect pivot highs/lows on price and corresponding RSI values, using a lookback. When price and RSI diverge (bearish or bullish divergence), check if current raw score is in the opposing direction:  If bearish divergence (price higher high, RSI lower high) and raw score currently positive, subtract a penalty (e.g., 0.5).  If bullish divergence (price lower low, RSI higher low) and raw score currently negative, add a penalty. o This reduces score magnitude to reflect weakening momentum, without flipping the trend outright. 5. Normalize and Smooth o Normalized score = (raw_score / number_of_enabled_components) * 100. This yields a roughly range. o Optional EMA smoothing of this normalized score to reduce noise. 6. Interpretation o Sign: >0 = net bullish bias; <0 = net bearish bias; near zero = neutral. o Magnitude Zones: Compare |score| to thresholds (Weak, Medium, Strong) to label trend strength (e.g., “Weak Bullish Trend”, “Medium Bearish Trend”, “Strong Bullish Trend”). o Δ Score Histogram: The histogram bars from zero show change from previous bar’s score; positive bars indicate acceleration, negative bars indicate deceleration. o Confidence: Percentage of sub-indicators aligned with the score’s sign. o Regime: Indicates whether trend-based signals are fully weighted or down-weighted. ________________________________________ ## 7. Oscillator Plot & Visualization: How to Read It Main Score Line & Area The oscillator plots the aggregated score as a line, with colored fill: green above zero for bullish area, red below zero for bearish area. Horizontal reference lines at ±Weak, ±Medium, and ±Strong thresholds mark zones: crossing above +Weak suggests beginning of bullish bias, above +Medium for moderate strength, above +Strong for strong trend; similarly for bearish below negative thresholds. Δ Score Histogram If enabled, a histogram shows score - score . When positive, bars appear in green above zero, indicating accelerating bullish momentum; when negative, bars appear in red below zero, indicating decelerating or reversing momentum. The height of each bar reflects the magnitude of change in the aggregated score from the prior bar. Divergence Highlight Fill If enabled, when a pivot-based divergence is confirmed: • Bullish Divergence : fill the area below zero down to –Weak threshold in green, signaling potential reversal from bearish to bullish. • Bearish Divergence : fill the area above zero up to +Weak threshold in red, signaling potential reversal from bullish to bearish. These fills appear with a lag equal to pivot lookback (the number of bars needed to confirm the pivot). They do not repaint after confirmation, but users must understand this lag. Trend Direction Label When score crosses above or below the Weak threshold, a small label appears near the score line reading “Bullish” or “Bearish.” If the score returns within ±Weak, the label “Neutral” appears. This helps quickly identify shifts at the moment they occur. Dashboard Panel In the indicator pane’s top-right, a table shows: 1. EMA Cross status: “Bull”, “Bear”, “Flat”, or “Disabled” 2. VWMA Momentum status: similarly 3. Volume Spike status: “Bull”, “Bear”, “No”, or “Disabled” 4. ATR Breakout status: “Bull”, “Bear”, “No”, or “Disabled” 5. Higher-Timeframe Trend status: “Bull”, “Bear”, “Flat”, or “Disabled” 6. Score: numeric value (rounded) 7. Confidence: e.g., “80%” (colored: green for high, amber for medium, red for low) 8. Regime: “Trending” or “Ranging” (colored accordingly) 9. Trend Strength: textual label based on magnitude (e.g., “Medium Bullish Trend”) 10. Gauge: a bar of blocks representing |score|/100 All rows remain visible at all times; changing Dashboard Size only scales text size (Normal, Small, Tiny). ________________________________________ ## 8. Example Usage (Illustrative Scenario) Example: BTCUSD 5 Min 1. Setup: Add “Trend Gauge ” to your BTCUSD 5 Min chart. Defaults: EMAs (8/21), VWMA 14 with lookback 3, volume spike settings, ATR breakout 14/5, HTF = 5m (or adjust to 4H if preferred), ADX threshold 25, ranging weight 0.5, divergence RSI length 14 pivot lookback 5, penalty 0.5, smoothing length 3, thresholds Weak=20, Medium=50, Strong=80. Dashboard Size = Small. 2. Trend Onset: At some point, price breaks above recent high by ATR multiple, volume spikes upward, faster EMA crosses above slower EMA, HTF EMA also bullish, and ADX (manual) ≥ threshold → aggregated score rises above +20 (Weak threshold) into +Medium zone. Dashboard shows “Bull” for EMA, VWMA, Vol Spike, ATR, HTF; Score ~+60–+70; Confidence ~100%; Regime “Trending”; Trend Strength “Medium Bullish Trend”; Gauge ~6–7 blocks. Δ Score histogram bars are green and rising, indicating accelerating bullish momentum. Trader notes the alignment. 3. Divergence Warning: Later, price makes a slightly higher high but RSI fails to confirm (lower RSI high). Pivot lookback completes; the indicator highlights a bearish divergence fill above zero and subtracts a small penalty from the score, causing score to stall or retrace slightly. Dashboard still bullish but score dips toward +Weak. This warns the trader to tighten stops or take partial profits. 4. Trend Weakens: Score eventually crosses below +Weak back into neutral; a “Neutral” label appears, and a “Neutral Trend” alert fires if enabled. Trader exits or avoids new long entries. If score subsequently crosses below –Weak, a “Bearish” label and alert occur. 5. Customization: If the trader finds VWMA noise too frequent on this instrument, they may disable VWMA or increase lookback. If ATR breakouts are too rare, adjust ATR length or multiplier. If ADX threshold seems off, tune threshold. All these adjustments are explained in Inputs section. 6. Visualization: The screenshot shows the main score oscillator with colored areas, reference lines at ±20/50/80, Δ Score histogram bars below/above zero, divergence fill highlighting potential reversal, and the dashboard table in the top-right. ________________________________________ ## 9. Inputs Explanation A concise yet clear summary of inputs helps users understand and adjust: 1. General Settings • Theme (Dark/Light): Choose background-appropriate colors for the indicator pane. • Dashboard Size (Normal/Small/Tiny): Scales text size only; all dashboard elements remain visible. 2. Indicator Settings • Enable EMA Cross: Toggle on/off basic EMA alignment check. o Fast EMA Length and Slow EMA Length: Periods for EMAs. • Enable VWMA Momentum: Toggle VWMA momentum check. o VWMA Length: Period for VWMA. o VWMA Momentum Lookback: Bars to compare VWMA to measure momentum. • Enable Volume Spike: Toggle volume spike detection. o Volume SMA Length: Period to compute average volume. o Volume Spike Multiplier: How many times above average volume qualifies as spike. o Min Price Move (%): Minimum percent change in price during spike to qualify as bullish or bearish. • Enable ATR Breakout: Toggle ATR breakout detection. o ATR Length: Period for ATR. o Breakout Lookback: Bars to look back for recent highs/lows. o ATR Multiplier: Multiplier for breakout threshold. • Enable Higher Timeframe Trend: Toggle HTF EMA alignment. o Higher Timeframe: E.g., “5” for 5-minute when on 1-minute chart, or “60” for 5 Min when on 15m, etc. Uses lookahead_off. • Enable ADX Regime Filter: Toggles regime-based weighting. o ADX Length: Period for manual ADX calculation. o ADX Threshold: Value above which market considered trending. o Ranging Weight Multiplier: Weight applied to trend components when ADX < threshold (e.g., 0.5). • Scale VWMA Momentum: Toggle normalization of VWMA momentum magnitude. o VWMA Mom Scale Lookback: Period for average absolute VWMA momentum. • Scale ATR Breakout Strength: Toggle normalization of breakout distance by ATR. o ATR Scale Cap: Maximum multiple of ATR used for breakout strength. • Enable Price-RSI Divergence: Toggle divergence detection. o RSI Length for Divergence: Period for RSI. o Pivot Lookback for Divergence: Bars on each side to identify pivot high/low. o Divergence Penalty: Amount to subtract/add to score when divergence detected (e.g., 0.5). 3. Score Settings • Smooth Score: Toggle EMA smoothing of normalized score. • Score Smoothing Length: Period for smoothing EMA. • Weak Threshold: Absolute score value under which trend is considered weak or neutral. • Medium Threshold: Score above Weak but below Medium is moderate. • Strong Threshold: Score above this indicates strong trend. 4. Visualization Settings • Show Δ Score Histogram: Toggle display of the bar-to-bar change in score as a histogram. Default true. • Show Divergence Fill: Toggle background fill highlighting confirmed divergences. Default true. Each input has a tooltip in the code. ________________________________________ ## 10. Limitations, Repaint Notes, and Disclaimers 10.1. Repaint & Lag Considerations • Pivot-Based Divergence Lag: The divergence detection uses ta.pivothigh / ta.pivotlow with a specified lookback. By design, a pivot is only confirmed after the lookback number of bars. As a result: o Divergence labels or fills appear with a delay equal to the pivot lookback. o Once the pivot is confirmed and the divergence is detected, the fill/label does not repaint thereafter, but you must understand and accept this lag. o Users should not treat divergence highlights as predictive signals without additional confirmation, because they appear after the pivot has fully formed. • Higher-Timeframe EMA Alignment: Uses request.security(..., lookahead=barmerge.lookahead_off), so no future data from the higher timeframe is used. This avoids lookahead bias and ensures signals are based only on completed higher-timeframe bars. • No Future Data: All calculations are designed to avoid using future information. For example, manual ADX uses RMA on past data; security calls use lookahead_off. 10.2. Market & Noise Considerations • In very choppy or low-liquidity markets, some components (e.g., volume spikes or VWMA momentum) may be noisy. Users can disable or adjust those components’ parameters. • On extremely low timeframes, noise may dominate; consider smoothing lengths or disabling certain features. • On very high timeframes, pivots and breakouts occur less frequently; adjust lookbacks accordingly to avoid sparse signals. 10.3. Not a Standalone Trading System • This is an indicator, not a complete trading strategy. It provides signals and context but does not manage entries, exits, position sizing, or risk management. • Users must combine it with their own analysis, money management, and confirmations (e.g., price patterns, support/resistance, fundamental context). • No guarantees: past behavior does not guarantee future performance. 10.4. Disclaimers • Educational Purposes Only: The script is provided as-is for educational and informational purposes. It does not constitute financial, investment, or trading advice. • Use at Your Own Risk: Trading involves risk of loss. Users should thoroughly test and use proper risk management. • No Guarantees: The author is not responsible for trading outcomes based on this indicator. • License: Published under Mozilla Public License 2.0; code is open for viewing and modification under MPL terms. ________________________________________ ## 11. Alerts • The indicator defines three alert conditions: 1. Bullish Trend: when the aggregated score crosses above the Weak threshold. 2. Bearish Trend: when the score crosses below the negative Weak threshold. 3. Neutral Trend: when the score returns within ±Weak after being outside. Good luck – BullByte
אינדיקטור Pine Script®
מאת ‎BullByte‎
3
FVG Premium [no1x]█ OVERVIEW This indicator provides a comprehensive toolkit for identifying, visualizing, and tracking Fair Value Gaps (FVGs) across three distinct timeframes (current chart, a user-defined Medium Timeframe - MTF, and a user-defined High Timeframe - HTF). It is designed to offer traders enhanced insight into FVG dynamics through detailed state monitoring (formation, partial fill, full mitigation, midline touch), extensive visual customization for FVG representation, and a rich alert system for timely notifications on FVG-related events. █ CONCEPTS This indicator is built upon the core concept of Fair Value Gaps (FVGs) and their significance in price action analysis, offering a multi-layered approach to their detection and interpretation across different timeframes. Fair Value Gaps (FVGs) A Fair Value Gap (FVG), also known as an imbalance, represents a range in price delivery where one side of the market (buying or selling) was more aggressive, leaving an inefficiency or an "imbalance" in the price action. This concept is prominently featured within Smart Money Concepts (SMC) and Inner Circle Trader (ICT) methodologies, where such gaps are often interpreted as footprints left by "smart money" due to rapid, forceful price movements. These methodologies suggest that price may later revisit these FVG zones to rebalance a prior inefficiency or to seek liquidity before continuing its path. These gaps are typically identified by a three-bar pattern: Bullish FVG : This is a three-candle formation where the second candle shows a strong upward move. The FVG is the space created between the high of the first candle (bottom of FVG) and the low of the third candle (top of FVG). This indicates a strong upward impulsive move. Bearish FVG : This is a three-candle formation where the second candle shows a strong downward move. The FVG is the space created between the low of the first candle (top of FVG) and the high of the third candle (bottom of FVG). This indicates a strong downward impulsive move. FVGs are often watched by traders as potential areas where price might return to "rebalance" or find support/resistance. Multi-Timeframe (MTF) Analysis The indicator extends FVG detection beyond the current chart's timeframe (Low Timeframe - LTF) to two higher user-defined timeframes: Medium Timeframe (MTF) and High Timeframe (HTF). This allows traders to: Identify FVGs that might be significant on a broader market structure. Observe how FVGs from different timeframes align or interact. Gain a more comprehensive perspective on potential support and resistance zones. FVG State and Lifecycle Management The indicator actively tracks the lifecycle of each detected FVG: Formation : The initial identification of an FVG. Partial Fill (Entry) : When price enters but does not completely pass through the FVG. The indicator updates the "current" top/bottom of the FVG to reflect the filled portion. Midline (Equilibrium) Touch : When price touches the 50% level of the FVG. Full Mitigation : When price completely trades through the FVG, effectively "filling" or "rebalancing" the gap. The indicator records the mitigation time. This state tracking is crucial for understanding how price interacts with these zones. FVG Classification (Large FVG) FVGs can be optionally classified as "Large FVGs" (LV) if their size (top to bottom range) exceeds a user-defined multiple of the Average True Range (ATR) for that FVG's timeframe. This helps distinguish FVGs that are significantly larger relative to recent volatility. Visual Customization and Information Delivery A key concept is providing extensive control over how FVGs are displayed. This control is achieved through a centralized set of visual parameters within the indicator, allowing users to configure numerous aspects (colors, line styles, visibility of boxes, midlines, mitigation lines, labels, etc.) for each timeframe. Additionally, an on-chart information panel summarizes the nearest unmitigated bullish and bearish FVG levels for each active timeframe, providing a quick glance at key price points. █ FEATURES This indicator offers a rich set of features designed to provide a highly customizable and comprehensive Fair Value Gap (FVG) analysis experience. Users can tailor the FVG detection, visual representation, and alerting mechanisms across three distinct timeframes: the current chart (Low Timeframe - LTF), a user-defined Medium Timeframe (MTF), and a user-defined High Timeframe (HTF). Multi-Timeframe FVG Detection and Display The core strength of this indicator lies in its ability to identify and display FVGs from not only the current chart's timeframe (LTF) but also from two higher, user-selectable timeframes (MTF and HTF). Timeframe Selection: Users can specify the exact MTF (e.g., "60", "240") and HTF (e.g., "D", "W") through dedicated inputs in the "MTF (Medium Timeframe)" and "HTF (High Timeframe)" settings groups. The visibility of FVGs from these higher timeframes can be toggled independently using the "Show MTF FVGs" and "Show HTF FVGs" checkboxes. Consistent Detection Logic: The FVG detection logic, based on the classic three-bar imbalance pattern detailed in the 'Concepts' section, is applied consistently across all selected timeframes (LTF, MTF, HTF) Timeframe-Specific Visuals: Each timeframe's FVGs (LTF, MTF, HTF) can be customized with unique colors for bullish/bearish states and their mitigated counterparts. This allows for easy visual differentiation of FVGs originating from different market perspectives. Comprehensive FVG Visualization Options The indicator provides extensive control over how FVGs are visually represented on the chart for each timeframe (LTF, MTF, HTF). FVG Boxes: Visibility: Main FVG boxes can be shown or hidden per timeframe using the "Show FVG Boxes" (for LTF), "Show Boxes" (for MTF/HTF) inputs. Color Customization: Colors for bullish, bearish, active, and mitigated FVG boxes (including Large FVGs, if classified) are fully customizable for each timeframe. Box Extension & Length: FVG boxes can either be extended to the right indefinitely ("Extend Boxes Right") or set to a fixed length in bars ("Short Box Length" or "Box Length" equivalent inputs). Box Labels: Optional labels can display the FVG's timeframe and fill percentage on the box. These labels are configurable for all timeframes (LTF, MTF, and HTF). Please note: If FVGs are positioned very close to each other on the chart, their respective labels may overlap. This can potentially lead to visual clutter, and it is a known behavior in the current version of the indicator. Box Borders: Visibility, width, style (solid, dashed, dotted), and color of FVG box borders are customizable per timeframe. Midlines (Equilibrium/EQ): Visibility: The 50% level (midline or EQ) of FVGs can be shown or hidden for each timeframe. Style Customization: Width, style, and color of the midline are customizable per timeframe. The indicator tracks if this midline has been touched by price. Mitigation Lines: Visibility: Mitigation lines (representing the FVG's opening level that needs to be breached for full mitigation) can be shown or hidden for each timeframe. If shown, these lines are always extended to the right. Style Customization: Width, style, and color of the mitigation line are customizable per timeframe. Mitigation Line Labels: Optional price labels can be displayed on mitigation lines, with a customizable horizontal bar offset for positioning. For optimal label placement, the following horizontal bar offsets are recommended: 4 for LTF, 8 for MTF, and 12 for HTF. Persistence After Mitigation: Users can choose to keep mitigation lines visible even after an FVG is fully mitigated, with a distinct color for such lines. Importantly, this option is only effective if the general setting 'Hide Fully Mitigated FVGs' is disabled, as otherwise, the entire FVG and its lines will be removed upon mitigation. FVG State Management and Behavior The indicator tracks and visually responds to changes in FVG states. Hide Fully Mitigated FVGs: This option, typically found in the indicator's general settings, allows users to automatically remove all visual elements of an FVG from the chart once price has fully mitigated it. This helps maintain chart clarity by focusing on active FVGs. Partial Fill Visualization: When price enters an FVG, the indicator offers a dynamic visual representation: the portion of the FVG that has been filled is shown as a "mitigated box" (typically with a distinct color), while the original FVG box shrinks to clearly highlight the remaining, unfilled portion. This two-part display provides an immediate visual cue about how much of the FVG's imbalance has been addressed and what potential remains within the gap. Visual Filtering by ATR Proximity: To help users focus on the most relevant price action, FVGs can be dynamically hidden if they are located further from the current price than a user-defined multiple of the Average True Range (ATR). This behavior is controlled by the "Filter Band Width (ATR Multiple)" input; setting this to zero disables the filter entirely, ensuring all detected FVGs remain visible regardless of their proximity to price. Alternative Usage Example: Mitigation Lines as Key Support/Resistance Levels For traders preferring a minimalist chart focused on key Fair Value Gap (FVG) levels, the indicator's visualization settings can be customized to display only FVG mitigation lines. This approach leverages these lines as potential support and resistance zones, reflecting areas where price might revisit to address imbalances. To configure this view: Disable FVG Boxes: Turn off "Show FVG Boxes" (for LTF) or "Show Boxes" (for MTF/HTF) for the desired timeframes. Hide Midlines: Disable the visibility of the 50% FVG Midlines (Equilibrium/EQ). Ensure Mitigation Lines are Visible: Keep "Mitigation Lines" enabled. Retain All Mitigation Lines: Disable the "Hide Fully Mitigated FVGs" option in the general settings. Enable the feature to "keep mitigation lines visible even after an FVG is fully mitigated". This ensures lines from all FVGs (active or fully mitigated) remain on the chart, which is only effective if "Hide Fully Mitigated FVGs" is disabled. This setup offers: A Decluttered Chart: Focuses solely on the FVG opening levels. Precise S/R Zones: Treats mitigation lines as specific points for potential price reactions. Historical Level Analysis: Includes lines from past, fully mitigated FVGs for a comprehensive view of significant price levels. For enhanced usability with this focused view, consider these optional additions: The on-chart Information Panel can be activated to display a quick summary of the nearest unmitigated FVG levels. Mitigation Line Labels can also be activated for clear price level identification. A customizable horizontal bar offset is available for positioning these labels; for example, offsets of 4 for LTF, 8 for MTF, and 12 for HTF can be effective. FVG Classification (Large FVG) This feature allows for distinguishing FVGs based on their size relative to market volatility. Enable Classification: Users can enable "Classify FVG (Large FVG)" to identify FVGs that are significantly larger than average. ATR-Based Threshold: An FVG is classified as "Large" if its height (price range) is greater than or equal to the Average True Range (ATR) of its timeframe multiplied by a user-defined "Large FVG Threshold (ATR Multiple)". The ATR period for this calculation is also configurable. Dedicated Colors: Large FVGs (both bullish/bearish and active/mitigated) can be assigned unique colors, making them easily distinguishable on the chart. Panel Icon: Large FVGs are marked with a special icon in the Info Panel. Information Panel An on-chart panel provides a quick summary of the nearest unmitigated FVG levels. Visibility and Position: The panel can be shown/hidden and positioned in any of the nine standard locations on the chart (e.g., Top Right, Middle Center). Content: It displays the price levels of the nearest unmitigated bullish and bearish FVGs for LTF, MTF (if active), and HTF (if active). It also indicates if these nearest FVGs are Large FVGs (if classification is enabled) using a selectable icon. Styling: Text size, border color, header background/text colors, default text color, and "N/A" cell background color are customizable. Highlighting: Background and text colors for the cells displaying the overall nearest bullish and bearish FVG levels (across all active timeframes) can be customized to draw attention to the most proximate FVG. Comprehensive Alert System The indicator offers a granular alert system for various FVG-related events, configurable for each timeframe (LTF, MTF, HTF) independently. Users can enable alerts for: New FVG Formation: Separate alerts for new bullish and new bearish FVG formations. FVG Entry/Partial Fill: Separate alerts for price entering a bullish FVG or a bearish FVG. FVG Full Mitigation: Separate alerts for full mitigation of bullish and bearish FVGs. FVG Midline (EQ) Touch: Separate alerts for price touching the midline of a bullish or bearish FVG. Alert messages are detailed, providing information such as the timeframe, FVG type (bull/bear, Large FVG), relevant price levels, and timestamps. █ NOTES This section provides additional information regarding the indicator's usage, performance considerations, and potential interactions with the TradingView platform. Understanding these points can help users optimize their experience and troubleshoot effectively. Performance and Resource Management Maximum FVGs to Track : The "Max FVGs to Track" input (defaulting to 25) limits the number of FVG objects processed for each category (e.g., LTF Bullish, MTF Bearish). Increasing this value significantly can impact performance due to more objects being iterated over and potentially drawn, especially when multiple timeframes are active. Drawing Object Limits : To manage performance, this script sets its own internal limits on the number of drawing objects it displays. While it allows for up to approximately 500 lines (max_lines_count=500) and 500 labels (max_labels_count=500), the number of FVG boxes is deliberately restricted to a maximum of 150 (max_boxes_count=150). This specific limit for boxes is a key performance consideration: displaying too many boxes can significantly slow down the indicator, and a very high number is often not essential for analysis. Enabling all visual elements for many FVGs across all three timeframes can cause the indicator to reach these internal limits, especially the stricter box limit Optimization Strategies : To help you manage performance, reduce visual clutter, and avoid exceeding drawing limits when using this indicator, I recommend the following strategies: Maintain or Lower FVG Tracking Count: The "Max FVGs to Track" input defaults to 25. I find this value generally sufficient for effective analysis and balanced performance. You can keep this default or consider reducing it further if you experience performance issues or prefer a less dense FVG display. Utilize Proximity Filtering: I suggest activating the "Filter Band Width (ATR Multiple)" option (found under "General Settings") to display only those FVGs closer to the current price. From my experience, a value of 5 for the ATR multiple often provides a good starting point for balanced performance, but you should feel free to adjust this based on market volatility and your specific trading needs. Hide Fully Mitigated FVGs: I strongly recommend enabling the "Hide Fully Mitigated FVGs" option. This setting automatically removes all visual elements of an FVG from the chart once it has been fully mitigated by price. Doing so significantly reduces the number of active drawing objects, lessens computational load, and helps maintain chart clarity by focusing only on active, relevant FVGs. Disable FVG Display for Unused Timeframes: If you are not actively monitoring certain higher timeframes (MTF or HTF) for FVG analysis, I advise disabling their display by unchecking "Show MTF FVGs" or "Show HTF FVGs" respectively. This can provide a significant performance boost. Simplify Visual Elements: For active FVGs, consider hiding less critical visual elements if they are not essential for your specific analysis. This could include box labels, borders, or even entire FVG boxes if, for example, only the mitigation lines are of interest for a particular timeframe. Settings Changes and Platform Limits : This indicator is comprehensive and involves numerous calculations and drawings. When multiple settings are changed rapidly in quick succession, it is possible, on occasion, for TradingView to issue a "Runtime error: modify_study_limit_exceeding" or similar. This can cause the indicator to temporarily stop updating or display errors. Recommended Approach : When adjusting settings, it is advisable to wait a brief moment (a few seconds) after each significant change. This allows the indicator to reprocess and update on the chart before another change is made Error Recovery : Should such a runtime error occur, making a minor, different adjustment in the settings (e.g., toggling a checkbox off and then on again) and waiting briefly will typically allow the indicator to recover and resume correct operation. This behavior is related to platform limitations when handling complex scripts with many inputs and drawing objects. Multi-Timeframe (MTF/HTF) Data and Behavior HTF FVG Confirmation is Essential: : For an FVG from a higher timeframe (MTF or HTF) to be identified and displayed on your current chart (LTF), the three-bar pattern forming the FVG on that higher timeframe must consist of fully closed bars. The indicator does not draw speculative FVGs based on incomplete/forming bars from higher timeframes. Data Retrieval and LTF Processing: The indicator may use techniques like lookahead = barmerge.lookahead_on for timely data retrieval from higher timeframes. However, the actual detection of an FVG occurs after all its constituent bars on the HTF have closed. Appearance Timing on LTF (1 LTF Candle Delay): As a natural consequence of this, an FVG that is confirmed on an HTF (i.e., its third bar closes) will typically become visible on your LTF chart one LTF bar after its confirmation on the HTF. Example: Assume an FVG forms on a 30-minute chart at 15:30 (i.e., with the close of the 30-minute bar that covers the 15:00-15:30 period). If you are monitoring this FVG on a 15-minute chart, the indicator will detect this newly formed 30-minute FVG while processing the data for the 15-minute bar that starts at 15:30 and closes at 15:45. Therefore, the 30-minute FVG will become visible on your 15-minute chart at the earliest by 15:45 (i.e., with the close of that relevant 15-minute LTF candle). This means the HTF FVG is reflected on the LTF chart with a delay equivalent to one LTF candle. FVG Detection and Display Logic Fair Value Gaps (FVGs) on the current chart timeframe (LTF) are detected based on barstate.isconfirmed. This means the three-bar pattern must be complete with closed bars before an FVG is identified. This confirmation method prevents FVGs from being prematurely identified on the forming bar. Alerts Alert Setup : To receive alerts from this indicator, you must first ensure you have enabled the specific alert conditions you are interested in within the indicator's own settings (see 'Comprehensive Alert System' under the 'FEATURES' section). Once configured, open TradingView's 'Create Alert' dialog. In the 'Condition' tab, select this indicator's name, and crucially, choose the 'Any alert() function call' option from the dropdown list. This setup allows the indicator to trigger alerts based on the precise event conditions you have activated in its settings Alert Frequency : Alerts are designed to trigger once per bar close (alert.freq_once_per_bar_close) for the specific event. User Interface (UI) Tips Settings Group Icons: In the indicator settings menu, timeframe-specific groups are marked with star icons for easier navigation: 🌟 for LTF (Current Chart Timeframe), 🌟🌟 for MTF (Medium Timeframe), and 🌟🌟🌟 for HTF (High Timeframe). Dependent Inputs: Some input settings are dependent on others being enabled. These dependencies are visually indicated in the settings menu using symbols like "↳" (dependent setting on the next line), "⟷" (mutually exclusive inline options), or "➜" (directly dependent inline option). Settings Layout Overview: The indicator settings are organized into logical groups for ease of use. Key global display controls – such as toggles for MTF FVGs, HTF FVGs (along with their respective timeframe selectors), and the Information Panel – are conveniently located at the very top within the '⚙️ General Settings' group. This placement allows for quick access to frequently adjusted settings. Other sections provide detailed customization options for each timeframe (LTF, MTF, HTF), specific FVG components, and alert configurations. █ FOR Pine Script® CODERS This section provides a high-level overview of the FVG Premium indicator's internal architecture, data flow, and the interaction between its various library components. It is intended for Pine Script™ programmers who wish to understand the indicator's design, potentially extend its functionality, or learn from its structure. System Architecture and Modular Design The indicator is architected moduarly, leveraging several custom libraries to separate concerns and enhance code organization and reusability. Each library has a distinct responsibility: FvgTypes: Serves as the foundational data definition layer. It defines core User-Defined Types (UDTs) like fvgObject (for storing all attributes of an FVG) and drawSettings (for visual configurations), along with enumerations like tfType. CommonUtils: Provides utility functions for common tasks like mapping user string inputs (e.g., "Dashed" for line style) to their corresponding Pine Script™ constants (e.g., line.style_dashed) and formatting timeframe strings for display. FvgCalculations: Contains the core logic for FVG detection (both LTF and MTF/HTF via requestMultiTFBarData), FVG classification (Large FVGs based on ATR), and checking FVG interactions with price (mitigation, partial fill). FvgObject: Implements an object-oriented approach by attaching methods to the fvgObject UDT. These methods manage the entire visual lifecycle of an FVG on the chart, including drawing, updating based on state changes (e.g., mitigation), and deleting drawing objects. It's responsible for applying the visual configurations defined in drawSettings. FvgPanel: Manages the creation and dynamic updates of the on-chart information panel, which displays key FVG levels. The main indicator script acts as the orchestrator, initializing these libraries, managing user inputs, processing data flow between libraries, and handling the main event loop (bar updates) for FVG state management and alerts. Core Data Flow and FVG Lifecycle Management The general data flow and FVG lifecycle can be summarized as follows: Input Processing: User inputs from the "Settings" dialog are read by the main indicator script. Visual style inputs (colors, line styles, etc.) are consolidated into a types.drawSettings object (defined in FvgTypes). Other inputs (timeframes, filter settings, alert toggles) control the behavior of different modules. CommonUtils assists in mapping some string inputs to Pine constants. FVG Detection: For the current chart timeframe (LTF), FvgCalculations.detectFvg() identifies potential FVGs based on bar patterns. For MTF/HTF, the main indicator script calls FvgCalculations.requestMultiTFBarData() to fetch necessary bar data from higher timeframes, then FvgCalculations.detectMultiTFFvg() identifies FVGs. Newly detected FVGs are instantiated as types.fvgObject and stored in arrays within the main script. These objects also undergo classification (e.g., Large FVG) by FvgCalculations. State Update & Interaction: On each bar, the main indicator script iterates through active FVG objects to manage their state based on price interaction: Initially, the main script calls FvgCalculations.fvgInteractionCheck() to efficiently determine if the current bar's price might be interacting with a given FVG. If a potential interaction is flagged, the main script then invokes methods directly on the fvgObject instance (e.g., updateMitigation(), updatePartialFill(), checkMidlineTouch(), which are part of FvgObject). These fvgObject methods are responsible for the detailed condition checking and the actual modification of the FVG's state. For instance, the updateMitigation() and updatePartialFill() methods internally utilize specific helper functions from FvgCalculations (like checkMitigation() and checkPartialMitigation()) to confirm the precise nature of the interaction before updating the fvgObject’s state fields (such as isMitigated, currentTop, currentBottom, or isMidlineTouched). Visual Rendering: The FvgObject.updateDrawings() method is called for each fvgObject. This method is central to drawing management; it creates, updates, or deletes chart drawings (boxes, lines, labels) based on the FVG's current state, its prev_* (previous bar state) fields for optimization, and the visual settings passed via the drawSettings object. Information Panel Update: The main indicator script determines the nearest FVG levels, populates a panelData object (defined in FvgPanelLib), and calls FvgPanel.updatePanel() to refresh the on-chart display. Alert Generation: Based on the updated FVG states and user-enabled alert settings, the main indicator script constructs and triggers alerts using Pine Script's alert() function." Key Design Considerations UDT-Centric Design: The fvgObject UDT is pivotal, acting as a stateful container for all information related to a single FVG. Most operations revolve around creating, updating, or querying these objects. State Management: To optimize drawing updates and manage FVG lifecycles, fvgObject instances store their previous bar's state (e.g., prevIsVisible, prevCurrentTop). The FvgObject.updateDrawings() method uses this to determine if a redraw is necessary, minimizing redundant drawing calls. Settings Object: A drawSettings object is populated once (or when inputs change) and passed to drawing functions. This avoids repeatedly reading numerous input() values on every bar or within loops, improving performance. Dynamic Arrays for FVG Storage: Arrays are used to store collections of fvgObject instances, allowing for dynamic management (adding new FVGs, iterating for updates).
אינדיקטור Pine Script®
מאת ‎no1x‎
23
Multi-Timeframe Continuity Custom Candle ConfirmationMulti-Timeframe Continuity Custom Candle Confirmation Overview The Timeframe Continuity Indicator is a versatile tool designed to help traders identify alignment between their current chart’s candlestick direction and higher timeframes of their choice. By coloring bars on the current chart (e.g., 1-minute) based on the directional alignment with selected higher timeframes (e.g., 10-minute, daily), this indicator provides a visual cue for confirming trends across multiple timeframes—a concept known as Timeframe Continuity. This approach is particularly useful for day traders, swing traders, and scalpers looking to ensure their trades align with broader market trends, reducing the risk of trading against the prevailing momentum. Originality and Usefulness This indicator is an original creation, built from scratch to address a common challenge in trading: ensuring that price action on a lower timeframe aligns with the trend on higher timeframes. Unlike many trend-following indicators that rely on moving averages, oscillators, or other lagging metrics, this script directly compares the bullish or bearish direction of candlesticks across timeframes. It introduces the following unique features: Customizable Timeframes: Users can select from a range of higher timeframes (5m, 10m, 15m, 30m, 1h, 2h, 4h, 1d, 1w, 1M) to check for alignment, making it adaptable to various trading styles. Neutral Candle Handling: The script accounts for neutral candles (where close == open) on the current timeframe by allowing them to inherit the direction of the higher timeframe, ensuring continuity in trend visualization. Table: A table displays the direction of each selected timeframe and the current timeframe, helping identify direction in the event you don't want to color bars. Toggles for Flexibility: Options to disable bar coloring and the debug table allow users to customize the indicator’s visual output for cleaner charts or focused analysis. This indicator is not a mashup of existing scripts but a purpose-built tool to visualize timeframe alignment directly through candlestick direction, offering traders a straightforward way to confirm trend consistency. What It Does The Timeframe Continuity Indicator colors bars on your chart when the direction of the current timeframe’s candlestick (bullish, bearish, or neutral) aligns with the direction of the selected higher timeframes: Lime: The current bar (e.g., 1m) is bullish or neutral, and all selected higher timeframes (e.g., 10m) are bullish. Pink: The current bar is bearish or neutral, and all selected higher timeframes are bearish. Default Color: If the directions don’t align (e.g., 1m bar is bearish but 10m is bullish), the bar remains the default chart color. The indicator also includes a debug table (toggleable) that shows the direction of each selected timeframe and the current timeframe, helping traders diagnose alignment issues. How It Works The script uses the following methodology: 1. Direction Calculation: For each timeframe (current and selected higher timeframes), the script determines the candlestick’s direction: Bullish (1): close > open / Bearish (-1): close < open / Neutral (0): close == open Higher timeframe directions are fetched using Pine Script’s request.security function, ensuring accurate data retrieval. 2. Alignment Check: The script checks if all selected higher timeframes are uniformly bullish (full_bullish) or bearish (full_bearish). o A higher timeframe must have a clear direction (bullish or bearish) to trigger coloring. If any selected timeframe is neutral, alignment fails, and no coloring occurs. 3. Coloring Logic: The current bar is colored only if its direction aligns with the higher timeframes: Lime if the higher timeframes are bullish and the current bar is bullish or neutral. Maroon if the higher timeframes are bearish and the current bar is bearish or neutral. If the current bar’s direction opposes the higher timeframe (e.g., 1m bearish, 10m bullish), the bar remains uncolored. Users can disable bar coloring entirely via the settings, leaving bars in their default chart color. 4. Direction Table: A table in the top-right corner (toggleable) displays the direction of each selected timeframe and the current timeframe, using color-coded labels (green for bullish, red for bearish, gray for neutral). This feature helps traders understand why a bar is or isn’t colored, making the indicator accessible to users unfamiliar with Pine Script. How to Use 1. Add the Indicator: Add the "Timeframe Continuity Indicator" to your chart in TradingView (e.g., a 1m chart of SPY). 2. Configure Settings: Timeframe Selection: Check the boxes for the higher timeframes you want to compare against (default: 10m). Options include 5m, 10m, 15m, 30m, 1h, 2h, 4h, 1D, 1W, and 1M. Select multiple timeframes if you want to ensure alignment across all of them (e.g., 10m and 1d). Enable Bar Coloring: Default: true (bars are colored lime or maroon when aligned). Set to false to disable coloring and keep the default chart colors. Show Table: Default: true (table is displayed in the top-right corner). Set to false to hide the table for a cleaner chart. 3. Interpret the Output: Colored Bars: Lime bars indicate the current bar (e.g., 1m) is bullish or neutral, and all selected higher timeframes are bullish. Maroon bars indicate the current bar is bearish or neutral, and all selected higher timeframes are bearish. Uncolored bars (default chart color) indicate a mismatch (e.g., 1m bar is bearish while 10m is bullish) or no coloring if disabled. Direction Table: Check the table to see the direction of each selected timeframe and the current timeframe. 4. Example Use Case: On a 1m chart of SPY, select the 10m timeframe. If the 10m timeframe is bearish, 1m bars that are bearish or neutral will color maroon, confirming you’re trading with the higher timeframe’s trend. If a 1m bar is bullish while the 10m is bearish, it remains uncolored, signaling a potential misalignment to avoid trading. Underlying Concepts The indicator is based on the concept of Timeframe Continuity, a strategy used by traders to ensure that price action on a lower timeframe aligns with the trend on higher timeframes. This reduces the risk of entering trades against the broader market direction. The script directly compares candlestick directions (bullish, bearish, or neutral) rather than relying on lagging indicators like moving averages or RSI, providing a real-time, price-action-based confirmation of trend alignment. The handling of neutral candles ensures that minor indecision on the lower timeframe doesn’t interrupt the visualization of the higher timeframe’s trend. Why This Indicator? Simplicity: Directly compares candlestick directions, avoiding complex calculations or lagging indicators. Flexibility: Customizable timeframes and toggles cater to various trading strategies. Transparency: The debug table makes the indicator’s logic accessible to all users, not just those who can read Pine Script. Practicality: Helps traders confirm trend alignment, a key factor in successful trading across timeframes.
אינדיקטור Pine Script®
מאת ‎BigGuavaTrading‎
2
waves█  OVERVIEW This library intended for use in Bar Replay provides functions to generate various wave forms (sine, cosine, triangle, square) based on time and customizable parameters. Useful for testing and in creating oscillators, indicators, or visual effects. █  FUNCTIONS  • getSineWave()  • getCosineWave()  • getTriangleWave()  • getSquareWave() █  USAGE EXAMPLE //@version=6 indicator("Wave Example") import kaigouthro/waves/1 plot(waves.getSineWave(cyclesPerMinute=15)) █  NOTES * barsPerSecond defaults to 10. Adjust this if not using 10x in Bar Replay. * Phase shift is in degrees. --- Library "waves" getSineWave(cyclesPerMinute, bar, barsPerSecond, amplitude, verticalShift, phaseShift)   `getSineWave` > Calculates a sine wave based on bar index, cycles per minute (BPM), and wave parameters.   Parameters:      cyclesPerMinute (float) : (float) The desired number of cycles per minute (BPM). Default is 30.0.      bar (int) : (int) The current bar index. Default is bar_index.      barsPerSecond (float) : (float) The number of bars per second. Default is 10.0 for Bar Replay      amplitude (float) : (float) The amplitude of the sine wave. Default is 1.0.      verticalShift (float) : (float) The vertical shift of the sine wave. Default is 0.0.      phaseShift (float) : (float) The phase shift of the sine wave in radians. Default is 0.0.   Returns: (float) The calculated sine wave value. getCosineWave(cyclesPerMinute, bar, barsPerSecond, amplitude, verticalShift, phaseShift)   `getCosineWave` > Calculates a cosine wave based on bar index, cycles per minute (BPM), and wave parameters.   Parameters:      cyclesPerMinute (float) : (float) The desired number of cycles per minute (BPM). Default is 30.0.      bar (int) : (int) The current bar index. Default is bar_index.      barsPerSecond (float) : (float) The number of bars per second. Default is 10.0 for Bar Replay      amplitude (float) : (float) The amplitude of the cosine wave. Default is 1.0.      verticalShift (float) : (float) The vertical shift of the cosine wave. Default is 0.0.      phaseShift (float) : (float) The phase shift of the cosine wave in radians. Default is 0.0.   Returns: (float) The calculated cosine wave value. getTriangleWave(cyclesPerMinute, bar, barsPerSecond, amplitude, verticalShift, phaseShift)   `getTriangleWave` > Calculates a triangle wave based on bar index, cycles per minute (BPM), and wave parameters.   Parameters:      cyclesPerMinute (float) : (float) The desired number of cycles per minute (BPM). Default is 30.0.      bar (int) : (int) The current bar index. Default is bar_index.      barsPerSecond (float) : (float) The number of bars per second. Default is 10.0 for Bar Replay      amplitude (float) : (float) The amplitude of the triangle wave. Default is 1.0.      verticalShift (float) : (float) The vertical shift of the triangle wave. Default is 0.0.      phaseShift (float) : (float) The phase shift of the triangle wave in radians. Default is 0.0.   Returns: (float) The calculated triangle wave value. getSquareWave(cyclesPerMinute, bar, barsPerSecond, amplitude, verticalShift, dutyCycle, phaseShift)   `getSquareWave` > Calculates a square wave based on bar index, cycles per minute (BPM), and wave parameters.   Parameters:      cyclesPerMinute (float) : (float) The desired number of cycles per minute (BPM). Default is 30.0.      bar (int) : (int) The current bar index. Default is bar_index.      barsPerSecond (float) : (float) The number of bars per second. Default is 10.0 for Bar Replay      amplitude (float) : (float) The amplitude of the square wave. Default is 1.0.      verticalShift (float) : (float) The vertical shift of the square wave. Default is 0.0.      dutyCycle (float) : (float) The duty cycle of the square wave (0.0 to 1.0). Default is 0.5 (50% duty cycle).      phaseShift (float) : (float) The phase shift of the square wave in radians. Default is 0.0.   Returns: (float) The calculated square wave value.
ספריית Pine Script®
מאת ‎kaigouthro‎
Uptrick: EMA Trend Indicator ### Overview The goal of this script is to visually indicate on a trading chart whether all three Exponential Moving Averages (EMAs) are trending upwards (i.e., their slopes are positive). If all EMAs are trending upwards, the script will color the bars green. If not, the bars will be colored red. ### Key Concepts 1. **Exponential Moving Average (EMA)**: An EMA is a type of moving average that places more weight on recent data, making it more responsive to price changes compared to a simple moving average (SMA). In this script, we use three different EMAs with different lengths (20, 50, and 200 periods). 2. **Slope of an EMA**: The slope of an EMA refers to the direction in which the EMA is moving. If the current value of the EMA is higher than its value in the previous bar, the slope is positive (upward). Conversely, if the current value is lower than its previous value, the slope is negative (downward). 3. **Bar Color Coding**: The script changes the color of the bars on the chart to provide a visual cue: - **Green Bars**: Indicate that all three EMAs are trending upwards. - **Red Bars**: Indicate that one or more EMAs are not trending upwards. ### Detailed Breakdown #### 1. Input Fields - **EMA Lengths**: The script starts by allowing the user to input the lengths for the three EMAs. These lengths determine how many periods (e.g., days) are used to calculate each EMA. - `ema20_length` is set to 20, meaning the first EMA uses the last 20 bars of data. - `ema50_length` is set to 50, meaning the second EMA uses the last 50 bars of data. - `ema200_length` is set to 200, meaning the third EMA uses the last 200 bars of data. #### 2. EMA Calculation - The script calculates the values of the three EMAs: - **EMA 20**: This is calculated using the last 20 bars of closing prices. - **EMA 50**: This is calculated using the last 50 bars of closing prices. - **EMA 200**: This is calculated using the last 200 bars of closing prices. These calculations result in three values for each bar on the chart, each representing the EMA value at that point in time. #### 3. Determining EMA Slopes - **EMA Slopes**: To understand the trend of each EMA, the script compares the current value of each EMA to its value in the previous bar: - For the 20-period EMA, the script checks if today’s EMA value is higher than yesterday’s EMA value. - This process is repeated for the 50-period and 200-period EMAs. - If today’s EMA value is greater than yesterday’s value, the slope is positive (upward). - If today’s EMA value is not greater (it is either equal to or less than yesterday’s value), the slope is not positive. #### 4. Evaluating All Slopes - **All Slopes Positive Condition**: The script combines the results of the individual slope checks into a single condition. It uses a logical "AND" operation: - The condition will be `true` only if all three EMAs (20, 50, and 200) have positive slopes. - If any one of the EMAs does not have a positive slope, the condition will be `false`. #### 5. Coloring the Bars - **Bar Coloring Logic**: Based on the above condition, the script decides the color of each bar on the chart: - If all slopes are positive (condition is `true`), the bar is colored green. - If any slope is not positive (condition is `false`), the bar is colored red. - **Visual Cue**: This provides a quick, visual indication to traders: - Green bars suggest that the market is in an upward trend across all three EMAs, which might indicate a strong bullish trend. - Red bars suggest that the trend is not uniformly upward, which could be a sign of weakening momentum or a potential reversal. #### 6. Alerts - **Alert Conditions**: The script also allows for alert conditions to be set based on the slope analysis: - An alert can be triggered when all EMA slopes are positive. This might be useful for traders who want to be notified when the market shows strong upward momentum. ### Summary - The script essentially takes the market data and applies three different EMAs to it, each with a different time frame. - It then checks the direction (slope) of each of these EMAs to determine if they are all trending upwards. - If they are, the script colors the bar green, signaling a potentially strong bullish trend. - If any of the EMAs is not trending upwards, it colors the bar red, indicating a potential issue with the strength of the trend. This approach helps traders quickly assess market conditions based on multiple EMAs, providing a clearer picture of the overall trend across different time frames.
אינדיקטור Pine Script®
מאת ‎Uptrick‎
1
The Strat with TFC & Combo DashIntroduction: This indicator is designed to implement "The Strat" trading strategy combined with a Timeframe Continuity Dashboard and Combo Dashboard. The Strat is a robust trading methodology that relies on price action and candlestick formations to make trading decisions. This script helps traders to identify specific bar types such as Inside Bars (1), Continuation Up Bars (2u), Continuation Down Bars (2d), and Outside Bars (3) across multiple timeframes. It visually highlights these bar types on the chart and provides a comprehensive dashboard displaying the current state of the selected timeframes. Key Features: Timeframe Continuity Dashboard: Displays arrows and bar types for up to four selected timeframes. Strat Combos Dashboard: Shows the previous and current bar types to easily spot trading setups. Customizable Colors and Labels: Options to personalize the colors and labels for Inside and Outside bars. Adjustable Dashboard Position and Size: Allows users to set the location and size of the dashboard for better visual alignment. Inputs: TFC & Combo Dash Configuration: Show TFC & Combo Dashboard: Toggle to display the dashboard. Show Strat Combos: Toggle to display Strat combo setups. Location: Dropdown to select the position of the dashboard on the chart. Size: Dropdown to choose between desktop and mobile view. Timeframe Selection: Timeframe 1: Primary timeframe for analysis. Timeframe 2: Secondary timeframe for analysis. Timeframe 3: Tertiary timeframe for analysis. Timeframe 4: Quaternary timeframe for analysis. Candle Visuals: Show Inside Bar Label: Option to show label instead of color for Inside bars. Inside Bar Color: Color picker for Inside bars. Show Outside Bar Label: Option to show label instead of color for Outside bars. Outside Bar Color: Color picker for Outside bars. TFC & Combo DashboardFunctions: The script fetches values for the selected timeframes and computes the bar types and corresponding visual elements such as arrows and background colors. The dashboard displays this information in a tabular format for easy reference during trading. The dashboard is dynamically created based on user input for position and size. It shows the selected timeframes, bar types, and combo setups, providing a quick overview of the market conditions across multiple timeframes. Timeframes: Displays the four user chosen timeframes that the dashboard fetches data from. Arrow and Color: Functions to set the arrow direction and color based on current bar action. Green and up arrow: price is above it's candle open. Red and down arrow: price is below it's candles open. Background Color: Functions to set background color based on the bar type. White for an outside bar(3), yellow for an inside bar(1), no color for a continuation bar(2). Strat Candle Combos: Functions to determine if the bar is an Inside(1), Continuation Up(2u), Continuation Down(2d), or Outside bar(3). Shows the previous bar and the current bar for the user's chosen timeframes. Candle Visuals: The script plots labels and colors for Inside and Outside bars based on user preferences. It helps in quickly identifying potential trading setups on the chart. Conclusion: We believe in providing user-friendly tools to help speed up traders technical analysis and implement easy trading strategies. The Strat with TFC & Combo Dashboard is a tool to assist traders in identifying potential trading setups based on The Strat methodology; to suit the users needs and trading style. RISK DISCLAIMER All content, tools, scripts & education provided by Gorb Algo LLC are for informational & educational purposes only. Trading is risk and most lose their money, past performance does not guarantee future results.
אינדיקטור Pine Script®
מאת ‎GorbAlgo‎
VolumeSpreadAnalysisLibrary "VolumeSpreadAnalysis" A library for Volume Spread Analysis (VSA). spread(_barIndex)   Calculates the spread of a bar.   Parameters:      _barIndex (int) : (int) The index of the bar.   Returns: (float) The spread of the bar. volume(_barIndex)   Retrieves the volume of a bar.   Parameters:      _barIndex (int) : (int) The index of the bar.   Returns: (float) The volume of the bar. body(_barIndex)   Calculates the body of a bar.   Parameters:      _barIndex (simple int) : (int) The index of the bar.   Returns: (float) The body size of the bar. wickUpper(_barIndex)   Calculates the upper wick of a bar (upper shadow).   Parameters:      _barIndex (simple int) : (int) The index of the bar.   Returns: (float) The upper wick size of the bar. wickLower(_barIndex)   Calculates the lower wick of a bar (lower shadow).   Parameters:      _barIndex (simple int) : (int) The index of the bar.   Returns: (float) The lower wick size of the bar. calcForecastedSMA(_source, _length, _forecastedLevel)   Calculates the forecasted Simple Moving Average (SMA).   Parameters:      _source (float) : (series float) Source data for calculation.      _length (simple int) : (int) The length of the SMA.      _forecastedLevel (float) : (float) The forecasted level to include in the calculation.   Returns: (float) The forecasted SMA value. calcForecastedEMA(_source, _length, _forecastedLevel)   Calculates the forecasted Exponential Moving Average (EMA).   Parameters:      _source (float) : (series float) Source data for calculation.      _length (simple int) : (int) The length of the EMA.      _forecastedLevel (float) : (float) The forecasted level to include in the calculation.   Returns: (float) The forecasted EMA value. calcForecastedRMA(_source, _length, _forecastedLevel)   Calculates the forecasted Relative Moving Average (RMA).   Parameters:      _source (float) : (series float) Source data for calculation.      _length (simple int) : (int) The length of the RMA.      _forecastedLevel (float) : (float) The forecasted level to include in the calculation.   Returns: (float) The forecasted RMA value. calcForecastedWMA(_source, _length, _forecastedLevel)   Calculates the forecasted Weighted Moving Average (WMA).   Parameters:      _source (float) : (series float) Source data for calculation.      _length (simple int) : (int) The length of the WMA.      _forecastedLevel (float) : (float) The forecasted level to include in the calculation.   Returns: (float) The forecasted WMA value. calcElapsedTimePercent()   Calculates the elapsed time percent of the current bar.   Returns: (float) The elapsed time percent. calcForecastedSpread(multiplierAtMidpoints, multiplierAtPeaks)   Calculates the forecasted spread using elapsed time and dynamic multipliers, handling spread's non-linear nature.   Parameters:      multiplierAtMidpoints (float) : (float) The multiplier value at midpoints.      multiplierAtPeaks (float) : (float) The multiplier value at peaks.   Returns: (float) The forecasted spread value. calcForecastedVolume()   Calculates the forecasted volume using elapsed time, satisfying volume's linear nature.   Returns: (float) The forecasted volume value. calcForecastedMA(_source, _length, _forecastedSource, _type)   Calculates the forecasted Moving Average (MA) based on the specified type.   Parameters:      _source (float) : (series float) Source data for calculation.      _length (simple int) : (int) The length of the MA.      _forecastedSource (float) : (float) The forecasted level to include in the calculation.      _type (simple string) : (string) The type of the MA ("SMA", "EMA", "SMMA (RMA)", "WMA").   Returns: (float) The forecasted MA value. calcMA(_source, _length, _type)   Calculates the Moving Average (MA) based on the specified type.   Parameters:      _source (float) : (series float) Source data for calculation.      _length (simple int) : (int) The length of the MA.      _type (simple string) : (string) The type of the MA ("SMA", "EMA", "SMMA (RMA)", "WMA").   Returns: (float) The MA value. bullBar(_barIndex)   Determines if the bar is bullish.   Parameters:      _barIndex (simple int) : (int) The index of the bar.   Returns: (bool) True if the bar is bullish, otherwise false. bearBar(_barIndex)   Determines if the bar is bearish.   Parameters:      _barIndex (simple int) : (int) The index of the bar.   Returns: (bool) True if the bar is bearish, otherwise false. breakout(_barIndex)   Determines if there is a breakout above the previous bar.   Parameters:      _barIndex (simple int) : (int) The index of the bar.   Returns: (bool) True if there is a breakout, otherwise false. breakdown(_barIndex)   Determines if there is a breakdown below the previous bar.   Parameters:      _barIndex (simple int) : (int) The index of the bar.   Returns: (bool) True if there is a breakdown, otherwise false. rejectionWickUpper(_rejectionWick)   Determines if the upper wick is a rejection wick.   Parameters:      _rejectionWick (simple float) : (float) The rejection wick percentage.   Returns: (bool) True if the upper wick is a rejection wick, otherwise false. rejectionWickLower(_rejectionWick)   Determines if the lower wick is a rejection wick.   Parameters:      _rejectionWick (simple float) : (float) The rejection wick percentage.   Returns: (bool) True if the lower wick is a rejection wick, otherwise false. setupDataVolume(_data, _mult_Low, _mult_High, _mult_Ultra, _maLengthVolume, _maTypeVolume)   Sets up data for volume levels.   Parameters:      _data (map) : (map) The map to store the levels.      _mult_Low (simple float) : (float) The multiplier for low level.      _mult_High (simple float) : (float) The multiplier for high level.      _mult_Ultra (simple float) : (float) The multiplier for ultra level.      _maLengthVolume (simple int) : (int) The length for MA.      _maTypeVolume (simple string) : (string) The type for MA.   Returns: (void) Nothing. setupDataSpread(_data, _mult_Low, _mult_High, _mult_Ultra, _maLengthSpread, _maTypeSpread)   Sets up data for spread levels.   Parameters:      _data (map) : (map) The map to store the levels.      _mult_Low (simple float) : (float) The multiplier for low level.      _mult_High (simple float) : (float) The multiplier for high level.      _mult_Ultra (simple float) : (float) The multiplier for ultra level.      _maLengthSpread (simple int) : (int) The length for MA.      _maTypeSpread (simple string) : (string) The type for MA.   Returns: (void) Nothing. setupDataForecastVolume(_dataForecast, _mult_Low, _mult_High, _mult_Ultra, _maLengthVolume, _predictedLevelVolume, _maTypeVolume)   Sets up data for volume and spread levels for forecast.   Parameters:      _dataForecast (map)      _mult_Low (simple float) : (float) The multiplier for low level.      _mult_High (simple float) : (float) The multiplier for high level.      _mult_Ultra (simple float) : (float) The multiplier for ultra level.      _maLengthVolume (simple int) : (int) The length for MA.      _predictedLevelVolume (float) : (float) The predicted level for MA.      _maTypeVolume (simple string) : (string) The type for MA.   Returns: (void) Nothing. setupDataForecastSpread(_dataForecast, _mult_Low, _mult_High, _mult_Ultra, _maLengthSpread, _predictedLevelSpread, _maTypeSpread)   Sets up data for spread levels for forecast.   Parameters:      _dataForecast (map)      _mult_Low (simple float) : (float) The multiplier for low level.      _mult_High (simple float) : (float) The multiplier for high level.      _mult_Ultra (simple float) : (float) The multiplier for ultra level.      _maLengthSpread (simple int) : (int) The length for MA.      _predictedLevelSpread (float) : (float) The predicted level for MA.      _maTypeSpread (simple string) : (string) The type for MA.   Returns: (void) Nothing. isVolumeLow(_data, _barIndex)   Determines if the volume is low.   Parameters:      _data (map) : (map) The data map with volume levels.      _barIndex (int)   Returns: (bool) True if the volume is low, otherwise false. isVolumeNormal(_data, _barIndex)   Determines if the volume is normal.   Parameters:      _data (map) : (map) The data map with volume levels.      _barIndex (int)   Returns: (bool) True if the volume is normal, otherwise false. isVolumeHigh(_data, _barIndex)   Determines if the volume is high.   Parameters:      _data (map) : (map) The data map with volume levels.      _barIndex (int)   Returns: (bool) True if the volume is high, otherwise false. isVolumeUltra(_data, _barIndex)   Determines if the volume is ultra.   Parameters:      _data (map) : (map) The data map with volume levels.      _barIndex (int)   Returns: (bool) True if the volume is ultra, otherwise false. isSpreadLow(_data, _barIndex)   Determines if the spread is low.   Parameters:      _data (map) : (map) The data map with spread levels.      _barIndex (int)   Returns: (bool) True if the spread is low, otherwise false. isSpreadNormal(_data, _barIndex)   Determines if the spread is normal.   Parameters:      _data (map) : (map) The data map with spread levels.      _barIndex (int)   Returns: (bool) True if the spread is normal, otherwise false. isSpreadHigh(_data, _barIndex)   Determines if the spread is high.   Parameters:      _data (map) : (map) The data map with spread levels.      _barIndex (int)   Returns: (bool) True if the spread is high, otherwise false. isSpreadUltra(_data, _barIndex)   Determines if the spread is ultra.   Parameters:      _data (map) : (map) The data map with spread levels.      _barIndex (int)   Returns: (bool) True if the spread is ultra, otherwise false. isVolumeText(_data)   Determines text string representing the volume area level.   Parameters:      _data (map) : (map) The data map with volume levels.   Returns: (string) Text string of Low, Normal, High, or Ultra. isSpreadText(_data)   Determines text string representing the spread area level.   Parameters:      _data (map) : (map) The data map with spread levels.   Returns: (string) Text string of Low, Normal, High, or Ultra. calcBarColor(_value, _level)   Calculates the color based level.   Parameters:      _value (float) : (float) The value to check.      _level (float) : (float) The value level for comparison.   Returns: (color) The color for the bar. bullPinBar(_maxBodyPercent, _minWickPercent)   Determines if the bar is a bull pin bar.   Parameters:      _maxBodyPercent (simple float) : (float) The maximum body percentage.      _minWickPercent (simple float) : (float) The minimum wick percentage.   Returns: (bool) True if the bar is a bull pin bar, otherwise false. bearPinBar(_maxBodyPercent, _minWickPercent)   Determines if the bar is a bear pin bar.   Parameters:      _maxBodyPercent (simple float) : (float) The maximum body percentage.      _minWickPercent (simple float) : (float) The minimum wick percentage.   Returns: (bool) True if the bar is a bear pin bar, otherwise false. dojiBar(_maxBodyPercent)   Determines if the bar is a doji.   Parameters:      _maxBodyPercent (simple float) : (float) The maximum body percentage.   Returns: (bool) True if the bar is a doji, otherwise false. spinningTopBar(_minWicksPercent, _emaLength)   Determines if the bar is a spinning top.   Parameters:      _minWicksPercent (simple float) : (float) The minimum wicks percentage.      _emaLength (simple int) : (int) The length for EMA calculation.   Returns: (bool) True if the bar is a spinning top, otherwise false. highWaveBar(_minBodyPercent, _minWickPercent, _bars)   Determines if the bar is a high wave bar.   Parameters:      _minBodyPercent (simple float) : (float) The minimum body percentage.      _minWickPercent (simple float) : (float) The minimum wick percentage.      _bars (simple int) : (int) The number of bars for comparison.   Returns: (bool) True if the bar is a high wave bar, otherwise false. consolidationBar(_data, _spread, _bars)   Determines if the bars are in consolidation.   Parameters:      _data (map) : (map) The data map with spread levels.      _spread (simple float) : (float) The spread percentage for comparison.      _bars (simple int) : (int) The number of bars for comparison.   Returns: (bool) True if the bars are in consolidation, otherwise false. S_DownThrust(_data, _bullPinBarMaxBody, _bullPinBarMinWick)   Determines if there is a sign of strength (DownThrust).   Parameters:      _data (map) : (map) The data map with volume and spread levels.      _bullPinBarMaxBody (simple float) : (float) The maximum body percentage for bull pin bar.      _bullPinBarMinWick (simple float) : (float) The minimum wick percentage for bull pin bar.   Returns: (bool) True if there is a sign of strength (DownThrust), otherwise false. S_SellingClimax(_data, _rejectionWick)   Determines if there is a sign of strength (Selling Climax).   Parameters:      _data (map) : (map) The data map with volume and spread levels.      _rejectionWick (simple float) : (float) The rejection wick percentage.   Returns: (bool) True if there is a sign of strength (Selling Climax), otherwise false. S_NoEffortBearishResult()   Determines if there is a sign of strength (No Effort Bearish Result).   Returns: (bool) True if there is a sign of strength (No Effort Bearish Result), otherwise false. S_BearishEffortNoResult()   Determines if there is a sign of strength (Bearish Effort No Result).   Returns: (bool) True if there is a sign of strength (Bearish Effort No Result), otherwise false. S_InverseDownThrust(_data, _bearPinBarMaxBody, _bearPinBarMinWick)   Determines if there is a sign of strength (Inverse DownThrust).   Parameters:      _data (map) : (map) The data map with volume and spread levels.      _bearPinBarMaxBody (simple float) : (float) The maximum body percentage for bear pin bar.      _bearPinBarMinWick (simple float) : (float) The minimum wick percentage for bear pin bar.   Returns: (bool) True if there is a sign of strength (Inverse DownThrust), otherwise false. S_FailedSellingClimax()   Determines if there is a sign of strength (Failed Selling Climax).   Returns: (bool) True if there is a sign of strength (Failed Selling Climax), otherwise false. S_BullOutsideReversal(_data)   Determines if there is a sign of strength (Bull Outside Reversal).   Parameters:      _data (map) : (map) The data map with volume and spread levels.   Returns: (bool) True if there is a sign of strength (Bull Outside Reversal), otherwise false. S_EndOfFallingMarket(_data)   Determines if there is a sign of strength (End of Falling Market).   Parameters:      _data (map) : (map) The data map with volume and spread levels.   Returns: (bool) True if there is a sign of strength (End of Falling Market), otherwise false. S_PseudoDownThrust(_bullPinBarMaxBody, _bullPinBarMinWick)   Determines if there is a sign of strength (Pseudo DownThrust).   Parameters:      _bullPinBarMaxBody (simple float) : (float) The maximum body percentage for bull pin bar.      _bullPinBarMinWick (simple float) : (float) The minimum wick percentage for bull pin bar.   Returns: (bool) True if there is a sign of strength (Pseudo DownThrust), otherwise false. S_NoSupply(_bullPinBarMaxBody, _bullPinBarMinWick)   Determines if there is a sign of strength (No Supply).   Parameters:      _bullPinBarMaxBody (simple float) : (float) The maximum body percentage for bull pin bar.      _bullPinBarMinWick (simple float) : (float) The minimum wick percentage for bull pin bar.   Returns: (bool) True if there is a sign of strength (No Supply), otherwise false. W_UpThrust(_data, _bearPinBarMaxBody, _bearPinBarMinWick)   Determines if there is a sign of weakness (UpThrust).   Parameters:      _data (map) : (map) The data map with volume and spread levels.      _bearPinBarMaxBody (simple float) : (float) The maximum body percentage for bear pin bar.      _bearPinBarMinWick (simple float) : (float) The minimum wick percentage for bear pin bar.   Returns: (bool) True if there is a sign of weakness (UpThrust), otherwise false. W_BuyingClimax(_data, _rejectionWick)   Determines if there is a sign of weakness (Buying Climax).   Parameters:      _data (map) : (map) The data map with volume and spread levels.      _rejectionWick (simple float) : (float) The rejection wick percentage.   Returns: (bool) True if there is a sign of weakness (Buying Climax), otherwise false. W_NoEffortBullishResult()   Determines if there is a sign of weakness (No Effort Bullish Result).   Returns: (bool) True if there is a sign of weakness (No Effort Bullish Result), otherwise false. W_BullishEffortNoResult()   Determines if there is a sign of weakness (Bullish Effort No Result).   Returns: (bool) True if there is a sign of weakness (Bullish Effort No Result), otherwise false. W_InverseUpThrust(_data, _bullPinBarMaxBody, _bullPinBarMinWick)   Determines if there is a sign of weakness (Inverse UpThrust).   Parameters:      _data (map) : (map) The data map with volume and spread levels.      _bullPinBarMaxBody (simple float) : (float) The maximum body percentage for bull pin bar.      _bullPinBarMinWick (simple float) : (float) The minimum wick percentage for bull pin bar.   Returns: (bool) True if there is a sign of weakness (Inverse UpThrust), otherwise false. W_FailedBuyingClimax()   Determines if there is a sign of weakness (Failed Buying Climax).   Returns: (bool) True if there is a sign of weakness (Failed Buying Climax), otherwise false. W_BearOutsideReversal(_data)   Determines if there is a sign of weakness (Bear Outside Reversal).   Parameters:      _data (map) : (map) The data map with volume and spread levels.   Returns: (bool) True if there is a sign of weakness (Bear Outside Reversal), otherwise false. W_EndOfRisingMarket(_data)   Determines if there is a sign of weakness (End of Rising Market).   Parameters:      _data (map) : (map) The data map with volume and spread levels.   Returns: (bool) True if there is a sign of weakness (End of Rising Market), otherwise false. W_PseudoUpThrust(_bearPinBarMaxBody, _bearPinBarMinWick)   Determines if there is a sign of weakness (Pseudo UpThrust).   Parameters:      _bearPinBarMaxBody (simple float) : (float) The maximum body percentage for bear pin bar.      _bearPinBarMinWick (simple float) : (float) The minimum wick percentage for bear pin bar.   Returns: (bool) True if there is a sign of weakness (Pseudo UpThrust), otherwise false. W_NoDemand(_bearPinBarMaxBody, _bearPinBarMinWick)   Determines if there is a sign of weakness (No Demand).   Parameters:      _bearPinBarMaxBody (simple float) : (float) The maximum body percentage for bear pin bar.      _bearPinBarMinWick (simple float) : (float) The minimum wick percentage for bear pin bar.   Returns: (bool) True if there is a sign of weakness (No Demand), otherwise false. N_QuietDoji(_dojiBarMaxBody)   Determines if there is a neutral signal (Quiet Doji).   Parameters:      _dojiBarMaxBody (simple float) : (float) The maximum body percentage for doji bar.   Returns: (bool) True if there is a neutral signal (Quiet Doji), otherwise false. N_BalancedDoji(_data, _dojiBarMaxBody)   Determines if there is a neutral signal (Balanced Doji).   Parameters:      _data (map) : (map) The data map with volume and spread levels.      _dojiBarMaxBody (simple float) : (float) The maximum body percentage for doji bar.   Returns: (bool) True if there is a neutral signal (Balanced Doji), otherwise false. N_StrongDoji(_dojiBarMaxBody)   Determines if there is a neutral signal (Strong Doji).   Parameters:      _dojiBarMaxBody (simple float) : (float) The maximum body percentage for doji bar.   Returns: (bool) True if there is a neutral signal (Strong Doji), otherwise false. N_QuietSpinningTop(_spinningTopBarMinWicks, _spinningTopBarEmaLength)   Determines if there is a neutral signal (Quiet Spinning Top).   Parameters:      _spinningTopBarMinWicks (simple float) : (float) The minimum wicks percentage for spinning top bar.      _spinningTopBarEmaLength (simple int) : (int) The length for EMA calculation.   Returns: (bool) True if there is a neutral signal (Quiet Spinning Top), otherwise false. N_BalancedSpinningTop(_data, _spinningTopBarMinWicks, _spinningTopBarEmaLength)   Determines if there is a neutral signal (Balanced Spinning Top).   Parameters:      _data (map) : (map) The data map with volume and spread levels.      _spinningTopBarMinWicks (simple float) : (float) The minimum wicks percentage for spinning top bar.      _spinningTopBarEmaLength (simple int) : (int) The length for EMA calculation.   Returns: (bool) True if there is a neutral signal (Balanced Spinning Top), otherwise false. N_StrongSpinningTop(_spinningTopBarMinWicks, _spinningTopBarEmaLength)   Determines if there is a neutral signal (Strong Spinning Top).   Parameters:      _spinningTopBarMinWicks (simple float) : (float) The minimum wicks percentage for spinning top bar.      _spinningTopBarEmaLength (simple int) : (int) The length for EMA calculation.   Returns: (bool) True if there is a neutral signal (Strong Spinning Top), otherwise false. N_QuietHighWave(_highWaveBarMinBody, _highWaveBarMinWick, _highWaveBarBars)   Determines if there is a neutral signal (Quiet High Wave).   Parameters:      _highWaveBarMinBody (simple float) : (float) The minimum body percentage for high wave bar.      _highWaveBarMinWick (simple float) : (float) The minimum wick percentage for high wave bar.      _highWaveBarBars (simple int) : (int) The number of bars for comparison.   Returns: (bool) True if there is a neutral signal (Quiet High Wave), otherwise false. N_BalancedHighWave(_data, _highWaveBarMinBody, _highWaveBarMinWick, _highWaveBarBars)   Determines if there is a neutral signal (Balanced High Wave).   Parameters:      _data (map) : (map) The data map with volume and spread levels.      _highWaveBarMinBody (simple float) : (float) The minimum body percentage for high wave bar.      _highWaveBarMinWick (simple float) : (float) The minimum wick percentage for high wave bar.      _highWaveBarBars (simple int) : (int) The number of bars for comparison.   Returns: (bool) True if there is a neutral signal (Balanced High Wave), otherwise false. N_StrongHighWave(_highWaveBarMinBody, _highWaveBarMinWick, _highWaveBarBars)   Determines if there is a neutral signal (Strong High Wave).   Parameters:      _highWaveBarMinBody (simple float) : (float) The minimum body percentage for high wave bar.      _highWaveBarMinWick (simple float) : (float) The minimum wick percentage for high wave bar.      _highWaveBarBars (simple int) : (int) The number of bars for comparison.   Returns: (bool) True if there is a neutral signal (Strong High Wave), otherwise false. N_Consolidation(_data, _consolidationBarSpread, _consolidationBarBars)   Determines if there is a neutral signal (Consolidation).   Parameters:      _data (map) : (map) The data map with volume and spread levels.      _consolidationBarSpread (simple float) : (float) The spread percentage for consolidation bar.      _consolidationBarBars (simple int) : (int) The number of bars for comparison.   Returns: (bool) True if there is a neutral signal (Consolidation), otherwise false.
ספריית Pine Script®
מאת ‎TanHef‎