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Session Breakout Detector (SBD)Overview: The Session Breakout Detector (SBD) is a TradingView indicator designed to identify and visualize breakouts from major trading sessions. It tracks a selected session (Tokyo, London, or New York) and detects price movements beyond the session's high or low, assisting traders in spotting potential breakout opportunities. Key Features: - Session Selection: Choose between Tokyo, London, or New York sessions. - Breakout Detection Modes: - Confirmed Bar: Detects breakouts when a candle closes beyond the session's range. - Intrabar: Detects breakouts as soon as the price exceeds the session's high or low within a candle. - Visual Indicators: - Displays session high, low, and range with a colored box for clear visualization. - Marks breakouts with green (bullish) or red (bearish) triangles. - Optional 50-Period SMA: Adds a 50-period Simple Moving Average to the chart for trend analysis. - Alerts: Configurable alerts for bullish and bearish breakouts. Usage Instructions: 1. Select Session: Choose the desired trading session (Tokyo, London, or New York) from the input settings. 2. Choose Breakout Detection Mode: Select between 'By confirmed bar' or 'By intrabars' based on your trading preference. 3. Enable SMA (Optional): Toggle the 'Use SMA?' option to display the 50-period Simple Moving Average. 4. Set Alerts: Configure alerts for breakout signals as per your trading strategy. ⚠️Note: This indicator is intended for informational purposes only and should not be construed as financial advice. Users are encouraged to conduct their own research and consider their individual risk tolerance before making trading decisions.
אינדיקטור Pine Script®
מאת ‎TheWaveHunter‎
Institutional Activity DetectorInstitutional Activity Detector - Complete Tutorial Table of Contents Installation Understanding the Indicator Signal Interpretation Settings Configuration Trading Strategies Best Practices Common Mistakes to Avoid 1. Installation {#installation} Step-by-Step Setup: Step 1: Access TradingView Go to TradingView.com Log in to your account (free account works fine) Step 2: Open Pine Editor Click on "Pine Editor" at the bottom of the chart If you don't see it, go to the top menu and select "Pine Editor" Step 3: Add the Script Click "New" to create a new indicator Delete any default code Copy the entire Institutional Activity Detector code Paste it into the editor Step 4: Save and Apply Click "Save" (give it a name like "Inst Detector") Click "Add to Chart" The indicator will now appear on your chart 2. Understanding the Indicator {#understanding} What It Detects: This indicator identifies institutional traders (banks, hedge funds, market makers) by analyzing: Volume Analysis Detects unusual volume spikes that indicate large players entering Compares current volume to 20-period average Institutional trades create volume 2-5x normal levels Order Flow Delta: Difference between buying and selling volume Positive delta = More buying pressure Negative delta = More selling pressure Institutions leave "footprints" in order flow Price Action Patterns Bullish Rejection Wicks: | <- Small upper wick | ███ <- Small body ███ | | | <- Large lower wick (rejection) Indicates institutions bought aggressively at lower prices Bearish Rejection Wicks: | | | <- Large upper wick (rejection) | ███ <- Small body ███ | <- Small lower wick Indicates institutions sold aggressively at higher prices Liquidity Grabs Institutions often: Push price above resistance or below support Trigger stop losses (grab liquidity) Reverse direction and trade the other way Dark Pool Activity Large block trades executed off-exchange: High volume with minimal price movement Indicates institutional accumulation/distribution without moving price 3. Signal Interpretation {#signals} Signal Types: 🟢 INSTITUTIONAL BUY Signal Appears as green triangle below candle with strength number (2-5) What it means: Institutions are actively accumulating (buying) Higher strength = More confirmation factors Strength Levels: 2-3: Moderate confidence - Wait for confirmation 4: High confidence - Strong institutional interest 5: Maximum confidence - Multiple factors aligned 🔴 INSTITUTIONAL SELL Signal Appears as red triangle above candle with strength number (2-5) What it means: Institutions are actively distributing (selling) Higher strength = More confirmation factors 🟠 Dark Pool (DP) Marker Small orange diamond What it means: Large block trade executed Accumulation/distribution happening quietly Often precedes significant moves Liquidity Zones Red boxes above price = Resistance/sell liquidity Green boxes below price = Support/buy liquidity Institutions target these zones to trigger stops 4. Settings Configuration {#settings} Recommended Settings by Asset Type: For Stocks (SPY, AAPL, TSLA): Volume Spike Multiplier: 2.0 Volume Average Period: 20 Delta Threshold: 70% Minimum Signal Strength: 3 Timeframe: 5m, 15m, 1H For Forex (EUR/USD, GBP/USD): Volume Spike Multiplier: 1.5 Volume Average Period: 30 Delta Threshold: 65% Minimum Signal Strength: 3 Timeframe: 15m, 1H, 4H For Crypto (BTC, ETH): Volume Spike Multiplier: 2.5 Volume Average Period: 20 Delta Threshold: 70% Minimum Signal Strength: 4 Timeframe: 15m, 1H, 4H For Futures (ES, NQ): Volume Spike Multiplier: 2.0 Volume Average Period: 20 Delta Threshold: 75% Minimum Signal Strength: 3 Timeframe: 5m, 15m, 30m Parameter Explanations: Volume Spike Multiplier (1.0 - 10.0) Lower = More sensitive (more signals, some false) Higher = Less sensitive (fewer signals, more reliable) Start with 2.0 and adjust based on your asset's volatility Delta Threshold % (50 - 100) Measures buying vs selling pressure 70% = Strong institutional bias required Lower for ranging markets, higher for trending Minimum Signal Strength (2 - 5) Number of factors that must align for a signal 2 = Very sensitive (many signals) 5 = Very conservative (rare signals) Recommended: 3-4 for balance 5. Trading Strategies {#strategies} Strategy 1: Liquidity Grab Reversal Setup: Price approaches a liquidity zone (green/red box) Price penetrates the zone briefly Institutional BUY/SELL signal appears Price reverses away from the zone Entry: Enter on the signal candle close Or wait for next candle confirmation Stop Loss: Below the liquidity grab low (for buys) Above the liquidity grab high (for sells) Take Profit: 2:1 or 3:1 risk/reward ratio Or next opposing liquidity zone Example: Price drops below support → Triggers stops → Institutional BUY signal (4-5 strength) → Enter LONG → Price rallies Strategy 2: Trend Continuation Setup: Identify the trend (higher highs/higher lows for uptrend) Wait for pullback to support in uptrend Institutional BUY signal appears during pullback Confirms institutions are adding to positions Entry: Enter on signal with strength ≥ 4 Or next candle after signal Stop Loss: Below the pullback low + small buffer Take Profit: Previous swing high Or trailing stop using ATR Strategy 3: Dark Pool Accumulation Setup: Dark Pool (DP) markers appear multiple times Price consolidates in tight range Institutional BUY signal with high strength appears Breakout occurs Entry: Enter on breakout candle after signal Or on retest of breakout level Stop Loss: Below consolidation range Take Profit: Measured move (height of consolidation projected) Strategy 4: Divergence Play Setup: Price makes lower low MFI/RSI makes higher low (bullish divergence) Institutional BUY signal appears Volume confirms with spike Entry: Enter on signal candle or next Stop Loss: Below the divergence low Take Profit: Previous swing high or resistance 6. Best Practices {#best-practices} ✅ DO's: 1. Use Multiple Timeframes Check higher timeframe for trend direction Trade signals that align with higher timeframe Example: 15m signals in direction of 1H trend 2. Combine with Key Levels Support/resistance Supply/demand zones Previous day high/low Round numbers (psychological levels) 3. Wait for Confirmation Don't rush into trades Let the signal candle close Watch next candle for follow-through 4. Check the Metrics Table Look at Relative Volume (should be >2.0) Check Delta % (should be strong positive/negative) Verify Order Flow aligns with signal 5. Consider Market Context News events can override signals Low liquidity times (lunch, overnight) less reliable Major economic releases need caution 6. Paper Trade First Test the indicator for 2-4 weeks Learn how it behaves on your chosen assets Develop confidence before using real money Best Times to Trade: Stock Market Hours: 9:30-11:30 AM EST (high volume, strong moves) 2:00-4:00 PM EST (institutional positioning) Avoid: 11:30 AM-2:00 PM (lunch, low volume) Forex: London Open: 3:00-6:00 AM EST New York Open: 8:00-11:00 AM EST London/NY Overlap: 8:00 AM-12:00 PM EST Crypto: 24/7 market, but highest volume during US/European hours Watch for weekend low liquidity 7. Common Mistakes to Avoid {#mistakes} ❌ DON'T: 1. Trade Every Signal Not all signals are equal Focus on strength 4-5 signals Wait for optimal setups 2. Ignore Market Structure Don't buy into strong downtrends (catch falling knife) Don't sell into strong uptrends (fight the tape) Respect major support/resistance 3. Use Too Small Timeframes 1m and 2m charts are too noisy Minimum recommended: 5m for scalping Better: 15m, 30m, 1H for reliability 4. Overtrade Quality over quantity 2-5 good trades per day is excellent Forcing trades leads to losses 5. Ignore Risk Management Always use stop losses Risk only 1-2% per trade Don't revenge trade after losses 6. Trade During Low Volume Signals less reliable with low volume Check Relative Volume metric (should be >1.5) Avoid pre-market/after-hours for stocks 7. Misread Liquidity Grabs Not every wick is a liquidity grab Need volume confirmation Must have institutional signal Advanced Tips: Filtering False Signals: Use Signal Strength Filter: Minimum strength 3 = Balanced Minimum strength 4 = Conservative (recommended) Minimum strength 5 = Ultra conservative Confluence Checklist: Signal strength ≥ 4 Relative volume > 2.0 At key support/resistance Aligns with higher timeframe trend Delta % strongly positive/negative Clean price action setup If 4+ boxes checked = High probability trade Setting Up Alerts: Click the three dots on the indicator Select "Create Alert" Choose condition: "Institutional Buy Signal" "Institutional Sell Signal" "Dark Pool Activity" Set up notification (email, SMS, app) Save alert Alert Strategy: Set minimum strength to 4 for fewer, better alerts Use for assets you can't watch constantly Don't rely solely on alerts - check chart context Practice Exercise: Week 1-2: Observation Add indicator to your favorite assets Watch how signals develop Note which ones lead to profitable moves Don't trade yet - just observe Week 3-4: Paper Trading Use TradingView's paper trading Trade only strength 4-5 signals Record results in a journal Note: entry, exit, profit/loss, what worked/didn't Week 5+: Small Live Positions Start with smallest position size Trade only your best setups Gradually increase size as you gain confidence Keep detailed journal Quick Reference Card: Signal Quality Ranking: 🔥 Best Setups (Take These): Strength 5 + Liquidity grab + Key level Strength 4-5 + Volume >3.0 + Trend alignment Dark Pool markers + Strength 4+ signal ✅ Good Setups: Strength 4 at support/resistance Strength 3-4 with strong delta Liquidity grab + Strength 3+ ⚠️ Caution (Wait for More): Strength 2-3 in middle of nowhere Against higher timeframe trend Low volume (Rel Vol <1.5) ❌ Avoid: Strength 2 only During major news Low liquidity hours Against strong trend Troubleshooting: "Too many signals" → Increase Minimum Signal Strength to 4 → Increase Volume Spike Multiplier to 2.5-3.0 "Too few signals" → Decrease Minimum Signal Strength to 2-3 → Decrease Volume Spike Multiplier to 1.5 "Signals not working" → Check if you're trading during low volume hours → Verify you're using recommended timeframes → Make sure signals align with market structure "Can't see liquidity zones" → Enable "Show Liquidity Zones" in settings → Adjust Swing Detection Length (try 7-15) Resources for Further Learning: Concepts to Study: Order Flow Trading Market Profile / Volume Profile Smart Money Concepts (SMC) Liquidity Sweeps and Stop Hunts Institutional Order Flow Wyckoff Method Volume Spread Analysis (VSA) Recommended Practice: Study past signals on chart Replay market using TradingView's bar replay feature Join trading communities to share setups Keep a detailed trading journal Final Thoughts: This indicator is a tool, not a crystal ball. It identifies high-probability setups where institutions are active, but still requires: Proper risk management Market context understanding Patience and discipline Continuous learning Success Formula: Right Tool + Proper Training + Risk Management + Discipline = Consistent Profits Start slow, master the basics, and gradually increase complexity as you gain experience. Good luck and trade smart! 📊📈
אינדיקטור Pine Script®
מאת ‎lohanineeraj‎
Camarilla Pivots + 20 EMA StrategyThis is an intraday volatility and trend-following system for commodities like Natural Gas, combining dynamic pivot levels (Camarilla) with a trend filter (20-period EMA) to improve risk-reward and reduce false breakouts. Core Components 1. Camarilla Pivots: These are special support and resistance levels (H3, H4, L3, L4) calculated each day based on the previous day's high, low, and close. The pivots adapt to daily volatility, giving more relevant breakout and bounce zones than static lines. H4: Aggressive resistance (used for breakout LONG entry) H3: Moderate resistance/support (used for bounce or stoploss) L4: Aggressive support (used for breakout SHORT entry) L3: Moderate support/resistance (used for bounce or stoploss) 2. 20 EMA (Exponential Moving Average): Plotted on the 30-minute chart, this acts as a trend filter. If the price is above 20 EMA: Only look for long trades (bullish bias). If below 20 EMA: Only look for short trades (bearish bias). How the Strategy Works Setup (30-Min Chart): Camarilla pivots for the day are drawn on the chart. 20 EMA is also plotted. Trade Filter: Bullish: Trade ONLY if price is above 20 EMA. Bearish: Trade ONLY if price is below 20 EMA. Entry: LONG: Enter when price breaks and closes above the H4 pivot AND is above 20 EMA. SHORT: Enter when price breaks and closes below the L4 pivot AND is below 20 EMA. Stop Loss: LONG: Place stoploss at H3 (the next lower Camarilla resistance). SHORT: Place stoploss at L3 (the next higher Camarilla support). Target: Always set a profit target at 2x the distance (risk) between entry and stoploss (strict R:R 2). For example, if your entry is at H4 and stoploss at H3, your target is entry + 2*(entry - stoploss). Alerts & Visuals: The strategy plots entry arrows, stoploss and target lines for immediate visual reference. Alerts trigger on breakout signals so you never miss a trade. Why This Works Well for Natural Gas Adapts to volatility: The pivots change daily, handling wide-ranging and choppy price moves better than fixed breakouts. Trend filter: EMA prevents counter-trend whipsaws, only trades with market momentum. Risk control: Every trade must meet strict risk-reward criteria, so losses are contained and winners can outweigh losers.
אסטרטגיית Pine Script®
מאת ‎vinaygaur97‎
LA - MACD EMA BandsOverview of the "LA - MACD EMA Bands" Indicator For Better view, use this indicator along with "LA - EMA Bands with MTF Dashboard" The "LA - MACD EMA Bands" is a custom technical indicator written in Pine Script v6 for TradingView. It builds on the traditional Moving Average Convergence Divergence (MACD) oscillator by incorporating additional smoothing via Exponential Moving Averages (EMAs) and Bollinger Bands (BB) applied directly to the MACD line. This creates a multi-layered momentum and volatility tool displayed in a separate pane below the price chart (not overlaid on the price itself). The indicator allows for customization, such as selecting a different timeframe (for multi-timeframe analysis) and adjusting period lengths. It fetches data from the specified timeframe using request.security with lookahead enabled to avoid repainting issues. The core idea is to provide insights into momentum trends, crossovers, and volatility expansions/contractions in the MACD's behavior, making it suitable for identifying potential trend reversals, continuations, or ranging markets. Unlike a standard MACD, which focuses primarily on momentum via a single line, signal line, and histogram, this version emphasizes longer-term smoothing and volatility boundaries. It uses visual fills between lines to highlight bullish/bearish conditions, aiding quick interpretation. Below, I'll break down each component, its calculation, visual representation, and practical uses. Detailed Breakdown of Each Component and Its Uses MACD Line (Blue Line, Labeled 'MACD Line') Calculation: This is the core MACD value, computed as the difference between a fast EMA (default length 12) and a slow EMA (default length 144) of the input source (default: close price). The EMAs are calculated on data from the selected timeframe. Visuals: Plotted as a solid blue line. Uses: Measures momentum: When above zero, it indicates bullish momentum (prices rising faster in the short term); below zero, bearish momentum. Trend identification: Rising MACD suggests strengthening uptrends; falling suggests downtrends. Divergence spotting: Compare with price action—e.g., if price makes higher highs but MACD makes lower highs, it signals potential bearish reversal (and vice versa for bullish divergence). In trading: Often used for entry/exit signals when crossing the zero line or other lines in the indicator. MACD EMA (Red Line, Labeled 'MACD EMA') Calculation: A 12-period EMA applied to the MACD Line itself. Visuals: Plotted as a solid red line. Uses: Acts as a signal line for the MACD, smoothing out short-term noise. Crossover signals: When the MACD Line crosses above the MACD EMA, it can signal a bullish buy opportunity; crossing below suggests a bearish sell. Trend confirmation: Helps filter false signals in choppy markets by requiring confirmation from this slower-moving average. In trading: Useful for momentum-based strategies, like entering trades on crossovers in alignment with the overall trend. Fill Between MACD Line and MACD EMA (Green/Red Shaded Area, Titled 'MACD Fill') Calculation: The area between the MACD Line and MACD EMA is filled with color based on their relative positions. Color Logic: Green (with 57% transparency) if MACD Line > MACD EMA (bullish); red if MACD Line < MACD EMA (bearish). Visuals: Semi-transparent fill for easy visibility without overwhelming the lines. Uses: Quick visual cue for momentum shifts: Green areas highlight bullish phases; red for bearish. Enhances readability: Makes crossovers more apparent at a glance, especially in fast-moving markets. In trading: Can be used to time entries/exits or as a filter (e.g., only take long trades in green zones). Bollinger Bands on MACD (BB Upper: Black Dotted, BB Basis: Maroon Dotted, BB Lower: Black Dotted) Calculation: Bollinger Bands applied to the MACD Line. BB Basis: 144-period EMA of the MACD Line. BB Standard Deviation: 144-period stdev of the MACD Line. BB Upper: BB Basis + (2.0 * BB Stdev) BB Lower: BB Basis - (2.0 * BB Stdev) Visuals: Upper and lower bands as black dotted lines; basis as maroon dotted Uses: Volatility measurement: Bands expand during high momentum volatility (strong trends) and contract during low volatility (ranging or consolidation). Mean reversion: When MACD Line touches or exceeds the upper band, it may signal overbought conditions (potential sell); lower band for oversold (potential buy). Squeeze detection: Narrow bands (squeeze) often precede big moves—watch for breakouts. In trading: Combines momentum with volatility; e.g., a MACD Line breakout above the upper band could confirm a strong uptrend. BB Basis EMA (Green Line, Labeled 'BB Basis EMA') Calculation: A 72-period EMA applied to the BB Basis (which is already a 144-period EMA of the MACD Line). Visuals: Solid green line. Uses: Further smoothing: Provides a longer-term view of the MACD's average behavior, reducing noise from the BB Basis. Trend direction: Acts as a baseline for the BB system—above it suggests bullish bias in momentum volatility; below, bearish. Crossover with BB Basis: Can signal shifts in volatility trends (e.g., BB Basis crossing above BB Basis EMA indicates increasing bullish volatility). In trading: Useful for confirming longer-term trends or as a filter for BB-based signals. Fill Between BB Basis and BB Basis EMA (Gray Shaded Area, Titled 'BB Basis Fill') Calculation: The area between BB Basis and BB Basis EMA is filled. Color Logic: Currently set to a constant semi-transparent gray regardless of position. Visuals: Semi-transparent gray fill. Uses: Highlights divergence: Shows when the shorter-term BB Basis deviates from its longer-term EMA, indicating potential volatility shifts. Visual aid for crossovers: Makes it easier to spot when BB Basis crosses its EMA. In trading: Could be used to identify overextensions in volatility (e.g., wide gray areas might signal impending mean reversion). Zero Line (Black Horizontal Line) Calculation: A simple horizontal line at y=0. Visuals: Solid black line. Uses: Reference point: Divides bullish (above) from bearish (below) territory for all MACD-related lines. In trading: Crossovers of the zero line by the MACD Line or BB Basis can signal major trend changes. How It Differs from a Normal MACD A standard MACD (e.g., the built-in TradingView MACD with defaults 12/26/9) consists of: MACD Line: EMA(12) - EMA(26). Signal Line: EMA(MACD Line, 9). Histogram: MACD Line - Signal Line (bars showing convergence/divergence). Key differences in "LA - MACD EMA Bands": Periods: Uses a much longer slow EMA (144 vs. 26), making it more sensitive to long-term trends but less reactive to short-term price action. The MACD EMA is 12 periods (vs. 9), further emphasizing smoothing. No Histogram: Replaces the histogram with fills and bands for visual emphasis on crossovers and volatility. Added Bollinger Bands: Applies BB directly to the MACD Line (with a long 144-period basis), introducing volatility analysis absent in standard MACD. This helps detect "squeezes" or expansions in momentum. Additional EMA Layer: The BB Basis EMA (72-period) adds a secondary smoothing level to the BB system, providing a hierarchical view of momentum (short-term MACD → mid-term BB → long-term EMA). Multi-Timeframe Support: Built-in option for higher timeframes, unlike basic MACD. Focus: Standard MACD is purely momentum-focused; this version integrates volatility (via BB) and multi-layer smoothing, making it better for trend-following in volatile markets but potentially overwhelming for beginners. Overall, this indicator transforms the MACD from a simple oscillator into a comprehensive momentum-volatility hybrid, reducing false signals in trending markets but introducing lag. Overall Pros and Cons Pros: Enhanced Visualization: Fills and bands make trends, crossovers, and volatility easier to spot without needing multiple indicators. Reduced Noise: Longer periods (144, 72) smooth out whipsaws, ideal for swing or position trading in trending assets like stocks or forex. Volatility Integration: BB adds a dimension not in standard MACD, helping identify breakouts or consolidations. Customizable: Inputs for timeframes and lengths allow adaptation to different assets/timeframes. Multi-Layered Insights: Combines short-term signals (MACD crossovers) with long-term confirmation (BB EMA), improving signal reliability. Cons: Lagging Nature: Long periods (e.g., 144) delay signals, missing early entries in fast markets or leading to late exits. Complexity: Multiple lines and fills can clutter the pane, requiring experience to interpret; beginners might misread it. Potential Overfitting: Custom periods (12/144/12/144/72) may work well on historical data but underperform in live trading without backtesting. No Built-in Alerts/Signals: Relies on visual interpretation; users must manually set alerts for crossovers. Resource Intensive: On lower timeframes or with lookahead, it might slow chart loading on Trading View. This indicator shines in strategies combining momentum and volatility, like trend-following with BB squeezes, but test it on your assets (e.g., via backtesting) to ensure it fits your style. For Better view, use this indicator along with "LA - EMA Bands with MTF Dashboard"
אינדיקטור Pine Script®
מאת ‎aravindleo_99‎
LA - EMA Bands with MTF DashboardDetailed Explanation of the LA - EMA Bands with MTF Dashboard Indicator This custom Pine Script v6 indicator, designed for Trading View, overlays EMA-based price channels on the chart while incorporating a multi-timeframe (MTF) dashboard for broader market context. It focuses on visualizing trend direction and momentum through three sets of EMA bands, each representing different time horizons, and extends this with a tabular dashboard that summarizes signals across user-selected timeframes. The bands help identify support, resistance, and trend shifts, while the dashboard provides at-a-glance alignment across multiple periods, aiding in confirming trades or spotting divergences. Unlike volatility-based channels (e.g., Bollinger or Keltner), it relies solely on EMAs for simplicity and lag-reduced responsiveness. Inputs Section The script begins with user-configurable options grouped for ease. A timeframe input allows specifying a resolution for the EMA bands' data fetching, defaulting to the chart's timeframe if left empty—this enables higher-timeframe overlays on lower charts for context. Next, a shared source input defines the price data for all midlines, defaulting to the midpoint of high and low (hl2) but customizable to close, open, or others. The EMA bands have dedicated toggles and length inputs for each of the three sets: the first (long-term) defaults to 144 periods, the second (medium-term) to 72, and the third (short-term) to 12. These are inlined for compact settings panels, with minimum lengths of 1 to prevent errors. A boolean toggle controls the visibility of the MTF dashboard. Following this are nine pairs of inputs for dashboard timeframes: each pair includes a show/hide toggle and an editable timeframe string (e.g., '1' for 1-minute, 'D' for daily). Defaults progress from short (1, 3, 5 minutes) to longer (15, 30, 60 minutes, daily, weekly, monthly), grouped in inlines for organization. Only enabled and non-empty timeframes appear in the dashboard. Helpers Section Two utility functions are defined here. The first computes an EMA on any source series over a specified length using Trading View's built-in function, reused throughout for midlines and bands. The second function generates a signal string ("B" for buy/bullish, "S" for sell/bearish, or "-" for neutral) based on the direction of an EMA applied to high prices. It compares the current EMA value to the previous one, mirroring the band fill logic for consistency in the dashboard. Core Components per Band Set: Midline: An EMA calculated on a user-selectable source price (default: hl2, which is the midpoint between high and low prices). This acts as the central trend line. Upper Band: An EMA applied directly to the high prices of each bar. Lower Band: An EMA applied to the low prices of each bar. These form a channel that captures the smoothed range of price action, highlighting potential support (lower band), resistance (upper band), and overall trend direction (midline). Multiple Band Sets: The indicator includes three independent EMA band sets, each with its own length parameter for customization: EMA1 (default length: 144) – Focuses on long-term trends. EMA2 (default length: 72) – Targets medium-term trends. EMA3 (default length: 12) – Emphasizes short-term momentum. Each set can be toggled on or off via input checkboxes, allowing users to reduce chart clutter if needed. Visual Elements: Midline Plot: Displayed as a line colored based on its direction compared to the previous bar: green for rising (bullish), red for falling (bearish), and black for neutral (flat). Band Fill: The area between the upper and lower bands is filled with a semi-transparent color indicating the trend of the upper band: light green for rising (suggesting expanding highs/upward momentum) and light pink for falling (contracting highs/downward pressure). The bands themselves are plotted in blue with a thin linewidth. Multi-Timeframe Support: Users can input a custom timeframe (e.g., 'D' for daily), and the indicator fetches data from that resolution. This enables higher-timeframe context on lower-timeframe charts, such as viewing daily EMA bands on a 1-hour chart. Calculation Mechanics: All EMAs are computed using Trading View's built-in ta.ema() function. Data is retrieved in a single request.security() call for efficiency, with lookahead enabled to avoid repainting. No multipliers or volatility adjustments are included, making it a simple EMA-based envelope rather than a true volatility channel. In practice, this indicator helps traders identify trend strength, potential breakouts (price crossing bands), or mean-reversion opportunities (price bouncing within bands). It's particularly useful for swing or position trading where multi-period alignment (e.g., all midlines green) signals conviction. Pros Multi-Period Insight: By combining short (12), medium (72), and long (144) periods, it offers a layered view of trends across time horizons, helping confirm alignments or divergences without needing multiple separate indicators. Visual Clarity: Color-coded trends and fills make it easy to spot bullish/bearish shifts at a glance, reducing analysis time. Flexibility: Custom timeframe input allows for multi-timeframe analysis, while shared source and toggles provide user control. Simplicity and Efficiency: Purely EMA-based, it's computationally light and avoids overcomplication, making it accessible for beginners while still useful for spotting channel-based setups like squeezes or expansions. No Repainting: With lookahead, plots are stable once bars close. Cons Lagging Nature: EMAs inherently lag price action, especially longer ones like 144-period, which may cause delayed signals in fast-moving or ranging markets. Lack of Volatility Adjustment: Unlike Keltner Channels or Bollinger Bands, it doesn't incorporate ATR or standard deviation, so bands may not accurately reflect true volatility—potentially leading to false breakouts in high-volatility environments. Chart Clutter: Displaying all three band sets simultaneously can overcrowd the chart, particularly on lower timeframes or volatile assets. Subjective Interpretation: Color changes and band interactions require trader discretion; there's no built-in alerting or quantitative signals, which might lead to inconsistent results. Market Dependency: Defaults may not suit all assets (e.g., stocks vs. crypto); shorter periods like 12 could whipsaw in noisy markets, while 144 might be too slow for intraday trading. Justification for Default Values (12, 72, and 144) The default lengths of 12, 72, and 144 are not arbitrary but draw from established trading principles, particularly W.D. Gann's geometric and numerical theories, as well as Fibonacci sequences, to create a harmonic progression for short-, medium-, and long-term analysis. Here's the rationale: 12 (Short-Term): This is a common period for capturing recent momentum in technical indicators, often seen in setups like the MACD (which uses 12- and 26-day EMAs). It aligns with natural cycles, such as the 12 months in a year, and in Gann theory, 12 serves as a base unit for squaring price and time (e.g., in the "Square of 12" where multiples like 12, 24, etc., measure cycles in days, weeks, or months). At 12 periods, the EMA reacts quickly to price changes without excessive noise, making it ideal for short-term trend detection. 72 (Medium-Term): This acts as an intermediate bridge, derived from Gann's divisions of the 360-degree circle (a key Gann concept representing a full cycle). Specifically, 72 is 360/5 (relating to pentagonal geometry and natural harmonics) and appears in Gann's time cycle measurements (e.g., as a multiple in the Square of 12: 12×6=72). It's roughly half of 144, providing a balanced midpoint for medium-term trends without overlapping too closely with the others. In practice, 72 periods smooth out short-term fluctuations while still responding to developing trends. 144 (Long-Term): This is a powerhouse number in trading lore, being both 12 squared (12×12=144, central to Gann's "Square of 144" for monthly charts and major cycle turns, as there are 12 months in a year) and a Fibonacci sequence value (1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144...). Fibonacci periods are popular in moving averages for their alignment with natural growth patterns in markets, and 144 is often used for long-term regime definition (e.g., confirming trends over 144 bars). It helps identify major support/resistance in extended cycles. Overall, these values form a geometric/harmonic series (12, 72=12×6, 144=12×12), promoting alignment with market cycles as per Gann and Fibonacci principles, rather than generic lengths like 50 or 200. They can be adjusted based on the asset or timeframe, but the defaults provide a starting point rooted in time-tested trading numerology for balanced multi-period analysis. Please use this along with other indicators (eg. Pivot, MACD, etc) for better results.
אינדיקטור Pine Script®
מאת ‎aravindleo_99‎
Market Pressure Differential (MPD) [SharpStrat]Market Pressure Differential (MPD) Concept & Purpose The Market Pressure Differential (MPD) is a proprietary indicator designed to measure the internal balance of buying and selling pressure directly on the price chart. Unlike standard momentum or trend indicators, MPD analyzes the structural behavior of each candle—its body, wicks, and overall range—to determine whether the market is dominated by expansion (buying aggression) or contraction (selling absorption). This indicator provides a visual overlay of market pressure that adapts dynamically to volatility, helping traders see real-time shifts in participation intensity without using oscillators. In simple terms: When MPD expands upward → buyer pressure dominates. When MPD contracts downward → seller pressure dominates. Calculation Overview MPD uses a structural candle formula to compute directional pressure: Body Ratio = (Close − Open) / (High − Low) Wick Differential = (Lower Wick − Upper Wick) / (High − Low) Raw Pressure = (Body Ratio × Body Weight) + (Wick Differential × Wick Weight) Then it applies: EMA smoothing (to stabilize short-term noise) Standard deviation normalization (to maintain consistent scaling) ATR projection (to adapt the signal visually to volatility) This produces the MPD projection line and the pressure ribbon, drawn directly on the main chart. Customizable Inputs Users can adjust color schemes, EMA smoothing length, ATR parameters, normalization length, and body/wick weighting to adapt the indicator’s sensitivity and aesthetic to different markets or chart themes. How to Use The Market Pressure Differential (MPD) visualizes the real-time balance between buying and selling pressure. It should be used as a contextual bias tool, not a standalone signal generator. The white line represents the MPD projection, showing how market pressure evolves in real time based on candle structure and volatility. The red line represents the ATR envelope, which defines the market’s expected volatility range. MPD reacts quickly to candle structure, so trend bias is based on how its projection behaves relative to the ATR envelope: Above the ATR band → positive pressure and bullish bias. Below the ATR band → negative pressure and bearish bias. Hovering near the ATR band → neutral or indecisive conditions. The MPD percentage in the label represents the normalized strength of pressure relative to recent volatility. Positive % = buying dominance. Negative % = selling dominance. Higher absolute values = stronger momentum compared to volatility. To trade with MPD: Watch candle colors and the projection line — green or positive % shows buyer control, red or negative % shows seller control. Note transitions above or below the ATR level for early signs of momentum shifts. Combine MPD signals with price structure, key levels, or volume for confirmation. This helps reveal which side controls the market and whether that pressure is strong enough to overcome typical volatility. Disclaimer It introduces a novel structural–pressure approach to visualizing market dynamics. For educational and analytical purposes only; this does not constitute financial advice.
אינדיקטור Pine Script®
מאת ‎SharpStrat‎
Gho$t EMA CloudSimple 9/14EMA With Cloud system. Ghost EMA Cloud is a clean, minimal trend-tracking indicator designed to visualize short-term momentum shifts. It plots the 9-EMA (gray) and 14-EMA (white) while shading the area between them with dynamic cloud colors — green when momentum turns bullish, red when it weakens. The smooth cloud instantly highlights crossovers that often precede breakout or reversal moves. Optional 5-EMA and 12-EMA layers can be toggled on for extra precision without cluttering the chart. Ideal for intraday and swing traders, Ghost EMA Cloud helps you confirm entries, spot trend continuations, and time exits with clear visual simplicity and speed.
אינדיקטור Pine Script®
מאת ‎Ghostmlt‎
MA Paketi This advanced MA & ATR Channel Indicator allows you to monitor both short-term and long-term trends on the same chart. The script includes 9, 21, 50, 100, and 200-period moving averages (MAs) and also lets you add a custom MA of your choice. Around the 200 MA, a ±6 ATR channel dynamically defines volatility-based support and resistance zones. Key Features: 🔹 Five classic MAs (9, 21, 50, 100, 200) 🔹 User-defined custom MA (SMA, EMA, WMA, RMA, HMA options) 🔹 MA200-centered ±ATR channel (fully adjustable multiplier and period) 🔹 ATR-based dynamic volatility band 🔹 Alert conditions (notifies when price breaks above or below the channel) 🔹 Clean, colorful, and professional visual design This indicator helps you analyze trend direction, momentum shifts, and volatility-driven reversal zones simultaneously. Perfect for swing, scalp, and position traders alike.
אינדיקטור Pine Script®
מאת ‎deeparanoya1‎
CVD Pro – Smart Overlay + Signals (with Persist Mode)What this Indicator Does CVD Pro visualizes Cumulative Volume Delta (CVD) data directly on your main price chart — helping you detect real buying vs. selling pressure in real time. Unlike most CVD scripts that run in a separate subwindow, this one overlays price-mapped CVD curves on the candles themselves for better confluence with market structure and FVG zones. The script dynamically scales normalized CVD values to the price range and uses adaptive smoothing and deviation bands to highlight shifts in trader behavior. It also includes automatic bullish/bearish crossover signals, displayed as on-chart labels. ⚙️ Main Features ✅ Price-mapped CVD Overlay CVD is normalized (Z-score) and projected onto the price chart for easy visual correlation with price structure. ✅ Multi-Timeframe Presets Three sensitivity presets optimized for different chart environments: Strict (4H) → Best for macro trends and high-timeframe structure. Balanced (1H / 30m) → Great for active swing setups. Sensitive (15m) → Captures short-term intraday reversals. ✅ Dynamic Bands & Smoothing Deviation bands visualize statistical extremes in delta pressure — helping to identify exhaustion and divergence points. ✅ Smart Buy/Sell Signal Logic Automatic label triggers when the CVD Overlay crosses its smoothed baseline: 🟢 BULL LONG → Rising CVD above the mean (buyers in control). 🔴 BEAR SHORT → Falling CVD below the mean (sellers in control). ✅ Persist Mode Toggle to keep the last signal visible until a new one forms — ideal for traders who prefer clean chart annotations without noise. ✅ Clean, Minimal Overlay Everything happens directly on your chart — no extra windows, no clutter. Designed for use with Smart Money Concepts, Fair Value Gaps (FVGs), or volume imbalance setups. 🧩 Use Case CVD Pro is designed for traders who: Use Smart Money Concepts (SMC) or ICT-style trading Watch for FVG reactions, breaker blocks, and liquidity sweeps Need to confirm order flow direction or momentum strength Trade intraday or swing setups with precision entries and clear bias confirmation ⚡ Recommended Settings 4H / 1H: Use Strict mode for major structure and confirmation. 1H / 30m: Balanced mode for clear mid-term trend alignment. 15m: Sensitive mode to catch scalps and lower-TF shifts. 🧠 Pro Tips Combine with RSI or Market Structure Breaks (MSS) for additional confluence. A strong CVD divergence near a key FVG or 0.5–0.705 Fibonacci zone often signals reversal. Persistent CVD crossover + price structure break = high-probability entry. 🧩 Credits Created by Patrick S. ("Nova Labs") Concept inspired by professional order-flow analytics and adaptive Z-Score normalization. Would you like me to write a shorter “public summary” paragraph (for the short description at the top of TradingView, the one-liner users see before expanding)? It’s usually a 2–3 sentence hook like: “Overlay-based CVD indicator that merges volume delta with price structure. Detect true buying/selling pressure using adaptive normalization, deviation bands, and clean bullish/bearish crossover signals.”
אינדיקטור Pine Script®
מאת ‎ironman15_37‎
CloudShiftCloudShift + Bollinger Bands This version of CloudShift now includes fully optimized Bollinger Bands with all three dynamic lines: Upper Band: Highlights expansion during volatility spikes. Lower Band: Identifies compression and accumulation zones. Centerline (Basis): A smooth reference of the moving average, providing better visual balance and directional context. The bands are drawn with thin, clean lime lines, designed to integrate perfectly with the cloud logic — keeping your chart minimalist yet powerful. This update enhances the CloudShift indicator by providing a clear visual framework of market volatility and structure without altering its original logic. Recommended for use on: NASDAQ, S&P 500, and other high-volatility futures. Recommended timeframe: 5–15 minutes.
אינדיקטור Pine Script®
מאת ‎THEGREATNAPLESTRADERX‎
Multi-Signal IndikatorHier ist eine professionelle Beschreibung für deinen Indikator auf Englisch: Multi-Signal Trading Indicator - Complete Market Analysis This comprehensive trading indicator combines multiple technical analysis tools into one powerful dashboard, providing traders with all essential market information at a glance. Key Features: Trend Analysis: Three EMAs (9, 21, 50) with automatic trend detection and Golden/Death Cross signals Momentum Indicators: RSI with overbought/oversold zones and visual alerts Trend Strength: ADX indicator with DI+ and DI- showing the power of bullish and bearish movements Market Fear Gauge: VIX (Volatility Index) integration displaying market sentiment from calm to panic levels Volume Confirmation: Smart volume analysis comparing current activity against 20-period average Support & Resistance: Automatic pivot point detection with dynamic S/R lines Buy/Sell Signals: Combined signals only trigger when trend, RSI, and volume align perfectly Visual Dashboard: Color-coded info panel showing all metrics in real-time with intuitive emoji indicators Perfect for: Day traders, swing traders, and investors who want a complete market overview without cluttering their charts with multiple indicators. Customizable settings allow you to adjust all parameters to match your trading style.
אינדיקטור Pine Script®
מאת ‎dantomann‎
Position Size Calculator — classic + ATR% (Ostin V.)Position Size Calculator — classic + ATR% (stable) A clean and reliable position size calculator for swing and day traders. Perfect for crypto markets and volatility-based risk management. 📊 Features: Calculates position size based on risk ($ or %). Displays risk/reward ratio (RR), stop distance, and position value. Measures daily volatility (ATR%) to help adjust stop-loss levels. Includes a tip for optimal stop width: SL ≥ 1.0–1.5 × ATR%. Minimal and stable design — no chart clutter, no extra lines. ⚙️ How to use: Set your account balance and risk per trade (%). Enter your entry, stop loss, and (optional) target price. Instantly see your position size, RR, and volatility data. 📈 Use ATR% to align your stops with real market volatility and avoid random stop-outs.
אינדיקטור Pine Script®
מאת ‎Ostin_V‎
Bollinger ALTswap Alert v1.0 (MA28 Rotation ALT↔BTC)Inspired by: Bollinger Awesome Alert R1 by JustUncleL What is it? BBALTSWAP overlays Bollinger Bands (20, 2), a 3-EMA, and a Rotation MA (default 28), then gives state-change alerts to rotate between ALT ↔ BTC on any ALT/BTC chart. Core rotation rule • Rotate → ALT when close > Bollinger middle and close > MA28. • Rotate → BTC when close < Bollinger middle and close < MA28. • Otherwise: Wait (no rotation). Labels only print when the state changes (to avoid spam). You can also compute the rotation on a higher timeframe (default 4h) while viewing a lower one (e.g., 1h). Optional extras • Breakout arrows (scalping-style) when 3-EMA crosses the Bollinger middle with an Awesome Oscillator direction filter. • Bollinger Squeeze coloring (relative width) to highlight expansion/contraction. • Min bars between labels to throttle how often rotation labels appear. Inputs (highlights) • Use EMA for Bollinger / Rotation MA • Bollinger length & multiplier • AO fast/slow lengths • Higher-timeframe selector for rotation (default 240 = 4h) • Show breakout arrows / show “Wait” / min bars between labels How to use (simple playbook) 1. Chart: open your ALT/BTC pair (e.g., ETHBTC). 2. Direction: leave rotation HTF at 4h for steadier signals. 3. Execution: take rotations on bar close; manage entries on your lower TF (1h/15m) if desired. 4. Override check (optional): when BTCUSDT is in a fresh breakout, prefer BTC even if ALT flashes briefly. Alerts Add two alerts, Once per bar close: • “Rotate to ALT (state change)” • “Rotate to BTC (state change)” Notes • Works on any ALT/BTC pair. • The breakout arrows are optional and independent from the rotation signals. • This tool is educational; not financial advice.
אינדיקטור Pine Script®
מאת ‎sethaferd‎
VWAP Deviation Oscillator [BackQuant]VWAP Deviation Oscillator Introduction The VWAP Deviation Oscillator turns VWAP context into a clean, tradeable oscillator that works across assets and sessions. It adapts to your workflow with four VWAP regimes plus two rolling modes, and three deviation metrics: Percent, Absolute, and Z-Score. Colored zones, optional standard deviation rails, and flexible plot styles make it fast to read for both trend following and mean reversion. What it does This tool measures how far price is from a chosen VWAP and expresses that gap as an oscillator. You can view the deviation as raw price units, percent, or standardized Z-Score. The plot can be a histogram or a line with optional fills and sigma bands, so you can quickly spot polarity shifts, overbought and oversold conditions, and strength of extension. VWAP modes track a session VWAP that resets (4H, Daily, Weekly) or a rolling VWAP that updates continuously over a fixed number of bars or days. Deviation modes let you choose the lens: Percent, Absolute, or Z-Score. Each highlights different aspects of stretch and mean pressure. Visual encoding uses a 10-zone color palette to grade the magnitude of deviation on both sides of zero. Volatility guards compute mode-specific sigma so thresholds are stable even when volatility compresses. Why this works VWAP is a high signal anchor used by institutions to gauge fair participation. Deviations around VWAP cluster in regimes: mild oscillations within a band, decisive pushes that signal imbalance, and standardized extremes that often precede either continuation or snapback. Expressing that distance as a single time series adds clarity: bias is the oscillator’s sign, risk context is its magnitude, and regime is the way it behaves around sigma lines. How to use it Trend following Favor the side of the zero line. Bullish when the oscillator is above zero and making higher swing highs. Bearish when below zero and making lower swing lows. Use +1 sigma and +2 sigma in your mode as strength tiers. Pullbacks that hold above zero in uptrends, or below zero in downtrends, are often continuation entries. Mean reversion Fade stretched readings when structure supports it. Look for tests of +2 sigma to +3 sigma that fail to progress and roll back toward zero, or the mirror on the downside. Z-Score mode is best when you want standardized gates across assets. Percent mode is intuitive for intraday scalps where a given percent stretch tends to mean revert. Session playbook Use Daily or Weekly VWAP for intraday or swing context. Rolling modes help when the asset lacks clean session boundaries or when you want a continuous anchor that adapts to liquidity shifts. Key settings VWAP computation VWAP Mode = 4 Hours, Daily, Weekly, Rolling (Bars), Rolling (Days). Session modes reset the VWAP when a new session begins. Rolling modes compute VWAP over a fixed trailing window. Rolling (Lookback: Bars) controls the trailing bar count when using Rolling (Bars). Rolling (Lookback: Days) converts days to bars at runtime and uses that trailing span. Use Close instead of HLC3 switches the price reference. HLC3 is smoother. Close makes the anchor track settlement more tightly. Deviation measurement Deviation Mode Percent : 100 * (Price / VWAP - 1). Good for uniform scaling across instruments. Absolute : Price - VWAP. Good when price units themselves matter. Z-Score : Standardizes the absolute residual by its own mean and standard deviation over Z/Std Window . Ideal for cross-asset comparability and regime studies. Z/Std Window sets the mean and standard deviation window for Z-Score mode. Volatility controls Percent Mode Volatility Lookback estimates sigma for percent deviations. Absolute Mode Volatility Lookback estimates sigma for absolute deviations. Minimum Sigma Guard (pct pts) prevents the percent sigma from collapsing to near zero in extremely quiet markets. Visualization Plot Type = Histogram or Line. Histogram emphasizes impulse and polarity changes. Line emphasizes trend waves and divergences. Positive Color / Negative Color define the palette for line mode. Histogram uses a 10-bucket gradient automatically. Show Standard Deviations plots symmetric rails at ±1, ±2, ±3 sigma in the current mode’s units. Fill Line Oscillator and Fill Opacity add a soft bias band around zero for line mode. Line Width affects both the oscillator and the sigma rails. Reading the zones The oscillator’s color and height map deviation to nine graded buckets on each side of zero, with deeper greens above and deeper reds below. In Percent and Absolute modes, those buckets are scaled by their mode-specific sigma. In Z-Score mode the bucket edges are fixed at 0.5, 1.0, 2.0, and 2.8. 0 to +1 sigma weak positive bias, usually rotational. +1 to +2 sigma constructive impulse. Pullbacks that hold above zero often continue. +2 to +3 sigma strong expansion. Watch for either trend continuation or exhaustion tells. Beyond +3 sigma statistical extreme. Requires structure to avoid fading too soon. Mirror logic applies on the negative side. Suggested workflows Trend continuation checklist Pick a session VWAP that matches your timeframe, for example Daily for intraday or Weekly for position trades. Wait for the oscillator to hold the correct side of zero and for a sequence of higher swing lows in the oscillator (uptrend) or lower swing highs (downtrend). Buy pullbacks that stabilize between zero and +1 sigma in an uptrend. Sell rallies that stabilize between zero and -1 sigma in a downtrend. Use the next sigma band or a prior price swing as your target reference. Mean reversion checklist Switch to Z-Score mode for standardized thresholds. Identify tests of ±2 sigma to ±3 sigma that fail to extend while price meets support or resistance. Enter on a polarity change through the prior histogram bar or a small hook in line mode. Fade back to zero or to the opposite inner band, then reassess. Notes on the three modes Percent is easy to reason about when you care about proportional stretch. It is well suited to intraday and multi-asset dashboards. Absolute tracks cash distance from VWAP. This is useful when instruments have tight ticks and you plan risk in price units. Z-Score standardizes the residual and is best for quant studies, cross-asset comparisons, and threshold research that must be scale invariant. What the alerts can tell you Polarity changes at zero can mark the start or end of a leg. Crosses of ±1 sigma identify overbought or oversold in the current mode’s units. Zone changes signal an upgrade or downgrade in deviation strength. Troubleshooting and edge cases If your instrument has long flat periods, keep Minimum Sigma Guard above zero in Percent mode so the rails do not vanish. In Rolling modes, very short windows will respond quickly but can whip around. Session modes smooth this by resetting at well known boundaries. If Z-Score looks erratic, increase Z/Std Window to stabilize the estimate of mean and sigma for the residual. Final thoughts VWAP is the anchor. The deviation oscillator is the narrative. By separating bias, magnitude, and regime into a simple stream you can execute faster and review cleaner. Pick the VWAP mode that matches your horizon, choose the deviation lens that matches your risk framework, and let the color graded zones guide your decisions.
אינדיקטור Pine Script®
מאת ‎BackQuant‎