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חפש סקריפטים עבור "high low"

Extrapolated Pivot Connector - Lets Make Support And ResistancesIntroduction The support and resistance methodology remain the most used one in technical analysis, this is mainly due to its simplicity, and unlike lots of techniques used in technical analysis support and resistances have a certain logic, price can sometimes appear moving into a channel, support and resistances allow the trader to estimate such channel and project it into the future in order to spot points where price might reverse direction. In this script a simple linear support and resistance indicator is proposed, the indicator is made by connecting past pivot high's/low's to more recent ones and extrapolating the resulting connection. The indicator is also able to make support and resistances by using other indicators as input. Indicator Settings The indicator include various settings, the first one being the length setting who determine the sensitivity of the pivot high/low detection, low values of length will detect the pivot high/low of noisy variations, while higher values will detect the pivot high/low of longer term variations. The figure above use length = 5. The A-High parameter determine the position of the pivot high to be used as first point of the resistance line, higher values will use oldest pivot high's as first point. The B-High parameter determine the last pivot high. A-Low and B-Low work the same way but affect the support line, a label is drawn on the chart in order to help you determine the position of A/B-High/Low. Using Other Indicators Output As Input The "Use Custom Source" option allow you to apply the indicator to other indicators, for example we can use a moving average of period 50 as input Or the rsi : Let me help you set the proposed indicator easily to indicators appearing on a separate window, for example the momentum oscillator, add the momentum oscillator to the chart, to do so click on indicator and search "momentum", click on the first result, once on the chart put your mouse pointer on the indicator title, you'll see appearing the hide, settings and delete option, at the right of delete you should see three dots which represent the "more" option, click on it and select "Add indicator on Mom" and select the extrapolated pivot indicator, you can do that by searching it, altho it might be easier to do it by adding the indicator to favorites first, you then only need to select it from your favorites. You might see a mess on the indicator window, thats because the extrapolated pivot is still using high and low as input, go to the settings of the extrapolated pivot indicator and check "Use Custom Source", it should appear properly now. Tips And Tricks When Using Support And Resistances Linear support and resistances assume an approximately linear trend, if you see non linear growth in the price evolution you can use a logarithmic scale in order to have a more linear evolution. To do so right click on the the chart scale and select "Logarithmic" or use the following key shortcut "alt + l". When applying the indicator to an oscillator centered around zero make sure to adjust the settings of the oscillator such that the peak magnitude of the oscillator is relatively constant over time. Here a roc of period 9 has non constant peak amplitude, you can see that by looking at the position of the pivots (circles), increasing the period of the roc help capture more significant pivots high's/low's Conclusion In this post an indicator aiming to draw support and resistances is presented, the fact that it can be applied to any other indicator is a relatively nice option, and i hope you might make use of this feature. The code make heavy use of the new features that where integrated on the v4 of pine, such features are really focused on making figures and labels, things i don't really work with, but it is nice to step out my short codes habits, and i don't exclude working with figures in pine in the future. Thanks for reading !
אינדיקטור Pine Script®
מאת ‎alexgrover‎
83
Keltner Channel Enhanced [DCAUT]█ Keltner Channel Enhanced 📊 ORIGINALITY & INNOVATION The Keltner Channel Enhanced represents an important advancement over standard Keltner Channel implementations by introducing dual flexibility in moving average selection for both the middle band and ATR calculation. While traditional Keltner Channels typically use EMA for the middle band and RMA (Wilder's smoothing) for ATR, this enhanced version provides access to 25+ moving average algorithms for both components, enabling traders to fine-tune the indicator's behavior to match specific market characteristics and trading approaches. Key Advancements: Dual MA Algorithm Flexibility: Independent selection of moving average types for middle band (25+ options) and ATR smoothing (25+ options), allowing optimization of both trend identification and volatility measurement separately Enhanced Trend Sensitivity: Ability to use faster algorithms (HMA, T3) for middle band while maintaining stable volatility measurement with traditional ATR smoothing, or vice versa for different trading strategies Adaptive Volatility Measurement: Choice of ATR smoothing algorithm affects channel responsiveness to volatility changes, from highly reactive (SMA, EMA) to smoothly adaptive (RMA, TEMA) Comprehensive Alert System: Five distinct alert conditions covering breakouts, trend changes, and volatility expansion, enabling automated monitoring without constant chart observation Multi-Timeframe Compatibility: Works effectively across all timeframes from intraday scalping to long-term position trading, with independent optimization of trend and volatility components This implementation addresses key limitations of standard Keltner Channels: fixed EMA/RMA combination may not suit all market conditions or trading styles. By decoupling the trend component from volatility measurement and allowing independent algorithm selection, traders can create highly customized configurations for specific instruments and market phases. 📐 MATHEMATICAL FOUNDATION Keltner Channel Enhanced uses a three-component calculation system that combines a flexible moving average middle band with ATR-based (Average True Range) upper and lower channels, creating volatility-adjusted trend-following bands. Core Calculation Process: 1. Middle Band (Basis) Calculation: The basis line is calculated using the selected moving average algorithm applied to the price source over the specified period: basis = ma(source, length, maType) Supported algorithms include EMA (standard choice, trend-biased), SMA (balanced and symmetric), HMA (reduced lag), WMA, VWMA, TEMA, T3, KAMA, and 17+ others. 2. Average True Range (ATR) Calculation: ATR measures market volatility by calculating the average of true ranges over the specified period: trueRange = max(high - low, abs(high - close ), abs(low - close )) atrValue = ma(trueRange, atrLength, atrMaType) ATR smoothing algorithm significantly affects channel behavior, with options including RMA (standard, very smooth), SMA (moderate smoothness), EMA (fast adaptation), TEMA (smooth yet responsive), and others. 3. Channel Calculation: Upper and lower channels are positioned at specified multiples of ATR from the basis: upperChannel = basis + (multiplier × atrValue) lowerChannel = basis - (multiplier × atrValue) Standard multiplier is 2.0, providing channels that dynamically adjust width based on market volatility. Keltner Channel vs. Bollinger Bands - Key Differences: While both indicators create volatility-based channels, they use fundamentally different volatility measures: Keltner Channel (ATR-based): Uses Average True Range to measure actual price movement volatility Incorporates gaps and limit moves through true range calculation More stable in trending markets, less prone to extreme compression Better reflects intraday volatility and trading range Typically fewer band touches, making touches more significant More suitable for trend-following strategies Bollinger Bands (Standard Deviation-based): Uses statistical standard deviation to measure price dispersion Based on closing prices only, doesn't account for intraday range Can compress significantly during consolidation (squeeze patterns) More touches in ranging markets Better suited for mean-reversion strategies Provides statistical probability framework (95% within 2 standard deviations) Algorithm Combination Effects: The interaction between middle band MA type and ATR MA type creates different indicator characteristics: Trend-Focused Configuration (Fast MA + Slow ATR): Middle band uses HMA/EMA/T3, ATR uses RMA/TEMA, quick trend changes with stable channel width, suitable for trend-following Volatility-Focused Configuration (Slow MA + Fast ATR): Middle band uses SMA/WMA, ATR uses EMA/SMA, stable trend with dynamic channel width, suitable for volatility trading Balanced Configuration (Standard EMA/RMA): Classic Keltner Channel behavior, time-tested combination, suitable for general-purpose trend following Adaptive Configuration (KAMA + KAMA): Self-adjusting indicator responding to efficiency ratio, suitable for markets with varying trend strength and volatility regimes 📊 COMPREHENSIVE SIGNAL ANALYSIS Keltner Channel Enhanced provides multiple signal categories optimized for trend-following and breakout strategies. Channel Position Signals: Upper Channel Interaction: Price Touching Upper Channel: Strong bullish momentum, price moving more than typical volatility range suggests, potential continuation signal in established uptrends Price Breaking Above Upper Channel: Exceptional strength, price exceeding normal volatility expectations, consider adding to long positions or tightening trailing stops Price Riding Upper Channel: Sustained strong uptrend, characteristic of powerful bull moves, stay with trend and avoid premature profit-taking Price Rejection at Upper Channel: Momentum exhaustion signal, consider profit-taking on longs or waiting for pullback to middle band for reentry Lower Channel Interaction: Price Touching Lower Channel: Strong bearish momentum, price moving more than typical volatility range suggests, potential continuation signal in established downtrends Price Breaking Below Lower Channel: Exceptional weakness, price exceeding normal volatility expectations, consider adding to short positions or protecting against further downside Price Riding Lower Channel: Sustained strong downtrend, characteristic of powerful bear moves, stay with trend and avoid premature covering Price Rejection at Lower Channel: Momentum exhaustion signal, consider covering shorts or waiting for bounce to middle band for reentry Middle Band (Basis) Signals: Trend Direction Confirmation: Price Above Basis: Bullish trend bias, middle band acts as dynamic support in uptrends, consider long positions or holding existing longs Price Below Basis: Bearish trend bias, middle band acts as dynamic resistance in downtrends, consider short positions or avoiding longs Price Crossing Above Basis: Potential trend change from bearish to bullish, early signal to establish long positions Price Crossing Below Basis: Potential trend change from bullish to bearish, early signal to establish short positions or exit longs Pullback Trading Strategy: Uptrend Pullback: Price pulls back from upper channel to middle band, finds support, and resumes upward, ideal long entry point Downtrend Bounce: Price bounces from lower channel to middle band, meets resistance, and resumes downward, ideal short entry point Basis Test: Strong trends often show price respecting the middle band as support/resistance on pullbacks Failed Test: Price breaking through middle band against trend direction signals potential reversal Volatility-Based Signals: Narrow Channels (Low Volatility): Consolidation Phase: Channels contract during periods of reduced volatility and directionless price action Breakout Preparation: Narrow channels often precede significant directional moves as volatility cycles Trading Approach: Reduce position sizes, wait for breakout confirmation, avoid range-bound strategies within channels Breakout Direction: Monitor for price breaking decisively outside channel range with expanding width Wide Channels (High Volatility): Trending Phase: Channels expand during strong directional moves and increased volatility Momentum Confirmation: Wide channels confirm genuine trend with substantial volatility backing Trading Approach: Trend-following strategies excel, wider stops necessary, mean-reversion strategies risky Exhaustion Signs: Extreme channel width (historical highs) may signal approaching consolidation or reversal Advanced Pattern Recognition: Channel Walking Pattern: Upper Channel Walk: Price consistently touches or exceeds upper channel while staying above basis, very strong uptrend signal, hold longs aggressively Lower Channel Walk: Price consistently touches or exceeds lower channel while staying below basis, very strong downtrend signal, hold shorts aggressively Basis Support/Resistance: During channel walks, price typically uses middle band as support/resistance on minor pullbacks Pattern Break: Price crossing basis during channel walk signals potential trend exhaustion Squeeze and Release Pattern: Squeeze Phase: Channels narrow significantly, price consolidates near middle band, volatility contracts Direction Clues: Watch for price positioning relative to basis during squeeze (above = bullish bias, below = bearish bias) Release Trigger: Price breaking outside narrow channel range with expanding width confirms breakout Follow-Through: Measure squeeze height and project from breakout point for initial profit targets Channel Expansion Pattern: Breakout Confirmation: Rapid channel widening confirms volatility increase and genuine trend establishment Entry Timing: Enter positions early in expansion phase before trend becomes overextended Risk Management: Use channel width to size stops appropriately, wider channels require wider stops Basis Bounce Pattern: Clean Bounce: Price touches middle band and immediately reverses, confirms trend strength and entry opportunity Multiple Bounces: Repeated basis bounces indicate strong, sustainable trend Bounce Failure: Price penetrating basis signals weakening trend and potential reversal Divergence Analysis: Price/Channel Divergence: Price makes new high/low while staying within channel (not reaching outer band), suggests momentum weakening Width/Price Divergence: Price breaks to new extremes but channel width contracts, suggests move lacks conviction Reversal Signal: Divergences often precede trend reversals or significant consolidation periods Multi-Timeframe Analysis: Keltner Channels work particularly well in multi-timeframe trend-following approaches: Three-Timeframe Alignment: Higher Timeframe (Weekly/Daily): Identify major trend direction, note price position relative to basis and channels Intermediate Timeframe (Daily/4H): Identify pullback opportunities within higher timeframe trend Lower Timeframe (4H/1H): Time precise entries when price touches middle band or lower channel (in uptrends) with rejection Optimal Entry Conditions: Best Long Entries: Higher timeframe in uptrend (price above basis), intermediate timeframe pulls back to basis, lower timeframe shows rejection at middle band or lower channel Best Short Entries: Higher timeframe in downtrend (price below basis), intermediate timeframe bounces to basis, lower timeframe shows rejection at middle band or upper channel Risk Management: Use higher timeframe channel width to set position sizing, stops below/above higher timeframe channels 🎯 STRATEGIC APPLICATIONS Keltner Channel Enhanced excels in trend-following and breakout strategies across different market conditions. Trend Following Strategy: Setup Requirements: Identify established trend with price consistently on one side of basis line Wait for pullback to middle band (basis) or brief penetration through it Confirm trend resumption with price rejection at basis and move back toward outer channel Enter in trend direction with stop beyond basis line Entry Rules: Uptrend Entry: Price pulls back from upper channel to middle band, shows support at basis (bullish candlestick, momentum divergence) Enter long on rejection/bounce from basis with stop 1-2 ATR below basis Aggressive: Enter on first touch; Conservative: Wait for confirmation candle Downtrend Entry: Price bounces from lower channel to middle band, shows resistance at basis (bearish candlestick, momentum divergence) Enter short on rejection/reversal from basis with stop 1-2 ATR above basis Aggressive: Enter on first touch; Conservative: Wait for confirmation candle Trend Management: Trailing Stop: Use basis line as dynamic trailing stop, exit if price closes beyond basis against position Profit Taking: Take partial profits at opposite channel, move stops to basis Position Additions: Add to winners on subsequent basis bounces if trend intact Breakout Strategy: Setup Requirements: Identify consolidation period with contracting channel width Monitor price action near middle band with reduced volatility Wait for decisive breakout beyond channel range with expanding width Enter in breakout direction after confirmation Breakout Confirmation: Price breaks clearly outside channel (upper for longs, lower for shorts), channel width begins expanding from contracted state Volume increases significantly on breakout (if using volume analysis) Price sustains outside channel for multiple bars without immediate reversal Entry Approaches: Aggressive: Enter on initial break with stop at opposite channel or basis, use smaller position size Conservative: Wait for pullback to broken channel level, enter on rejection and resumption, tighter stop Volatility-Based Position Sizing: Adjust position sizing based on channel width (ATR-based volatility): Wide Channels (High ATR): Reduce position size as stops must be wider, calculate position size using ATR-based risk calculation: Risk / (Stop Distance in ATR × ATR Value) Narrow Channels (Low ATR): Increase position size as stops can be tighter, be cautious of impending volatility expansion ATR-Based Risk Management: Use ATR-based risk calculations, position size = 0.01 × Capital / (2 × ATR), use multiples of ATR (1-2 ATR) for adaptive stops Algorithm Selection Guidelines: Different market conditions benefit from different algorithm combinations: Strong Trending Markets: Middle band use EMA or HMA, ATR use RMA, capture trends quickly while maintaining stable channel width Choppy/Ranging Markets: Middle band use SMA or WMA, ATR use SMA or WMA, avoid false trend signals while identifying genuine reversals Volatile Markets: Middle band and ATR both use KAMA or FRAMA, self-adjusting to changing market conditions reduces manual optimization Breakout Trading: Middle band use SMA, ATR use EMA or SMA, stable trend with dynamic channels highlights volatility expansion early Scalping/Day Trading: Middle band use HMA or T3, ATR use EMA or TEMA, both components respond quickly Position Trading: Middle band use EMA/TEMA/T3, ATR use RMA or TEMA, filter out noise for long-term trend-following 📋 DETAILED PARAMETER CONFIGURATION Understanding and optimizing parameters is essential for adapting Keltner Channel Enhanced to specific trading approaches. Source Parameter: Close (Most Common): Uses closing price, reflects daily settlement, best for end-of-day analysis and position trading, standard choice HL2 (Median Price): Smooths out closing bias, better represents full daily range in volatile markets, good for swing trading HLC3 (Typical Price): Gives more weight to close while including full range, popular for intraday applications, slightly more responsive than HL2 OHLC4 (Average Price): Most comprehensive price representation, smoothest option, good for gap-prone markets or highly volatile instruments Length Parameter: Controls the lookback period for middle band (basis) calculation: Short Periods (10-15): Very responsive to price changes, suitable for day trading and scalping, higher false signal rate Standard Period (20 - Default): Represents approximately one month of trading, good balance between responsiveness and stability, suitable for swing and position trading Medium Periods (30-50): Smoother trend identification, fewer false signals, better for position trading and longer holding periods Long Periods (50+): Very smooth, identifies major trends only, minimal false signals but significant lag, suitable for long-term investment Optimization by Timeframe: 1-15 minute charts use 10-20 period, 30-60 minute charts use 20-30 period, 4-hour to daily charts use 20-40 period, weekly charts use 20-30 weeks. ATR Length Parameter: Controls the lookback period for Average True Range calculation, affecting channel width: Short ATR Periods (5-10): Very responsive to recent volatility changes, standard is 10 (Keltner's original specification), may be too reactive in whipsaw conditions Standard ATR Period (10 - Default): Chester Keltner's original specification, good balance between responsiveness and stability, most widely used Medium ATR Periods (14-20): Smoother channel width, ATR 14 aligns with Wilder's original ATR specification, good for position trading Long ATR Periods (20+): Very smooth channel width, suitable for long-term trend-following Length vs. ATR Length Relationship: Equal values (20/20) provide balanced responsiveness, longer ATR (20/14) gives more stable channel width, shorter ATR (20/10) is standard configuration, much shorter ATR (20/5) creates very dynamic channels. Multiplier Parameter: Controls channel width by setting ATR multiples: Lower Values (1.0-1.5): Tighter channels with frequent price touches, more trading signals, higher false signal rate, better for range-bound and mean-reversion strategies Standard Value (2.0 - Default): Chester Keltner's recommended setting, good balance between signal frequency and reliability, suitable for both trending and ranging strategies Higher Values (2.5-3.0): Wider channels with less frequent touches, fewer but potentially higher-quality signals, better for strong trending markets Market-Specific Optimization: High volatility markets (crypto, small-caps) use 2.5-3.0 multiplier, medium volatility markets (major forex, large-caps) use 2.0 multiplier, low volatility markets (bonds, utilities) use 1.5-2.0 multiplier. MA Type Parameter (Middle Band): Critical selection that determines trend identification characteristics: EMA (Exponential Moving Average - Default): Standard Keltner Channel choice, Chester Keltner's original specification, emphasizes recent prices, faster response to trend changes, suitable for all timeframes SMA (Simple Moving Average): Equal weighting of all data points, no directional bias, slower than EMA, better for ranging markets and mean-reversion HMA (Hull Moving Average): Minimal lag with smooth output, excellent for fast trend identification, best for day trading and scalping TEMA (Triple Exponential Moving Average): Advanced smoothing with reduced lag, responsive to trends while filtering noise, suitable for volatile markets T3 (Tillson T3): Very smooth with minimal lag, excellent for established trend identification, suitable for position trading KAMA (Kaufman Adaptive Moving Average): Automatically adjusts speed based on market efficiency, slow in ranging markets, fast in trends, suitable for markets with varying conditions ATR MA Type Parameter: Determines how Average True Range is smoothed, affecting channel width stability: RMA (Wilder's Smoothing - Default): J. Welles Wilder's original ATR smoothing method, very smooth, slow to adapt to volatility changes, provides stable channel width SMA (Simple Moving Average): Equal weighting, moderate smoothness, faster response to volatility changes than RMA, more dynamic channel width EMA (Exponential Moving Average): Emphasizes recent volatility, quick adaptation to new volatility regimes, very responsive channel width changes TEMA (Triple Exponential Moving Average): Smooth yet responsive, good balance for varying volatility, suitable for most trading styles Parameter Combination Strategies: Conservative Trend-Following: Length 30/ATR Length 20/Multiplier 2.5, MA Type EMA or TEMA/ATR MA Type RMA, smooth trend with stable wide channels, suitable for position trading Standard Balanced Approach: Length 20/ATR Length 10/Multiplier 2.0, MA Type EMA/ATR MA Type RMA, classic Keltner Channel configuration, suitable for general purpose swing trading Aggressive Day Trading: Length 10-15/ATR Length 5-7/Multiplier 1.5-2.0, MA Type HMA or EMA/ATR MA Type EMA or SMA, fast trend with dynamic channels, suitable for scalping and day trading Breakout Specialist: Length 20-30/ATR Length 5-10/Multiplier 2.0, MA Type SMA or WMA/ATR MA Type EMA or SMA, stable trend with responsive channel width Adaptive All-Conditions: Length 20/ATR Length 10/Multiplier 2.0, MA Type KAMA or FRAMA/ATR MA Type KAMA or TEMA, self-adjusting to market conditions Offset Parameter: Controls horizontal positioning of channels on chart. Positive values shift channels to the right (future) for visual projection, negative values shift left (past) for historical analysis, zero (default) aligns with current price bars for real-time signal analysis. Offset affects only visual display, not alert conditions or actual calculations. 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Keltner Channel Enhanced provides improvements over standard implementations while maintaining proven effectiveness. Response Characteristics: Standard EMA/RMA Configuration: Moderate trend lag (approximately 0.4 × length periods), smooth and stable channel width from RMA smoothing, good balance for most market conditions Fast HMA/EMA Configuration: Approximately 60% reduction in trend lag compared to EMA, responsive channel width from EMA ATR smoothing, suitable for quick trend changes and breakouts Adaptive KAMA/KAMA Configuration: Variable lag based on market efficiency, automatic adjustment to trending vs. ranging conditions, self-optimizing behavior reduces manual intervention Comparison with Traditional Keltner Channels: Enhanced Version Advantages: Dual Algorithm Flexibility: Independent MA selection for trend and volatility vs. fixed EMA/RMA, separate tuning of trend responsiveness and channel stability Market Adaptation: Choose configurations optimized for specific instruments and conditions, customize for scalping, swing, or position trading preferences Comprehensive Alerts: Enhanced alert system including channel expansion detection Traditional Version Advantages: Simplicity: Fewer parameters, easier to understand and implement Standardization: Fixed EMA/RMA combination ensures consistency across users Research Base: Decades of backtesting and research on standard configuration When to Use Enhanced Version: Trading multiple instruments with different characteristics, switching between trending and ranging markets, employing different strategies, algorithm-based trading systems requiring customization, seeking optimization for specific trading style and timeframe. When to Use Standard Version: Beginning traders learning Keltner Channel concepts, following published research or trading systems, preferring simplicity and standardization, wanting to avoid optimization and curve-fitting risks. Performance Across Market Conditions: Strong Trending Markets: EMA or HMA basis with RMA or TEMA ATR smoothing provides quicker trend identification, pullbacks to basis offer excellent entry opportunities Choppy/Ranging Markets: SMA or WMA basis with RMA ATR smoothing and lower multipliers, channel bounce strategies work well, avoid false breakouts Volatile Markets: KAMA or FRAMA with EMA or TEMA, adaptive algorithms excel by automatic adjustment, wider multipliers (2.5-3.0) accommodate large price swings Low Volatility/Consolidation: Channels narrow significantly indicating consolidation, algorithm choice less impactful, focus on detecting channel width contraction for breakout preparation Keltner Channel vs. Bollinger Bands - Usage Comparison: Favor Keltner Channels When: Trend-following is primary strategy, trading volatile instruments with gaps, want ATR-based volatility measurement, prefer fewer higher-quality channel touches, seeking stable channel width during trends. Favor Bollinger Bands When: Mean-reversion is primary strategy, trading instruments with limited gaps, want statistical framework based on standard deviation, need squeeze patterns for breakout identification, prefer more frequent trading opportunities. Use Both Together: Bollinger Band squeeze + Keltner Channel breakout is powerful combination, price outside Bollinger Bands but inside Keltner Channels indicates moderate signal, price outside both indicates very strong signal, Bollinger Bands for entries and Keltner Channels for trend confirmation. Limitations and Considerations: General Limitations: Lagging Indicator: All moving averages lag price, even with reduced-lag algorithms Trend-Dependent: Works best in trending markets, less effective in choppy conditions No Direction Prediction: Indicates volatility and deviation, not future direction, requires confirmation Enhanced Version Specific Considerations: Optimization Risk: More parameters increase risk of curve-fitting historical data Complexity: Additional choices may overwhelm beginning traders Backtesting Challenges: Different algorithms produce different historical results Mitigation Strategies: Use Confirmation: Combine with momentum indicators (RSI, MACD), volume, or price action Test Parameter Robustness: Ensure parameters work across range of values, not just optimized ones Multi-Timeframe Analysis: Confirm signals across different timeframes Proper Risk Management: Use appropriate position sizing and stops Start Simple: Begin with standard EMA/RMA before exploring alternatives Optimal Usage Recommendations: For Maximum Effectiveness: Start with standard EMA/RMA configuration to understand classic behavior Experiment with alternatives on demo account or paper trading Match algorithm combination to market condition and trading style Use channel width analysis to identify market phases Combine with complementary indicators for confirmation Implement strict risk management using ATR-based position sizing Focus on high-quality setups rather than trading every signal Respect the trend: trade with basis direction for higher probability Complementary Indicators: RSI or Stochastic: Confirm momentum at channel extremes MACD: Confirm trend direction and momentum shifts Volume: Validate breakouts and trend strength ADX: Measure trend strength, avoid Keltner signals in weak trends Support/Resistance: Combine with traditional levels for high-probability setups Bollinger Bands: Use together for enhanced breakout and volatility analysis USAGE NOTES This indicator is designed for technical analysis and educational purposes. Keltner Channel Enhanced has limitations and should not be used as the sole basis for trading decisions. While the flexible moving average selection for both trend and volatility components provides valuable adaptability across different market conditions, algorithm performance varies with market conditions, and past characteristics do not guarantee future results. Key considerations: Always use multiple forms of analysis and confirmation before entering trades Backtest any parameter combination thoroughly before live trading Be aware that optimization can lead to curve-fitting if not done carefully Start with standard EMA/RMA settings and adjust only when specific conditions warrant Understand that no moving average algorithm can eliminate lag entirely Consider market regime (trending, ranging, volatile) when selecting parameters Use ATR-based position sizing and risk management on every trade Keltner Channels work best in trending markets, less effective in choppy conditions Respect the trend direction indicated by price position relative to basis line The enhanced flexibility of dual algorithm selection provides powerful tools for adaptation but requires responsible use, thorough understanding of how different algorithms behave under various market conditions, and disciplined risk management.
אינדיקטור Pine Script®
מאת ‎DCAUT‎
Universal Breakout Strategy [KedArc Quant]Description: A flexible breakout framework where you can test different logics (Prev Day, Bollinger, Volume, ATR, EMA Trend, RSI Confirm, Candle Confirm, Time Filter) under one system. Choose your breakout mode, and the strategy will handle entries, exits, and optional risk management (ATR stops, take-profits, daily loss guard, cooldowns). An on-chart info table shows live mode values (like Prev High/Low, Bollinger levels, RSI, etc.) plus P&L stats for quick analysis. Use it to compare which breakout style works best on your instrument and timeframe, whether intraday, swing, or positional trading 🔑 Why it’s useful * Flexibility: Switch between breakout strategies without loading different indicators. * Clarity: On-chart info table displays current mode, relevant indicator levels, and live strategy P&L stats. * Testing efficiency: Quickly A/B test different breakout styles under the same backtest environment. * Transparency: Every trade is rule-based and displayed with entry/exit markers. 🚀 How it helps traders * Lets you experiment with breakout strategies quickly without loading multiple scripts. * Helps identify which breakout method fits your instrument & timeframe. * Gives clear on-chart visual + statistical feedback for confident decision-making. ⚙️ Input Configuration * Breakout Mode → choose which strategy to test: * *Prev Day* → breakouts of yesterday’s High/Low. * *Bollinger* → Upper/Lower BB pierce. * *Volume* → Breakout confirmed with volume above average. * *ATR Stop* → Wide range breakout using ATR filter. * *Time Filter* → Breakouts inside defined session hours. * *EMA Trend* → Breakouts only in EMA fast > slow alignment. * *RSI Confirm* → Breakouts with RSI confirmation (e.g. >55 for longs). * *Candle Confirm* → Breakouts validated by bullish/bearish candle. * Lookback / ATR / Bollinger inputs → adjust sensitivity. * Intrabar mode → option to evaluate breakouts using bar highs/lows instead of closes. * Table options → show/hide info table, show/hide P&L stats, choose corner placement. 📈 Entry & Exit Logic * Entry → occurs when breakout condition of chosen mode is met. * Exit → default exits via opposite signals or optional stop/target if enabled. * Session filter → optional auto-flat at session end. * P&L management → optional daily loss guard, cooldown between trades, and ATR-based stop/take profit. ❓ FAQ — Choosing the best setup Q: Which strategy should I use for which chart? * *Prev Day Breakouts*: Best on indices, FX, and liquid futures with strong daily levels. * *Bollinger*: Works well in range-bound environments, or crypto pairs with volatility compression. * *Volume*: Good on equities where breakout strength is tied to volume spikes. * *ATR Stop*: Suits volatile instruments (commodities, crypto). * *EMA Trend*: Useful in trending markets (stocks, indices). * *RSI Confirm*: Adds momentum filter, better for swing trades. * *Candle Confirm*: Ideal for scalpers needing visual confirmation. * *Time Filter*: For intraday traders who want signals only in high-liquidity sessions. Q: What timeframe should I use? * Intraday traders → 5m to 15m (Time Filter, Candle Confirm). * Swing traders → 1H to 4H (EMA Trend, RSI Confirm, ATR Stop). * Position traders → Daily (Prev Day, Bollinger). * Breakout A trade entry condition triggered when price crosses above a resistance level (for longs) or below a support level (for shorts). * Prev Day High/Low Formula: Prev High = High of (Day ) Prev Low = Low of (Day ) * Bollinger Bands Formula: Basis = SMA(Close, Length) Upper Band = Basis + (Multiplier × StdDev(Close, Length)) Lower Band = Basis – (Multiplier × StdDev(Close, Length)) * Volume Confirmation A breakout is only valid if: Volume > SMA(Volume, Length) * ATR (Average True Range) Measures volatility. Formula: ATR = SMA(True Range, Length) where True Range = max(High–Low, |High–Close |, |Low–Close |) * EMA (Exponential Moving Average) Weighted moving average giving more weight to recent prices. Formula: EMA = (Price × α) + (EMA × (1–α)) with α = 2 / (Length + 1) * RSI (Relative Strength Index) Momentum oscillator scaled 0–100. Formula: RSI = 100 – (100 / (1 + RS)) where RS = Avg(Gain, Length) ÷ Avg(Loss, Length) * Candle Confirmation Bullish candle: Close > Open AND Close > Close Bearish candle: Close < Open AND Close < Close Win Rate (%) Formula: Win Rate = (Winning Trades ÷ Total Trades) × 100 * Average Trade P&L Formula: Avg Trade = Net Profit ÷ Total Trades 📊 Performance Notes The Universal Breakout Strategy is designed as a framework rather than a single-asset optimized system. Results will vary depending on the chart, timeframe, and asset chosen. On the current defaults (15-minute, INR-denominated example), the backtest produced 132 trades over the selected period. This provides a statistically sufficient sample size. Win rate (~35%) is relatively low, but this is balanced by a positive reward-to-risk ratio (~1.8). In practice, a lower win rate with larger wins versus smaller losses is sustainable. The average P&L per trade is close to breakeven under default settings. This is expected, as the strategy is not tuned for a single symbol but offered as a universal breakout framework. Commissions (0.1%) and slippage (1 tick) are included in the simulation, ensuring realistic conditions. Risk management is conservative, with order sizing set at 1 unit per trade. This avoids over-leveraging and keeps exposure well under the 5-10% equity risk guideline. 👉 Traders are encouraged to: Experiment with inputs such as ATR period, breakout length, or Bollinger parameters. Test across different timeframes and instruments (equities, futures, forex, crypto) to find optimal setups. Combine with filters (trend direction, volatility regimes, or volume conditions) for further refinement. ⚠️ 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.
אסטרטגיית Pine Script®
מאת ‎kedarcquant‎
2
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
Chimera [theUltimator5]In myth, the chimera is an “impossible” hybrid—lion, goat, and serpent fused into one—striking to look at and formidable in presence. The word has come to mean a beautiful, improbable union of parts that shouldn’t work together, yet do. Chimera is a dual-mode market context tool that blends a multi-input oscillator with classic ADX/DI trend strength, plus optional multi-timeframe “gap-line” tracking. Use it to visualize regime (trend vs. range), momentum swings around an adaptive midline, and higher timeframe (HTF) reference levels that auto-terminate on touch/cross. Modes 1) Oscillator view A smoothed composite of five common inputs—RSI, MACD (oscillator), Bollinger position, Stochastic, and an ATR/DI-weighted bias. Each is normalized to a comparable 0–100 style scale, averaged, and plotted as a candle-style oscillator (short vs. long smoothing, wickless for clarity). A dynamic midline with standard-deviation bands frames neutral → bearish/bullish zones. Colors ramp from neutral to your chosen Oversold/Overbought endpoints; consolidation can override to white. Here is a description of the (5) signals used to calculate the sentiment oscillator: RSI (14): Measures recent momentum by comparing average gains vs. losses. High = strength after advances; low = weakness after declines. (Z-score normalized to 0–100.) MACD oscillator (12/26/9): Uses the difference between MACD and its signal (histogram) to gauge momentum shifts. Positive = bullish tilt; negative = bearish. (Z-score normalized.) Bollinger Bands position (20, 2): Locates price within the bands (0–100 from lower → upper). Near upper suggests strength/expansion; near lower suggests weakness/contraction. (Then normalized.) Stochastic (14, 3, 3): Shows where the close sits within the recent high-low range, smoothed via %D. Higher values = closes near highs; lower = near lows. (Scaled 0–100.) ATR/DI composite (14): Volatility-weighted directional bias: (+DI − −DI) amplified by ATR as a % of price and its relative average. Positive = bullish pressure with volatility; negative = bearish. (Rank/scale normalized.) All five are normalized and averaged into one composite, then smoothed (short/long) and compared to an adaptive midline with bands. 2) ADX view Shows ADX, +DI, –DI with user-defined High Threshold. Transparency and color shift with regime. When ADX is strong, a directional “fire/ice” gradient fills the area between ADX and the high threshold, biased toward the dominant DI; when ADX is weak, a soft white fade highlights low-trend conditions. HTF gap-line tracking (optional; both modes) Detects “gap-like” reference levels after weak-trend consolidation flips into a sudden DI jump. Anchors a line at the event bar’s open and auto-terminates upon first touch/cross (tick-size tolerance). Auto-selects up to three higher timeframes suited to your chart resolution and prints non-overlapping lines with labels like 1H / 4H / 1D. Lower-priority duplicates are suppressed to reduce clutter. Confirmation / repaint notes Signals and lines finalize on bar close of the relevant timeframe. HTF elements update only on the HTF bar close. During a forming bar they may appear transiently. Line removal finalizes after the bar that produced the touch/cross closes. Visual cues & effects Oscillator candles: Open/High = long smoothing; Low/Close = short smoothing (no wicks). Adaptive bands: Midline ± StdDev Multiplier × stdev of the blended series. Consolidation tint: Optional white backdrop/candles when the consolidation condition is true (balance + low ADX). Breakout VFX (optional): With strong DI/ADX and Bollinger breaks, renders a subtle “fire” flare above upper-band thrusts or “ice” shelf below lower-band thrusts. Inputs (high-level) Visual Style: Oscillator or ADX. General (Oscillator): Lookback Period, Short/Long Smoothing, Standard Deviation Multiplier. Color (Oscillator): Oversold/Overbought colors for gradient endpoints. Plot (Oscillator): Show Candles, Show Slow MA Line, Show Individual Component (RSI/MACD/BB/Stoch/ATR). Table (Oscillator): Show Information Table & position (compact dashboard of component values + status). ADX / Gaps / VFX (both modes): ADX High Threshold, Highlight Backgrounds, Show Gap Labels, Visual Overlay Effects, and color choices for current-TF & HTF lines. HTF selection: Automatic ladder (3 tiers) based on your chart timeframe. Alerts (built-in) Buy Signal – Primary: Oscillator exits oversold. Sell Signal – Primary: Oscillator exits overbought. Gap Fill Line Created (Any TF) Gap Fill Line Terminated (Any TF) ADX Crossed ABOVE/BELOW Low Threshold ADX Crossed ABOVE/BELOW High Threshold Consolidation Started Alerts evaluate on the close of the relevant timeframe. How to read it (quick guide) Pick your lens: Oscillator for blended momentum around an adaptive midline; ADX for trend strength and DI skew. Watch extremes & mean re-entries (Oscillator): Approaches to the top/bottom band show persistent momentum; returns toward the midline show normalization. Check regime (ADX): Below Low = low-trend; above High = strong trend, with “fire/ice” bias toward +DI/–DI. Track gap lines: Fresh labels mark new reference levels; lines auto-remove on first interaction. HTF lines add context but finalize only on HTF close. The uniqueness from this indicator comes from multiple areas: 1. A unique multi-timeframe algorithm detects gap fill zones and plots them on the chart. 2. Visual effects for both visual modes were hand crafted to provide a visually stunning and intuitive interface. 3. The algorithm to determine sentiment uses a unique blend of weight and sensitivity adjustment to create a plot with elastic upper and lower bounds based off historical volatility and price action.
אינדיקטור Pine Script®
מאת ‎TheUltimator5‎
28
Strat Failed 2-Up/2-Down Scanner v2**Strat Failed 2-Up/2-Down Scanner** The Strat Failed 2-Up/2-Down Scanner is designed for traders using The Strat methodology, developed by Rob Smith, to identify key reversal patterns in any market and timeframe. This indicator detects two specific candlestick patterns: Failed 2-Up (bearish) and Failed 2-Down (bullish), which signal potential reversals when a directional move fails to follow through. **What It Does** - **Failed 2-Up**: Identifies a bearish candle where the low and high are higher than the previous candle’s low and high, but the close is below the open, indicating a failed attempt to continue an uptrend. These are marked with a red candlestick, a red downward triangle above the bar, and a table entry. - **Failed 2-Down**: Identifies a bullish candle where the high and low are lower than the previous candle’s high and low, but the close is above the open, signaling a failed downtrend. These are marked with a green candlestick, a green upward triangle below the bar, and a table entry. - A table in the top-right corner displays the signal type ("Failed 2-Up" or "Failed 2-Down") and the ticker symbol for quick reference. - Alerts are provided for both patterns, making the indicator compatible with TradingView’s screener for automated scanning. **How It Works** The indicator analyzes each candlestick’s high, low, and close relative to the previous candle: - Failed 2-Up: `low > low `, `high > high `, `close < open`. - Failed 2-Down: `high < high `, `low < low `, `close > open`. When these conditions are met, the indicator applies visual markers (colored bars and triangles) and updates the signal table. Alert conditions trigger notifications for integration with TradingView’s alert system. **How to Use** 1. Apply the indicator to any chart (stocks, forex, crypto, etc.) on any timeframe (e.g., 1-minute, hourly, daily). 2. Monitor the chart for red (Failed 2-Up) or green (Failed 2-Down) candlesticks with corresponding triangles. 3. Check the top-right table for the latest signal and ticker. 4. Set alerts by selecting “Failed 2-Up Detected” or “Failed 2-Down Detected” in TradingView’s alert menu to receive notifications (e.g., via email or app). 5. Use the signals to identify potential reversal setups in conjunction with other Strat-based analysis, such as swing levels or time-based strategies. **Originality** Unlike other Strat indicators that may focus on swing levels or complex candlestick combinations, this scanner specifically targets Failed 2-Up and Failed 2-Down patterns with clear, minimalist visualizations (bars, triangles, table) and robust alert functionality. Its simplicity makes it accessible for both novice and experienced traders using The Strat methodology. **Ideal For** Day traders, swing traders, and scalpers looking to capitalize on reversal signals in trending or ranging markets. The indicator is versatile for any asset class and timeframe, enhancing trade decision-making with The Strat’s pattern-based approach.
אינדיקטור Pine Script®
מאת ‎SmartGatorTrader‎
DYNAMIC TRADING DASHBOARDStudy Material for the "Dynamic Trading Dashboard" This Dynamic Trading Dashboard is designed as an educational tool within the TradingView environment. It compiles commonly used market indicators and analytical methods into one visual interface so that traders and learners can see relationships between indicators and price action. Understanding these indicators, step by step, can help traders develop discipline, improve technical analysis skills, and build strategies. Below is a detailed explanation of each module. ________________________________________ 1. Price and Daily Reference Points The dashboard displays the current price, along with percentage change compared to the day’s opening price. It also highlights whether the price is moving upward or downward using directional symbols. Alongside, it tracks daily high, low, open, and daily range. For traders, daily levels provide valuable reference points. The daily high and low are considered intraday support and resistance, while the median price of the day often acts as a pivot level for mean reversion traders. Monitoring these helps learners see how price oscillates within daily ranges. ________________________________________ 2. VWAP (Volume Weighted Average Price) VWAP is calculated as a cumulative average price weighted by volume. The dashboard compares the current price with VWAP, showing whether the market is trading above or below it. For traders, VWAP is often a guide for institutional order flow. Price trading above VWAP suggests bullish sentiment, while trading below VWAP indicates bearish sentiment. Learners can use VWAP as a training tool to recognize trend-following vs. mean reversion setups. ________________________________________ 3. Volume Analysis The system distinguishes between buy volume (when the closing price is higher than the open) and sell volume (when the closing price is lower than the open). A progress bar highlights the ratio of buying vs. selling activity in percentage. This is useful because volume confirms price action. For instance, if prices rise but sell volume dominates, it can signal weakness. New traders learning with this tool should focus on how volume often precedes price reversals and trends. ________________________________________ 4. RSI (Relative Strength Index) RSI is a momentum oscillator that measures price strength on a scale from 0 to 100. The dashboard classifies RSI readings into overbought (>70), oversold (<30), or neutral zones and adds visual progress bars. RSI helps learners understand momentum shifts. During training, one should notice how trending markets can keep RSI extended for longer periods (not immediate reversal signals), while range-bound markets react more sharply to RSI extremes. It is an excellent tool for practicing trend vs. range identification. ________________________________________ 5. MACD (Moving Average Convergence Divergence) The MACD indicator involves a fast EMA, slow EMA, and signal line, with focus on crossovers. The dashboard shows whether a “bullish cross” (MACD above signal line) or “bearish cross” (MACD below signal line) has occurred. MACD teaches traders to identify trend momentum shifts and divergence. During practice, traders can explore how MACD signals align with VWAP trends or RSI levels, which helps in building a structured multi-indicator analysis. ________________________________________ 6. Stochastic Oscillator This indicator compares the current close relative to a range of highs and lows over a period. Displayed values oscillate between 0 and 100, marking zones of overbought (>80) and oversold (<20). Stochastics are useful for students of trading to recognize short-term momentum changes. Unlike RSI, it reacts faster to price volatility, so false signals are common. Part of the training exercise can be to observe how stochastic “flips” can align with volume surges or daily range endpoints. ________________________________________ 7. Trend & Momentum Classification The dashboard adds simple labels for trend (uptrend, downtrend, neutral) based on RSI thresholds. Additionally, it provides quick momentum classification (“bullish hold”, “bearish hold”, or neutral). This is beneficial for beginners as it introduces structured thinking: differentiating long-term market bias (trend) from short-term directional momentum. By combining both, traders can practice filtering signals instead of trading randomly. ________________________________________ 8. Accumulation / Distribution Bias Based on RSI levels, the script generates simplified tags such as “Accumulate Long”, “Accumulate Short”, or “Wait”. This is purely an interpretive guide, helping learners think in terms of accumulation phases (when markets are low) and distribution phases (when markets are high). It reinforces the concept that trading is not only directional but also involves timing. ________________________________________ 9. Overall Market Status and Score Finally, the dashboard compiles multiple indicators (VWAP position, RSI, MACD, Stochastics, and price vs. median levels) into a Market Score expressed as a percentage. It also labels the market as Overbought, Oversold, or Normal. This scoring system isn’t a recommendation but a learning framework. Students can analyze how combining different indicators improves decision-making. The key training focus here is confluence: not depending on one indicator but observing when several conditions align. Extended Study Material with Formulas ________________________________________ 1. Daily Reference Levels (High, Low, Open, Median, Range) • Day High (H): Maximum price of the session. DayHigh=max⁡(Hightoday)DayHigh=max(Hightoday) • Day Low (L): Minimum price of the session. DayLow=min⁡(Lowtoday)DayLow=min(Lowtoday) • Day Open (O): Opening price of the session. DayOpen=OpentodayDayOpen=Opentoday • Day Range: Range=DayHigh−DayLowRange=DayHigh−DayLow • Median: Mid-point between high and low. Median=DayHigh+DayLow2Median=2DayHigh+DayLow These act as intraday guideposts for seeing how far the price has stretched from its key reference levels. ________________________________________ 2. VWAP (Volume Weighted Average Price) VWAP considers both price and volume for a weighted average: VWAPt=∑i=1t(Pricei×Volumei)∑i=1tVolumeiVWAPt=∑i=1tVolumei∑i=1t(Pricei×Volumei) Here, Price_i can be the average price (High + Low + Close) ÷ 3, also known as hlc3. • Interpretation: Price above VWAP = bullish bias; Price below = bearish bias. ________________________________________ 3. Volume Buy/Sell Analysis The dashboard splits total volume into buy volume and sell volume based on candle type. • Buy Volume: BuyVol=Volumeif Close > Open, else 0BuyVol=Volumeif Close > Open, else 0 • Sell Volume: SellVol=Volumeif Close < Open, else 0SellVol=Volumeif Close < Open, else 0 • Buy Ratio (%): VolumeRatio=BuyVolBuyVol+SellVol×100VolumeRatio=BuyVol+SellVolBuyVol×100 This helps traders gauge who is in control during a session—buyers or sellers. ________________________________________ 4. RSI (Relative Strength Index) RSI measures strength of momentum by comparing gains vs. losses. Step 1: Compute average gains (AG) and losses (AL). AG=Average of Upward Closes over N periodsAG=Average of Upward Closes over N periodsAL=Average of Downward Closes over N periodsAL=Average of Downward Closes over N periods Step 2: Calculate relative strength (RS). RS=AGALRS=ALAG Step 3: RSI formula. RSI=100−1001+RSRSI=100−1+RS100 • Used to detect overbought (>70), oversold (<30), or neutral momentum zones. ________________________________________ 5. MACD (Moving Average Convergence Divergence) • Fast EMA: EMAfast=EMA(Close,length=fast)EMAfast=EMA(Close,length=fast) • Slow EMA: EMAslow=EMA(Close,length=slow)EMAslow=EMA(Close,length=slow) • MACD Line: MACD=EMAfast−EMAslowMACD=EMAfast−EMAslow • Signal Line: Signal=EMA(MACD,length=signal)Signal=EMA(MACD,length=signal) • Histogram: Histogram=MACD−SignalHistogram=MACD−Signal Crossovers between MACD and Signal are used in studying bullish/bearish phases. ________________________________________ 6. Stochastic Oscillator Stochastic compares the current close against a range of highs and lows. %K=Close−LowestLowHighestHigh−LowestLow×100%K=HighestHigh−LowestLowClose−LowestLow×100 Where LowestLow and HighestHigh are the lowest and highest values over N periods. The %D line is a smooth version of %K (using a moving average). %D=SMA(%K,smooth)%D=SMA(%K,smooth) • Values above 80 = overbought; below 20 = oversold. ________________________________________ 7. Trend and Momentum Classification This dashboard generates simplified trend/momentum logic using RSI. • Trend: • RSI < 40 → Downtrend • RSI > 60 → Uptrend • In Between → Neutral • Momentum Bias: • RSI > 70 → Bullish Hold • RSI < 30 → Bearish Hold • Otherwise Neutral This is not predictive, only a classification framework for educational use. ________________________________________ 8. Accumulation/Distribution Bias Based on extreme RSI values: • RSI < 25 → Accumulate Long Bias • RSI > 80 → Accumulate Short Bias • Else → Wait/No Action This helps learners understand the idea of accumulation at lows (strength building) and distribution at highs (profit booking). ________________________________________ 9. Overall Market Status and Score The tool adds up 5 bullish conditions: 1. Price above VWAP 2. RSI > 50 3. MACD > Signal 4. Stochastic > 50 5. Price above Daily Median BullishScore=ConditionsMet5×100BullishScore=5ConditionsMet×100 Then it categorizes the market: • RSI > 70 or Stoch > 80 → Overbought • RSI < 30 or Stoch < 20 → Oversold • Else → Normal This encourages learners to think in terms of probabilistic conditions instead of single-indicator signals. ________________________________________ ⚠️ Warning: • Trading financial markets involves substantial risk. • You can lose more money than you invest. • Past performance of indicators does not guarantee future results. • This script must not be copied, resold, or republished without authorization from aiTrendview. By using this material or the code, you agree to take full responsibility for your trading decisions and acknowledge that this is not financial advice. ________________________________________ ⚠️ Disclaimer and Warning (From aiTrendview) This Dynamic Trading Dashboard is created strictly for educational and research purposes on the TradingView platform. It does not provide financial advice, buy/sell recommendations, or guaranteed returns. Any use of this tool in live trading is completely at the user’s own risk. Markets are inherently risky; losses can exceed initial investment. The intellectual property of this script and its methodology belongs to aiTrendview. Unauthorized reproduction, modification, or redistribution of this code is strictly prohibited. By using this study material or the script, you acknowledge personal responsibility for any trading outcomes. Always consult professional financial advisors before making investment decisions.
אינדיקטור Pine Script®
מאת ‎aiTrendview-Charting-System‎
UNITY[ALGO] PO3 V3Of course. Here is a complete and professional description in English for the indicator we have built, detailing all of its features and functionalities. Indicator: UNITY PO3 V7.2 Overview The UNITY PO3 is an advanced, multi-faceted technical analysis tool designed to identify high-probability reversal setups based on the Swing Failure Pattern (SFP). It combines real-time SFP detection on the current timeframe with a sophisticated analysis of key institutional liquidity zones from the H4 timeframe, presenting all information in a clear, dynamic, and interactive visual interface. This indicator is built for traders who use liquidity concepts, providing a complete dashboard of entries, targets, and invalidation levels directly on the chart. Core Features & Functionality 1. Swing Failure Pattern (SFP) Detection (Current Timeframe) The indicator's primary engine identifies SFPs on the chart's active timeframe with two layers of logic: Standard SFP: Detects a classic liquidity sweep where the current candle's wick takes out the high or low of the previous candle and the body closes back within the previous candle's range. Outside Bar SFP Logic: Intelligently analyzes engulfing candles that sweep both the high and low of the previous candle. A valid signal is only generated if the candle has a clear directional close: Bullish Signal: If the outside bar closes higher than its open. Bearish Signal: If the outside bar closes lower than its open. Neutral (doji-like) outside bars are ignored to filter for indecision. 2. Comprehensive On-Chart SFP Markings When a valid SFP is detected, a full suite of dynamic drawings appears on the chart: Failure Line: A dashed line (red for bearish, green for bullish) marking the precise price level of the liquidity sweep. PREMIUM ZONE (SFP Candle Wick): A transparent, colored rectangle highlighting the rejection wick of the signal candle (the upper wick for bearish SFPs, the lower wick for bullish SFPs). This zone automatically extends to the right, following the current price, until the DOL is hit. CRT BOX (Reference Candle): A transparent box with a colored border drawn around the entire range of the candle that was swept (Candle 1). This highlights the full liquidity zone and also extends dynamically until the DOL is hit. Dynamic Target Line: A blue dashed line marking the primary objective (the low of the signal candle for shorts, the high for longs). The line begins with a "⏳ Target" label and extends with the current price. Upon being touched by price, the line freezes, and its label permanently changes to "✅ Target". Dynamic DOL (Draw on Liquidity) Line: An orange dashed line marking the invalidation level, defined as the opposite extremity of the swept candle (Candle 1). It begins with a "⏳ dol" label and extends with the price. Upon being touched, it freezes, and its label changes to "✅ dol". 3. Multi-Session Killzone Liquidity Levels (H4 Analysis) The indicator automatically analyzes the H4 timeframe in the background to identify and plot key liquidity levels from three major trading sessions, based on their UTC opening times. 1am Killzone (London Lunch): Tracks the high/low of the 05:00 UTC H4 candle. 5am Killzone (London Open): Tracks the high/low of the 09:00 UTC H4 candle. 9am Killzone (NY Open): Tracks the high/low of the 13:00 UTC H4 candle. For each of these Killzones, the indicator provides two types of analysis: Last KZ Lines: Plots the high and low of the most recent qualifying Killzone candle. These lines are dynamic, extending with price and showing a ⏳/✅ status when touched. Fresh Zones: A powerful feature that scans the entire available history of Killzones to find and display the closest untouched high (above the current price) and the closest untouched low (below the current price). These "Fresh" lines are also fully dynamic and provide a real-time view of the most relevant nearby liquidity targets. 4. Advanced User Settings & Chart Management The indicator is designed for a clean and user-centric experience with powerful customization: Show Only Last SFP: Keeps the chart clean by automatically deleting the previous SFP setup when a new one appears. Hide SFP on DOL Reset: When checked, automatically removes all drawings related to an SFP setup the moment its invalidation level (DOL line) is touched. This leaves only active, valid setups on the chart. Hide Consumed KZ: When checked, automatically removes any Killzone or Fresh Zone line from the chart as soon as it is touched by the price. Independent Toggles: Every visual element—SFP signals, each of the three Killzones, and their respective "Fresh" zone counterparts—can be turned on or off independently from the settings menu for complete control over the visual display. Z-Order Priority: All indicator drawings are rendered in front of the chart candles, ensuring they are always clearly visible and never hidden from view.
אינדיקטור Pine Script®
מאת ‎JoeUnity‎
1
Smart MTF S/R Levels[BullByte] Smart MTF S/R Levels Introduction & Motivation Support and Resistance (S/R) levels are the backbone of technical analysis. However, most traders face two major challenges: Manual S/R Marking: Drawing S/R levels by hand is time-consuming, subjective, and often inconsistent. Multi-Timeframe Blind Spots: Key S/R levels from higher or lower timeframes are often missed, leading to surprise reversals or missed opportunities. Smart MTF S/R Levels was created to solve these problems. It is a fully automated, multi-timeframe, multi-method S/R detection and visualization tool, designed to give traders a complete, objective, and actionable view of the market’s most important price zones. What Makes This Indicator Unique? Multi-Timeframe Analysis: Simultaneously analyzes up to three user-selected timeframes, ensuring you never miss a critical S/R level from any timeframe. Multi-Method Confluence: Integrates several respected S/R detection methods—Swings, Pivots, Fibonacci, Order Blocks, and Volume Profile—into a single, unified system. Zone Clustering: Automatically merges nearby levels into “zones” to reduce clutter and highlight areas of true market consensus. Confluence Scoring: Each zone is scored by the number of methods and timeframes in agreement, helping you instantly spot the most significant S/R areas. Reaction Counting: Tracks how many times price has recently interacted with each zone, providing a real-world measure of its importance. Customizable Dashboard: A real-time, on-chart table summarizes all key S/R zones, their origins, confluence, and proximity to price. Smart Alerts: Get notified when price approaches high-confluence zones, so you never miss a critical trading opportunity. Why Should a Trader Use This? Objectivity: Removes subjectivity from S/R analysis by using algorithmic detection and clustering. Efficiency: Saves hours of manual charting and reduces analysis fatigue. Comprehensiveness: Ensures you are always aware of the most relevant S/R zones, regardless of your trading timeframe. Actionability: The dashboard and alerts make it easy to act on the most important levels, improving trade timing and risk management. Adaptability: Works for all asset classes (stocks, forex, crypto, futures) and all trading styles (scalping, swing, position). The Gap This Indicator Fills Most S/R indicators focus on a single method or timeframe, leading to incomplete analysis. Manual S/R marking is error-prone and inconsistent. This indicator fills the gap by: Automating S/R detection across multiple timeframes and methods Objectively scoring and ranking zones by confluence and reaction Presenting all this information in a clear, actionable dashboard How Does It Work? (Technical Logic) 1. Level Detection For each selected timeframe, the script detects S/R levels using: SW (Swing High/Low): Recent price pivots where reversals occurred. Pivot: Classic floor trader pivots (P, S1, R1). Fib (Fibonacci): Key retracement levels (0.236, 0.382, 0.5, 0.618, 0.786) over the last 50 bars. Bull OB / Bear OB: Institutional price zones based on bullish/bearish engulfing patterns. VWAP / POC: Volume Weighted Average Price and Point of Control over the last 50 bars. 2. Level Clustering Levels within a user-defined % distance are merged into a single “zone.” Each zone records which methods and timeframes contributed to it. 3. Confluence & Reaction Scoring Confluence: The number of unique methods/timeframes in agreement for a zone. Reactions: The number of times price has touched or reversed at the zone in the recent past (user-defined lookback). 4. Filtering & Sorting Only zones within a user-defined % of the current price are shown (to focus on actionable areas). Zones can be sorted by confluence, reaction count, or proximity to price. 5. Visualization Zones: Shaded boxes on the chart (green for support, red for resistance, blue for mixed). Lines: Mark the exact level of each zone. Labels: Show level, methods by timeframe (e.g., 15m (3 SW), 30m (1 VWAP)), and (if applicable) Fibonacci ratios. Dashboard Table: Lists all nearby zones with full details. 6. Alerts Optional alerts trigger when price approaches a zone with confluence above a user-set threshold. Inputs & Customization (Explained for All Users) Show Timeframe 1/2/3: Enable/disable analysis for each timeframe (e.g., 15m, 30m, 1h). Show Swings/Pivots/Fibonacci/Order Blocks/Volume Profile: Select which S/R methods to include. Show levels within X% of price: Only display zones near the current price (default: 3%). How many swing highs/lows to show: Number of recent swings to include (default: 3). Cluster levels within X%: Merge levels close together into a single zone (default: 0.25%). Show Top N Zones: Limit the number of zones displayed (default: 8). Bars to check for reactions: How far back to count price reactions (default: 100). Sort Zones By: Choose how to rank zones in the dashboard (Confluence, Reactions, Distance). Alert if Confluence >=: Set the minimum confluence score for alerts (default: 3). Zone Box Width/Line Length/Label Offset: Control the appearance of zones and labels. Dashboard Size/Location: Customize the dashboard table. How to Read the Output Shaded Boxes: Represent S/R zones. The color indicates type (green = support, red = resistance, blue = mixed). Lines: Mark the precise level of each zone. Labels: Show the level, methods by timeframe (e.g., 15m (3 SW), 30m (1 VWAP)), and (if applicable) Fibonacci ratios. Dashboard Table: Columns include: Level: Price of the zone Methods (by TF): Which S/R methods and how many, per timeframe (see abbreviation key below) Type: Support, Resistance, or Mixed Confl.: Confluence score (higher = more significant) React.: Number of recent price reactions Dist %: Distance from current price (in %) Abbreviations Used SW = Swing High/Low (recent price pivots where reversals occurred) Fib = Fibonacci Level (key retracement levels such as 0.236, 0.382, 0.5, 0.618, 0.786) VWAP = Volume Weighted Average Price (price level weighted by volume) POC = Point of Control (price level with the highest traded volume) Bull OB = Bullish Order Block (institutional support zone from bullish price action) Bear OB = Bearish Order Block (institutional resistance zone from bearish price action) Pivot = Pivot Point (classic floor trader pivots: P, S1, R1) These abbreviations appear in the dashboard and chart labels for clarity. Example: How to Read the Dashboard and Labels (from the chart above) Suppose you are trading BTCUSDT on a 15-minute chart. The dashboard at the top right shows several S/R zones, each with a breakdown of which timeframes and methods contributed to their detection: Resistance zone at 119257.11: The dashboard shows: 5m (1 SW), 15m (2 SW), 1h (3 SW) This means the level 119257.11 was identified as a resistance zone by one swing high (SW) on the 5-minute timeframe, two swing highs on the 15-minute timeframe, and three swing highs on the 1-hour timeframe. The confluence score is 6 (total number of method/timeframe hits), and there has been 1 recent price reaction at this level. This suggests 119257.11 is a strong resistance zone, confirmed by multiple swing highs across all selected timeframes. Mixed zone at 118767.97: The dashboard shows: 5m (2 SW), 15m (2 SW) This means the level 118767.97 was identified by two swing points on both the 5-minute and 15-minute timeframes. The confluence score is 4, and there have been 19 recent price reactions at this level, indicating it is a highly reactive zone. Support zone at 117411.35: The dashboard shows: 5m (2 SW), 1h (2 SW) This means the level 117411.35 was identified as a support zone by two swing lows on the 5-minute timeframe and two swing lows on the 1-hour timeframe. The confluence score is 4, and there have been 2 recent price reactions at this level. Mixed zone at 118291.45: The dashboard shows: 15m (1 SW, 1 VWAP), 5m (1 VWAP), 1h (1 VWAP) This means the level 118291.45 was identified by a swing and VWAP on the 15-minute timeframe, and by VWAP on both the 5-minute and 1-hour timeframes. The confluence score is 4, and there have been 12 recent price reactions at this level. Support zone at 117103.10: The dashboard shows: 15m (1 SW), 1h (1 SW) This means the level 117103.10 was identified by a single swing low on both the 15-minute and 1-hour timeframes. The confluence score is 2, and there have been no recent price reactions at this level. Resistance zone at 117899.33: The dashboard shows: 5m (1 SW) This means the level 117899.33 was identified by a single swing high on the 5-minute timeframe. The confluence score is 1, and there have been no recent price reactions at this level. How to use this: Zones with higher confluence (more methods and timeframes in agreement) and more recent reactions are generally more significant. For example, the resistance at 119257.11 is much stronger than the resistance at 117899.33, and the mixed zone at 118767.97 has shown the most recent price reactions, making it a key area to watch for potential reversals or breakouts. Tip: “SW” stands for Swing High/Low, and “VWAP” stands for Volume Weighted Average Price. The format 15m (2 SW) means two swing points were detected on the 15-minute timeframe. Best Practices & Recommendations Use with Other Tools: This indicator is most powerful when combined with your own price action analysis and risk management. Adjust Settings: Experiment with timeframes, clustering, and methods to suit your trading style and the asset’s volatility. Watch for High Confluence: Zones with higher confluence and more reactions are generally more significant. Limitations No Future Prediction: The indicator does not predict future price movement; it highlights areas where price is statistically more likely to react. Not a Standalone System: Should be used as part of a broader trading plan. Historical Data: Reaction counts are based on historical price action and may not always repeat. Disclaimer This indicator is a technical analysis tool and does not constitute financial advice or a recommendation to buy or sell any asset. Trading involves risk, and past performance is not indicative of future results. Always use proper risk management and consult a financial advisor if needed.
אינדיקטור Pine Script®
מאת ‎BullByte‎
12
Info TableOverview The Info Table V1 is a versatile TradingView indicator tailored for intraday futures traders, particularly those focusing on MESM2 (Micro E-mini S&P 500 futures) on 1-minute charts. It presents essential market insights through two customizable tables: the Main Table for predictive and macro metrics, and the New Metrics Table for momentum and volatility indicators. Designed for high-activity sessions like 9:30 AM–11:00 AM CDT, this tool helps traders assess price alignment, sentiment, and risk in real-time. Metrics update dynamically (except weekly COT data), with optional alerts for key conditions like volatility spikes or momentum shifts. This indicator builds on foundational concepts like linear regression for predictions and adapts open-source elements for enhanced functionality. Gradient code is adapted from TradingView's Color Library. QQE logic is adapted from LuxAlgo's QQE Weighted Oscillator, licensed under CC BY-NC-SA 4.0. The script is released under the Mozilla Public License 2.0. Key Features Two Customizable Tables: Positioned independently (e.g., top-right for Main, bottom-right for New Metrics) with toggle options to show/hide for a clutter-free chart. Gradient Coloring: User-defined high/low colors (default green/red) for quick visual interpretation of extremes, such as overbought/oversold or high volatility. Arrows for Directional Bias: In the New Metrics Table, up (↑) or down (↓) arrows appear in value cells based on metric thresholds (top/bottom 25% of range), indicating bullish/high or bearish/low conditions. Consensus Highlighting: The New Metrics Table's title cells ("Metric" and "Value") turn green if all arrows are ↑ (strong bullish consensus), red if all are ↓ (strong bearish consensus), or gray otherwise. Predicted Price Plot: Optional line (default blue) overlaying the ML-predicted price for visual comparison with actual price action. Alerts: Notifications for high/low Frahm Volatility (≥8 or ≤3) and QQE Bias crosses (bullish/bearish momentum shifts). Main Table Metrics This table focuses on predictive, positional, and macro insights: ML-Predicted Price: A linear regression forecast using normalized price, volume, and RSI over a customizable lookback (default 500 bars). Gradient scales from low (red) to high (green) relative to the current price ± threshold (default 100 points). Deviation %: Percentage difference between current price and predicted price. Gradient highlights extremes (±0.5% default threshold), signaling potential overextensions. VWAP Deviation %: Percentage difference from Volume Weighted Average Price (VWAP). Gradient indicates if price is above (green) or below (red) fair value (±0.5% default). FRED UNRATE % Change: Percentage change in U.S. unemployment rate (via FRED data). Cell turns red for increases (economic weakness), green for decreases (strength), gray if zero or disabled. Open Interest: Total open MESM2 futures contracts. Gradient scales from low (red) to high (green) up to a hardcoded 300,000 threshold, reflecting market participation. COT Commercial Long/Short: Weekly Commitment of Traders data for commercial positions. Long cell green if longs > shorts (bullish institutional sentiment); Short cell red if shorts > longs (bearish); gray otherwise. New Metrics Table Metrics This table emphasizes technical momentum and volatility, with arrows for quick bias assessment: QQE Bias: Smoothed RSI vs. trailing stop (default length 14, factor 4.236, smooth 5). Green for bullish (RSI > stop, ↑ arrow), red for bearish (RSI < stop, ↓ arrow), gray for neutral. RSI: Relative Strength Index (default period 14). Gradient from oversold (red, <30 + threshold offset, ↓ arrow if ≤40) to overbought (green, >70 - offset, ↑ arrow if ≥60). ATR Volatility: Score (1–20) based on Average True Range (default period 14, lookback 50). High scores (green, ↑ if ≥15) signal swings; low (red, ↓ if ≤5) indicate calm. ADX Trend: Average Directional Index (default period 14). Gradient from weak (red, ↓ if ≤0.25×25 threshold) to strong trends (green, ↑ if ≥0.75×25). Volume Momentum: Score (1–20) comparing current to historical volume (lookback 50). High (green, ↑ if ≥15) suggests pressure; low (red, ↓ if ≤5) implies weakness. Frahm Volatility: Score (1–20) from true range over a window (default 24 hours, multiplier 9). Dynamic gradient (green/red/yellow); ↑ if ≥7.5, ↓ if ≤2.5. Frahm Avg Candle (Ticks): Average candle size in ticks over the window. Blue gradient (or dynamic green/red/yellow); ↑ if ≥0.75 percentile, ↓ if ≤0.25. Arrows trigger on metric-specific logic (e.g., RSI ≥60 for ↑), providing directional cues without strict color ties. Customization Options Adapt the indicator to your strategy: ML Inputs: Lookback (10–5000 bars) and RSI period (2+) for prediction sensitivity—shorter for volatility, longer for trends. Timeframes: Individual per metric (e.g., 1H for QQE Bias to match higher frames; blank for chart timeframe). Thresholds: Adjust gradients and arrows (e.g., Deviation 0.1–5%, ADX 0–100, RSI overbought/oversold). QQE Settings: Length, factor, and smooth for fine-tuned momentum. Data Toggles: Enable/disable FRED, Open Interest, COT for focus (e.g., disable macro for pure intraday). Frahm Options: Window hours (1+), scale multiplier (1–10), dynamic colors for avg candle. Plot/Table: Line color, positions, gradients, and visibility. Ideal Use Case Perfect for MESM2 scalpers and trend traders. Use the Main Table for entry confirmation via predicted deviations and institutional positioning. Leverage the New Metrics Table arrows for short-term signals—enter bullish on green consensus (all ↑), avoid chop on low volatility. Set alerts to catch shifts without constant monitoring. Why It's Valuable Info Table V1 consolidates diverse metrics into actionable visuals, answering critical questions: Is price mispriced? Is momentum aligning? Is volatility manageable? With real-time updates, consensus highlights, and extensive customization, it enhances precision in fast markets, reducing guesswork for confident trades. Note: Optimized for futures; some metrics (OI, COT) unavailable on non-futures symbols. Test on demo accounts. No financial advice—use at your own risk. The provided script reuses open-source elements from TradingView's Color Library and LuxAlgo's QQE Weighted Oscillator, as noted in the script comments and description. Credits are appropriately given in both the description and code comments, satisfying the requirement for attribution. Regarding significant improvements and proportion: The QQE logic comprises approximately 15 lines of code in a script exceeding 400 lines, representing a small proportion (<5%). Adaptations include integration with multi-timeframe support via request.security, user-customizable inputs for length, factor, and smooth, and application within a broader table-based indicator for momentum bias display (with color gradients, arrows, and alerts). This extends the original QQE beyond standalone oscillator use, incorporating it as one of seven metrics in the New Metrics Table for confluence analysis (e.g., consensus highlighting when all metrics align). These are functional enhancements, not mere stylistic or variable changes. The Color Library usage is via official import (import TradingView/Color/1 as Color), leveraging built-in gradient functions without copying code, and applied to enhance visual interpretation across multiple metrics. The script complies with the rules: reused code is minimal, significantly improved through integration and expansion, and properly credited. It qualifies for open-source publication under the Mozilla Public License 2.0, as stated.
אינדיקטור Pine Script®
מאת ‎charleyRT‎
IDKFAIDKFA - Advanced Order Blocks & Volume Profile with Market Structure Analysis Why IDKFA? Named after the legendary DOOM cheat code that gives players "all weapons and full ammo," IDKFA provides traders with a comprehensive arsenal of market analysis tools. Just as the cheat code arms players with everything needed for combat, this indicator equips traders with essential market structure tools: Order Blocks, Volume Profile, LVN/HVN areas, Fibonacci retracements, and intelligent buy/sell signals - all in one unified system. Core Features Order Blocks Detection Automatically identifies institutional order blocks using pivot high/low analysis Extends blocks dynamically until price interaction occurs Bullish blocks (demand zones) and bearish blocks (supply zones) Customizable opacity and extend functionality Advanced Volume Profile Real-time volume profile calculation for multiple session types Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL) Mode 1: Side-by-side bull/bear volume display Mode 2: Overlapped volume display with percentage analysis Shows buying vs selling pressure at each price level LVN/HVN Area Detection Low Volume Nodes (LVN): Areas below VAL where price moves quickly High Volume Nodes (HVN): Areas above VAH with strong resistance NPOC (Naked Point of Control): Single print areas within Value Area Volume-based gradient coloring shows relative activity levels Smart Fibonacci Retracements Auto-detects trend direction for proper fibonacci orientation Dynamic color coding: Red levels in uptrends, Gold in downtrends Special 88.6% level turns lime green in downtrends Key levels: 23.6%, 38.2%, 50%, 61.8%, 65%, 78.6%, 88.6% Intelligent Signal System Works best on higher timeframes Identifies high-probability reversal setups at key levels Buy signals: Large bearish rejection followed by bullish reclaim Sell signals: Large bullish rejection followed by bearish breakdown Signals only trigger near significant support/resistance areas Signal Analysis & Usage Guidelines Buy Signal Mechanics The buy signal triggers when: Previous candle shows significant bearish movement (minimum ATR multiplier) Current candle reclaims a configurable percentage of the previous candle's range Price is near a key support level (order blocks, fibonacci, volume levels) Sell Signal Mechanics The sell signal triggers when: Previous candle shows significant bullish movement (minimum ATR multiplier) Current candle rejects below a configurable percentage of the previous candle's range Price is near a key resistance level (order blocks, fibonacci, volume levels) When to TAKE Signals High Probability Buy Signals: Signal appears AT or BELOW the VAL (Value Area Low) Signal occurs at bullish order block confluence Price is in LVN area below VAL (momentum acceleration zone) Signal aligns with fibonacci 61.8% or 78.6% support Multiple session POC levels provide support confluence Previous session's VAL acting as current support High Probability Sell Signals: Signal appears AT or ABOVE the VAH (Value Area High) Signal occurs at bearish order block confluence Price is in HVN area above VAH (heavy resistance zone) Signal aligns with fibonacci 61.8% or 78.6% resistance Multiple session POC levels provide resistance confluence Previous session's VAH acting as current resistance When to AVOID Signals Avoid Buy Signals When: Signal appears ABOVE the VAH (buying into resistance) Price is in HVN red zones (high volume resistance areas) No clear support structure below current price Volume profile shows heavy selling pressure (high bear percentages) Signal occurs during low-volume periods between major sessions Multiple bearish order blocks exist below current price Avoid Sell Signals When: Signal appears BELOW the VAL (selling into support) Price is in LVN green zones (momentum could continue) No clear resistance structure above current price Volume profile shows heavy buying pressure (high bull percentages) Signal occurs during Asian session ranges without clear direction Multiple bullish order blocks exist above current price Volume Profile Context for Signals Understanding Bull/Bear Percentages: 70%+ Bull dominance at a level = Strong support expected 70%+ Bear dominance at a level = Strong resistance expected 50/50 Split = Neutral zone, less predictable Use percentages to gauge conviction behind moves POC (Point of Control) Interactions: Signals above POC in uptrend = Higher probability Signals below POC in downtrend = Higher probability Signals against POC bias require extra confirmation POC often acts as magnetic level for price return Trading Strategies Strategy 1: VAL/VAH Bounce Strategy Wait for price to approach VAL (support) or VAH (resistance) Look for signal confirmation at these critical levels Enter with tight stops beyond the Value Area Target opposite boundary or next session's levels Strategy 2: Order Block + Volume Confluence Identify order block alignment with VAL/VAH Wait for signal within the confluence zone Enter on signal with stop beyond order block Use LVN areas as acceleration zones for targets Strategy 3: LVN/HVN Strategy LVN (Green) Areas: "Go Zones" - expect quick price movement through low volume HVN (Red) Areas: "Stop Zones" - expect resistance and potential reversals NPOC Areas: "Fill Zones" - price often returns to fill single print gaps Strategy 4: Multi-Session Analysis Use Daily/Weekly for major structure context Use 4H for intermediate levels Use 1H for precise entry timing Ensure all timeframes align before taking signals Strategy 5: Fibonacci + Volume Profile Buy signals at 61.8% or 78.6% fibonacci near VAL Sell signals at 61.8% or 78.6% fibonacci near VAH Use 88.6% level as final support/resistance before major moves 50% level often aligns with POC for confluence Signal Quality Assessment Grade A Signals (Highest Probability): Signal at VAL/VAH with order block confluence Fibonacci level alignment (61.8%, 78.6%) Volume profile shows 70%+ dominance in signal direction Multiple timeframe structure alignment Signal occurs during high-volume sessions (London/NY) Grade B Signals (Moderate Probability): Signal near POC with some confluence Fibonacci 50% or 38.2% alignment Mixed volume profile readings (50-70% dominance) Some timeframe alignment present Signal during overlap sessions Grade C Signals (Lower Probability): Signal with minimal confluence Weak fibonacci alignment or none Volume profile neutral or against signal Conflicting timeframe signals Signal during low-volume periods Risk Management Guidelines Position Sizing Based on Signal Quality: Grade A: Standard position size Grade B: Reduced position size (50-75%) Grade C: Minimal position size (25%) or skip entirely Stop Loss Placement: Beyond order block boundaries Outside Value Area (VAL/VAH) Below/above fibonacci confluence levels Account for session volatility ranges Profit Targets: First target: Opposite VAL/VAH boundary Second target: Next session's key levels Final target: Major order blocks or fibonacci extensions Credits & Attribution Original components derived from: Market Sessions & Volume Profile by © Leviathan (Mozilla Public License 2.0) Volume Profile elements inspired by @LonesomeTheBlue's volume profile script Pivot Order Blocks by TradingWolf / © MensaTrader (Mozilla Public License 2.0) Auto Fibonacci Retracement code (public domain) Significant enhancements and modifications include: Advanced LVN/HVN detection and visualization Bull/Bear percentage analysis for Mode 2/3 Comprehensive alert system with market context Integrated buy/sell signals at key levels Performance optimizations and extended session support Enhanced Mode 2/3 with percentage pressure analysis Important Disclaimers This indicator is a technical analysis tool designed for educational purposes. It does not provide financial advice, investment recommendations, or trading signals that guarantee profits. All trading involves substantial risk of loss, and past performance does not guarantee future results. Users should conduct their own research, understand the risks involved, and consider consulting with qualified financial advisors before making trading decisions. The signals and analysis provided are based on historical price patterns and volume data, which may not predict future market movements accurately. Best Practices Never trade signals blindly - always consider volume profile context Wait for confluence between multiple tools before entering Respect the Value Area - avoid buying above VAH or selling below VAL Use session context - Asian ranges vs London/NY breakouts Practice proper risk management - position size based on signal quality Understand the bigger picture - use multiple timeframes for context Remember: Like the IDKFA cheat code, having all the tools doesn't guarantee success. The key is learning to use them together effectively and understanding when NOT to take a signal is often more important than knowing when to take one.
אינדיקטור Pine Script®
מאת ‎MessyJess‎
5
Open Range Breakout (ORB) with Alerts 🚀 ChartsAlgo – Open Range Breakout (ORB) with Alerts The Open Range Breakout (ORB) Indicator by ChartsAlg is designed for intraday traders looking to capitalize on price movements after the market’s opening range. This tool is especially effective for futures (MNQ, MES) and high-volatility stocks or crypto where initial volatility sets the tone for the session. This indicator identifies a user-defined opening range window, plots the high/low lines of that range, and visually alerts users when price breaks out above or below the range — with options to customize breakout repetitions, background fill, and alerts. 💡 What is an Open Range Breakout (ORB)? The opening range represents the high and low established during the first few minutes of the trading session — usually 15 or 30 minutes. Many intraday strategies are based on the idea that breaking out of this initial range often signals strong momentum and trend continuation. Traders often enter: Long when price breaks above the range high. Short when price breaks below the range low. ⚙️ How It Works You define a session window (e.g., 09:30–09:45 EST). The indicator tracks the high and low during this time. Once the session ends, the high and low become your range breakout levels. The indicator then: Plots lines for visual clarity Optionally fills background between the range Triggers breakout signals if price crosses the levels Provides alerts when breakouts occur 🛠️ Settings Breakdown 🔹 Session Settings Range Session: Set your preferred window (e.g., 0930–0945). Can be premarket, first 30 mins, or any custom time. Time zone: Use "America/New York" for EST (default) or change to "GMT+0" for international traders. 🔹 Breakout Settings Bullish Breakout Signals: Number of allowed breakout alerts above the range. Bearish Breakout Signals: Number of allowed breakout alerts below the range. This prevents repeated alerts once breakout has been confirmed. 🔹 Display Settings Show Background Fill: Fills area between high/low of the range for easier visual analysis. Show Breakout Signals: Triangle markers plotted on the chart when breakouts happen. Only Show Today’s Range: Keeps the chart clean by showing only the most current day’s range. 🔹 Color Settings Range High/Low Line Colors: Choose any color for clarity. Range Fill Color: Customize the highlight area for your chart style. 📊 Chart Features Range High/Low Lines: Automatically plotted after range session ends. Visual Fill Box: Optional background shading between the opening range. Triangle Breakout Markers: Appear at the breakout candle. Alerts: Can be used with TradingView’s alert system to notify you of breakouts in real-time. 🔔 Alerts Two alert conditions are built in: Bullish Breakout: Triggers when price breaks above the high of the range. Bearish Breakout: Triggers when price breaks below the low of the range. Example Alert Message: 📈 “Bullish Breakout above Open Range on AAPL!” To activate: Click “🔔 Alerts” on TradingView. Set condition to this script. Choose “ORB Breakout Up” or “ORB Breakout Down”. Choose alert frequency and notification method. ⚠️ DISCLAIMER ChartsAlgo tools are for informational and educational purposes only. They are not financial advice or signals. Past performance does not guarantee future results. Use at your own risk and always implement solid risk management. By using this indicator, you agree that you are solely responsible for any trades or decisions made based on the information provided.
אינדיקטור Pine Script®
מאת ‎ChartsAlgo‎
Market Sentiment Index US Top 40 [Pt]▮Overview Market Sentiment Index US Top 40 [Pt} shows how the largest US stocks behave together. You pick one simple measure—High Low breakouts, Above Below moving average, or RSI overbought/oversold—and see how many of your chosen top 10/20/30/40 NYSE or NASDAQ names are bullish, neutral, or bearish. This tool gives you a quick view of broad-market strength or weakness so you can time trades, confirm trends, and spot hidden shifts in market sentiment. ▮Key Features ► Three Simple Modes High Low Index: counts stocks making new highs or lows over your lookback period Above Below MA: flags stocks trading above or below their moving average RSI Sentiment: marks overbought or oversold stocks and plots a small histogram ► Universe Selection Top 10, 20, 30, or 40 symbols from NYSE or NASDAQ Option to weight by market cap or treat all symbols equally ► Timeframe Choice Use your chart’s timeframe or any intraday, daily, weekly, or monthly resolution ► Histogram Smoothing Two optional moving averages on the sentiment bars Markers show when the faster average crosses above or below the slower one ► Ticker Table Optional on-chart table showing each ticker’s state in color Grid or single-row layout with adjustable text size and color settings ▮Inputs ► Mode and Lookback Pick High Low, Above Below MA, or RSI Sentiment Set lookback length (for example 10 bars) If using Above Below MA, choose the moving average type (EMA, SMA, etc.) ► Universe Setup Market: NYSE or NASDAQ Number of symbols: 10, 20, 30, or 40 Weights: on or off Timeframe: blank to match chart or pick any other ► Moving Averages on Histogram Enable fast and slow averages Set their lengths and types Choose colors for averages and markers ► Table Options Show or hide the symbol table Select text size: tiny, small, or normal Choose layout: grid or one-row Pick colors for bullish, neutral, and bearish cells Show or hide exchange prefixes ▮How to Read It ► Sentiment Bars Green means bullish Red means bearish Near zero means neutral ► Zero Line Separates bullish from bearish readings ► High Low Line (High Low mode only) Smooth ratio of highs versus lows over your lookback ► MA Crosses Fast MA above slow MA hints rising breadth Fast MA below slow MA hints falling breadth ► Ticker Table Each cell colored green, gray, or red for bull, neutral, or bear ▮Use Cases ► Confirm Market Trends Early warning when price makes highs but breadth is weak Catch rallies when breadth turns strong while price is flat ► Spot Sector Rotation Switch between NYSE and NASDAQ to see which group leads Watch tech versus industrial breadth to track money flow ► Filter Trade Signals Enter longs only when breadth is bullish Consider shorts when breadth turns negative ► Combine with Other Indicators Use RSI Sentiment with trend tools to spot overextended moves Add volume indicators in High Low mode for breakout confirmation ► Timeframe Analysis Daily for big-picture bias Intraday (15-min) for precise entries and exits
אינדיקטור Pine Script®
מאת ‎PtGambler‎
1
Intraday Pivot Highs & Lows (Asia London NY)Intraday Pivot Highs & Lows (Asia London NY) Script Description This TradingView indicator is optimized for Forex, scalping, intraday, and day trading strategies. It accurately plots Pivot Points and levels, high/low, support and resistance levels. These are clearly identified to aid the trader during killzone sessions and session opens. Ideal for scalp trading, intraday sessions, and leveraging SMT (Smart Money Techniques). Utilize these Price Levels effectively during London Open, NY Open, and the Asia Session, utilizing Market Structure to pinpoint key levels and reversal zones for successful trading. Improve your Trade Setups, recognize reliable Chart Patterns, identify critical Price Pivots, and trade confidently off Institutional Levels. This script marks the intraday pivot highs, lows and midpoints retracement levels for Asia London New York It also plots the previous day's high, low, midpoint, and 0.618 Fibonacci retracement levels, providing traders with critical price reference points for making intraday trading decisions. Originality & Usefulness This indicator uniquely integrates pivot calculations across three major Forex sessions (Asia, London, NY), clearly delineating session boundaries. It enhances visibility by using distinct styling solid for New York dashed for London dotted lines for Asia And colour co-ordinated labeling, improving traders' ability to identify important intraday price action zones efficiently. Unlike standard pivot indicators, this script emphasizes session-specific trading dynamics. ### Key Features ### Session-Based Levels: Automatically plots high, low, midpoint, and Fibonacci (.618) levels for each major session (Asia, London, NY). Distinct Visual Cues: Lines and labels use session-specific styles and colors to easily differentiate between sessions. Previous Day Reference: Clearly plots and labels yesterday's high, low, midpoint, and Fibonacci levels. Flexible Visibility: Traders can set timeframe visibility to maintain clean charts on higher timeframes. ### How It Works At the start of next day's session, previous session lines are cleared, ensuring the chart remains uncluttered. High, low, midpoint, and Fibonacci retracement levels (.618) are dynamically calculated and displayed at the close of each session. All session levels remain visible until the start of the next respective session, providing continuous actionable insights. Trading Application: Session highs and lows act as strong intraday support and resistance zones. Midpoints and Fibonacci levels are effective for identifying potential reversal zones and retracements. Daily levels provide a broader context, useful for gauging intraday volatility and range. ### Limitations and Considerations ## Best used on liquid assets with clear session-based price action, such as Forex major pairs, if used on indexes make sure they contain 24 hour price action not just New York session. This indicator is designed to streamline intraday trading by clearly marking essential pivot points and session-based levels, significantly improving traders' market context and decision-making accuracy. Can be used to enhance SMT decision making when scalping killzones.
אינדיקטור Pine Script®
מאת ‎Volfgang‎
Opening Range and Market BoundariesOpening Range and Market Boundaries This versatile and insightful indicator combines two powerful concepts frequently used by professional traders: Opening Range Analysis and Market Boundaries derived from previous high/low levels. It is specifically designed to support intraday trading strategies and helps you identify key price zones for entries, exits, and breakout confirmations. 🔍 Features & Utility 1. Opening Range Box What it does: Highlights the high and low of the first candle after market open (9:15 AM IST) with a shaded box. This box spans the full trading session, from 9:15 AM to 3:30 PM, representing the key price range where the initial balance is formed. Timeframe Compatibility: The Opening Range box is optimized for 1-minute to 1-hour charts. It is most effective on lower timeframes (1m, 5m, 15m, 30m) where intraday price movements and breakout patterns can be clearly observed. Usage Tips: Breakouts above or below the Opening Range box can signal potential directional bias for the rest of the trading day. Price consolidating within the range may indicate a choppy or range-bound session. Works well with volume and momentum indicators for confirmation. 2. Market Boundaries What it does: Plots horizontal lines at: Previous Day High/Low Previous Week High/Low Previous Month High/Low Why it matters: These levels act as natural support and resistance zones, and are commonly watched by institutional traders, making them crucial for: Spotting reversals or breakouts Planning stop-loss and target zones Avoiding trades around high-rejection areas Customization Options: Toggle ON/OFF for Daily, Weekly, and Monthly levels. Independent colors and line thickness for each level, enabling you to distinguish between different timeframes easily. 🛠️ How to Use Effectively Use during market open: Switch to a 5-minute or 15-minute chart during the first few candles of the session. Observe the Opening Range box formation and plan trades based on breakout direction. Confluence Trading: Look for price action near previous session highs/lows in confluence with the Opening Range box edges. These intersections often become high-probability zones for breakouts or reversals. Session Preparation: Before the market opens, analyze where the price is relative to past high/low boundaries. If it's near a weekly/monthly level, be cautious — those areas can cause whipsaws or false breakouts. Avoid low-volume breakouts: Use this indicator in conjunction with volume tools or price action confirmation to validate the strength of a move outside the Opening Range or Market Boundaries. 📌 Summary This indicator is designed for intraday traders, scalpers, and swing traders who want a reliable structure to guide their decisions. It visually marks the opening balance of the market and essential higher timeframe boundaries, helping you trade with discipline and precision.
אינדיקטור Pine Script®
מאת ‎jochacko11‎
4
[TTM] ICT Sessions & Ranges🌟 Overview 🌟 The ICT Sessions & Ranges Indicator helps traders identify key intraday price levels by marking custom session highs/lows and opening ranges. It helps traders spot potential liquidity grabs, reversals, and breakout zones by tracking price behavior around these key areas 🌟 Session Highs & Lows – Liquidity Zones 🌟 Session highs and lows often attract price due to stop orders resting above or below them. These levels are frequently targeted during high-volatility moves. 🔹 Asia Session - Usually ranges in low volatility. - Highs/lows often get swept during early London. - Price may raid these levels, then reverse. 🔹 London Session - First major volatility of the day. - Highs/lows often tested or swept in New York. - Commonly forms the day’s true high or low. 🌟 Opening Range Concepts 🌟 The Opening Range is the first 15, 30, or 60 minutes of a session (e.g., New York). The high (ORH) and low (ORL) define the market’s initial balance and key reaction levels. 🔹 Breakout Trade - Price breaks ORH/ORL with momentum. - Signals directional intent. - Traders enter on the breakout, with stops inside the range. 🔹 Liquidity Raid - Price briefly breaks ORH/ORL to trigger stops. - Reverses after the sweep. - Look for structure shift and entry near FVG or OB. 🌟 Customizable Settings 🌟 The indicator includes 3 configurable ranges , each with: Start & End Time – Set any custom time window. Display Type – Choose Box (highlight range) or Lines (mark high/low). Color Settings – Set custom colors for boxes and lines. 🌟 Default Settings 🌟 Range 1 : 19:00–00:00 (Asia Session) Range 2 : 01:45–05:15 (London Session) Range 3 : 09:30–10:00 (NY Opening Range – 30m)
אינדיקטור Pine Script®
מאת ‎TheTickMagnet‎
10
PowerHouse SwiftEdge AI v2.10 with Custom Filters & AI AnalysisPowerHouse SwiftEdge AI v2.10 with Custom Filters & AI Analysis Overview PowerHouse SwiftEdge AI v2.10 is an advanced TradingView Pine Script indicator designed to identify high-probability trading setups by combining pivot-based structure analysis, multi-timeframe trend detection, and adaptive AI-driven signal filtering. The script integrates Change of Character (CHoCH) and Break of Structure (BOS) signals with customizable momentum, volume, breakout, and trend filters to enhance trade precision. Additionally, it offers an optional AI Market Analysis module that predicts future price trends across multiple timeframes, providing traders with a comprehensive market outlook. The script is highly customizable, allowing users to tailor inputs to their trading style, whether for scalping, swing trading, or long-term strategies. It is suitable for all asset classes, including stocks, forex, crypto, and commodities, and performs optimally on timeframes ranging from 1-minute to daily charts. Key Features Pivot-Based Signal Generation: Identifies pivot highs and lows to detect CHoCH (reversal patterns) and BOS (continuation patterns). Signals are plotted as "Buy" or "Sell" labels with optional "Get Ready" pre-signals to prepare traders for potential setups. Take-profit (TP) levels are automatically calculated based on user-defined points, with optional TP box visualization. Multi-Timeframe Trend Analysis: Analyzes trends across seven timeframes (1M, 5M, 15M, 30M, 1H, 4H, D) using EMA and VWAP to determine bullish, bearish, or neutral conditions. Displays a futuristic AI-Trend Matrix dashboard showing trend direction, strength, and confidence levels for quick decision-making. Customizable Signal Filters: Momentum Filter: Ensures signals align with significant price changes, adjusted dynamically using ATR-based volatility. Higher Timeframe Trend Filter: Requires signals to align with the trend of a user-selected higher timeframe (e.g., 1H). Lower Timeframe Trend Filter: Prevents signals that conflict with the trend of a user-selected lower timeframe (e.g., 5M). Volume Filter: Optionally requires above-average volume to confirm signals. Breakout Filter: Optionally requires price to break previous highs/lows for signal validation. Repeated Signal Restriction: Prevents consecutive signals in the same trend direction until the trend changes on a user-defined timeframe. AI-Driven Adaptivity: Incorporates Cumulative Volume Delta (CVD) to assess buying/selling pressure and classify market volatility (Low, Medium, High). Uses ATR to dynamically adjust momentum thresholds, ensuring signals adapt to current market conditions. Optional AI Market Analysis module predicts trends across multiple timeframes by combining trend, momentum, and volatility scores. Visual Elements: Plots CHoCH and BOS levels as horizontal lines with distinct colors (aqua for CHoCH sell, lime for CHoCH buy, fuchsia for BOS sell, teal for BOS buy). Draws dynamic support and resistance trendlines based on short and long-term price action, colored by trend strength. Displays TP levels and pivot highs/lows for easy reference. How It Works The script combines several technical analysis concepts to create a robust trading system: Market Structure Analysis: Pivot highs and lows are identified using a user-defined lookback period (Pivot Length). CHoCH occurs when price crosses below a pivot high (bearish reversal) or above a pivot low (bullish reversal). BOS occurs when price breaks a previous pivot low (bearish continuation) or pivot high (bullish continuation). Trend and Momentum Integration: Trends are determined by comparing price to EMA and VWAP on multiple timeframes. Momentum is calculated as the percentage price change, with thresholds adjusted by ATR to account for volatility. "Get Ready" signals appear when momentum approaches the threshold, preparing traders for potential CHoCH or BOS signals. Signal Filtering: Filters ensure signals align with user-defined criteria (e.g., trend direction, volume, breakouts). The Restrict Repeated Signals option prevents over-signaling by requiring a trend change on a specified timeframe before generating a new signal in the same direction. AI Market Analysis: The optional AI module calculates a score for each timeframe based on trend direction, momentum, and volatility (ATR compared to its SMA). Scores are translated into predictions (▲ for bullish, ▼ for bearish, — for neutral), displayed in a dedicated table. CVD and Volatility Context: CVD tracks buying vs. selling pressure by accumulating volume based on price direction. Volatility is classified using CVD magnitude, influencing the script’s visual cues and signal sensitivity. Why This Combination? The integration of pivot-based structure analysis, multi-timeframe trend filtering, and AI-driven adaptivity addresses common trading challenges: Precision: CHoCH and BOS signals focus on key market turning points, reducing noise from minor price fluctuations. Context: Multi-timeframe analysis ensures trades align with broader market trends, improving win rates. Adaptivity: ATR and CVD adjustments make the script responsive to changing market conditions, avoiding static thresholds that fail in volatile or quiet markets. Customization: Extensive input options allow traders to adapt the script to their preferred markets, timeframes, and risk profiles. Predictive Insight: The AI Market Analysis module provides forward-looking trend predictions, helping traders anticipate market moves. This combination creates a self-contained system that balances responsiveness with reliability, making it suitable for both novice and experienced traders. How to Use Add to Chart: Apply the indicator to your TradingView chart for any asset and timeframe. Recommended timeframes: 5M to 1H for scalping/day trading, 4H to D for swing trading. Configure Inputs: Pivot Length: Adjust (default 5) to control sensitivity to pivot highs/lows. Lower values for faster signals, higher for stronger confirmations. Momentum Threshold: Set the minimum price change (default 0.01%) for signals. Increase for stricter conditions. Take Profit Points: Define TP distance (default 10 points). Adjust based on asset volatility. Signal Filters: Enable/disable filters (momentum, trend, volume, breakout) to match your strategy. Higher/Lower Timeframe: Select timeframes for trend alignment (e.g., 1H for higher, 5M for lower). AI Market Analysis: Enable for predictive trend insights across timeframes. Get Ready Signals: Enable to see pre-signals for potential setups. Interpret Signals: Buy/Sell Labels: Act on green "Buy" or red "Sell" labels, confirming with TP levels and trend direction. Get Ready Labels: Yellow "Get Ready BUY" or orange "Get Ready SELL" indicate potential setups; prepare but wait for confirmation. CHoCH/BOS Lines: Use aqua/lime (CHoCH) and fuchsia/teal (BOS) lines as key support/resistance levels. AI-Trend Matrix: Check the top-right dashboard for trend strength (%), confidence (%), and timeframe-specific trends. AI Market Analysis Table: If enabled, view predictions (▲/▼/—) for each timeframe to anticipate market direction. Trading Tips: Combine signals with other indicators (e.g., RSI, MACD) for additional confirmation. Use higher timeframe trend alignment for higher-probability trades. Adjust TP and signal distance based on asset volatility and trading style. Monitor the AI-Trend Matrix for trend strength; values above 50% or below -50% indicate strong directional bias. Originality PowerHouse SwiftEdge AI v2.10 stands out due to its unique blend of: Adaptive Signal Generation: ATR-based momentum thresholds and CVD-driven volatility context ensure signals remain relevant across market conditions. Multi-Timeframe Synergy: The script’s ability to filter signals based on both higher and lower timeframe trends provides a rare balance of precision and context. AI-Powered Insights: The AI Market Analysis module offers predictive capabilities not commonly found in traditional indicators, simulating institutional-grade analysis. Visual Clarity: The futuristic dashboard and color-coded trendlines make complex data accessible, enhancing usability for all trader levels. Unlike standalone pivot or trend indicators, this script integrates multiple layers of analysis into a cohesive system, reducing false signals and providing actionable insights without requiring external tools or research. Limitations False Signals: No indicator is foolproof; signals may fail in choppy or low-volume markets. Use filters to mitigate. Timeframe Sensitivity: Performance varies by timeframe and asset. Test settings thoroughly. AI Predictions: The AI Market Analysis is based on historical data and simplified scoring; it’s not a guaranteed forecast. Resource Usage: Enabling all filters and AI analysis may slow performance on lower-end devices.
אינדיקטור Pine Script®
מאת ‎SwiftEdge‎
19
SMT SwiftEdge PowerhouseSMT SwiftEdge Powerhouse: Precision Trading with Divergence, Liquidity Grabs, and OTE Zones The SMT SwiftEdge Powerhouse is a powerful trading tool designed to help traders identify high-probability entry points during the most active market sessions—London and New York. By combining Smart Money Technique (SMT) Divergence, Liquidity Grabs, and Optimal Trade Entry (OTE) Zones, this script provides a unique and cohesive strategy for capturing market reversals with precision. Whether you're a scalper or a swing trader, this indicator offers clear visual signals to enhance your trading decisions on any timeframe. What Does This Script Do? This script integrates three key concepts to identify potential trading opportunities: SMT Divergence: SMT Divergence compares the price action of two correlated assets (e.g., Nasdaq and S&P 500 futures) to detect hidden market reversals. When one asset makes a higher high while the other makes a lower high (bearish divergence), or one makes a lower low while the other makes a higher low (bullish divergence), it signals a potential reversal. This technique leverages institutional "smart money" behavior to anticipate market shifts. Liquidity Grabs: Liquidity Grabs occur when price breaks above recent highs or below recent lows on higher timeframes (5m and 15m), often triggering stop-loss orders from retail traders. These breakouts are identified using pivot points and confirm institutional activity, setting the stage for a reversal. The script focuses on liquidity grabs during the London and New York sessions for maximum market activity. Optimal Trade Entry (OTE) Zones: OTE Zones are Fibonacci-based retracement areas (e.g., 61.8%) calculated after a liquidity grab. These zones highlight where price is likely to retrace before continuing in the direction of the reversal, offering a high-probability entry point. The script adjusts the width of these zones using the Average True Range (ATR) to adapt to market volatility. By combining these components, the script identifies when institutional activity (liquidity grabs) aligns with market reversals (SMT divergence) and pinpoints precise entry points (OTE zones) during high-liquidity sessions. Why Combine These Components? The integration of SMT Divergence, Liquidity Grabs, and OTE Zones creates a robust trading system for several reasons: Synergy of Institutional Signals: SMT Divergence and Liquidity Grabs both reflect "smart money" behavior—divergence shows hidden reversals, while liquidity grabs confirm institutional intent to trap retail traders. Together, they provide a strong foundation for identifying high-probability setups. Session-Based Precision: Focusing on the London and New York sessions ensures signals occur during periods of high volatility and liquidity, increasing their reliability. Precision Entries with OTE: After confirming a setup with divergence and liquidity grabs, OTE zones provide a clear entry area, reducing guesswork and improving trade accuracy. Adaptability: The script works on any timeframe, with adjustable settings for signal sensitivity, session times, and Fibonacci levels, making it versatile for different trading styles. This combination makes the script unique by aligning institutional insights with actionable entry points, tailored to the most active market hours. How to Use the Script Setup: Add the script to your chart (works on any timeframe, e.g., 1m, 5m, 15m). Configure the settings in the indicator's inputs: Session Settings: Adjust the start/end times for London and New York sessions (default: London 8-11 UTC, New York 13-16 UTC). You can disable session restrictions if desired. Asset Settings: Set the primary and secondary assets for SMT Divergence (default: NQ1! and ES1!). Ensure the assets are correlated. Signal Settings: Adjust the lookback period, ATR period, and signal sensitivity (Low/Medium/High) to control the frequency of signals. OTE Settings: Choose the Fibonacci level for OTE zones (default: 61.8%). Visual Settings: Enable/disable OTE zones, SMT labels, and debug labels for troubleshooting. Interpreting Signals: Blue Circles: Indicate a liquidity grab (price breaking a 5m or 15m pivot high/low), marking the start of a potential setup. Blue OTE Zones: Appear after a liquidity grab, showing the retracement area (e.g., 61.8% Fibonacci level) where price is likely to enter for a reversal trade. The label "OTE Trigger 5m/15m" confirms the direction (Short/Long) and session. Green/Red Entry Boxes: Mark precise entry points when price enters the OTE zone and confirms the SMT Divergence. Green boxes indicate a long entry, red boxes a short entry. Trading Example: On a 1m chart, a blue circle appears when price breaks a 5m pivot high during the London session. A blue OTE zone forms, showing a retracement area (e.g., 61.8% Fibonacci level) with the label "OTE Trigger 5m/15m (Short, London)". Price retraces into the OTE zone, and a red "Short Entry" box appears, confirming a bearish SMT Divergence. Enter a short trade at the red box, with a stop-loss above the OTE zone and a take-profit at the next support level. Originality and Utility The SMT SwiftEdge Powerhouse stands out by merging SMT Divergence, Liquidity Grabs, and OTE Zones into a single, session-focused indicator. Unlike traditional indicators that focus on one aspect of price action, this script combines institutional reversal signals with precise entry zones, tailored to the most active market hours. Its adaptability across timeframes, customizable settings, and clear visual cues make it a versatile tool for traders seeking to capitalize on smart money movements with confidence. Tips for Best Results Use on correlated assets like NQ1! (Nasdaq futures) and ES1! (S&P 500 futures) for accurate SMT Divergence. Test on lower timeframes (1m, 5m) for scalping or higher timeframes (15m, 1H) for swing trading. Adjust the "Signal Sensitivity" to "High" for more signals or "Low" for fewer, high-quality setups. Enable "Show Debug Labels" if signals are not appearing as expected, to troubleshoot pivot points and liquidity grabs.
אינדיקטור Pine Script®
מאת ‎SwiftEdge‎
SMC+The "SMC+" indicator is a comprehensive tool designed to overlay key Smart Money Concepts (SMC) levels, support/resistance zones, order blocks (OB), fair value gaps (FVG), and trap detection on your TradingView chart. It aims to assist traders in identifying potential areas of interest based on price action, swing structures, and volume dynamics across multiple timeframes. This indicator is fully customizable, allowing users to adjust lookback periods, colors, opacity, and sensitivity to suit their trading style. Key Components and Functionality 1. Key Levels (Support and Resistance) This section plots horizontal lines representing support and resistance levels based on highs and lows over three distinct lookback periods, plus daily nearest levels. Short-Term Lookback Period (Default: 20 bars) Plots the highest high (short_high) and lowest low (short_low) over the specified period. Visualized as dotted lines with customizable colors (Short-Term Resistance Color, Short-Term Support Color) and opacity (Short-Term Resistance Opacity, Short-Term Support Opacity). Adjustment Tip: Increase the lookback (e.g., to 30-50) for less frequent but stronger levels on higher timeframes, or decrease (e.g., to 10-15) for scalping on lower timeframes. Long-Term Lookback Period (Default: 50 bars) Plots broader support (long_low) and resistance (long_high) levels using a solid line style. Customizable via Long-Term Resistance Color, Long-Term Support Color, and their respective opacity settings. Adjustment Tip: Extend to 100-200 bars for swing trading or major trend analysis on daily/weekly charts. Extra-Long Lookback Period (Default: 100 bars) Identifies significant historical highs (extra_long_high) and lows (extra_long_low) with dashed lines. Configurable with Extra-Long Resistance Color, Extra-Long Support Color, and opacity settings. Adjustment Tip: Use 200-500 bars for monthly charts to capture macro-level key zones. Daily Nearest Resistance and Support Levels Dynamically calculates the nearest resistance (daily_res_level) and support (daily_sup_level) based on the current day’s price action relative to historical highs and lows. Displayed with Daily Resistance Color and Daily Support Color (with opacity options). Adjustment Tip: Works best on intraday charts (e.g., 15m, 1h) to track daily pivots; combine with volume profile for confirmation. How It Works: These levels update dynamically as new highs/lows form, providing a visual guide to potential reversal or breakout zones. 2. SMC Inputs (Smart Money Concepts) This section identifies swing structures, order blocks, fair value gaps, and entry signals based on SMC principles. SMC Swing Lookback Period (Default: 12 bars) Defines the period for detecting swing highs (smc_swing_high) and lows (smc_swing_low). Adjustment Tip: Increase to 20-30 for smoother swings on higher timeframes; reduce to 5-10 for faster signals on lower timeframes. Minimum Swing Size (%) (Default: 0.5%) Filters out minor price movements to focus on significant swings. Adjustment Tip: Raise to 1-2% for volatile markets (e.g., crypto) to avoid noise; lower to 0.2-0.3% for forex pairs with tight ranges. Order Block Sensitivity (Default: 1.0) Scales the size of detected order blocks (OBs) for bullish reversal (smc_ob_bull), bearish reversal (smc_ob_bear), and continuation (smc_cont_ob). Visuals include customizable colors, opacity, border thickness, and blinking effects (e.g., SMC Bullish Reversal OB Color, SMC Bearish Reversal OB Blink Thickness). Adjustment Tip: Increase to 1.5-2.0 for wider OBs in choppy markets; keep at 1.0 for precision in trending conditions. Minimum FVG Size (%) (Default: 0.3%) Sets the minimum gap size for Fair Value Gaps (fvg_high, fvg_low), displayed as boxes with Fair Value Gap Color and FVG Opacity. Adjustment Tip: Increase to 0.5-1% for larger, more reliable gaps; decrease to 0.1-0.2% for scalping smaller inefficiencies. How It Works: Bullish Reversal OB: Detects a bearish candle followed by a bullish break, marking a potential demand zone. Bearish Reversal OB: Identifies a bullish candle followed by a bearish break, marking a supply zone. Continuation OB: Spots strong bullish momentum after a prior high, indicating a continuation zone. FVG: Highlights bullish gaps where price may retrace to fill. Entry Signals: Plots triangles (SMC Long Entry) when price retests an OB with a liquidity sweep or break of structure (BOS). 3. Trap Inputs This section detects potential bull and bear traps based on price action, volume, and key level rejections. Min Down Move for Bear Trap (%) (Default: 1.0%) Sets the minimum drop required after a bearish OB to qualify as a trap. Visualized with Bear Trap Color, Bear Trap Opacity, and blinking borders. Adjustment Tip: Increase to 2-3% for stronger traps in trending markets; lower to 0.5% for ranging conditions. Min Up Move for Bull Trap (%) (Default: 1.0%) Sets the minimum rise required after a bullish OB to flag a trap. Customizable with Bull Trap Color, Bull Trap Border Thickness, etc. Adjustment Tip: Adjust similarly to bear traps based on market volatility. Volume Lookback for Traps (Default: 5 bars) Compares current volume to a moving average (avg_volume) to filter low-volume traps. Adjustment Tip: Increase to 10-20 for confirmation on higher timeframes; reduce to 3 for intraday sensitivity. How It Works: Bear Trap: Triggers when price drops significantly after a bearish OB but reverses up with low volume or support rejection. Bull Trap: Activates when price rises after a bullish OB but fails with low volume or resistance rejection. Boxes highlight trap zones, resetting when price breaks out. 4. Visual Customization Line Width (Default: 2) Adjusts thickness of support/resistance lines. Tip: Increase to 3-4 for visibility on cluttered charts. Blink On (Default: Close) Sets whether OB/FVG borders blink based on Open or Close price interaction. Tip: Use "Open" for intraday precision; "Close" for confirmed reactions. Colors and Opacity: Each element (OBs, FVGs, traps, key levels) has customizable colors, opacity (0-100), border thickness (1-5 or 1-7), and blink effects for dynamic visualization. How to Use SMC+ Setup: Apply the indicator to any chart and adjust inputs based on your timeframe and market. Key Levels: Watch for price reactions at short, long, extra-long, or daily levels for potential reversals or breakouts. SMC Signals: Look for entry signals (triangles) near OBs or FVGs, confirmed by liquidity sweeps or BOS. Traps: Avoid false breakouts by monitoring trap boxes, especially near key levels with low volume. Notes: This indicator is a visual aid and does not guarantee trading success. Combine it with other analysis tools and risk management strategies. Performance may vary across markets and timeframes; test settings thoroughly before use. For optimal results, experiment with lookback periods and sensitivity settings to match your trading style. The default settings are optimal for 1 minute and 10 second time frames for small cap low float stocks. Continuation OB are Blue. Bullish Reversal OB color is Green Bearish Reversal OB color is Red FVG color is purple Bear Trap OB is red with a green border and often appears with a Bearish Reversal OB signaling caution to a short position. Bull trap OB is green with a Red border signaling caution to a long position. All active OB area are highlighted and solid in color while other non active OB area are dimmed. My personal favorite setups are when we have an active bullish reversal with an active FVG along with an active Continuation OB. Another personal favorite is the Bearish reversal OB signaling an end to a recent uptrend. The Trap OB detection are also a unique and Original helpful source of information. The OB have a white boarder by default that are colored black giving a simulated blinking effect when price is acting in that zone. The Trap OB border are colored with respect to direction of intended trap, all of which can be customized to personal style. All vaild OB zones are shown compact in size ,a unique and original view until its no longer valid.
אינדיקטור Pine Script®
מאת ‎kwsatterfield1‎
Liquidity Heatmap SwiftEdgeDescription Liquidity Heatmap with Buy/Sell Side (Blue/Red) is a technical analysis tool designed to help traders identify potential liquidity zones in the market by combining swing high/low detection with volume analysis, visualized as a heatmap overlay on the chart. This script highlights areas where significant buying or selling pressure may exist, often acting as support or resistance levels, and provides a clear visual representation of these zones using color-coded heatmap boxes and labeled bubbles. What It Does The script identifies key price levels (swing highs and lows) where liquidity is likely to be concentrated, such as stop-loss clusters or pending orders. These levels are then grouped into a heatmap, with blue zones representing potential buy-side liquidity (below the current price) and red zones indicating sell-side liquidity (above the current price). Each zone is marked with a bubble showing the estimated liquidity amount, derived from volume data, to help traders gauge the strength of the level. How It Works The script combines three main components to create a comprehensive liquidity visualization: Swing Highs and Lows Detection: The script uses the ta.pivothigh and ta.pivotlow functions to identify swing highs and lows over a user-defined lookback period (Swing Length). These levels often represent areas where price has reversed, indicating potential liquidity zones where stop-losses or pending orders may be placed. Volume Analysis: Volume data at each swing high/low is captured and averaged over a specified period (Volume Average Length). This volume is then scaled using a multiplier (Volume Multiplier for Liquidity) to estimate the liquidity amount at each level, displayed in thousands (e.g., "10K") on the chart via labeled bubbles. Heatmap Visualization: The identified levels are grouped into price bins to form a heatmap. The price range is divided into a user-defined number of bins (Number of Heatmap Bins), and each bin is drawn as a colored box (blue for buy-side, red for sell-side). The transparency of the heatmap boxes can be adjusted (Heatmap Transparency) to ensure they do not obscure the price action. Why Combine These Components? The combination of swing highs/lows, volume analysis, and a heatmap provides a powerful way to visualize liquidity in the market. Swing highs and lows are natural points where liquidity tends to accumulate, as they often coincide with areas where traders place stop-losses or pending orders. By incorporating volume data, the script quantifies the potential strength of these levels, giving traders insight into the magnitude of liquidity present. The heatmap visualization then aggregates these levels into a clear, color-coded overlay, making it easy to see where buy-side and sell-side liquidity is concentrated without cluttering the chart. This mashup is particularly useful because it bridges price action (swing levels), market activity (volume), and visual clarity (heatmap), offering a holistic view of potential support and resistance zones that might influence price movements. How to Use It Add the Indicator to Your Chart: Apply the script to your chart by adding it from the Pine Script library. It will overlay directly on your price chart. Interpret the Heatmap: Blue Zones (Buy-Side Liquidity): These appear below the current price and indicate levels where buying pressure or stop-losses from short positions may be located. Red Zones (Sell-Side Liquidity): These appear above the current price and indicate levels where selling pressure or stop-losses from long positions may be located. The intensity of the color is controlled by the Heatmap Transparency setting—lower values make the zones more opaque, while higher values make them more transparent. Analyze the Bubbles: Each liquidity zone is marked with a bubble showing the estimated liquidity amount in thousands (e.g., "10K"). The size of the bubble is scaled by the Bubble Size Multiplier, with larger bubbles indicating higher liquidity. Adjust Settings for Your Needs: Liquidity Settings: Swing Length: Controls the lookback period for detecting swing highs and lows. A smaller value (e.g., 10) is better for shorter timeframes like 1-minute charts, while a larger value (e.g., 50) suits higher timeframes. Liquidity Threshold: Defines how close two levels must be to be considered the same, preventing duplicate zones. Volume Average Length: Sets the period for averaging volume data at swing points. Volume Multiplier for Liquidity: Scales the volume to estimate liquidity amounts shown in the bubbles. Lookback Period (Hours): Limits how far back the script looks for liquidity zones. Use Price Window Filter: If enabled, only shows zones within a price range defined by Liquidity Window (Points per Side). Heatmap Settings: Number of Heatmap Bins: Determines how many price bins the heatmap is divided into. More bins create a finer resolution but may clutter the chart. Heatmap Bin Height (Points): Sets the vertical height of each heatmap box in price points. Heatmap Transparency: Adjusts the transparency of the heatmap boxes (0 = fully opaque, 100 = fully transparent). Display Settings: Bubble Size Multiplier: Scales the size of the bubbles showing liquidity amounts. Trading Application: Use the heatmap to identify potential support (blue zones) and resistance (red zones) levels where price may react. Pay attention to zones with larger bubbles, as they indicate higher liquidity and may have a stronger impact on price. Combine with other analysis tools (e.g., trendlines, indicators) to confirm trade setups. What Makes It Original? This script stands out by integrating swing high/low detection with volume-based liquidity estimation and a heatmap visualization in a single tool. Unlike traditional support/resistance indicators that only plot static lines, this script dynamically aggregates liquidity zones into a heatmap, making it easier to see clusters of potential buying or selling pressure. The addition of volume-derived liquidity amounts in labeled bubbles provides a unique quantitative measure of each zone's strength, helping traders prioritize key levels. The color-coded buy/sell distinction further enhances its utility by visually separating zones based on their likely market impact. Example Use Case On a 1-minute chart of EUR/USD, you might set Swing Length to 10 to capture short-term pivots, Lookback Period (Hours) to 4 to focus on recent data, and Liquidity Window to 200 points (20 pips) to show only nearby zones. The heatmap will then display blue zones below the current price where buy-side liquidity may act as support, and red zones above where sell-side liquidity may act as resistance. A bubble showing "50K" at a blue zone indicates significant buy-side liquidity, suggesting a potential bounce if the price approaches that level.
אינדיקטור Pine Script®
מאת ‎SwiftEdge‎
5
Pivot S/R with Volatility Filter## *📌 Indicator Purpose* This indicator identifies *key support/resistance levels* using pivot points while also: ✅ Detecting *high-volume liquidity traps* (stop hunts) ✅ Filtering insignificant pivots via *ATR (Average True Range) volatility* ✅ Tracking *test counts and breakouts* to measure level strength --- ## *⚙ SETTINGS – Detailed Breakdown* ### *1️⃣ ◆ General Settings* #### *🔹 Pivot Length* - *Purpose:* Determines how many bars to analyze when identifying pivots. - *Usage:* - *Low values (5-20):* More pivots, better for scalping. - *High values (50-200):* Fewer but stronger levels for swing trading. - *Example:* - Pivot Length = 50 → Only the most significant highs/lows over 50 bars are marked. #### *🔹 Test Threshold (Max Test Count)* - *Purpose:* Sets how many times a level can be tested before being invalidated. - *Example:* - Test Threshold = 3 → After 3 tests, the level is ignored (likely to break). #### *🔹 Zone Range* - *Purpose:* Creates a price buffer around pivots (±0.001 by default). - *Why?* Markets often respect "zones" rather than exact prices. --- ### *2️⃣ ◆ Volatility Filter (ATR)* #### *🔹 ATR Period* - *Purpose:* Smoothing period for Average True Range calculation. - *Default:* 14 (standard for volatility measurement). #### *🔹 ATR Multiplier (Min Move)* - *Purpose:* Requires pivots to show *meaningful price movement*. - *Formula:* Min Move = ATR × Multiplier - *Example:* - ATR = 10 pips, Multiplier = 1.5 → Only pivots with *15+ pip swings* are valid. #### *🔹 Show ATR Filter Info* - Displays current ATR and minimum move requirements on the chart. --- ### *3️⃣ ◆ Volume Analysis* #### *🔹 Volume Change Threshold (%)* - *Purpose:* Filters for *unusual volume spikes* (institutional activity). - *Example:* - Threshold = 1.2 → Requires *120% of average volume* to confirm signals. #### *🔹 Volume MA Period* - *Purpose:* Lookback period for "normal" volume calculation. --- ### *4️⃣ ◆ Wick Analysis* #### *🔹 Wick Length Threshold (Ratio)* - *Purpose:* Ensures rejection candles have *long wicks* (strong reversals). - *Formula:* Wick Ratio = (Upper Wick + Lower Wick) / Candle Range - *Example:* - Threshold = 0.6 → 60% of the candle must be wicks. #### *🔹 Min Wick Size (ATR %)* - *Purpose:* Filters out small wicks in volatile markets. - *Example:* - ATR = 20 pips, MinWickSize = 1% → Wicks under *0.2 pips* are ignored. --- ### *5️⃣ ◆ Display Settings* - *Show Zones:* Toggles support/resistance shaded areas. - *Show Traps:* Highlights liquidity traps (▲/▼ symbols). - *Show Tests:* Displays how many times levels were tested. - *Zone Transparency:* Adjusts opacity of zones. --- ## *🎯 Practical Use Cases* ### *1️⃣ Liquidity Trap Detection* - *Scenario:* Price spikes *above resistance* then reverses sharply. - *Requirements:* - Long wick (Wick Ratio > 0.6) - High volume (Volume > Threshold) - *Outcome:* *Short Trap* signal (▼) appears. ### *2️⃣ Strong Support Level* - *Scenario:* Price bounces *3 times* from the same level. - *Indicator Action:* - Labels the level with test count (3/5 = 3 tests out of max 5). - Turns *red* if broken (Break Count > 0). Deep Dive: How This Indicator Works* This indicator combines *four professional trading concepts* into one powerful tool: 1. *Classic Pivot Point Theory* - Identifies swing highs/lows where price previously reversed - Unlike basic pivot indicators, ours uses *confirmed pivots only* (filtered by ATR) 2. *Volume-Weighted Validation* - Requires unusual trading volume to confirm levels - Filters out "phantom" levels with low participation 3. *ATR Volatility Filtering* - Eliminates insignificant price swings in choppy markets - Ensures only meaningful levels are plotted 4. *Liquidity Trap Detection* - Spots institutional stop hunts where markets fake out traders - Uses wick analysis + volume spikes for high-probability signals --- Deep Dive: How This Indicator Works* This indicator combines *four professional trading concepts* into one powerful tool: 1. *Classic Pivot Point Theory* - Identifies swing highs/lows where price previously reversed - Unlike basic pivot indicators, ours uses *confirmed pivots only* (filtered by ATR) 2. *Volume-Weighted Validation* - Requires unusual trading volume to confirm levels - Filters out "phantom" levels with low participation 3. *ATR Volatility Filtering* - Eliminates insignificant price swings in choppy markets - Ensures only meaningful levels are plotted 4. *Liquidity Trap Detection* - Spots institutional stop hunts where markets fake out traders - Uses wick analysis + volume spikes for high-probability signals --- ## *📊 Parameter Encyclopedia (Expanded)* ### *1️⃣ Pivot Engine Settings* #### *Pivot Length (50)* - *What It Does:* Determines how many bars to analyze when searching for swing highs/lows. - *Professional Adjustment Guide:* | Trading Style | Recommended Value | Why? | |--------------|------------------|------| | Scalping | 10-20 | Captures short-term levels | | Day Trading | 30-50 | Balanced approach | | Swing Trading| 50-200 | Focuses on major levels | - *Real Market Example:* On NASDAQ 5-minute chart: - Length=20: Identifies levels holding for ~2 hours - Length=50: Finds levels respected for entire trading day #### *Test Threshold (5)* - *Advanced Insight:* Institutions often test levels 3-5 times before breaking them. This setting mimics the "probe and push" strategy used by smart money. - *Psychology Behind It:* Retail traders typically give up after 2-3 tests, while institutions keep testing until stops are run. --- ### *2️⃣ Volatility Filter System* #### *ATR Multiplier (1.0)* - *Professional Formula:* Minimum Valid Swing = ATR(14) × Multiplier - *Market-Specific Recommendations:* | Market Type | Optimal Multiplier | |------------------|--------------------| | Forex Majors | 0.8-1.2 | | Crypto (BTC/ETH) | 1.5-2.5 | | SP500 Stocks | 1.0-1.5 | - *Why It Matters:* In EUR/USD (ATR=10 pips): - Multiplier=1.0 → Requires 10 pip swings - Multiplier=1.5 → Requires 15 pip swings (fewer but higher quality levels) --- ### *3️⃣ Volume Confirmation System* #### *Volume Threshold (1.2)* - *Institutional Benchmark:* - 1.2x = Moderate institutional interest - 1.5x+ = Strong smart money activity - *Volume Spike Case Study:* *Before Apple Earnings:* - Normal volume: 2M shares - Spike threshold (1.2): 2.4M shares - Actual volume: 3.1M shares → STRONG confirmation --- ### *4️⃣ Liquidity Trap Detection* #### *Wick Analysis System* - *Two-Filter Verification:* 1. *Wick Ratio (0.6):* - Ensures majority of candle shows rejection - Formula: (UpperWick + LowerWick) / Total Range > 0.6 2. *Min Wick Size (1% ATR):* - Prevents false signals in flat markets - Example: ATR=20 pips → Min wick=0.2 pips - *Trap Identification Flowchart:* Price Enters Zone → Spikes Beyond Level → Shows Long Wick → Volume > Threshold → TRAP CONFIRMED --- ## *💡 Master-Level Usage Techniques* ### *Institutional Order Flow Analysis* 1. *Step 1:* Identify pivot levels with ≥3 tests 2. *Step 2:* Watch for volume contraction near levels 3. *Step 3:* Enter when trap signal appears with: - Wick > 2×ATR - Volume > 1.5× average ### *Multi-Timeframe Confirmation* 1. *Higher TF:* Find weekly/monthly pivots 2. *Lower TF:* Use this indicator for precise entries 3. *Example:* - Weekly pivot at $180 - 4H shows liquidity trap → High-probability reversal --- ## *⚠ Critical Mistakes to Avoid* 1. *Using Default Settings Everywhere* - Crude oil needs higher ATR multiplier than bonds 2. *Ignoring Trap Context* - Traps work best at: - All-time highs/lows - Major psychological numbers (00/50 levels) 3. *Overlooking Cumulative Volume* - Check if volume is building over multiple tests
אינדיקטור Pine Script®
מאת ‎doganayy2‎
SessionRangeLevels_v0.1SessionRangeLevels_v0.1 Overview: SessionRangeLevels_v0.1 is a customizable Pine Script (v6) indicator designed to plot key price levels based on a user-defined trading session. It identifies the high and low of the session and calculates intermediate levels (75%, 50% "EQ", and 25%) within that range. These levels are projected forward as horizontal lines with accompanying labels, providing traders with dynamic support and resistance zones. The indicator supports extensive customization for session timing, time zones, line styles, colors, and more. Key Features: Session-Based Range Detection: Tracks the high and low prices during a specified session (e.g., 0600-0900) and updates them dynamically as the session progresses. Customizable Levels: Displays High, 75%, EQ (50%), 25%, and Low levels, each with independent toggle options, styles (Solid, Dashed, Dotted), colors, and widths. Session Anchor: Optional vertical line marking the session start, with customizable style, color, and width. Projection Offset: Extends level lines forward by a user-defined number of bars (default: 24) for future price reference. Labels: Toggleable labels for each level (e.g., "High," "75%," "EQ") with adjustable size (Tiny, Small, Normal, Large). Time Zone Support: Aligns session timing to a selected time zone (e.g., America/New_York, UTC, Asia/Tokyo, etc.). Alert Conditions: Triggers alerts when the price crosses any of the plotted levels (High, 75%, EQ, 25%, Low). Inputs: Session Time (HHMM-HHMM): Define the session range (e.g., "0600-0900" for 6:00 AM to 9:00 AM). Time Zone: Choose from options like UTC, America/New_York, Europe/London, etc. Anchor Settings: Toggle the session start line, adjust its style (default: Dotted), color (default: Black), and width (default: 1). Level Settings: High (Solid, Black, Width 2) 75% (Dotted, Blue, Width 1) EQ/50% (Dotted, Orange, Width 1) 25% (Dotted, Blue, Width 1) Low (Solid, Black, Width 2) Each level includes options to show/hide, set style, color, width, and label visibility. Projection Offset: Number of bars to extend lines (default: 24). Label Size: Set label size (default: Small). How It Works: The indicator detects the start and end of the user-defined session based on the specified time and time zone. During the session, it tracks the highest high and lowest low, updating the levels in real-time. At the session start, it plots the High, Low, and intermediate levels (75%, 50%, 25%), projecting them forward. Lines and labels dynamically adjust as new highs or lows occur within the session. Alerts notify users when the price crosses any active level. Usage: Ideal for traders who focus on session-based strategies (e.g., London or New York open). Use it to identify key price zones, monitor breakouts, or set targets. Customize the appearance to suit your chart preferences and enable alerts for real-time trading signals. Notes: Ensure your chart’s timeframe aligns with your session duration for optimal results (e.g., 1-minute or 5-minute charts for short sessions). The indicator overlays directly on the price chart for easy integration with other tools.
אינדיקטור Pine Script®
מאת ‎dc_77‎
Advanced Session Profile Predictor with SR Boxes & ORAdvanced Session Profile Predictor with Momentum Arrows Designed for intraday traders, this indicator analyzes price action across Asia, London, and New York sessions to predict market profiles and highlight key trading opportunities. By combining session-based profiling, Opening Range (OR) visualization, and momentum signals from Traders Dynamic Index (TDI), it offers a unique tool for anticipating trends, reversals, and breakouts. Ideal for forex, indices, and crypto on 15M–1H charts. What Makes This Indicator Unique? Unlike typical session indicators that only mark time zones or standard TDI scripts that focus on momentum, this tool: Predicts market profiles (e.g., "Trend Continuation," "NY Manipulation") by analyzing session ranges and directional moves, offering actionable insights into how sessions interact. Visualizes Opening Range (OR) boxes for the first 15 minutes of each session, helping traders spot early breakout levels. Integrates TDI with momentum to generate precise bullish/bearish arrows, filtered by session context for improved reliability. Simplifies decision-making with dynamic profile labels showing real-time long/short conditions based on price levels. How Does It Work? Session Tracking: Asia (00:00–08:00 UTC, yellow), London (08:00–16:00 UTC, red), and New York (13:00–21:00 UTC, blue) sessions are highlighted with background colors and high/low lines (crosses). OR boxes (first 15 minutes) are drawn for each session: yellow for Asia, red for London, blue for NY. Profile Prediction: Compares Asia and London session ranges and directions (e.g., trending if range > 1.5x 5-period SMA). Examples: Trend Continuation: Asia and London trend in the same direction—long above Asia high (uptrend) or short below Asia low (downtrend). NY Manipulation: Asia trends, London consolidates—watch for NY breakouts at London high/low. Displays the predicted profile and entry conditions in labels (e.g., "IF price hits 1.2000 LONG"). Momentum Arrows: Uses TDI (RSI period 21, bands 34, fast MA 2) and 12-period momentum. Green up arrow: Fast MA > upper band (>68) and momentum rising (bullish). Red down arrow: Fast MA < lower band (<32) and momentum falling (bearish). Support/Resistance (SR): Plots dynamic SR boxes based on pivot highs/lows, filtered by volume (inspired by ChartPrime’s methodology, credited below). How to Use It Setup: Apply to a 15M–1H chart. Adjust time zone (default: UTC) and session times if needed. Customize TDI/momentum settings for sensitivity. Trading: Check the top-right labels for the current profile and entry conditions (e.g., "IF price hits LONG/SHORT"). Confirm entries with green up arrows (bullish) or red down arrows (bearish). Use OR boxes and session high/low lines to identify breakout or reversal levels. Example: In "NY Manipulation," wait for price to hit London high (long) or low (short) during NY session, confirmed by an arrow. Best Markets: Forex (EUR/USD), indices (SPX500), crypto (BTC/USD) with sufficient intraday volatility. Underlying Concepts Session Profiling: Detects trends (range > SMA * threshold) and manipulation (e.g., London breaking Asia’s high/low) to predict NY behavior. OR Boxes: Marks the first 15 minutes’ high/low as a breakout zone (time-based, 900,000 ms). TDI + Momentum: Combines RSI-based bands with price change (close – close ) for momentum signals. SR Boxes: Identifies pivots over a lookback period (default 20), scaled by ATR and filtered by volume thresholds. Credits The SR box logic is inspired by ChartPrime’s volume-filtered support/resistance methodology, adapted with custom breakout/hold detection. Original authors are credited for their foundational work. Chart Setup Displays session backgrounds, OR boxes, high/low lines, TDI arrows, and profile labels. Keep other indicators off for clarity.
אינדיקטור Pine Script®
מאת ‎SwiftEdge‎