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Pivot Breakout with Trend ZonesOverview Pivot Breakout with Trend Zones is a technical analysis indicator that identifies key pivot points and trend direction through dynamic candle coloring. It helps traders visualize breakouts and ongoing trends in real-time. Key Features 🔍 Pivot Point Detection Automatically identifies significant high and low pivot points Customizable left/right bar parameters for sensitivity adjustment Displays pivot levels as cross-style lines with offset positioning 🎨 Smart Candle Coloring White candles: Breakout above pivot high (bullish signal) Black candles: Breakout below pivot low (bearish signal) Teal candles: Uptrend continuation Coral Red candles: Downtrend continuation Optional color fill toggle for customization 📊 Trend Identification Automatically tracks trend direction after breakouts Maintains trend state until opposite breakout occurs Clear visual distinction between breakout and trend-following phases Input Parameters Pivot Settings Left Bars (High/Low): Number of bars to the left of pivot Right Bars (High/Low): Number of bars to the right of pivot Display Options Enable Candle Color Fill: Toggle color visualization on/off Line Offset: Adjust pivot line positioning (-50 to 0 bars) How It Works Pivot Calculation: Uses TradingView's built-in pivothigh() and pivotlow() functions to detect significant turning points Breakout Detection: Monitors when price closes beyond pivot levels, triggering trend changes Trend Management: Once a breakout occurs, the indicator maintains the trend direction until a counter-breakout signals reversal Visual Feedback: Provides immediate color-coded feedback for quick market analysis Use Cases Swing Trading: Identify entry points at pivot breakouts Trend Following: Stay in trades during trend continuation phases Market Structure: Visualize support/resistance levels and trend changes Risk Management: Use pivot levels for stop-loss placement Ideal For Traders looking for clear visual trend identification Technical analysts monitoring breakout opportunities Anyone seeking to combine pivot analysis with trend following strategies This indicator provides a clean, intuitive way to spot trend changes and follow market momentum with immediate visual feedback through candle coloring.
אינדיקטור Pine Script®
מאת ‎dreamaker7‎
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
Asian, UK & NY SessionTimes and Day Highs and LowsWhat It Does The Asian, UK & NY Sessions indicator automatically identifies and highlights the three major global trading sessions on your chart. For each session, it: Detects session time in its local timezone. Tracks the session’s highest and lowest prices. Plots colored horizontal lines to show those levels throughout the trading day. Optionally shades each session’s background in its signature color for instant visual context: 🟡 Asian Session: Yellow background 🔴 London Session: Red background 🔵 New York Session: Blue background This helps traders see how price reacts within and between sessions — spotting overlaps, liquidity zones, and daily ranges. ⚙️ Inputs and Variables Input Description Extend lines until next session start (extendLines) Extends each session’s high/low lines forward until the next session begins. Show prices in scale column (showScaleValues) Controls whether the price labels for session highs/lows appear on the chart’s right-hand price scale. Show All Session Highs & Lows (showAllHighsLows) Master switch — turn this off to hide all session lines instantly, keeping the chart clean. Show Session Backgrounds (showBackgrounds) Turns all background shading on or off. When off, all session colors disappear. Background Opacity (bgOpacityAll) Adjusts the transparency for all session backgrounds (0 = solid, 100 = fully transparent). 🎨 Visual Color Scheme Session Background High/Low Line Asian Yellow Green London Red Red New York Blue Blue Each color has a consistent role — making it easy to distinguish sessions even in replay or live view. Price Tracking: For each session, the indicator resets High and Low when the new session starts, then updates them as bars print. Display Control: If lines or backgrounds are disabled via settings, they’re completely hidden (no clutter, no partial transparency). 💡 How Traders Use It Identify daily ranges in each global session. Compare volatility between markets. Align entries or exits with session transitions. Observe how price respects previous session highs/lows.
אינדיקטור Pine Script®
מאת ‎crowboy9798‎
RSI Donchian Channel [DCAUT]█ RSI Donchian Channel 📊 ORIGINALITY & INNOVATION The RSI Donchian Channel represents an important synthesis of two complementary analytical frameworks: momentum oscillators and breakout detection systems. This indicator addresses a common limitation in traditional RSI analysis by replacing fixed overbought/oversold thresholds with adaptive zones derived from historical RSI extremes. Key Enhancement: Traditional RSI analysis relies on static threshold levels (typically 30/70), which may not adequately reflect changing market volatility regimes. This indicator adapts the reference zones dynamically based on the actual RSI behavior over the lookback period, helping traders identify meaningful momentum extremes relative to recent price action rather than arbitrary fixed levels. The implementation combines the proven momentum measurement capabilities of RSI with Donchian Channel's breakout detection methodology, creating a framework that identifies both momentum exhaustion points and potential continuation signals through the same analytical lens. 📐 MATHEMATICAL FOUNDATION Core Calculation Process: Step 1: RSI Calculation The Relative Strength Index measures momentum by comparing the magnitude of recent gains to recent losses: Calculate price changes between consecutive periods Separate positive changes (gains) from negative changes (losses) Apply selected smoothing method (RMA standard, also supports SMA, EMA, WMA) to both gain and loss series Compute Relative Strength (RS) as the ratio of smoothed gains to smoothed losses Transform RS into bounded 0-100 scale using the formula: RSI = 100 - (100 / (1 + RS)) Step 2: Donchian Channel Application The Donchian Channel identifies the highest and lowest RSI values within the specified lookback period: Upper Channel: Highest RSI value over the lookback period, represents the recent momentum peak Lower Channel: Lowest RSI value over the lookback period, represents the recent momentum trough Middle Channel (Basis): Average of upper and lower channels, serves as equilibrium reference Channel Width Dynamics: The distance between upper and lower channels reflects RSI volatility. Wide channels indicate high momentum variability, while narrow channels suggest momentum consolidation and potential breakout preparation. The indicator monitors channel width over a 100-period window to identify squeeze conditions that often precede significant momentum shifts. 📊 COMPREHENSIVE SIGNAL ANALYSIS Primary Signal Categories: Breakout Signals: Upper Breakout: RSI crosses above the upper channel, indicates momentum reaching new relative highs and potential trend continuation, particularly significant when accompanied by price confirmation Lower Breakout: RSI crosses below the lower channel, suggests momentum reaching new relative lows and potential trend exhaustion or reversal setup Breakout strength is enhanced when the channel is narrow prior to the breakout, indicating a transition from consolidation to directional movement Mean Reversion Signals: Upper Touch Without Breakout: RSI reaches the upper channel but fails to break through, may indicate momentum exhaustion and potential reversal opportunity Lower Touch Without Breakout: RSI reaches the lower channel without breakdown, suggests potential bounce as momentum reaches oversold extremes Return to Basis: RSI moving back toward the middle channel after touching extremes signals momentum normalization Trend Strength Assessment: Sustained Upper Channel Riding: RSI consistently remains near or above the upper channel during strong uptrends, indicates persistent bullish momentum Sustained Lower Channel Riding: RSI stays near or below the lower channel during strong downtrends, reflects persistent bearish pressure Basis Line Position: RSI position relative to the middle channel helps identify the prevailing momentum bias Channel Compression Patterns: Squeeze Detection: Channel width narrowing to 100-period lows indicates momentum consolidation, often precedes significant directional moves Expansion Phase: Channel widening after a squeeze confirms the initiation of a new momentum regime Persistent Narrow Channels: Extended periods of tight channels suggest market indecision and accumulation/distribution phases 🎯 STRATEGIC APPLICATIONS Trend Continuation Strategy: This approach focuses on identifying and trading momentum breakouts that confirm established trends: Identify the prevailing price trend using higher timeframe analysis or trend-following indicators Wait for RSI to break above the upper channel in uptrends (or below the lower channel in downtrends) Enter positions in the direction of the breakout when price action confirms the momentum shift Place protective stops below the recent swing low (long positions) or above swing high (short positions) Target profit levels based on prior swing extremes or use trailing stops to capture extended moves Exit when RSI crosses back through the basis line in the opposite direction Mean Reversion Strategy: This method capitalizes on momentum extremes and subsequent corrections toward equilibrium: Monitor for RSI reaching the upper or lower channel boundaries Look for rejection signals (price reversal patterns, volume divergence) when RSI touches the channels Enter counter-trend positions when RSI begins moving back toward the basis line Use the basis line as the initial profit target for mean reversion trades Implement tight stops beyond the channel extremes to limit risk on failed reversals Scale out of positions as RSI approaches the basis line and closes the position when RSI crosses the basis Breakout Preparation Strategy: This approach positions traders ahead of potential volatility expansion from consolidation phases: Identify squeeze conditions when channel width reaches 100-period lows Monitor price action for consolidation patterns (triangles, rectangles, flags) during the squeeze Prepare conditional orders for breakouts in both directions from the consolidation Enter positions when RSI breaks out of the narrow channel with expanding width Use the channel width expansion as a confirmation signal for the breakout's validity Manage risk with stops just inside the opposite channel boundary Multi-Timeframe Confluence Strategy: Combining RSI Donchian Channel analysis across multiple timeframes can improve signal reliability: Identify the primary trend direction using a higher timeframe RSI Donchian Channel (e.g., daily or weekly) Use a lower timeframe (e.g., 4-hour or hourly) to time precise entry points Enter long positions when both timeframes show RSI above their respective basis lines Enter short positions when both timeframes show RSI below their respective basis lines Avoid trades when timeframes provide conflicting signals (e.g., higher timeframe below basis, lower timeframe above) Exit when the higher timeframe RSI crosses its basis line in the opposite direction Risk Management Guidelines: Effective risk management is essential for all RSI Donchian Channel strategies: Position Sizing: Calculate position sizes based on the distance between entry point and stop loss, limiting risk to 1-2% of capital per trade Stop Loss Placement: For breakout trades, place stops just inside the opposite channel boundary; for mean reversion trades, use stops beyond the channel extremes Profit Targets: Use the basis line as a minimum target for mean reversion trades; for trend trades, target prior swing extremes or use trailing stops Channel Width Context: Increase position sizes during narrow channels (lower volatility) and reduce sizes during wide channels (higher volatility) Correlation Awareness: Monitor correlations between traded instruments to avoid over-concentration in similar setups 📋 DETAILED PARAMETER CONFIGURATION RSI Source: Defines the price data series used for RSI calculation: Close (Default): Standard choice providing end-of-period momentum assessment, suitable for most trading styles and timeframes High-Low Average (HL2): Reduces the impact of closing auction dynamics, useful for markets with significant end-of-day volatility High-Low-Close Average (HLC3): Provides a more balanced view incorporating the entire period's range Open-High-Low-Close Average (OHLC4): Offers the most comprehensive price representation, helpful for identifying overall period sentiment Strategy Consideration: Use Close for end-of-period signals, HL2 or HLC3 for intraday volatility reduction, OHLC4 for capturing full period dynamics RSI Length: Controls the number of periods used for RSI calculation: Short Periods (5-9): Highly responsive to recent price changes, produces more frequent signals with increased false signal risk, suitable for short-term trading and volatile markets Standard Period (14): Widely accepted default balancing responsiveness with stability, appropriate for swing trading and intermediate-term analysis Long Periods (21-28): Produces smoother RSI with fewer signals but more reliable trend identification, better for position trading and reducing noise in choppy markets Optimization Approach: Test different lengths against historical data for your specific market and timeframe, consider using longer periods in ranging markets and shorter periods in trending markets RSI MA Type: Determines the smoothing method applied to price changes in RSI calculation: RMA (Relative Moving Average - Default): Wilder's original smoothing method providing stable momentum measurement with gradual response to changes, maintains consistency with classical RSI interpretation SMA (Simple Moving Average): Treats all periods equally, responds more quickly to changes than RMA but may produce more whipsaws in volatile conditions EMA (Exponential Moving Average): Weights recent periods more heavily, increases responsiveness at the cost of potential noise, suitable for traders prioritizing early signal generation WMA (Weighted Moving Average): Applies linear weighting favoring recent data, offers a middle ground between SMA and EMA responsiveness Selection Guidance: Maintain RMA for consistency with traditional RSI analysis, use EMA or WMA for more responsive signals in fast-moving markets, apply SMA for maximum simplicity and transparency DC Length: Specifies the lookback period for Donchian Channel calculation on RSI values: Short Periods (10-14): Creates tight channels that adapt quickly to changing momentum conditions, generates more frequent trading signals but increases sensitivity to short-term RSI fluctuations Standard Period (20): Balances channel responsiveness with stability, aligns with traditional Bollinger Bands and moving average periods, suitable for most trading styles Long Periods (30-50): Produces wider, more stable channels that better represent sustained momentum extremes, reduces signal frequency while improving reliability, appropriate for position traders and higher timeframes Calibration Strategy: Match DC length to your trading timeframe (shorter for day trading, longer for swing trading), test channel width behavior during different market regimes, consider using adaptive periods that adjust to volatility conditions Market Adaptation: Use shorter DC lengths in trending markets to capture momentum shifts earlier, apply longer periods in ranging markets to filter noise and focus on significant extremes Parameter Combination Recommendations: Scalping/Day Trading: RSI Length 5-9, DC Length 10-14, EMA or WMA smoothing for maximum responsiveness Swing Trading: RSI Length 14, DC Length 20, RMA smoothing for balanced analysis (default configuration) Position Trading: RSI Length 21-28, DC Length 30-50, RMA or SMA smoothing for stable signals High Volatility Markets: Longer RSI periods (21+) with standard DC length (20) to reduce noise Low Volatility Markets: Standard RSI length (14) with shorter DC length (10-14) to capture subtle momentum shifts 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Adaptive Threshold Mechanism: Unlike traditional RSI analysis with fixed 30/70 thresholds, this indicator's Donchian Channel approach provides several improvements: Context-Aware Extremes: Overbought/oversold levels adjust automatically based on recent momentum behavior rather than arbitrary fixed values Volatility Adaptation: In low volatility periods, channels narrow to reflect tighter momentum ranges; in high volatility, channels widen appropriately Market Regime Recognition: The indicator implicitly adapts to different market conditions without manual threshold adjustments False Signal Reduction: Adaptive channels help reduce premature reversal signals that often occur with fixed thresholds during strong trends Signal Quality Characteristics: The indicator's dual-purpose design provides distinct advantages for different trading objectives: Breakout Trading: Channel boundaries offer clear, objective breakout levels that update dynamically, eliminating the ambiguity of when momentum becomes "too high" or "too low" Mean Reversion: The basis line provides a natural profit target for reversion trades, representing the midpoint of recent momentum extremes Trend Strength: Persistent channel boundary riding offers an objective measure of trend strength without additional indicators Consolidation Detection: Channel width analysis provides early warning of potential volatility expansion from compression phases Comparative Analysis: When compared to traditional RSI implementations and other momentum frameworks: vs. Fixed Threshold RSI: Provides market-adaptive reference levels rather than static values, helping to reduce false signals during trending markets where RSI can remain "overbought" or "oversold" for extended periods vs. RSI Bollinger Bands: Offers clearer breakout signals and more intuitive extreme identification through actual high/low boundaries rather than statistical standard deviations vs. Stochastic Oscillator: Maintains RSI's momentum measurement advantages (unbounded calculation avoiding scale compression) while adding the breakout detection capabilities of Donchian Channels vs. Standard Donchian Channels: Applies breakout methodology to momentum space rather than price, providing earlier signals of potential trend changes before price breakouts occur Performance Characteristics: The indicator exhibits specific behavioral patterns across different market conditions: Trending Markets: Excels at identifying momentum continuation through channel breakouts, RSI tends to ride one channel boundary during strong trends, providing trend confirmation Ranging Markets: Channel width narrows during consolidation, offering early preparation signals for potential breakout trading opportunities High Volatility: Channels widen to reflect increased momentum variability, automatically adjusting signal sensitivity to match market conditions Low Volatility: Channels contract, making the indicator more sensitive to subtle momentum shifts that may be significant in calm market environments Transition Periods: Channel squeezes often precede major trend changes, offering advance warning of potential regime shifts Limitations and Considerations: Users should be aware of certain operational characteristics: Lookback Dependency: Channel boundaries depend entirely on the lookback period, meaning the indicator has no predictive element beyond identifying current momentum relative to recent history Lag Characteristics: As with all moving average-based indicators, RSI calculation introduces lag, and channel boundaries update only as new extremes occur within the lookback window Range-Bound Sensitivity: In extremely tight ranges, channels may become very narrow, potentially generating excessive signals from minor momentum fluctuations Trending Persistence: During very strong trends, RSI may remain at channel extremes for extended periods, requiring patience for mean reversion setups or commitment to trend-following approaches No Absolute Levels: Unlike traditional RSI, this indicator provides no fixed reference points (like 50), making it less suitable for strategies that depend on absolute momentum readings USAGE NOTES This indicator is designed for technical analysis and educational purposes to help traders understand momentum dynamics and identify potential trading opportunities. The RSI Donchian Channel has limitations and should not be used as the sole basis for trading decisions. Important considerations: Performance varies significantly across different market conditions, timeframes, and instruments Historical signal patterns do not guarantee future results, as market behavior continuously evolves Effective use requires understanding of both RSI momentum principles and Donchian Channel breakout concepts Risk management practices (stop losses, position sizing, diversification) are essential for any trading application Consider combining with additional analytical tools such as volume analysis, price action patterns, or trend indicators for confirmation Backtest thoroughly on your specific instruments and timeframes before live trading implementation Be aware that optimization on historical data may lead to curve-fitting and poor forward performance The indicator performs best when used as part of a comprehensive trading methodology that incorporates multiple forms of market analysis, sound risk management, and realistic expectations about win rates and drawdowns.
אינדיקטור Pine Script®
מאת ‎DCAUT‎
Arisa RSI Rebound Alert (v6.2)Short description: Simple RSI-based rebound detection with ATR confirmation — designed for traders who prefer a clean and intuitive signal. Full description: This indicator detects oversold and rebound phases using RSI and confirms the strength of each rebound with ATR slope analysis. It is optimized for deep correction phases (e.g. RSI 25→35 cross), helping traders catch early reversal signals while avoiding unnecessary noise. 💡 Recommended use: • Timeframes: 30min–4h • Ideal for short- to mid-term rebound trades • Combine with Heikin-Ashi or volume expansion for higher accuracy ✨ Key Features: • Clear oversold/rebound thresholds (default RSI <25 / cross-up >35) • Background highlight for deep oversold conditions • Visual markers for strong vs. weak rebounds (ATR slope filter) • Alert-ready (three conditions included) 🪶 Concept: This script is designed for traders who value simplicity and intuition — focusing on meaningful signals rather than automation overload. It’s for those who still want to see and feel the market before taking action. ⸻ Author: Arisa Sanjo (Japan) Created with the support of GPT-5, based on live trading insights from October 2025. License: Free to use and modify with proper attribution. If you redistribute or enhance this script, please mention “Based on Arisa RSI Rebound Alert (v6.2)” in your description.
אינדיקטור Pine Script®
מאת ‎Lebia_Maverick‎
Red-Fall% Rebound · Daily Lowest Entry Only [Indicator v6]This indicator identifies rebound opportunities following strong bearish (“red”) candles. It measures the percentage fall of each red candle, then waits for the next candle to cross above its own open price multiplied by that same fall percentage — meaning price has rebounded by the same strength it fell. Once such a crossover occurs, it’s marked as an entry signal (green triangle). A label is placed on the previous red candle showing its fall percentage. Unique Daily Logic: At the start of each day, the indicator resets its memory. It saves the first valid entry of the day. If a later entry appears at a lower price than the first, it replaces the earlier one. Higher-priced entries the same day are ignored — ensuring only the lowest valid entry per day is highlighted. Visual Elements: 🔴 Red bar coloring for bearish candles. 🟩 Green triangle under the bar marking the accepted (lowest) entry of the day. 🏷️ Label above the previous red bar showing its percentage fall. 🔻 Optional red line showing a hypothetical stop level based on that fall%. (No trades are executed — this is purely visual.) Alerts: Triggers when a new accepted entry signal appears (i.e., first or lower entry of the day). You can use this for real-time notifications or automation with webhooks. Parameters: Show labels → Toggle fall% labels on/off. Show stop line → Display/hide the hypothetical stop line. Minimum fall % → Ignore very small red bars. Entry price proxy → Choose how the entry level is estimated (Close, Open, or Level = open × (1 + fall%)). Enable alert condition → Turn alerts on/off. How to Use: Add the script to your chart. Adjust Minimum fall % to focus on significant red bars (e.g., 1–3%). Watch for green triangles — those are the day’s first or lowest valid rebound entries. Use the red stop line (optional) as a reference for risk management. The trade is left open manually — there is no take-profit logic.
אינדיקטור Pine Script®
מאת ‎GMANOJISAAC‎
Strategy with Reference Lines📊 Strategy with Reference Lines Description: This strategy uses a contrarian approach based on the analysis of the previous candle to identify entry and exit points. The strategy draws horizontal reference lines at important levels of the previous candle and generates buy/sell signals based on the candle's direction. Key Features: 🔹 Multi-Timeframe Analysis: Configurable for 1H, 2H, 3H, 4H, 6H, 12H, and 1D 🔹 Reference Lines: High, low, close, and midpoint (50%) of the previous candle 🔹 Visual Signals: Labels with prices and actions (BUY/SELL/TP) 🔹 Optional Trading: Enable/disable automatic order execution 🔹 Complete System: Automatic entry, Take Profit, and Stop Loss 🔹 Alerts: Notifications when a new candle is detected Strategy Logic: When the previous candle is POSITIVE: Signal: 🔴 SELL at the previous candle's close Take Profit: 🎯 Midpoint (50%) of the previous candle Stop Loss: 🔴 High of the previous candle When the previous candle is NEGATIVE: Signal: 🟢 BUY at the previous candle's close Take Profit: 🎯 Midpoint (50%) of the previous candle Stop Loss: 🟢 Low of the previous candle Visual Elements: Green Line: High of the previous candle (when positive) Red Line: Low of the previous candle (when negative) Yellow Line: Close of the previous candle (always present) Blue Line: Midpoint (50%) of the previous candle (always present) Labels: Prices and actions with emojis for easy identification Settings: Timeframe: Default 4H (configurable) Auto Trading: Disabled by default (safety) Alerts: Include entry prices, TP, and SL Recommended Usage: ✅ Visual Analysis: Use with trading disabled for analysis ✅ Backtesting: Enable trading to test historically ✅ Swing Trading: Ideal for 4H or higher timeframes ✅ Risk Management: Automatic SL and TP for protection Risk Disclaimer: This strategy is for educational and analysis purposes only. Always test in a simulation environment before using with real capital. Trading involves significant risks and may result in losses.
אסטרטגיית Pine Script®
מאת ‎itasouza‎
High Volume Candle Detector by Ravi Shinde📊 High Volume Candle Detector 🎯 Overview Identify exceptional volume spikes that signal institutional activity, breakouts, and reversals. Detects candles with volume exceeding a customizable threshold (default: 3x average volume over 20 periods). ✨ Key Features 🔧 Customizable Settings Volume Multiplier (default: 3.0x) - Define your threshold Average Period (default: 20) - Adapt to any timeframe Bullish/Bearish Detection - Automatic color coding (green/red) 🎨 Visual Styles Background - Subtle colored highlighting Border - Yellow box outline Shape - Triangle markers with "HV" text All - Combined display 🔔 Smart Alerts Bullish High Volume 🟢 Bearish High Volume 🔴 Any High Volume ⚠️ 📈 Derivatives Trading Method High-volume candle highs and lows mark key breakout levels. Break above = Go Long. Break below = Go Short. Trail your stop-loss with a moving average of your choice for optimal risk management. Optimal performance on 15-minute or higher timeframes. Lower timeframes may generate excessive noise.
אינדיקטור Pine Script®
מאת ‎sincereZebra4732‎
Total Info Indicator by MikePenzin Install & Add to Chart  • Copy the script into Pine Editor → click Add to Chart .  • Open the ⚙️ Settings → Inputs to customize. What It Does  • Displays key info in a floating table — trend, volume, ATR, RSI, stop loss, and more.  • Detects breakouts , smart SELL signals , and opening strength .  • Uses emojis and colours to make trends easy to read: 🟢 good, 🟡 neutral, 🔴 risky. For Swing Traders  • Works best on Daily or 4H charts.  • Watch for 🟢 Uptrend + ⚡BUY / 🔥BUY breakout signals.  • Use ATR-based Stop Loss (shown in table).  • Avoid new entries a few days before earnings. Suggested Setup  • 20/50/150 MA Lines: ON  • 200 MA Line: optional  • ATR Multiplier: 1.3  • Breakout Detection: ON (Volume + RSI + Trend filters)  • Smart SELLs: ON (RSI 70, EMA 20)  • Pivots: ON for quick swing levels How to Read  • MA Row: 🟢 = price above MA (bullish).  • ATR/Stop Loss: Suggests where to place protective stop.  • Volume Info: Today’s vs 20-day average, plus pace.  • RSI & CCI: Shows momentum and overbought/oversold levels.  • Breakouts: ⚡BUY (early), 🔥BUY (confirmed).  • Smart SELLs: RSI🔴 / DIV🟣 / EMA🔵 mean potential exit zones. Example Use  1️⃣ Find stocks with Uptrend 🟢 , rising volume, and ⚡BUY signal.  2️⃣ Enter near breakout; set Stop = shown level.  3️⃣ Take profits or trail when Smart SELLs appear or RSI peaks. Tips  • Choose table corner under “Table Visualization.”  • Reduce clutter on small timeframes (turn off Pivots/200 MA).  • Use “Volume speed” to spot surging interest before breakouts.  • Compatible with most equities and ETFs. Disclaimer  This script is for education & analysis only .  Not financial advice — always manage your own risk.
אינדיקטור Pine Script®
מאת ‎mike_penzin‎
ShockDrop Alerts v1⚡ ShockDrop Alerts — Rapid Drop & Drawdown Detector ShockDrop Alerts helps you react instantly to sudden market shocks. It tracks both fast price drops and intraday drawdowns, plotting clean visual arrows and sending alerts when volatility spikes — so you can respond before small dips turn into major moves. ⚙️ How It Works • Fast Drop (FAST) – detects sharp declines (e.g. 2 % in 4 minutes) using 1-minute data across any timeframe. • Drawdown (DD) – triggers when price trades a set percentage below the day’s session high (e.g. 2 %). Each alert type has its own independent cooldown timer and can be toggled on or off. 🎯 What You’ll See • FAST → 🔴 red arrow above the bar (rapid drop detection) • DD → 🟠 orange arrow below the bar (intraday drawdown) These appear only when your defined conditions are met. Connect them to TradingView alerts for instant popup, email, mobile, or webhook notifications. 🧭 Key Features • Detects high-velocity price shocks in real time • Separate cooldowns for FAST and DD triggers • Extended-hours toggle to include pre/post-market data • Clean, clutter-free visuals — only actionable arrows • Uses 1-minute precision data, works on any symbol or timeframe • Supports server-side alerts (TradingView Pro +) 📬 Why Traders Use It • Get early warnings during flash crashes or liquidity spikes • Automate risk-based exits when markets accelerate downward • Track SPY, QQQ, crypto, or futures for rapid reversals • Stay alert to high-impact news events — such as surprise policy comments, earnings releases, or market-moving presidential posts — that can cause sudden volatility Requires TradingView Pro + for continuous server-side alerting.
אינדיקטור Pine Script®
מאת ‎MechArt_‎
Multiple Symbol Trend Screener [Pineify]Multiple Symbol Trend Screener Pineify – Ultimate Multi-Indicator Scanner for TradingView Empower your trading with deep market insights across multiple symbols using this feature-rich Pine Script screener. The Multiple Symbol Trend Screener Pineify enables traders to monitor and compare trends, reversals, and consolidations in real-time across the biggest equity symbols on TradingView, through a synergistic blend of popular technical indicators. Key Features Monitor up to 15 symbols and their trends simultaneously Integrates 7 professional-grade indicators: MA Distance, Aroon, Parabolic SAR (PSAR), ADX, Supertrend, Keltner Channel, and BBTrend Color-coded table display for instant visual assessment Customizable lookback periods, indicator types, and calculation methods SEO optimized for multi-symbol trend detection, screener, and advanced TradingView indicator How It Works This indicator leverages TradingView’s Pine Script v6 and request.security() to process multiple symbols across selected timeframes. Data populates a dynamic table, updating each cell based on the calculated value of every underlying indicator. MA Distance highlights deviation from moving averages; Aroon flags emerging trend strength; PSAR marks potential trend reversals; ADX assesses trend momentum; Supertrend detects bullish/bearish phases; Keltner Channel and BBTrend offer volatility and power insights. Set up your preferred symbols and timeframes Each indicator runs its calculation per symbol using its parameter group All results are displayed in a table for a comprehensive dashboard view Trading Ideas and Insights Traders can use this screener for cross-market comparison, directional bias, entry/exit filtering, and comprehensive trend evaluation. The screener is excellent for swing trading, day trading, and portfolio tracking. It enables confirmation across multiple frameworks — for example, spotting momentum with ADX before confirming direction with Supertrend and PSAR. Identify correlated movements or divergences across selected assets Spot synchronized trend changes for basket trading ideas Filter symbols by volatility, strength, or trend status for precise trade selection How Multiple Indicators Work Together The screener’s edge lies in its intelligent correlation of popular indicators. MA Distance measures the proximity to chosen moving averages, ideal for spotting overbought/oversold conditions. Aroon reveals the strength of new price trends, PSAR indicates reversal signals, and ADX quantifies the momentum of these trends. Supertrend provides a directional phase, while Keltner Channel & BBTrend analyze volatility shifts and band compressions. This amalgamation allows for a robust, multi-dimensional market snapshot, capturing details missed by single-indicator tools. By displaying all key metrics side-by-side, the screener enables holistic decision-making, revealing confluence zones and contradiction areas across multiple tickers and timeframes. Unique Aspects Original implementation combining seven independent trend and momentum indicators for each symbol Rich customization for symbols, timeframes, and all indicator parameters Intuitive color-coding for quick reading of bullish/bearish/neutral signals Comprehensive dashboard for instant actionable insights How to Use Load the indicator onto your TradingView chart Go to the script’s settings and input your preferred symbols and relevant timeframes Set your desired parameters for each indicator group: Moving Average type, Aroon length, PSAR values, ADX smoothing, etc. Observe the results in the top-right table, then use it to filter candidates and validate trade setups The screener is suitable for all timeframes and asset classes available on TradingView. Make sure your chart’s timeframe matches the one used in the scanner for optimal accuracy. Customization Choose up to 15 symbols to monitor in a single dashboard Customize lookback periods, indicator types, colors, and display settings Configure alerting options and thresholds for advanced trade automation Conclusion The Multiple Symbol Trend Screener Pineify sets a new standard for multi-asset screening on TradingView. By elegantly merging seven proven technical indicators, the screener delivers powerful trend detection, reversal analysis, and volatility monitoring — all in one dashboard. Take your trading to new heights with in-depth, customizable market surveillance.
אינדיקטור Pine Script®
מאת ‎Pineify‎
ADR - Average Daily Range [KasTrades]This is an Average Daily Range (ADR) indicator. There are two settings for ADR: Two Look back period ADR range (e.g. 7 and 14 days) One Look back period ADR (e.g. 5 days only) Two day ADR ranges are typically used in equities and index futures whereas one day ADR is typically used in forex. The opening time by default is 17:00 New York (Eastern) time. The ranges are always calculated from the opening price of the first bar on the respected timeframe.
אינדיקטור Pine Script®
מאת ‎KasTrades14‎
Auto SND Detector (RBR, DBR, RBD, DBD) - TitikSona🧠 Description Auto SND Detector (RBR, DBR, RBD, DBD) – TitikSona This indicator automatically detects Supply and Demand (SND) zones based on four classical price patterns: 🔵 RBR (Rally–Base–Rally) – Potential Demand Continuation 🟢 DBR (Drop–Base–Rally) – Potential Demand Reversal 🟠 RBD (Rally–Base–Drop) – Potential Supply Reversal 🔴 DBD (Drop–Base–Drop) – Potential Supply Continuation The indicator identifies small base candles between two larger opposing candles, following the classical SND concept, and draws zone boxes automatically. Box colors indicate the type of zone: 🟩 Light Green → RBR 🟦 Teal → DBR 🟧 Orange → RBD 🟥 Red → DBD ⚙️ How It Works - Analyzes three consecutive candles (left, base, right) to detect structures like Rally–Base–Drop or Drop–Base–Rally. - The middle candle (base) is considered valid if its size is smaller than a specified percentage (Base max % of avg range), indicating a consolidation area. - Zones are drawn automatically and extended several bars to the right (Box extend). - Optional labels and colors help quickly identify each pattern. 📈 Key Features - Automatic detection of four main SND patterns - Colored zones for quick visual identification - Optional zone labels for easier reference - Built-in alerts for detected patterns - Adjustable parameters: base sensitivity, lookback, and zone length 💡 Usage Tips - Best used on H1 or higher timeframes (H4/D1) for cleaner zone identification - Combine with other analysis techniques, such as trend filters (EMA 50/200) or market structure, for context - Zones can be used as a **visual reference** for potential areas of supply and demand, but should not be interpreted as guaranteed entry signals 🧩 Main Parameters - Base max % of avg range → Sensitivity for base size - Lookback bars → Number of candles analyzed backward - Box extend → How far the zone extends to the right - Show labels → Display pattern labels 📢 Notes - This indicator is **informational and educational** - Always use additional confirmation (price action, volume, trend indicators) before making any trading decisions - Past patterns do not guarantee future price movements
אינדיקטור Pine Script®
מאת ‎TitikSona‎
ALMASTO – Pro Trend & Momentum (v1.1)ALMASTO — Pro Trend & Momentum Strategy Description: This strategy is designed for precision trading in both Forex (FX) and Crypto markets. It combines multi-timeframe trend confirmation (EMA200), momentum filters (RSI, MACD, ADX), and ATR-based dynamic risk management. ALMASTO — Pro Trend & Momentum Strategy automatically manages take-profit levels, stop-loss, and breakeven adjustments once TP1 is reached — providing a structured and emotion-free trading approach. Optimal Use Works best on lower timeframes (5m–15m) with strong liquidity sessions. Optimized for pairs like EURUSD, XAUUSD, and BTCUSDT. Built for trend-following setups and momentum reversals with high volatility confirmation. Recommended Settings 🔹 Forex – 5m EMA Fast = 34, EMA Slow = 200, HTF = 1H RSI (14): Long ≥ 55 / Short ≤ 45 MACD (8 / 21 / 5), ADX Len 10 / Min 27 ATR Len 7, Stop Loss = ATR × 2.1 TP1 = 1.1 RR, TP2 = 2.3 RR Session = 07:00–11:00 & 12:30–16:00 (Exchange Time) Risk = 0.8% per trade 🔹 Forex – 15m EMA Fast = 50, EMA Slow = 200, HTF = 4H RSI (14): Long ≥ 53 / Short ≤ 47 MACD (12 / 26 / 9), ADX Min 24 ATR Len 10, SL = ATR × 1.9 TP1 = 1.2 RR, TP2 = 2.6 RR Risk = 1.0% per trade 🔹 Crypto – 5m (BTC/USDT) EMA Fast = 34, EMA Slow = 200, HTF = 4H RSI (14): Long ≥ 56 / Short ≤ 44 MACD (8 / 21 / 5), ADX Min 30 ATR Len 7, SL = ATR × 2.2 TP1 = 1.0 RR, TP2 = 2.5 RR Session = 00:00–06:00 & 12:00–22:00 (UTC) Risk = 0.5% per trade Core Features ✅ Auto breakeven after TP1 ✅ Dual take-profit system (1:1 & 1:2 RR) ✅ ATR-based stop & trailing logic ✅ Filters for session time, volume, and volatility ✅ Candle-body vs ATR size filter to avoid noise ✅ Optional cooldown between trades Important Notes Use bar close confirmation only (barstate.isconfirmed) to avoid repainting on lower timeframes. Adjust commission (0.01–0.03%) and slippage (1–2 ticks) in Strategy Tester for realistic results. Avoid low-liquidity hours (after 21:00 UTC for FX / after midnight for crypto). Backtest using realistic broker data (e.g., BlackBull Markets / Bybit / Binance Futures). Best results occur during London & New York sessions with moderate volatility. ⚠️ Disclaimer This script is for educational and research purposes only. It does not constitute financial advice. Use proper risk management and test thoroughly before using on live accounts. Developed by KING FX Labs Built and optimized by Yousef Almasto — combining advanced price-action logic, multi-timeframe EMA structure, and volatility-adaptive ATR management. Tested across Forex, Gold, and Crypto markets to ensure consistent performance and minimal drawdown. 📈 “Precision Trading. Zero Emotion. Pure Momentum.”
אסטרטגיית Pine Script®
מאת ‎A-Yousef‎
Adaptive Trend CatcherAdaptive Trend Catcher is an original indicator that combines Hull Moving Average smoothing, ATR-based volatility bands, and a CCI filter within an adaptive logic framework. It’s built to react intelligently to changing market conditions rather than applying fixed parameters. The system uses hysteresis to confirm trend flips only after several consistent signals, minimizing noise and false reversals. During strong momentum bursts, it automatically tightens its internal deadzone and step size to stay responsive while maintaining stability in quieter periods. The result is a dynamic trend engine that plots a color-shifting adaptive line — green for bullish, red for bearish — that adjusts smoothly with volatility. Optional upper/lower ATR bands can be displayed for added context. How to use: Watch for confirmed trend color flips with supporting momentum. Bullish flips occur when price regains the lower band and CCI turns positive; bearish flips when price falls below the upper band and CCI turns negative. Includes alert conditions for both reversals. For educational purposes only. Not financial advice.
אינדיקטור Pine Script®
מאת ‎Kerbox‎