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S3.1 SFP EMA Turtle Strategy for Hyperliquid [HYPR-run]Building block #3 in the strategy series. The complete priority chain with all five slots filled: three entry systems, pyramid scaling, 4-mode ATR trailing exits, smart stops, and failsafe stop. This is the fully-assembled version of the S1.1/S2.1 template. Uses the same ATR trailing module as ATR Trailing with all four architectures, separate long/short lookbacks (default 14/26), and separate multipliers. The indicator runs standalone for alerts; this strategy embeds it as the exit engine with a minimum-bars-in-trade guard to prevent premature exits on pyramids. Smart stops detect when a trade has moved against you beyond a threshold AND broken the entry bar's structure. This catches failing trades earlier than a trailing stop or fixed percentage. The SFP detector runs three lookback configurations simultaneously (5/2, 5/5, 13/3) and requires full bar confirmation plus wick validation. ATR MODES A3.1: LinReg + plain ATR, no ratchet. The baseline. Linear regression projects where price is heading, plain ATR sets the distance. Stop moves freely in both directions. A4.0: LinReg + VWATR + Efficiency Ratio + ratchet (default). Volume- weighted ATR discounts low-liquidity candles. The Efficiency Ratio (Kaufman) measures trend quality: in a clean trend it widens the stop; in chop it tightens. Ratchet floor means the stop only moves in your favor. A4.1: Chandelier + VWATR + ratchet + first-bar multiplier. Anchored to the highest high (longs) or lowest low (shorts). First-bar multiplier sets a tighter initial stop, then the standard multiplier takes over. A4.2: LinReg + VWATR, no ratchet. Same as A4.0 without ratchet floor or Efficiency Ratio. Stop moves freely with the projection. FEATURES - Swing Failure Pattern (SFP) entries with multi-lookback detection - EMA crossover entries: four configurable pairs - Turtle breakout entries with volume/body confirmation - Smart stops: swing structure invalidation + P&L threshold - Four ATR trailing architectures selectable via dropdown - Volume-weighted ATR: low-liquidity candles contribute less - Efficiency Ratio: tightens in chop, widens in trend (A4.0) - Ratchet floor: stop only moves in your favor (A4.0, A4.1) - First-bar multiplier for tighter initial protection (A4.1) - Separate ATR lookbacks for longs (14) and shorts (26) - Separate multipliers for longs and shorts - Pyramid entries on 5-bar extremes - SFP nullification: active SFP candles block opposing entries - Wick nullification: 38.2%+ wicks block entries - Market structure labels (HH, LH, HL, LL) - Bot Mode for lighter live calculation - Failsafe percentage stop as absolute floor - Late entry ATR window (reference lines around entry price) BUILDING BLOCK SERIES S1.1: EMA crossover entries + priority chain template S2.1: adds Turtle breakout entries + ATR trailing exits + pyramids S3.1 (this): adds Swing Failure Pattern entries + smart stops + 4-mode ATR trailing module The three strategies show progressive refinement of the same architecture. S1.1 teaches the structure; S2.1 adds exit management; S3.1 adds early-exit intelligence and the full ATR module. Each is usable on its own. HOW TO USE WITH WEBHOOKS 1. Add to chart, enable one or more strategy toggles (XO/XU, Turtle, SFP) 2. Configure ATR mode, multipliers, and smart stop threshold 3. Create a TradingView alert, trigger: "Order fills only" 4. Check "Webhook URL" and paste your webhook endpoint 5. Paste the JSON snippet into the Message box 6. Set expiration to Open-ended, create STRUCTURE Signals > Entry Gates > Trade Engine (if/else priority chain) 1. Primary entries (EMA crossover, Turtle breakout, SFP) 2. Pyramid entries (5-bar extremes) 3. Trailing exits (4-mode ATR module) 4. Smart stops (swing structure + P&L threshold) 5. Failsafe stop (percentage floor) CREDITS ATR: J. Welles Wilder (1978) Efficiency Ratio: Perry Kaufman
Pine Script® strategy
by HYPR-run
S2.1 EMA Turtle ATR Strategy for Hyperliquid [HYPR-run]Building block #2 in the strategy series. Adds Turtle breakout entries, ATR trailing stop exits, and pyramid scaling to the S1.1 template. Two independent entry systems running through the same priority chain, with mechanical trailing exits replacing the empty slot from S1.1. The ATR trailing stop uses linear regression projection with separate long/short multipliers. Pyramids scale in on 5-bar extremes with full bar confirmation. This is where the strategy starts managing exits properly instead of relying solely on the failsafe stop. FEATURES - EMA crossover entries: four configurable pairs (5/13, 9/26, 12/25, 26/128) - Turtle breakout entries: 13/26 bar high/low with trend filter (50/200 EMA) - ATR trailing stops with linear regression projection - Separate ATR multipliers for longs and shorts - Pyramid entries on 5-bar extremes (full bar required) - Wick nullification: bearish/bullish wick > 38.2% blocks entries - Bot Mode: calculates last 300 bars only (lighter for live trading) - Failsafe percentage stop as floor - Late entry ATR window (reference lines around entry price) BUILDING BLOCK SERIES S1.1: EMA crossover entries + priority chain template S2.1 (this): adds Turtle breakout entries + ATR trailing exits + pyramids S3.1: adds Swing Failure Pattern entries + smart stops (swing structure) Each strategy fills more slots in the priority chain. S2.1 adds the exit management that S1.1 is missing; S3.1 adds the early-exit logic that catches failing trades before the trailing stop triggers. HOW TO USE WITH WEBHOOKS 1. Add to chart, enable EMA and/or Turtle strategy toggles 2. Configure ATR multipliers and failsafe stop 3. Create a TradingView alert, trigger: "Order fills only" 4. Check "Webhook URL" and paste your webhook endpoint 5. Paste the JSON snippet into the Message box 6. Set expiration to Open-ended, create STRUCTURE Signals > Entry Gates > Trade Engine (if/else priority chain) 1. Primary entries (EMA crossover, Turtle breakout) 2. Pyramid entries (5-bar extremes) 3. Trailing exits (ATR + LinReg) 4. Smart stops (empty slot; filled in S3.1) 5. Failsafe stop (percentage floor)
Pine Script® strategy
by HYPR-run
S1.1 EMA Crossover Strategy for Hyperliquid [HYPR-run]Building block #1 in the strategy series. Baseline strategy template with configurable EMA crossover entries and a structured trade engine. Designed as a starting point; the priority chain architecture has empty slots for pyramids, trailing exits, and smart stops that are filled in S2.1 and S3.1. This is a teaching strategy. It demonstrates the if/else priority chain where entries take precedence over exits on the same bar, the full bar filter, and the entry gate pattern used across all strategies in the series. Study the source, understand the structure, then build on it. FEATURES - Four configurable EMA pairs: 5/13, 9/26, 12/25, 26/128 - Crossover long, crossunder short - If/else priority chain: entries block exits on the same bar - Failsafe percentage stop (configurable) - Full bar filter (body >= 66.6% of range) - Volume spike detection - Separate long/short toggles - Quant filter candle coloring BUILDING BLOCK SERIES S1.1 (this): EMA crossover entries + priority chain template S2.1: adds Turtle breakout entries + ATR trailing exits + pyramids S3.1: adds Swing Failure Pattern entries + smart stops (swing structure) Each strategy fills more slots in the priority chain. The architecture is the same across all three; the difference is which modules are active. HOW TO USE WITH WEBHOOKS 1. Add to chart, select EMA pair and configure stop percentage 2. Create a TradingView alert, trigger: "Order fills only" 3. Check "Webhook URL" and paste your webhook endpoint 4. Paste the JSON snippet into the Message box 5. Set expiration to Open-ended, create STRUCTURE Signals > Entry Gates > Trade Engine (if/else priority chain) 1. Primary entries (EMA crossover) 2. Pyramid entries (empty slot; filled in S2.1) 3. Trailing exits (empty slot; filled in S2.1) 4. Smart stops (empty slot; filled in S3.1) 5. Failsafe stop (percentage floor)
Pine Script® strategy
by HYPR-run
Liquidity Sweep + Market Structure StrategyStrategy Concept Financial markets often move toward areas where stop orders accumulate. These areas are usually located above recent highs or below recent lows. When price briefly breaks those levels and quickly returns back inside the range, it can signal that liquidity has been taken and the market may move in the opposite direction. This strategy focuses on detecting those situations. Instead of chasing breakouts, it waits for price to sweep liquidity and then confirm a shift in market structure before opening a trade. How the Strategy Works Liquidity Sweep Detection The script first identifies recent swing highs and swing lows. A sweep happens when: Price moves above a recent high but closes back below it Price moves below a recent low but closes back above it This behavior suggests that stop orders were triggered but the breakout did not continue. Market Structure Confirmation After a sweep occurs, the strategy waits for confirmation from market structure. For a long setup, price must break above a recent short-term high after sweeping liquidity below. For a short setup, price must break below a recent short-term low after sweeping liquidity above. This helps reduce random entries. Volatility-Based Risk Control The script uses ATR (Average True Range) to calculate stop-loss and take-profit levels. This allows the strategy to adapt to changing market conditions. When volatility expands, exits widen; when volatility contracts, exits become tighter. Key Characteristics Detects stop-run style moves Confirms entries using structure shifts Uses volatility-adaptive exits Designed for testing and educational purposes Where This Strategy May Perform Better This type of setup often appears during: active trading sessions volatile market phases instruments with strong liquidity Sideways markets with very low volatility may produce fewer reliable signals.
Pine Script® strategy
by AIScripts
APEX V2 [JOAT]APEX V2 Introduction APEX V2 Enhanced is an advanced open-source algorithmic trading strategy that synthesizes 9 proprietary analytical concepts through a sophisticated confluence system to generate high-probability trade signals. This strategy integrates Flow Absorption Module (FAM), Directional Bias Engine (DBE), Structure Mapping System (SMS), Volatility Classification (VCL), Momentum Divergence Module (MDM), Statistical Reversion Zones (SRZ), Order Flow Analysis (OFA), Anchor Deviation Bands, and Trend Momentum Signals into a unified trading framework with comprehensive risk management. Unlike single-indicator strategies that produce frequent false signals, APEX V2 requires multi-dimensional confluence before executing trades. This confluence-based approach dramatically reduces false positives while capturing high-conviction institutional moves. The strategy includes adaptive position sizing based on risk percentage, dynamic stop loss and take profit levels, trailing stops, and real-time performance tracking through a comprehensive dashboard. Why This Strategy Exists This strategy addresses the fundamental challenge of trading: distinguishing high-probability setups from market noise. Individual analytical methods often produce conflicting signals, leading to whipsaws and losses. APEX V2 solves this by requiring multiple independent confirmation signals before entering trades, ensuring that: Institutional Activity is Confirmed: FAM and OFA detect when large players are positioning Directional Bias is Established: DBE quantifies market sentiment through probabilistic analysis Structural Context is Validated: SMS identifies key support/resistance levels Volatility Regime is Appropriate: VCL ensures trades occur in favorable volatility conditions Momentum Divergence is Present: MDM confirms smart money positioning through multi-oscillator divergence Mean Reversion Opportunity Exists: SRZ identifies statistical extremes for reversal trades Order Flow is Toxic: OFA detects aggressive institutional buying/selling Anchor Deviation is Extreme: Multi-timeframe VWAP deviation signals absorption zones Trend Momentum Confirmation: Trend-following signals with minimal lag Each analytical module provides a unique perspective on market structure. By requiring confluence across multiple dimensions, APEX V2 captures only the highest-quality setups where institutional activity, technical structure, momentum, volatility, and order flow all align. Strategy Components Explained 1. Flow Absorption Module (FAM) FAM analyzes VWAP deviation across 2-minute, 5-minute, and 15-minute timeframes to identify institutional liquidity absorption zones. When price deviates significantly from VWAP (default: 8.0 sigma on 2m/5m, 4.0 sigma on 15m) combined with volume surges (2.25x average) and sufficient relative volume (0.6+), FAM signals institutional absorption. The strategy requires 2+ timeframe confirmation for FAM signals. Buy signals occur when price is below VWAP with volume surge across multiple timeframes (institutions absorbing at lows). Sell signals occur when price is above VWAP with volume surge (institutions distributing at highs). FAM contributes 1 point to the confluence score when absorption is detected, indicating institutional players are actively positioning at price extremes. 2. Directional Bias Engine (DBE) DBE calculates directional bias by analyzing the ratio of bullish vs bearish bars over a lookback period (default: 100 bars) combined with momentum analysis. The engine weights directional bias (60%) and momentum bias (40%) to produce a combined bias score ranging from -1.0 (extreme bearish) to +1.0 (extreme bullish). When combined bias exceeds the threshold (default: 0.65), DBE signals bullish bias. When below -0.65, it signals bearish bias. This probabilistic approach quantifies market sentiment and filters trades against the prevailing bias. DBE contributes 1 point to confluence when bias aligns with trade direction, ensuring trades flow with statistical probability rather than against it. 3. Structure Mapping System (SMS) SMS detects structural pivot highs and pivot lows using configurable left/right bar parameters (default: 10 bars each). The system maintains arrays of the 10 most recent resistance and support levels, then checks if current price is within 1% of any tracked level. When price approaches support (within 1% of recent pivot lows), SMS signals potential bounce. When price approaches resistance (within 1% of recent pivot highs), SMS signals potential rejection. These structural levels represent areas where price previously reversed, making them high-probability zones for future reversals. SMS contributes 1 point to confluence when price is near support (for longs) or resistance (for shorts), providing structural context for entries. 4. Volatility Classification (VCL) VCL classifies current volatility regime using ATR percentile ranking over a lookback period (default: 100 bars). The system calculates normalized ATR (ATR / price * 100) and determines its percentile rank. High volatility is defined as 70th percentile or above, low volatility as 30th percentile or below. While VCL doesn't directly contribute to confluence scoring, it provides critical context displayed in the dashboard. High volatility regimes may require wider stops, while low volatility regimes may produce more reliable mean reversion signals. The strategy adapts to volatility by using ATR-based position sizing and stop loss placement, ensuring risk management scales with market conditions. 5. Momentum Divergence Module (MDM) MDM detects multi-oscillator divergences by comparing price pivots with RSI pivots. Bullish divergence occurs when price makes lower lows but RSI makes higher lows (indicating weakening selling pressure). Bearish divergence occurs when price makes higher highs but RSI makes lower highs (indicating weakening buying pressure). The system tracks divergence counts and requires a minimum number of divergences (default: 2) before signaling. This prevents single-divergence false signals and ensures sustained divergence patterns. MDM contributes 1 point to confluence when divergence aligns with trade direction, confirming that smart money is positioning against the prevailing price trend. 6. Statistical Reversion Zones (SRZ) SRZ combines Bollinger Bands with RSI to identify statistical extremes for mean reversion trades. The system calculates Bollinger Bands (default: 20-period, 2.0 standard deviations) and RSI (default: 14-period) to detect oversold and overbought conditions. Oversold signals occur when price is below the lower Bollinger Band AND RSI is below 30. Overbought signals occur when price is above the upper Bollinger Band AND RSI is above 70. These dual conditions ensure both price and momentum are at extremes. SRZ contributes 1 point to confluence when statistical extremes align with trade direction, identifying high-probability mean reversion opportunities. 7. Order Flow Analysis (OFA) OFA detects institutional order flow through toxicity analysis and absorption coefficient calculation. The toxicity index measures aggressive vs passive order flow by analyzing candle position and volume. When toxicity exceeds threshold (default: 0.7), it indicates institutions are aggressively taking liquidity. The absorption coefficient quantifies institutional absorption by measuring volume intensity relative to price movement. High absorption (default: 0.75+) with minimal price movement indicates institutions are positioning without moving price significantly. OFA calculates a confidence score (0-100%) based on absorption strength and toxicity. When confidence exceeds minimum threshold (default: 75%), OFA signals high-probability institutional activity. OFA contributes 1 point to confluence when institutional footprints are detected with high confidence, confirming large players are actively positioning. 8. Anchor Deviation Bands Anchor Deviation analyzes multi-timeframe VWAP deviation (2m, 5m, 15m) combined with oscillator sigma gap confirmation. The system calculates VWAP deviation using configurable methods (Price Volatility, Z-Score, or Spread StDev) and measures the gap between VWAP deviation and oscillator z-scores. Buy signals occur when 2+ timeframes show negative VWAP deviation (price below VWAP) with 2+ timeframes confirming oscillator gap. Sell signals occur when 2+ timeframes show positive VWAP deviation with gap confirmation. Anchor Deviation contributes 1 point to confluence when multi-timeframe tension is detected, indicating price is at extreme deviation from institutional reference levels. 9. Trend Momentum Signals Trend Momentum Signals use a zero-lag EMA combined with volatility bands and trend strength analysis. The system calculates a zero-lag EMA by compensating for lag (EMA of price + (price - price )), then applies volatility bands using ATR multiplier (default: 1.5x). The trend strength score is calculated by comparing current zero-lag EMA with historical values over a loop range (default: 1-70 bars). Long signals occur when trend score exceeds uptrend threshold (default: 5) AND price is above the upper volatility band. Short signals occur when trend score is below downtrend threshold (default: -5) AND price is below the lower volatility band. Trend Momentum contributes 1 point to confluence when trend signals align with trade direction, providing trend-following confirmation with minimal lag. 10. Deviation Reversion System Component The Deviation Reversion System component calculates deviation levels from a moving average (configurable: WMA, SMA, RMA, EMA, HMA). Three deviation levels are defined (default: 1.3%, 7.5%, 13.3%) representing progressively extreme deviations from the mean. Buy signals occur when price drops below the first deviation level (mean - 1.3%). Sell signals occur when price rises above the first deviation level (mean + 1.3%). This component identifies when price has deviated sufficiently from its mean to warrant mean reversion trades. Deviation Reversion contributes 1 point to confluence when price is at deviation extremes, complementing the SRZ module with a simpler percentage-based approach. Confluence System & Signal Aggregation APEX V2's core innovation is its confluence system. The strategy counts bullish and bearish signals from all 9 analytical modules: FAM: Absorption buy/sell (2+ timeframe confirmation) DBE: Bullish/bearish bias (>0.65 or <-0.65) SMS: Near support/resistance (within 1%) MDM: Bullish/bearish divergence (2+ divergences) SRZ: Oversold/overbought (BB + RSI extremes) OFA: Institutional buy/sell (75%+ confidence) Anchor Deviation: Tension buy/sell (2+ timeframe + gap confirmation) Deviation Reversion: Buy/sell signal (price at deviation levels) Trend Momentum: Long/short signal (trend score + volatility bands) When confluence mode is enabled (default: ON), the strategy requires a minimum number of modules to agree (default: 3 out of 9) before executing trades. This dramatically reduces false signals by ensuring multiple independent perspectives confirm the setup. If both long and short signals meet confluence requirements simultaneously, the strategy selects the direction with more confirming modules. If tied, no trade is executed to avoid ambiguous setups. Risk Management System APEX V2 includes comprehensive risk management: Position Sizing: Calculated based on risk per trade percentage (default: 2% of equity). The system calculates stop distance using ATR and sizes positions so that if stopped out, the loss equals exactly 2% of account equity. Stop Loss: Set at a percentage below entry (default: 2% for longs, 2% above for shorts). Stops are placed immediately upon entry to limit maximum loss per trade. Take Profit: Set at a percentage above entry (default: 4% for longs, 4% below for shorts). This provides a 2:1 reward-to-risk ratio. Trailing Stop: Activates when take profit level is reached, then trails price by a percentage (default: 1.5%). This locks in profits while allowing winners to run. Reversal Exits: If an opposite signal meets confluence requirements while in a position, the strategy immediately closes the current position. This prevents holding losing positions when market structure shifts. Strategy Properties & Backtesting Parameters The strategy uses realistic backtesting parameters to avoid misleading results: Initial Capital: $10,000 (realistic for average retail trader) Position Size: 100% of equity (controlled by risk-based position sizing) Pyramiding: 3 (allows up to 3 positions in same direction) Commission: Should be set to realistic levels (0.1% for crypto, 0.05% for forex, $1-5 per trade for stocks) Slippage: Should be set to realistic levels (5-10 ticks for liquid markets) Risk Per Trade: 2% (sustainable risk level) Stop Loss: 2% (prevents catastrophic losses) Take Profit: 4% (2:1 reward-to-risk ratio) These parameters ensure backtesting results reflect realistic trading conditions. The strategy is designed to generate 100+ trades over a sufficient dataset to produce statistically significant results. Visual Elements FAM Gradient Ribbon: 5-layer cyan/magenta ribbon showing liquidity absorption intensity around VWAP OFA Gradient Ribbon: 5-layer gold/indigo ribbon showing institutional order flow intensity Anchor Deviation Ribbon: 5-layer teal/purple ribbon showing multi-timeframe VWAP tension Entry Signals: Green triangle up for LONG entries, red triangle down for SHORT entries Position Markers: Small circles below/above bars indicating active positions Stop Loss Lines: Red lines showing stop loss levels for active positions Take Profit Lines: Green lines showing take profit targets for active positions Average Entry Price: White line showing average entry price for active positions Comprehensive Dashboard: Real-time metrics including position status, P&L, signal confluence, individual module status, and performance metrics Dashboard Metrics The dashboard displays 20+ real-time metrics: Position Status: Status: LONG, SHORT, or FLAT Position Size: Current position quantity P&L: Open profit/loss in currency and percentage Signal Confluence: Bull Signals: Count of bullish indicators (X/9) with checkmark if confluence met Bear Signals: Count of bearish indicators (X/9) with checkmark if confluence met Individual Indicator Status: FAM: BUY/SELL with deviation value DBE: BULL/BEAR with bias score SMS: SUP/RES (support/resistance proximity) VCL: HIGH/LOW/NORM with percentile MDM: BULL/BEAR with RSI value SRZ: OS/OB (oversold/overbought) with RSI value OFA: INST+/INST-/TOX+/TOX- with confidence percentage ADB: BUY/SELL with deviation value TMS: LONG/SHORT with trend score Performance Metrics: Win Rate: Percentage and win/loss ratio Net Profit: Currency and percentage return Equity: Current equity and percentage change from initial capital Input Parameters Strategy Settings: Enable LONG/SHORT Trades: Toggle trade directions Require Multi-Module Confluence: Enable/disable confluence requirement Minimum Confluence Count: Number of modules that must agree (1-7, default: 3) FAM Settings: Enable FAM, VWAP Mode, Deviation Method, Volume Lookback, Volume Surge Multiplier, RVOL Threshold, 2m/5m/15m Thresholds, Show Gradient Ribbon DBE Settings: Enable DBE, Bias Lookback, Bias Threshold, Momentum Weight SMS Settings: Enable SMS, Pivot Left/Right Bars, Structure Lookback VCL Settings: Enable VCL, ATR Length, Regime Lookback, High/Low Vol Thresholds MDM Settings: Enable MDM, RSI Length, Pivot Lookback, Min Divergences SRZ Settings: Enable SRZ, Bollinger Length/Multiplier, RSI Length, RSI Overbought/Oversold OFA Settings: Enable OFA, Toxicity Lookback/Threshold, Min Absorption Coefficient, Minimum Confidence %, Show Gradient Ribbon Anchor Deviation Settings: Enable Anchor Deviation, VWAP Dev Mode, 2m/5m/15m VWAP Thresholds, 2m/5m/15m Osc σ-Gap Thresholds, Show Gradient Ribbon Deviation Reversion Settings: Enable Deviation Reversion System, MA Type, MA Period, Deviation 1/2/3 percentages Trend Momentum Settings: Enable Trend Momentum Signals, Zero Lag Length, Volatility Multiplier, Loop Start/End, Threshold Uptrend/Downtrend Risk Management Settings: Enable Stop Loss, Stop Loss %, Enable Take Profit, Take Profit %, Enable Trailing Stop, Trailing Stop %, Risk Per Trade % Visualization Settings: Show Entry/Exit Signals, Show Dashboard, Show All Gradient Ribbons, Ribbon Brightness Adjust How to Use This Strategy Step 1: Configure Backtesting Parameters Set realistic commission and slippage in Strategy Properties. For crypto: 0.1% commission, 10 ticks slippage. For forex: 0.05% commission, 5 ticks slippage. For stocks: $1-5 per trade commission, 5 ticks slippage. Step 2: Set Risk Parameters Configure Risk Per Trade (default: 2%), Stop Loss (default: 2%), and Take Profit (default: 4%). These provide sustainable risk management with 2:1 reward-to-risk ratio. Step 3: Choose Confluence Level Set Minimum Confluence Count based on your risk tolerance. Higher confluence (4-5 indicators) produces fewer but higher-quality signals. Lower confluence (2-3 indicators) produces more signals but with more false positives. Step 4: Enable/Disable Indicators Toggle individual modules based on market conditions and your trading style. For trending markets, emphasize DBE, Trend Momentum, and Anchor Deviation. For ranging markets, emphasize SRZ, MDM, and Deviation Reversion. Step 5: Monitor Dashboard Watch the dashboard for signal confluence. When Bull Signals shows 3+/9 with checkmark, the strategy is ready to enter long. When Bear Signals shows 3+/9 with checkmark, ready to enter short. Step 6: Review Individual Indicators Check which specific modules are signaling. High-quality setups show alignment across multiple module types (institutional + technical + momentum + volatility). Step 7: Backtest on Sufficient Data Run backtests on datasets that generate 100+ trades for statistical significance. Review win rate, net profit, maximum drawdown, and profit factor. Step 8: Optimize Parameters Adjust module parameters for your specific instrument and timeframe. Avoid over-optimization - parameters should work across multiple instruments and time periods. Step 9: Forward Test After backtesting, forward test on paper trading or small live positions to validate strategy performance in real market conditions. Step 10: Monitor Performance Track Win Rate, Net Profit, and Equity metrics in the dashboard. If performance degrades, re-evaluate parameters or market conditions. Best Practices Use on liquid instruments with sufficient volume for reliable signals Higher confluence (4-5 modules) is recommended for beginners to reduce false signals Lower confluence (2-3 modules) can be used by experienced traders who can filter signals manually Backtest on multiple timeframes (5m, 15m, 1h, 4h) to find optimal timeframe for your instrument Use realistic commission and slippage - overly optimistic parameters produce misleading results Risk no more than 2% per trade to ensure account survival during drawdown periods Monitor VCL (Volatility Classification) - high volatility may require wider stops or reduced position size Combine with higher timeframe trend analysis - trading with the trend improves win rate Review individual module signals to understand why confluence was met Disable modules that consistently produce false signals for your specific instrument Enable trailing stops to lock in profits on winning trades Use pyramiding (default: 3) to add to winning positions when additional confluence signals appear Avoid trading during major news events - volatility spikes can invalidate technical signals Backtest over multiple market conditions (trending, ranging, high volatility, low volatility) Forward test for at least 100 trades before committing significant capital Strategy Limitations Requires sufficient historical data for all modules - may not work well on newly listed instruments Multi-timeframe analysis (FAM, Anchor Deviation) requires data availability on 2m, 5m, 15m timeframes Confluence requirement reduces trade frequency - may produce few signals on some instruments/timeframes Backtesting results are historical and do not guarantee future performance Strategy performance degrades during extreme volatility events (flash crashes, circuit breakers) Commission and slippage significantly impact profitability - must use realistic values Pyramiding can amplify losses if market reverses after adding to position Stop loss placement using fixed percentage may be suboptimal during volatility regime changes Module parameters optimized for one instrument may not work on others Requires regular monitoring and parameter adjustment as market conditions evolve Dashboard metrics are real-time snapshots and can change rapidly during volatile periods Strategy assumes sufficient liquidity to execute at desired prices - may not work on illiquid instruments Trailing stops can be triggered by normal volatility, closing winning trades prematurely Reversal exits may close positions too early if opposite signal is temporary Technical Implementation Built with Pine Script v6 using: 9 independent analytical modules with individual enable/disable controls Multi-timeframe security requests for FAM and Anchor Deviation (2m, 5m, 15m) Confluence-based signal aggregation with configurable minimum threshold Risk-based position sizing using ATR and account equity Dynamic stop loss, take profit, and trailing stop management Strategy.entry and strategy.exit functions for automated trade execution Reversal exit logic to close positions when opposite confluence is met Three 5-layer gradient ribbons (FAM, OFA, Anchor Deviation) with progressive transparency Comprehensive dashboard with 20+ real-time metrics using table visualization 5 alert conditions for trade signals and position changes Performance tracking (win rate, net profit, equity) displayed in dashboard Pyramiding support (up to 3 positions) for scaling into winning trades The code is fully open-source and can be modified to suit individual trading styles and risk tolerances. Originality Statement This strategy is original in its multi-confluence approach to algorithmic trading. The strategy synthesizes multiple analytical concepts into a unified framework: It synthesizes 9 proprietary analytical concepts into a unified confluence system The confluence requirement dramatically reduces false signals compared to single-method strategies Each concept provides a unique perspective: institutional activity (FAM, OFA), directional bias (DBE), structural context (SMS), volatility regime (VCL), momentum divergence (MDM), mean reversion (SRZ), anchor deviation (multi-timeframe), and trend following (Trend Momentum) Risk management system uses ATR-based position sizing to risk exactly 2% per trade regardless of stop distance Reversal exit logic closes positions when opposite confluence is met, preventing holding losing positions during structure shifts Comprehensive dashboard synthesizes 20+ metrics into actionable intelligence Three gradient ribbons (FAM, OFA, Anchor Deviation) provide visual confirmation of institutional activity and order flow Strategy is designed with realistic backtesting parameters (commission, slippage, position sizing) to avoid misleading results Pyramiding support allows scaling into winning positions when additional confluence appears Individual module enable/disable controls allow customization for different market conditions and trading styles The strategy's value lies in its systematic approach to trade selection through multi-dimensional confluence. By requiring agreement across institutional activity, technical structure, momentum, volatility, and order flow, APEX V2 captures only the highest-quality setups where all factors align. This reduces emotional decision-making and provides a repeatable, testable framework for algorithmic trading. Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results. Backtesting results are hypothetical and may not reflect actual trading performance. Always use proper risk management, never risk more than you can afford to lose, and thoroughly test any strategy on paper before committing real capital. Commission, slippage, and market conditions significantly impact profitability. No strategy works in all market conditions. Regular monitoring and parameter adjustment are required. -Made with passion by officialjackofalltrades
Pine Script® strategy
by officialjackofalltrades
[ A L P H A X ] Sniper - Tiered Entry + TP/SL LevelsAlphaX Sniper — Multi-Layer Confluence Scoring, Tiered Entry Grading, ATR-Based TP/SL Levels, Trailing Stop & Sniper Kill Zones AlphaX Sniper is a precision entry system built around a multi-factor confluence scoring engine that evaluates trend strength, oscillator positioning, volume, session quality, and higher timeframe bias simultaneously — then grades every signal into one of three tiers: A, AA, or AAA. Designed for traders who want surgical, high-confidence entries rather than a constant stream of noise. Built for XAUUSD, forex majors, and indices across intraday timeframes. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📸 Visual Overview Full chart view showing trend ribbon, tiered signal labels, TP/SL levels, sniper kill zones, and trailing stop ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔬 The Trend Engine — How It Works At the foundation of AlphaX Sniper is a four-EMA Trend Engine that scores the current market structure from -4 to +4 and classifies it into distinct trend states: Fast EMA (8) — immediate momentum reference, most sensitive to price changes Medium EMA (21) — intermediate trend confirmation layer Slow EMA (55) — the trend backbone, filters short-term noise Anchor EMA (200) — the macro structural divider; being above or below it determines the dominant bias The engine scores four independent conditions each bar: EMA ribbon alignment (Fast > Medium > Slow for bull, reverse for bear) Fast EMA slope direction (accelerating up or down) Medium EMA slope direction Price position relative to the Anchor EMA Each condition contributes ±1 to the Trend Score , producing a value from -4 to +4: +4 / +3 — Strong Bull Trend +2 — Moderate Bull Trend +1 — Mild Bull 0 — Neutral / Ranging -1 — Mild Bear -2 — Moderate Bear Trend -4 / -3 — Strong Bear Trend The space between the Fast EMA and Slow EMA is filled with a Trend Ribbon — yellow-green during bull conditions, red during bear conditions, and gray when the market is neutral or transitioning. The ribbon visually communicates the current trend state at a glance without requiring you to read any values. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 The Confluence Scoring System Every signal in AlphaX Sniper is produced by a real-time confluence scoring engine that evaluates six independent factors and produces a bull score and a bear score from 0 to 100 on every bar. Trend Strength (up to 30 points) Strong Bull/Bear Trend (score ±3 or ±4) — 30 points Moderate Trend (score ±2) — 20 points Mild Trend (score ±1) — 10 points Neutral — 0 points RSI Positioning (up to 20 points) RSI recovering from pullback zone (crossing back above/below threshold) — 20 points RSI sitting in pullback zone — 12 points RSI already extended in the opposite direction — up to -15 points (penalty) Stochastic Trigger (up to 15 points) %K crossing %D while recovering from oversold/overbought territory — 15 points %K/%D crossover alone — 12 points %K exiting oversold or overbought zone — 8 points MACD Alignment (up to 10 points) When MACD filter is enabled: aligned and accelerating — 10 points; aligned but flat — 5 points When MACD filter is disabled: full 10 points awarded by default (does not penalize) Volume Quality (up to 10 points) Volume spike (>1.5× the 20-SMA) — 10 points Above-average volume (>1.0×) — 7 points Meets minimum volume threshold — 4 points Candle Structure, HTF Bias & Session (up to 10 points) Strong directional candle with solid body — 5 points Higher timeframe EMA alignment confirming the same direction — 5 points London/NY overlap session — 5 points; London or NY solo — 3 points; Asia — 0 points Penalty Deductions RSI at extreme opposing level — up to -15 points Low volatility (ATR filter active and failing) — -10 points Asian session — -8 points ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 Three-Tier Signal Grading (A / AA / AAA) Tiered signal labels — AAA signals carry the highest confluence score and strongest setup quality Once the confluence scores are calculated and all filters pass, signals are graded into three quality tiers: AAA ▲ / ▼ — Score ≥ 65. Maximum confluence. All major factors aligned. Highest-conviction entries. Displayed with the brightest label color. AA ▲ / ▼ — Score 45–64. Strong setup with multiple confirming factors. High-quality entry with most conditions in your favor. A ▲ / ▼ — Score 30–44. Valid setup meeting all trigger and filter requirements, but fewer confirming factors. Still a filtered, quality signal — not noise. Signals below 30 are never displayed regardless of trigger conditions. The tier label appears directly on the chart with the score printed in parentheses so you can see exactly how strong the confluence was: e.g. ▲ AAA (71) or ▼ AA (52) . A cooldown window (default: 5 bars) prevents back-to-back signals from firing in quick succession during choppy conditions. Bull and bear cooldowns are tracked independently. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📐 ATR-Based TP/SL Levels Automatically plotted TP1, TP2, TP3, and SL dashed lines extending forward from every signal bar Every signal automatically generates a full set of Take Profit and Stop Loss levels based on the current ATR, placing them at configurable multiples of market volatility rather than fixed pip values: Stop Loss — 1.5× ATR from entry (default) — tight enough to protect capital, wide enough to breathe TP1 — 1.5× ATR — the conservative first target, ideal for partial profit-taking TP2 — 3.0× ATR — the primary target for the main portion of the position TP3 — 5.0× ATR — the extended runner target for strong momentum moves All levels are plotted as dashed horizontal lines extending 25 bars forward from the signal bar with clean price labels. As price hits each level, a TP1 ✓ / TP2 ✓ / TP3 ✓ marker appears on the chart and the dashboard TP Status updates in real time. When the stop loss is hit, a SL ✕ marker appears and the active trade state resets. All ATR multiples are fully configurable. Adjust the SL multiple tighter for higher-timeframe trades or wider for volatile instruments like XAUUSD during news events. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🛡 Trailing Stop A dynamic trailing stop follows the active trade, ratcheting in the direction of the move to protect accumulated profits: During a long trade — the trail is calculated as close − (ATR × multiplier) and only moves upward, never retracing During a short trade — the trail is close + (ATR × multiplier) and only moves downward If price violates the trailing stop, the active trade state resets and the trail line disappears Default trail multiplier: 2.0× ATR — aggressive enough to capture trends while giving the position room to breathe The trailing stop is plotted as a step-line in the bull or bear color and updates on every bar in real time. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🗺 Sniper Kill Zones Shaded entry zones appearing on signal bars — the price area between the entry candle and the stop loss level On every signal bar, AlphaX Sniper draws a Sniper Kill Zone — a shaded rectangular box that marks the entry price area: For bull signals — the zone spans from the signal bar's high down to the stop loss level, colored in the bull theme For bear signals — the zone spans from the stop loss level down to the bar's low, colored in the bear theme The box extends forward a configurable number of bars (default: 6) to visually represent the entry window Kill zones serve as a visual reminder of where a valid re-entry or limit order can be placed after the initial signal bar closes. If price pulls back into the zone during the next few bars, the setup is still within its original risk structure. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⏱ Session Filter & Session Quality Session timing has a direct impact on signal quality. AlphaX Sniper tracks four session windows based on UTC/GMT time: London/NY Overlap — highest liquidity, strongest follow-through, 100 session quality score New York — strong directional sessions, 85 quality score London — clean trend sessions especially in the open, 80 quality score Asia — lowest liquidity, prone to false moves, 30 quality score — signals here receive an -8 point penalty The optional Session Filter can be enabled to block all signals outside of London and NY entirely. When disabled (default), the session quality factor still penalizes Asian session signals through the scoring system — you see them, but they score lower. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📋 Live Dashboard Real-time dashboard showing all key market state values at a glance The built-in dashboard displays a full snapshot of current market conditions in real time: TREND — current trend state: STRONG BULL / BULL / MILD BULL / NEUTRAL / MILD BEAR / BEAR / STRONG BEAR TREND SCORE — the raw score from -4 to +4 powering the trend classification RSI — current RSI value color-coded by zone (overbought / neutral / oversold) STOCH K — current stochastic %K value with overbought/oversold coloring MACD — current MACD state: BULL MOM / BULL / BEAR MOM / BEAR / FLAT VOLUME — volume classification (SPIKE / HIGH / NORMAL / DRY) with live ×ratio vs the 20-SMA ATR — current ATR value and ATR as a percentage of price SESSION — current active session name (LN/NY / NEW YORK / LONDON / ASIA / OFF-SESSION) HTF BIAS — higher timeframe EMA alignment: BULLISH / BEARISH / NEUTRAL ACTIVE TRADE — current trade direction: LONG / SHORT / NONE TP STATUS — live progress through the TP levels: RUNNING → TP1 ✓ → TP2 ✓✓ → TP3 ✓✓✓ / SL HIT BULL SCORE — current bull confluence score out of 100 BEAR SCORE — current bear confluence score out of 100 Dashboard position (Top Right default), text size, and colors are all configurable. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 How to Trade with AlphaX Sniper — Step by Step Step 1 — Read the Dashboard Check the Trend and Trend Score — are you in a strong trend or a neutral range? Check HTF Bias — does the higher timeframe EMA structure confirm your direction? Check Session — are you in London or NY? If Asia, expect lower-quality signals. Step 2 — Wait for a Tiered Signal An ▲ AAA / AA / A label below the bar is your bull entry signal A ▼ AAA / AA / A label above the bar is your bear entry signal Prioritize AAA signals in trending markets — these represent maximum confluence AA signals are still high quality and tradable in most conditions A signals are valid but consider taking smaller size or waiting for additional confirmation Step 3 — Use the Kill Zone for Entry Enter at the close of the signal bar, or wait for a pullback into the Kill Zone A limit order inside the Kill Zone can offer a better entry price while staying within the original risk structure Step 4 — Set Your Levels Stop Loss is plotted automatically — honor it Target TP1 first for a partial close, then trail the remainder toward TP2 and TP3 Let the trailing stop manage the remainder once TP1 is achieved Step 5 — Monitor TP Progress The dashboard TP Status updates as each level is hit TP ✓ markers appear on the chart at the bar where each target was reached If the trailing stop tightens and triggers before TP3, that is the system protecting your profit — respect it Step 6 — Reset on SL Hit An SL ✕ marker appears when price hits the stop level The active trade state resets — the dashboard returns to NONE and TP tracking clears Reassess the dashboard for a fresh signal before re-entering ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ Key Features 📊 Four-EMA Trend Engine with -4 to +4 scoring — classifies trend into 7 distinct strength states 🎯 Three-tier signal grading (A / AA / AAA) — score printed on every label for full transparency 🧠 Multi-factor confluence scoring across trend, RSI, Stochastic, MACD, volume, session, and HTF bias 📐 Automatic ATR-based TP1 / TP2 / TP3 and SL levels plotted on every signal 🛡 Dynamic trailing stop — ratchets with the move, resets on breach 🗺 Sniper Kill Zones — shaded entry boxes marking the valid entry area for limit orders ⏱ Session-aware scoring — London/NY overlap rewarded, Asia penalized 🔭 Higher timeframe bias filter — built-in HTF EMA alignment check without switching charts ⚙ Optional filters — Volume, Candle Body Strength, MACD Alignment, ATR Volatility Minimum, Session 🕒 Configurable signal cooldown — prevents signal spam during choppy transitions 📋 Live 13-row dashboard — trend state, scores, oscillators, volume, session, trade status, TP progress 🎨 Cohesive dual-tone color system — yellow-green for bull, red for bear, gray for neutral 🔔 17 alert conditions — tiered entries, any entry, TP levels, SL, trend state changes ⚙ Fully configurable — all EMA periods, RSI/Stoch parameters, TP/SL multiples, filters, colors, and dashboard settings ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙ Settings Reference Trend Engine Trend Fast EMA — momentum reference (default: 8) Trend Medium EMA — intermediate confirmation (default: 21) Trend Slow EMA — trend backbone (default: 55) Trend Anchor EMA — macro structural divider (default: 200) Show Trend EMAs — toggle EMA line and ribbon visibility Show Anchor EMA (200) — toggle the 200 EMA separately Sniper Entry RSI Period — oscillator lookback (default: 9) RSI Bull Pullback ≤ — threshold defining the bull pullback zone (default: 48) RSI Bear Pullback ≥ — threshold defining the bear pullback zone (default: 52) Stoch Length — stochastic lookback (default: 14) Stoch Smooth — %K smoothing period (default: 3) Stoch Overbought / Oversold — extreme zone thresholds (default: 75 / 25) Precision Filters Require Volume Confirmation — enforce minimum volume vs 20-SMA (default: off) Min Volume vs 20-SMA — minimum volume ratio when filter is on (default: 0.6×) Require Candle Strength — enforce minimum body/range ratio (default: on) Min Body/Range Ratio — minimum candle body as a fraction of full range (default: 0.25) Require MACD Alignment — block signals when MACD is counter-directional (default: off) Filter Low Volatility — require minimum ATR % of price (default: off) Min ATR % of Price — minimum ATR threshold when volatility filter is on (default: 0.02%) Signal Cooldown (bars) — minimum bars between same-direction signals (default: 5) TP / SL Show TP/SL Levels — toggle all TP and SL line display ATR Period for TP/SL — ATR calculation period (default: 14) Stop Loss ATR Multiple — SL distance (default: 1.5×) TP1 / TP2 / TP3 ATR Multiples — target distances (defaults: 1.5× / 3.0× / 5.0×) Sniper Zones Show Sniper Kill Zones — toggle entry zone boxes Zone Forward Extension — how many bars the zone box extends forward (default: 6) Session Filter Enable Session Filter — block signals outside kill zone windows (default: off) London Open / NY Open / NY Close / Asia Open / Asia Close — configurable GMT hour boundaries Appearance Label Size — Tiny / Small / Normal Show Trailing Stop — toggle trailing stop line Trail ATR Multiple — trailing stop distance (default: 2.0×) Colors Full dual-tone color system — every bull, bear, and neutral element is independently configurable Separate colors for: ribbon, EMAs, labels (background + text), TP lines, SL lines, kill zones, trailing stops, dashboard Dashboard Show Dashboard — toggle visibility Position — Top Left / Top Right / Bottom Left / Bottom Right (default: Top Right) Text Size — Tiny / Small / Normal ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔔 Alert Conditions AAA Bull Sniper Entry — fires on maximum-confluence bull signals only AA Bull Sniper Entry — fires on high-quality bull signals A Bull Sniper Entry — fires on valid bull signals AAA / AA / A Bear Sniper Entry — same three tiers for bear signals Any Bull Sniper Entry — fires on any bull signal regardless of tier Any Bear Sniper Entry — fires on any bear signal regardless of tier Any Sniper Entry — fires on any signal in either direction TP1 Hit / TP2 Hit / TP3 Hit — fires when each take profit level is reached Stop Loss Hit — fires when the stop loss is breached Strong Bull Trend Started — fires when Trend Score first reaches ≥ +3 Strong Bear Trend Started — fires when Trend Score first reaches ≤ -3 All alert messages include {{ticker}} and {{interval}} placeholders for clean webhook integration. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 Default Settings — Optimized For The default configuration is specifically tuned for XAUUSD (Gold) on the 1-minute and 5-minute timeframes : RSI period of 9 for fast response to gold's intraday price swings Candle Strength filter on (0.25 body ratio) to avoid wicks and indecision candles Cooldown of 5 bars prevents signal clustering during volatile transitions Session scoring automatically penalizes Asian-session signals on gold Trail ATR multiple at 2.0× provides generous breathing room for gold's characteristic oscillations For other instruments or timeframes, consider adjusting: Higher timeframes (15m, 1H) — increase EMA periods, increase TP2/TP3 multiples to 4×/7× Forex majors — reduce Fast EMA to 5–8, reduce SL multiple to 1.0–1.2× Indices (NAS100, US30) — increase RSI period to 11–14, enable MACD filter for extra precision More signals — reduce cooldown, disable Candle Strength filter, lower score threshold to ~25 Fewer signals — enable all filters, increase cooldown to 8–10 bars, use AAA alerts only ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 👥 Who This Is For 🥇 Gold (XAUUSD) scalpers and intraday traders — default settings tuned specifically for gold's session structure and volatility 📉 Forex traders — applicable to all majors and minors with minor EMA and RSI adjustments 📊 Index traders — works on US30, NAS100, SPX500, DAX, and others 🧠 Data-driven traders — the scored, graded signal system provides a quantitative framework rather than arbitrary lines on a chart 🎯 Precision-focused traders — tiered grading lets you focus exclusively on AAA setups for the highest-conviction trades 📈 Trade management focused traders — the automatic TP/SL levels, trailing stop, and live TP status tracker remove the guesswork from position management ⚠ Traders who struggle with overtrading — the cooldown, minimum score threshold, and optional filters physically prevent low-quality signals from appearing ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📝 Notes Session detection uses UTC/GMT — the indicator automatically identifies London, NY, and Asia windows on any broker timezone Higher timeframe bias is calculated using multiplied EMA periods on the same chart rather than requesting a secondary timeframe — this avoids repainting and keeps all calculations on bar close All signal conditions are evaluated on bar close — the indicator does not repaint The trailing stop logic and TP hit detection use intrabar high/low values to accurately reflect when levels were reached, consistent with standard trade execution behavior Maximum 500 labels are used — on very long chart histories at low timeframes, the oldest labels may be automatically removed by TradingView's rendering limits Volume-based features (volume filter, volume score) may behave differently on instruments with limited volume data — consider disabling the volume filter on synthetics and CFDs if volume data is unreliable ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠ Disclaimer This indicator is a technical analysis and visualization tool intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. All signals are generated from historical and real-time price data using mathematical calculations — their accuracy or profitability is not guaranteed. Past performance of any signal type does not guarantee future results. Always conduct your own analysis, use proper risk management, and consult a licensed financial advisor before making any trading decisions. The author accepts no responsibility for any losses incurred from the use of this indicator. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Built for traders who demand precision over volume — fewer signals, higher conviction, complete trade management.
Pine Script® indicator
by AlphaX-Trade
4
ATR Trend Strategy with Moving Average | Fixed TP/SL version📈 ## ATR Trend Strategy with Moving Average # Overview This strategy combines a **Moving Average trend filter** with an **ATR-based breakout channel** to identify directional market movements. It is designed for traders who prefer **systematic trend-following strategies with clearly defined risk management**. The script builds an adaptive channel around a selected Moving Average using **Average True Range (ATR)**. When price moves beyond the ATR band and the move is confirmed for a defined number of bars, a trend state is established. Trade entries can then occur either on the initial breakout or on a pullback to the Moving Average. The strategy also includes **fixed percentage Take Profit and Stop Loss levels**, allowing users to evaluate performance under consistent risk parameters. --- ⚙️ # Key Features • **Multiple Moving Average types** Supports EMA, SMA, WMA, Hull MA, VWMA, RMA, and TEMA. • **ATR-based dynamic channel** Uses ATR to create adaptive upper and lower boundaries around the Moving Average. • **Two entry methods** Users can choose between breakout entries or Moving Average pullback entries. • **Trend confirmation filter** Signals are confirmed only after a configurable number of bars remain beyond the ATR boundary. • **Built-in risk management** Includes fixed percentage Take Profit and Stop Loss levels. • **Trade visualization** Displays the TP/SL zone directly on the chart for each trade. • **Performance statistics panel** Shows key strategy metrics such as: * Total trades * Win rate * Profit factor * Net profit * Expectancy * Average R * Maximum drawdown --- 🧠 # Strategy Logic The strategy follows a simple **trend-following structure** : 1️⃣ A Moving Average defines the market's baseline trend. 2️⃣ An ATR multiplier builds a dynamic volatility channel around the Moving Average. 3️⃣ When price breaks above or below this channel and remains there for a specified number of bars, a trend is confirmed. 4️⃣ Entries can occur via: **Breakout Mode** * Long when price breaks above the upper ATR band. * Short when price breaks below the lower ATR band. **MA Cross Mode** * After a confirmed trend, entries occur on pullbacks that cross the Moving Average. 5️⃣ Risk is controlled using **fixed percentage Take Profit and Stop Loss levels**. --- ⚙️ # Inputs Moving Average * MA Type * MA Length * MA Source ATR Signal * ATR Type * ATR Length * ATR Multiplier Trend Confirmation * Number of confirmation bars * Confirmation price source (Close or High/Low) Entry & Risk Management * Entry method (Breakout or MA Cross) * Take Profit (%) * Stop Loss (%) --- 📊 ## Usage Notes This strategy is designed for **trend-following market conditions** and may perform best in environments with sustained directional movement. Users are encouraged to **experiment with different Moving Average types, ATR multipliers, and confirmation settings** to adapt the strategy to different markets and timeframes. --- ⚠️ ## Disclaimer This script is provided for **educational and research purposes only**. Past performance does not guarantee future results. ---
Pine Script® strategy
by lahonglam
4x Reversal Confluence Strategy by Funded Relay================================================================================ COMPLETE USER GUIDE - "4x Reversal Confluence Strategy by Funded Relay" Pine Script v6 Strategy for High-Probability Trend Reversals ================================================================================ 1. STRATEGY OVERVIEW --------------------- Name: 4x Reversal Confluence Strategy Purpose: Detect high-probability trend REVERSALS (not continuations) Core Idea: Require 4+ layers of confirmation before entering: - Trend context (price near EMAs) - Momentum shift (MACD crossover / histogram flip) - Exhaustion (RSI oversold/overbought + divergence) - Order flow proxy (delta turning + CVD direction) - Volume participation (spike filter) Best markets: Futures (ES, NQ, YM), Major Forex, Volatile Crypto Best TFs: 5 min – 1H (intraday), 4H for swing Win-rate expectation: Lower than trend-following (~35–55%), but higher RR when correct Risk: Reversal strategies can have strings of losses → strict risk management 2. VISUAL ELEMENTS ON CHART ---------------------------- - Green triangle below bar + light green background → Bullish reversal signal - Red triangle above bar + light red background → Bearish reversal signal - Blue line → EMA 50 (short-term context) - Orange line → EMA 200 (major trend filter) Signals are rare → that's intentional (high confluence = fewer trades) 3. ENTRY RULES SUMMARY BULLISH (LONG) ENTRY - Price near or below EMA 50 / EMA 200 (potential bounce zone) - MACD bullish crossover OR histogram turning positive - RSI < 35 OR bullish divergence OR crossing above oversold - Delta EMA turning positive + CVD EMA rising (buyers gaining control) - Volume > 1.3× average (participation confirmation) BEARISH (SHORT) ENTRY - Price near or above EMA 50 / EMA 200 - MACD bearish crossunder OR histogram turning negative - RSI > 65 OR bearish divergence OR crossing below overbought - Delta EMA turning negative + CVD EMA falling - Volume spike 4. EXIT & RISK MANAGEMENT RULES -------------------------------- Initial Stop-Loss: ATR-based (default 1.5 × ATR(14) below/above entry) Opposite Signal Exit: Close long on bear signal / close short on bull signal Take Profit Targets: - Partial at 1:1.5–1:2 RR - Trail remaining with EMA 20/50 or fixed 1:3+ - Manual exit on RSI extreme opposite (RSI >75 long / <25 short) Position Sizing: Risk 0.5–1.5% per trade max (very important for reversals) Avoid / Reduce Size When: - Choppy range (EMAs flat & intertwined) - Low-volume session (Asian range forex/futures) - Right before high-impact news - No clear structure nearby (support/resistance, previous swing, FVG, etc.) 5. RECOMMENDED SETTINGS BY TIMEFRAME & MARKET Timeframe | EMA Short/Long | RSI OB/OS | MACD | divLookback | volMult | ATR Mult | Notes --------------|----------------|-----------|----------|-------------|---------|----------|---------------------- 5–15 min | 50 / 200 | 65 / 35 | 12-26-9 | 4–6 | 1.3–1.8 | 1.2–1.8 | Scalping / intraday 30 min–1H | 50 / 200 | 70 / 30 | 12-26-9 | 5–8 | 1.4–2.0 | 1.5–2.5 | Short swing 4H–Daily | 50 / 200 | 70 / 30 | 12-26-9 | 8–12 | 1.5–2.5 | 2.0–3.0 | Swing / positional General tuning tip: Start with defaults → backtest 100–200 trades → increase volMult / ATR Mult / divLookback until win rate stabilizes above 40% with good RR. 6. PRO TIPS & WORKFLOW ----------------------- 1. ALWAYS wait for structure Best entries = signal + confluence at key level (S/R, VWAP, previous day high/low, value area edge) 2. Journal every signal - Date / Time / Symbol / TF - Bull/Bear - Did all 5 conditions align? - Was there structure? - RR achieved / Win or Loss - Notes (news? session? volume behavior?) 3. Multi-timeframe alignment (advanced) - Entry on lower TF (5–15 min) - Check higher TF (1H–4H) for CVD direction or EMA slope agreement 4. Avoid revenge trading after losses Reversals can have 4–6 losers in a row in ranging markets → patience is key 5. Combine with order flow tools If you have footprint / volume profile → use this strategy to time entries at absorption zones 7. QUICK REFERENCE CARD (copy to phone notes) LONG CHECKLIST: □ Price ≤ EMA 50 or EMA 200 □ MACD cross up or hist positive flip □ RSI <35 or bull div or cross above oversold □ Delta EMA >0 & rising + CVD EMA rising □ Volume > avg × multiplier → Enter long SHORT CHECKLIST: □ Price ≥ EMA 50 or EMA 200 □ MACD cross down or hist negative flip □ RSI >65 or bear div or cross below overbought □ Delta EMA <0 & falling + CVD EMA falling □ Volume spike → Enter short ================================================================================ Last updated: March 2026 Test thoroughly in replay/demo before live trading. Happy trading!
Pine Script® strategy
by FundedRelay
Kepiro RangeReEntry SignalsKepiro Range Re-Entry Signals This indicator is tested on NASDAQ and is based on overnight trading range breakouts with re-entry confirmations. Main features: Identifies overnight session high and overnight session low for a specified time range. Detects price breakouts of at least X points (default: 20 points) outside the range, followed by a return inside. Long signal: Price breaks at least X points below the overnight low, then closes back above it. Short signal: Price breaks at least X points above the overnight high, then closes back below it. Automatic TP and SL level plotting for each signal. Tip: At the midpoint of the range, consider moving your stop to breakeven to lock in a risk-free trade. Usage: Ideal for time-based breakout–pullback strategies on NASDAQ. Works for both manual and algorithmic trading. The “Minimum breakout distance” parameter lets you control how strict the signals are.
Pine Script® indicator
by KepiroG
1
Gamma Hedging Pressure (Normalized -100 to +100)Gamma Hedging Pressure PRO (Normalized –100 to +100) Overview: Gamma Hedging Pressure PRO is a normalized dealer-flow oscillator designed to measure relative hedging pressure in a clean, automation-friendly format. This version transforms raw gamma pressure into a standardized –100 to +100 range, making it consistent across different stocks, indices, and ETFs. The normalization allows traders to use identical alert thresholds on any symbol without having to reconfigure values per instrument. Why Normalization Matters: Raw gamma values vary significantly across assets due to differences in volatility and price structure. By mapping pressure to a bounded –100 → +100 range: • +100 represents maximum bullish gamma pressure within the selected lookback • 0 represents neutral pressure • –100 represents maximum bearish gamma pressure This makes the indicator: Automation friendly Portfolio consistent Screener compatible Alert standardized Key Features: ✔ Normalized –100 to +100 scaling ✔ Rolling lookback adaptive structure ✔ Optional EMA smoothing ✔ Extreme pressure level detection ✔ Universal alert thresholds ✔ Works across stocks, indices, ETFs, futures: How to Use Suggested framework: +70 to +100 → Strong bullish gamma pressure +80 to +100 → Extreme squeeze conditions –70 to –100 → Strong bearish gamma pressure –80 to –100 → Capitulation risk Zero line crossovers can be used for directional bias shifts. This indicator is best used in confluence with: • Price structure • Liquidity zones • Volume analysis • Trend context It is not a standalone trading system. Automation & Alerts Because the values are normalized, traders can deploy identical alert logic across multiple symbols without manual recalibration. Example: Alert when Gamma > 80 Alert when Gamma < –80 Alert on zero crossover This significantly simplifies webhook and bot integration. Disclaimer: This script does not use proprietary options order flow data. It provides a proxy-based gamma pressure model for analytical purposes only. It does not constitute financial advice.
Pine Script® indicator
by uzair2join
2
AxMan Exhaustion Detection Reversal Rider1. The "Exhaustion" Phase (The Warning) The strategy first looks for a Yellow or Orange Diamond. This isn't a signal to buy yet; it’s a warning that the current trend is dying. The Logic: It looks for a massive spike in volume combined with an "over-extended" RSI. The Visual: Imagine a car slamming on its brakes at high speed. The tires smoke (Volume Spike), and the car skids (RSI Oversold). The Filter: This prevents you from entering a trade when the market is "boring" or slowly drifting. You only care about the moments of peak panic or peak euphoria. 2. The "Locked & Loaded" Window (The 12-Candle Rule) Once that "Exhaustion" diamond appears, the chart background changes color. The strategy is now hunting for a trade. The Logic: It gives the market exactly 12 candles to prove it can reverse. Why 12? If the market doesn't reverse within 12 candles, the "exhaustion" was just a pause, and the old trend is likely to continue. This rule keeps you out of "dead zones" where the price just goes sideways. 3. The "Trigger" (The Fast Entry) This is where the strategy beats traditional indicators. It doesn't wait for a fancy moving average crossover. The Logic: As soon as a candle closes above the high of the previous candle (for a Long) or below the low (for a Short), it enters. The Goal: It gets you in at the absolute "bend" of the trend. By the time most traders see a trend change, this strategy is already in profit. 4. The "Ride" (The Exit) This strategy is not about "scalping" small profits. It is designed to stay in the trade as long as the trend is healthy. The Exit Rule: It only closes the trade if: Opposite Exhaustion: It sees the same "panic" signal happening on the other side (The Target). Trend Break: The price closes on the wrong side of the 50 EMA (The Safety Net). The Result: This allows you to "Ride the Wave" during massive moon-shots or market crashes, often staying in a single trade for days on the 4H chart. Why It’s "Adaptive" Because it uses standard deviations for volume and previous candle breaks for entry, it behaves correctly whether you are looking at a 15-minute chart (fast day trading) or a Daily chart (long-term investing). It scales its "expectations" based on the timeframe you choose. Summary in one sentence: "We wait for the sellers to get exhausted, wait for the buyers to step in and break one high, and then we hold until the buyers get tired too."
Pine Script® strategy
by Axj_Stev
Configurable EMA Stack StrategyThis strategy uses a configurable exponential moving average (EMA) stack to define directional bias and an EMA cross to manage entries and exits. The script calculates six user-defined EMAs (EMA 1 through EMA 6). Each EMA can be shown or hidden on the chart independently, and each can also be included or excluded from the bias filter. When multiple EMAs are enabled for bias, the script requires them to be strictly aligned in sequence: Bullish bias: shorter enabled EMAs must be above longer enabled EMAs Bearish bias: shorter enabled EMAs must be below longer enabled EMAs Trade execution is driven by the EMA 1 / EMA 2 cross: Long entries occur when bullish bias is active and EMA 1 crosses above EMA 2, or when bullish bias becomes active while EMA 1 is already above EMA 2 Short entries occur when bearish bias is active and EMA 1 crosses below EMA 2, or when bearish bias becomes active while EMA 1 is already below EMA 2 Long exits occur when EMA 1 crosses below EMA 2 Short exits occur when EMA 1 crosses above EMA 2 Default script settings use 0.10% commission and 1 tick of slippage. These are baseline placeholders for testing and should be adjusted to match the instrument, market, and timeframe being evaluated. This is a simple, transparent trend-following baseline designed for testing EMA alignment behavior across different symbols and timeframes. The main configurable element is not a proprietary signal model, but the ability to control which EMAs participate in the bias stack and which EMA plots are visible on the chart. That makes it useful as a flexible template for studying how stricter or looser EMA alignment changes trade frequency and behavior. Default strategy properties currently include commission and slippage. Those settings should be reviewed and adjusted to fit the market being tested. TradingView’s strategy rules require realistic cost assumptions, and if you change the defaults used in the script, the publication description should match the settings shown in your published backtest. Important notes: This is not presented as a complete trading system or a promise of performance Results will vary by symbol, timeframe, market conditions, fees, slippage, and position sizing This script is intended as an educational and analytical baseline that users can test and adapt to their own process
Pine Script® strategy
by E_M_C_S
Improved EMA Trend + ATR Strategy with ArrowsThis strategy is built around a simple idea: strong directional moves often begin after periods of low volatility. Instead of chasing trends late, it waits for price compression and then trades the breakout when expansion begins. The approach combines volatility structure and trend alignment to reduce random entries. Core Concept Markets cycle between quiet phases and expansion phases. When volatility contracts, it often leads to a stronger move once price breaks out of that range. This strategy attempts to capture that transition. How It Works 1. Volatility Compression Detection A squeeze condition is identified when Bollinger Bands contract inside Keltner Channels. This signals reduced volatility. 2. Squeeze Release The strategy waits for volatility to expand again. Trades are only considered when the squeeze ends. 3. Breakout Confirmation Entries occur when price breaks above or below the Bollinger Bands after the squeeze release. 4. Trend Alignment A long-term EMA is used to filter direction: Above EMA → bullish bias Below EMA → bearish bias This helps reduce counter-trend trades. 5. Risk Management Stop-loss and take-profit levels are based on ATR. This allows exits to adapt to current market volatility. A configurable risk-to-reward ratio defines profit targets. Key Features Structured volatility-based entries Trend confirmation filter ATR-based dynamic risk control Commission and slippage included for realistic testing No repainting logic Best Conditions This type of strategy tends to perform better during: Volatility expansion phases Strong directional markets Assets that experience compression before breakouts It may underperform in slow, range-bound environments. Important Notes This strategy is designed for research and backtesting purposes. Performance will vary across different markets and timeframes. Always evaluate across multiple conditions before considering live deployment.
Pine Script® strategy
by AIScripts
TJR BOS (CHOCH) - Real time SwingsThis script displays BOS using TJR-style logic. Unlike traditional BOS indicators, the BOS shown here represents CHOCH (Change of Character). A BOS prints when: • Price closes ABOVE the previous swing high during a downtrend • Price closes BELOW the previous swing low during an uptrend Trend direction is determined using market structure: • Uptrend → Higher Highs + Higher Lows • Downtrend → Lower Highs + Lower Lows The indicator continuously updates swing highs and lows in real time.
Pine Script® indicator
by marcelimac6
Precision Confluence Trading Strategy [JOAT]Precision Confluence Trading Strategy Introduction The Precision Confluence Trading Strategy is an open-source algorithmic trading system that combines Central Pivot Range (CPR) analysis, Hull Moving Average (HMA) ribbon alignment, WaveTrend oscillator signals, multi-oscillator divergence detection, ADX trend strength, volume confirmation, Smart Money Concepts (FVG, Order Blocks, Liquidity Sweeps), and multi-timeframe analysis into a comprehensive confluence-based strategy. This mashup creates an institutional-grade trading system designed to identify high-probability setups where multiple independent analytical frameworks simultaneously signal the same direction. The strategy addresses a fundamental challenge in algorithmic trading: single-factor systems produce too many false signals and lack robustness across different market conditions. By requiring confluence across 9 different analytical components before entering trades, this system significantly reduces false signals and focuses capital on only the highest-quality setups where technical, momentum, volume, and institutional factors all align. Chart showing strategy entries with confluence dashboard on 4H timeframe Why This Mashup Exists This strategy combines nine analytical frameworks that address different aspects of market analysis: CPR Analysis: Identifies key pivot levels where institutional algorithms make decisions HMA Ribbon: Measures trend quality through 5-layer moving average alignment WaveTrend Oscillator: Detects momentum cycles and overbought/oversold conditions Multi-Oscillator Divergence: Identifies momentum exhaustion across RSI, MACD, Stochastic RSI ADX Trend Strength: Quantifies trend strength to avoid weak, choppy markets Volume Confirmation: Validates moves with volume analysis and delta calculations Smart Money Concepts: Tracks institutional footprints (FVG, Order Blocks, Liquidity Sweeps) Multi-Timeframe Analysis: Ensures directional alignment across 15M, 1H, and 4H timeframes Key Moving Averages: Confirms position relative to SMA 50/200 institutional levels Each component addresses a different market dimension: CPR provides static structure, HMA shows trend quality, WaveTrend captures momentum cycles, Divergences warn of exhaustion, ADX measures trend strength, Volume confirms genuine moves, SMC reveals institutional behavior, MTF ensures alignment, and Key MAs provide institutional context. Together, they create a multi-dimensional analysis system that no single indicator can provide. The mashup is justified because these components use fundamentally different data and methodologies (pivot calculations, weighted moving averages, wave oscillators, directional movement, volume analysis, price inefficiencies, multi-timeframe data, simple moving averages) that respond to different market conditions. When they align, it indicates genuine high-probability setup rather than noise from a single analytical method. Core Strategy Logic 1. CPR Analysis Component (0-15 points) Central Pivot Range provides structural reference levels: // Daily and Weekly CPR calculation = calcCPR(dHigh, dLow, dClose) = calcCPR(wHigh, wLow, wClose) // CPR scoring cprBullScore = 0 cprBullScore += close > dPivot and close > wPivot ? 10 : 0 cprBullScore += close > dTC ? 3 : 0 cprBullScore += cprNarrow ? 2 : 0 // Narrow CPR = breakout potential cprBearScore = 0 cprBearScore += close < dPivot and close < wPivot ? 10 : 0 cprBearScore += close < dBC ? 3 : 0 cprBearScore += cprNarrow ? 2 : 0 CPR contribution: Up to 15 points for strong position relative to pivots with narrow CPR indicating breakout potential. 2. HMA Ribbon Alignment Component (0-15 points) 5-layer Hull Moving Average ribbon measures trend quality: // Calculate 5 HMAs hma8 = hullMA(close, 8) hma13 = hullMA(close, 13) hma21 = hullMA(close, 21) hma34 = hullMA(close, 34) hma55 = hullMA(close, 55) // Full alignment check hmaFullBullish = hma8 > hma13 and hma13 > hma21 and hma21 > hma34 and hma34 > hma55 hmaFullBearish = hma8 < hma13 and hma13 < hma21 and hma21 < hma34 and hma34 < hma55 // EMA cloud emaCloudBullish = emaFast > emaSlow // HMA scoring hmaRibbonBullScore = 0 hmaRibbonBullScore += hmaBullish ? 5 : 0 hmaRibbonBullScore += hmaFullBullish ? 7 : 0 // Full alignment = strong trend hmaRibbonBullScore += emaCloudBullish ? 3 : 0 HMA contribution: Up to 15 points for full ribbon alignment with EMA cloud confirmation. 3. WaveTrend Oscillator Component (0-15 points) WaveTrend detects momentum cycles and extreme conditions: = calcWaveTrend(hlc3, wtChannelLen, wtAverageLen) // WaveTrend signals wtCrossUp = ta.crossover(wt1, wt2) wtCrossDown = ta.crossunder(wt1, wt2) wtOversold = wt1 < -60 wtOverbought = wt1 > 60 // WaveTrend scoring wtBullScore = 0 wtBullScore += wtCrossUp and wtOversold ? 8 : wtCrossUp ? 5 : 0 wtBullScore += wtBullDiv ? 5 : 0 // Divergence adds weight wtBullScore += wtMomentumBullish ? 2 : 0 WaveTrend contribution: Up to 15 points for crossover in extreme zone with divergence and momentum confirmation. 4. Multi-Oscillator Divergence Component (0-10 points) Tracks divergences across RSI, MACD, and Stochastic RSI: // Divergence detection rsiBullDiv = price LL and rsi HL wtBullDiv = price LL and wt1 HL strongBullDiv = rsiBullDiv and wtBullDiv // Divergence scoring divBullScore = 0 divBullScore += rsiBullDiv ? 5 : 0 divBullScore += strongBullDiv ? 5 : 0 // Multiple oscillators = stronger signal Divergence contribution: Up to 10 points for multi-oscillator divergence indicating momentum exhaustion. 5. ADX Trend Strength Component (0-10 points) ADX quantifies trend strength to avoid choppy markets: = ta.dmi(adxLength, adxLength) strongTrend = adx > adxThreshold // Default: 20 trendBullish = plus > minus // ADX scoring adxBullScore = strongTrend and trendBullish ? 10 : trendBullish ? 5 : 0 ADX contribution: Up to 10 points for strong trend (ADX > 20) in correct direction. 6. Volume Confirmation Component (0-10 points) Volume analysis validates genuine institutional participation: volMA = ta.sma(volume, volMaLength) highVolume = volume > volMA * 1.5 climaxVolume = volume > volMA * 3.0 // Volume delta volumeDelta = ta.cum(buyVolume) - ta.cum(sellVolume) deltaRising = volumeDelta > volumeDeltaMA // Volume scoring volBullScore = 0 volBullScore += volConfirmedBull ? 7 : bullishVolume ? 5 : 0 volBullScore += climaxVolume and close > open ? 3 : 0 Volume contribution: Up to 10 points for high volume with rising delta confirming institutional buying. 7. Smart Money Concepts Component (0-10 points) SMC tracks institutional order flow patterns: // Fair Value Gaps significantBullFVG = bullishFVG and fvgSize > 0.3% // Order Blocks bullishOB = bearish candles + strong bullish candle + high volume // Liquidity Sweeps volConfirmedSweepLow = sweep below recent low + high volume // Displacement bullishDisplacement = large candle (> 2x ATR) + climax volume // SMC scoring smcBullScore = 0 smcBullScore += significantBullFVG ? 2 : 0 smcBullScore += bullishOB ? 2 : 0 smcBullScore += volConfirmedSweepLow ? 2 : 0 smcBullScore += bullishDisplacement ? 3 : 0 SMC contribution: Up to 10 points for multiple institutional footprints (FVG + OB + Sweep + Displacement). 8. Multi-Timeframe Analysis Component (0-15 points) Ensures directional alignment across higher timeframes: // Request higher timeframe data = request.security(syminfo.tickerid, "15", htfTrend()) = request.security(syminfo.tickerid, "60", htfTrend()) = request.security(syminfo.tickerid, "240", htfTrend()) // Alignment check mtfBullish = htf15mDir == 1 and htf1hDir == 1 and htf4hDir == 1 mtfStrongBullish = mtfBullish and htf15mStrong and htf1hStrong and htf4hStrong // MTF scoring mtfBullScore = 0 mtfBullScore += mtfStrongBullish ? 15 : mtfBullish ? 10 : htf1hDir == 1 ? 5 : 0 MTF contribution: Up to 15 points for all three higher timeframes aligned with strong trends. 9. Key Moving Average Component (0-10 points) Position relative to institutional moving averages: sma50 = ta.sma(close, 50) sma200 = ta.sma(close, 200) goldenCross = sma50 > sma200 // MA scoring maBullScore = 0 maBullScore += close > sma50 ? 3 : 0 maBullScore += close > sma200 ? 4 : 0 maBullScore += goldenCross ? 3 : 0 MA contribution: Up to 10 points for price above key MAs with Golden Cross. Dashboard showing confluence score breakdown by component Total Confluence Scoring System The strategy calculates total confluence score (0-100) by summing all components: bullConfluenceScore = cprBullScore + // 0-15 hmaRibbonBullScore + // 0-15 wtBullScore + // 0-15 divBullScore + // 0-10 adxBullScore + // 0-10 volBullScore + // 0-10 smcBullScore + // 0-10 mtfBullScore + // 0-15 maBullScore // 0-10 // Total: 0-100 Entry signals require: Bullish confluence score >= minConfluenceScore (default: 70) Bearish confluence score < 30 (avoid conflicting signals) Optional session filter (London/NY sessions only) Signal tiers: LONG: Confluence score >= 70 STRONG LONG: Confluence score >= 80 ULTRA LONG: Confluence score >= 90 (rare, highest probability) Risk Management System The strategy implements comprehensive risk controls: 1. ATR-Based Position Sizing atr = ta.atr(14) stopLossDistance = atr * 2 // Calculate position size based on risk accountSize = strategy.equity riskAmount = accountSize * (riskPercent / 100) // Default: 2% positionSize = riskAmount / stopLossDistance 2. Dynamic Stop Loss and Take Profit // Dynamic stop based on market structure dynamicStopBull = math.min(close - stopLossDistance, ta.lowest(low, 10)) // Take profit based on risk:reward ratio takeProfit = close + (stopLossDistance * rewardRatio) // Default: 2:1 3. Breakeven Management // Move stop to breakeven when profit reaches threshold if close >= entryPrice + (stopLossDistance * breakevenTrigger) // Default: 1.0 R:R strategy.exit("Long Exit", "Long", stop=entryPrice, limit=takeProfit) 4. Trailing Stop (Optional) if useTrailingStop trailDistance = close * (trailOffset / 100) // Default: 1.5% strategy.exit("Long Exit", "Long", trail_offset=trailDistance) Strategy Execution Logic // Long Entry if longSignal and strategy.position_size == 0 stopLoss = dynamicStopBull takeProfit = close + (stopLossDistance * rewardRatio) strategy.entry("Long", strategy.long) strategy.exit("Long Exit", "Long", stop=stopLoss, limit=takeProfit) // Label with confluence score label.new(bar_index, low, "LONG Score: " + str.tostring(bullConfluenceScore), style=label.style_label_up, color=entryColor) // Short Entry (mirror logic) if shortSignal and strategy.position_size == 0 // Similar logic for short trades Performance Dashboard The strategy displays a comprehensive 12-row dashboard: Row 1: Component header Row 2: Current position (LONG/SHORT/FLAT) Row 3: Total confluence score (bull/bear) Row 4: CPR component score Row 5: HMA Ribbon component score Row 6: WaveTrend component score Row 7: Divergence component score Row 8: ADX component score Row 9: Volume component score Row 10: SMC component score Row 11: MTF component score Row 12: Equity and P&L percentage Strategy Parameters Strategy Settings: Use Multi-Timeframe Confirmation: Enable MTF analysis (default: enabled) Use Divergence Signals: Enable divergence component (default: enabled) Use Smart Money Concepts: Enable SMC component (default: enabled) Use Volume Confirmation: Enable volume component (default: enabled) Use CPR Levels: Enable CPR component (default: enabled) Use WaveTrend Signals: Enable WaveTrend component (default: enabled) Use HMA Alignment: Enable HMA component (default: enabled) Use Session Filter: Trade only during London/NY sessions (default: enabled) Minimum Confluence Score: Threshold for entry (default: 70, range: 50-100) Risk Management: Risk Per Trade %: Percentage of equity to risk (default: 2.0%, range: 0.1-10%) Reward:Risk Ratio: Take profit multiplier (default: 2.0, range: 1.0-5.0) Use Trailing Stop: Enable trailing stop (default: enabled) Trailing Stop %: Trail distance (default: 1.5%, range: 0.1-5.0%) Use Breakeven: Move stop to breakeven (default: enabled) Breakeven Trigger: R:R threshold to move stop (default: 1.0, range: 0.5-3.0) Indicator Parameters: RSI Length: Period for RSI (default: 14) ADX Length: Period for ADX (default: 14) ADX Threshold: Minimum ADX for strong trend (default: 20) Volume MA Length: Period for volume average (default: 20) HMA Length: Period for HMA (default: 21) WaveTrend Channel Length: (default: 10) WaveTrend Average Length: (default: 21) Backtesting Configuration Default strategy properties: Initial Capital: $10,000 Default Qty Type: Percent of Equity Default Qty Value: 10% Commission Type: Percent Commission Value: 0.1% (10 basis points) Slippage: 2 ticks Max Bars Back: 5000 These settings represent realistic trading conditions for the average trader. Commission and slippage account for typical broker fees and execution costs. How to Use This Strategy Step 1: Configure Components Enable/disable components based on your trading style. All components enabled provides maximum filtering but fewer trades. Step 2: Set Confluence Threshold Adjust minimum confluence score. Higher threshold (80-90) = fewer, higher-quality trades. Lower threshold (60-70) = more frequent trades. Step 3: Configure Risk Parameters Set risk per trade (1-2% recommended) and reward:risk ratio (2:1 minimum recommended). Enable breakeven and trailing stop for protection. Step 4: Backtest Thoroughly Run backtests on multiple timeframes and market conditions. Aim for 100+ trades for statistical significance. Review win rate, profit factor, and drawdown. Step 5: Analyze Component Contribution Use dashboard to see which components contribute most to winning trades. Consider adjusting weights or disabling low-value components. Step 6: Forward Test Paper trade the strategy before risking real capital. Verify that live results align with backtest expectations. Best Practices Use on 15-minute to 4-hour timeframes for optimal signal quality Confluence score above 80 produces highest win rate but fewer trades Enable all components for maximum filtering in volatile markets Disable some components for more frequent trades in trending markets Session filter (London/NY only) significantly improves results Risk 1-2% per trade maximum for sustainable trading Aim for minimum 2:1 reward:risk ratio Review dashboard component scores to understand trade quality Backtest on minimum 6-12 months of data Verify 100+ trades in backtest for statistical validity Strategy Limitations Confluence-based systems produce fewer trades - may not suit active traders Requires all components to align - perfect setups are rare Backtesting results may not reflect live trading with slippage and latency Multi-timeframe analysis can cause repainting on lower timeframes High confluence threshold (90+) may produce too few trades for some markets Commission and slippage significantly impact profitability Strategy optimized for trending markets - may underperform in ranges Past performance does not guarantee future results Requires understanding of all components for effective parameter tuning Complex system with many parameters - over-optimization risk Backtesting Considerations When evaluating backtest results: Sample Size: Minimum 100 trades for statistical significance Win Rate: 40-60% is realistic for 2:1 R:R strategy Profit Factor: Above 1.5 is good, above 2.0 is excellent Max Drawdown: Should be less than 20% of initial capital Sharpe Ratio: Above 1.0 indicates good risk-adjusted returns Trade Frequency: Should match your trading availability Equity Curve: Should show steady growth, not erratic spikes Consecutive Losses: Prepare for 5-10 consecutive losses Adjust parameters if: Win rate < 35% with 2:1 R:R (increase confluence threshold) Too few trades (< 50 in 6 months) (decrease confluence threshold or disable some components) Max drawdown > 25% (reduce risk per trade or increase confluence threshold) Profit factor < 1.2 (strategy may not be viable) Technical Implementation Built with Pine Script v6 using: 9-component confluence scoring system CPR calculations with width analysis 5-layer HMA ribbon with full alignment detection WaveTrend oscillator with divergence tracking Multi-oscillator divergence detection (RSI, MACD, Stoch RSI) ADX trend strength measurement Volume analysis with delta calculations Smart Money Concepts (FVG, OB, Liquidity Sweeps, Displacement) Multi-timeframe analysis (15M, 1H, 4H) ATR-based dynamic position sizing Breakeven and trailing stop management Comprehensive 12-row dashboard Session filtering (London/NY) The code is fully open-source and can be modified to adjust component weights, confluence thresholds, and risk parameters. Originality Statement This strategy is original in its comprehensive multi-component confluence approach. While individual components (CPR, HMA, WaveTrend, Divergences, ADX, Volume, SMC, MTF, Key MAs) are established analytical tools, this mashup is justified because: It integrates 9 independent analytical frameworks using fundamentally different data and methodologies The confluence scoring system quantifies setup quality across all components (0-100 scale) Each component addresses a different market dimension (structure, trend, momentum, strength, volume, institutional flow, timeframe alignment) Tiered signal system (LONG/STRONG/ULTRA) provides graduated confidence levels Comprehensive risk management with ATR-based sizing, breakeven, and trailing stops Component-level dashboard allows traders to understand what drives each trade Session filtering aligns with institutional trading hours Integration reveals complete market picture that no single indicator provides Each component contributes unique information: CPR provides structure, HMA shows trend quality, WaveTrend captures momentum cycles, Divergences warn of exhaustion, ADX measures strength, Volume confirms moves, SMC reveals institutional behavior, MTF ensures alignment, and Key MAs provide institutional context. The strategy's value lies in requiring confluence across these independent frameworks, significantly reducing false signals and focusing capital on only the highest-probability setups where all factors align. Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Backtesting results do not guarantee future performance. Past results, whether real or indicated by historical tests, are not indicative of future results. There are frequently sharp differences between backtested results and actual results subsequently achieved by any trading strategy. The confluence score is a mathematical calculation based on current market data, not a prediction of future price movement. High confluence scores do not ensure profitable trades. Market conditions change, and strategies that worked historically may not work in the future. Commission and slippage settings in backtests may not accurately reflect live trading conditions. Real trading results will vary based on execution quality, market liquidity, broker fees, and other factors not captured in backtesting. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown in backtests. Users should thoroughly test any strategy in a paper trading environment before risking real capital. Always use proper risk management. Never risk more than you can afford to lose. The default 2% risk per trade is a guideline - adjust based on your personal risk tolerance and account size. Consider consulting with a qualified financial advisor before making investment decisions. The author is not responsible for any losses incurred from using this strategy. Users assume full responsibility for all trading decisions made using this tool. -Made with passion by officialjackofalltrades
Pine Script® strategy
by officialjackofalltrades
4
SuperTrend AI Adaptive - Strategy [BTC]+2,091% returns. 1.94 profit factor. 28% max drawdown. Buy and hold returned ~785% over the same period with 75%+ drawdowns. This strategy returned 2,091% with less than a third of the drawdown. Consistent upward equity curve through bull markets, bear markets, and sideways chop. This is the strategy version of SuperTrend AI . Same regime-adaptive engine, same AI scoring, now with full entries, exits, and risk management built in. ◈ How It Works The strategy detects market regime shifts (trending, volatile, ranging) and adapts the SuperTrend multiplier automatically. Every trend flip is scored 0-100 by a 5-factor AI engine. Only high-scoring flips become trade entries. The 5 scoring factors: Volume Surge: was there conviction behind the flip? Displacement: how far did price break through the band? Trend Alignment: does the EMA agree with the direction? Regime Quality: trending regimes score highest, ranging get penalized Band Distance: how far did price travel to reach the flip point? Low-scoring flips are skipped entirely. This is the main edge. Standard SuperTrend enters on every flip. This strategy is selective. ◈ Regime Adaptation TRENDING regime: multiplier stays at base. Normal conditions, normal entries. VOLATILE regime: multiplier widens automatically. Prevents noise-driven entries. Band turns amber on chart. RANGING regime: multiplier tightens slightly. Entries are blocked by default because SuperTrend gets chopped in ranges. The regime filter alone eliminates most of the losing trades that kill standard SuperTrend strategies. ◈ Risk Management Three stop loss modes: ATR-based (default): dynamic stop that adjusts to current volatility Percent: fixed percentage stop SuperTrend: exit only on trend flip Take profit modes: Risk:Reward ratio (default 2.5:1): TP based on SL distance Percent: fixed percentage target None: hold until stop or flip Optional trailing stop for locking in profits on extended trends. All parameters are adjustable. ◈ Why It Beats Buy and Hold Buy and hold works in hindsight. In real time, you sit through 50-75% drawdowns hoping for recovery. This strategy: Shorts during bear markets instead of bleeding. The 2022 and early 2026 bear legs were profitable, not just survivable. Stays flat during ranging markets. No entries when conditions are bad. Compounds gains from both directions. Longs in uptrends, shorts in downtrends. The equity curve tells the story. Consistent staircase up with controlled pullbacks vs the rollercoaster of buy and hold. ◈ Default Settings (optimized for BTCUSDT 4H) SuperTrend: ATR 10, Base Multiplier 3.0 Regime: Lookback 40, ADX 14, Threshold 20 AI Engine: Trend EMA 50, Volume MA 20, Min Score 65 Risk: SL Mode ATR, SL ATR Mult 6.0, TP Mode RR 2.5:1 Filters: EMA Trend Filter on, Skip Ranging on, Volume Filter on, Cooldown 5 Position: 80% of equity per trade Commission: 0.06% (Binance futures level), 2 ticks slippage ◈ Adapting to Other Assets These defaults are tuned for BTCUSDT 4H. For other assets, adjust: Other crypto (ETH, SOL) 4H: Same settings, may need Min Score 60 Forex 1H to 4H: Lower position size to 20-30%, tighten SL to 2.5-3.0 ATR, trend following works less well on forex Indices 1H: SL ATR 3.0-4.0, position size 30-50% SuperTrend strategies work best on assets that trend. Crypto on higher timeframes trends the hardest. ◈ Backtest Notes Period: Jan 2015 to Feb 2026 (10+ years, includes multiple bull and bear cycles) Initial capital: $10,000 USDT Commission: 0.06% per trade (realistic for Binance futures) Slippage: 2 ticks Position sizing: 80% of equity (compounding) No pyramiding. One position at a time. Signals are non-repainting. Entries on confirmed bar close only. Returns are compounded. The 2,091% figure reflects reinvesting profits at 80% equity per trade. Without compounding, the raw edge is captured by the profit factor (1.94) and win rate (46% at 2.5:1 RR). ◈ Key Metrics Total P&L: +2,091% Profit Factor: 1.94 Win Rate: 46.10% (71 of 154 trades) Max Drawdown: 28.16% Average trade count: roughly 15 per year ◈ Features ✓ Regime-adaptive SuperTrend with automatic multiplier adjustment ✓ AI signal scoring filters out low-quality trend flips ✓ Three SL modes (ATR, Percent, SuperTrend flip) ✓ Three TP modes (Risk:Reward, Percent, None) ✓ Optional trailing stop ✓ EMA trend filter, regime filter, volume filter ✓ Realistic commission and slippage included ✓ Dashboard showing trend, regime, position status, and signal score ✓ Non-repainting entries on confirmed bar close ✓ 100% original code ◈ Companion Indicator This strategy is built on the SuperTrend AI indicator. Use the indicator for live chart analysis and the strategy for backtesting and validation. Both available free on my profile. ◈ Disclaimer Past backtest performance does not guarantee future results. All backtests have inherent limitations including look-ahead bias in parameter selection. These settings were optimized on the full sample period. Always forward-test before risking real capital. Use proper position sizing and risk management. This is not financial advice. Happy trading.
Pine Script® strategy
by DefinedEdge
8
Block-Based Visual Logic Builder FrameworkThis strategy demonstrates a modular, block-based approach to strategy design in Pine Script. While TradingView does not support true drag-and-drop strategy builders, this script is structured to simulate a visual logic builder by separating trading logic into independent, configurable blocks. Each block represents a conceptual component (trend, momentum, volatility, session, and risk), allowing users to enable, disable, or modify individual modules for testing and experimentation. Visual Logic Builder Concept The strategy is organized into distinct logic blocks: Session Block - controls when trades are allowed Trend Block - defines directional bias Momentum Block - confirms directional strength Volatility Block - filters for sufficient market movement Risk Block - standardized ATR-based stop and target logic This structure mirrors how visual trading systems and drag-and-drop interfaces organize logic into reusable components. How It Works Market conditions are evaluated through separate logic blocks. Each block can be enabled or disabled using inputs. Final entry decisions are based on the combined output of active blocks. All exits are managed through a centralized risk block using ATR-based stops and fixed risk-reward. Purpose This script is intended as a structural template for building and testing modular trading systems. It emphasizes clarity, execution realism, and repeatable logic rather than optimization or signal density. Usage Notes Results depend on symbol, timeframe, volatility regime, and selected block settings. Users are encouraged to experiment with different combinations of blocks and validate behavior across multiple markets before relying on any configuration.
Pine Script® strategy
by AIScripts
Modular Trend Pullback StrategyThis strategy focuses on trading pullbacks within established trends. Instead of entering immediately when a trend forms, it waits for a temporary retracement and then looks for confirmation before placing a trade. The goal is to improve entry timing while keeping risk controlled. Core Idea Markets often move in waves. During a strong trend, price tends to retrace toward a short-term average before continuing in the dominant direction. This script attempts to participate in those continuation moves. How It Works 1. Trend Identification Two exponential moving averages (EMAs) define direction. Fast EMA above Slow EMA → bullish environment Fast EMA below Slow EMA → bearish environment 2. Pullback Condition In an uptrend, price must retrace below the fast EMA. In a downtrend, price must retrace above the fast EMA. This avoids chasing extended moves. 3. Break Confirmation After a pullback, the strategy waits for price to break the previous candle’s high (for longs) or low (for shorts). This acts as confirmation that momentum is returning in the direction of the trend. 4. Risk Management Stop-loss and take-profit levels are based on ATR (Average True Range), allowing exits to adapt to current volatility. A configurable risk-reward ratio defines profit targets. Key Features Non-repainting logic Entries only when flat (no stacking positions) ATR-based dynamic stop and target levels Commission and slippage included for more realistic backtests Structured, modular logic for easier testing and adjustment Suitable Market Conditions This type of approach generally performs best in: Trending environments Instruments with sustained directional movement Timeframes where pullbacks are clearly visible It may underperform in sideways or low-volatility markets. Notes This script is intended for research and testing purposes. Results will vary depending on symbol, timeframe, and market regime. Always evaluate performance across multiple market conditions before considering live execution.
Pine Script® strategy
by AIScripts
VWAP Reversal Strategy V1🔹 VWAP Reversal Strategy V1 by COT-Trader.com The VWAP Reversal Strategy V1 is a selective intraday framework designed to capture structured pullbacks to VWAP after a confirmed breakout. It focuses on quality over frequency and integrates volatility, confirmation and optional higher timeframe bias filtering. This strategy is part of the systematic trading research published at 👉 cot-trader.com 📌 Core Concept Markets frequently break above or below VWAP (fair value), only to retest it before continuation. This strategy trades that sequence: Long Setup Price breaks above VWAP A retest of VWAP occurs within a defined number of bars A bullish confirmation candle forms Optional filters align Entry at confirmation Short Setup Mirrored logic below VWAP (can be disabled). 📊 Built-In Filters To increase selectivity, the following filters can be enabled: • Rejection wick confirmation • Volume spike confirmation • Minimum ATR-based distance from VWAP • Optional H1 VWAP directional bias All filters are configurable. ⚙ Risk Management The strategy uses: • ATR-based Stop Loss • ATR-based Take Profit • Maximum trades per day limit • Optional session filter The goal is consistency and controlled exposure rather than high trade frequency. 🧠 Intended Use Designed for intraday timeframes (typically 15–30 minutes). Works best in structured, liquid markets. Extensive debug markers can be enabled for research purposes. ⚠ Disclaimer This script is published for educational and research purposes only. It does not constitute financial advice. Always test strategies in simulation before using real capital.
Pine Script® strategy
by DerAndi72
2
Grid Bot Demonstrator🚀 Grid Bot Demonstrator Overview The Grid Bot Demonstrator is a high-performance visualization tool designed for traders utilizing Grid Trading strategies (similar to Pionex, Binance, or KuCoin). It allows you to simulate and visualize a grid bot's structure directly on your chart, enabling precise planning of ranges and grid density before deploying capital. 🛠 Key Features Dynamic Auto-Range: When limits are set to 0, the indicator automatically calculates an optimal range (±10% from current price) rounded to the nearest $10,000—ideal for Bitcoin’s psychological levels. Dual Mode Support: Seamlessly toggle between Long and Short strategies via a simple dropdown menu. Intelligent Grid Coloring: Long Mode: Green lines above price (Take Profit), Red lines below (Buy/Support). Short Mode: Red lines above price (Entry/Stop), Green lines below (Take Profit). Performance Optimized (Smart Window): Even with up to 500 grids , the chart remains fluid. The script renders only the 100 lines closest to the current price while maintaining perfect mathematical accuracy of the total grid count. Boundary Protection: Features bold, distinct safety lines for the Upper and Lower limits so you know exactly when your bot leaves the active trading zone. 📖 How to Use 1. Grid Settings Enter your Upper and Lower price limits. Use "0" for the automated 10k-rounding logic. 2. Grid Count Set the number of grids (up to 500) to match your bot's specific configuration. 3. Strategy Mode Select "Long" or "Short" to instantly adapt the color coding to your trade direction. 4. Scalability Works across all timeframes, from 1-minute scalping to daily charts. 🔬 Technical Specifications Grid Type: Arithmetic (Equal USD distance between levels). Engine: Pine Script V5 with max_lines_count optimization. Clarity: Focuses on visual price levels to provide a clean, distraction-free trading environment.
Pine Script® indicator
by AlexTrading2022
Game Theory Strategic Indicator - Archery & Horse Riding Model# Game Theory Strategic Indicator - Archery & Horse Riding Model ## Overview This indicator applies rigorous game theory mathematics to market analysis, modeling price action as a strategic two-player game between buyers and sellers. The methodology draws from economic game theory, evolutionary dynamics, and zero-sum game optimization. ## Theoretical Foundation The indicator implements five core game theory concepts: **1. Expected Utility (Mixed Strategies)** Calculates E = p×U₁ + (1-p)×U₂ where: - p = probability distribution based on volume dynamics - U₁, U₂ = utility payoffs for aggressive vs defensive strategies - Uses RSI momentum and ATR volatility to quantify payoffs **2. Nash Equilibrium Detection** Identifies market states where ui(σᵢ*, σ₋ᵢ*) ≥ ui(σᵢ, σ₋ᵢ*): - Measures when no participant can improve by changing strategy - Highlighted with yellow background zones - Signals reduced edge environments (avoid trading) **3. Replicator Dynamics** Models evolutionary strategy adaptation: dx/dt = x(f(x) - φ(x)) - Tracks frequency changes in bullish vs bearish strategies - Shows which approach is gaining evolutionary fitness - Purple line indicates strategy evolution trend **4. Minimax Algorithm** Implements zero-sum game optimal strategy L(x,y): - Calculates win/loss ratio over lookback period - Values > 1.0 suggest favorable risk/reward - Orange line shows deviation from neutral state **5. Best Response Function** Determines optimal action maximizing ui(aᵢ, a₋ᵢ): - Compares buyer vs seller expected utilities - Generates primary long/short signals - Confidence weighted by utility differential ## Visual Elements **Chart Plots:** - **Blue Line (Utility Differential)**: Buyer utility minus seller utility. Positive favors longs, negative favors shorts - **Purple Line (Replicator Dynamics)**: Rate of strategy evolution. Rising = bullish strategies gaining fitness - **Orange Line (Minimax Deviation)**: Zero-sum game value. Above zero = favorable conditions - **Pink Area (Mixed Strategy Bias)**: Probability-weighted strategy preference - **Yellow Background**: Nash equilibrium zones where no player has edge **Signals:** - **Green Triangle Up**: Long signal - buyer utility dominates outside equilibrium - **Red Triangle Down**: Short signal - seller utility dominates outside equilibrium - **Yellow Diamond**: Equilibrium warning - reduced edge state **Info Table (Top Right):** - EU Buyer/Seller: Current expected utilities - Nash Score: Equilibrium strength (>0.65 = equilibrium) - Mix Prob: Volume-based probability distribution - Minimax: Win/loss ratio indicator ## Strategy Metaphors **Archery (Buyer Strategy)**: Represents precision attacks - targeted entries at optimal risk/reward points, high accuracy required **Horse Riding (Seller Strategy)**: Represents mobile defense - flexible positioning, quick exits, adaptive to changing terrain ## Parameters - **Strategy Period (14)**: Lookback for RSI and ATR calculations - **Mixed Strategy Length (21)**: Period for minimax win/loss analysis - **Nash Equilibrium Threshold (0.65)**: Minimum score to identify equilibrium (0.5-0.9) - **Show Trade Signals**: Toggle buy/sell arrows - **Show Equilibrium Zones**: Toggle background highlighting ## How to Use 1. **Trend Trading**: Take long signals when utility differential (blue) is rising and no equilibrium zone present 2. **Counter-Trend**: Take signals when replicator dynamics (purple) diverges from price 3. **Risk Management**: Avoid trading during yellow equilibrium zones - market has no clear edge 4. **Confirmation**: Best signals occur when minimax > 1.0 and best response aligns with utility differential 5. **Monitoring**: Watch info table for real-time utility balance and equilibrium status ## Alerts Three alert conditions available: - **GT Long Signal**: Buyer utility dominates, composite score > 0.5 - **GT Short Signal**: Seller utility dominates, composite score < -0.5 - **Nash Equilibrium**: Market reaches balanced state, avoid new entries ## Mathematical Rigor All calculations use proper game theory formulations: - Payoff functions normalized by volatility - Probability distributions bounded - Zero-division protection implemented - Utilities properly weighted in composite score ## Originality Statement This indicator is original work implementing classical game theory mathematics in a novel market analysis framework. The code, calculations, and interpretation methodology are entirely my own creation. No external scripts were copied or modified. ## Disclaimer This indicator is for educational purposes. Game theory provides a framework for analyzing strategic interaction but does not guarantee profitable trading. Always use proper risk management, test thoroughly, and understand that past performance does not indicate future results. --- **Educational Resource**: For deeper understanding of game theory in economics, see Nash (1950) "Equilibrium Points in N-Person Games" and Maynard Smith (1982) "Evolution and the Theory of Games" ``` ---
Pine Script® indicator
by uzair2join
TRADING BITE Supply Demand Marker V2.1This Indicator Automatically identifies key supply and demand candles and highlights potential reversal zones. Integrated volume analysis validates market moves, helping traders make more informed entry and exit decisions. Perfect for spotting high-probability trades and understanding market structure at a glance. Features: Highlights Supply & Demand zones automatically Marks key reversal candles Volume-based validation for stronger signals Easy-to-read visual alerts for trading decisions Disclaimer / No Liability Notice: This indicator is provided for educational and informational purposes only. It does not guarantee profits or predict future market movements. Trading financial instruments involves substantial risk of loss, and you should only trade with money you can afford to lose. By using this indicator, you acknowledge that you assume full responsibility for any trading decisions made based on its signals. The developer accepts no liability for any losses, damages, or financial consequences that may result from using this tool. Always perform your own analysis and consider consulting a licensed financial advisor before making trading decisions. Past performance is not indicative of future results.
Pine Script® indicator
by Trading_bite
March-May Oct-Dec bank stocks strategyIn the Indian market, banking stocks have some sort of cyclic nature. If you buy at the start of March and sell at the start of May and then buy at the start of Oct and sell at the start of December, you can make gains close to to "buy and hold", while being invested only for 4 months out of 12. This seems to backtest well for post 2021 on all Bank stocks I tested, including BANKNIFTY as well Caveat: Not calculating STCG and other expenses caused by selling and buying 2 times every year.
Pine Script® strategy
by rep_movsd
1