Get started

Search in scripts for "profit"

Mirror Blocks: StrategyMirror Blocks is an educational structural-wave model built around a unique concept: the interaction of mirrored weighted moving averages (“blocks”) that reflect shifts in market structure as price transitions between layered symmetry zones. Rather than attempting to “predict” markets, the Mirror Blocks framework visualizes how price behaves when it expands away from, contracts toward, or flips across stacked WMA structures. These mirrored layers form a wave-like block system that highlights transitional zones in a clean, mechanical way. This strategy version allows you to study how these structural transitions behave in different environments and on different timeframes. The goal is understanding wave structure, not generating signals. How It Works Mirror Blocks builds three mirrored layers: Top Block (Structural High Symmetry) Base Block (Neutral Wave) Bottom Block (Structural Low Symmetry) The relative position of these blocks — and how price interacts with them — helps visualize: Compression and expansion Reversal zones Wave stability Momentum transitions Structure flips A structure is considered bullish-stack aligned when: Top > Base > Bottom and bearish-stack aligned when: Bottom > Base > Top These formations create the core of the Mirror Blocks wave engine. What the Strategy Version Adds This version includes: Long Only, Short Only, or Long & Short modes Adjustable symmetry distance (Mirror Distance) Configurable WMA smoothing length Optional trend filter using fast/slow MA comparison ENTER / EXIT / LONG / SHORT labels for structural transitions Fixed stop-loss controls for research A clean, transparent structure with no hidden components It is optimized for educational chart study, not automated signals. Intended Purpose Mirror Blocks is meant to help traders: Study structural transitions Understand symmetry-based wave models Explore how price interacts with mirrored layers Examine reversals and expansions from a mechanical perspective Conduct long and short backtesting for research Develop a deeper sense of market rhythm This is not a prediction model. It is a visual and structural framework for understanding movement. Backtesting Disclaimer Backtest results can vary depending on: Slippage settings Commission settings Timeframe Asset volatility Structural sensitivity parameters Past performance does not guarantee future results. Use this as a research tool only. Warnings & Compliance This script is educational. It is not financial advice. It does not provide signals. It does not promise profitability. The purpose is to help visualize structure, not predict price. The strategy features are simply here to help users study how structural transitions behave under various conditions. License Released under the Michael Culpepper Gratitude License (2025). Use and modify freely for education and research with attribution. No resale. No promises of profitability. Purpose is understanding, not signals.
Pine Script® strategy
by mikeyc747
Hash Momentum Strategy# Hash Momentum Strategy ## 📊 Overview The **Hash Momentum Strategy** is a professional-grade momentum trading system designed to capture strong directional price movements with precision timing and intelligent risk management. Unlike traditional EMA crossover strategies, this system uses momentum acceleration as its primary signal, resulting in earlier entries and better risk-to-reward ratios. --- ## ⚡ What Makes This Strategy Unique ### 1. Momentum-Based Entry System Most strategies rely on lagging indicators like moving average crossovers. This strategy captures momentum *acceleration* - entering when price movement is gaining strength, not after the move has already happened. ### 2. Programmable Risk-to-Reward Set your exact R:R ratio (1:2, 1:2.5, 1:3, etc.) and the strategy automatically calculates stop loss and take profit levels. No more guessing or manual calculations. ### 3. Smart Partial Profit Taking Lock in profits at multiple stages: - **First TP**: Take 50% off at 2R - **Second TP**: Take 40% off at 2.5R - **Final TP**: Let 10% ride to maximum target This approach locks in gains while letting winners run. ### 4. Dynamic Momentum Threshold Uses ATR (Average True Range) multiplied by your threshold setting to adapt to market volatility. Volatile markets = higher threshold. Quiet markets = lower threshold. ### 5. Trade Cooldown System Prevents overtrading and revenge trading by enforcing a cooldown period between trades. Configurable from 1-24 bars. ### 6. Optional Session & Weekend Filters Filter trades by Tokyo, London, and New York sessions. Optional weekend-off toggle to avoid low-liquidity periods. --- ## 🎯 How It Works ### Signal Generation **STEP 1: Calculate Momentum** - Momentum = Current Price - Price - Check if Momentum > ATR × Threshold Multiplier - Momentum must be accelerating (positive change in momentum) **STEP 2: Confirm with EMA Trend Filter** - Long: Price must be above EMA - Short: Price must be below EMA **STEP 3: Check Filters** - Not in cooldown period - Valid session (if enabled) - Not weekend (if enabled) **STEP 4: ENTRY SIGNAL TRIGGERED** ### Risk Management Example **Example Long Trade:** - Entry: $100 - Stop Loss: $97.80 (2.2% risk) - Risk Amount: $2.20 **Take Profit Levels:** - TP1: $104.40 (2R = $4.40) → Close 50% - TP2: $105.50 (2.5R = $5.50) → Close 40% - Final: $105.50 (2.5R) → Close remaining 10% --- ## ⚙️ Settings Guide ### Core Strategy **Momentum Length** (Default: 13) Number of bars for momentum calculation. Higher = stronger but fewer signals. **Momentum Threshold** (Default: 2.25) ATR multiplier. Higher = only trade biggest moves. **Use EMA Trend Filter** (Default: ON) Only long above EMA, short below EMA. **EMA Length** (Default: 28) Period for trend-confirming EMA. ### Filters **Use Trading Session Filter** (Default: OFF) Restrict trading to specific sessions. **Tokyo Session** (Default: OFF) Trade during Asian hours (00:00-09:00 JST). **London Session** (Default: OFF) Trade during European hours (08:00-17:00 GMT). **New York Session** (Default: OFF) Trade during US hours (08:00-17:00 EST). **Weekend Off** (Default: OFF) Disable trading on Saturdays and Sundays. ### Risk Management **Stop Loss %** (Default: 2.2) Fixed percentage stop loss from entry. **Risk:Reward Ratio** (Default: 2.5) Your target reward as multiple of risk. **Use Partial Profit Taking** (Default: ON) Take profits in stages. **First TP R:R** (Default: 2.0) First target as multiple of risk. **First TP Size %** (Default: 50) Percentage of position to close at TP1. **Second TP R:R** (Default: 2.5) Second target as multiple of risk. **Second TP Size %** (Default: 40) Percentage of position to close at TP2. ### Trade Management **Use Trade Cooldown** (Default: ON) Prevent overtrading. **Cooldown Bars** (Default: 6) Bars to wait after closing a trade. --- ## 🎨 Visual Elements ### Chart Indicators 🟢 **Green Dot** (below bar) = Long entry signal 🔴 **Red Dot** (above bar) = Short entry signal 🔵 **Blue X** (above bar) = Long position closed 🟠 **Orange X** (below bar) = Short position closed **EMA Line** = Trend direction (green when bullish, red when bearish) **White Line** = Entry price **Red Line** = Stop loss level **Green Lines** = Take profit levels (TP1, TP2, Final) ### Dashboard When not in real-time mode, a dashboard displays: - Current position (LONG/SHORT/FLAT) - Entry price - Stop loss price - Take profit price - R:R ratio - Current momentum strength - Total trades - Win rate - Net profit % --- ## 📈 Recommended Settings by Timeframe ### 1-Hour Timeframe (Default) - Momentum Length: 13 - Momentum Threshold: 2.25 - EMA Length: 28 - Stop Loss: 2.2% - R:R Ratio: 2.5 - Cooldown: 6 bars ### 4-Hour Timeframe - Momentum Length: 24-36 - Momentum Threshold: 2.5 - EMA Length: 50 - Stop Loss: 3-4% - R:R Ratio: 2.0-2.5 - Cooldown: 6-8 bars ### 15-Minute Timeframe - Momentum Length: 8-10 - Momentum Threshold: 2.0 - EMA Length: 20 - Stop Loss: 1.5-2% - R:R Ratio: 2.0 - Cooldown: 4-6 bars --- ## 🔧 Optimization Tips ### Want More Trades? - Decrease Momentum Threshold (2.0 instead of 2.25) - Decrease Momentum Length (10 instead of 13) - Decrease Cooldown Bars (4 instead of 6) ### Want Higher Quality Trades? - Increase Momentum Threshold (2.5-3.0) - Increase Momentum Length (18-24) - Increase Cooldown Bars (8-10) ### Want Lower Drawdown? - Increase Cooldown Bars - Use tighter stop loss - Enable session filters (trade only high-liquidity sessions) - Enable Weekend Off ### Want Higher Win Rate? - Increase R:R Ratio (may reduce total profit) - Increase Momentum Threshold (fewer but stronger signals) - Use longer EMA for trend confirmation --- ## 📊 Performance Expectations Based on typical backtesting results: - **Win Rate**: 35-45% - **Profit Factor**: 1.5-2.0 - **Risk:Reward**: 1:2.5 (configurable) - **Max Drawdown**: 10-20% - **Trades/Month**: 8-15 (1H timeframe) **Note:** Win rate may appear low, but with 2.5:1 R:R, you only need ~29% win rate to break even. The strategy aims for quality over quantity. --- ## 🎓 Strategy Logic Explained ### Why Momentum > EMA Crossover? **EMA Crossover Problems:** - Signals lag behind price - Late entries = poor R:R - Many false signals in ranging markets **Momentum Advantages:** - Catches moves as they start accelerating - Earlier entries = better R:R - Adapts to volatility via ATR ### Why Partial Profit Taking? **Without Partial TPs:** - All-or-nothing approach - Winners often turn to losers - High stress watching open positions **With Partial TPs:** - Lock in 50% at first target - Reduce risk to breakeven - Let remainder ride for bigger gains - Lower psychological pressure ### Why Trade Cooldown? **Without Cooldown:** - Revenge trading after losses - Overtrading in choppy markets - Emotional decision-making **With Cooldown:** - Forces discipline - Waits for new setup to develop - Reduces transaction costs - Better signal quality --- ## ⚠️ Important Notes 1. **This is a momentum strategy, not an EMA strategy** The EMA only confirms trend direction. Momentum generates the actual signals. 2. **Backtest thoroughly before live trading** Past performance ≠ future results. Test on your specific asset and timeframe. 3. **Use proper position sizing** Risk 1-2% of account per trade maximum. The strategy uses 100% equity by default (adjust in Properties). 4. **Dashboard auto-hides in real-time** Clean chart for live trading. Visible during backtesting. 5. **Customize for your trading style** All settings are fully adjustable. No single "best" configuration. --- ## 🚀 Quick Start Guide 1. **Add to Chart**: Apply to your preferred asset and timeframe 2. **Keep Defaults**: Start with default settings 3. **Backtest**: Review historical performance 4. **Paper Trade**: Test with simulated money first 5. **Go Live**: Start small and scale up --- ## 💡 Pro Tips **Tip 1: Combine Timeframes** Use higher timeframe (4H) for trend direction, lower timeframe (1H) for entries. **Tip 2: Avoid News Events** Major news can cause whipsaws. Consider manual intervention during high-impact events. **Tip 3: Monitor Momentum Strength** Dashboard shows momentum in sigma (σ). Values >1.0σ indicate very strong momentum. **Tip 4: Adjust for Volatility** In high-volatility markets, increase threshold and stop loss. In quiet markets, decrease them. **Tip 5: Review Losing Trades** Check if losses are hitting stop loss or reversing. Adjust stop accordingly. --- ## 📝 Changelog **v1.0** - Initial Release - Momentum-based signal generation - EMA trend filter - Programmable R:R ratio - Partial profit taking (3 stages) - Trade cooldown system - Session filters (Tokyo/London/New York) - Weekend off toggle - Smart dashboard (auto-hides in real-time) - Clean visual design --- ## 🙏 Credits Developed by **Hash Capital Research** If you find this strategy useful, please give it a like and share with others! --- ## ⚖️ Disclaimer This strategy is for educational purposes only. Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Always do your own research and consult with a qualified financial advisor before trading. --- ## 📬 Feedback Have suggestions or found a bug? Leave a comment below! I'm continuously improving this strategy based on community feedback. --- **Happy Trading! 🚀📈**
Pine Script® strategy
by Hash_Capital
Swing Point PnL PressureThis indicator visualizes the cumulative profit potential of bulls and bears based on recent swing highs and lows — offering a unique lens into trend maturity, sentiment imbalance, and exhaustion risk. 🟢 Bull PnL rises as price moves above prior swing lows — reflecting unrealized gains for long positions 🔴 Bear PnL rises as price drops below prior swing highs — capturing short-side profitability Over time, these curves diverge during strong trends, revealing which side is in control. But when they converge, it often signals that the dominant side is losing steam — a potential turning point where profit-taking, traps, or reversals may emerge. This tool doesn’t predict tops or bottoms — it tracks the emotional and financial pressure building on each side of the market. Use it to: Spot trend exhaustion before price confirms it Identify profit parity zones where sentiment may flip Time accumulation or distribution phases with greater confidence Whether you’re swing trading or analyzing macro structure, this indicator helps you see what price alone can’t: who’s winning, who’s trapped, and who’s about to give up.
Pine Script® indicator
by slopip
Quantum Market Analyzer X7Quantum Market Analyzer X7 - Complete Study Guide Table of Contents 1. Overview 2. Indicator Components 3. Signal Interpretation 4. Live Market Analysis Guide 5. Best Practices 6. Limitations and Considerations 7. Risk Disclaimer ________________________________________ Overview The Quantum Market Analyzer X7 is a comprehensive multi-timeframe technical analysis indicator that combines traditional and modern analytical methods. It aggregates signals from multiple technical indicators across seven key analysis categories to provide traders with a consolidated view of market sentiment and potential trading opportunities. Key Features: • Multi-Indicator Analysis: Combines 20+ technical indicators • Real-Time Dashboard: Professional interface with customizable display • Signal Aggregation: Weighted scoring system for overall market sentiment • Advanced Analytics: Includes Order Block detection, Supertrend, and Volume analysis • Visual Progress Indicators: Easy-to-read progress bars for signal strength ________________________________________ Indicator Components 1. Oscillators Section Purpose: Identifies overbought/oversold conditions and momentum changes Included Indicators: • RSI (14): Relative Strength Index - momentum oscillator • Stochastic (14): Compares closing price to price range • CCI (20): Commodity Channel Index - cycle identification • Williams %R (14): Momentum indicator similar to Stochastic • MACD (12,26,9): Moving Average Convergence Divergence • Momentum (10): Rate of price change • ROC (9): Rate of Change • Bollinger Bands (20,2): Volatility-based indicator Signal Interpretation: • Strong Buy (6+ points): Multiple oscillators indicate oversold conditions • Buy (2-5 points): Moderate bullish momentum • Neutral (-1 to 1 points): Balanced conditions • Sell (-2 to -5 points): Moderate bearish momentum • Strong Sell (-6+ points): Multiple oscillators indicate overbought conditions 2. Moving Averages Section Purpose: Determines trend direction and strength Included Indicators: • SMA: 10, 20, 50, 100, 200 periods • EMA: 10, 20, 50 periods Signal Logic: • Price >2% above MA = Strong Buy (+2) • Price above MA = Buy (+1) • Price below MA = Sell (-1) • Price >2% below MA = Strong Sell (-2) Signal Interpretation: • Strong Buy (6+ points): Price well above multiple MAs, strong uptrend • Buy (2-5 points): Price above most MAs, bullish trend • Neutral (-1 to 1 points): Mixed MA signals, consolidation • Sell (-2 to -5 points): Price below most MAs, bearish trend • Strong Sell (-6+ points): Price well below multiple MAs, strong downtrend 3. Order Block Analysis Purpose: Identifies institutional support/resistance levels and breakouts How It Works: • Detects historical levels where large orders were placed • Monitors price behavior around these levels • Identifies breakouts from established order blocks Signal Types: • BULLISH BRK (+2): Breakout above resistance order block • BEARISH BRK (-2): Breakdown below support order block • ABOVE SUP (+1): Price holding above support • BELOW RES (-1): Price rejected at resistance • NEUTRAL (0): No significant order block interaction 4. Supertrend Analysis Purpose: Trend following indicator based on Average True Range Parameters: • ATR Period: 10 (default) • ATR Multiplier: 6.0 (default) Signal Types: • BULLISH (+2): Price above Supertrend line • BEARISH (-2): Price below Supertrend line • NEUTRAL (0): Transition period 5. Trendline/Channel Analysis Purpose: Identifies trend channels and breakout patterns Components: • Dynamic trendline calculation using pivot points • Channel width based on historical volatility • Breakout detection algorithm Signal Types: • UPPER BRK (+2): Breakout above upper channel • LOWER BRK (-2): Breakdown below lower channel • ABOVE MID (+1): Price above channel midline • BELOW MID (-1): Price below channel midline 6. Volume Analysis Purpose: Confirms price movements with volume data Components: • Volume spikes detection • On Balance Volume (OBV) • Volume Price Trend (VPT) • Money Flow Index (MFI) • Accumulation/Distribution Line Signal Calculation: Multiple volume indicators are combined to determine institutional activity and confirm price movements. ________________________________________ Signal Interpretation Overall Summary Signals The indicator aggregates all component signals into an overall market sentiment: Signal Score Range Interpretation Action STRONG BUY 10+ Overwhelming bullish consensus Consider long positions BUY 4-9 Moderate to strong bullish bias Look for long opportunities NEUTRAL -3 to 3 Mixed signals, consolidation Wait for clearer direction SELL -4 to -9 Moderate to strong bearish bias Look for short opportunities STRONG SELL -10+ Overwhelming bearish consensus Consider short positions Progress Bar Interpretation • Filled bars indicate signal strength • Green bars: Bullish signals • Red bars: Bearish signals • More filled bars = stronger conviction ________________________________________ Live Market Analysis Guide Step 1: Initial Assessment 1. Check Overall Summary: Start with the main signal 2. Verify with Component Analysis: Ensure signals align 3. Look for Divergences: Identify conflicting signals Step 2: Timeframe Analysis 1. Set Appropriate Timeframe: Use 1H for intraday, 4H/1D for swing trading 2. Multi-Timeframe Confirmation: Check higher timeframes for trend context 3. Entry Timing: Use lower timeframes for precise entry points Step 3: Signal Confirmation Process. For Buy Signals: 1. Oscillators: Look for oversold conditions (RSI <30, Stoch <20) 2. Moving Averages: Price should be above key MAs 3. Order Blocks: Confirm bounce from support levels 4. Volume: Check for accumulation patterns 5. Supertrend: Ensure bullish trend alignment. For Sell Signals: 1. Oscillators: Look for overbought conditions (RSI >70, Stoch >80) 2. Moving Averages: Price should be below key MAs 3. Order Blocks: Confirm rejection at resistance levels 4. Volume: Check for distribution patterns 5. Supertrend: Ensure bearish trend alignment. Step 4: Risk Management Integration 1. Signal Strength Assessment: Stronger signals = larger position size 2. Stop Loss Placement: Use Order Block levels for stops 3. Take Profit Targets: Based on channel analysis and resistance levels 4. Position Sizing: Adjust based on signal confidence ________________________________________ Best Practices Entry Strategies 1. High Conviction Entries: Wait for STRONG BUY/SELL signals 2. Confluence Trading: Look for multiple components aligning 3. Breakout Trading: Use Order Block and Trendline breakouts 4. Trend Following: Align with Supertrend direction. Risk Management 1. Never Risk More Than 2% Per Trade: Regardless of signal strength 2. Use Stop Losses: Place at invalidation levels 3. Scale Positions: Stronger signals warrant larger (but still controlled) positions 4. Diversification: Don't rely solely on one indicator. Market Conditions 1. Trending Markets: Focus on Supertrend and MA signals 2. Range-Bound Markets: Emphasize Oscillator and Order Block signals 3. High Volatility: Reduce position sizes, widen stops 4. Low Volume: Be cautious of breakout signals. Common Mistakes to Avoid 1. Signal Chasing: Don't enter after signals have already moved significantly 2. Ignoring Context: Consider overall market conditions 3. Overtrading: Wait for high-quality setups 4. Poor Risk Management: Always use appropriate position sizing ________________________________________ Limitations and Considerations Technical Limitations 1. Lagging Nature: All technical indicators are based on historical data 2. False Signals: No indicator is 100% accurate 3. Market Regime Changes: Indicators may perform differently in various market conditions 4. Whipsaws: Possible in choppy, sideways markets. Optimal Use Cases 1. Trending Markets: Performs best in clear trending environments 2. Medium to High Volatility: Requires sufficient price movement for signals 3. Liquid Markets: Works best with adequate volume and tight spreads 4. Multiple Timeframe Analysis: Most effective when used across different timeframes. When to Use Caution 1. Major News Events: Fundamental analysis may override technical signals 2. Market Opens/Closes: Higher volatility can create false signals 3. Low Volume Periods: Signals may be less reliable 4. Holiday Trading: Reduced participation affects signal quality ________________________________________ Risk Disclaimer IMPORTANT LEGAL DISCLAIMER FROM aiTrendview WARNING: TRADING INVOLVES SUBSTANTIAL RISK OF LOSS This Quantum Market Analyzer X7 indicator ("the Indicator") is provided for educational and informational purposes only. By using this indicator, you acknowledge and agree to the following terms: No Investment Advice • The Indicator does NOT constitute investment advice, financial advice, or trading recommendations • All signals generated are based on historical price data and mathematical calculations • Past performance does not guarantee future results • No representation is made that any account will achieve profits or losses similar to those shown. Risk Acknowledgment • TRADING CARRIES SUBSTANTIAL RISK: You may lose some or all of your invested capital • LEVERAGE AMPLIFIES RISK: Margin trading can result in losses exceeding your initial investment • MARKET VOLATILITY: Financial markets are inherently unpredictable and volatile • TECHNICAL ANALYSIS LIMITATIONS: No technical indicator is infallible or guarantees profitable trades. User Responsibility • YOU ARE SOLELY RESPONSIBLE for all trading decisions and their consequences • CONDUCT YOUR OWN RESEARCH: Always perform independent analysis before making trading decisions • CONSULT PROFESSIONALS: Seek advice from qualified financial advisors • RISK MANAGEMENT: Implement appropriate risk management strategies No Warranties • The Indicator is provided "AS IS" without warranties of any kind • aiTrendview makes no representations about the accuracy, reliability, or suitability of the Indicator • Technical glitches, data feed issues, or calculation errors may occur • The Indicator may not work as expected in all market conditions. Limitation of Liability • aiTrendview SHALL NOT BE LIABLE for any direct, indirect, incidental, or consequential damages • This includes but is not limited to: trading losses, missed opportunities, data inaccuracies, or system failures • MAXIMUM LIABILITY is limited to the amount paid for the indicator (if any) Code Usage and Distribution • This indicator is published on TradingView in accordance with TradingView's house rules • UNAUTHORIZED MODIFICATION or redistribution of this code is prohibited • Users may not claim ownership of this intellectual property • Commercial use requires explicit written permission from aiTrendview. Compliance and Regulations • VERIFY LOCAL REGULATIONS: Ensure compliance with your jurisdiction's trading laws • Some trading strategies may not be suitable for all investors • Tax implications of trading are your responsibility • Report trading activities as required by law Specific Risk Factors 1. False Signals: The Indicator may generate incorrect buy/sell signals 2. Market Gaps: Overnight gaps can invalidate technical analysis 3. Fundamental Events: News and economic data can override technical signals 4. Liquidity Risk: Some markets may have insufficient liquidity 5. Technology Risk: Platform failures or connectivity issues may prevent order execution. Professional Trading Warning • THIS IS NOT PROFESSIONAL TRADING SOFTWARE: Not intended for institutional or professional trading • NO REGULATORY APPROVAL: This indicator has not been approved by any financial regulatory authority • EDUCATIONAL PURPOSE: Designed primarily for learning technical analysis concepts FINAL WARNING NEVER INVEST MONEY YOU CANNOT AFFORD TO LOSE Trading financial instruments involves significant risk. The majority of retail traders lose money. Before using this indicator in live trading: 1. Practice on paper/demo accounts extensively 2. Start with small position sizes 3. Develop a comprehensive trading plan 4. Implement strict risk management rules 5. Continuously educate yourself about market dynamics By using the Quantum Market Analyzer X7, you acknowledge that you have read, understood, and agree to this disclaimer. You assume full responsibility for all trading decisions and their outcomes. Contact: For questions about this disclaimer or the indicator, contact aiTrendview through official TradingView channels only. ________________________________________ This study guide and indicator are published on TradingView in compliance with TradingView's community guidelines and house rules. All users must adhere to TradingView's terms of service when using this indicator. Document Version: 1.0 Publisher: aiTrendview ________________________________________ Disclaimer The content provided in this blog post is for educational and training purposes only. It is not intended to be, and should not be construed as, financial, investment, or trading advice. All charting and technical analysis examples are for illustrative purposes. Trading and investing in financial markets involve substantial risk of loss and are not suitable for every individual. Before making any financial decisions, you should consult with a qualified financial professional to assess your personal financial situation.
Pine Script® indicator
by aiTrendview-Charting-System
MA SMART Angle ### 📊 WHAT IS MA SMART ANGLE? **MA SMART Angle** is an advanced momentum and trend detection indicator that analyzes the angles (slopes) of multiple moving averages to generate clear, non-repainting BUY and SELL signals. **Original Concept Credit:** This indicator builds upon the "MA Angles" concept originally created by **JD** (also known as Duyck). The core angle calculation methodology and Jurik Moving Average (JMA) implementation by **Everget** are preserved from the original open-source work. The angle calculation formula was contributed by **KyJ**. This enhanced version is published with respect to the open-source nature of the original indicator. Original indicator reference: "ma angles - JD" by Duyck --- ## 🎯 ORIGINALITY & VALUE PROPOSITION ### **What Makes This Different from the Original:** While the original "MA Angles" by **JD** provided excellent angle visualization, it lacked actionable entry signals. **MA SMART Angle** addresses this by adding: **1. Clear Entry/Exit Signals** - Explicit BUY/SELL arrows based on angle crossovers, momentum confirmation, and MA alignment - No guessing when to enter trades - the indicator tells you exactly when conditions align **2. Non-Repainting Logic** - All signals use confirmed historical data (shifted by 2 bars minimum) - Critical for backtesting reliability and live trading confidence - Original indicator could repaint signals on current bar **3. Dual Signal System** - **Simple Mode:** More frequent signals based on angle crossovers + momentum (for active traders) - **Strict Mode:** Requires full multi-MA alignment + momentum confirmation (for conservative traders) - Adaptable to different trading styles and risk tolerances **4. Smart Signal Filtering** - **Anti-spam cooldown:** Prevents duplicate signals within configurable bar count - **No-trade zone detection:** Filters out low-conviction sideways markets automatically - **Multi-timeframe MA alignment:** Ensures all moving averages agree on direction before signaling **5. Enhanced Visualization** - Large, clear BUY/SELL arrows with descriptive labels - Color-coded backgrounds for market states (trending vs. ranging) - Momentum histogram showing acceleration/deceleration in real-time - Live status table displaying trend strength, angle value, momentum, and MA alignment **6. Professional Alert System** - Four distinct alert conditions: BUY Signal, SELL Signal, Strong BUY, Strong SELL - Enables automated trade notifications and strategy integration **7. Modified MA Periods** - Original used EMA(27), EMA(83), EMA(278) - Enhanced version uses faster EMA(3), EMA(8), EMA(13) for more responsive signals - Better suited for modern volatile markets and shorter timeframes --- ## 📐 HOW IT WORKS - TECHNICAL EXPLANATION ### **Core Methodology:** The indicator calculates angles (slopes) for five key moving averages: - **JMA (Jurik Moving Average)** - Smooth, lag-reduced trend line (original implementation by **Everget**) - **JMA Fast** - Responsive momentum indicator with higher power parameter - **MA27 (EMA 3)** - Primary fast-moving average for signal generation - **MA83 (EMA 8)** - Medium-term trend confirmation - **MA278 (EMA 13)** - Slower trend filter ### **Angle Calculation Formula (by KyJ):** ``` angle = arctan((MA - MA ) / ATR(14)) × (180 / π) ``` **Why ATR normalization?** - Makes angles comparable across different instruments (forex, stocks, crypto) - Makes angles comparable across different timeframes - Accounts for volatility - a 10-point move in different assets has different significance **Angle Interpretation:** - **> 15°** = Strong trend (momentum accelerating) - **0° to 15°** = Weak trend (momentum present but moderate) - **-2° to +2°** = No-trade zone (sideways/choppy market) - **< -15°** = Strong downtrend ### **Signal Generation Logic:** #### **BUY Signal Conditions:** 1. MA27 angle crosses above 0° (upward momentum initiates) 2. All three EMAs (3, 8, 13) pointing upward (trend alignment confirmed) 3. Momentum is positive for 2+ bars (acceleration, not deceleration) 4. Angle exceeds minimum threshold (not in no-trade zone) 5. Cooldown period passed (prevents signal spam) #### **SELL Signal Conditions:** 1. MA27 angle crosses below 0° (downward momentum initiates) 2. All three EMAs pointing downward (downtrend alignment) 3. Momentum is negative for 2+ bars 4. Angle below negative threshold (not in no-trade zone) 5. Cooldown period passed #### **Strong BUY+ / SELL+ Signals:** Additional entry opportunities when JMA Fast crosses JMA Slow while maintaining strong directional angle - indicates momentum acceleration within established trend. --- ## 🔧 HOW TO USE ### **Recommended Settings by Trading Style:** **Scalpers / Day Traders:** - Signal Type: **Simple** - Minimum Angle: **3-5°** - Cooldown Bars: **3-5 bars** - Timeframes: 1m, 5m, 15m **Swing Traders:** - Signal Type: **Strict** - Minimum Angle: **7-10°** - Cooldown Bars: **8-12 bars** - Timeframes: 1H, 4H, Daily **Position Traders:** - Signal Type: **Strict** - Minimum Angle: **10-15°** - Cooldown Bars: **15-20 bars** - Timeframes: Daily, Weekly ### **Parameter Descriptions:** **1. Source** (default: OHLC4) - Price data used for MA calculations - OHLC4 provides smoothest angles - Close is more responsive but noisier **2. Threshold for No-Trade Zones** (default: 2°) - Angles below this are considered sideways/ranging - Increase for stricter filtering of choppy markets - Decrease to allow signals in quieter trending periods **3. Signal Type** (Simple vs. Strict) - **Simple:** Angle crossover OR (trend + momentum) - **Strict:** Angle crossover AND all MAs aligned AND momentum confirmed - Start with Simple, switch to Strict if too many false signals **4. Minimum Angle for Signal** (default: 5°) - Only generate signals when angle exceeds this threshold - Higher values = stronger trends required - Lower values = more sensitive to momentum changes **5. Cooldown Bars** (default: 5) - Minimum bars between consecutive signals - Prevents spam during volatile chop - Scale with your timeframe (higher TF = more bars) **6. Color Bars** (default: true) - Colors chart bars based on signal state - Green = bullish conditions, Red = bearish conditions - Can disable if you prefer clean price bars **7. Background Colors** - **Yellow background** = No-trade zone (low angle, ranging market) - **Green flash** = BUY signal generated - **Red flash** = SELL signal generated - All customizable or can be disabled --- ## 📊 INTERPRETING THE INDICATOR ### **Visual Elements:** **Main Chart Window:** - **Thick Lime/Fuchsia Line** = MA27 angle (primary signal line) - **Medium Green/Red Line** = MA83 angle (trend confirmation) - **Thin Green/Red Line** = MA278 angle (slow trend filter) - **Aqua/Orange Line** = JMA Fast (momentum detector) - **Green/Red Area** = JMA slope (overall trend context) - **Blue/Purple Histogram** = Momentum (angle acceleration/deceleration) **Signal Arrows:** - **Large Green ▲ "BUY"** = Primary buy signal (all conditions met) - **Small Green ▲ "BUY+"** = Strong momentum buy (JMA fast cross) - **Large Red ▼ "SELL"** = Primary sell signal (all conditions met) - **Small Red ▼ "SELL+"** = Strong momentum sell (JMA fast cross) **Status Table (Top Right):** - **Angle:** Current MA27 angle in degrees - **Trend:** Classification (STRONG UP/DOWN, UP/DOWN, FLAT) - **Momentum:** Acceleration state (ACCEL UP/DN, Up/Down) - **MAs:** Alignment status (ALL UP/DOWN, Mixed) - **Zone:** Trading zone status (ACTIVE vs. NO TRADE) - **Last:** Bars since last signal ### **Trading Strategies:** **Strategy 1: Pure Signal Following** - Enter LONG on BUY signal - Exit on SELL signal - Use stop-loss at recent swing low/high - Works best on trending instruments **Strategy 2: Confirmation with Price Action** - Wait for BUY signal + bullish candlestick pattern - Wait for SELL signal + bearish candlestick pattern - Increases win rate by filtering premature signals - Recommended for beginners **Strategy 3: Momentum Acceleration** - Use BUY+/SELL+ signals for adding to positions - Only take these in direction of primary signal - Scalp quick moves during momentum spikes - For experienced traders **Strategy 4: Mean Reversion in No-Trade Zones** - When status shows "NO TRADE", fade extremes - Wait for angle to exit no-trade zone for reversal - Contrarian approach for range-bound markets - Requires tight stops --- ## ⚠️ LIMITATIONS & DISCLAIMERS **What This Indicator DOES:** ✅ Measures momentum direction and strength via angle analysis ✅ Generates signals when multiple conditions align ✅ Filters out low-conviction sideways markets ✅ Provides visual clarity on trend state **What This Indicator DOES NOT:** ❌ Predict future price movements with certainty ❌ Guarantee profitable trades (no indicator can) ❌ Work equally well on all instruments/timeframes ❌ Replace proper risk management and position sizing **Known Limitations:** - **Lagging Nature:** Like all moving averages, signals occur after momentum begins - **Whipsaw Risk:** Can generate false signals in volatile, directionless markets - **Optimization Required:** Parameters need adjustment for different assets - **Not a Complete System:** Should be combined with risk management, position sizing, and other analysis **Best Performance Conditions:** - Strong trending markets (crypto bull runs, stock breakouts) - Liquid instruments (major forex pairs, large-cap stocks) - Appropriate timeframe selection (match to trading style) - Used alongside support/resistance and volume analysis --- ## 🔔 ALERT SETUP The indicator includes four alert conditions: **1. BUY SIGNAL** - Message: "MA SMART Angle: BUY SIGNAL! Angle crossed up with momentum" - Use for: Primary long entries **2. SELL SIGNAL** - Message: "MA SMART Angle: SELL SIGNAL! Angle crossed down with momentum" - Use for: Primary short entries or long exits **3. Strong BUY** - Message: "MA SMART Angle: Strong BUY momentum - JMA fast crossed up" - Use for: Adding to longs or aggressive entries **4. Strong SELL** - Message: "MA SMART Angle: Strong SELL momentum - JMA fast crossed down" - Use for: Adding to shorts or aggressive exits **Setting Up Alerts:** 1. Right-click indicator → "Add Alert on MA SMART Angle" 2. Select desired condition from dropdown 3. Choose notification method (popup, email, webhook) 4. Set alert expiration (typically "Once Per Bar Close") --- ## 📚 EDUCATIONAL VALUE This indicator serves as an excellent learning tool for understanding: **1. Angle-Based Momentum Analysis** - Traditional indicators show MA crossovers - This shows the *rate of change* (velocity) of MAs - Teaches traders to think in terms of momentum acceleration **2. Multi-Timeframe Confirmation** - Shows how fast, medium, and slow MAs interact - Demonstrates importance of trend alignment - Helps develop patience for high-probability setups **3. Signal Quality vs. Quantity Tradeoff** - Simple mode = more signals, more noise - Strict mode = fewer signals, higher quality - Teaches discretionary filtering skills **4. Market State Recognition** - Visual distinction between trending and ranging markets - Helps traders avoid trading choppy conditions - Develops "market context" awareness --- ## 🔄 DIFFERENCES FROM OTHER MA INDICATORS **vs. Traditional MA Crossovers:** - Measures momentum (angle) rather than just price crossing MA - Provides earlier signals as angles change before price crosses - Filters better for sideways markets using no-trade zones **vs. MACD:** - Uses multiple MAs instead of just two - ATR normalization makes it universal across instruments - Visual angle representation more intuitive than histogram **vs. Supertrend:** - Not based on ATR bands but on MA slope analysis - Provides graduated strength indication (not just binary trend) - Less prone to whipsaw in low volatility **vs. Original "MA Angles" by JD:** - Adds explicit entry/exit signals (original had none) - Implements no-repaint logic for reliability - Includes signal filtering and quality controls - Provides dual signal systems (Simple/Strict) - Enhanced visualization and status monitoring - Uses faster MA periods (3/8/13 vs 27/83/278) for modern markets --- ## 📖 CODE STRUCTURE (for Pine Script learners) This indicator demonstrates: **Advanced Pine Script Techniques:** - Custom function implementation (JMA, angle calculation) - Var declarations for stateful tracking - Table creation for HUD display - Multi-condition signal logic - Alert system integration - Proper use of historical references for no-repaint **Code Organization:** - Modular function definitions (JMA, angle) - Clear separation of concerns (inputs, calculations, plotting, alerts) - Extensive commenting for maintainability - Best practices for Pine Script v5 **Learning Resources:** - Study the JMA function to understand adaptive smoothing - Examine angle calculation for ATR normalization technique - Review signal logic for multi-condition confirmation patterns - Analyze anti-spam filtering for state management The code is open-source - feel free to study, modify, and improve upon it! --- ## 🙏 CREDITS & ATTRIBUTION **Original Concepts:** - **"ma angles - JD" by JD (Duyck)** - Core angle calculation methodology and indicator concept Original open-source indicator on TradingView Community Scripts - **JMA (Jurik Moving Average) implementation by Everget** - Smooth, low-lag moving average function Acknowledged in original JD indicator code - **Angle Calculation formula by KyJ** - Mathematical formula for converting MA slope to degrees using ATR normalization Acknowledged in original JD indicator code comments **Enhancements in This Version:** - Signal generation logic - Original implementation for this indicator - No-repaint confirmation system - Original implementation - Dual signal modes (Simple/Strict) - Original implementation - Visual enhancements and status table - Original implementation - Alert system and signal filtering - Original implementation - Modified MA periods (3/8/13 instead of 27/83/278) - Optimization for modern markets **Open Source Philosophy:** This indicator follows the open-source spirit of TradingView and the Pine Script community. The original "ma angles - JD" by JD (Duyck) was published as open-source, enabling this enhanced version. Similarly, this code is published as open-source to allow further community improvements. --- ## ⚡ QUICK START GUIDE **For New Users:** 1. Add indicator to chart 2. Start with default settings (Simple mode) 3. Wait for BUY signal (green arrow) 4. Observe how price behaves after signal 5. Check status table to understand market state 6. Adjust parameters based on your instrument/timeframe **For Experienced Traders:** 1. Switch to Strict mode for higher quality signals 2. Increase cooldown bars to reduce frequency 3. Raise minimum angle threshold for stronger trends 4. Combine with your existing strategy for confirmation 5. Set up alerts for desired signal types 6. Backtest on your preferred instruments --- ## 🎓 RECOMMENDED COMBINATIONS **Works Well With:** - **Volume Analysis:** Confirm signals with volume spikes - **Support/Resistance:** Take signals near key levels - **RSI/Stochastic:** Avoid overbought/oversold extremes - **ATR:** Size positions based on volatility - **Price Action:** Wait for candlestick confirmation **Complementary Indicators:** - Order Flow / Footprint (for institutional confirmation) - Volume Profile (for identifying value areas) - VWAP (for intraday mean reversion reference) - Fibonacci Retracements (for target setting) --- ## 📈 PERFORMANCE EXPECTATIONS **Realistic Win Rates:** - Simple Mode: 45-55% (higher frequency, moderate accuracy) - Strict Mode: 55-65% (lower frequency, higher accuracy) - Combined with price action: 60-70% **Best Asset Classes:** 1. **Cryptocurrencies** (strong trends, clear signals) 2. **Forex Major Pairs** (smooth price action, good angles) 3. **Large-Cap Stocks** (trending behavior, liquid) 4. **Index Futures** (trending instruments) **Challenging Conditions:** - Low volatility consolidation periods - News-driven erratic movements - Thin/illiquid instruments - Counter-trending markets --- ## 🛡️ RISK DISCLAIMER **IMPORTANT LEGAL NOTICE:** This indicator is for **educational and informational purposes only**. It is **NOT financial advice** and does not constitute a recommendation to buy or sell any financial instrument. **Trading Risks:** - Trading carries substantial risk of loss - Past performance does not guarantee future results - No indicator can predict market movements with certainty - You can lose more than your initial investment (especially with leverage) **User Responsibilities:** - Conduct your own research and due diligence - Understand the instruments you trade - Never risk more than you can afford to lose - Use proper position sizing and risk management - Consider consulting a licensed financial advisor **Indicator Limitations:** - Signals are based on historical data only - No guarantee of accuracy or profitability - Parameters must be optimized for your specific use case - Results vary significantly by market conditions By using this indicator, you acknowledge and accept all trading risks. The author is not responsible for any financial losses incurred through use of this indicator. --- ## 📧 SUPPORT & FEEDBACK **Found a bug?** Please report it in the comments with: - Chart symbol and timeframe - Parameter settings used - Description of unexpected behavior - Screenshot if possible **Have suggestions?** Share your ideas for improvements! **Enjoying the indicator?** Leave a like and follow for updates!
Pine Script® indicator
by Smart-Day-Trader
Algorithm Predator - ML-liteAlgorithm Predator - ML-lite This indicator combines four specialized trading agents with an adaptive multi-armed bandit selection system to identify high-probability trade setups. It is designed for swing and intraday traders who want systematic signal generation based on institutional order flow patterns , momentum exhaustion , liquidity dynamics , and statistical mean reversion . Core Architecture Why These Components Are Combined: The script addresses a fundamental challenge in algorithmic trading: no single detection method works consistently across all market conditions. By deploying four independent agents and using reinforcement learning algorithms to select or blend their outputs, the system adapts to changing market regimes without manual intervention. The Four Trading Agents 1. Spoofing Detector Agent 🎭 Detects iceberg orders through persistent volume at similar price levels over 5 bars Identifies spoofing patterns via asymmetric wick analysis (wicks exceeding 60% of bar range with volume >1.8× average) Monitors order clustering using simplified Hawkes process intensity tracking (exponential decay model) Signal Logic: Contrarian—fades false breakouts caused by institutional manipulation Best Markets: Consolidations, institutional trading windows, low-liquidity hours 2. Exhaustion Detector Agent ⚡ Calculates RSI divergence between price movement and momentum indicator over 5-bar window Detects VWAP exhaustion (price at 2σ bands with declining volume) Uses VPIN reversals (volume-based toxic flow dissipation) to identify momentum failure Signal Logic: Counter-trend—enters when momentum extreme shows weakness Best Markets: Trending markets reaching climax points, over-extended moves 3. Liquidity Void Detector Agent 💧 Measures Bollinger Band squeeze (width <60% of 50-period average) Identifies stop hunts via 20-bar high/low penetration with immediate reversal and volume spike Detects hidden liquidity absorption (volume >2× average with range <0.3× ATR) Signal Logic: Breakout anticipation—enters after liquidity grab but before main move Best Markets: Range-bound pre-breakout, volatility compression zones 4. Mean Reversion Agent 📊 Calculates price z-scores relative to 50-period SMA and standard deviation (triggers at ±2σ) Implements Ornstein-Uhlenbeck process scoring (mean-reverting stochastic model) Uses entropy analysis to detect algorithmic trading patterns (low entropy <0.25 = high predictability) Signal Logic: Statistical reversion—enters when price deviates significantly from statistical equilibrium Best Markets: Range-bound, low-volatility, algorithmically-dominated instruments Adaptive Selection: Multi-Armed Bandit System The script implements four reinforcement learning algorithms to dynamically select or blend agents based on performance: Thompson Sampling (Default - Recommended): Uses Bayesian inference with beta distributions (tracks alpha/beta parameters per agent) Balances exploration (trying underused agents) vs. exploitation (using proven winners) Each agent's win/loss history informs its selection probability Lite Approximation: Uses pseudo-random sampling from price/volume noise instead of true random number generation UCB1 (Upper Confidence Bound): Calculates confidence intervals using: average_reward + sqrt(2 × ln(total_pulls) / agent_pulls) Deterministic algorithm favoring agents with high uncertainty (potential upside) More conservative than Thompson Sampling Epsilon-Greedy: Exploits best-performing agent (1-ε)% of the time Explores randomly ε% of the time (default 10%, configurable 1-50%) Simple, transparent, easily tuned via epsilon parameter Gradient Bandit: Uses softmax probability distribution over agent preference weights Updates weights via gradient ascent based on rewards Best for Blend mode where all agents contribute Selection Modes: Switch Mode: Uses only the selected agent's signal (clean, decisive) Blend Mode: Combines all agents using exponentially weighted confidence scores controlled by temperature parameter (smooth, diversified) Lock Agent Feature: Optional manual override to force one specific agent Useful after identifying which agent dominates your specific instrument Only applies in Switch mode Four choices: Spoofing Detector, Exhaustion Detector, Liquidity Void, Mean Reversion Memory System Dual-Layer Architecture: Short-Term Memory: Stores last 20 trade outcomes per agent (configurable 10-50) Long-Term Memory: Stores episode averages when short-term reaches transfer threshold (configurable 5-20 bars) Memory Boost Mechanism: Recent performance modulates agent scores by up to ±20% Episode Transfer: When an agent accumulates sufficient results, averages are condensed into long-term storage Persistence: Manual restoration of learned parameters via input fields (alpha, beta, weights, microstructure thresholds) How Memory Works: Agent generates signal → outcome tracked after 8 bars (performance horizon) Result stored in short-term memory (win = 1.0, loss = 0.0) Short-term average influences agent's future scores (positive feedback loop) After threshold met (default 10 results), episode averaged into long-term storage Long-term patterns (weighted 30%) + short-term patterns (weighted 70%) = total memory boost Market Microstructure Analysis These advanced metrics quantify institutional order flow dynamics: Order Flow Toxicity (Simplified VPIN): Measures buy/sell volume imbalance over 20 bars: |buy_vol - sell_vol| / (buy_vol + sell_vol) Detects informed trading activity (institutional players with non-public information) Values >0.4 indicate "toxic flow" (informed traders active) Lite Approximation: Uses simple open/close heuristic instead of tick-by-tick trade classification Price Impact Analysis (Simplified Kyle's Lambda): Measures market impact efficiency: |price_change_10| / sqrt(volume_sum_10) Low values = large orders with minimal price impact ( stealth accumulation ) High values = retail-dominated moves with high slippage Lite Approximation: Uses simplified denominator instead of regression-based signed order flow Market Randomness (Entropy Analysis): Counts unique price changes over 20 bars / 20 Measures market predictability High entropy (>0.6) = human-driven, chaotic price action Low entropy (<0.25) = algorithmic trading dominance (predictable patterns) Lite Approximation: Simple ratio instead of true Shannon entropy H(X) = -Σ p(x)·log₂(p(x)) Order Clustering (Simplified Hawkes Process): Tracks self-exciting event intensity (coordinated order activity) Decays at 0.9× per bar, spikes +1.0 when volume >1.5× average High intensity (>0.7) indicates clustering (potential spoofing/accumulation) Lite Approximation: Simple exponential decay instead of full λ(t) = μ + Σ α·exp(-β(t-tᵢ)) with MLE Signal Generation Process Multi-Stage Validation: Stage 1: Agent Scoring Each agent calculates internal score based on its detection criteria Scores must exceed agent-specific threshold (adjusted by sensitivity multiplier) Agent outputs: Signal direction (+1/-1/0) and Confidence level (0.0-1.0) Stage 2: Memory Boost Agent scores multiplied by memory boost factor (0.8-1.2 based on recent performance) Successful agents get amplified, failing agents get dampened Stage 3: Bandit Selection/Blending If Adaptive Mode ON: Switch: Bandit selects single best agent, uses only its signal Blend: All agents combined using softmax-weighted confidence scores If Adaptive Mode OFF: Traditional consensus voting with confidence-squared weighting Signal fires when consensus exceeds threshold (default 70%) Stage 4: Confirmation Filter Raw signal must repeat for consecutive bars (default 3, configurable 2-4) Minimum confidence threshold: 0.25 (25%) enforced regardless of mode Trend alignment check: Long signals require trend_score ≥ -2, Short signals require trend_score ≤ 2 Stage 5: Cooldown Enforcement Minimum bars between signals (default 10, configurable 5-15) Prevents over-trading during choppy conditions Stage 6: Performance Tracking After 8 bars (performance horizon), signal outcome evaluated Win = price moved in signal direction, Loss = price moved against Results fed back into memory and bandit statistics Trading Modes (Presets) Pre-configured parameter sets: Conservative: 85% consensus, 4 confirmations, 15-bar cooldown Expected: 60-70% win rate, 3-8 signals/week Best for: Swing trading, capital preservation, beginners Balanced: 70% consensus, 3 confirmations, 10-bar cooldown Expected: 55-65% win rate, 8-15 signals/week Best for: Day trading, most traders, general use Aggressive: 60% consensus, 2 confirmations, 5-bar cooldown Expected: 50-58% win rate, 15-30 signals/week Best for: Scalping, high-frequency trading, active management Elite: 75% consensus, 3 confirmations, 12-bar cooldown Expected: 58-68% win rate, 5-12 signals/week Best for: Selective trading, high-conviction setups Adaptive: 65% consensus, 2 confirmations, 8-bar cooldown Expected: Varies based on learning Best for: Experienced users leveraging bandit system How to Use 1. Initial Setup (5 Minutes): Select Trading Mode matching your style (start with Balanced) Enable Adaptive Learning (recommended for automatic agent selection) Choose Thompson Sampling algorithm (best all-around performance) Keep Microstructure Metrics enabled for liquid instruments (>100k daily volume) 2. Agent Tuning (Optional): Adjust Agent Sensitivity multipliers (0.5-2.0): <0.8 = Highly selective (fewer signals, higher quality) 0.9-1.2 = Balanced (recommended starting point) 1.3 = Aggressive (more signals, lower individual quality) Monitor dashboard for 20-30 signals to identify dominant agent If one agent consistently outperforms, consider using Lock Agent feature 3. Bandit Configuration (Advanced): Blend Temperature (0.1-2.0): 0.3 = Sharp decisions (best agent dominates) 0.5 = Balanced (default) 1.0+ = Smooth (equal weighting, democratic) Memory Decay (0.8-0.99): 0.90 = Fast adaptation (volatile markets) 0.95 = Balanced (most instruments) 0.97+ = Long memory (stable trends) 4. Signal Interpretation: Green triangle (▲): Long signal confirmed Red triangle (▼): Short signal confirmed Dashboard shows: Active agent (highlighted row with ► marker) Win rate per agent (green >60%, yellow 40-60%, red <40%) Confidence bars (█████ = maximum confidence) Memory size (short-term buffer count) Colored zones display: Entry level (current close) Stop-loss (1.5× ATR) Take-profit 1 (2.0× ATR) Take-profit 2 (3.5× ATR) 5. Risk Management: Never risk >1-2% per signal (use ATR-based stops) Signals are entry triggers, not complete strategies Combine with your own market context analysis Consider fundamental catalysts and news events Use "Confirming" status to prepare entries (not to enter early) 6. Memory Persistence (Optional): After 50-100 trades, check Memory Export Panel Record displayed alpha/beta/weight values for each agent Record VPIN and Kyle threshold values Enable "Restore From Memory" and input saved values to continue learning Useful when switching timeframes or restarting indicator Visual Components On-Chart Elements: Spectral Layers: EMA8 ± 0.5 ATR bands (dynamic support/resistance, colored by trend) Energy Radiance: Multi-layer glow boxes at signal points (intensity scales with confidence, configurable 1-5 layers) Probability Cones: Projected price paths with uncertainty wedges (15-bar projection, width = confidence × ATR) Connection Lines: Links sequential signals (solid = same direction continuation, dotted = reversal) Kill Zones: Risk/reward boxes showing entry, stop-loss, and dual take-profit targets Signal Markers: Triangle up/down at validated entry points Dashboard (Configurable Position & Size): Regime Indicator: 4-level trend classification (Strong Bull/Bear, Weak Bull/Bear) Mode Status: Shows active system (Adaptive Blend, Locked Agent, or Consensus) Agent Performance Table: Real-time win%, confidence, and memory stats Order Flow Metrics: Toxicity and impact indicators (when microstructure enabled) Signal Status: Current state (Long/Short/Confirming/Waiting) with confirmation progress Memory Panel (Configurable Position & Size): Live Parameter Export: Alpha, beta, and weight values per agent Adaptive Thresholds: Current VPIN sensitivity and Kyle threshold Save Reminder: Visual indicator if parameters should be recorded What Makes This Original This script's originality lies in three key innovations: 1. Genuine Meta-Learning Framework: Unlike traditional indicator mashups that simply display multiple signals, this implements authentic reinforcement learning (multi-armed bandits) to learn which detection method works best in current conditions. The Thompson Sampling implementation with beta distribution tracking (alpha for successes, beta for failures) is statistically rigorous and adapts continuously. This is not post-hoc optimization—it's real-time learning. 2. Episodic Memory Architecture with Transfer Learning: The dual-layer memory system mimics human learning patterns: Short-term memory captures recent performance (recency bias) Long-term memory preserves historical patterns (experience) Automatic transfer mechanism consolidates knowledge Memory boost creates positive feedback loops (successful strategies become stronger) This architecture allows the system to adapt without retraining , unlike static ML models that require batch updates. 3. Institutional Microstructure Integration: Combines retail-focused technical analysis (RSI, Bollinger Bands, VWAP) with institutional-grade microstructure metrics (VPIN, Kyle's Lambda, Hawkes processes) typically found in academic finance literature and professional trading systems, not standard retail platforms. While simplified for Pine Script constraints, these metrics provide insight into informed vs. uninformed trading , a dimension entirely absent from traditional technical analysis. Mashup Justification: The four agents are combined specifically for risk diversification across failure modes: Spoofing Detector: Prevents false breakout losses from manipulation Exhaustion Detector: Prevents chasing extended trends into reversals Liquidity Void: Exploits volatility compression (different regime than trending) Mean Reversion: Provides mathematical anchoring when patterns fail The bandit system ensures the optimal tool is automatically selected for each market situation, rather than requiring manual interpretation of conflicting signals. Why "ML-lite"? Simplifications and Approximations This is the "lite" version due to necessary simplifications for Pine Script execution: 1. Simplified VPIN Calculation: Academic Implementation: True VPIN uses volume bucketing (fixed-volume bars) and tick-by-tick buy/sell classification via Lee-Ready algorithm or exchange-provided trade direction flags This Implementation: 20-bar rolling window with simple open/close heuristic (close > open = buy volume) Impact: May misclassify volume during ranging/choppy markets; works best in directional moves 2. Pseudo-Random Sampling: Academic Implementation: Thompson Sampling requires true random number generation from beta distributions using inverse transform sampling or acceptance-rejection methods This Implementation: Deterministic pseudo-randomness derived from price and volume decimal digits: (close × 100 - floor(close × 100)) + (volume % 100) / 100 Impact: Not cryptographically random; may have subtle biases in specific price ranges; provides sufficient variation for agent selection 3. Hawkes Process Approximation: Academic Implementation: Full Hawkes process uses maximum likelihood estimation with exponential kernels: λ(t) = μ + Σ α·exp(-β(t-tᵢ)) fitted via iterative optimization This Implementation: Simple exponential decay (0.9 multiplier) with binary event triggers (volume spike = event) Impact: Captures self-exciting property but lacks parameter optimization; fixed decay rate may not suit all instruments 4. Kyle's Lambda Simplification: Academic Implementation: Estimated via regression of price impact on signed order flow over multiple time intervals: Δp = λ × Δv + ε This Implementation: Simplified ratio: price_change / sqrt(volume_sum) without proper signed order flow or regression Impact: Provides directional indicator of impact but not true market depth measurement; no statistical confidence intervals 5. Entropy Calculation: Academic Implementation: True Shannon entropy requires probability distribution: H(X) = -Σ p(x)·log₂(p(x)) where p(x) is probability of each price change magnitude This Implementation: Simple ratio of unique price changes to total observations (variety measure) Impact: Measures diversity but not true information entropy with probability weighting; less sensitive to distribution shape 6. Memory System Constraints: Full ML Implementation: Neural networks with backpropagation, experience replay buffers (storing state-action-reward tuples), gradient descent optimization, and eligibility traces This Implementation: Fixed-size array queues with simple averaging; no gradient-based learning, no state representation beyond raw scores Impact: Cannot learn complex non-linear patterns; limited to linear performance tracking 7. Limited Feature Engineering: Advanced Implementation: Dozens of engineered features, polynomial interactions (x², x³), dimensionality reduction (PCA, autoencoders), feature selection algorithms This Implementation: Raw agent scores and basic market metrics (RSI, ATR, volume ratio); minimal transformation Impact: May miss subtle cross-feature interactions; relies on agent-level intelligence rather than feature combinations 8. Single-Instrument Data: Full Implementation: Multi-asset correlation analysis (sector ETFs, currency pairs, volatility indices like VIX), lead-lag relationships, risk-on/risk-off regimes This Implementation: Only OHLCV data from displayed instrument Impact: Cannot incorporate broader market context; vulnerable to correlated moves across assets 9. Fixed Performance Horizon: Full Implementation: Adaptive horizon based on trade duration, volatility regime, or profit target achievement This Implementation: Fixed 8-bar evaluation window Impact: May evaluate too early in slow markets or too late in fast markets; one-size-fits-all approach Performance Impact Summary: These simplifications make the script: ✅ Faster: Executes in milliseconds vs. seconds (or minutes) for full academic implementations ✅ More Accessible: Runs on any TradingView plan without external data feeds, APIs, or compute servers ✅ More Transparent: All calculations visible in Pine Script (no black-box compiled models) ✅ Lower Resource Usage: <500 bars lookback, minimal memory footprint ⚠️ Less Precise: Approximations may reduce statistical edge by 5-15% vs. academic implementations ⚠️ Limited Scope: Cannot capture tick-level dynamics, multi-order-book interactions, or cross-asset flows ⚠️ Fixed Parameters: Some thresholds hardcoded rather than dynamically optimized When to Upgrade to Full Implementation: Consider professional Python/C++ versions with institutional data feeds if: Trading with >$100K capital where precision differences materially impact returns Operating in microsecond-competitive environments (HFT, market making) Requiring regulatory-grade audit trails and reproducibility Backtesting with tick-level precision for strategy validation Need true real-time adaptation with neural network-based learning For retail swing/day trading and position management, these approximations provide sufficient signal quality while maintaining usability, transparency, and accessibility. The core logic—multi-agent detection with adaptive selection—remains intact. Technical Notes All calculations use standard Pine Script built-in functions ( ta.ema, ta.atr, ta.rsi, ta.bb, ta.sma, ta.stdev, ta.vwap ) VPIN and Kyle's Lambda use simplified formulas optimized for OHLCV data (see "Lite" section above) Thompson Sampling uses pseudo-random noise from price/volume decimal digits for beta distribution sampling No repainting: All calculations use confirmed bar data (no forward-looking) Maximum lookback: 500 bars (set via max_bars_back parameter) Performance evaluation: 8-bar forward-looking window for reward calculation (clearly disclosed) Confidence threshold: Minimum 0.25 (25%) enforced on all signals Memory arrays: Dynamic sizing with FIFO queue management Limitations and Disclaimers Not Predictive: This indicator identifies patterns in historical data. It cannot predict future price movements with certainty. Requires Human Judgment: Signals are entry triggers, not complete trading strategies. Must be confirmed with your own analysis, risk management rules, and market context. Learning Period Required: The adaptive system requires 50-100 bars minimum to build statistically meaningful performance data for bandit algorithms. Overfitting Risk: Restoring memory parameters from one market regime to a drastically different regime (e.g., low volatility to high volatility) may cause poor initial performance until system re-adapts. Approximation Limitations: Simplified calculations (see "Lite" section) may underperform academic implementations by 5-15% in highly efficient markets. No Guarantee of Profit: Past performance, whether backtested or live-traded, does not guarantee future performance. All trading involves risk of loss. Forward-Looking Bias: Performance evaluation uses 8-bar forward window—this creates slight look-ahead for learning (though not for signals). Real-time performance may differ from indicator's internal statistics. Single-Instrument Limitation: Does not account for correlations with related assets or broader market regime changes. Recommended Settings Timeframe: 15-minute to 4-hour charts (sufficient volatility for ATR-based stops; adequate bar volume for learning) Assets: Liquid instruments with >100k daily volume (forex majors, large-cap stocks, BTC/ETH, major indices) Not Recommended: Illiquid small-caps, penny stocks, low-volume altcoins (microstructure metrics unreliable) Complementary Tools: Volume profile, order book depth, market breadth indicators, fundamental catalysts Position Sizing: Risk no more than 1-2% of capital per signal using ATR-based stop-loss Signal Filtering: Consider external confluence (support/resistance, trendlines, round numbers, session opens) Start With: Balanced mode, Thompson Sampling, Blend mode, default agent sensitivities (1.0) After 30+ Signals: Review agent win rates, consider increasing sensitivity of top performers or locking to dominant agent Alert Configuration The script includes built-in alert conditions: Long Signal: Fires when validated long entry confirmed Short Signal: Fires when validated short entry confirmed Alerts fire once per bar (after confirmation requirements met) Set alert to "Once Per Bar Close" for reliability Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
Pine Script® indicator
by DskyzInvestments
14
Quasimodo Pattern Strategy Back Test [TradingFinder] QM Trading🔵 Introduction The QM pattern, also known as the Quasimodo pattern, is one of the popular patterns in price action, and it is often used by technical analysts. The QM pattern is used to identify trend reversals and provides a very good risk-to-reward ratio. One of the advantages of the QM pattern is its high frequency and visibility in charts. Additionally, due to its strength, it is highly profitable, and as mentioned, its risk-to-reward ratio is very good. The QM pattern is highly popular among traders in supply and demand, and traders also use this pattern. The Price Action QM pattern, like other Price Action patterns, has two types: Bullish QM and Bearish QM patterns. To identify this pattern, you need to be familiar with its types to recognize it. 🔵 Identifying the QM Pattern 🟣 Bullish QM In the bullish QM pattern, as you can see in the image below, an LL and HH are formed. As you can see, the neckline is marked as a dashed line. When the price reaches this range, it will start its upward movement. 🟣 Bearish QM The Price Action QM pattern also has a bearish pattern. As you can see in the image below, initially, an HH and LL are formed. The neckline in this image is the dashed line, and when the LL is formed, the price reaches this neckline. However, it cannot pass it, and the downward trend resumes. 🔵 How to Use The Quasimodo pattern is one of the clearest structures used to identify market reversals. It is built around the concept of a structural break followed by a pullback into an area of trapped liquidity. Instead of relying on lagging indicators, this pattern focuses purely on price action and how the market reacts after exhausting one side of liquidity. When understood correctly, it provides traders with precise entry points at the transition between trend phases. 🟣 Bullish Quasimodo A bullish Quasimodo forms after a clear downtrend when sellers start losing control. The market continues to make lower lows until a sudden higher high appears, signaling that buyers are entering with strength. Price then pulls back to retest the previous low, creating what is known as the Quasimodo low. This area often becomes the final trap for sellers before the market shifts upward. A visible rejection or displacement from this zone confirms bullish momentum. Traders usually place entries near this level, stops below the low, and targets at previous highs or the next resistance zone. Combining the setup with demand zones or Fair Value Gaps increases its accuracy. 🟣 Bearish Quasimodo A bearish Quasimodo forms near the top of an uptrend when buyers begin to lose strength. The market continues to make higher highs until a sudden lower low breaks the bullish structure, showing that selling pressure is entering the market. Price then retraces upward to retest the previous high, forming the Quasimodo high, where breakout buyers are often trapped. Once rejection appears at this level, it indicates a likely reversal. Traders can enter short near this area, with stop-losses placed above the high and targets near the next support or previous lows. The setup gains more reliability when aligned with supply zones, SMT divergence, or bearish Fair Value Gaps. 🔵 Setting Pivot Period : You can use this parameter to use your desired period to identify the QM pattern. By default, this parameter is set to the number 5. Take Profit Mode : You can choose your desired Take Profit in three ways. Based on the logic of the QM strategy, you can select two Take Profit levels, TP1 and TP2. You can also choose your take profit based on the Reward to Risk ratio. You must enter your desired R/R in the Reward to Risk Ratio parameter. Stop Loss Refine : The loss limit of the QM strategy is based on its logic on the Head pattern. You can refine it using the ATR Refine option to prevent Stop Hunt. You can enter your desired coefficient in the Stop Loss ATR Adjustment Coefficient parameter. Reward to Risk Ratio : If you set Take Profit Mode to R/R, you must enter your desired R/R here. For example, if your loss limit is 10 pips and you set R/R to 2, your take profit will be reached when the price is 20 pips away from your entry point. Stop Loss ATR Adjustment Coefficient : If you set Stop Loss Refine to ATR Refine, you must adjust your loss limit coefficient here. For example, if your buy position's loss limit is at the price of 1000, and your ATR is 10, if you set Stop Loss ATR Adjustment Coefficient to 2, your loss limit will be at the price of 980. Entry Level Validity : Determines how long the Entry level remains valid. The higher the level, the longer the entry level will remain valid. By default it is 2 and it can be set between 2 and 15. 🔵 Results The following examples show the backtest results of the Quasimodo (QM) strategy in action. Each image is based on specific settings for the symbol, timeframe, and input parameters, illustrating how the QM logic can generate signals under different market conditions. The detailed configuration for each backtest is also displayed on the image. ⚠ Important Note : Even with identical settings and the same symbol, results may vary slightly across different brokers due to data feed variations and pricing differences. Default Properties of Backtests : OANDA:XAUUSD | TimeFrame: 5min | Duration: 1 Year : BINANCE:BTCUSD | TimeFrame: 5min | Duration: 1 Year : CAPITALCOM:US30 | TimeFrame: 5min | Duration: 1 Year : NASDAQ:QQQ | TimeFrame: 5min | Duration: 5 Year : OANDA:EURUSD | TimeFrame: 5min | Duration: 5 Year : PEPPERSTONE:US500 | TimeFrame: 5min | Duration: 5 Year :
Pine Script® strategy
by TFlab
18
Hedge Simulation Martingale v1 1. Overview & Strategy Logic This script implements an automated, multi-position trading strategy that uses a Martingale-inspired approach to manage a series of entries. The core logic is as follows: Initial Entry: The script enters a trade based on the direction of the previous bar's close. A green bar triggers a Long position; a red bar triggers a Short position. Profit-Taking: A single, fixed-percentage profit target (Profit Percentage) is set for the entire trade. If reached, all positions are closed for a net profit. Loss Management (Martingale Logic): If the price moves against the initial position and hits the fixed-percentage stop-loss (Loss Percentage), the script does not exit. Instead, it averages down by adding a new, larger position in the same direction. The size of the new position is determined by multiplying the previous position size by the First Multiplier. Net Position Management: The script continuously calculates the net average entry price, a new combined profit target, and a new combined stop-loss based on all open positions. The goal is for a single favorable price move to recover all previous losses and hit the profit target. 2. Key Features Visual Indicators: Plots the Net Average Entry Price on the chart. Plots dynamic Profit Target (TP) and Stop-Loss (SL) levels that update as new positions are added. Displays entry signals (triangles) for the initial Long or Short trade. Comprehensive Dashboard: A detailed table in the top-right corner shows real-time metrics, including: Total historical Long/Short volume and PnL. Current trade's investment, unrealized PnL, and position sizes. Current position count, direction, and size. Configurable Parameters: Profit Percentage: The target profit percentage for the net position. Loss Percentage: The stop-loss percentage that triggers a new entry. Initial Position Size: The size of the first position in the series. First Multiplier: The multiplier applied to the previous position size when averaging down. Maximum Multiplier: A safety cap (commented out in the code but present) to prevent infinite scaling. 3. Intended Use & Purpose This script is designed as a position management and tracking tool for traders who are experimenting with or actively using Martingale-style strategies. It is best used to: Automate the complex calculations of average entry, combined TP/SL, and PnL for multiple entries. Visually track the status of an ongoing series of positions. Backtest the viability and risks of such a strategy on historical data. 4. ⚠️ Critical Risk Warning & Disclaimer THIS STRATEGY CARRIES EXTREME FINANCIAL RISK. USE AT YOUR OWN RISK. Unlimited Loss Potential: The Martingale strategy is infamous for its potential to generate unlimited losses. By continuously doubling down (or multiplying) on losing positions, a small adverse price move can lead to catastrophic losses that can exceed your account balance. Margin Calls: The rapidly increasing position size can quickly deplete your margin, leading to a margin call and forced liquidation of all positions at a significant loss. No Guarantee of Recovery: The assumption that the price will eventually reverse is flawed. A strong, sustained trend can wipe out the entire trading capital. For Educational/Advanced Use Only: This script is intended for sophisticated traders who fully understand the immense risks involved. It is not a "sure profit" system. The publisher of this script is not responsible for any financial losses incurred through its use. You are solely responsible for your trading decisions and risk management. 5. How to Use Apply the Script: Add the script to your chart. Configure Parameters: Adjust the input parameters according to your risk tolerance and strategy rules. Be extremely cautious with the multiplier and position size. Monitor the Dashboard: The table will provide all necessary information about the current and historical state of the strategy. Observe the Levels: Watch the plotted Entry, TP, and SL levels to understand the current market position. Backtest First: Always test the strategy extensively on historical data before considering it with real capital. 6. Notes The Maximum Multiplier safety feature is present in the code but is currently commented out. Users are strongly advised to uncomment and set this parameter to act as a final, hard liquidation point. The script logs key events (trade start, target hit) and export data for further analysis. This is a complex script and should be thoroughly understood before use.
Pine Script® indicator
by ArashShabani
Complete DashboardPA+AI PRE/GO Trading Dashboard v0.1.2 - Publication Summary Overview A comprehensive multi-component trading system that combines technical analysis with an intelligent probability scoring framework to identify high-quality trade setups. The indicator features TTM Squeeze integration, volatility regime adaptation, and professional risk management tools—all presented in an intuitive 4-dashboard interface. Key Features 🎯 8-Component Probability Scoring System (0-100%) VWAP Position & Momentum - Price location and directional bias MACD Alignment - Trend confirmation and momentum strength EMA Trend Analysis - Multi-timeframe trend validation Volume Surge Detection - Relative volume analysis (RVOL) Price Extension Analysis - Distance from VWAP in ATR multiples TTM Squeeze Status - Volatility compression/expansion cycles Squeeze Momentum - Directional thrust measurement Confluence Scoring - Multi-indicator alignment bonus 🔥 TTM Squeeze Integration Squeeze Detection - Identifies consolidation phases (BB inside KC) Strength Classification - Distinguishes tight vs. loose squeezes Fire Signals - Premium entry alerts when squeeze releases Building Alerts - Early warnings when tight squeezes are coiling 📊 Volatility Regime Adaptation Dynamic Thresholds - Auto-adjusts based on ATR percentile (100-bar) Three Regimes - LOW VOL, NORMAL, HIGH VOL classification Adaptive Parameters - RVOL requirements and distance limits adjust automatically Context-Aware Scoring - Volume expectations scale with market volatility 💰 Professional Risk Management Position Sizing Calculator - Risk-based share calculation (% of account) ATR Trailing Stops - Dynamic stop-loss that tightens with profits Multiple Entry Strategies - VWAP reversion and pullback entries Complete Trade Info - Entry, stop, target, and size for every signal 📈 Multi-Timeframe Analysis Dashboard 4 Timeframes - Daily, 4H, 15m, 5m (customizable) 6 Metrics per TF - Price change, MACD, RSI, RVOL, EMA trend Alignment Visualization - Color-coded bull/bear indicators HTF Context - Understand broader market structure 🛡️ Reliability Features Confirm-on-Close - Eliminates intrabar repainting Minimum Bars Filter - Prevents premature signals on chart load NA-Safe Calculations - Works reliably on all symbols/timeframes Zero Division Protection - Bulletproof math across all market conditions What Makes This Indicator Unique Intelligent Probability Weighting Unlike binary "buy/sell" indicators, this system quantifies setup quality from 0-100%, allowing traders to: Filter by confidence - Only take 70%+ probability setups Size accordingly - Larger positions on higher probability signals Understand context - Know exactly why a signal fired Squeeze-Enhanced Entries The integration of TTM Squeeze analysis adds a powerful timing dimension: Premium Signals - 🔥 when squeeze fires + high probability (75%+) Regular Signals - Standard entries during trending conditions Avoid Chop - No entries during squeeze consolidation Strength Matters - Tight squeezes (BB width <20th percentile) get bonus points Adaptive Intelligence The volatility regime system ensures the indicator performs across all market conditions: Dead markets - Tighter thresholds prevent false signals Volatile markets - Loosened requirements catch real moves Automatic adjustment - No manual intervention needed Dashboard-Centric Design All critical information visible at a glance: Top-right - Probability breakdown & regime status Middle-right - Multi-timeframe alignment matrix Middle-left - RVOL status (volume confirmation) Bottom-right - Entry strategies with exact prices & sizes Ideal For ✅ Day Traders - Intraday setups with clear entry/exit ✅ Swing Traders - Multi-timeframe confirmation for position trades ✅ Options Traders - Squeeze timing for volatility expansion plays ✅ Systematic Traders - Quantified probabilities for rule-based systems ✅ Risk Managers - Built-in position sizing & stop placement Technical Specifications Indicator Type: Overlay (draws on price chart) Pine Script Version: v6 Calculation Method: Real-time, confirm-on-close option Alerts: 8 different alert types (premium entries, exits, squeeze warnings) Customization: 30+ input parameters Performance: Optimized for real-time updates Entry Strategies Included 1. VWAP Reversion Enter when price bounces off VWAP ± 0.7 ATR Targets mean reversion moves Best for range-bound or choppy markets 2. Pullback to Structure Enter on 50% retracement from swing high/low Targets trend continuation after healthy pullback Best for strong trending markets Both strategies include: Precise entry levels ATR-based stop placement Risk/reward targets Position size calculation Alert System 8 Alert Types: 🔥 Premium Long - Squeeze firing + bullish + high probability 🔥 Premium Short - Squeeze firing + bearish + high probability 🟢 High Probability Long - Standard bullish setup (70%+) 🔴 High Probability Short - Standard bearish setup (70%+) ⚡ Squeeze Coiling Long - Tight squeeze building, bullish bias ⚡ Squeeze Coiling Short - Tight squeeze building, bearish bias Exit Long - Long position exit signal Exit Short - Short position exit signal Settings & Customization Basic Settings ATR Length (default: 14) Confirm on Close (default: ON) Minimum Bars Required (default: 50) Squeeze Settings Bollinger Band Length & Multiplier Keltner Channel Length & Multiplier Momentum Length Squeeze strength classification Probability Settings MACD Parameters (12, 26, 9) Volume Surge Multiplier (1.5x) High/Medium Probability Thresholds (70%/50%) Volatility Regime Adaptation (ON/OFF) Risk Management Account Equity Risk % per Trade (default: 1%) ATR Trailing Stop (ON/OFF) Trail Multiplier (default: 2.0x) Visual Settings RVOL Period (20 bars) Fast/Slow EMA (9/21) Show/Hide each timeframe Dashboard positioning Use Cases Conservative Trading Set High Probability Threshold to 75%+ Enable Confirm-on-Close Only take Premium (🔥) entries Use 0.5% risk per trade Aggressive Trading Set Medium Probability Threshold to 50% Disable Confirm-on-Close (live signals) Take all High Probability entries Use 1.5-2% risk per trade Squeeze Specialist Focus exclusively on Premium entries (squeeze firing) Wait for "TIGHT SQUEEZE" status Monitor squeeze building alerts Enter immediately on fire signal Range Trading Use VWAP reversion entries only Lower probability threshold to 60% Tighter trailing stops (1.5x ATR) Focus on low volatility regime periods Performance Expectations Based on backtesting and design principles: Signal Quality: False signals reduced ~20-30% vs. single-indicator systems Win rate improvement ~5-10% from regime adaptation Average win size +15-20% from trailing stops Execution: Clear entry signals with exact prices Defined risk on every trade (stop loss) Consistent position sizing (% of account) Professional trade management Adaptability: Works across stocks, futures, forex, crypto Performs in trending and ranging markets Adjusts to changing volatility automatically Version History v0.1.2 (Current) Added squeeze momentum scoring (was calculated but unused) Implemented volatility regime adaptation Added confluence scoring (multi-indicator alignment) Enhanced squeeze strength classification (tight vs. loose) Improved reliability (confirm-on-close, NA-safe calculations) Added ATR trailing stops Added position sizing calculator Consolidated alert system v0.1.1 Initial release with 6-component probability system Basic TTM Squeeze integration Multi-timeframe analysis Entry strategy frameworks Limitations & Disclaimers ⚠️ Not a Holy Grail - No indicator is 100% accurate; losses will occur ⚠️ Requires Judgment - Use probability scores to guide, not replace, decision-making ⚠️ Backtesting Recommended - Test on paper/demo before live trading ⚠️ Market Dependent - Performance varies by asset class and market conditions ⚠️ Risk Management Essential - Always use stops; never risk more than you can afford to lose Installation & Setup Copy the Pine Script code Open TradingView chart Pine Editor → Paste code → "Add to Chart" Configure inputs for your trading style Set up alerts via TradingView alert menu Paper trade for 20+ signals before going live Future Development Roadmap Phase 3 (Planned) HTF alignment filter (require Daily + 4H confirmation) Session filters (avoid low-liquidity periods) Probability decay (signals lose value over time) Squeeze pre-alert enhancements Phase 4 (AI Integration) Feature vector export via webhooks ML-based parameter optimization Neural network regime classification Reinforcement learning for exits Support & Documentation Included Documentation: Complete changelog with implementation details Technical guide explaining all components Risk management best practices Alert configuration guide Best Practices: Start with default settings Enable Confirm-on-Close initially Use 1% risk per trade or less Focus on Premium (🔥) entries first Keep a trade journal to track performance Credits & Methodology Indicators Used: TTM Squeeze (John Carter) VWAP (Volume-Weighted Average Price) MACD (Gerald Appel) Exponential Moving Averages Average True Range (Wilder) Relative Volume Original Contributions: Multi-component probability weighting system Volatility regime adaptation framework Confluence scoring methodology Integrated risk management calculator Dashboard-centric visualization License & Terms Usage: Free for personal trading Modification: Open source, modify as needed Distribution: Credit original author if sharing modified versions Commercial Use: Contact author for licensing No Warranty: This indicator is provided "as-is" without guarantees of profitability. Trading involves substantial risk. Past performance does not guarantee future results. Quick Stats 📊 Components: 8 🎯 Probability Range: 0-100% 📈 Timeframes: 4 (customizable) 🔔 Alert Types: 8 ⚙️ Input Parameters: 30+ 📱 Dashboards: 4 💰 Entry Strategies: 2 (VWAP + Pullback) 🛡️ Risk Management: Integrated Status: Production Ready ✅ Version: 0.1.2 Last Updated: November 2025 Pine Script: v6 File Name: PA_AI_PRE_GO_v0.1.2_FIXED.pine One-Line Summary A professional-grade trading dashboard combining 8 technical components with TTM Squeeze analysis, volatility-adaptive thresholds, and integrated risk management—delivering quantified probability scores (0-100%) for every trade setup.
Pine Script® indicator
by DayTradingMD1992
Hybrid Linear Regression Channel with Fibonacci LevelsHow to Use the LRC Fib Hybrid Indicator (Detailed Guide) 1. Read the Trend 2.The thick blue line is the linear regression midline. If it’s sloping upward → uptrend (favor longs). If sloping downward → downtrend (favor shorts). The gray channel bounds are ±2 standard deviations (adjustable). 3. Understand Fibonacci Levels Fib lines are projected parallel to the regression slope using the channel width as 100%: Red dashed lines (0.0 to 0.786): Support zones in uptrends. Blue dashed line (0.5): Midline/neutral. Green dashed lines (1.0 to 2.618): Resistance zones in downtrends. Strongest levels: 0.618 (support) and 1.618 (resistance). 4. Buy Signal (Long Entry) Triggered when: Midline is rising (uptrend confirmed). Price crosses above a red Fib level (0.0–0.786). Volume > 20-period average (if confirmation enabled). Action: Enter long on the green triangle (▲). Stop Loss: Below the lower gray channel or recent swing low. Take Profit: At 1.0, 1.272, or 1.618 green Fibs. 5. Sell Signal (Short Entry) Triggered when: Midline is falling (downtrend). Price crosses below a green Fib level (1.272–2.618). Volume > average. Action: Enter short on the red triangle (▼). Stop Loss: Above the upper gray channel. Take Profit: At 1.0, 0.786, or 0.618 red Fibs. 6. Use the Info Table (Bottom-Right) Shows live prices of all Fib levels, current trend ("Up"/"Down"), and signal status ("BUY"/"SELL"/"None"). 7. Customize via Settings (Gear Icon) Regression Length: 50–200 (shorter = faster response). Std Dev Multiplier: 1.5–3.0 (tighter/wider channel). Toggle Fibs: Hide unused levels to declutter. Volume Confirmation: Turn off for pure price action. 8. Set Alerts Right-click chart → Add Alert → Select "Buy Signal" or "Sell Signal" → Enable popup/email/webhook. 9. Best Practices Best in trending markets (avoid chop). Wait for volume spike on bounce. Combine with higher timeframe bias. Use 0.618/1.618 as primary reversal zones. This indicator gives you adaptive trend, precise entries, volume filter, and dynamic targets — all in one clean overlay.
Pine Script® indicator
by TruSignal_Strategies
GROK ALTIN B2 ))GROK GOLD PRO V2 is a high-performance scalping strategy designed for XAUUSD on the 5-minute timeframe, operating with a fixed 1-lot position. It generates signals using EMA 9/21 crossover, RSI above/below 50, and volume spikes, while an ATR × 2.0 dynamic stop protects against volatility. Profits are locked in three steps (+$20, +$50, +$100), with each exit triggering real-time phone alerts showing entry, exit price, and profit. One pip movement equals $100 P&L. The strategy delivers a 92%+ win rate, average profit of +$4,432 per trade, and max drawdown of -$1,280. Simple, transparent, and fully automated.
Pine Script® strategy
by feritgerisgen
GROK ALTIN A1 BY FGGROK GOLD PRO V2 is a high-performance scalping strategy designed for XAUUSD on the 5-minute timeframe, operating with a fixed 1-lot position. It generates signals using EMA 9/21 crossover, RSI above/below 50, and volume spikes, while an ATR × 2.0 dynamic stop protects against volatility. Profits are locked in three steps (+$20, +$50, +$100), with each exit triggering real-time phone alerts showing entry, exit price, and profit. One pip movement equals $100 P&L. The strategy delivers a 92%+ win rate, average profit of +$4,432 per trade, and max drawdown of -$1,280. Simple, transparent, and fully automated.
Pine Script® strategy
by feritgerisgen
Pinbar MTF - No Repaint# Pinbar MTF - No Repaint Indicator ## Complete Technical Documentation --- ## 📊 Overview **Pinbar MTF (Multi-Timeframe) - No Repaint** is a professional-grade TradingView Pine Script indicator designed to detect high-probability pinbar reversal patterns with advanced filtering systems. The indicator is specifically engineered to be **100% non-repainting**, making it reliable for both live trading and backtesting. ### Key Features ✅ **Non-Repainting** - Signals only appear AFTER bar closes, never disappear ✅ **Three-Layer Filter System** - ATR, SWING, and RSI filters ✅ **Automatic SL/TP Calculation** - Based on risk:reward ratios ✅ **Real-time Alerts** - TradingView notifications for all signals ✅ **Visual Trade Management** - Lines, labels, and areas for entries, stops, and targets ✅ **Backtesting Ready** - Reliable historical data for strategy testing --- ## 🎯 What is a Pinbar? A **Pinbar (Pin Bar/Pinocchio Bar)** is a single candlestick pattern that indicates a potential price reversal: ### Bullish Pinbar (BUY Signal) - **Long lower wick** (rejection of lower prices) - **Small body at the top** of the candle - Shows buyers rejected sellers' attempt to push price down - Forms at support levels or swing lows - Entry signal for LONG positions ### Bearish Pinbar (SELL Signal) - **Long upper wick** (rejection of higher prices) - **Small body at the bottom** of the candle - Shows sellers rejected buyers' attempt to push price up - Forms at resistance levels or swing highs - Entry signal for SHORT positions --- ## 🔧 How the Indicator Works ### 1. **Pinbar Detection Logic** The indicator analyzes the **previous closed bar ** to identify pinbar patterns: ``` Bullish Pinbar Requirements: - Lower wick > 72% of total candle range (adjustable) - Upper wick < 28% of total candle range - Close > Open (bullish candle body) Bearish Pinbar Requirements: - Upper wick > 72% of total candle range (adjustable) - Lower wick < 28% of total candle range - Close < Open (bearish candle body) ``` **Why check ?** By analyzing the previous completed bar, we ensure the pattern is fully formed and won't change, preventing repainting. --- ### 2. **Three-Layer Filter System** #### 🔍 **Filter #1: ATR (Average True Range) Filter** - **Purpose**: Ensures the pinbar has significant size - **Function**: Only signals if pinbar range ≥ ATR value - **Benefit**: Filters out small, insignificant pinbars - **Settings**: - Enable/Disable toggle - ATR Period (default: 7) **Example**: If ATR = 50 pips, only pinbars with 50+ pip range will signal. --- #### 🔍 **Filter #2: SWING Filter** (Always Active) - **Purpose**: Confirms pinbar forms at swing highs/lows - **Function**: Validates the pinbar is an absolute high/low - **Benefit**: Identifies true reversal points - **Settings**: - Swing Candles (default: 3) **How it works**: - For bullish pinbar: Checks if low is lowest of past 3 bars - For bearish pinbar: Checks if high is highest of past 3 bars **Example**: With 3 swing candles, a bullish pinbar must have the lowest low among the last 3 bars. --- #### 🔍 **Filter #3: RSI (Relative Strength Index) Filter** - **Purpose**: Confirms momentum conditions - **Function**: Prevents signals in extreme momentum zones - **Benefit**: Avoids counter-trend trades - **Settings**: - Enable/Disable toggle - RSI Period (default: 7) - RSI Source (Close, Open, High, Low, HL2, HLC3, OHLC4) - Overbought Level (default: 70) - Oversold Level (default: 30) **Logic**: - Bullish Pinbar: Only signals if RSI < 70 (not overbought) - Bearish Pinbar: Only signals if RSI > 30 (not oversold) --- ### 3. **Stop Loss Calculation** Two methods available: #### Method A: ATR-Based Stop Loss (Recommended) ``` Bullish Pinbar: SL = Pinbar Low - (1 × ATR) Bearish Pinbar: SL = Pinbar High + (1 × ATR) ``` **Benefit**: Dynamic stops that adapt to market volatility #### Method B: Fixed Pips Stop Loss ``` Bullish Pinbar: SL = Pinbar Low - (Fixed Pips) Bearish Pinbar: SL = Pinbar High + (Fixed Pips) ``` **Settings**: - Calculate Stop with ATR (toggle) - Stop Pips without ATR (default: 5) --- ### 4. **Take Profit Calculation** Take Profit is calculated based on Risk:Reward ratio: ``` Bullish Trade: TP = Entry + (Entry - SL) × Risk:Reward Ratio Bearish Trade: TP = Entry - (SL - Entry) × Risk:Reward Ratio ``` **Example**: - Entry: 1.2000 - SL: 1.1950 (50 pip risk) - RR: 2:1 - TP: 1.2100 (100 pip reward = 50 × 2) **Settings**: - Risk:Reward Ratio (default: 1.0, range: 0.1 to 10.0) --- ## 📈 Visual Elements ### On-Chart Displays 1. **Signal Markers** - 🟢 **Green Triangle Up** = Bullish Pinbar (BUY) - 🔴 **Red Triangle Down** = Bearish Pinbar (SELL) - Placed directly on the pinbar candle 2. **Entry Labels** - Green "BUY" label with entry price - Red "SELL" label with entry price - Shows exact entry level 3. **Stop Loss Lines** - 🔴 Red horizontal line - "SL" label - Extends 20 bars forward 4. **Take Profit Lines** - 🟢 Green horizontal line - "TP" label - Extends 20 bars forward 5. **Risk/Reward Areas** (Optional) - Red shaded box = Risk zone (Entry to SL) - Green shaded box = Reward zone (Entry to TP) - Visual risk:reward visualization 6. **Info Table** (Top Right) - Displays current settings - Shows filter status (ON/OFF) - Real-time RSI value - Quick reference panel --- ## 🔔 Alert System Three alert types available: ### 1. Combined Alert: "Pinbar Signal (Any Direction)" - Fires for BOTH bullish and bearish pinbars - **Best for**: General monitoring - **Message**: "Pinbar Signal Detected on {TICKER} at {PRICE}" ### 2. Bullish Alert: "Bullish Pinbar Alert" - Fires ONLY for BUY signals - **Best for**: Long-only strategies - **Message**: "BUY Signal on {TICKER} at {PRICE}" ### 3. Bearish Alert: "Bearish Pinbar Alert" - Fires ONLY for SELL signals - **Best for**: Short-only strategies - **Message**: "SELL Signal on {TICKER} at {PRICE}" --- ## ⚙️ Input Parameters Reference ### **Filters Group** | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | ATR Filter on Pinbar Range? | ✅ ON | Boolean | Enable/disable ATR filter | | ATR Period | 7 | 1+ | Lookback period for ATR calculation | | Swing Candles | 3 | 1+ | Bars to check for swing high/low | | RSI Filter on Pinbar? | ❌ OFF | Boolean | Enable/disable RSI filter | | RSI Period | 7 | 2+ | Lookback period for RSI calculation | | RSI Source | Close | Multiple | Price data for RSI (Close/Open/High/Low/etc) | | RSI Overbought Level | 70 | 50-100 | Upper threshold for RSI filter | | RSI Oversold Level | 30 | 0-50 | Lower threshold for RSI filter | ### **Pinbar Detection Group** | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | Shadow % vs Body | 72 | 50-95 | Minimum wick size as % of total range | ### **Visualization Group** | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | Show SL and TP Lines? | ✅ ON | Boolean | Display stop loss and take profit lines | | Show SL and TP Area? | ❌ OFF | Boolean | Show shaded risk/reward boxes | ### **Risk Management Group** | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | Risk:Reward Ratio | 1.0 | 0.1-10.0 | Target profit vs risk (1.0 = 1:1, 2.0 = 1:2) | | Calculate Stop with ATR? | ✅ ON | Boolean | Use ATR for stop calculation | | Stop Pips without ATR | 5 | 1+ | Fixed pip stop when ATR disabled | --- ## 🚫 Non-Repainting Architecture ### What is Repainting? **Repainting** occurs when an indicator's historical signals differ from what appeared in real-time. This makes backtesting unreliable and can lead to false confidence in a strategy. ### How This Indicator Prevents Repainting 1. **Closed Bar Analysis** - All calculations use ` ` offset (previous bar) - Only analyzes COMPLETED candles - Signals appear on the bar AFTER the pinbar closes 2. **Confirmed Swing Points** - Waits for sufficient bar history before signaling - Only checks historical bars that cannot change - Prevents premature swing detection 3. **Static Alert Timing** - Alerts fire only after bar completion - No conditional logic that changes historically - Same results in replay mode and live trading ### Verification Method To verify non-repainting behavior: 1. Apply indicator to chart 2. Note signal locations and prices 3. Refresh browser / reload chart 4. **Signals remain in exact same locations** --- ## 💼 Trading Strategy Guidelines ### Entry Rules **For Bullish Pinbar (LONG):** 1. Wait for green triangle to appear 2. Enter at close of pinbar (shown in label) 3. Alternative: Enter on break of pinbar high 4. Place stop loss at red SL line 5. Set target at green TP line **For Bearish Pinbar (SHORT):** 1. Wait for red triangle to appear 2. Enter at close of pinbar (shown in label) 3. Alternative: Enter on break of pinbar low 4. Place stop loss at red SL line 5. Set target at green TP line ### Risk Management - **Position Sizing**: Risk only 1-2% of account per trade - **Stop Loss**: Always use the calculated SL (never move it wider) - **Take Profit**: Use calculated TP or trail stop after 1:1 RR - **Multiple Timeframes**: Confirm signals on higher timeframe ### Best Practices ✅ **DO:** - Wait for bar to close before entering - Trade in direction of higher timeframe trend - Use on liquid markets with clear support/resistance - Combine with price action analysis - Keep a trading journal ❌ **DON'T:** - Enter before bar closes (prevents seeing full pattern) - Trade against strong trends - Ignore the filters (they improve win rate) - Risk more than 2% per trade - Trade every signal (be selective) --- ## 📊 Backtesting & Data Export ### Available Data Points The indicator exports these values for strategy development: | Output | Description | |--------|-------------| | Bullish Signal | 1 = BUY signal, 0 = No signal | | Bearish Signal | 1 = SELL signal, 0 = No signal | | Bull SL | Stop loss level for long trades | | Bull TP | Take profit level for long trades | | Bull Entry | Entry price for long trades | | Bear SL | Stop loss level for short trades | | Bear TP | Take profit level for short trades | | Bear Entry | Entry price for short trades | ### How to Use in Strategy These values can be accessed by Pine Script strategies using: ```pine indicator_values = request.security(syminfo.tickerid, timeframe.period, ) ``` --- ## 🎓 Understanding the Filters ### Why Use Multiple Filters? Single-indicator systems often generate too many false signals. This indicator uses a **confluence approach**: 1. **Pinbar Pattern** = Price rejection detected 2. **+ SWING Filter** = Rejection at key level 3. **+ ATR Filter** = Significant move 4. **+ RSI Filter** = Favorable momentum **Result**: Higher probability setups with better risk:reward ### Filter Optimization **Conservative Settings** (Fewer, Higher Quality Signals): - ATR Filter: ON - Swing Candles: 5 - RSI Filter: ON - Shadow %: 75% **Aggressive Settings** (More Signals, More Noise): - ATR Filter: OFF - Swing Candles: 2 - RSI Filter: OFF - Shadow %: 65% **Balanced Settings** (Recommended): - ATR Filter: ON - Swing Candles: 3 - RSI Filter: OFF (or ON for trending markets) - Shadow %: 72% --- ## 🔍 Troubleshooting ### "No Signals Appearing" **Possible Causes:** 1. Filters are too strict 2. No pinbars forming on chart 3. Insufficient bar history **Solutions:** - Reduce Shadow % to 65% - Reduce Swing Candles to 2 - Disable ATR or RSI filters temporarily - Check that chart has enough data loaded ### "Too Many Signals" **Solutions:** - Enable ATR filter - Increase Swing Candles to 4-5 - Enable RSI filter - Increase Shadow % to 75-80% ### "Signals Appearing Late" **This is normal behavior!** The indicator: - Analyzes previous closed bar - Signals appear on the bar AFTER the pinbar - This is what prevents repainting - Signal latency is 1 bar (by design) --- ## 📝 Technical Specifications **Indicator Type:** Overlay (displays on price chart) **Pine Script Version:** 5 **Max Labels:** 500 **Max Lines:** 500 **Repainting:** None (100% non-repainting) **Data Window Values:** 8 exported values **Alert Types:** 3 (Combined, Bullish, Bearish) **Performance:** - Lightweight script (fast execution) - Works on all timeframes - Compatible with all markets (Forex, Crypto, Stocks, Futures) - No data snooping bias --- ## 🎯 Use Cases ### 1. **Swing Trading** - Timeframe: Daily, 4H - Filter Settings: All enabled - Best for: Catching major reversals ### 2. **Day Trading** - Timeframe: 15m, 1H - Filter Settings: ATR + SWING only - Best for: Intraday reversals ### 3. **Scalping** - Timeframe: 5m, 15m - Filter Settings: SWING only (aggressive) - Best for: Quick reversals (requires experience) ### 4. **Position Trading** - Timeframe: Weekly, Daily - Filter Settings: All enabled + high RR (2:1 or 3:1) - Best for: Long-term trend reversal catches --- ## 🏆 Advantages Over Other Pinbar Indicators ✅ **Guaranteed Non-Repainting** - Many pinbar indicators repaint; this one never does ✅ **Automatic SL/TP** - No manual calculation needed ✅ **Multi-Layer Filtering** - Reduces false signals significantly ✅ **Visual Trade Management** - Clear entry, stop, and target levels ✅ **Flexible Configuration** - Adaptable to any trading style ✅ **Alert System** - Never miss a setup ✅ **Backtesting Ready** - Reliable historical data ✅ **Professional Grade** - Suitable for live trading --- ## 📚 Educational Resources ### Recommended Reading on Pinbars - "The Pin Bar Trading Strategy" by Nial Fuller - "Price Action Trading" by Al Brooks - TradingView Education: Price Action Patterns ### Practice Recommendations 1. Paper trade signals for 20+ trades before live trading 2. Backtest on different timeframes and markets 3. Keep detailed records of all trades 4. Analyze winning vs losing setups 5. Refine filter settings based on results --- ## ⚖️ Disclaimer This indicator is a tool for technical analysis and does not guarantee profits. Trading involves substantial risk of loss. Past performance is not indicative of future results. - Always use proper risk management - Never risk more than you can afford to lose - Consider your trading experience and objectives - Seek independent financial advice if needed --- ## 📧 Version Information **Current Version:** 1.0 **Last Updated:** 2024 **Compatibility:** TradingView Pine Script v5 **Status:** Production Ready --- ## 🔄 Future Enhancements (Potential) Possible future additions: - Multi-timeframe confirmation option - Volume filter integration - Customizable color schemes - Win rate statistics display - Partial profit taking levels - Trailing stop functionality --- ## 📖 Quick Start Guide ### 5-Minute Setup 1. **Add to Chart** - Open TradingView - Go to Pine Editor - Paste the code - Click "Add to Chart" 2. **Configure Settings** - Open indicator settings (gear icon) - Start with default settings - Enable "Show SL and TP Lines" 3. **Set Alert** - Right-click indicator name - Click "Add Alert" - Select "Pinbar Signal (Any Direction)" - Configure notification method 4. **Test** - Scroll back on chart - Verify signals make sense - Check that signals don't repaint 5. **Trade** (After Practice!) - Wait for alert - Verify signal quality - Enter, place SL/TP - Manage trade --- ## 🎯 Final Thoughts The **Pinbar MTF - No Repaint** indicator is designed for serious traders who value: - **Reliability** over flashy signals - **Quality** over quantity - **Honesty** over false promises This indicator will NOT: - Make you rich overnight - Win every trade - Replace proper trading education This indicator WILL: - Identify high-probability reversal setups - Save you analysis time - Provide consistent, non-repainting signals - Help you develop a systematic trading approach **Success in trading comes from:** 1. Proper education (60%) 2. Risk management (30%) 3. Technical tools like this indicator (10%) Use this tool as part of a complete trading plan, not as a standalone solution.
Pine Script® indicator
by Makshels
Uptrick: Volume Weighted BandsIntroduction This indicator, Uptrick: Volume Weighted Bands, overlays dynamic, volume-informed trend channels directly on the chart. By fusing price and volume data through volume-weighted and exponential moving averages, the script forms a core trend line with adaptive bandwidth controlled by volatility. It is designed to help traders identify trend direction, breakout entries, and extended conditions that may warrant take-profits or pullback re-entries. Overview The Volume Weighted Bands system is built around a trend line calculated by averaging a Volume Weighted Moving Average (VWMA) and an Exponential Moving Average (EMA), both over a configurable lookback period. This hybrid trend baseline is then smoothed further and expanded into dynamic upper and lower bands using an Average True Range (ATR) multiplier. These bands adapt with market volatility and shift color based on prevailing price action, helping traders quickly identify bullish, bearish, or neutral conditions. Originality and Unique Features This script introduces originality by blending both price and volume in the core trend calculation, a technique that is more responsive than traditional moving average bands. Its multi-mode visualization (cloud, single-band, or line-only), combined with selective buy/sell signals, makes it flexible for discretionary and algorithmic strategies alike. Optional modules for take-profit signals based on z-score deviation and RSI slope, as well as buy-back detection logic with cooldown filters, offer practical tools for managing trades beyond simple entries. Explanation of Inputs Every user input in this script is included to give the trader control over behavior and visual presentation: Trend Length (len): Defines the lookback window for both the VWMA and EMA, controlling the sensitivity of the core trend baseline. A lower value makes the bands more reactive, while a higher value smooths out short-term noise. Extra Smoothing (smoothLen): Applies an additional EMA to the blended VWMA/EMA average. This second-level smoothing ensures the central trend line reacts gradually to shifts in price. Band Width (ATR Multiplier) (bandMult): Multiplies the ATR to create the width of the upper and lower bands around the trend line. Larger values widen the bands, capturing more volatility, while smaller values narrow them. ATR Length (atrLen): Sets the length of the ATR used in calculating band width and signal offsets. Longer values produce smoother band boundaries. Show Buy/Sell Signals (showSignals): Toggles the primary crossover/crossunder entry signals, which are labeled when the close crosses the upper or lower band. Visual Mode (visualMode): Allows selection between three display modes: --> Cloud: Shows both bands and the central trend line with a shaded background. --> Single Band: Displays only the active (upper or lower) band depending on trend state, with gradient fill to price. --> Line Only: Shows only the trend line for a minimal visual profile. Take Profit Signals (enableTP): Enables a z-score-based profit-taking signal system. Signals occur when price deviates significantly from the trend line and RSI confirms exhaustion. TP Z-Score Threshold (tpThreshold): Sets the z-score deviation required to trigger a take-profit signal. Higher values reduce the frequency of signals, focusing on more extreme moves. Re-Entries (enableBuyBack): Enables logic to signal when price reverts into the band after an initial breakout, suggesting a possible re-entry or pullback setup. Buy Back Cooldown (bars) (buyBackCooldown): Defines a minimum bar count before a new buy-back signal is allowed, preventing rapid retriggering in choppy conditions. Buy Offset and Sell Offset: Hidden inputs used to vertically adjust the placement of the Buy ("𝓤𝓹") and Sell ("𝓓𝓸𝔀𝓷") labels relative to the bands. These use ATR units to maintain proportionality across different instruments and timeframes. Take-Profit Signal Module The take-profit module uses a z-score of the distance between price and the trend line to detect extended conditions. In bullish trends, a signal appears when price is well above the band and RSI indicates exhaustion; the opposite applies for bearish conditions. A boolean flag is used to prevent retriggering until RSI resets. These signals are plotted with minimalist “X” markers near recent highs or lows, based on whether the market is extended upward or downward. Re-Entry Logic The re-entry system identifies instances where price momentarily dips or spikes into the opposite band but closes back inside, implying a continuation of the prevailing trend. This module can be particularly useful for traders managing entries after brief pullbacks. A built-in cooldown period helps filter out noise and prevents signal overloading during fast markets. Visual markers are shown as upward or downward arrows near the relevant candle wicks. How to Use This Indicator The basic usage of this indicator follows a directional, signal-driven approach. When a buy signal appears, it suggests entering a long position. The recommended stop loss placement is below the lower band, allowing for some breathing space to accommodate natural volatility. As the position progresses, take partial profits—typically 10% to 15% of the position—each time a take-profit signal (marked with an "X") is shown on the chart. An optional feature is the buy-back signal, which can be used to re-enter after partial exits or missed entries. Utilizing this can help reduce losses during false breakouts or trend reversals by scaling in more gradually. However, it also means that in strong, clean trends, the full position may not be captured from the start, potentially reducing the total return. It is up to the trader to decide whether to enter fully on the initial signal or incrementally using buy-backs. When a sell signal appears, the strategy advises fully exiting any long positions and immediately switching to a short position. The short trade follows the same logic: place your stop loss above the upper band with some margin, and again, take partial profits at each take-profit signal. Visual Presentation and Signal Labels All signals are plotted with clean, minimal labels that avoid clutter, and are color-coded using a custom palette designed to remain clear across light and dark chart themes. Bullish trends are marked in teal and bearish trends in magenta. Candles and wicks are also colored accordingly to align price action with the detected trend state. Buy and sell entries are marked with "𝓤𝓹" and "𝓓𝓸𝔀𝓷" labels. Summary In summary, the Uptrick: Volume Weighted Bands indicator provides a versatile, visually adaptive trend and volatility tool that can serve multiple styles of trading. Through its integration of price, volume, and volatility, along with modular take-profit and buy-back signaling, it aims to provide actionable structure across a range of market conditions. Disclaimer This indicator is for educational purposes only. Trading involves risk, and past performance does not guarantee future results. Always test strategies before applying them in live markets.
Pine Script® indicator
by Uptrick
23
Candle Breakout StrategyShort description (one-liner) Candle Breakout Strategy — identifies a user-specified candle (UTC time), draws its high/low range, then enters on breakouts with configurable stop-loss, take-profit (via Risk:Reward) and optional alerts. Full description (ready-to-paste) Candle Breakout Strategy Version 1.0 — Strategy script (Pine v5) Overview The Candle Breakout Strategy automatically captures a single "range candle" at a user-specified UTC time, draws its high/low as a visible box and dashed level lines, and waits for a breakout. When price closes above the range high it enters a Long; when price closes below the range low it enters a Short. Stop-loss is placed at the opposite range boundary and take-profit is calculated with a user-configurable Risk:Reward multiplier. Alerts for entries can be enabled. This strategy is intended for breakout style trading where a clearly defined intraday range is established at a fixed time. It is simple, transparent and easy to adapt to multiple symbols and timeframes. How it works (step-by-step) On every bar the script checks the current UTC time. When the first bar that matches the configured Target Hour:Target Minute (UTC) appears, the script records that candle’s high and low. This defines the breakout range. A box and dashed lines are drawn on the chart to display the range and extended to the right while the range is active. The script then waits for price to close outside the box: Close > Range High → Long entry Close < Range Low → Short entry When an entry triggers: Stop-loss = opposite range boundary (range low for longs, range high for shorts). Take-profit = entry ± (risk × Risk:Reward). Risk is computed as the distance between entry price and stop-loss. After entry the range becomes inactive (waitingForBreakout = false) until the next configured target time. Inputs / Parameters Target Hour (UTC) — the hour (0–23) in UTC when the range candle is detected. Target Minute — minute (0–59) of the target candle. Risk:Reward Ratio — multiplier for computing take profit from risk (0.5–10). Example: 2 means TP = entry + 2×risk. Enable Alerts — turn on/off entry alerts (string message sent once per bar when an entry occurs). Show Last Box Only (internal behavior) — when enabled the previous box is deleted at the next range creation so only the most recent range is visible (default behavior in the script). Visuals & On-chart Info A semi-transparent blue box shows the recorded range and extends to the right while active. Dashed horizontal lines mark the range high and low. On-chart shapes: green triangle below bar for Long signals, red triangle above bar for Short signals. An information table (top-right) displays: Target Time (UTC) Active Range (Yes / No) Range High Range Low Risk:Reward Alerts If Enable Alerts is on, the script sends an alert with the following formats when an entry occurs: Long alert: 🟢 LONG SIGNAL Entry Price: Stop Loss: Take Profit: Short alert: 🔴 SHORT SIGNAL Entry Price: Stop Loss: Take Profit: Use TradingView's alert dialog to create alerts based on the script — select the script’s alert condition or use the alert() messages. Recommended usage & tips Timeframe: This strategy works on any timeframe but the definition of "candle at target time" depends on the chart timeframe. For intraday breakout styles, use 1m — 60m charts depending on the session you want to capture. Target Time: Choose a time that is meaningful for the instrument (e.g., market open, economic release, session overlap). All times are handled in UTC. Position Sizing: The script’s example uses strategy.percent_of_equity with 100% default — change default_qty_value or strategy settings to suit your risk management. Filtering: Consider combining this breakout with trend filters (EMA, ADX, etc.) to reduce false breakouts. Backtesting: Always backtest over a sufficiently large and recent sample. Pay attention to slippage and commission settings in TradingView’s strategy tester. Known behavior & limitations The script registers the breakout on close outside the recorded range. If you prefer intrabar breakout rules (e.g., high/low breach without close), you must adjust the condition accordingly. The recorded range is taken from a single candle at the exact configured UTC time. If there are missing bars or the chart timeframe doesn't align, the intended candle may differ — choose the target time and chart timeframe consistently. Only a single active position is allowed at a time (the script checks strategy.position_size == 0 before entries). Example setups EURUSD (Forex): Target Time 07:00 UTC — captures London open range. Nifty / Index: Target Time 09:15 UTC — captures local session open range. Crypto: Target Time 00:00 UTC — captures daily reset candle for breakout. Risk disclaimer This script is educational and provided as-is. Past performance is not indicative of future results. Use proper risk management, test on historical data, and consider slippage and commissions. Do not trade real capital without sufficient testing. Change log v1.0 — Initial release: range capture, box and level drawing, long/short entry by close breakout, SL at opposite boundary, TP via Risk:Reward, alerts, info table. If you want, I can also: Provide a short README version (2–3 lines) for the TradingView “Short description” field. Add a couple of suggested alert templates for the TradingView alert dialog (if you want alerts that include variable placeholders). Convert the disclaimer into multiple language versions.
Pine Script® strategy
by hashem-trader
Mean Reversion Trading V1Overview This is a simple mean reversion strategy that combines RSI, Keltner Channels, and MACD Histograms to predict reversals. Current parameters were optimized for NASDAQ 15M and performance varies depending on asset. The strategy can be optimized for specific asset and timeframe. How it works Long Entry (All must be true): 1. RSI < Lower Threshold 2. Close < Lower KC Band 3. MACD Histogram > 0 and rising 4. No open trades Short Entry (All must be true): 1. RSI > Upper Threshold 2. Close > Upper KC Band 3. MACD Histogram < 0 and falling 4. No open trades Long Exit: 1. Stop Loss: Average position size x ( 1 - SL percent) 2. Take Profit: Average position size x ( 1 + TP percent) 3. MACD Histogram crosses below zero Short Exit: 1. Stop Loss: Average position size x ( 1 + SL percent) 2. Take Profit: Average position size x ( 1 - TP percent) 3. MACD Histogram crosses above zero Settings and parameters are explained in the tooltips. Important Initial capital is set as 100,000 by default and 100 percent equity is used for trades
Pine Script® strategy
by Sivchay
DTR & ATR with live zonesThis indicator is designed to help traders gauge the day's volatility in real-time. It compares the current Daily True Range (DTR)—the distance between the session's high and low—to the historical Average True Range (ATR). The main purpose is to project potential price levels where the market might reach based on its average volatility. These levels (100% ATR, 150%, 200%, etc.) can be used as price targets. For instance, if you're in a long trade, you might consider taking partial or full profits as the price approaches these upper ATR extension levels. The indicator is highly customisable, allowing you to control the appearance of the ATR lines, zones, and labels to fit your charting preferences. Core Concepts: ATR and DTR To use this indicator effectively, it's important to understand its two main components: Average True Range (ATR): This is a classic technical analysis indicator that measures market volatility. It calculates the average range of price movement over a specific period (e.g., 14 days). A higher ATR means the price is, on average, moving more, while a low ATR indicates less volatility. This script uses a higher timeframe ATR (e.g., Daily) to establish a stable volatility baseline for the current trading day. Daily True Range (DTR): This is simply the difference between the current trading session's highest high and lowest low (session high - session low). It tells you how much the price has actually moved so far today. The indicator's logic revolves around comparing the live, unfolding DTR to the historical, baseline ATR. An on-screen table conveniently shows this comparison as a percentage, to show how volatile the day has been. How It Works: The Dynamic & Locked Mechanism The most clever part of this indicator is how it draws the ATR levels. It operates in two distinct phases during the trading session: Phase 1: Dynamic Expansion (Before DTR meets ATR) At the start of the session, the DTR is small. The indicator calculates the remaining range needed to "complete" the 100% ATR level (difference = avg_atr - dtr). It then adds this remaining amount to the session high and subtracts it from the session low. This creates a "floating" 100% ATR range that expands dynamically as the session high or low is extended. Phase 2: The Lock-in (After DTR meets or exceeds ATR) Once the day's range (DTR) becomes equal to or greater than the avg_atr, the day has met its "expected" volatility. At this point, the levels lock in place. The indicator intelligently determines the anchor point for the locked range. Once this primary 100% ATR range is established (either dynamically or locked), the script projects the other levels (150%, 200%, 250%, and 300%) by adding or subtracting multiples of the avg_atr from this base. How to Use It for Trading The primary use of this indicator is to set logical, volatility-based price targets. Setting Profit Targets: If you enter a long position, the upper ATR levels (100%, 150%, 200%) serve as excellent areas to consider taking profits. A move to the 200% or 250% level often signifies an overextended or "exhaustion" move, making it a high-probability exit zone. For short positions, the lower ATR levels serve the same purpose. Assessing Intraday Momentum: The on-screen table tells you how much of the expected daily range has been used. If it's early in the session and the DTR is only at 30% of the ATR, you can anticipate more significant price movement is likely to come. Conversely, if the DTR is already at 150% of ATR, the bulk of the day's move may already be complete. Mean Reversion Signals: If the price pushes to an extreme level (e.g., 250% ATR) and shows signs of stalling (e.g., bearish divergence on an oscillator), it could signal a potential reversal or pullback, offering an opportunity for a counter-trend trade. Key Settings ATR Length & Smoothing Type: These settings control how the baseline ATR is calculated. The default 14 period and RMA smoothing are standard, but you can adjust them to your preference. Session Settings: This is crucial. You must set the Market Session and Time Zone to match the primary trading hours of the asset you are analysing (e.g., "0930-1600" for the NYSE session). Show Lines / Show Labels / Show Zones: The script gives you full control over the visual display. You can toggle each ATR level's lines, labels, and background zones individually to avoid a cluttered chart and focus only on the levels that matter to your strategy.
Pine Script® indicator
by Mereep01
11
FluxGate Daily Swing StrategySummary in one paragraph FluxGate treats long and short as different ecosystems. It runs two independent engines so the long side can be bold when the tape rewards upside persistence while the short side can stay selective when downside is messy. The core reads three directional drivers from price geometry then removes overlap before gating with clean path checks. The complementary risk module anchors stop distance to a higher timeframe ATR so a unit means the same thing on SPY and BTC. It can add take profit breakeven and an ATR trail that only activates after the trade earns it. If a stop is hit the strategy can re enter in the same direction on the next bar with a daily retry cap that you control. Add it to a clean chart. Use defaults to see the intended behavior. For conservative workflows evaluate on bar close. Scope and intent • Markets. Large cap equities and liquid ETFs major FX pairs US index futures and liquid crypto pairs • Timeframes. From one minute to daily • Default demo in this publication. SPY on one day timeframe • Purpose. Reduce false starts without missing sustained trends by fusing independent drivers and suppressing activity when the path is noisy • Limits. This is a strategy. Orders are simulated on standard candles. Non standard chart types are not supported for execution Originality and usefulness • Unique fusion. FluxGate extracts three drivers that look at price from different angles. Direction measures slope of a smoothed guide and scales by realized volatility so a point of slope does not mean a different thing on different symbols. Persistence looks at short sign agreement to reward series of closes that keep direction. Curvature measures the second difference of a local fit to wake up during convex pushes. These three are then orthonormalized so a strong reading in one does not double count through another. • Gates that matter. Efficiency ratio prefers direct paths over treadmills. Entropy turns up versus down frequency into an information read. Light fractal cohesion punishes wrinkly paths. Together they slow the system in chop and allow it to open up when the path is clean. • Separate long and short engines. Threshold tilts adapt to the skew of score excursions. That lets long engage earlier when upside distribution supports it and keeps short cautious where downside surprise and venue frictions are common. • Practical risk behavior. Stops are ATR anchored on a higher timeframe so the unit is portable. Take profit is expressed in R so two R means the same concept across symbols. Breakeven and trailing only activate after a chosen R so early noise does not squeeze a good entry. Re entry after stop lets the system try again without you babysitting the chart. • Testability. Every major window and the aggression controls live in Inputs. There is no hidden magic number. Method overview in plain language Base measures • Return basis. Natural log of close over prior close for stability and easy aggregation through time. Realized volatility is the standard deviation of returns over a moving window. • Range basis for risk. ATR computed on a higher timeframe anchor such as day week or month. That anchor is steady across venues and avoids chasing chart specific quirks. Components • Directional intensity. Use an EMA of typical price as a guide. Take the day to day slope as raw direction. Divide by realized volatility to get a unit free measure. Soft clip to keep outliers from dominating. • Persistence. Encode whether each bar closed up or down. Measure short sign agreement so a string of higher closes scores better than a jittery sequence. This favors push continuity without guessing tops or bottoms. • Curvature. Fit a short linear regression and compute the second difference of the fitted series. Strong curvature flags acceleration that slope alone may miss. • Efficiency gate. Compare net move to path length over a gate window. Values near one indicate direct paths. Values near zero indicate treadmill behavior. • Entropy gate. Convert up versus down frequency into a probability of direction. High entropy means coin toss. The gate narrows there. • Fractal cohesion. A light read of path wrinkliness relative to span. Lower cohesion reduces the urge to act. • Phase assist. Map price inside a recent channel to a small signed bias that grows with confidence. This helps entries lean toward the right half of the channel without becoming a breakout rule. • Shock control. Compare short volatility to long volatility. When short term volatility spikes the shock gate temporarily damps activity so the system waits for pressure to normalize. Fusion rule • Normalize the three drivers after removing overlap • Blend with weights that adapt to your aggression input • Multiply by the gates to respect path quality • Smooth just enough to avoid jitter while keeping timing responsive • Compute an adaptive mean and deviation of the score and set separate long and short thresholds with a small tilt informed by skew sign • The result is one long score and one short score that can cross their thresholds at different times for the same tape which is a feature not a bug Signal rule • A long suggestion appears when the long score crosses above its long threshold while all gates are active • A short suggestion appears when the short score crosses below its short threshold while all gates are active • If any required gate is missing the state is wait • When a position is open the status is in long or in short until the complementary risk engine exits or your entry mode closes and flips Inputs with guidance Setup Long • Base length Long. Master window for the long engine. Typical range twenty four to eighty. Raising it improves selectivity and reduces trade count. Lowering it reacts faster but can increase noise • Aggression Long. Zero to one. Higher values make thresholds more permissive and shorten smoothing Setup Short • Base length Short. Master window for the short engine. Typical range twenty eight to ninety six • Aggression Short. Zero to one. Lower values keep shorts conservative which is often useful on upward drifting symbols Entries and UI • Entry mode. Both or Long only or Short only Complementary risk engine • Enable risk engine. Turns on bracket exits while keeping your signal logic untouched • ATR anchor timeframe. Day Week or Month. This sets the structural unit of stop distance • ATR length. Default fourteen • Stop multiple. Default one point five times the anchor ATR • Use take profit. On by default • Take profit in R. Default two R • Breakeven trigger in R. Default one R Usage recipes Intraday trend focus • Entry mode Both • ATR anchor Week • Aggression Long zero point five Aggression Short zero point three • Stop multiple one point five Take profit two R • Expect fewer trades that stick to directional pushes and skip treadmill noise Intraday mean reversion focus • Session windows optional if you add them in your copy • ATR anchor Day • Lower aggression both sides • Breakeven later and trailing later so the first bounce has room • This favors fade entries that still convert into trends when the path stays clean Swing continuation • Signal timeframe four hours or one day • Confirm timeframe one day if you choose to include bias • ATR anchor Week or Month • Larger base windows and a steady two R target • This accepts fewer entries and aims for larger holds Properties visible in this publication • Initial capital 25.000 • Base currency USD • Default order size percent of equity value three - 3% of the total capital • Pyramiding zero • Commission zero point zero three percent - 0.03% of total capital • Slippage five ticks • Process orders on close off • Recalculate after order is filled off • Calc on every tick off • Bar magnifier off • Any request security calls use lookahead off everywhere Realism and responsible publication • No performance promises. Past results never guarantee future outcomes • Fills and slippage vary by venue and feed • Strategies run on standard candles only • Shapes can update while a bar is forming and settle on close • Keep risk per trade sensible. Around one percent is typical for study. Above five to ten percent is rarely sustainable Honest limitations and failure modes • Sudden news and thin liquidity can break assumptions behind entropy and cohesion reads • Gap heavy symbols often behave better with a True Range basis for risk than a simple range • Very quiet regimes can reduce score contrast. Consider longer windows or higher thresholds when markets sleep • Session windows follow the exchange time of the chart if you add them • If stop and target can both be inside a single bar this strategy prefers stop first to keep accounting conservative Open source reuse and credits • No reused open source beyond public domain building blocks such as ATR EMA and linear regression concepts Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on history and in simulation with realistic costs
Pine Script® strategy
by exlux
USDJPY Fair Value Gap + Session Strategy🎯 Overview This strategy combines Fair Value Gaps (FVGs) with session-based order flow analysis, specifically optimized for USDJPY. It identifies price inefficiencies left behind by institutional order flow during high-volatility trading sessions, offering a modern alternative to traditional lagging indicators. 🔬 What Are Fair Value Gaps? Fair Value Gaps represent areas where aggressive institutional buying or selling created "gaps" in the market structure: Bullish FVG: Price moves up so aggressively that it leaves unfilled buy orders behind Bearish FVG: Price moves down so quickly that it leaves unfilled sell orders behind Research shows approximately 80% of FVGs get "filled" (price returns to the gap) within 20-60 bars, making them highly predictable trading zones. (see the generated image above) (see the generated image above) FVG Detection Logic: text // Bullish FVG: Gap between high and current low bullishFVG = low > high and high > high // Bearish FVG: Gap between low and current high bearishFVG = high < low and low < low 🌏 Session-Based Trading Why Sessions Matter for USDJPY (see the generated image above) Tokyo Session (00:00-09:00 UTC) Highest volatility during first hour (00:00-01:00 UTC) Average movement: 51-60 pips Best for breakout strategies London/NY Overlap (13:00-16:00 UTC) Maximum liquidity and institutional participation Tightest spreads and most reliable FVG formations Optimal for continuation trades Monday Premium Effect USDJPY moves 120+ pips on Mondays due to weekend positioning Enhanced FVG formation during session opens 📊 Strategy Components (see the generated image above) 1. Fair Value Gap Detection Identifies bullish and bearish FVGs automatically Age limit: FVGs expire after 20 bars to avoid stale setups Size filter: Minimum gap size to filter out noise 2. Session Filtering Tokyo Open focus: Trades during first hour of Asian session London/NY Overlap: Captures high-liquidity institutional flows Weekend gap strategy: Enhanced signals on Monday opens 3. Volume Confirmation Requires 1.5x average volume spike Confirms institutional participation Reduces false signals 4. Trend Alignment 50 EMA filter ensures trades align with higher timeframe trend Long trades above EMA, short trades below Prevents costly counter-trend trades 5. Risk Management 2:1 Risk/Reward minimum ensures profitability with 40%+ win rate Percentage-based stops adapt to USDJPY volatility (0.3% default) Configurable position sizing 🎯 Entry Conditions (see the generated image above) Long Entry (BUY) ✅ Bullish FVG detected in previous bars ✅ Price returns to FVG zone during active trading session ✅ Volume spike above 1.5x average ✅ Price above 50 EMA (trend confirmation) ✅ Bullish candle closes within FVG zone ✅ Trading during Tokyo open OR London/NY overlap Short Entry (SELL) ✅ Bearish FVG detected in previous bars ✅ Price returns to FVG zone during active trading session ✅ Volume spike above 1.5x average ✅ Price below 50 EMA (trend confirmation) ✅ Bearish candle closes within FVG zone ✅ Trading during Tokyo open OR London/NY overlap 📈 Expected Performance Backtesting Results (Based on Similar Strategies): Win Rate: 44-59% (profitable due to high R:R ratio) Average Winner: 60-90 pips during London/NY sessions Average Loser: 30-40 pips (tight stops at FVG boundaries) Risk/Reward: 2:1 minimum, often 3:1 during strong trends Best Performance: Monday Tokyo opens and Wednesday London/NY overlaps Why This Works for USDJPY: 90% correlation with US-Japan bond yield spreads High volatility provides sufficient pip movement Heavy institutional/central bank participation creates clear FVGs Consistent volatility patterns across trading sessions ⚙️ Configurable Parameters Session Settings: Trade Tokyo Session (Enable/Disable) Trade London/NY Overlap (Enable/Disable) FVG Settings: FVG Minimum Size (Filter small gaps) Maximum FVG Age (20 bars default) Show FVG Markers (Visual display) Volume Settings: Use Volume Filter (Enable/Disable) Volume Multiplier (1.5x default) Volume Average Period (20 bars) Trend Settings: Use Trend Filter (Enable/Disable) Trend EMA Period (50 default) Risk Management: Risk/Reward Ratio (2.0 default) Stop Loss Percentage (0.3% default) 🎨 Visual Indicators 🟡 Yellow Line: 50 EMA trend filter 🟢 Green Triangles: Long entry signals 🔴 Red Triangles: Short entry signals 🟢 Green Dots: Bullish FVG zones 🔴 Red Dots: Bearish FVG zones 🟦 Blue Background: Tokyo open session 🟧 Orange Background: London/NY overlap 📊 Recommended Settings Optimal Timeframes: Primary: 5-minute charts (scalping) Secondary: 15-minute charts (swing trading) Parameter Optimization: Conservative: Stop Loss 0.2%, R:R 2:1, Volume 2.0x Balanced: Stop Loss 0.3%, R:R 2:1, Volume 1.5x (default) Aggressive: Stop Loss 0.4%, R:R 1.5:1, Volume 1.2x Risk Management: Maximum 1-2% of account per trade Daily loss limit: Stop after 3-5 consecutive losses Use fixed percentage position sizing ⚠️ Important Considerations Avoid Trading During: Major news events (BOJ interventions, NFP, FOMC) Holiday periods with reduced liquidity Low volatility Asian afternoon sessions When US-Japan yield differential narrows sharply Best Practices: Limit to 2-3 trades per session maximum Always respect the 50 EMA trend filter Never risk more than planned per trade Paper trade for 2-4 weeks before live implementation Track performance by session and day of week 🚀 How to Use Add the script to your USDJPY chart Set timeframe to 5-minute or 15-minute Adjust parameters based on your risk tolerance Enable strategy alerts for automated notifications Wait for visual signals (triangles) to appear Enter trades according to your risk management rules 📚 Strategy Foundation This strategy is based on: Smart Money Concepts (SMC): Institutional order flow tracking Market Microstructure: Understanding how FVGs form in electronic trading Quantified Risk Management: Statistical edge through proper R:R ratios Session Liquidity Patterns: Exploiting predictable volatility cycles
Pine Script® strategy
by Stockhock
Yuki Leverage RR Calculator**YUKI LEVERAGE RR CALCULATOR** A professional-grade risk/reward calculator for leveraged crypto or forex trades. Instantly visualizes entry, stop loss, targets, leverage, and risk-to-reward ratios — helping you plan precise positions with confidence. ────────────────────────────── **WHAT IT DOES** Calculates position value, quantity, stop-loss price, liquidation estimate, and per-target profit. Displays everything in an on-chart table with optional price tags and alerts. ────────────────────────────── **KEY FEATURES** • Long / Short toggle (only one active at a time) • Leverage-aware position sizing based on Position Cost ($) and Leverage • Dynamic Stop Loss: input % → auto price + $ risk • Up to 3 Take-Profit Targets with scaling logic • Instant R:R ratios per target • Liquidation estimate (approximation only) • ENTRY / SL / T1 / T2 / T3 / LIQ visual tags • Dark/Light mode, adjustable table and tag size • Built-in alerts for Targets and Stop Loss ────────────────────────────── **INPUTS** • Long or Short selection • Entry Price, Stop Loss % • Target 1 / Target 2 / Target 3 + Take Profit % • Position Cost ($), Leverage • Visual preferences: show/hide table, table corner, font size, tag offset, text size ────────────────────────────── **TABLE OUTPUTS** Position Info: Type, Entry, Position Cost, Leverage, Value Risk Section: Stop Loss %, Stop Loss Price, Total Risk ($), Liquidation % & Price Targets 1–3: Profit ($), R:R, Take Profit ($), Runner % or PnL ────────────────────────────── **ALERTS** • Target 1 Hit – when price crosses T1 • Target 2 Hit – when price crosses T2 • Target 3 Hit – when price crosses T3 • Stop Loss Hit – triggers based on direction (Use TradingView Alerts → Condition → Indicator → select desired alert) ────────────────────────────── **HOW TO USE** 1. Choose Long or Short 2. Enter Entry Price, Stop Loss %, Position Cost, and Leverage 3. Add Targets 1–3 with optional Take Profit % 4. Adjust visuals as desired 5. Monitor table + alerts for live trade planning ────────────────────────────── **NOTES** • Liquidation values are estimates only • Fees, slippage, and funding not included • Designed for educational and planning purposes ────────────────────────────── ⚠️ **DISCLAIMER** For educational use only — not financial advice. Trading leveraged products involves high risk of loss. Always confirm calculations with your exchange and trade responsibly.
Pine Script® indicator
by yukineko88
Daytrade Forex Scalper TwinPulse Auction Timer IndicatorWhat this indicator is TwinPulse Auction Timer is a multi component execution aid designed for liquid markets. It looks for two families of opportunities Breakouts that leave a compression area after a fresh sweep Reversals that trigger after a sweep with strong wick polarity It does not try to predict future prices. It measures present auction conditions with transparent rules and shows you when those conditions align. You get a simple table that says LONG SHORT or WAIT, optional session shading, clean entry and exit level visuals, and alerts you can wire to your workflow. Why it is different Most tools show a single signal. TwinPulse combines several independent signals into an Edge Score that you can tune. The components are • Pulse. A signed measure of wick asymmetry with candle body direction • Compression. Current true range compared with an average range • Sweep timer. Bars elapsed since the most recent sweep of a prior high or low • Bias. Direction of a higher timeframe candle • Regime. Efficiency ratio and the relation of micro to macro volatility • Location. Distance from the daily anchored VWAP • Session. London and New York filter by time windows Each component is visible in the inputs and in the table so you can understand why a suggestion appears. The script uses request.security() with lookahead off in all calls so it does not peek into the future. Shapes may move while a bar is open since price is still forming. They stop moving when the bar closes. What you will see on the chart • L and S shapes on entry bars • An Exit shape at the price where a stop or the runner target would have been hit • Four horizontal lines while a trade is active Entry Stop TP1 at one R TP2 at the runner target expressed in R • Labels anchored to each line so you can instantly read Entry SL TP1 and TP2 with current values • Optional shading during your session windows • Optional daily VWAP line The table in the top right shows Action LONG SHORT IN LONG IN SHORT or WAIT Session ON or OFF Bias UP DOWN or FLAT Pulse value Compression value Edge L percent and Edge S percent How it works in detail Pulse For each bar the script measures up wick minus down wick divided by range and multiplies that by the sign of the candle body. The result is averaged with pulse_len. Positive numbers indicate aggressive buying. Negative numbers indicate aggressive selling. You control the minimum absolute value with pulse_thr. Compression Compression is the ratio of current range to an average range. You can choose the range basis. HL SMA uses simple high minus low smoothed by range_len. ATR uses classic True Range smoothed by atr_len. Values below comp_thr indicate a coil. Sweeps and the timer A sweep occurs when price trades beyond the highest high or lowest low seen in the previous sweep_len bars. A strict sweep requires a close back inside that prior range. The timer measures how many bars have elapsed since the last sweep. Breakout setups require the timer to exceed timer_thr. Bias on a confirmation timeframe A higher timeframe candle is read with confirm_tf. If close is above open bias is UP. If close is below open bias is DOWN. This keeps breakouts aligned with the prevailing drift. Regime filters Efficiency ratio measures the straight line change over the sum of absolute bar to bar changes over er_len. It rises in trendy conditions and falls in noise. Minimum efficiency is controlled by er_min. Micro to macro volatility ratio compares a short lookback average range with a longer lookback average range using your chosen basis. For breakouts you usually want micro volatility to be near or above macro hence mvr_min. For reversals you often want micro volatility that is not overheated relative to macro hence mvr_max_rev. VWAP distance gate Daily anchored VWAP is rebuilt from the open of each session. The script computes the absolute distance from VWAP in units of your average range and requires that distance to exceed vwap_dist_thr when use_vwap_gate is true. This keeps entries away from the mean. Edge Score Each gate contributes a weight that you control. The script sums weights of the satisfied gates and divides by the sum of all weights to produce an Edge percent for long and an Edge percent for short. You can then require a minimum Edge percent using edge_min_pct. This turns the indicator into a step by step checklist that you can tune to your taste. Using the indicator step by step Choose markets and timeframes The logic is designed for liquid instruments. Major currency pairs, index futures and cash index CFDs, and the most liquid crypto pairs work well. On intraday use one to fifteen minutes for signals and fifteen to sixty minutes for confirmation. On swing use one hour to one day for signals and one day for confirmation. Decide on entry mode Breakouts require a compression area and a sweep timer. Reversals require a strict sweep and a strong pulse. If you are unsure leave the default which allows both. Pick a range basis For FX and crypto HL SMA is often stable. For indices and single name equities with gaps ATR can adapt better. If results look too reactive increase the window. If results are too slow reduce it. Tune regime filters If you trade trend continuation raise er_min and mvr_min. If you trade counter rotation lower them and rely on the reversal path with the strict sweep condition. Set the VWAP gate Enabling it helps you avoid entries at the mean. Push the threshold higher on range bound days. Reduce it in strong trend days. Table driven decision Watch Action and the Edge percents. If the script says WAIT you can read Pulse and Compression to see what is missing. Often the best trades appear when both Edge percents are well separated and your session switch is ON. Use the visuals When a suggestion triggers you will see entry stop and targets. You can mirror the levels in your own workflow or use alerts. Consider bar close Signals are computed in real time. For a strict process you can wait until the bar closes to reduce noise. Inputs explained with quick guidance Setup Signal TF chooses where the logic is computed. Leave blank to use the chart. Confirm TF sets the higher timeframe for bias. Session filter restricts signals to the London and New York windows you specify. Invert flips long and short. It is useful on inverse instruments. Logic options Entry mode allows Breakouts Reversals or Both. Average range basis selects HL SMA or ATR. ATR length is used when ATR is selected. Pulse source can be Regular OHLC or Heikin Ashi. Heikin Ashi smooths noisy series, but the script still runs on regular bars and you should publish and use it on standard candles to respect the platform guidance. Core numeric settings Sweep lookback controls the size of the liquidity pool targeted by the sweep condition. Pulse window smooths the wick polarity measure. Average range window controls your base range when you use HL SMA. Pulse threshold sets the minimum polarity required. Compression threshold sets the maximum current range relative to average to consider the market coiled. Expansion timer bars sets how much time has passed since the last sweep before you allow a breakout. Regime filters Efficiency ratio length and minimum value keep you out of aimless drift. Micro and Macro range lengths feed the micro to macro ratio. Minimum micro to macro for breakouts and maximum micro to macro for reversals steer the two entry families. VWAP gate and distance threshold keep you away from the mean. Levels and trade management visuals Runner target in R sets TP2 as a multiple of initial risk. Stop distance as average range multiple sets initial risk size for the visuals. Move stop to entry after one R touch turns on break even logic once price has traveled one risk unit. Trail buffer as R fraction uses the last sweep as an anchor and keeps a dynamic stop at a chosen fraction of R beyond it. Cooldown after exit prevents immediate re entries. Edge Score Weights for pulse compression timer bias efficiency ratio micro to macro VWAP gate and session let you align the checklist with your style. Minimum Edge percent to suggest applies a final filter to LONG or SHORT suggestions. UI Table and markers switch the compact dashboard and the shapes. TP and SL lines and labels draw and name each level. TP1 partial label percent is printed in the TP1 label for clarity. Session shading helps with focus. Daily VWAP line is optional. Alerts The script provides alerts for Long Short Exit and for Edge percent crossing the threshold on either side. Use them to drive notifications or to sync with webhooks and your broker integration. Alerts trigger in real time and will repaint during a bar. For conservative use trigger on bar close. Recommended presets Intraday trend continuation Confirm TF fifteen minutes Entry mode Breakouts Range basis HL SMA Pulse threshold near 0.10 Compression threshold near 0.60 Timer around 18 Minimum efficiency ratio near 0.20 Minimum micro to macro near 1.00 VWAP gate enabled with distance near 0.35 Edge minimum 50 or higher Intraday mean reversion at sweeps Entry mode Reversals Pulse source Regular OHLC Compression threshold can be a little higher Maximum micro to macro near 1.60 Efficiency ratio minimum lower near 0.12 VWAP gate enabled Edge minimum 40 to 60 Swing trend continuation Signal TF one hour Confirm TF one day Range basis ATR ATR length around 14 Average range window 20 to 30 Efficiency ratio minimum near 0.18 Micro to macro windows 12 and 60 Edge minimum 50 to 70 These are starting points only. Your instrument and timeframe will require small adjustments. Limitations and honest warnings No indicator is perfect. TwinPulse will mark attractive conditions that do not always lead to profitable trades. During economic releases or very thin liquidity the assumptions behind compression and sweeps may fail. In strong gap environments the HL SMA basis may lag while ATR may overreact. Heikin Ashi pulse can help in choppy markets but it will lag during sharp reversals. Session times use the exchange time of your chart. If you switch symbol or exchange verify the windows. Edge percent is not a probability of profit. It is the fraction of satisfied gates with your chosen weights. Two traders can set different weights and see different Edge readings on the same bar. That is the design. The score is a guide that helps you act with discipline. This indicator does not place orders or manage real risk. The lines and labels show a model entry a model stop and two model targets built from the average range at entry and from recent swing points. Use them as references and not as hard rules. Always test on historical data and demo first. Past results do not guarantee anything in the future. Credits and originality All code in this publication is original and written for this indicator. The concept of the efficiency ratio originates from Perry Kaufman. The use of a daily anchored volume weighted average price is a standard industry tool. The specific combination of pulse from wick polarity strict sweep timing compression and the tunable Edge Score is unique to this script at the time of publication. If you reuse parts of the open source code in your own work remember to credit the author and contribute meaningful improvements. How to read the table at a glance Action reflects your current state. IN LONG or IN SHORT appears while a trade is active. LONG or SHORT appears when conditions for entry are met and the Edge threshold is satisfied. WAIT appears when at least one gate is missing. Session shows ON during your chosen windows. Bias shows the color of the confirmation candle. Pulse is the smoothed polarity number. Comp shows current range divided by the average range. Values below one mean compression. Edge L percent and Edge S percent show the long and short checklists as percents. Final thoughts Markets move because orders accumulate at certain prices and at certain times. The indicator tries to measure two things that often matter at those turning points. One is the existence of a hidden imbalance revealed by wick polarity and by sweeps of prior extremes. The other is the presence of energy stored in a coil that can release in the direction of a drift. Neither force guarantees profit. Together they can improve your selection and your timing. Use the defaults for a few days so you learn the personality of the signals. After that adjust one group at a time. Start with the session filter and the Edge threshold. Then tune compression and the timer. Finally adjust the regime filters. Keep notes. You will learn which weights matter for your market and timeframe. The result is a process you can apply with consistency. Disclaimer This script and description are for education and analysis. They are not investment advice and they do not promise future results. Use at your own risk. Test thoroughly on historical data and in simulation before considering any live use.
Pine Script® indicator
by exlux
LW Outside Day Strategy[SpeculationLab]This strategy is inspired by the “Outside Day” concept introduced by Larry Williams in Long-Term Secrets to Short-Term Trading, and has been extended with configurable risk management tools and realistic backtesting parameters. Concept The “Outside Day” is a classic price action pattern that reflects strong market rejection or continuation pressure. An Outside Bar occurs when the current bar’s high exceeds the previous high and the low falls below the previous low. A body-size filter ensures only significant candles are included. Entry Logic Buy setup: Price closes below the previous low (bullish rejection). Sell setup: Price closes above the previous high (bearish rejection). Only confirmed bars are used (no intrabar signals). Stop-Loss Modes Prev Low/High: Uses the previous swing point ± ATR-based buffer. ATR: Dynamic stop based on Average True Range × multiplier. Fixed Pips: User-defined fixed distance (for forex testing). Take-Profit Modes Prev High/Low (PHL): Exits near the opposite swing. Risk-Reward (RR): Targets a user-defined multiple of the stop distance (default = 2 : 1). Following Price Open (FPO): Exits on the next bar’s open if price opens in profit (used to test overnight price continuation). Risk Management & Backtest Settings Default risk per trade is set at 10% of account equity (user-adjustable). Commission = 0.1% and slippage = 2 ticks are applied to simulate realistic conditions. For reliable statistics, test on data that yields over 100 trades. Suitable for daily and 4-hour timeframes across stocks, forex, and crypto markets. Visual Elements Green and red triangles show entry signals. Stop-loss (red) and take-profit (green) reference lines are drawn for clarity. Optional alerts notify when a valid setup forms. Disclaimer This script is for educational and research purposes only. It does not constitute financial advice or guarantee profits. Always backtest thoroughly and manage your own risk. Enhancements over Classic Outside Bar Models Adjustable stop and target logic with ATR and buffer multipliers. “Following Price Open” exit logic for realistic day-end management. Optimized to avoid repainting and bar-confirmation issues. Built with realistic trading costs and position sizing. 策略逻辑 外包线识别 当日最高价高于前一日最高价，且当日最低价低于前一日最低价，即形成外包线。 同时过滤掉较小实体的 K 线，仅保留实体显著大于前一根的形态。 方向过滤 收盘价低于前一日最低价 → 视为买入信号。 收盘价高于前一日最高价 → 视为卖出信号。 止损设置（可选参数） 前低/高止损：以形态前低/前高为止损，带有缓冲倍数。 ATR 止损：根据平均波动率（ATR）动态调整。 固定点数止损：按照用户设定的点数作为止损范围。 止盈设置（可选参数） 前高/低止盈（PHL）：以前高/前低为目标。 固定盈亏比（RR）：根据用户设定的风险回报比自动计算。 隔夜开盘（FPO）：若次日开盘价高于进场价（多单）或低于进场价（空单），则平仓。 信号标记 在图表中标注买入/卖出信号（三角形标记）。 绘制止损与目标位参考线。 使用说明 适用周期：建议用于 日线图（Daily）。 适用市场：股票、外汇、加密货币等各类市场均可。 提示：此策略为历史研究与学习用途，不构成投资建议。实际交易请结合自身风险管理。
Pine Script® strategy
by SpeculationLab