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Babanov_BTCUSDT V2🧪 Deep Backtest Results (BTC 5-Min Strategy) Backtest conducted on BTCUSDT.P (Bybit) using a 5-minute chart timeframe over several weeks of data. ! (i.imgur.com) ⚠️ Важно: Инструкции за правилна употреба на скрипта! Ако искате да използвате този скрипт с webhook alerts за автоматична търговия, моля, обърнете внимание на следните стъпки: ✅ 1. Активирайте "Live Trading Mode" Преди да създадете какъвто и да е alert, отидете в таба "Inputs" и задължително активирайте опцията "Live Trading Mode". Без нея скриптът няма да изпраща правилни сигнали. ✅ 2. Въведете търговската сума в USD В таба "Properties", въведете сумата в USD, която ботът ще използва за търговия с BTC. - Препоръчително е сумата да бъде такава, която може да бъде разделена на 50 (например 50, 100, 150, 200 и т.н.), за да се гарантира коректно управление на позициите и обемите при търговия. ✅ 3. Препоръчителна платформа: Bybit - BYBIT:BTCUSDT.P Скриптът е оптимизиран и тестван за търговия на Bybit. Използването му на други платформи може да доведе до различни резултати, тъй като графиките и ценовите движения може да се различават. ----------------------------------------------------------------------------------------------- ⚠️ Important: Instructions for Proper Use of This Script If you want to use this script with webhook alerts for automated trading, please follow the steps below carefully: ✅ 1. Enable "Live Trading Mode" Before creating any alerts, go to the "Inputs" tab and make sure to enable the "Live Trading Mode" option. Without it, the script will not generate correct trading signals. ✅ 2. Enter Your Trading Amount in USD In the "Properties" tab, enter the amount in USD that the bot will use for BTC trading. It is strongly recommended to enter an amount that can be divided by 50 (e.g., 50, 100, 150, 200, etc.) to ensure proper position sizing and trade management. ✅ 3. Recommended Exchange: Bybit – BYBIT:BTCUSDT.P The script is optimized and tested specifically for Bybit. Using it on other exchanges may result in different outcomes due to variations in chart data and price movements.
Pine Script® strategy
by Neptune_8
Babanov_BTCUSDT!!! Important: Instructions for Proper Use of This Script If you want to use this script with webhook alerts for automated trading, please follow the steps below carefully: ✅ 1. Enable "Live Trading Mode" Before creating any alerts, go to the "Inputs" tab and make sure to enable the "Live Trading Mode" option. Without it, the script will not generate correct trading signals. ✅ 2. Enter Your Trading Amount in USD In the "Properties" tab, enter the amount in USD that the bot will use for BTC trading. It is strongly recommended to enter an amount that can be divided by 50 (e.g., 50, 100, 150, 200, etc.) to ensure proper position sizing and trade management. ✅ 3. Recommended Exchange: Bybit – BYBIT:BTCUSDT.P The script is optimized and tested specifically for Bybit. Using it on other exchanges may result in different outcomes due to variations in chart data and price movements. ----------------------------------------------------------------------------------------------- !!! Важно: Инструкции за правилна употреба на скрипта! Ако искате да използвате този скрипт с webhook alerts за автоматична търговия, моля, обърнете внимание на следните стъпки: ✅ 1. Активирайте "Live Trading Mode" Преди да създадете какъвто и да е alert, отидете в таба "Inputs" и задължително активирайте опцията "Live Trading Mode". Без нея скриптът няма да изпраща правилни сигнали. ✅ 2. Въведете търговската сума в USD В таба "Properties", въведете сумата в USD, която ботът ще използва за търговия с BTC. - Препоръчително е сумата да бъде такава, която може да бъде разделена на 50 (например 50, 100, 150, 200 и т.н.), за да се гарантира коректно управление на позициите и обемите при търговия. ✅ 3. Препоръчителна платформа: Bybit - BYBIT:BTCUSDT.P Скриптът е оптимизиран и тестван за търговия на Bybit. Използването му на други платформи може да доведе до различни резултати, тъй като графиките и ценовите движения може да се различават.
Pine Script® strategy
by Neptune_8
Enhanced Ichimoku Cloud Strategy V1 [Quant Trading]Overview This strategy combines the powerful Ichimoku Kinko Hyo system with a 171-period Exponential Moving Average (EMA) filter to create a robust trend-following approach. The strategy is designed for traders seeking to capitalize on strong momentum moves while using the Ichimoku cloud structure to identify optimal entry and exit points. This is a patient, low-frequency trading system that prioritizes quality over quantity. In backtesting on Solana, the strategy achieved impressive results with approximately 3600% profit over just 29 trades, demonstrating its effectiveness at capturing major trend movements rather than attempting to profit from every market fluctuation. The extended parameters and strict entry criteria are specifically optimized for Solana's price action characteristics, making it well-suited for traders who prefer fewer, higher-conviction positions over high-frequency trading approaches. What Makes This Strategy Original This implementation enhances the traditional Ichimoku system by: Custom Ichimoku Parameters: Uses non-standard periods (Conversion: 7, Base: 211, Lagging Span 2: 120, Displacement: 41) optimized for different market conditions EMA Confirmation Filter: Incorporates a 171-period EMA as an additional trend confirmation layer State Memory System: Implements a sophisticated memory system to track buy/sell states and prevent false signals Dual Trade Modes: Offers both traditional Ichimoku signals ("Ichi") and cloud-based signals ("Cloud") Breakout Confirmation: Requires price to break above the 25-period high for long entries How It Works Core Components Ichimoku Elements: -Conversion Line (Tenkan-sen): 7-period Donchian midpoint -Base Line (Kijun-sen): 211-period Donchian midpoint -Span A (Senkou Span A): Average of Conversion and Base lines, plotted 41 periods ahead -Span B (Senkou Span B): 120-period Donchian midpoint, plotted 41 periods ahead -Lagging Span (Chikou Span): Current close plotted 41 periods back EMA Filter: 171-period EMA acts as a long-term trend filter Entry Logic (Ichi Mode - Default) A long position is triggered when ALL conditions are met: Cloud Bullish: Span A > Span B (41 periods ago) Breakout Confirmation: Current close > 25-period high Ichimoku Bullish: Conversion Line > Base Line Trend Alignment: Current close > 171-period EMA State Memory: No previous buy signal is still active Exit Logic Positions are closed when: Ichimoku Bearish: Conversion Line < Base Line Alternative Cloud Mode When "Cloud" mode is selected, the strategy uses: Entry: Span A crosses above Span B with additional cloud and EMA confirmations Exit: Span A crosses below Span B with cloud and EMA confirmations Default Settings Explained Strategy Properties Initial Capital: $1,000 (realistic for average traders) Position Size: 100% of equity (appropriate for backtesting single-asset strategies) Commission: 0.1% (realistic for most brokers) Slippage: 3 ticks (accounts for realistic execution costs) Date Range: January 1, 2018 to December 31, 2069 Key Parameters Conversion Periods: 7 (faster than traditional 9, more responsive to price changes) Base Periods: 211 (much longer than traditional 26, provides stronger trend confirmation) Lagging Span 2 Periods: 120 (custom period for stronger support/resistance levels) Displacement: 41 (projects cloud further into future than standard 26) EMA Period: 171 (long-term trend filter, approximately 8.5 months of daily data) How to Use This Strategy Best Market Conditions Trending Markets: Works best in clearly trending markets where the cloud provides strong directional bias Medium to Long-term Timeframes: Optimized for daily charts and higher timeframes Volatile Assets: The breakout confirmation helps filter out weak signals in choppy markets Risk Management The strategy uses 100% equity allocation, suitable for backtesting single strategies Consider reducing position size when implementing with real capital Monitor the 25-period high breakout requirement as it may delay entries in fast-moving markets Visual Elements Green/Red Cloud: Shows bullish/bearish cloud conditions Yellow Line: Conversion Line (Tenkan-sen) Blue Line: Base Line (Kijun-sen) Orange Line: 171-period EMA trend filter Gray Line: Lagging Span (Chikou Span) Important Considerations Limitations Lagging Nature: Like all Ichimoku strategies, signals may lag significant price moves Whipsaw Risk: Extended periods of consolidation may generate false signals Parameter Sensitivity: Custom parameters may not work equally well across all market conditions Backtesting Notes Results are based on historical data and past performance does not guarantee future results The strategy includes realistic slippage and commission costs Default settings are optimized for backtesting and may need adjustment for live trading Risk Disclaimer This strategy is for educational purposes only and should not be considered financial advice. Always conduct your own analysis and risk management before implementing any trading strategy. The unique parameter combinations used may not be suitable for all market conditions or trading styles. Customization Options Trade Mode: Switch between "Ichi" and "Cloud" signal generation Short Trading: Option to enable short positions (disabled by default) Date Range: Customize backtesting period All Ichimoku Parameters: Fully customizable for different market conditions This enhanced Ichimoku implementation provides a structured approach to trend following while maintaining the flexibility to adapt to different trading styles and market conditions.
Pine Script® strategy
by Quant_Trading_Pro
Peak TradePeakTrade AI Strategy The PeakTrade AI strategy is an advanced crypto trading system, specifically optimized for the 15-minute BTC/USDT.P chart. It is not recommended for use on other timeframes or different assets. One of the key components of the strategy is Alpha Trend, which uses a custom calculation based on ATR (Average True Range) to measure market volatility. It also incorporates momentum indicators like RSI (Relative Strength Index) and MFI (Money Flow Index) to determine the direction of the trend. This allows for a dynamic and real-time identification of trend strength and direction. While the commonly used ATR multiplier is 3.0, PeakTrade AI internally determines the most suitable value for its strategy. In addition, it uses adaptive threshold levels for RSI and MFI to calculate trend levels that continuously adjust to changing market conditions. This dynamic adjustment significantly improves signal accuracy. The strategy also integrates the Zero Lag Hull Moving Average (HMA) to track market momentum and direction with minimal delay. Compared to traditional moving averages, HMA responds faster to price action, offering an edge in identifying precise entry and exit points. Specifically, the strategy analyzes the interaction between 46-period and 200-period HMAs, using mathematical momentum calculations to determine optimal entry and exit conditions. Originality and Confirmation System This strategy is not a simple combination of open-source indicators. It introduces a unique confirmation mechanism by analyzing USDT Dominance (USDT.D) data across multiple timeframes (1, 3, 5, 15, and 240 minutes). This allows it to assess market sentiment and risk appetite, effectively filtering out trades during unfavorable conditions. This filtering system improves the signal confirmation rate by up to 20%. Additionally, moving average filters and volatility-based confirmation mechanisms are used to reduce false signals and enhance the overall reliability of trade entries. Default Backtest Settings: Date Range: 01.01.2025 – 01.07.2025 Initial Capital: 1000 USDT Leverage: 10x Commission: 0.075% Slippage: 0.1% Average Risk/Reward Ratio: 2.917 Timeframe: Only for 15-minute charts Optimized TP/SL Values for Risk Management: Take-Profit (TP): 6.6% Stop-Loss (SL): 2.0% These values have been specifically optimized to balance profitability and risk, and have shown the best performance within the defined backtest period.
Pine Script® strategy
by PeakTradeAIOG
Warrior Trading Momentum Strategy # 🚀 Warrior Trading Momentum Strategy - Day Trading Excellence ## Strategy Overview This comprehensive Pine Script strategy replicates the proven methodologies taught by Ross Cameron and the Warrior Trading community. Designed for active day traders, it identifies high-probability momentum setups with strict risk management protocols. ## 📈 Core Trading Setups ### 1. Gap and Go Trading - **Primary Focus**: Stocks gapping up 2%+ with volume confirmation - **Entry Logic**: Breakout above gap open with momentum validation - **Volume Filter**: 2x average volume requirement for quality setups ### 2. ABCD Pattern Recognition - **Pattern Detection**: Automated identification of classic ABCD reversal patterns - **Validation**: A-B and C-D move relationship analysis - **Entry Trigger**: D-point breakout with volume confirmation ### 3. VWAP Momentum Plays - **Strategy**: Entries near VWAP with bounce confirmation - **Distance Filter**: Configurable percentage distance for optimal entries - **Direction Bias**: Above VWAP bullish momentum validation ### 4. Red to Green Reversals - **Setup**: Reversal patterns after consecutive red candles - **Confirmation**: Volume spike with bullish close required - **Momentum**: Trend change validation with RSI support ### 5. Breakout Momentum - **Logic**: Breakouts above recent highs with volume - **Filters**: EMA20 and RSI confirmation for quality - **Trend**: Established momentum direction validation ## ⚡ Key Features ### Smart Risk Management - **Position Sizing**: Automatic calculation based on account risk percentage - **Stop Loss**: 2 ATR-based stops for volatility adjustment - **Take Profit**: Configurable risk-reward ratios (default 1:2) - **Trailing Stops**: Profit protection with adjustable triggers ### Advanced Filtering System - **Time Filters**: Market hours trading with lunch hour avoidance - **Volume Confirmation**: Multi-timeframe volume analysis - **Momentum Indicators**: RSI and moving average trend validation - **Quality Control**: Multiple confirmation layers for signal accuracy ### PDT-Friendly Design - **Trade Limiting**: Built-in daily trade counter for accounts under $25K - **Selective Trading**: Priority scoring system for A+ setups only - **Quality over Quantity**: Maximum 2-3 high-probability trades per day ## 🎯 Optimal Usage ### Best Timeframes - **Primary**: 5-minute charts for entry timing - **Secondary**: 1-minute for precise execution - **Context**: Daily charts for gap analysis ### Ideal Market Conditions - **Volatility**: High-volume, momentum-driven markets - **Stocks**: Market cap $100M+, average volume 1M+ shares - **Sectors**: Technology, biotech, growth stocks with news catalysts ### Account Requirements - **Minimum**: $500+ for proper position sizing - **Recommended**: $25K+ for unlimited day trading - **Risk Tolerance**: Active day trading experience preferred ## 📊 Performance Optimization ### Entry Criteria (All Must Align) 1. ✅ Time filter (market hours, avoid lunch) 2. ✅ Volume spike (2x+ average volume) 3. ✅ Momentum confirmation (RSI 50-80) 4. ✅ Trend alignment (above EMA20) 5. ✅ Pattern completion (setup-specific) ### Risk Parameters - **Maximum Risk**: 1-2% per trade - **Position Size**: 25% of account maximum - **Stop Loss**: 2 ATR below entry - **Take Profit**: 2:1 risk-reward minimum ## 🔧 Customization Options ### Gap Trading Settings - Minimum gap percentage threshold - Volume multiplier requirements - Gap validation criteria ### Pattern Recognition - ABCD ratio parameters - Swing point sensitivity - Pattern completion filters ### Risk Management - Risk-reward ratio adjustment - Maximum daily trade limits - Trailing stop trigger levels ### Time and Session Filters - Trading session customization - Lunch hour avoidance toggle - Market condition filters ## ⚠️ Important Disclaimers ### Risk Warning - **High Risk**: Day trading involves substantial risk of loss - **Capital Requirements**: Only trade with risk capital - **Experience**: Strategy requires active monitoring and experience - **Market Conditions**: Performance varies with market volatility ### PDT Considerations - **Day Trading Rules**: Accounts under $25K limited to 3 day trades per 5 days - **Compliance**: Strategy includes trade counting for PDT compliance - **Alternative**: Consider swing trading modifications for smaller accounts ### Backtesting vs Live Trading - **Slippage**: Real trading involves execution delays and slippage - **Commissions**: Factor in broker fees for accurate performance - **Market Impact**: Large positions may affect fill prices - **Psychological Factors**: Live trading involves emotional challenges ## 📚 Educational Value This strategy serves as an excellent learning tool for understanding: - Professional day trading methodologies - Risk management principles - Pattern recognition techniques - Volume and momentum analysis - Multi-timeframe analysis ## 🤝 Community and Support Based on proven Warrior Trading methodologies with active community support. Strategy includes comprehensive plotting and information tables for educational purposes and trade analysis. --- **Disclaimer**: This strategy is for educational purposes. Past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose. **Tags**: #DayTrading #Momentum #WarriorTrading #GapAndGo #ABCD #VWAP #PatternTrading #RiskManagement
Pine Script® strategy
by pgmqs42k5s
AlgoChadLin's BITCOIN H1 Breakout Strategy No.545Strategy Overview  AlgoChadLin's BITCOIN H1 Breakout Strategy No.545 is a sophisticated breakout trading system designed for Bitcoin on the H1 timeframe. It integrates multiple volatility and price action indicators to identify high-probability breakout opportunities, aiming to capitalize on significant market movements. Auther: @algochadlin  Strategy Logic  Breakout Confirmation: Utilizes a combination of Average True Range (ATR) and Bollinger Bands to identify periods of low volatility followed by sharp price movements.  Long: Initiated when the price breaks above the previous hour's upper Bollinger Band, with ATR confirming increased volatility.  Short: Triggered when the price breaks below the previous hour's lower Bollinger Band, with ATR indicating heightened volatility.  Parameters  Price Entry Multiplier: Adjusts the entry price relative to the breakout level. Exit After Bars: Specifies the number of bars to hold the position before exiting. Profit Target (%): Defines the percentage gain at which to take profit. Stop Loss Coefficient: Multiplier for ATR to calculate stop-loss distance. Trailing Stop Coefficients: Defines the trailing stop parameters. Biggest Range Period: Determines the lookback period for identifying the largest price range.  Setup  Timeframe: 1-Hour (H1) Asset: Bitcoin, also suitable for ETH
Pine Script® strategy
by Lin-Changhua
Operator Levels by Trade InsiderOperator Levels by Trade Insider Overview Operator Levels by Trade Insider is a breakout trading strategy designed for intraday trading on the Nifty 50 index using a 5-minute timeframe. It identifies high-probability trade setups based on the first 5-minute candle’s price range of the day, generating target levels for long and short positions. The strategy uses a customizable Simple Moving Average (SMA) for trend filtering and a strict 1:1.5 risk-to-reward validation, making it ideal for intraday traders in the Indian equity market. Key Features Dynamic Target Levels: Plots two sets of target levels above and below the first 5-minute candle’s range, calculated using a proprietary volatility-based multiplier to project realistic price objectives. Trend Filtering: Uses a user-adjustable SMA (default: 24 periods) to ensure entries align with the prevailing market trend, reducing false breakouts. Risk-to-Reward Validation: Only executes trades with a minimum 1:1.5 risk-to-reward ratio, promoting disciplined risk management. Clean Visualization: Displays target levels as dashed lines with color-coded labels for easy identification of trade exits (Target 1, Target 2, Stop-Loss). Customizable Settings: Allows adjustment of SMA period, position size, and risk parameters to suit different trading styles and market conditions. What Makes It Unique? Unlike standard breakout strategies, Operator Levels employs a proprietary multiplier derived from volatility analysis to optimize target levels for the Nifty 50’s intraday movements. The adjustable SMA period and strict 1:1.5 risk-to-reward filter enhance entry precision, reducing noise compared to traditional range breakout systems. The strategy’s minimalist design ensures actionable signals without overwhelming the chart, tailored specifically for the fast-paced 5-minute timeframe. How to Use Setup: Apply on a 5-minute chart for the Nifty 50 index (e.g., NSE:NIFTY). Recommended for intraday trading. Default Settings: Position Size: 5% of equity per trade (adjustable via default_qty_value). SMA Period: 24 (adjustable; e.g., set to 12 for faster signals or 50 for smoother trends). Risk-to-Reward: 1:1.5 minimum for all trades. Trading Process: Long Entry: Triggered when price breaks above the first 5-minute candle’s high, is above the SMA, and meets the 1:1.5 risk-to-reward ratio. Short Entry: Triggered when price breaks below the first 5-minute candle’s low, is below the SMA, and meets the 1:1.5 risk-to-reward ratio. Exits: Close positions at Target 1, Target 2, or Stop-Loss, with alerts set via TradingView for real-time notifications. Integration: Combine with volume analysis or support/resistance indicators (e.g., RSI, pivot points) for confirmation of breakouts. Example: On a Nifty 50 5-minute chart, enter a long trade when price breaks above the first candle’s high and is above the 24-period SMA, targeting the first dashed blue line (Target 1) with a stop-loss at the first candle’s low. Backtesting Results Test Parameters: Symbol: NSE:NIFTY, 5-minute timeframe Period: 6 months (January 2025–June 2025) Initial Capital: $10,000 Commission: 0.1% per trade Slippage: 5 ticks Risk per Trade: 5% of equity Results: Total Trades: 150 Win Rate: 62% Average Risk-to-Reward: 1.5:1 Notes: Results are based on standard candles to ensure realistic performance. Backtest on your preferred timeframe and symbol to validate suitability. Limitations Trade Frequency: The 5-minute timeframe generates more trades than daily charts but may still require active market sessions (e.g., 9:15 AM–3:30 PM IST) for optimal results. Market Conditions: Breakouts may underperform in low-volatility or ranging markets; use additional confirmation (e.g., volume spikes or Nifty 50 futures data) to filter signals. Risk Management: While the 1:1.5 risk-to-reward ratio is conservative, traders should back test and adjust position sizing and SMA period to match their risk tolerance.
Pine Script® strategy
by Trade_Insider
Multi-Confluence Swing Hunter V1# Multi-Confluence Swing Hunter V1 - Complete Description Overview The Multi-Confluence Swing Hunter V1 is a sophisticated low timeframe scalping strategy specifically optimized for MSTR (MicroStrategy) trading. This strategy employs a comprehensive point-based scoring system that combines optimized technical indicators, price action analysis, and reversal pattern recognition to generate precise trading signals on lower timeframes. Performance Highlight: In backtesting on MSTR 5-minute charts, this strategy has demonstrated over 200% profit performance, showcasing its effectiveness in capturing rapid price movements and volatility patterns unique to MicroStrategy's trading behavior. The strategy's parameters have been fine-tuned for MSTR's unique volatility characteristics, though they can be optimized for other high-volatility instruments as well. ## Key Innovation & Originality This strategy introduces a unique **dual scoring system** approach: - **Entry Scoring**: Identifies swing bottoms using 13+ different technical criteria - **Exit Scoring**: Identifies swing tops using inverse criteria for optimal exit timing Unlike traditional strategies that rely on simple indicator crossovers, this system quantifies market conditions through a weighted scoring mechanism, providing objective, data-driven entry and exit decisions. ## Technical Foundation ### Optimized Indicator Parameters The strategy utilizes extensively backtested parameters specifically optimized for MSTR's volatility patterns: **MACD Configuration (3,10,3)**: - Fast EMA: 3 periods (vs standard 12) - Slow EMA: 10 periods (vs standard 26) - Signal Line: 3 periods (vs standard 9) - **Rationale**: These faster parameters provide earlier signal detection while maintaining reliability, particularly effective for MSTR's rapid price movements and high-frequency volatility **RSI Configuration (21-period)**: - Length: 21 periods (vs standard 14) - Oversold: 30 level - Extreme Oversold: 25 level - **Rationale**: The 21-period RSI reduces false signals while still capturing oversold conditions effectively in MSTR's volatile environment **Parameter Adaptability**: While optimized for MSTR, these parameters can be adjusted for other high-volatility instruments. Faster-moving stocks may benefit from even shorter MACD periods, while less volatile assets might require longer periods for optimal performance. ### Scoring System Methodology **Entry Score Components (Minimum 13 points required)**: 1. **RSI Signals** (max 5 points): - RSI < 30: +2 points - RSI < 25: +2 points - RSI turning up: +1 point 2. **MACD Signals** (max 8 points): - MACD below zero: +1 point - MACD turning up: +2 points - MACD histogram improving: +2 points - MACD bullish divergence: +3 points 3. **Price Action** (max 4 points): - Long lower wick (>50%): +2 points - Small body (<30%): +1 point - Bullish close: +1 point 4. **Pattern Recognition** (max 8 points): - RSI bullish divergence: +4 points - Quick recovery pattern: +2 points - Reversal confirmation: +4 points **Exit Score Components (Minimum 13 points required)**: Uses inverse criteria to identify swing tops with similar weighting system. ## Risk Management Features ### Position Sizing & Risk Control - **Single Position Strategy**: 100% equity allocation per trade - **No Overlapping Positions**: Ensures focused risk management - **Configurable Risk/Reward**: Default 5:1 ratio optimized for volatile assets ### Stop Loss & Take Profit Logic - **Dynamic Stop Loss**: Based on recent swing lows with configurable buffer - **Risk-Based Take Profit**: Calculated using risk/reward ratio - **Clean Exit Logic**: Prevents conflicting signals ## Default Settings Optimization ### Key Parameters (Optimized for MSTR/Bitcoin-style volatility): - **Minimum Entry Score**: 13 (ensures high-conviction entries) - **Minimum Exit Score**: 13 (prevents premature exits) - **Risk/Reward Ratio**: 5.0 (accounts for volatility) - **Lower Wick Threshold**: 50% (identifies true hammer patterns) - **Divergence Lookback**: 8 bars (optimal for swing timeframes) ### Why These Defaults Work for MSTR: 1. **Higher Score Thresholds**: MSTR's volatility requires more confirmation 2. **5:1 Risk/Reward**: Compensates for wider stops needed in volatile markets 3. **Faster MACD**: Captures momentum shifts quickly in fast-moving stocks 4. **21-period RSI**: Reduces noise while maintaining sensitivity ## Visual Features ### Score Display System - **Green Labels**: Entry scores ≥10 points (below bars) - **Red Labels**: Exit scores ≥10 points (above bars) - **Large Triangles**: Actual trade entries/exits - **Small Triangles**: Reversal pattern confirmations ### Chart Cleanliness - Indicators plotted in separate panes (MACD, RSI) - TP/SL levels shown only during active positions - Clear trade markers distinguish signals from actual trades ## Backtesting Specifications ### Realistic Trading Conditions - **Commission**: 0.1% per trade - **Slippage**: 3 points - **Initial Capital**: $1,000 - **Account Type**: Cash (no margin) ### Sample Size Considerations - Strategy designed for 100+ trade sample sizes - Recommended timeframes: 4H, 1D for swing trading - Optimal for trending/volatile markets ## Strategy Limitations & Considerations ### Market Conditions - **Best Performance**: Trending markets with clear swings - **Reduced Effectiveness**: Highly choppy, sideways markets - **Volatility Dependency**: Optimized for moderate to high volatility assets ### Risk Warnings - **High Allocation**: 100% position sizing increases risk - **No Diversification**: Single position strategy - **Backtesting Limitation**: Past performance doesn't guarantee future results ## Usage Guidelines ### Recommended Assets & Timeframes - **Primary Target**: MSTR (MicroStrategy) - 5min to 15min timeframes - **Secondary Targets**: High-volatility stocks (TSLA, NVDA, COIN, etc.) - **Crypto Markets**: Bitcoin, Ethereum (with parameter adjustments) - **Timeframe Optimization**: 1min-15min for scalping, 30min-1H for swing scalping ### Timeframe Recommendations - **Primary Scalping**: 5-minute and 15-minute charts - **Active Monitoring**: 1-minute for precise entries - **Swing Scalping**: 30-minute to 1-hour timeframes - **Avoid**: Sub-1-minute (excessive noise) and above 4-hour (reduces scalping opportunities) ## Technical Requirements - **Pine Script Version**: v6 - **Overlay**: Yes (plots on price chart) - **Additional Panes**: MACD and RSI indicators - **Real-time Compatibility**: Confirmed bar signals only ## Customization Options All parameters are fully customizable through inputs: - Indicator lengths and levels - Scoring thresholds - Risk management settings - Visual display preferences - Date range filtering ## Conclusion This scalping strategy represents a comprehensive approach to low timeframe trading that combines multiple technical analysis methods into a cohesive, quantified system specifically optimized for MSTR's unique volatility characteristics. The optimized parameters and scoring methodology provide a systematic way to identify high-probability scalping setups while managing risk effectively in fast-moving markets. The strategy's strength lies in its objective, multi-criteria approach that removes emotional decision-making from scalping while maintaining the flexibility to adapt to different instruments through parameter optimization. While designed for MSTR, the underlying methodology can be fine-tuned for other high-volatility assets across various markets. **Important Disclaimer**: This strategy is designed for experienced scalpers and is optimized for MSTR trading. The high-frequency nature of scalping involves significant risk. Past performance does not guarantee future results. Always conduct your own analysis, consider your risk tolerance, and be aware of commission/slippage costs that can significantly impact scalping profitability.
Pine Script® strategy
by Quant_Trading_Pro
3
LANZ Strategy 1.0 [Backtest]🔷 LANZ Strategy 1.0 — Time-Based Session Trading with Smart Reversal Logic and Risk-Controlled Limit Orders This backtest version of LANZ Strategy 1.0 brings precision to session-based trading by using directional confirmation, pre-defined risk parameters, and limit orders that execute overnight. Designed for the 1-hour timeframe, it allows traders to evaluate the system with configurable SL, TP, and risk settings in a fully automated environment. 🧠 Core Strategy Logic: 1. Directional Confirmation at 18:00 NY: At 18:00 NY, the system compares the 08:00 open vs the 18:00 close: If the direction matches the previous day, the signal is reversed. If the direction differs, the current day's trend is kept. This logic is designed to avoid momentum exhaustion and capture corrective reversals. 2. Entry Level Definition: Based on the confirmed direction: For BUY, the Low of the day is used as Entry Point (EP). For SELL, the High of the day becomes EP. The system plots a Stop Loss and Take Profit based on user-defined pip inputs (default: SL = 18 pips, TP = 54 pips → RR 1:3). 3. Time-Limited Entry Execution (LIMIT Orders): Orders are sent after 18:00 NY and can be triggered anytime between 18:00 and 08:00 NY. If EP is not touched before 08:00, the order is automatically cancelled. 4. Manual Close Feature: If the trade is still open at the configured hour (default 09:00 NY), the system closes all positions, simulating realistic intraday exit scenarios. 5. Lot Size Calculation Based on Risk: Lot size is dynamically calculated using the account size, risk percentage, and SL distance. This ensures consistent risk exposure regardless of market volatility. ⚙️ Step-by-Step Flow: 08:00 NY → Captures the open of the day. 18:00 NY → Confirms direction and defines EP, SL, and TP. After 18:00 NY → If conditions are met, a LIMIT order is placed at EP. Between 18:00–08:00 NY → If price touches EP, the trade is executed. At 08:00 NY → If EP wasn’t touched, the order is cancelled. At Configured Manual Close Time (default 09:00 NY) → All open positions are force-closed if still active. 🧪 Backtest Settings: Timeframe: 1-hour only Order Type: strategy.entry() with limit= SL/TP Configurable: Yes, in pips Risk Input: % of capital per trade Manual Close Time: Fully adjustable (default 09:00 NY) 👨‍💻 Credits: Developed by LANZ Strategy logic and trading concept built with clarity and precision. Code structure and documentation by Kairos, your AI trading assistant. Designed for high-confidence execution and clean backtesting performance.
Pine Script® strategy
by rau_u_lanz
1
Aftershock Playbook: Stock Earnings Drift EngineStrategy type Event-driven post-earnings momentum engine (long/short) built for single-stock charts or ADRs that publish quarterly results. What it does Detects the exact earnings bar (request.earnings, lookahead_off). Scores the surprise and launches a position on that candle’s close. Tracks PnL: if the first leg closes green, the engine automatically re-enters on the very next bar, milking residual drift. Blocks mid-cycle trades after a loss until the next earnings release—keeping the risk contained to one cycle. Think of it as a sniper that fires on the earnings pop, reloads once if the shot lands, then goes silent until the next report. Core signal inputs Component Default Purpose EPS Surprise % +0 % / –5 % Minimum positive / negative shock to trigger longs/shorts. Reverse signals? Off Quick flip for mean-reversion experiments. Time Risk Mgt. Off Optional hard exit after 45 calendar days (auto-scaled to any TF). Risk engine ATR-based stop (ATR × 2 by default, editable). Bar time stop (15-min → Daily: Have to select the bar value ). No pyramiding beyond the built-in “double-tap”. All positions sized as % of equity via Strategy Properties. Visual aids Yellow triangle marks the earnings bar. Diagnostics table (top-right) shows last Actual, Estimate, and Surprise %. Status-line tool-tips on every input. Default inputs Setting Value Positive surprise ≥ 0 % Negative surprise ≤ –5 % ATR stop × 2 ATR length 50 Hold horizon 350 ( 1h timeframe chart bars) Back-test properties Initial capital  10 000 Order size    5 % of equity Pyramiding    1 (internal re-entry only) Commission   0.03 % Slippage     5 ticks Fills      Bar magnifier ✔ · On bar close ✔ · Standard OHLC ✔ How to use Add the script to any earnings-driven stock (AAPL, MSFT, TSLA…). Turn on Time Risk Management if you want stricter risk management Back-test different ATR multipliers to fit the stock’s volatility. Sync commission & slippage with your broker before forward-testing. Important notes Works on every timeframe from 15 min to 1 D. Sweet spot around 30min/1h All request.earnings() & request.security() calls use lookahead_off—zero repaint. The “double-tap” re-entry occurs once per winning cycle to avoid drift-chasing loops. Historical stats ≠ future performance. Size positions responsibly.
Pine Script® strategy
by exlux
Quantum Reversal# 🧠 Quantum Reversal ## **Quantitative Mean Reversion Framework** This algorithmic trading system employs **statistical mean reversion theory** combined with **adaptive volatility modeling** to capitalize on Bitcoin's inherent price oscillations around its statistical mean. The strategy integrates multiple technical indicators through a **multi-layered signal processing architecture**. --- ## ⚡ **Core Technical Architecture** ### 📊 **Statistical Foundation** - **Bollinger Band Mean Reversion Model**: Utilizes 20-period moving average with 2.2 standard deviation bands for volatility-adjusted entry signals - **Adaptive Volatility Threshold**: Dynamic standard deviation multiplier accounts for Bitcoin's heteroscedastic volatility patterns - **Price Action Confluence**: Entry triggered when price breaches lower volatility band, indicating statistical oversold conditions ### 🔬 **Momentum Analysis Layer** - **RSI Oscillator Integration**: 14-period Relative Strength Index with modified oversold threshold at 45 - **Signal Smoothing Algorithm**: 5-period simple moving average applied to RSI reduces noise and false signals - **Momentum Divergence Detection**: Captures mean reversion opportunities when momentum indicators show oversold readings ### ⚙️ **Entry Logic Architecture** ``` Entry Condition = (Price ≤ Lower_BB) OR (Smoothed_RSI < 45) ``` - **Dual-Condition Framework**: Either statistical price deviation OR momentum oversold condition triggers entry - **Boolean Logic Gate**: OR-based entry system increases signal frequency while maintaining statistical validity - **Position Sizing**: Fixed 10% equity allocation per trade for consistent risk exposure ### 🎯 **Exit Strategy Optimization** - **Profit-Lock Mechanism**: Positions only closed when showing positive unrealized P&L - **Trend Continuation Logic**: Allows winning trades to run until momentum exhaustion - **Dynamic Exit Timing**: No fixed profit targets - exits based on profitability state rather than arbitrary levels --- ## 📈 **Statistical Properties** ### **Risk Management Framework** - **Long-Only Exposure**: Eliminates short-squeeze risk inherent in cryptocurrency markets - **Mean Reversion Bias**: Exploits Bitcoin's tendency to revert to statistical mean after extreme moves - **Position Management**: Single position limit prevents over-leveraging ### **Signal Processing Characteristics** - **Noise Reduction**: SMA smoothing on RSI eliminates high-frequency oscillations - **Volatility Adaptation**: Bollinger Bands automatically adjust to changing market volatility - **Multi-Timeframe Coherence**: Indicators operate on consistent timeframe for signal alignment --- ## 🔧 **Parameter Configuration** | Technical Parameter | Value | Statistical Significance | |-------------------|-------|-------------------------| | Bollinger Period | 20 | Standard statistical lookback for volatility calculation | | Std Dev Multiplier | 2.2 | Optimized for Bitcoin's volatility distribution (95.4% confidence interval) | | RSI Period | 14 | Traditional momentum oscillator period | | RSI Threshold | 45 | Modified oversold level accounting for Bitcoin's momentum characteristics | | Smoothing Period | 5 | Noise reduction filter for momentum signals | --- ## 📊 **Algorithmic Advantages** ✅ **Statistical Edge**: Exploits documented mean reversion tendency in Bitcoin markets ✅ **Volatility Adaptation**: Dynamic bands adjust to changing market conditions ✅ **Signal Confluence**: Multiple indicator confirmation reduces false positives ✅ **Momentum Integration**: RSI smoothing improves signal quality and timing ✅ **Risk-Controlled Exposure**: Systematic position sizing and long-only bias --- ## 🔬 **Mathematical Foundation** The strategy leverages **Bollinger Band theory** (developed by John Bollinger) which assumes that prices tend to revert to the mean after extreme deviations. The RSI component adds **momentum confirmation** to the statistical price deviation signal. **Statistical Basis:** - Mean reversion follows the principle that extreme price deviations from the moving average are temporary - The 2.2 standard deviation multiplier captures approximately 97.2% of price movements under normal distribution - RSI momentum smoothing reduces noise inherent in oscillator calculations --- ## ⚠️ **Risk Considerations** This algorithm is designed for traders with understanding of **quantitative finance principles** and **cryptocurrency market dynamics**. The strategy assumes mean-reverting behavior which may not persist during trending market phases. Proper risk management and position sizing are essential. --- ## 🎯 **Implementation Notes** - **Market Regime Awareness**: Most effective in ranging/consolidating markets - **Volatility Sensitivity**: Performance may vary during extreme volatility events - **Backtesting Recommended**: Historical performance analysis advised before live implementation - **Capital Allocation**: 10% per trade sizing assumes diversified portfolio approach --- **Engineered for quantitative traders seeking systematic mean reversion exposure in Bitcoin markets through statistically-grounded technical analysis.**
Pine Script® strategy
by ArganaBridgeCapital
6
[Mustang Algo] Channel Strategy# Mustang Algo Channel Strategy - Universal Market Sentiment Oscillator ## 🎯 ORIGINAL CONCEPT This strategy employs a unique market sentiment oscillator that works on ALL financial assets. It uses Bitcoin supply dynamics combined with stablecoin market capitalization as a macro sentiment indicator to generate universal timing signals across stocks, forex, commodities, indices, and cryptocurrencies. ## 🌐 UNIVERSAL APPLICATION - **Any Asset Class:** Stocks, Forex, Commodities, Indices, Crypto, Bonds - **Market-Wide Timing:** BTC/Stablecoin ratio serves as a global risk sentiment gauge - **Cross-Market Signals:** Trade any instrument using macro liquidity conditions - **Ecosystem Approach:** One oscillator for all financial markets ## 🧮 METHODOLOGY **Core Calculation:** BTC Supply / (Combined Stablecoin Market Cap / BTC Price) - **Data Sources:** DAI + USDT + USDC market capitalizations - **Signal Generation:** RSI(14) applied to the ratio, double-smoothed with WMA - **Timing Logic:** Crossover signals filtered by overbought/oversold zones - **Multi-Timeframe:** Configurable timeframe analysis (default: Daily) ## 📈 TRADING STRATEGY **LONG Entries:** Bullish crossover when market sentiment is oversold (<48) **SHORT Entries:** Bearish crossover when market sentiment is overbought (>55) **Universal Timing:** These macro signals apply to trading any financial instrument ## ⚙️ FLEXIBLE RISK MANAGEMENT **Three SL/TP Calculation Modes:** - **Percentage Mode:** Traditional % based (4% SL, 12% TP default) - **Ticks Mode:** Precise tick-based calculation (50/150 ticks default) - **Pips Mode:** Forex-style pip calculation (50/150 pips default) **Realistic Parameters:** - Commission: 0.1% (adjustable for different asset classes) - Slippage: 2 ticks - Position sizing: 10% of equity (conservative) - No pyramiding (single position management) ## 📊 KEY ADVANTAGES ✅ **Universal Application:** One strategy for all asset classes ✅ **Macro Foundation:** Based on global liquidity and risk sentiment ✅ **False Signal Filtering:** Overbought/oversold zones reduce noise ✅ **Flexible Risk Management:** Multiple SL/TP calculation methods ✅ **No Lookahead Bias:** Clean backtesting with realistic results ✅ **Cross-Market Correlation:** Captures broad market risk cycles ## 🎛️ CONFIGURATION GUIDE 1. **Asset Selection:** Apply to stocks, forex, commodities, indices, crypto 2. **Timeframe Setup:** Daily recommended for swing trading 3. **Sentiment Bounds:** Adjust 48/55 levels based on market volatility 4. **Risk Management:** Choose appropriate SL/TP mode for your asset class 5. **Direction Filter:** Select Long Only, Short Only, or Both ## 📋 BACKTESTING STANDARDS **Compliant with TradingView Guidelines:** - ✅ Realistic commission structure (0.1% default) - ✅ Appropriate slippage modeling (2 ticks) - ✅ Conservative position sizing (10% equity) - ✅ Sustainable risk ratios (1:3 SL/TP) - ✅ No lookahead bias (proper historical simulation) - ✅ Sufficient sample size potential (100+ trades possible) ## 🔬 ORIGINAL RESEARCH This strategy introduces a revolutionary approach to financial markets by treating the BTC/Stablecoin ratio as a global risk sentiment gauge. Unlike traditional indicators that analyze individual asset price action, this oscillator captures macro liquidity flows that affect ALL financial markets - from stocks to forex to commodities. ## 🎯 MARKET APPLICATIONS **Stocks & Indices:** Risk-on/risk-off sentiment timing **Forex:** Global liquidity flow analysis for major pairs **Commodities:** Risk appetite for inflation hedges **Bonds:** Flight-to-safety vs. risk-seeking behavior **Crypto:** Native application with direct correlation ## ⚠️ RISK DISCLOSURE - Designed for intermediate to long-term trading across all timeframes - Market sentiment can remain extreme longer than expected - Always use appropriate position sizing for your specific asset class - Adjust commission and slippage settings for different markets - Past performance does not guarantee future results ## 🚀 INNOVATION SUMMARY **What makes this strategy unique:** - First to use BTC/Stablecoin ratio as universal market sentiment indicator - Applies macro-economic principles to technical analysis across all assets - Single oscillator provides timing signals for entire financial ecosystem - Bridges traditional finance with digital asset insights - Combines fundamental liquidity analysis with technical precision
Pine Script® strategy
by MustangAlgo
Multi-Timeframe Wolfe Wave StrategyThis invite-only strategy implements an advanced multi-timeframe Wolfe Wave pattern recognition system specifically designed for institutional-grade algorithmic trading environments. **Core Mathematical Framework:** The strategy employs sophisticated mathematical calculations across 10 distinct timeframes (377, 233, 144, 89, 55, 34, 21, 13, 8, 5 periods), utilizing Elliott Wave ratio theory combined with proprietary algorithmic enhancements. Unlike standard Wolfe Wave implementations that rely on visual pattern recognition, this system uses quantitative analysis to identify precise entry and exit points. **Technical Implementation:** • **Pattern Detection Algorithm:** Calculates price relationships using configurable ratio sets including Fibonacci sequences, Elliott Wave ratios, Golden Ratio, Harmonic Patterns, Pi-based calculations, and custom mathematical progressions • **Multi-Timeframe Confluence:** Simultaneously analyzes patterns across all timeframes to ensure signal reliability and reduce false positives • **Dynamic Target Calculation:** Employs advanced mathematical modeling to project optimal profit targets based on historical price behavior and pattern completion theory • **Risk Management Engine:** Implements position-based stop losses calculated as percentages of target profits, with liquidation price monitoring for leveraged positions **Originality and Innovation:** This implementation differs significantly from traditional Wolfe Wave indicators through several key innovations: 1. **Algorithmic Pattern Validation:** Uses mathematical confirmation across multiple timeframes rather than subjective visual analysis 2. **Adaptive Ratio Selection:** Offers 24 different ratio calculation methods, allowing optimization for various market conditions 3. **Institutional Integration:** Features comprehensive webhook messaging for automated execution via external trading systems 4. **Advanced Position Management:** Includes sophisticated position sizing controls with maximum concurrent position limits **Strategy Logic:** For bullish conditions, the algorithm identifies when price action meets specific mathematical criteria: - Point validation through ratio analysis between swing highs/lows - Confluence confirmation across multiple timeframes - Minimum profit threshold filtering to ensure trade quality - Dynamic stop-loss positioning based on pattern geometry The mathematical approach uses proprietary calculations that extend beyond traditional Fibonacci levels, incorporating elements from chaos theory, fractal geometry, and advanced statistical analysis. **Risk Management Features:** • Configurable stop-loss percentages relative to profit targets • Maximum position limits to control portfolio exposure • Liquidation price monitoring for margin trading • Time-based filtering options for market session control • Minimum profit threshold settings to filter low-quality signals **Intended Markets and Conditions:** Optimized for cryptocurrency markets with high volatility and sufficient liquidity. Works effectively in trending and ranging market conditions due to its multi-timeframe approach. Best suited for assets with clear swing structure and adequate price movement. **Performance Characteristics:** The strategy is designed for active trading with frequent position entries across multiple timeframes. Position holding periods vary from short-term scalping to medium-term swing trading depending on pattern completion timeframes. **Technical Requirements:** Requires understanding of advanced pattern recognition theory, risk management principles, and algorithmic trading concepts. Users should be familiar with Wolfe Wave methodology and Elliott Wave theory fundamentals.
Pine Script® strategy
by Herif
GStrategy 1000Pepe 15mTrend Following Candlestick Strategy with EMA Filter and Exit Delay Strategy Concept This strategy combines candlestick patterns with EMA trend filtering to identify high-probability trade entries, featuring: Entry Signals: Hammer and Engulfing patterns confirmed by EMA trend Trend Filter: Fast EMA (20) vs Slow EMA (50) crossover system Risk Management: 5% stop-loss + 1% trailing stop Smart Exit: 2-bar delay after exit signals to avoid whipsaws Key Components Trend Identification: Uptrend: Fast EMA > Slow EMA AND rising Downtrend: Fast EMA < Slow EMA AND falling Entry Conditions: pinescript // Bullish Entry (Long) longCondition = (Hammer OR Bullish Engulfing) AND Uptrend AND no existing position // Bearish Entry (Short) shortCondition = Bearish Engulfing AND Downtrend AND no existing position Exit Mechanics: Primary Exit: EMA crossover (Fast crosses Slow) Delayed Execution: Waits 2 full candles after signal Emergency Exits: 5% fixed stop-loss 1% trailing stop Visual Dashboard: Colored EMA lines (Blue=Fast, Red=Slow) Annotated candlestick patterns Background highlighting for signals Distinct markers for entries/exits Unique Features Pattern Recognition: Enhanced Hammer detection (strict body/wick ratios) Multi-candle engulfing confirmation Trend-Confirmation: Requires price and EMA alignment Filters counter-trend patterns Exit Optimization: pinescript // Delay implementation if exit_signal_triggered counter := 2 // Start countdown else if counter > 0 counter -= 1 // Decrement each bar exit_trade = (counter == 1) // Execute on final bar Risk Parameters Parameter Value Description Stop Loss 5% Fixed risk per trade Trailing Stop 1% Locks in profits Exit Delay 2 bars Reduces false exits Position Size 100% No pyramiding Visualization Examples 🟢 Green Triangle: Bullish entry 🔴 Red Triangle: Bearish entry ⬇️ Blue X: Long exit (after delay) ⬆️ Green X: Short exit (after delay) 🎯 Pattern Labels: Identifies hammer/engulfing Recommended Use Timeframes: 1H-4H (reduces noise) Markets: Trend-prone assets (FX, indices) Best Conditions: Strong trending markets Avoid: Choppy/Ranging markets
Pine Script® strategy
by Graali
2
SDR Market Structure (liv3) 1.0🧠 SDR Market Structure (LIV3) v1.0 Precision-Based Market Structure & Momentum Scalping Strategy Type: Market Structure-Based Scalping Built For: Intraday, Scalping, Trend-Following or Reversal entries with confirmation filters Assets: All (optimized for FX and indices) Timeframes: 1min to 15min (ideal for scalping); higher TFs can be used for structure alignment 🎯 Strategy Overview SDR Market Structure is a robust scalping strategy that combines structural market context (Change-of-Character, Break of Structure) with a modular system of technical filters that advanced traders can toggle on/off. The strategy is adaptable and surgical, designed to find high-probability trade entries during momentum shifts, liquidity grabs, and trend continuations. This script supports fine-tuned risk management, multiple confirmation layers, and intraday session filtering, allowing experienced traders to tailor it for precision-based trading in varying volatility regimes. 🔍 Core Logic: CHoCH and Market Structure At the heart of SDR Scalper is Change-of-Character (CHoCH) detection: Bullish CHoCH: Occurs when price breaks above a recent swing high (pivot) after making a lower low, implying a potential reversal or continuation. Bearish CHoCH: Triggers when price breaks below a recent swing low after making a higher high. Once a CHoCH is identified: Entry is confirmed only if all selected filters pass, ensuring high-confidence setups. SL is placed at the most recent swing low/high or an optional looser SL based on fractals. Break-even logic moves SL to entry upon hitting 1R. Risk-Reward ratio is fully customizable. 🛠️ Advanced Filter Modules Each filter module below can be toggled independently, allowing for custom filtering strategies based on trading conditions. 1️⃣ HTF EMA Filter Purpose: Confirms trend bias using a higher timeframe EMA (e.g., 55 EMA on 15-min TF). Logic: Longs: Entry only allowed if price > HTF EMA Shorts: Entry only allowed if price < HTF EMA Why Use It: Prevents counter-trend trades. Excellent when used during trending sessions. Best Paired With: EMA crossover filter or RSI for intraday trend alignment. 2️⃣ EMA Crossover Filter Inputs: Fast EMA (default 10), Slow EMA (default 50) Logic: Longs: Fast EMA must be above Slow EMA Shorts: Fast EMA below Slow EMA Enhancement: Adds a moving average structure filter to CHoCH. Good for filtering false breakouts during sideways markets. Combo Tip: Use alongside RSI/MACD filters to confirm trend momentum. 3️⃣ RSI Filter Default Period: 14 Logic: Longs: RSI > threshold (default 50) Shorts: RSI < threshold Edge: Useful for momentum confirmation in trending conditions. Advanced Use: Raise thresholds to 60/40 in strong trends. Combine with MACD to filter momentum exhaustion. 4️⃣ MACD Histogram Filter MACD Histogram > 0: Long entries only MACD Histogram < 0: Short entries only Purpose: Measures positive/negative momentum shifts, helpful in volatile breakouts. Pro Tip: Combine with ROC filter in fast-moving markets for maximum edge. 5️⃣ Rate of Change (ROC) Filter Default: 9-period Logic: Longs: ROC > threshold (default 0.0) Shorts: ROC < threshold Why It Works: Captures short bursts of momentum often missed by other lagging indicators. Combos That Work: MACD + ROC: Double momentum filter ROC + EMA crossover: Catch high-speed trend continuations 6️⃣ Stochastic RSI Filter Parameters: Customizable %K and %D smoothing Logic: Longs: StochRSI > threshold and K > D Shorts: StochRSI < threshold and K < D Use Case: Effective for mean-reversion and momentum crossovers near S/R zones. Advanced Tip: Use in ranging markets or to fade extended trends. 7️⃣ Time Filter Customize Start/End Time: Default is 09:30 - 16:00 (New York session) Supports Time Zones: Input via string (e.g., GMT+0, EST, etc.) Visual Aid: Background shading for valid sessions. Benefits: Avoids low-liquidity or overnight trading periods. Prevents false signals in pre/post-market sessions. 8️⃣ Loose Stop-Loss Option If Enabled: SL placed 1 fractal beyond the last pivot. Why: Helps in volatile assets like crypto where swing points are commonly breached before reversals. Note: Should be used with tight risk controls or lower position sizing. 💼 Risk Management & Break-Even Logic Risk-to-Reward Ratio: Adjustable via input Auto TP & SL: Based on defined RR and recent structure Break-Even Feature: Moves SL to entry after 1R is reached to protect capital 📈 Strategy Display Elements CHoCH & BoS Labels: Visual confirmation of structure breaks Liquidity Sweep (✖): Optional display for potential stop hunts Trend Color Candles: Highlights bullish or bearish candle clusters Session Overlay: Displays active time window on chart ⚙️ Recommended Configurations Objective Suggested Filters Trend Scalping HTF EMA + EMA Crossover + RSI Volatility Breakouts ROC + MACD Histogram + Time Filter Mean Reversion Stochastic RSI + RSI Structure-Only Mode Disable all filters except Time Filter Conservative Mode Enable all filters with tightened thresholds 📌 Final Notes This script is highly modular and is not a one-size-fits-all strategy. It is a framework that allows advanced traders to apply contextual judgment and optimize entries based on confluence. Extensive backtesting per asset and timeframe is highly recommended. 🛠️ Strategy Parameters Summary ✅ Market Structure Entry (CHoCH) ✅ Smart SL & Break-Even Logic ✅ Modular Momentum Filters (RSI, MACD, ROC, StochRSI) ✅ Trend Filters (HTF EMA, EMA Cross) ✅ Session Filtering & Visualization ✅ Liquidity Sweeps (optional) pinescript version5
Pine Script® strategy
by TheSawce23
Supply/Demand Zones + Engulfment-based ExecutionSupply/Demand Zones + Engulfment-Based Execution Strategy Overview This strategy combines institutional trading concepts—supply/demand zones and engulfing candle patterns—to generate high-probability long and short trade setups. The system uses aggregated price action to identify potential reversal zones and confirms entries with engulfing candle patterns, ensuring trades are only taken when market structure shows commitment in the direction of the trade. Core Concepts • Supply & Demand Zones: These are automatically detected by analyzing aggregated bullish and bearish candle structures over user-defined intervals. Supply zones are formed after bearish continuation patterns; demand zones appear after bullish continuation patterns. • Engulfing Entries: Once price enters a zone, the strategy waits for a bullish engulfing pattern (in a demand zone) or a bearish engulfing pattern (in a supply zone) before executing a trade. This adds confirmation and reduces false signals. • Risk Management: Stop-loss is placed at the low (for long trades) or high (for short trades) of the engulfed candle. Take-profit can be calculated using a fixed R-multiple (risk-to-reward ratio) or a user-defined target price. Key Features Fully customizable aggregation factor for zone detection Visual zone boxes, entry/SL/TP boxes, and engulfing pattern labels Optional removal of mitigated zones for cleaner charting Configurable trade mode (Long only, Short only, or Both) Support for trading sessions and date filtering Alerts for price entering supply or demand zones How to Use Select Aggregation Factor: Choose how many candles to group together for identifying key zones (e.g., 4x timeframe). Enable Zones: Turn on supply and/or demand zones as needed. Set Execution Parameters: – Choose R-multiple (e.g., 2:1 risk-reward) – Or use a fixed take-profit price Define Trade Time Window: – Set the date and time ranges to restrict execution – Use Start Hour and End Hour to limit trades to specific sessions (e.g., London/New York) Run on Desired Timeframe: Typically used on 15m–4H charts, depending on your strategy and the asset’s volatility. Ideal For • Traders using Smart Money Concepts (SMC) • Those who value high-confluence entries • Intraday to swing traders looking for structure-based automation ⚠️ Important Notes • The strategy requires engulfing confirmation within the zone to enter a position. • This script does not repaint and executes trades on a bar close basis. • Backtest results may vary based on session filters and aggregation factor. © Attribution This strategy was developed by The_Forex_Steward and is licensed under the Mozilla Public License 2.0. You are free to use, modify, and distribute it under the terms of that license.
Pine Script® strategy
by The_Forex_Steward
AutoFib Breakout Strategy for Uptrend AssetsThis trading strategy is designed to help you catch powerful upward moves on assets that are in a long-term uptrend, such as Gold (XAUUSD). It uses a popular technical tool called the Fibonacci Extension, combined with a trend filter and a risk-managed exit system. ✅ When to Use This Strategy • Works best on higher timeframes: Daily (1D), 3-Day (3D), or Weekly (W). • Best used on uptrending assets like Gold. • Designed for swing trading – holding trades from a few days to weeks. 📊 How It Works 1. Find the Trend We only want to trade in the direction of the trend. • The strategy uses the 200-period EMA (Exponential Moving Average) to identify if the market is in an uptrend. • If the price is above the 200 EMA, we consider it an uptrend and allow long trades. 2. Identify Breakout Levels • The strategy detects recent high and low pivot points to draw Fibonacci extension levels. • It focuses on the 1.618 Fibonacci level, which is often a target in strong trends. • When the price breaks above this level in an uptrend, it signals a potential momentum breakout – a good time to buy. 3. Enter a Trade • The strategy enters a long (buy) position when the price closes above the 1.618 Fibonacci level and the market is in an uptrend (above the 200 EMA). 4. Manage Risk Automatically • The trade includes a stop-loss set to 1x the ATR (Average True Range) below the entry price – this protects against sudden drops. • It sets a take-profit at 3x the ATR above the entry – aiming for higher rewards than risks. ⚠️ Important Notes • 📈 Higher Timeframes Preferred: This strategy works best on Daily (D), 3-Day (3D), and Weekly (W) charts, especially on Gold (XAUUSD). • 🧪 Not for Deep Backtesting: Due to the nature of how pivot points and Fib levels are calculated, this strategy may not perform well in backtesting simulations (because the historical calculations can shift). It is better used for live analysis and forward testing.
Pine Script® strategy
by SupertradeOfficial
Antony.N4A -NQ ORB Quartile Str v6.3Antony.N4A – NQ ORB Quartile Strategy v6.3 A precision-engineered intraday breakout system built for the Nasdaq futures market, combining the Opening Range Breakout (ORB) logic with dynamic standard deviation targets, structural filters, and multi-layer risk management. 🧠 Key Features Opening Range Breakout (ORB): Automatically defines a breakout window (default: 09:30–09:45) and triggers entries when price breaks the high or low of that range. Standard Deviation Profit Targets: Supports SD0.5, SD1.0, SD1.5, and SD2.0 targets relative to the ORB range. EMA Filtering (200-period): Filters trades based on EMA direction and price position to validate breakout direction and avoid false entries. Range Filtering: Detects directional bias and volatility trends using smoothed range logic. Momentum Triggering: Validates breakout momentum and allows entries when directional momentum is positive and increasing. ⚙️ User Inputs ORB Settings: Timeframe, session, and timezone customization Entry Window: Define when trades are allowed to trigger Day Filters: Enable/disable trading by weekday SD Targets: Configure exit % and active levels (SD0.5 – SD2.0) EMA Filter & Sensitivity Cross Filter (Anti-chop logic) Range Filter Parameters Visual Toggles: ORB range, SD levels, EMA clouds 🎯 Trade Management Rules Entry: Triggered at the close of a 5-minute candle confirming a breakout of the ORB range. Stop Loss: Defined by structural invalidation (quartile boundaries & mid-range buffers). Take Profit Strategy: 75% closed at SD1.0 level Remaining 25% trailed to further SD2 target SL is moved to breakeven after partial exit Execution Controls: No pyramiding No re-entries (cooldown enforced) 🔧 Trading Modes ✅ Safe Mode EMA Filter: Enabled EMA Sensitivity: 19 Range Filter: Disabled Ideal for conservative setups and reduced noise environments 🔥 Aggressive Mode EMA Filter: Enabled EMA Sensitivity: 5 Range Filter: Disabled Suited for high-frequency setups and faster breakouts 📊 Backtest Performance (7-Month Sample) Safe Mode: Win Rate: 66% Total Trades: 29 Net PnL: +21.79R (~$4,357 with R = $200) Max Red Days: 3 Max Drawdown: -$663 Best Month: +9R, Worst Month: -2R Aggressive Mode: Win Rate: 63% Total Trades: 52 Net PnL: +30R (~$6,080) Max Red Days: 6 Max Drawdown: -$1,357 Best Month: +12R, Worst Month: -3.2R 👨‍💻 Developed by Antony.N4A This tool is crafted for strategic intraday traders, system developers, and backtesters. For access, customization, or licensing options, contact the developer directly. Protected script. Redistribution or reuse without permission is prohibited.
Pine Script® strategy
by Antony_N4A
4
Chaikin Momentum Scalper🎯 Overview The Chaikin Momentum Scalper is a powerful trading strategy designed to identify momentum shifts in the market and ride the trend for maximum profits. This strategy is ideal for trading the USD/JPY currency pair on a 15-minute chart, making it perfect for high-frequency trading (HFT). Whether you’re starting with a small account of $1,000 or managing a larger portfolio, this strategy can scale to suit your needs. ________________________________________ 🔑 How the Strategy Works Here’s how the Chaikin Momentum Scalper identifies trade opportunities: 1️⃣ Momentum Detection The core of this strategy is the Chaikin Oscillator, a tool that measures the flow of money into or out of a market. It helps us understand whether buyers (bulls) or sellers (bears) are in control. • When the indicator crosses above zero, it signals that buying momentum is picking up – a buying opportunity. • When the indicator crosses below zero, it signals that selling momentum is increasing – a selling opportunity. 2️⃣ Trend Confirmation We don’t just jump into trades based on momentum alone. We also use a 200-period simple moving average (SMA) to confirm the overall trend. • If the price is above the SMA, it confirms an uptrend, so we look for buy trades. • If the price is below the SMA, it confirms a downtrend, so we look for sell trades. This way, we align our trades with the broader market direction for higher success rates. 3️⃣ Volatility & Risk Management We use a tool called the Average True Range (ATR) to measure market volatility. This helps us: • Set a stop-loss (where we’ll exit the trade if the market moves against us) at a safe distance from our entry point. • Set a take-profit (where we’ll lock in profits) at a target that’s larger than the stop-loss, ensuring a good reward-to-risk ratio. This approach adapts to the market’s behavior, tightening stops in calmer conditions and widening them when volatility increases. ________________________________________ 📈 Why This Strategy Works ✅ It combines momentum and trend-following principles, increasing the chances of trading in the right direction. ✅ It dynamically adjusts risk levels based on market volatility, keeping losses small and profits big. ✅ It’s scalable – perfect for both small accounts (like $1,000) and larger, corporate-sized portfolios. ✅ It has been deep-backtested on USD/JPY 15-minute charts, proving its consistency across different market conditions. ________________________________________ 📝 Important Notes 📌 This strategy is best used for USD/JPY on a 15-minute chart, making it great for high-frequency trading while you continue to build and refine your trading system. 📌 It’s designed to work on both small ($1,000+) and large accounts, so it can grow with you as your capital increases. 📌 While it has passed deep backtesting on this pair and timeframe, remember that no strategy is perfect. It’s crucial to test it yourself, start with a demo account, and apply proper risk management before trading real money. 🌟 Final Thoughts The Chaikin Momentum Scalper is a solid, adaptable trading approach combining momentum, trend direction, and volatility awareness. If you’re looking for a strategy to kick-start your trading journey—or to add to your existing system—it offers a strong foundation.
Pine Script® strategy
by SupertradeOfficial
ORB 5M + VWAP + Braid Filter + TP 2R o Niveles PreviosORB 5-Minute Breakout Strategy Summary Strategy Name: ORB 5M + VWAP + Braid Filter + TP 2R or Previous Levels Timeframe: 5-minute chart Trading Window: 9:35 AM to 11:00 AM (New York time) ✅ Entry Conditions: Opening Range: Defined from 9:30 to 9:35 AM (first 5-minute candle). Breakout Entry: Long trade: Price breaks above the opening range high. Short trade: Price breaks below the opening range low. Confirmation Filters (All must be met): Strong candle (green for long, red for short). VWAP in the direction of the trade. Braid Filter by Mango2Juice supports the breakout direction (green for long, red for short). 📉 Stop Loss: Placed at the opposite side of the opening range. 🎯 Take Profit (TP): +2R (Risk-to-Reward Ratio of 2:1), or Closest of the following: previous day’s high/low or premarket levels. ⚙️ Additional Rules: Only valid signals between 9:35 and 11:00 AM. Only one trade per breakout direction per day. Filter out "trap candles" (very small or indecisive candles). Avoid trading after 11:00 AM. 📊 Performance Goals: Maintain a high Profit Factor (above 3 ideally). Focus on tickers with good historical performance under this strategy (e.g., AMZN, PLTR, CVNA).
Pine Script® strategy
by Ay_bXr