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EMA 12-26-100 Momentum Strategy# Triple EMA Multi-Signal Momentum Strategy ## 📊 Overview **Triple EMA Multi-Signal** is a comprehensive trend-following momentum strategy designed specifically for cryptocurrency markets. It combines multiple technical indicators and signal types to identify high-probability trading opportunities while maintaining strict risk management protocols. The strategy excels in trending markets and uses adaptive position sizing with trailing stops to maximize profits during strong trends while protecting capital during choppy conditions. ## 🎯 Core Algorithm ### Triple EMA System The strategy employs a three-layer EMA system to identify trend direction and strength: - **Fast EMA (12)**: Quick response to price changes - **Slow EMA (26)**: Confirmation of trend direction - **Trend EMA (100)**: Overall market bias filter Trades are only taken when all three EMAs align in the same direction, ensuring we trade with the dominant trend. ### Multi-Signal Confirmation (8 Signal Types) The strategy requires at least 1-2 confirmed signals from multiple independent sources before entering a position: 1. **EMA Crossover** - Fast EMA crossing Slow EMA (primary signal) 2. **MACD Cross** - MACD line crossing signal line (momentum confirmation) 3. **RSI Reversal** - RSI bouncing from oversold/overbought zones 4. **Price Action** - Strong bullish/bearish candles (>60% of range) 5. **Volume Spike** - Above-average volume confirmation 6. **Breakout** - Price breaking 20-period high/low with volume 7. **Pullback to EMA** - Trend continuation after healthy retracement 8. **Bollinger Bounce** - Price bouncing from BB bands This multi-signal approach significantly reduces false signals and improves win rate. ## 💰 Risk Management ### Position Sizing - Default: 20-25% of equity per trade - Adjustable based on risk tolerance - Smaller positions recommended for leveraged trading ### Stop Loss & Take Profit - **Stop Loss**: 2.0% (tight control of risk) - **Take Profit**: 5.5% (2.75:1 reward-to-risk ratio) - Both levels are fixed at entry to avoid emotional decisions ### Trailing Stop System - Activates after 1.8% profit - Trails at 1.3% below current price - Locks in profits during extended trends - Automatically adjusts as price moves in your favor ### Maximum Hold Time - 36-48 hours maximum (configurable) - Designed to minimize funding rate costs on futures - Forces position closure to avoid excessive exposure - Helps maintain capital velocity ## 📈 Key Features ### Trend Filters - **ADX Filter**: Ensures sufficient trend strength (threshold: 20) - **EMA Alignment**: All three EMAs must confirm trend direction - **RSI Boundaries**: Avoids extreme overbought/oversold entries ### Volume Analysis - Volume must exceed 20-period moving average - Configurable multiplier (default: 1.0x) - Helps identify institutional participation ### Automatic Exit Conditions 1. Take Profit target reached 2. Stop Loss triggered 3. Trailing stop activated 4. Trend reversal (EMA cross in opposite direction) 5. Maximum hold time exceeded ## 🎮 Recommended Settings ### For Spot Trading (Conservative) ``` Position Size: 15-20% Stop Loss: 2.5% Take Profit: 6.0% Max Hold: 72 hours Leverage: 1x ``` ### For Futures 3-5x Leverage (Balanced) ``` Position Size: 12-15% Stop Loss: 2.0% Take Profit: 5.5% Max Hold: 36 hours Trailing: Active ``` ### For Aggressive Trading 5-10x (High Risk) ``` Position Size: 8-12% Stop Loss: 1.5% Take Profit: 4.5% Max Hold: 24 hours ADX Filter: Disabled ``` ## 📊 Performance Metrics ### Backtested Results (BTC/USDT 1H, 2 years) - **Total Return**: ~19% (spot) / ~75% (5x leverage)* - **Total Trades**: 240-300 - **Win Rate**: 49-52% - **Profit Factor**: 1.25-1.50 - **Max Drawdown**: ~18-22% - **Average Trade**: 0.5-3 days *Leverage results exclude funding rates and real-world slippage ### Optimal Timeframes - **1 Hour**: Best for active trading (recommended) - **4 Hour**: More stable, fewer signals - **15 Min**: High frequency (requires monitoring) ### Best Performing Assets - BTC/USDT (most tested) - ETH/USDT - Major altcoins with good liquidity - Not recommended for low-cap or illiquid pairs ## ⚙️ How to Use 1. **Add to Chart**: Apply strategy to 1H BTC/USDT chart 2. **Adjust Settings**: Configure risk parameters based on your preference 3. **Review Signals**: Green = Long, Red = Short, labels show signal count 4. **Monitor Performance**: Check strategy tester for detailed statistics 5. **Optimize**: Use strategy optimization to find best parameters for your market ## 🎨 Visual Indicators The strategy provides clear visual feedback: - **EMA Lines**: Blue (Fast), Red (Slow), Orange (Trend) - **BUY/SELL Labels**: Show entry points with signal count - **Stop/Target Lines**: Red (SL), Green (TP) displayed during active trades - **Background Color**: Light green (long), light red (short) when in position - **Info Panel**: Shows current trend, RSI, ADX, and volume status ## ⚠️ Important Notes ### Risk Disclaimer - This strategy is for educational purposes only - Past performance does not guarantee future results - Cryptocurrency trading involves substantial risk - Only trade with capital you can afford to lose - Always use proper position sizing and risk management ### Limitations - Performs poorly in sideways/choppy markets - Requires sufficient liquidity for best execution - Backtests do not include: - Real-world slippage (especially during volatility) - Funding rates (for perpetual futures) - Exchange downtime or connection issues - Emotional trading decisions ### For Futures Trading If using this strategy on futures with leverage: - Reduce position size proportionally to leverage - Account for funding rates (~0.01% per 8h) - Set max hold time to minimize funding costs - Use lower leverage (3-5x max recommended) - Monitor liquidation price carefully ## 🔧 Customization All parameters are fully customizable: - EMA periods (fast/slow/trend) - MACD settings (12/26/9) - RSI levels (30/70) - Stop Loss / Take Profit percentages - Trailing stop activation and offset - Volume multiplier - ADX threshold - Maximum hold time ## 📚 Strategy Logic The strategy follows this decision tree: ``` 1. Check Trend Direction (EMA alignment) ↓ 2. Scan for Entry Signals (8 types) ↓ 3. Confirm with Filters (ADX, Volume, RSI) ↓ 4. Enter Position with Fixed SL/TP ↓ 5. Monitor for Exit Conditions: - TP Hit → Close with profit - SL Hit → Close with loss - Trailing Active → Follow price - Trend Reversal → Close position - Max Time → Force close ``` ## 🎓 Best Practices 1. **Start Conservative**: Use smaller position sizes initially 2. **Track Performance**: Monitor actual vs backtested results 3. **Optimize Regularly**: Market conditions change, adapt parameters 4. **Combine with Analysis**: Don't rely solely on automated signals 5. **Manage Emotions**: Stick to the system, avoid manual overrides 6. **Paper Trade First**: Test on demo before risking real capital ## 📞 Support & Updates This strategy is actively maintained and updated based on: - Market condition changes - User feedback and suggestions - Performance optimization - Bug fixes and improvements ## 🏆 Conclusion Triple EMA Multi-Signal Strategy offers a robust, systematic approach to cryptocurrency trading by combining trend following, momentum indicators, and strict risk management. Its multi-signal confirmation system helps filter false signals while the trailing stop mechanism captures extended trends. The strategy is suitable for both manual traders looking for high-probability setups and algorithmic traders seeking a proven systematic approach. **Remember**: No strategy wins 100% of the time. Success comes from consistent application, proper risk management, and continuous adaptation to changing market conditions. --- *Version: 1.0* *Last Updated: November 2025* *Tested on: BTC/USDT, ETH/USDT (1H, 4H timeframes)* *Recommended Capital: $5,000+ for optimal position sizing*
Estratégia Pine Script®
por RomanEnlil
RC - Crypto Scalper v3Cryptocurrency scalping strategy for perpetual futures with risk management and automation capabilities. ## Strategy Overview This strategy identifies high-probability scalping opportunities in cryptocurrency perpetual futures markets using adaptive position sizing, dynamic stop losses, and intelligent exit management to maintain consistent risk-adjusted returns across varying market conditions. ## Technical Foundation The strategy employs exponential moving averages for trend detection, Bollinger Bands for volatility measurement and mean reversion signals, RSI for momentum confirmation and overbought/oversold conditions, ATR for dynamic volatility-based stop placement, and VWAP for institutional price level identification. These technical indicators are combined with volume analysis and optional multi-timeframe confirmation to filter low-probability setups. ## Entry Methodology The strategy identifies trading opportunities using three complementary approaches that can be enabled individually or in combination: Momentum-Based Entries: Detects directional price movements aligned with short-term and intermediate-term trend indicators, with momentum oscillator confirmation to avoid entries at exhaustion points. Volume analysis provides additional confirmation of institutional participation. Mean Reversion Entries: Identifies price extremes using statistical volatility bands combined with momentum divergence, targeting high-probability reversal zones in ranging market conditions. Entries require initial price structure confirmation to reduce false signals. Institutional Flow Entries: Monitors volume-weighted price levels to identify areas where institutional orders are likely concentrated, entering on confirmed breaks of these key levels with supporting directional bias from trend indicators. Each methodology uses distinct combinations of the technical indicators mentioned above, with specific parameter relationships and confirmation requirements that can be customized based on trader preference and market conditions. ## Exit Framework Adaptive Stop Loss: Uses ATR-based stops (default 0.7x multiplier on 14-period ATR) that automatically adjust to current market volatility. Stop distance expands during volatile periods to avoid premature stops while tightening during consolidation to protect capital. Alternative percentage-based stops available for traders preferring fixed-distance risk management. Trailing Profit System: Employs a dual-target exit approach combining fixed limit orders with dynamic trailing stops. The system activates trailing stops when positions reach profitable thresholds, allowing winning trades to capture extended moves while protecting accumulated gains. The high fixed limit (6R default) serves as a ceiling for exceptional moves while the trailing mechanism handles the majority of exits at optimal profit levels. Time-Based Management: Implements maximum holding period constraints (50 bars default) to prevent capital from being trapped in directionless price action. This ensures consistent capital turnover and prevents the strategy from holding through extended consolidation periods. Breakeven Protection: Automatically adjusts stop loss to entry price plus commission costs once trades reach predefined profit thresholds (0.7R default), eliminating downside risk on positions that have demonstrated directional follow-through. ## Risk Management Position Sizing: Dynamic position sizing based on account equity percentage risk model (2% default). Calculates optimal position size based on entry price, stop distance, and account risk tolerance. Includes maximum position exposure caps and minimum position size thresholds to ensure practical trade execution. Daily Loss Limits: Automatic trading suspension when intraday losses exceed configured threshold (5% of equity default). Prevents catastrophic drawdown days and removes emotional decision-making during adverse market conditions. Resets automatically at the start of each new trading day. Leverage Controls: Comprehensive leverage monitoring with built-in liquidation protection for margined positions. Strategy calculates liquidation prices based on leverage settings and automatically closes positions approaching critical margin levels, preventing forced liquidations. Exposure Management: Multiple layers of position size controls including maximum position value as percentage of equity (50% default), leverage-adjusted margin requirements, and minimum capital availability thresholds before opening new positions. ## Market Filters Session-Based Filtering: Configurable trading windows for Asian (00:00-08:00 UTC), London (08:00-16:00 UTC), and New York (13:00-21:00 UTC) sessions. Allows traders to focus on specific market hours or avoid illiquid periods based on their asset and trading style. Volatility Requirements: Minimum and maximum ATR percentage thresholds ensure strategy only operates within optimal volatility ranges. Prevents trading during both insufficient movement periods and extreme volatility events where execution quality deteriorates. Trend Alignment: Optional higher timeframe trend filter ensures directional bias aligns with broader market structure, reducing counter-trend entries during strong directional moves. Volume Confirmation: Configurable volume requirements for entry validation, ensuring sufficient market participation and reducing false signals during low-liquidity periods. ## Automation Support Built-in webhook integration generates JSON payloads compatible with popular broker automation platforms. Alert system provides comprehensive notifications for all entry signals, exit executions, risk limit breaches, and daily trading status updates. Supports both automated and manual execution workflows. ## Settings Explanation Initial Capital: $5,000 Selected as realistic starting point for retail traders entering crypto futures markets. Strategy scales proportionally - larger accounts show similar percentage returns with proportionally larger absolute gains and position sizes. Risk Per Trade: 2% Conservative default providing significant drawdown tolerance. With 51% historical win rate and positive expectancy, risking 2% per trade allows for extended losing streaks without account impairment. Adjustable from 0.5% (very conservative) to 5% (aggressive, experienced traders only). Leverage: 10x Standard cross-margin leverage for cryptocurrency perpetual futures. Combined with 2% risk setting and maximum 50% equity position size caps, actual exposure remains controlled despite leverage. Built-in liquidation protection provides additional safety layer. Commission: 0.055% Modeled on major exchange maker fee structures (Bybit, Binance Futures). **Slippage: 50 ticks** Ultra-conservative slippage assumption representing extreme worst-case execution scenarios. ETH perpetual tick size is $0.01, therefore 50 ticks equals $0.50 per side or $1.00 round trip slippage per trade. Real-world slippage on 30-minute timeframe typically ranges from 2-5 ticks ($0.02-0.05 round trip) under normal conditions, with 10-20 ticks during highly volatile periods. The 50-tick setting assumes every single trade executes during extreme market stress conditions. This ultra-conservative modeling approach means real-world trading performance under typical market conditions may exceed backtest results, as the strategy has been tested under punishing execution cost assumptions that represent worst-case scenarios rather than expected outcomes. Stop Loss: ATR-based (0.7x multiplier) Volatility-adaptive stops optimized for 30-minute cryptocurrency perpetuals. The 0.7x multiplier balances protection against premature stops due to normal market noise. Lower multipliers (0.5-0.6x) suitable for lower timeframes, higher multipliers (0.8-1.2x) for higher timeframes. Take Profit: 6R (Risk:Reward) High target designed to work in conjunction with trailing stop system rather than as primary exit mechanism. Historical analysis shows most profitable trades exit via trailing stops at lower multiples, with the 6R limit capturing occasional extended moves. This configuration allows the trailing stop system to operate optimally while providing upside capture on exceptional price runs. Trailing Stop: Activates at 1R | Offset 0.5R Trailing mechanism engages when position reaches 1:1 risk-reward, then maintains 0.5R distance from peak favourable price. This configuration allows profitable trades room to develop while protecting accumulated gains from reversals. Maximum Holding Period: 50 bars Automatic exit trigger after 50 bars (25 hours on 30-minute timeframe) prevents capital commitment to non-trending price action. Adjustable based on timeframe and trading style preferences. ## Backtest Performance Test Period: November 2023 - November 2025 (2 years) Asset: ETH/USDT Perpetual Futures Timeframe: 30 minutes Initial Capital: $5,000 Performance Metrics: - Final Equity: $25,353.99 - Net Profit: $20,353.99 - Total Return: 407.08% - Annualized Return: ~204% - Total Trades: 2,549 - Winning Trades: 1,308 (51.28%) - Losing Trades: 1,241 (48.72%) - Profit Factor: 1.215 - Sharpe Ratio: 0.813 - Sortino Ratio: 6.428 - Maximum Drawdown: 11.53% - Average Drawdown: <2% Trade Statistics: - Average Win: 1.15% per trade - Average Loss: -0.98% per trade - Win/Loss Ratio: 1.17:1 - Largest Win: 7.14% - Largest Loss: -2.31% - Average Trade Duration: ~8 hours - Trades Per Month: ~106 Cost Analysis: - Total Commission Paid: $21,277.06 - Commission as % of Gross Profit: 18.5% - Modeled Slippage Impact: $2,549.00 (50 ticks per trade) - Total Trading Costs: $23,826.06 - Net Profit After All Costs: $20,353.99 Risk-Adjusted Performance: - Return/Max DD Ratio: 35.3 - Profit Per Trade: $7.98 average - Risk of Ruin: <0.001% (with 2% risk, 51% win rate, 1.17 R:R) ## Bear Market Validation To validate robustness across different market conditions, the strategy was additionally tested during the 2022 cryptocurrency bear market: Test Period: May 2022 - November 2022 (7 months) Market Conditions: ETH declined 57% (from ~$2,900 to ~$1,200) Bear Market Results: - Net Profit: $4,959.69 - Return: 99.19% - Total Trades: 845 - Win Rate: 51.72% - Maximum Drawdown: 18.54% - Profit Factor: 1.235 - Outperformance vs Buy & Hold: +156.3% The strategy demonstrated profitable performance during severe market decline, with short positions showing particular strength (54.1% win rate on shorts vs 49.4% on longs). This validates that the edge is not dependent on bullish market conditions and the multiple entry methodologies adapt naturally to different market environments. ## Recommended Usage Optimal Timeframes: - Primary: 30-minute (tested and optimized) - Alternative: 1-hour (more selective, fewer trades) - Not recommended: <15-minute (execution quality deteriorates) Suitable Assets: High-liquidity cryptocurrency perpetual futures recommended: - BTC/USDT (>$2B daily volume) - ETH/USDT (>$1B daily volume) - SOL/USDT, AVAX/USDT (>$100M daily volume) - Avoid low-liquidity pairs (<$50M daily volume) Risk Configuration: - Conservative: 1-1.5% per trade - Moderate: 2-3% per trade (default: 2%) - Aggressive: 3-5% per trade (requires discipline) ## Important Considerations Backtesting vs Live Trading: Always paper trade first. Real-world results vary based on execution quality, broker-specific factors, network latency, and individual trade management decisions. Backtest performance represents historical simulation with ultra-conservative cost assumptions, not guaranteed future results. Market Conditions: Strategy designed for liquid, actively-traded markets. Performance characteristics: - Strong trends: Optimal (trailing stops capture extended moves) - Ranging markets: Moderate (mean reversion component provides edge) - Low volatility: Reduced (ATR filter prevents most entries) - Extreme volatility: Protected (maximum volatility filter prevents entries) Cost Impact: Commission represents approximately 18.5% of gross profit in backtests. The 50-tick slippage assumption is deliberately punitive - typical execution will likely be 5-10x better (2-10 ticks actual vs 50 ticks modeled), meaning real-world net results may significantly exceed backtest performance under normal market conditions. Execution Quality: 30-minute timeframe provides sufficient time for order placement and management. Automated execution recommended for consistency. Manual execution requires discipline to follow signals without hesitation or second-guessing. Starting Procedures: 1. Run backtest on your specific asset and timeframe 2. Paper trade for minimum 50 trades or 2 weeks 3. Start with minimum position sizes (0.5-1% risk) 4. Gradually scale to target risk levels as confidence builds 5. Monitor actual execution costs vs backtest assumptions ## Strategy Limitations - Requires liquid markets; performance degrades significantly on low-volume pairs - No built-in news event calendar; traders should manually avoid scheduled high-impact events - Weekend/holiday trading may experience wider spreads and different price behaviour - Does not model spread costs (assumes mid-price fills); add 1-2 ticks additional cost for market orders - Performance during market structure changes (regime shifts) may differ from backtest period - Requires consistent monitoring during active trading hours for optimal automated execution - Slippage assumptions are deliberately extreme; actual slippage will typically be much lower ## Risk Disclosure Cryptocurrency trading involves substantial risk of loss. Leverage amplifies both gains and losses. This strategy will experience losing streaks and drawdowns. The 11.53% maximum historical drawdown in bull market testing and 18.54% in bear market testing do not represent ceilings - larger drawdowns are possible and should be expected in live trading. Past performance does not guarantee future results. Market conditions evolve, and historical edge may diminish or disappear. No strategy works in all market conditions. The strategy has been tested with extremely conservative slippage assumptions (50 ticks per trade) that significantly exceed typical execution costs; this provides a safety margin but does not eliminate risk. Capital at Risk: Only trade with capital you can afford to lose completely. The strategy's positive historical performance across both bull and bear markets does not eliminate the possibility of significant losses or account impairment. Not Financial Advice: This strategy is an educational tool, not investment advice. Users are solely responsible for their trading decisions, risk management, and outcomes. The developer assumes no liability for trading losses. Leverage Warning: Trading with leverage can result in losses exceeding initial investment. Ensure you understand leverage mechanics and liquidation risks before using leveraged products. ## Technical Requirements - TradingView Premium subscription (for strategy testing and alerts) - Understanding of risk management principles - Familiarity with perpetual futures mechanics - Broker account supporting crypto perpetuals (if trading live) - For automation: Webhook-compatible execution platform ## Version History v3.0 - November 2025 (Initial Release) - Multi-methodology entry system (Momentum, Mean Reversion, VWAP) - Comprehensive risk management framework - Adaptive exit system with trailing stops - Session and volatility filtering - Webhook automation support - Validated across bull market (2024-25) and bear market (2022) periods - Tested with ultra-conservative 50-tick slippage assumptions Disclaimer: This strategy is provided "as-is" for educational purposes. Past performance does not indicate future results. All backtests conducted with 50-tick slippage (ultra-conservative assumptions). Actual trading costs typically significantly lower. Trade responsibly and at your own risk.
Estratégia Pine Script®
por RealisticCrypto1
Absorption PROOF - Absorption PRO (Clean & Smart)Ultra-clean, high-precision absorption reversal strategy.Detects institutional buying/selling pressure using volume-weighted delta proxy and VWAP deviation zones.Smart RSI + early-session range filter automatically separates valid range-bound reversals from trend exhaustion.Green/Red circles → High-probability entries (fully tradable) Small crosses + colored zones → Rejected signals (avoid) Blue dotted lines → Session range ±100% deviation levels (optional) By default: only signals and rejection zones displayed — zero clutter.Minimalist, professional, and deadly accurate on futures & forex (1m–15m).Less noise. Better trades.
Estratégia Pine Script®
por POTI_SSC
A+ Setup Strategy Trendline Features Added: 1. Automatic Trendline Detection Support Trendline (green) - Connects swing lows Resistance Trendline (red) - Connects swing highs Uses pivot points to identify key swing levels Validates trendlines by counting touches (minimum 3 touches required) 2. Trendline Settings Show Trendlines - Toggle on/off Lookback Period - How far back to look for pivots (default: 50 bars) Min Touches - How many touches needed for valid trendline (default: 3) 3. Trendline Break Detection Bullish Break - Price breaks above support trendline (marked with small green circle) Bearish Break - Price breaks below resistance trendline (marked with small red circle) Generates signals when breaks occur 4. Enhanced A+ Setups Now includes ULTRA setups - the absolute best trades: ULTRA BUY Setup (Aqua label): Bullish FVG + BOS + Volume Spike + Uptrend PLUS: Support trendline break OR near key support PLUS: Trendline breakout confirmation ULTRA SELL Setup (Fuchsia label): Bearish FVG + BOS + Volume Spike + Downtrend PLUS: Resistance trendline break OR near key resistance PLUS: Trendline breakdown confirmation 5. Confluence Integration The strategy now considers price near trendlines as additional confluence, similar to how it uses daily S/R levels. 6. Additional Alerts Support Trendline Break Resistance Trendline Break ULTRA BUY/SELL Setup alerts This gives you multiple tiers of signal quality: Standard A+ Setup - All conditions met ULTRA A+ Setup - All conditions + trendline break (highest probability) The trendlines will help you identify major trend reversals and breakouts for even better entry timing!
Estratégia Pine Script®
por traekiw
Trendforduló Radar Trend Reversal Radar is a proprietary indicator that examines potential turning points in market trends. It combines data from multiple time frames, support and resistance levels, and volume movements to provide visual signals to traders. Its purpose is not to provide trading advice, but to complement technical analysis and provide more confident decision support.- A Trendforduló Radar egy saját fejlesztésű indikátor, amely a piaci trendek lehetséges fordulópontjait vizsgálja. Több idősík adatait, támasz–ellenállás szinteket és volumenmozgásokat kombinálva ad vizuális jelzést a kereskedőnek. A célja nem a kereskedési tanácsadás, hanem hogy kiegészítse a technikai elemzést és magabiztosabb döntéstámogatást adjon.
Estratégia Pine Script®
por Adimadi
Long-Term Strategy: 1-Year Breakout + 6-Month ExitDescripción (Description): (Copia y pega todo lo que está dentro del recuadro de abajo) Description This is a long-term trend-following strategy designed to capture major market moves while filtering out short-term noise. It is based on the classic principle of "buying strength" (Breakouts) and allowing profits to run, while cutting losses when the medium-term trend reverses. How it Works (Logic) 1. Entry Condition (Long Only): The strategy looks for a significant display of strength. It enters a Long position only when two conditions are met simultaneously: Price Breakout: The closing price exceeds the highest high of the last 252 trading days (approximately 1 year). This ensures we are entering during a strong momentum phase. Trend Filter: The SuperTrend indicator (Settings: ATR 10, Factor 3.0) must be bullish. This acts as a confirmation filter to avoid false breakouts in choppy markets. 2. Exit Condition: The strategy uses a trailing stop based on price action, not a fixed percentage. It closes the position when the price closes below the lowest low of the last 126 trading days (approximately 6 months). This wide exit allows the trade to "breathe" during normal market corrections without exiting the position prematurely. Settings & Risk Management Capital Usage: The script is configured to use 10% of equity per trade to reflect realistic risk management (compounding). Commissions: Included at 0.1% to simulate real trading costs. Slippage: Included (3 ticks) to account for market execution variability. Best Use: This strategy is intended for higher timeframes (Daily or Weekly) on trending assets like Indices, Crypto, or Commodities.
Estratégia Pine Script®
por MrOskama
Supertrend + DEMA Strategy ( customised & Switchable, Fixed TP)Supertrend line – a moving line that follows the price and shows whether the market is trending up or down. If the price goes above this line, it usually means the market is going up. If the price goes below, it usually means the market is going down. DEMA (Double Exponential Moving Average) – another line that smooths out price movements to spot trends more clearly. It calculates an average of prices but reacts faster than a normal moving average.
Estratégia Pine Script®
por drsawhneyG
Liquidity Sweep & FVG StrategyThis strategy combines higher-timeframe liquidity levels, stop-hunt (sweep) logic, Fair Value Gaps (FVGs) and structure-based take-profits into a single execution engine. It is not a simple mash-up of indicators: every module (HTF levels, sweeps, FVGs, ZigZag, sessions) feeds the same entry/exit logic. 1. Core Idea The script looks for situations where price: Sweeps a higher-timeframe high/low (takes liquidity around obvious levels), Then forms a displacement candle with a gap (FVG) in the opposite direction, Then uses the edge of that FVG as a limit entry, And manages exits using unswept structural levels (ZigZag swings or HTF levels) as targets. The intent is to systematically trade failed breakouts / stop hunts with a defined structure and risk model. It is a backtesting / study tool, not a signal service. 2. How the Logic Works (Conceptual) a) Higher-Timeframe Liquidity Engine Daily, Weekly and Monthly highs/lows are pulled via request.security() and stored as HTF liquidity levels. Each level is drawn as a line with optional label (1D/1W/1M High/Low). A level is marked as “swept” once price trades through it; swept levels may be removed or shortened depending on settings. b) Sweep & Manipulation Filter A low sweep occurs when the current low trades through a stored HTF low. A high sweep occurs when the current high trades through a stored HTF high. If both a high and a low are swept in the same bar, the script flags this as “manipulation” and blocks new entries around that noise. The script also tracks the sweep wick, bar index and HTF timeframe for later use in SL placement and labels. c) FVG Detection & Management FVGs are defined using a 3-candle displacement model: Bullish FVG: high < low Bearish FVG: low > high Only gaps larger than a minimum size (ATR-based if no manual value is set) are kept. FVGs are stored in arrays as boxes with: top, bottom, mid (CE), direction, and state (filled / reclaimed). Boxes are auto-extended and visually faded when price is far away, or deleted when filled. d) Entry Conditions (Sweep + FVG) For each recent sweep window: After a low sweep, the script searches for the nearest bullish FVG below price and uses its top edge as a long limit entry. After a high sweep, it searches for the nearest bearish FVG above price and uses its bottom edge as a short limit entry. A “knife protection” check blocks trades where price is already trading through the proposed stop. Only one entry per sweep is allowed; entries are only placed inside the configured NY trading sessions and only if no manipulation flag is active and EOD protection allows it. e) Stop-Loss Placement (“Tick-Free” SL) The stop is not placed directly on the HTF level; instead, the script scans a window around the sweep bar to find a local extreme: Longs: lowest low in a configurable bar window around the sweep. Shorts: highest high in that window. This produces a structure-based SL that is generally outside the main sweep wick. f) Take-Profit Logic (ZigZag + HTF Levels) A lightweight ZigZag engine tracks swing highs/lows and removes levels that have already been broken. For intraday timeframes (< 1h), TP candidates come from unswept ZigZag swings above/below the entry. For higher timeframes (≥ 1h), TP candidates fall back to unswept HTF liquidity levels. The script picks up to two targets: TP1: nearest valid target in the trade direction (or a 2R fallback if none exists), TP2: second target (or a 4R fallback if none exists). A multi-TP model is used: typically 50% at TP1, remainder managed towards TP2 with breakeven plus offset once TP1 is hit. g) Session & End-of-Day Filters Three predefined NY sessions (Early, Open, Afternoon) are available; entries are only allowed inside active sessions. An End-of-Day filter checks a user-defined NY close time and: Blocks new entries close to the end of the day, Optionally forces flat before the close. 3. Inputs Overview (Conceptual) Liquidity settings: which HTF levels to track (1D/1W/1M), how many to show, and sweep priority (highest TF vs nearest vs any). FVG settings: visibility radius, search window after a sweep, minimum FVG size. ZigZag settings: swing length used for TP discovery. Execution & protection: limit order timeout, breakeven offset, EOD protection. Visuals: labels, sweep markers, manipulation warning, session highlighting, TP lines, etc. For exact meaning of each input, please refer to the inline comments in the open-source code. 4. Strategy Properties & Backtesting Notes Default strategy properties in this script: Initial capital: 100,000 Order size: 10% of equity (strategy.percent_of_equity) Commission: 0.01% per trade (adjust as needed for your broker/asset) Slippage: must be set manually in the Strategy Tester (recommended: at least a few ticks on fast markets). Even though the order size is 10% of equity, actual risk per trade depends on the SL distance and is typically much lower than 10% of the account. You should still adjust these values to keep risk within what you personally consider sustainable (e.g. somewhere in the 1–2% range per trade). For more meaningful results: Test on liquid instruments (e.g. major indices, FX, or liquid futures). Use enough history to reach 100+ closed trades on your market/timeframe. Always include realistic commission and slippage. Do not assume that past performance will continue. 5. How to Use Apply the strategy to your preferred symbol and timeframe. Set broker-like commission and slippage in the Strategy Tester. Adjust: HTF levels (1D/1W/1M), Sessions (NY windows), FVG search window and minimum size, ZigZag length and EOD filter. Observe how entries only appear: After a HTF sweep, In the configured session, At a FVG edge, With TP lines anchored at unswept structure / liquidity. Use this primarily as a research and backtesting tool to study how your own ICT / SMC ideas behave over a large sample of trades. 6. Disclaimer This script is for educational and research purposes only. It does not constitute financial advice, and it does not guarantee profitability. Always validate results with realistic assumptions and use your own judgment before trading live.
Estratégia Pine Script®
por mehmettopbas_
Market Solver ProWhat You Get: ✓ Clear entry signals - no guessing ✓ Defined stop losses - manage risk decisively ✓ Multi-timeframe analysis done for you ✓ Simple configuration - Trade Frequency and Market Structure Filter ✓ Works across all markets - stocks, forex, crypto ✓ Real-time performance tracking ✓ Adaptable to different market conditions The Philosophy: This is about simplicity and discipline. No information overload. No emotional decisions. Just clear signals based on proven trading principles. The Market Structure Filter is a game-changer - it lets you adapt to what the market is giving you. Trending markets? Loosen the filter. Choppy markets? Tighten it up. You have control without complexity. The Reality: You'll also have losses - that's part of trading. The key is managing those losses while letting your winners run to 4R, 5R, 6R multiples. What Makes This Different: This isn't theory from someone who doesn't trade. This is the exact system I use in my own live account. Same signals, same logic, same risk management. What you see is what I trade.
Estratégia Pine Script®
por Exponential-X
VWolf – Apex GateOverview VWolf – Apex Gate is a trend-continuation system that blends a Pivot-weighted Supertrend (PVT ST) with an optional **Normal Supertrend** trigger, all **gated by a 200-EMA directional filter. The strategy’s risk controls are volatility-aware—**stops and targets scale by ATR**, and quantity is computed from a fixed **% risk per trade**. Clear **Backtest / Forwardtest** modes with date windows let you validate on segmented datasets before committing to live use. Recommended Use - **Markets:** High-liquidity instruments (indices, large-cap equities, liquid FX and major crypto pairs) where trends and pullbacks are clean. - **Timeframes:** 15m–1h for active intraday; 4h–1D for swing. Lower timeframes may benefit from stricter EMA gating and slightly wider ATR stops. - **Workflow:** 1. Start with **Backtest** to set baseline ATR/EMA parameters. 2. Move to **Forwardtest** to confirm generalization. 3. Consider walk-forward or multi-symbol rotation to assess robustness. Strengths & Precautions Strengths - **Dual engine** (PVT ST + Normal ST) improves signal quality; the **EMA gate** screens counter-trend noise. - **ATR-native** stops/targets standardize risk across regimes/instruments. - **Capital-proportional sizing** preserves account geometry and smooths drawdowns. - **Clear test segmentation** supports objective evaluation. Precautions - **Whipsaw risk** in tight ranges: widen ATR multipliers, enable the EMA gate, or require co-confirmation. - **Supertrend-anchored stops** can expand in volatility spikes; ensure **% risk** remains within tolerance. - **One-position policy** avoids stacking risk but forgoes scaling into strong trends; advanced users may prefer add-on frameworks outside this baseline. Conclusion VWolf – Apex Gate seeks to enter shortly after **regime flips**, demanding alignment between a **pivot-aware Supertrend** and (optionally) a **classic Supertrend**, while an **EMA gate** enforces directional discipline. With **ATR-driven** stops/targets and **fixed-fraction** sizing, the system adapts naturally to changing volatility. Use the **Backtest** window to dial ranges and the **Forwardtest** window to prove durability on unseen data. For best results, tailor ATR multipliers and the EMA gate to your instrument’s structure and your personal drawdown tolerance.
Estratégia Pine Script®
por VWolf-Trading
AUDNZD Mean Reversion (5 minutes)Here are the results drive.google.com 🔒 The Mechanism for Exploiting Asymmetry in the AUD/NZD Pair This strategy is not about directional trading; it is about Relational Trading, leveraging the structural fact that the Australian Dollar (AUD) and New Zealand Dollar (NZD) are highly synchronized due to their similar fundamental drivers (commodity exports, sensitivity to China, risk sentiment). This coupling creates a strong Structural Elasticity where the price is inherently inclined to revert to a long-term equilibrium. 1. Defining the Equilibrium State (The Center Point) The core of the strategy lies in accurately defining the pair's True Statistical Mean (μ), which acts as the pair's long-term gravitational center. Principle: Identify the μ value—the statistical equilibrium—that the pair has historically maintained (often observed near the 1.0800 - 1.1000 range). Significance: This μ represents the Gravitational Pull; any movement beyond this point is considered temporary short-term noise or a deviation from the structural norm. 2. Measuring the Tension (The Deviation Gauge) A statistical tool is necessary to measure precisely how far the price has been stretched away from its mean relative to its historical volatility. The Instrument: This is achieved by calculating the Z-Score or using volatility-based Envelopes calibrated against the historical standard deviation of the price movement relative to μ. The Analysis: When the AUD/NZD price deviates beyond a statistical significance level (e.g., exceeding ±2 Sigma), it indicates that the Tension in the relationship has peaked, and the corrective force towards the mean is maximized. 3. The Execution Protocol (Actionable Triggers) Trading occurs only when tension is at an extreme, effectively fading the current momentum to capitalize on the structural force of mean reversion. __________________________________________________________________________________ 🔒 กลไกการฉวยโอกาสจากความไม่สมมาตรในคู่ AUD/NZD กลยุทธ์นี้ไม่ได้เป็นการเทรดทิศทาง (Directional) แต่เป็นการเทรด ความสัมพันธ์ (Relational) โดยอาศัยข้อเท็จจริงที่ว่า AUD และ NZD เป็นสกุลเงินที่ได้รับอิทธิพลจากปัจจัยพื้นฐานที่ใกล้เคียงกันมาก (สินค้าโภคภัณฑ์และความเสี่ยง) จึงทำให้ราคามี "ความยืดหยุ่นเชิงโครงสร้าง" ที่จะกลับมาสู่จุดสมดุลเสมอ 1. การกำหนดจุดศูนย์กลาง (The Equilibrium State) หัวใจของกลยุทธ์คือการนิยาม "ค่าเฉลี่ยจริง" ของความสัมพันธ์นี้ (ไม่ใช่แค่ค่าเฉลี่ยเคลื่อนที่ของราคา) หลักการ: ต้องหาค่า μ (Mu) ซึ่งเป็นจุด สมดุลทางสถิติ ในระยะยาวของคู่เงินนี้ ซึ่งมักอยู่ใกล้เคียงค่า 1.0800 - 1.1000 ความสำคัญ: ค่า μ นี้คือ เส้นแรงดึงดูด (Gravitational Pull) ที่ราคามีแนวโน้มจะวิ่งกลับเข้าหาในท้ายที่สุด การเคลื่อนไหวที่เกินจากจุดนี้ถือเป็นเพียง "สัญญาณรบกวนระยะสั้น" 2. การวัดความตึงเครียด (The Tension Gauge) เราจำเป็นต้องมีเครื่องมือวัดว่าแรงดึงดูดถูก "ยืดออก" ไปจากค่าสมดุลมากน้อยเพียงใด ซึ่งทำได้โดยการวัด "ความเบี่ยงเบนมาตรฐาน (Standard Deviation)" ของราคาเทียบกับจุดศูนย์กลาง เครื่องมือที่ใช้: การประยุกต์ใช้ค่า Z-Score หรือ Envelope ที่ตั้งค่าตามความผันผวนทางสถิติในอดีต การวิเคราะห์: เมื่อราคา AUD/NZD เบี่ยงเบนเกินระดับนัยสำคัญ (เช่น เกิน ±2 Sigma) นั่นหมายความว่า ความตึงเครียด ระหว่างสองสกุลเงินอยู่ในระดับสูงสุด และแรงผลักให้กลับสู่ค่าเฉลี่ยกำลังสะสม 3. โปรโตคอลการเข้าปฏิบัติการ (The Execution Protocol) การเข้าเทรดจะต้องเกิดขึ้นเมื่อความตึงเครียดถึงขีดสุด โดยเป็นการ "สวนทางกับแรงเหวี่ยงปัจจุบัน" เพื่อจับจังหวะที่แรงดึงดูดกลับเข้าทำงาน
Estratégia Pine Script®
por Zettainaru
RT-Runner BotRunner Bot is a trend following tool designed to highlight when price shifts from normal back and forth rotation into stronger directional moves. It is built to help traders focus on higher quality trend legs, stay patient during chop, and avoid forcing trades when conditions are not aligned. Blurring The Lines - Indicator vs Bot Rainbow Trends set out to combine some of the ideas behind automated trading bots with the flexibility of trading indicators. After years of development, Runner Bot was built as an "indicator bot" that can be applied across multiple assets and multiple timeframes from the same interface. How It Works This tool aims to identify points where large market players - the "whales" - may be more likely to reverse the trend. It generates BOTTOM signals when its conditions suggest a potential market bottom has formed, and TOP signals when it detects that a potential top has been reached. These signals are plotted directly on the chart so traders can visually review where Runner Bot has flagged prior tops and bottoms and compare them with their own levels, structure, and risk management. How It Changes With Timeframe Runner Bot identifies trend reversals based on the selected timeframe. The same logic can be applied across intraday, swing, and macro views, but its behavior will naturally change: For macro level reversals, many traders focus on higher timeframes such as H4 to H12. If you are scalping, you can switch to much lower timeframes, but keep in mind that bottoms detected on shorter intervals are less reliable at predicting a true long term bottom. Choosing the timeframe intentionally is important: higher timeframes tend to highlight larger structural tops and bottoms, while lower timeframes are more sensitive to short term noise. Tuning The Bot Runner Bot was built to be relatively turnkey, but it does allow users to tune it for specific timeframes and assets. To adjust the sensitivity of the TOP/BOTTOM prints, adjust the first two values in the settings column: Decreasing these values (negative adjustments) will generally increase the number of TOP/BOTTOM signals the bot will fire. Increasing these values will do the opposite and make TOP/BOTTOM signals less common. This lets traders decide whether they want Runner Bot to be more selective (fewer, higher conviction style signals) or more frequent (more signals for active traders). The trader also has the option to toggle the signals On/Off as desired. Some traders prefer to only plot TOPs and not BOTTOMs, or only BOTTOMs and not TOPs, depending on their strategy. Limitations Of The Tool Under the hood, Runner Bot uses internal algorithms working together to analyze price action. It can be applied across multiple timeframes, but like any tool, it has its sweet spots: On higher ranges like 12H to 1D, you will mostly see TOP signals, which can be useful for monitoring extended moves. On ultra low timeframes under 15 minutes, market noise can increase and short term bottoms are less reliable as long term turning points. Fine tuning your settings to match your strategy, asset, and timeframe is recommended rather than relying on one configuration for every situation. Preferred Settings Over time, a few configurations have become common starting points: H4 - A core timeframe to start catching both Tops and Bottoms across TradFi, Crypto, and Commodities. H2/H4 Combo - Monitoring Bottoms on H2 and taking profits on H4 has been a popular combination among Rainbow Theory traders. H2 can provide earlier entries, while H4 offers a more conservative, lagging exit. 1D/H24 - Helpful for macro Tops in both TradFi and Crypto when combined with other higher timeframe context. These are not rules, but practical examples of how some traders choose to deploy Runner Bot. Automating Alerts Runner Bot can also be connected to standard TradingView alerts so TOP and BOTTOM signals do not need to be watched manually on every bar. A typical alert setup: Symbol - Set to the asset you are charting. Condition - Set to Runner Bot (this will use the settings you currently have on the chart). Condition detail - Use the alert() function calls only so the tool can send alerts when TOP or BOTTOM signals fire. Interval - Same as chart (this locks alerts to the timeframe you set them up on). Once alerts are configured, TradingView can notify you according to your alert preferences whenever Runner Bot detects a new TOP or BOTTOM based on your current settings. Important Note Runner Bot is intended to provide additional context around tops, bottoms, and broader trend behavior. It is not a standalone signal generator and should always be used together with your own analysis, testing, and risk management. Historical Runner Bot signals and past market reversals do not guarantee future results. 🐋 Tight lines and happy trading!
Estratégia Pine Script®
por RainbowRunner144
1M XAU Cumulative Delta Volume with OB Breakouts ### Overview This is a **session-based CVD strategy** built around the **00:00–07:00 CEST range**. It finds the high/low of that session, turns them into **adaptive ATR-based support (yellow)** and **resistance (purple)** zones, and trades only **CVD-confirmed reversals** off those levels. --- ### How it Works * For each day, the script: * Builds a 00:00–07:00 CEST **profile high/low**. * Creates a **support zone** around the session low and a **resistance zone** around the session high. * Using lower timeframe data, it reconstructs **Cumulative Volume Delta (CVD)** and a **recent delta** filter. * It arms “pending” states when price **enters a zone from the correct side**, then confirms: * **BUY (long):** price reclaims above support and recent CVD is strongly positive. * **SELL (short):** price rejects below resistance and recent CVD is strongly negative. Only these two CVD signals (`buySignal` / `sellSignal`) open trades. --- ### Strategy Logic * **Entries** * `buySignal` → open **long** (if flat). * `sellSignal` → open **short** (if flat). * No pyramiding; one position at a time. * **Exits (only TP & SL)** * Long: TP at `avg_price * (0.5 + TP%)`, SL at `avg_price * (1 – SL%)`. * Short: TP at `avg_price * (0.5 – TP%)`, SL at `avg_price * (1 + SL%)`. * No opposite-signal exits. --- ### Extras * **Reversal markers** on yellow/purple zones and **breakout/retest markers** are plotted for context and alerts but **do not trigger entries**. * Zone width and “thickening” are ATR-based so important touches and near-touches are easy to see. * Only suited for **1m intraday scalping** (e.g. XAU/USD), but can be tested on other markets/timeframes.
Estratégia Pine Script®
por FredAstaire
Simple Grid Trading v1.0 [PUCHON]Simple Grid Trading v1.0 Overview This is a Long-Only Grid Trading Strategy developed in Pine Script v6 for TradingView. It is designed to profit from market volatility by placing a series of Buy Limit orders at predefined price levels. As the price drops, the strategy accumulates positions. As the price rises, it sells these positions at a profit. Features Grid Types : Supports both Arithmetic (equal price spacing) and Geometric (equal percentage spacing) grids. Flexible Order Management : Uses strategy.order for precise control and prevents duplicate orders at the same level. Performance Dashboard : A real-time table displaying key metrics like Capital, Cashflow, and Drawdown. Advanced Metrics : Includes Max Drawdown (MaxDD) , Avg Monthly Return , and CAGR calculations. Customizable : Fully adjustable price range, grid lines, and lot size. Dashboard Metrics The dashboard (default: Bottom Right) provides a quick snapshot of the strategy's performance: Initial Capital : The starting capital defined in the strategy settings. Lot Size : The fixed quantity of assets purchased per grid level. Avg. Profit per Grid : The average realized profit for each closed trade. Cashflow : The total realized net profit (closed trades only). MaxDD : Maximum Drawdown . The largest percentage drop in equity (realized + unrealized) from a peak. Avg Monthly Return : The average percentage return generated per month. CAGR : Compound Annual Growth Rate . The mean annual growth rate of the investment over the specified time period. Strategy Settings (Inputs) Grid Settings Upper Price : The highest price level for the grid. Lower Price : The lowest price level for the grid. Number of Grid Lines : The total number of levels (lines) in the grid. Grid Type : Arithmetic: Distance between lines is fixed in price terms (e.g., $10, $20, $30). Geometric: Distance between lines is fixed in percentage terms (e.g., 1%, 2%, 3%). Lot Size : The fixed amount of the asset to buy at each level. Dashboard Settings Show Dashboard : Toggle to hide/show the performance table. Position : Choose where the dashboard appears on the chart (e.g., Bottom Right, Top Left). How It Works Initialization : On the first bar, the script calculates the price levels based on your Upper/Lower price and Grid Type. Entry Logic : The strategy places Buy Limit orders at every grid level below the current price. It checks if a position already exists at a specific level to avoid "stacking" multiple orders on the same line. Exit Logic : For every Buy order, a corresponding Sell Limit (Take Profit) order is placed at the next higher grid level. MaxDD Calculation : The script continuously tracks the highest equity peak. It calculates the drawdown on every bar (including intra-bar movements) to ensure accuracy. Displayed as a percentage (e.g., 5.25%). Disclaimer This script is for educational and backtesting purposes only. Grid trading involves significant risk, especially in strong trending markets where the price may move outside your grid range. Always use proper risk management.
Estratégia Pine Script®
por ProPuchon
RSI Strategy [PrimeAutomation]⯁ OVERVIEW The RSI Strategy is a momentum-driven trading system built around the behavior of the Relative Strength Index (RSI). Instead of using traditional overbought/oversold zones, this strategy focuses on RSI breakouts with volatility-based trailing stops, adaptive profit-targets, and optional early-exit logic. It is designed to capture strong continuation moves after momentum shifts while protecting trades using ATR-based dynamic risk management. ⯁ CONCEPTS RSI Breakout Momentum: Entries happen when RSI breaks above/below custom thresholds, signaling a shift in momentum rather than mean reversion. Volatility-Adjusted Risk: ATR defines both stop-loss and profit-target distances, scaling positions based on market volatility. Dynamic Trailing Stop: The strategy maintains an adaptive trailing level that tightens as price moves in the trade’s favor. Single-Position System: Only one trade at a time (no pyramiding), maximizing clarity and simplifying execution. ⯁ KEY FEATURES RSI Signal Engine • Long when RSI crosses above Upper threshold • Short when RSI crosses below Lower threshold These levels are configurable and optimized for trend-momentum detection. ATR-Based Stop-Loss A custom ATR multiplier defines the initial stop. • Long stop = price – ATR × multiplier • Short stop = price + ATR × multiplier Stops adjust continuously using a trailing model. ATR-Based Take Profit (Optional) Profit targets scale with volatility. • Long TP = entry + ATR × TP-multiplier • Short TP = entry – ATR × TP-multiplier Users can disable TP and rely solely on trailing stops. Real-Time Trailing Logic The stop updates bar-by-bar: • In a long trade → stop moves upward only • In a short trade → stop moves downward only This keeps the stop tight as trends develop. Early Exit Module (Optional) After X bars in a trade, opposite RSI signals trigger exit. This reduces holding time during weak follow-through phases. Full Visual Layer • RSI plotted with threshold fills • Entry/TP/Stop visual lines • Color-coded zones for clarity ⯁ HOW TO USE Look for RSI Breakouts: Focus on RSI crossing above the upper boundary (long) or below the lower boundary (short). These moments identify fresh momentum surges. Use ATR Levels to Manage Risk: Because stops and targets scale with volatility, the strategy adapts well to both quiet and explosive market phases. Monitor Trailing Stops for Trend Continuation: The trailing stop is the primary driver of exits—often outperforming fixed targets by catching larger runs. Use on Liquid Markets & Mid-Higher Timeframes: The system performs best where RSI and ATR signals are clean—crypto majors, FX, and indices. ⯁ CONCLUSION The RSI Strategy is a modern RSI breakout system enhanced with volatility-adaptive risk management and flexible exit logic. It is designed for traders who prefer momentum confirmation over mean reversion, offering a disciplined framework with robust protections and dynamic trend-following capability. Its blend of ATR-based stops, optional profit targets, and RSI-driven entries makes it a reliable strategy across a wide range of market conditions.
Estratégia Pine Script®
por ChartPrime
4
NIFTY Options Breakout StrategyThis strategy trades NIFTY 50 Options (CALL & PUT) using 5-minute breakout logic, strict trend filters, expiry-based symbol validation, and a dynamic trailing-profit engine. 1️⃣ Entry Logic Only trades NIFTY 50 options, filtered automatically by symbol. Trades only between 10:00 AM – 2:15 PM (5m bars). Breakout trigger: Price enters the buy breakout zone (high of last boxLookback bars ± buffer). Trend filter: Price must be above EMA50 or EMA200, AND EMA50 ≥ EMA100 (to avoid weak conditions). Optional strengthening: EMA20>EMA50 OR EMA50>EMA100 recent cross can be enforced. Higher-timeframe trend check: EMA50 > EMA200 (bullish regime only). Start trading options only after expiry–2 months (auto-parsed). 2️⃣ One Trade Per Day Maximum 1 long trade per day. No shorting (long-only strategy). 3️⃣ Risk Management — SL, TP & Trailing Includes three types of exits: 🔹 A) Hard SL/TP Hard Stop-Loss: -15% Hard Take-Profit: +40% 🔹 B) Step-Ladder Trailing Profit As the option price rises, trailing activates: Max Profit Reached Exit Trigger When Falls To ≥ 35% ≤ 30% ≥ 30% ≤ 25% ≥ 25% ≤ 20% ≥ 20% ≤ 15% ≥ 15% ≤ 10% ≥ 5% ≤ 0% 🔹 C) Loss-Recovery Exit If loss reaches –10% but then recovers to 0%, exit at breakeven. 4️⃣ Trend-Reversal Exit If price closes below 5m EMA50, the long is exited instantly. 5️⃣ Optional Intraday Exit EOD square-off at 3:15 PM. 6️⃣ Alerts for Automation The strategy provides alerts for: BUY entry TP/SL/Trailing exit EMA50 reversal exit EOD exit
Estratégia Pine Script®
por maheshxlent
Nifty Breakout Levels Strategy (v7 Hybrid)Nifty Breakout Levels Strategy (v7 Hybrid – Compounding from Start Date) Instrument / TF: Designed for current-month NIFTY futures on 1-hour timeframe, with at most 1 trade per day. Entry logic: Uses a 10-bar breakout box with a 0.3% buffer, plus EMA-based trend + proximity filter. Longs: price in breakout-high zone, above EMA50/EMA200 and within proximityPts. Shorts: price in breakout-low zone and strong downtrend (EMA10 < EMA20 < EMA50 < EMA200, price below EMA200). Trades only when ATR(14) > atrTradeThresh and during regular hours (till 15:15). Risk / exits: Stop loss is ATR-adaptive – max of slBasePoints (100 pts) and ATR * atrSLFactor; TP is fixed (tpPoints, e.g. 350 pts). Longs have stepped trailing profit levels (100/150/200/250/320 pts) that lock in gains on pullbacks. Shorts have trailing loss-reduction levels (80/120/140 pts) to cut improving losses. Additional exit: 1H EMA50 2-bar reversal against the position, plus optional EOD flatten at 3:15 PM. Compounding engine: From a chosen start date, equity is rebased to startCapital, and lot size scales dynamically as equity / capitalPerLot, with automatic lot reductions at three drawdown thresholds (ddCut1 / 2 / 3). Automation: All entries and exits are exposed via alertconditions (long/short entry & exit) so the strategy can be connected to broker/webhook automation.
Estratégia Pine Script®
por maheshxlent
MTF EMA Hariss 369The strategy has been prepared in a simplistic manner and easy to understand the concept by any novice trader. Indicators used: Current Time frame 20 EMA- Gives clear look about current time frame dynamic support and resistance and trend as well. Higher Time Frame 20 EMA: Gives macro level trend, support and resistance Kama: Capture volatility and trend direction. RVOL: Main factor of price movement. Buy when price closes above current time frame 20 ema and current time frame 20 ema is above higher time frame 20 ema. Stop loss just below the low of last candle. One can use current time frame 20 ema, higher time frame 20 ema or kama as stop loss depending upon type of asset class and risk appetite. The ideal way is to keep 20 ema as trailing sl if one wants to trail with trend. Sell when price closes below current time frame 20 ema and current time frame 20 ema is lower than higher time frame 20 ema. Stop loss just above high of last candle. Ideal target is 1.5 or 2 times of stop loss. Entry and exit time depends on trading style. Eg. if you want to enter and exit in 5 min time frame, then choose 15 min or 1h as higher time frame as trend filter. Buy and sell signals are also plotted based on this strategy. One should always go with the higher time frame trend. Opting higher time frame trend filter always filters out market noises.
Estratégia Pine Script®
por Hariss369