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40 SMA Scaling StrategyThis trend-following strategy focuses on capturing momentum when price breaks above the 40-period Simple Moving Average (SMA) while utilizing a systematic scale-out (Take Profit) approach to lock in gains during extended runs. Strategy Logic Entry: Opens a Long position with 100% of current equity when the price closes above the 40 SMA. This ensures maximum capital efficiency at the start of a new perceived trend. Scaling Take Profits: To reduce risk as the trade progresses, the strategy automatically closes 25% of the initial position for every 1% increase in price from the entry point. Exit: The entire remaining position is closed immediately if the price closes below the 40 SMA, acting as a trailing stop that adapts to the moving average. Key Features Capital-Efficient: Starts with a full account allocation to maximize exposure to the initial breakout. Systematic De-risking: By scaling out in 25% increments, the strategy banks profits early while leaving a portion of the trade active for potential "moon shots." Trend-Following Exit: Uses a classic SMA filter to exit, aiming to stay in the trade as long as the medium-term trend remains bullish.
Strategia Pine Script®
od myers2115
%-to-Tick Trailing Stop & VisualizerPercent-to-Tick Trailing Stop (strategy.exit Framework + Visualizer) Overview This script focuses on exit management and visualization, not entry performance. The included MA crossover entry is intentionally simple and replaceable. Core idea (Percent → Tick conversion) strategy.exit() trailing parameters are tick-based (trail_points, trail_offset, and loss). This script lets you input distances in percent (%) and converts them into integer ticks using syminfo.mintick, making the same exit logic portable across most tick-based symbols/exchanges with different tick sizes. //==What it provides==// 1. % → tick conversion for: - Fixed stop loss (loss) - Trailing activation distance (trail_points) - Trailing offset distance (trail_offset) 2. On-chart visualization: - Entry average price - Trailing activation threshold - Fixed stop-loss line - Trailing stop line (with an exit-bar alignment attempt to reduce gaps) //==How to use==// 1. Keep the included MA crossover entries, or replace them with your own entries. 2. Configure: - Fixed Stop Loss % (loss_pct) - Trailing Activation % (t_points_pct) - Trailing Offset % (t_offset_pct) 3. Adjust commission/slippage defaults to match your market. //==Important limitations (must read)==// - calc_on_every_tick=true recalculates on realtime bars only; historical bars are evaluated differently. Backtests can differ from realtime behavior and may change after reload. - Tick rounding: percent distances are rounded to integer ticks, so small differences can occur depending on tick size and price level. - For more realistic intrabar backtesting, consider enabling Bar Magnifier in Strategy Properties (if available). # Average Entry Price (Basis): "Calculations are based on the position's average entry price (strategy.position_avg_price)." # Pine Script v6: "Written in the latest Pine Script v6." 요약 이 스크립트의 핵심은 “진입 전략”이 아니라 **strategy.exit()의 tick 기반 트레일링 파라미터를 % 입력으로 일반화(%→ticks 변환)**하여, 다양한 심볼/거래소의 서로 다른 tick size 환경에서도 동일한 exit 로직을 재사용할 수 있게 만든 “청산 프레임워크”입니다. 또한 calc_on_every_tick=true 환경에서 트리거/손절/트레일 라인을 실시간에 가깝게 시각화하는 데 중점을 두었습니다. 단, calc_on_every_tick은 실시간 바에서만 틱 단위 재계산이 적용되며, 히스토리 바/백테스트는 평가 방식이 달라 결과가 다를 수 있습니다.
Strategia Pine Script®
od surirang
SMAcross-mvrOverview SMAcross-mvrNew is a flexible, non-repainting moving-average strategy designed for clarity, configurability, and reliable backtesting. It supports multiple entry styles, optional layered exits, and full-capital position sizing, while remaining stable during chart zooming and dragging. 🚀 What’s New in v2 ✅ Multiple Entry Modes You can now choose how trades are entered: Entry Mode A: Short SMA crosses Long SMA Entry Mode B: Price crosses Long SMA This allows both classic MA-crossover trading and trend-continuation pullback entries using the same strategy. ✅ Modular Exit System (Checkbox-Based) Exit logic is now fully modular using independent checkboxes: ☑ Exit on opposite signal ☑ Exit when price closes beyond Short SMA You may enable one, both, or neither. If both are enabled, the strategy exits on whichever condition occurs first. ✅ Terminology Clarity All labels, inputs, and alerts now use semantic naming: Short SMA (formerly 13 SMA) Long SMA (formerly 30 SMA) This makes the strategy easier to understand and future-proof if SMA lengths are changed. ✅ Full-Capital Position Sizing Each trade uses 100% of available equity, allowing performance to naturally compound over time during backtests. ✅ Optional Visual Enhancements Optional cross price labels (can be toggled on/off) Color-filled zone between Short and Long SMAs for quick trend recognition Optional 200 SMA (off by default) for higher-timeframe context ✅ Alert-Ready (TV-Safe) All alerts use static messages compatible with TradingView’s alert system, making the strategy suitable for: Manual trade notifications Webhook-based automation Broker integrations 🔒 Design Principles No repainting No line continuations (TradingView-safe formatting) Stable behavior when zooming or scrolling Clear separation of entry logic, exit logic, and visuals ⚠️ Notes This script is intended for educational and research purposes. Always forward-test and apply proper risk management before live trading.
Strategia Pine Script®
od vmedaram1
4
ETH Vol Breakout - NO ERROR VERSIONThis strategy examines the impact of Eth.d Vol on Ethereum price. Looking at ETHDVOL -60 (Support) and 78 (Resistance)—tell a very specific story - analyzing a High Volatility Regime. The support level around 60 and resistance 78, tend to only occurs during Bull Runs or Market Crashes. In the "Quiet Years", ETHDVOL rarely touched 60, let alone 78. Trying to develop a strategy that is perfectly tuned for a Bull Market or a Crisis, 1. The "60 Floor" (Support) Context: In a high-volatility regime, when ETHDVOL drops to 60, it indicates the market has "cooled off" just enough to reload leverage. Historical Behavior (2021-2022 Context): July 2021: After the May crash, ETHDVOL compressed down and found support at ~65. Result: This marked the local bottom before the massive run-up to the November All-Time Highs ($4,800). Outcome: Strong Buy Signal (Trend Continuation). January 2022: ETHDVOL dropped to ~58-60 while price was hovering around $3,000. Result: The floor broke, volatility spiked to 80+, and price crashed to $2,200. Outcome: Trap / Warning Signal. The Pattern: When Volatility hits 60 (Support), price is usually Coiling. If Price is trending UP: This is a "dip buy" opportunity. The coil resolves upwards. If Price is trending DOWN: This is the "calm before the flush." The coil resolves downwards. 2. The "78 Ceiling" (Resistance) Context: 78 is an extreme reading. It represents panic (bottom) or euphoria (blow-off top). Historical Behavior: May 2021 (The Crash): ETHDVOL smashed through 78, peaking at 100+. Price Action: Price collapsed from $4,000 to $1,700. Signal: If Vol > 78, you are in a capitulation event. Buying spot here is usually profitable within 3-6 months (buying the blood). November 2022 (FTX Collapse): ETHDVOL spiked to ~75-80. Price Action: ETH hit $1,100 (Cycle Lows). Signal: Hitting 78 marked the Absolute Bottom. November 2021 (The Top): Interestingly, at the $4,800 price peak, Volatility was NOT at 78. It was lower (~60-70). Insight: Bull market tops often happen on lower volatility than bear market bottoms.
Strategia Pine Script®
od chart_inator
Seasonal Strategies V1Seasonal Strategies V1 is a rule-based futures seasonality framework built around predefined calendar windows per asset. The strategy automatically detects the current symbol and activates long or short trading phases strictly based on historically observed seasonal tendencies. All entries and exits are fully time-based — no indicators, no predictions, no discretionary input. Key Features Asset-specific seasonal windows (MMDD-based) Automatic long and short activation Fully time-based entries and exits One position at a time (no pyramiding) Clean chart visualization using subtle background shading No indicators, no filters, no curve fitting Philosophy: This strategy is designed as a structural trading tool, not a forecasting model. It focuses on when a market historically shows seasonal tendencies — not why or how far price might move. Seasonal Strategies V1 intentionally keeps the chart clean and minimal, making it suitable as a baseline framework for research, portfolio-style seasonal approaches, or further extensions in later versions. Intended Use: Futures and commodity markets Seasonality research and testing Systematic, calendar-driven strategies Educational and analytical purposes Disclaimer This script is provided for educational and research purposes only. Past seasonal tendencies do not guarantee future performance. Risk management, position sizing, and portfolio decisions are the responsibility of the user.
Strategia Pine Script®
od DerAndi72
EMA and Dow Theory Strategies V2 DOGE Current Optimum Value 📘 Overview These are the current optimal values for DOGE. They are intended for use on the 2‑hour timeframe. This script requires complex configuration, but there is an optimal set of values somewhere. Here, I’m sharing the settings that I personally use at the moment. Turning Take Profit off can lead to higher profits, but it also increases risks such as a lower win rate. With Take Profit on, you can adjust the settings by increasing the values. I have been trading using Dow Theory for many years. Trading with Dow Theory and EMA has been my main strategy. Although it has been profitable, I have long struggled with its low win rate. The issue lies in the immaturity of the exit strategy, and I’m currently experimenting to see if I can solve that. In V2, I added three take‑profit lines, securing 30% of the profit at each level to ensure a minimum level of gain. Additionally, when the trend weakens, half of the position is closed. In all scenarios, the remaining position is held until the trend reverses. The system provides precise entries, adaptive exits, and highly visual guidance that helps traders understand trend structure at a glance. 🧠 Key Features 🔹 1. Dual‑EMA Trend Logic (Symbol + External Index) Both the chart symbol and an external index (OTHERS.D) are evaluated using fast/slow EMAs to determine correlation‑based trend bias. 🔹 2. Dow Theory Swing Detection (Real‑time) The script identifies swing highs/lows and updates trend direction when price breaks them. This creates a structural trend model that reacts faster than EMAs alone. 🔹 3. Gradient Trend Zones (Visual Trend Strength) When trend is up or down, the area between price and the latest swing level is filled with a multi‑step gradient. This makes trend strength and distance-to-structure visually intuitive. 🔹 4. Higher‑Timeframe Swing Trend (htfTrend) Swing highs/lows from a higher timeframe (e.g., 4H) are plotted to show macro structure. Used only for visual context, not for filtering entries. 🔹 5. RSI‑Based Entry Protection RSI prevents entries during extreme overbought/oversold conditions. 🔹 6. Dynamic Exit System Includes: Custom stop‑loss (%) Partial take‑profit (TP1/TP2/TP3) Automatic scale‑out when trend color weakens “Color‑change lockout” to prevent immediate re‑entry Real‑time PnL tracking and labels 🔹 7. Alerts for All Key Events Entry, stop‑loss, partial exits, and trend‑change exits all generate structured JSON alerts. 🔹 8. Visual PnL Labels & Equity Tracking PnL for the latest trade is displayed directly on the chart, including scale‑out adjustments. ⚙️ Input Parameters Parameter Description Fast EMA / Slow EMA EMAs used for symbol trend detection Index Fast / Slow EMA EMAs applied to external index StopLoss (%) Custom stop‑loss threshold Scale‑Out % Portion to exit when trend color weakens RSI Period / Levels Overbought/oversold filters Swing Detection Length Bars used to detect swing highs/lows Stats Display Position of statistics table 🧭 About htfTrend (Higher Timeframe Trend) The higher‑timeframe swing trend is displayed visually but not used for entry logic. Why? Strict HTF filtering reduces trade frequency and often removes profitable setups. By keeping it visual‑only, traders retain flexibility while still benefiting from macro structure awareness. Use it as a contextual guide, not a constraint. 📘 概要 DOGEの現在の最適値です。 2時間足での使用を想定しています。 このスクリプトは複雑な設定が必要ですが、どこかに最適値が存在します。 今回は現在私が個人的に使っている設定値の公開です。 Take ProfitをOFFにするとさらなる利益が望めますが、勝率が下がるなどのリスクが上がります。 ONにした状態で数値を上げることによって調整することが可能です。 私はダウ理論を使ったトレードを長年続けてきました。 ダウ理論とEMAを使ったトレードが私の主力です。 しかし利益は出るものの、長年その勝率の低さに悩んでいました。 問題は出口戦略が未熟なためで、現在はそれらの解決ができないかと試行錯誤を続けています。 V2では3本の利益確定ラインを引き、それぞれ30%ずつ利益を確定し、最低限の利益がでるようにしました。 それ以外にはトレンドが弱まったタイミングで半分の利益確定をし、どのパターンでも残ったポジションはトレンド転換まで持ち続けます。 🧠 主な機能 🔹 1. 銘柄＋外部インデックスの EMA クロス判定 対象銘柄と OTHERS.D の EMA を比較し、相関を考慮したトレンド方向を判定します。 🔹 2. ダウ理論に基づくスイング高値・安値の自動検出 スイング更新によりトレンド方向を切り替える、構造ベースのトレンド判定を採用。 🔹 3. グラデーション背景によるトレンド強度の可視化 スイングラインから現在価格までを段階的に塗り分け、 「どれだけトレンドが伸びているか」を直感的に把握できます。 🔹 4. 上位足スイングトレンド（htfTrend）の表示 4H などの上位足でのスイング高値・安値を表示し、 大局的なトレンド構造を視覚的に把握できます（ロジックには未使用）。 🔹 5. RSI による過熱・売られすぎフィルター 極端な RSI 状態でのエントリーを防止。 🔹 6. 動的イグジットシステム カスタム損切り（％） TP1/TP2/TP3 の段階的利確 トレンド色の弱まりによる自動スケールアウト 色変化後の再エントリー制限（waitForColorChange） リアルタイム PnL の追跡とラベル表示 🔹 7. アラート完備（JSON 形式） エントリー、損切り、部分利確、トレンド反転などすべてに対応。 🔹 8. 損益ラベル・統計表示 直近トレードの損益をチャート上に表示し、視覚的に把握できます。 ⚙️ 設定項目 設定項目名 説明 Fast / Slow EMA 銘柄の EMA 設定 Index Fast / Slow EMA 外部インデックスの EMA 設定 損切り（％） カスタム損切りライン 部分利確割合 トレンド弱化時のスケールアウト割合 RSI 期間・水準 過熱/売られすぎフィルター スイング検出期間 スイング高値・安値の検出に使用 統計表示位置 テーブルの表示位置 🧭 上位足トレンド（htfTrend）について 上位足スイングの更新に基づくトレンド判定を表示しますが、 エントリー条件には使用していません。 理由： 上位足を厳密にロジックへ組み込むと、トレード機会が大幅に減るためです。 本ストラテジーでは、 「大局の把握は視覚で、エントリーは柔軟に」 という設計思想を採用しています。 → 裁量で利確判断や逆張り回避に活用できます。
Strategia Pine Script®
od mm_mitsuya
3
Quality-Controlled Trend Strategy v2 (Expectancy Focused)This script focuses on quality control rather than curve-fitting. No repainting, no intrabar tricks, no fake equity curves. It uses confirmed-bar entries, ATR-based risk, and clean trend logic so backtests reflect what could actually be traded live. If you publish scripts, this is the minimum structure worth sharing. Why this script exists TradingView’s public scripts are flooded with: repainting indicators no stop-loss logic curve-fit entries that collapse live strategies that look good only in hindsight This script is intentionally boring but honest. No repainting. No intrabar tricks. No fake equity curves The goal is quality control, not hype. What this strategy enforces ✔ Confirmed bars only ✔ Single source of truth for indicators ✔ Fixed risk structure ✔ No signal repainting ✔ Clean exits with unique IDs ✔ Works on any liquid market Trading Logic (simple & auditable) Trend filter EMA 50 vs EMA 200 Entry Pullback to EMA 50 RSI confirms momentum (not oversold/overbought) Risk ATR-based stop Fixed R:R One position at a time This is the minimum bar for a strategy to be considered publish-worthy. Why this helps TradingView quality Most low-value scripts fail because they: hide repainting logic skip exits entirely use inconsistent calculations rely on hindsight candles This strategy forces discipline: every signal is confirmed every trade has defined risk behavior is repeatable across symbols & timeframes If more scripts followed this baseline, TradingView’s public library would be far more usable.
Strategia Pine Script®
od AIScripts
Commodity Channel Index CCI + EMA strategy ================================================================================ COMMODITY CHANNEL INDEX CCI + EMA STRATEGY - STRATEGY GUIDE 📊 ================================================================================ 💡 COLLABORATION & SUPPORT --------------------------- If you want to collaborate, have an idea for a strategy, or need help writing or customizing code, send an email to burdytrader@gmail.com or send me a message. Suggestions, ideas, and comments are always welcome! 🤝 I also develop automated trading codes for other trading platforms including: - CTrader (C#) - MetaTrader 4 (MQL4) - MetaTrader 5 (MQL5) If you need a strategy converted or developed for any of these platforms, feel free to contact me! ================================================================================ ⚠️ IMPORTANT: INSTRUMENT SELECTION 📈 ------------------------------------- This strategy performs BEST with currency pairs (forex). The CCI indicator works particularly well in the forex market due to the nature of currency movements and the effectiveness of the CCI in identifying overbought and oversold conditions in trending markets. Why Currency Pairs? 🎯 - CCI is highly effective in identifying reversals in forex markets - Currency pairs show clear overbought/oversold patterns - EMA filter (50/200) aligns well with major forex trends - High liquidity ensures reliable signal execution Performance Highlights: In specific currency pairs, when properly configured, this strategy can achieve: - Profit Factor: Over 2.0 - Win Rate: Up to 70% - Particularly effective pairs: USDCAD, EURUSD, GBPJPY While the strategy can work with other instruments (stocks, indices, commodities), currency pairs provide the most consistent and reliable results. For optimal performance, focus on major forex pairs with good liquidity and clear trending characteristics. ================================================================================ WHAT DOES THIS STRATEGY DO? 🎯 --------------------------- This strategy combines the Commodity Channel Index (CCI) with Exponential Moving Averages (EMA) to identify high-probability trading opportunities. The strategy uses CCI crossovers with a smoothing moving average and filters signals using EMA trend confirmation. The strategy automatically enters trades when CCI crosses the smoothing MA in specific zones, indicating potential trend reversals or continuations. HOW IT WORKS? ⚙️ --------------- 1. CCI CALCULATION 📈 The strategy calculates the Commodity Channel Index using: - CCI = (Price - SMA(Price, length)) / (0.015 × Deviation(Price, length)) - Default length: 20 periods - Source: HLC3 (typical price) The CCI shows: - Values above +100 = Overbought conditions - Values below -100 = Oversold conditions - Values around 0 = Neutral conditions 2. SMOOTHING MOVING AVERAGE 📊 A moving average is applied to the CCI to smooth out fluctuations: - Types available: SMA, EMA, SMMA (RMA), WMA, VWMA - Default: SMA with length 14 - Can be disabled (set to "None") This smoothed line acts as a reference for crossover signals. 3. EMA TREND FILTER 🎯 Two EMAs are calculated on the CCI: - EMA 50 (fast EMA) - EMA 200 (slow EMA) When the EMA filter is enabled: - LONG signals only occur when EMA50 > EMA200 (uptrend confirmation) - SHORT signals only occur when EMA50 < EMA200 (downtrend confirmation) This filter can be enabled/disabled via the "Use EMA Filter" option. 4. ENTRY CONDITIONS 🎲 LONG ENTRY (Buy Signal): - CCI crosses ABOVE the Smoothing MA (crossover) - CCI is between Lower Level (-100) and Middle Level (0) - EMA Filter: EMA50 > EMA200 (if filter enabled) - No existing positions (or close opposite positions first) SHORT ENTRY (Sell Signal): - CCI crosses BELOW the Smoothing MA (crossunder) - CCI is between Middle Level (0) and Upper Level (+100) - EMA Filter: EMA50 < EMA200 (if filter enabled) - No existing positions (or close opposite positions first) 5. POSITION MANAGEMENT 💰 The strategy uses a simple position management approach: - Only ONE position at a time (no pyramiding) - If a signal occurs in the opposite direction, closes existing position first - Then opens new position in the new direction - This prevents overexposure and simplifies risk management 6. TAKE PROFIT & STOP LOSS SETTINGS 🎯 The strategy uses percentage-based TP/SL: - Take Profit: 1.0% (default, configurable) - Stop Loss: 0.5% (default, configurable) - Risk/Reward Ratio: 2:1 (TP is double the SL) TP/SL are calculated once when the position opens and remain fixed. AVAILABLE PARAMETERS ⚙️ ----------------------- CCI SETTINGS: 1. CCI Length (Default: 20) - Period for CCI calculation - Lower values = More sensitive to recent price action - Higher values = More smoothed, less sensitive 2. CCI Source (Default: HLC3) - Price source for CCI calculation - Options: close, open, high, low, hlc3, hlcc4, ohlc4 3. CCI Lower Level (Default: -100) - Lower boundary for LONG entry zone - Typically -100 for oversold conditions 4. CCI Middle Level (Default: 0) - Neutral level separating LONG and SHORT zones 5. CCI Upper Level (Default: +100) - Upper boundary for SHORT entry zone - Typically +100 for overbought conditions SMOOTHING MA: 6. Type (Default: SMA) - Moving average type: None, SMA, EMA, SMMA (RMA), WMA, VWMA - Set to "None" to disable smoothing 7. Length (Default: 14) - Period for smoothing MA - Range: 7-28, step 7 EMA FILTER: 8. EMA 1 Length (Default: 50) - Fast EMA period applied to CCI 9. EMA 2 Length (Default: 200) - Slow EMA period applied to CCI 10. Use EMA Filter (Default: true) - Enable/disable EMA trend filter - When enabled: LONG only if EMA50 > EMA200, SHORT only if EMA50 < EMA200 RISK MANAGEMENT: 11. Take Profit (%) (Default: 1.0%) - Profit target as percentage of entry price - For LONG: Entry × (1 + TP%) - For SHORT: Entry × (1 - TP%) 12. Stop Loss (%) (Default: 0.5%) - Stop loss as percentage of entry price - For LONG: Entry × (1 - SL%) - For SHORT: Entry × (1 + SL%) VISUALIZATION 📊 --------------- The strategy displays in a separate panel below the price chart: 1. CCI LINE - Blue line showing the CCI value - Oscillates around zero 2. SMOOTHING MA LINE - Yellow line showing the smoothed CCI - Reference line for crossover signals 3. CCI LEVEL LINES - Red dashed line: Upper Level (+100) - Green dashed line: Lower Level (-100) - Yellow dashed line: Middle Level (0) 4. ENTRY SIGNALS - Green cross: LONG entry signal (when CCI crosses above MA) - Red cross: SHORT entry signal (when CCI crosses below MA) RECOMMENDED SETTINGS 🎯 ----------------------- To get started, you can use these settings: CCI SETTINGS: - CCI Length: 20 (default) - CCI Source: HLC3 (default) - CCI Lower Level: -100 (default) - CCI Middle Level: 0 (default) - CCI Upper Level: +100 (default) SMOOTHING MA: - Type: SMA (default) or EMA for faster response - Length: 14 (default) EMA FILTER: - EMA 1 Length: 50 (default) - EMA 2 Length: 200 (default) - Use EMA Filter: true (recommended for better signal quality) RISK MANAGEMENT: - Take Profit (%): 1.0% (adjust based on your risk/reward preference) - Stop Loss (%): 0.5% (adjust based on your risk tolerance) For more aggressive trading: - Reduce CCI Length to 14-16 - Reduce Smoothing MA Length to 7 - Disable EMA Filter For more conservative trading: - Increase CCI Length to 24-30 - Increase Smoothing MA Length to 21-28 - Keep EMA Filter enabled RECOMMENDED CURRENCY PAIRS 💱 ------------------------------ This strategy is optimized for currency pairs and performs exceptionally well on the following pairs when properly configured: TOP PERFORMING PAIRS: - USDCAD: Can achieve Profit Factor > 2.0 and Win Rate up to 70% - EURUSD: Excellent performance with consistent signals - GBPJPY: Strong results with proper EMA filter configuration These pairs have shown the best historical performance due to: - Clear trending characteristics - Good response to CCI overbought/oversold levels - Strong alignment with EMA 50/200 trend filter - High liquidity ensuring reliable execution When trading these pairs, use the default settings or slightly adjusted parameters based on the pair's volatility. Always backtest on historical data before using real money to find the optimal configuration for each specific pair. PRACTICAL EXAMPLE 📝 -------------------- Scenario: LONG Entry on EUR/USD 1. Market conditions: - Price: 1.1000 - CCI: -80 (in oversold zone) - Smoothing MA: -90 - CCI crosses above Smoothing MA (crossover occurs) - EMA50: -50, EMA200: -70 (EMA50 > EMA200, uptrend confirmed) 2. Strategy checks conditions: ✓ Smoothing MA enabled: Yes ✓ Crossover: Yes (CCI crosses above MA) ✓ CCI in range: Yes (-100 <= -80 <= 0) ✓ EMA Filter: Yes (EMA50 > EMA200) ✓ No existing position: Yes 3. Strategy opens position: - Direction: LONG (Buy) - Entry: 1.1000 (current close) - Take Profit: 1.1110 (1.0% above entry) - Stop Loss: 1.0945 (0.5% below entry) - Risk/Reward: 2:1 4. Outcome scenarios: - If price rises to 1.1110 → Take Profit hit (profit) - If price falls to 1.0945 → Stop Loss hit (loss limited) IMPORTANT NOTE ⚠️ ----------------- This strategy is a technical analysis tool based on CCI and EMA indicators. Like all trading strategies, it does NOT guarantee profits. Trading involves significant risks and you can lose money, including your entire investment. Past performance does not guarantee future results. Always: - Use appropriate risk management - Never risk more than you can afford to lose - Test the strategy on historical data (backtesting) before using real money - Start with small position sizes or paper trading - Understand that no strategy works 100% of the time - Consider market conditions, news events, and other factors - Keep a trading journal to learn and improve The author and contributors are NOT responsible for any losses incurred from using this strategy. Trading decisions are your own responsibility. Profits are NOT guaranteed, and losses are possible. LICENSE 📄 ---------- This code is open source and available for modification. You are free to use, modify, and distribute this strategy. If you republish or share a modified version, please kindly mention the original author. ================================================================================
Strategia Pine Script®
od Burdiga84
Delta Volume EMA Strategy ================================================================================ DELTA VOLUME EMA STRATEGY - STRATEGY GUIDE 📊 ================================================================================ 💡 COLLABORATION & SUPPORT --------------------------- If you want to collaborate, have an idea for a strategy, or need help writing or customizing code, send an email to burdytrader@gmail.com or send me a message. Suggestions, ideas, and comments are always welcome! 🤝 ================================================================================ ⚠️ IMPORTANT: INSTRUMENT SELECTION 📈 ------------------------------------- This strategy performs BEST with instruments that have a centralized data flow, such as Futures contracts. Centralized markets provide more accurate and reliable volume data, which is essential for Volume Delta analysis to work effectively. Why Futures? 🎯 - Centralized exchange = Accurate volume data - All trades flow through a single exchange - Volume reflects true buying/selling pressure - Better correlation between volume and price movements While the strategy can work with other instruments (stocks, forex, etc.), volume data quality may vary, which can affect the reliability of Volume Delta signals. For optimal performance, use Futures contracts or other instruments with centralized, high-quality volume data. ================================================================================ WHAT DOES THIS STRATEGY DO? 🎯 --------------------------- This strategy uses Volume Delta analysis combined with Exponential Moving Averages (EMA) to identify high-probability trading opportunities. The Volume Delta measures the difference between buying and selling pressure, helping to identify when strong institutional or smart money movements occur. The strategy automatically enters trades when volume delta reaches extreme levels, indicating potential trend continuation or reversal points. HOW IT WORKS? ⚙️ --------------- 1. VOLUME DELTA CALCULATION 📈 The strategy calculates the Volume Delta using the following formula: - Volume Ratio (v) = Current Volume / Previous Volume - EMA of Close (mac) = EMA(Close, MA Length) × Volume Ratio - EMA of Open (mao) = EMA(Open, MA Length) × Volume Ratio - Volume Delta (vd) = mac - mao The Volume Delta shows: - Positive values (green) = Buying pressure (buyers are more active) - Negative values (red) = Selling pressure (sellers are more active) 2. VOLUME DELTA MOVING AVERAGE 📊 The strategy calculates an EMA of the Volume Delta (vdma) to smooth out fluctuations and identify the overall trend of buying/selling pressure: - vdma = EMA(Volume Delta, EMA Length) - When vdma is above zero = Overall buying pressure - When vdma is below zero = Overall selling pressure 3. PERCENTILE-BASED ENTRY CONDITIONS 🎲 Instead of using fixed thresholds, the strategy uses percentile analysis to identify extreme volume delta movements: For LONG entries: - Analyzes seller volumes (negative volume delta) over the lookback period - Calculates the percentile threshold (default: 80th percentile) - Enters LONG when volume delta becomes positive AND exceeds the threshold - This indicates a strong shift from selling to buying pressure For SHORT entries: - Analyzes buyer volumes (positive volume delta) over the lookback period - Calculates the percentile threshold (default: 80th percentile) - Enters SHORT when volume delta becomes negative AND exceeds the threshold - This indicates a strong shift from buying to selling pressure 4. POSITION SIZING 💰 The strategy offers two position sizing methods: a) RISK VALUE (Fixed Risk in Dollars): - Calculates position size based on a fixed dollar risk amount - Formula: Position Size = Risk Amount / (Entry Price × Stop Loss %) - Ensures consistent risk per trade regardless of price level b) LOTS SIZE: - Uses a fixed lot size for all trades - Simple and straightforward approach - Useful when you want consistent position sizes 5. TAKE PROFIT & STOP LOSS SETTINGS 🎯 The strategy offers flexible TP/SL configuration in three modes: a) PERCENTAGE (%): - TP/SL calculated as a percentage of entry price - Example: 2% TP means entry price × 1.02 (for LONG) or × 0.98 (for SHORT) - Adapts automatically to different price levels b) CURRENCY: - TP/SL set as a fixed currency amount - Example: $100 TP means entry price + $100 (for LONG) or - $100 (for SHORT) - Useful for instruments with consistent price movements c) PIPS: - TP/SL set as a fixed number of pips - Automatically converts pips to price using the instrument's minimum tick - Ideal for forex and other pip-based instruments 6. AUTOMATIC TRADE EXECUTION ⚡ When entry conditions are met: - Opens a position (LONG or SHORT) at market price - Automatically sets Take Profit and Stop Loss based on selected mode - Sends an alert with all trade information - Only one position at a time (waits for current position to close) AVAILABLE PARAMETERS ⚙️ ---------------------- 1. MA LENGTH (Default: 10) - Length of the Exponential Moving Average used for close and open prices - Lower values = More sensitive to recent price action - Higher values = More smoothed, less sensitive 2. EMA LENGTH (Default: 20) - Length of the EMA applied to Volume Delta - Controls the smoothing of the volume delta signal - Lower values = Faster signals, more trades - Higher values = Slower signals, fewer but potentially more reliable trades 3. POSITION SIZE MODE - "Risk Value": Calculate position size based on fixed dollar risk - "Lots Size": Use fixed lot size for all trades 4. FIXED RISK IN $ (Default: 50) - Only used when Position Size Mode = "Risk Value" - The dollar amount you're willing to risk per trade - Strategy calculates position size automatically 5. LOT SIZE (Default: 0.01) - Only used when Position Size Mode = "Lots Size" - Fixed lot size for all trades 6. TAKE PROFIT MODE - "%": Percentage of entry price - "Currency": Fixed currency amount - "Pips": Fixed number of pips 7. STOP LOSS MODE - "%": Percentage of entry price - "Currency": Fixed currency amount - "Pips": Fixed number of pips 8. TAKE PROFIT / STOP LOSS VALUES - Different input fields appear based on selected mode - Configure TP and SL independently 9. VOLUME LOOKBACK PERIOD (Default: 20) - Number of bars used to calculate percentile thresholds - Lower values = More sensitive, adapts faster to recent conditions - Higher values = More stable, uses longer-term statistics 10. PERCENTILE THRESHOLD (Default: 80%) - The percentile level used to identify extreme volume delta movements - 80% means: only enter when volume delta exceeds 80% of recent values - Higher values = Fewer but potentially stronger signals - Lower values = More frequent signals VISUALIZATION 📊 --------------- The strategy displays on the chart: 1. VOLUME DELTA COLUMNS - Green columns = Positive volume delta (buying pressure) - Red columns = Negative volume delta (selling pressure) - Height represents the magnitude of buying/selling pressure 2. VOLUME DELTA MA AREA - Two overlapping area plots showing the smoothed volume delta - Black area (base layer) for overall visualization - Green area (when positive) = Overall buying pressure trend - Red area (when negative) = Overall selling pressure trend - Helps identify the dominant market sentiment 3. ZERO LINE - Horizontal line at zero - Helps visualize when buying/selling pressure crosses the neutral point ALERTS 🔔 -------- When enabled, the strategy sends alerts when a trade is opened. The alert message includes: - Direction: "Buy" for LONG positions or "Sell" for SHORT positions - Entry Price: The price at which the position was opened - TP (Take Profit): The target profit price - SL (Stop Loss): The stop loss price Example alert message: "Buy | Entry: 1.2050 | TP: 1.2250 | SL: 1.1950" Alerts can be configured in TradingView to send notifications via email, SMS, webhooks, or other platforms. RECOMMENDED SETTINGS 🎯 ----------------------- To get started, you can use these settings: STRATEGY PARAMETERS: - MA Length: 10 (default) - EMA Length: 20 (default) - Volume Lookback Period: 20 (default) - Percentile Threshold: 80% (default) POSITION SIZING: - Position Size Mode: "Risk Value" (for risk management) - Fixed Risk in $: Adjust based on your account size (e.g., 1-2% of account) - OR use "Lots Size" with 0.01 lots for small accounts TAKE PROFIT & STOP LOSS: - TP Mode: "%" (recommended for most instruments) - SL Mode: "%" (recommended for most instruments) - Take Profit (%): 2.0% (adjust based on your risk/reward preference) - Stop Loss (%): 1.0% (adjust based on your risk tolerance) For Forex: - Consider using "Pips" mode for TP/SL - Typical values: 20-50 pips TP, 10-30 pips SL For Stocks/Indices: - Use "%" mode for TP/SL - Typical values: 2-5% TP, 1-2% SL PRACTICAL EXAMPLE 📝 ------------------- Scenario: LONG Entry on EUR/USD 1. Market conditions: - Price: 1.1000 - Volume Delta becomes strongly positive - Volume Delta exceeds 80th percentile of recent seller volumes 2. Strategy calculates: - Entry Price: 1.1000 (current close) - Position Size Mode: "Risk Value" - Fixed Risk: $50 - Stop Loss Mode: "%" - Stop Loss: 1.0% - Position Size = $50 / (1.1000 × 0.01) = 4.55 lots 3. Strategy opens position: - Direction: LONG (Buy) - Entry: 1.1000 - Take Profit: 1.1220 (2% above entry) - Stop Loss: 1.0890 (1% below entry) - Alert sent: "Buy | Entry: 1.1000 | TP: 1.1220 | SL: 1.0890" 4. Outcome scenarios: - If price rises to 1.1220 → Take Profit hit (profit) - If price falls to 1.0890 → Stop Loss hit (loss limited to $50) IMPORTANT NOTE ⚠️ ----------------- This strategy is a technical analysis tool based on volume delta analysis. Like all trading strategies, it does NOT guarantee profits. Trading involves significant risks and you can lose money, including your entire investment. Past performance does not guarantee future results. Always: - Use appropriate risk management - Never risk more than you can afford to lose - Test the strategy on historical data (backtesting) before using real money - Start with small position sizes or paper trading - Understand that no strategy works 100% of the time - Consider market conditions, news events, and other factors - Keep a trading journal to learn and improve The author and contributors are NOT responsible for any losses incurred from using this strategy. Trading decisions are your own responsibility. Profits are NOT guaranteed, and losses are possible. LICENSE 📄 --------- This code is open source and available for modification. You are free to use, modify, and distribute this strategy. If you republish or share a modified version, please kindly mention the original author. ================================================================================
Strategia Pine Script®
od Burdiga84
Golden Vector Trend Orchestrator (GVTO)Golden Vector Trend Orchestrator (GVTO) is a composite trend-following strategy specifically engineered for XAUUSD (Gold) and volatile assets on H4 (4-Hour) and Daily timeframes. This script aims to solve a common problem in trend trading: "Whipsaws in Sideways Markets." Instead of relying on a single indicator, GVTO employs a Multi-Factor Confluence System that filters out low-probability trades by requiring alignment across Trend Structure, Momentum, and Volatility. 🛠 Methodology & Logic The strategy executes trades only when four distinct technical conditions overlap (Confluence). If any single condition is not met, the trade is filtered out to preserve capital. 1. Market Structure Filter (200 EMA) Indicator: Exponential Moving Average (Length 200). Logic: The 200 EMA acts as the baseline for the long-term trend regime. Bullish Regime: Price must close above the 200 EMA. Bearish Regime: Price must close below the 200 EMA. Purpose: Prevents counter-trend trading against the macro direction. 2. Signal Trigger & Trailing Stop (Supertrend) Indicator: Supertrend (ATR Length 14, Factor 3.5). Logic: Uses Average True Range (ATR) to detect trend reversals while accounting for volatility. Purpose: Provides the specific entry signal and acts as a dynamic trailing stop-loss to let profits run while cutting losses when the trend invalidates. 3. Volatility Gatekeeper (ADX Filter) Indicator: Average Directional Index (Length 14). Threshold: > 25. Logic: A high ADX value indicates a strong trend presence, regardless of direction. Purpose: This is the most critical filter. It prevents the strategy from entering trades during "choppy" or ranging markets (consolidation zones) where trend-following systems typically fail. 4. Momentum Confirmation (DMI) Indicator: Directional Movement Index (DI+ and DI-). Logic: Checks if the buying pressure (DI+) is physically stronger than selling pressure (DI-), or vice versa. Purpose: Ensures that the price movement is backed by genuine momentum, not just a momentary price spike. 📋 How to Use This Strategy 🟢 LONG (BUY) Setup A Buy signal is generated only when ALL of the following occur simultaneously: Price Action: Price closes ABOVE the 200 EMA (Orange Line). Trigger: Supertrend flips to GREEN (Bullish). Strength: ADX is greater than 25 (Strong Trend). Momentum: DI+ (Plus Directional Indicator) is greater than DI- (Minus). 🔴 SHORT (SELL) Setup A Sell signal is generated only when ALL of the following occur simultaneously: Price Action: Price closes BELOW the 200 EMA (Orange Line). Trigger: Supertrend flips to RED (Bearish). Strength: ADX is greater than 25 (Strong Trend). Momentum: DI- (Minus Directional Indicator) is greater than DI+ (Plus). 🛡 Exit Strategy Stop Loss / Take Profit: The strategy utilizes the Supertrend Line as a dynamic Trailing Stop. Exit Long: When Supertrend turns Red. Exit Short: When Supertrend turns Green. Note: Traders can also use the real-time P/L Dashboard included in the script to manually secure profits based on their personal Risk:Reward ratio. 📊 Included Features Real-Time P/L Dashboard: A table in the top-right corner displays the current trend status, ADX strength, and the Unrealized Profit/Loss % of the current active position. Smart Labeling: Buy/Sell labels are coded to appear only on the initial entry trigger. They do not repaint and do not spam the chart if the trend continues (no pyramiding visualization). Visual Aids: Background color changes (Green/Red) to visually represent the active trend based on the Supertrend status. ⚠️ Risk Warning & Best Practices Asset Class: Optimized for XAUUSD (Gold) due to its high volatility nature. It also works well on Crypto (BTC, ETH) and Major Forex Pairs. Timeframe: Highly recommended for H4 (4 Hours) or D1 (Daily). Using this on lower timeframes (M5, M15) may result in false signals due to market noise. News Events: Automated strategies cannot predict economic news (CPI, NFP). Exercise caution or pause trading during high-impact economic releases.
Strategia Pine Script®
od Gustav_Rex
1
Algomist.app v1.0🚀 WMA Crossover Momentum Scalper: Algomist.app AUTO-EXECUTION This strategy is a momentum-based trend-following system optimized for fully automated, high-frequency trade execution via algomist.app webhooks. It systematically enters trades based on a powerful moving average crossover, confirmed by both volume and volatility filters. ⚙️ Core Strategy Logic This script is designed to capture short- to medium-term moves in trending markets by combining three key indicators: Trend Confirmation (WMA Crossover): The primary signal is generated when a Fast WMA (50-period) crosses the Slow WMA (100-period). This crossover confirms the shift in the prevailing trend direction. Volume Filter (VWAP): The trade is only taken if the price is trading above the VWAP for Long entries, or below the VWAP for Short entries. This ensures the trade is aligned with the asset's average price relative to trading volume. Volatility Filter (ATR): A minimum Average True Range (ATR) filter is applied. This is critical for avoiding entries during periods of extreme low volatility ("chop"), ensuring the market has enough movement to justify the trade. 🔗 Algomist.app Automation Ready This is the most important feature. The script contains custom-coded alert() functions that output a perfect JSON payload, making it 100% compatible with the algomist.app webhook infrastructure. Seamless Execution: The strategy instantly transmits all required parameters—symbol, side, entry_price, dynamic stop_loss, and dynamic take_profit—directly to your MT5 terminal through the algomist.app connector. Simple Setup: To enable live automation, you only need to configure a TradingView alert using the provided webhook URL and the {{strategy.order.alert_message}} placeholder on the bar's close. Default Asset: The webhook is pre-configured to trade the ETHUSDC symbol. This can be easily adapted to other crypto or Forex pairs within the algomist.app settings. 🛡️ Dynamic Risk Management (ATR-Based) Risk management is dynamic, ensuring the Stop Loss and Take Profit levels automatically adapt to current market volatility: Stop Loss (SL): Placed at a customizable (x) * ATR distance from the entry price. The default setting is 3.0x ATR. Take Profit (TP): Placed at a customizable (x) * ATR distance from the entry price. The default setting is 9.0x ATR, offering a fixed Reward-to-Risk ratio of 3:1 (9.0 / 3.0). Position Sizing: The script uses strategy.percent_of_equity = 10% for backtesting, but the algomist.app execution is based on an internal calculation using a small percentage (e.g., 5%) of a leveraged notional value for illustrative purposes. Users must set their risk size within the algomist.app platform. Disclaimer: This script is provided as an example for Algomist.app users and is NOT financial advice. Backtest thoroughly across various assets and timeframes. Past performance is not indicative of future results. The user assumes all responsibility for live trading risk.
Strategia Pine Script®
od Algomist_
Liquidity Retest Strategy (Apicode) - TP/SL Lines FixedTechnical Documentation: 1. Purpose and underlying concept This strategy targets a common behavior in liquid markets: liquidity sweeps around meaningful support/resistance levels, followed by a retest and rejection (reversal) with confirmation. The core thesis is that many initial “breaks” are not continuation moves, but rather stop-runs and order harvesting. After the sweep, price reclaims the level and closes back on the opposite side, offering a structured entry with defined risk. The strategy includes: Support/Resistance detection via pivots Dynamic selection of the “working” level using an ATR-based proximity window Rejection validation via candle structure (wick + close) Optional filters: volume, VWAP-like bias, and EMA trend Risk management with static TP/SL (ATR-based or %), plus trailing stop (ATR-based or %), with per-trade lines plotted 2. Main components 2.1. Volatility metric: ATR atr = ta.atr(atrLength) is used in two essential places: Level selection (proximity to S/R): prevents trading levels that are too far from current price. Sweep validation (minimum wick size): requires the wick to extend beyond the level by a volatility-relative amount. Optionally, ATR can also be used for: Static TP/SL (when usePercent = false) Trailing stop (when useTrailPercent = false) 2.2. Building S/R levels with pivots Pivots are detected using: pivotHigh = ta.pivothigh(pivotLookback, rightBars) pivotLow = ta.pivotlow(pivotLookback, rightBars) Each confirmed pivot is stored in arrays: resistanceLevels for resistance supportLevels for support The array size is capped by maxLevels, which reduces noise and manages chart resource usage (lines). 2.3. Selecting the “best” level each bar On each bar, a single support S and/or resistance R candidate is chosen: Support: nearest level below price (L < price) Resistance: nearest level above price (L > price) Only levels within atr * maxDistATR are considered This produces dynamic “working levels” that adapt to price location and volatility. 2.4. Rejection pattern (retest + sweep) After selecting the working level: Support rejection (long setup) Conditions: Low touches/crosses support: low <= S Close reclaims above: close > S Bullish candle: close > open Sufficient wick below the level (liquidity sweep): (S - low) >= atr * minWickATR This aims to capture a stop sweep below support followed by immediate recovery. Resistance rejection (short setup) Symmetric conditions: High touches/crosses resistance: high >= R Close rejects back below: close < R Bearish candle: close < open Sufficient wick above the level: (high - R) >= atr * minWickATR 2.5. Optional filters Final signals are the rejection pattern AND enabled filters: 1.- Volume filter High volume is defined as: volume > SMA(volume, 20) * volMult When useVolFilter = true, setups require relatively elevated participation 2.- VWAP-like bias filter A VWAP-like series is computed over vwapLength (typical price weighted by volume) When useVWAPFilter = true: - Longs only if close > vwap - Shorts only if close < vwap 3.- EMA trend filter Uptrend if EMA(fast) > EMA(slow) When useTrendFilter = true: - Longs only in uptrend - Shorts only in downtrend 2.6. Backtest time window (time filter) To keep testing focused and reduce long-history noise: useMaxLookbackDays enables the filter maxLookbackDays defines how many days back from timenow entries are allowed Entries are permitted only when time >= startTime. 3. Entry rules and position control 3.1. Entries strategy.entry('Long', strategy.long) when longSetup and no long position is open strategy.entry('Short', strategy.short) when shortSetup and no short position is open No pyramiding is allowed (pyramiding = 0). Position gating is handled by: Long allowed if strategy.position_size <= 0 Short allowed if strategy.position_size >= 0 4. Risk management: TP/SL and trailing (with plotted lines) 4.1. Detecting entry/exit events Events are identified via changes in strategy.position_size: LongEntry: transition into a long shortEntry: transition into a short flatExit: transition back to flat This drives per-trade line creation, updates, and cleanup of state variables. 4.2. Static TP/SL On entry, entryPrice := strategy.position_avg_price is stored. Percent mode (usePercent = true) Long: staticSL = entryPrice*(1 - slPerc/100) staticTP = entryPrice*(1 + tpPerc/100) Short: staticSL = entryPrice*(1 + slPerc/100) staticTP = entryPrice*(1 - tpPerc/100) ATR mode (usePercent = false) Long: staticSL = entryPrice - atrAtEntry*slATR staticTP = entryPrice + atrAtEntry*tpATR Short: staticSL = entryPrice + atrAtEntry*slATR staticTP = entryPrice - atrAtEntry*tpATR 4.3. Trailing stop (custom) While a position is open, the script tracks the most favorable excursion: Long: hhSinceEntry = highest high since entry Short: llSinceEntry = lowest low since entry A trailing candidate is computed: Percent trailing (useTrailPercent = true) Long: trailCandidate = hhSinceEntry*(1 - trailPerc/100) Short: trailCandidate = llSinceEntry*(1 + trailPerc/100) ATR trailing (useTrailPercent = false) Long: trailCandidate = hhSinceEntry - atr*trailATR Short: trailCandidate = llSinceEntry + atr*trailATR Then the effective stop is selected: Long: slUsed = max(staticSL, trailCandidate) when useTrail is enabled Short: slUsed = min(staticSL, trailCandidate) when useTrail is enabled If useTrail is disabled, slUsed remains the static stop. Take profit remains static: tpUsed = staticTP Exit orders are issued via: strategy.exit(..., stop=slUsed, limit=tpUsed) 4.4. Per-trade TP/SL lines On each entry, two lines are created (SL and TP) via f_createLines(). During the trade, the SL line updates when trailing moves the stop; TP remains fixed. On exit (flatExit), both lines are finalized on the exit bar and left on the chart as historical references. This makes it straightforward to visually audit each trade: entry context, intended TP, and trailing evolution until exit. 5. Visualization and debugging BUY/SELL labels with configurable size (xsize) Debug mode (showDebug) plots the chosen working support/resistance level each bar Stored pivot levels are drawn using reusable line slots, projected a fixed 20 bars to the right to keep the chart readable and efficient 6. Parameter guidance and practical notes pivotLookback / rightBars: controls pivot significance vs responsiveness. Lower rightBars confirms pivots earlier but can increase noise. maxDistATR: too low may reject valid levels; too high may select distant, less relevant levels. minWickATR: key quality gate for “real” sweeps. Higher values reduce frequency but often improve signal quality. Filters: Volume filter tends to help in ranges and active sessions. VWAP bias is useful intraday to align trades with session positioning. EMA trend filter is helpful in directional markets but may remove good mean-reversion setups. Percent TP/SL: provides consistent behavior across assets with variable volatility, but is less adaptive to sudden regime shifts. Percent trailing: can capture extensions well; calibrate trailPerc per asset/timeframe (too tight = premature exits). 7. Known limitations Pivot-derived levels are a heuristic; in strong trends, valid retests may be limited. The time filter uses timenow; behavior may vary depending on historical context and how the platform evaluates “current time.” TP/SL and trailing are computed from bar OHLC; in live trading, intrabar sequencing and fills may differ from bar-close simulation.
Strategia Pine Script®
od Apicode
Estrategia Timing SMA 10 de Faber Introduction This strategy is based on the classic trend-following logic popularized by Meb Faber in his white papers (such as "A Quantitative Approach to Tactical Asset Allocation") and frequently discussed by financial analyst José Luis Cárpatos. The core philosophy is simple but effective: stay in the market during uptrends to capture growth, and move to cash during downtrends to protect capital from major drawdowns. This is a long-term "Timing" strategy designed for investors who want to filter out market noise and focus on the primary macro trend. How it Works The strategy utilizes a specific Moving Average on a Monthly timeframe to determine the trend direction. The Indicator: A 10-period Simple Moving Average (SMA) calculated on the Monthly timeframe (1M). Long Condition: When the Monthly Close price is above the 10-Month SMA, the strategy enters a Long position (Risk On). Exit Condition (Cash): When the Monthly Close price falls below the 10-Month SMA, the strategy closes the position and stays in Cash (Risk Off). It does not open short positions; it simply exits the market to preserve capital. Key Features (Multi-Timeframe) This script has been coded using request.security to force the calculation on Monthly data (1M), regardless of the chart timeframe you are currently viewing. This allows you to view the strategy on a Daily or Weekly chart while ensuring the mathematical logic remains strictly bound to the Monthly moving average. The SMA line will appear "stepped" on lower timeframes (e.g., Daily), representing the constant value of the SMA for that specific month. Settings Length: Default is 10 (representing 10 Months), but this can be adjusted if you wish to test other periods (e.g., 12 months). Source: Defaults to close. Visuals Blue Line: Represents the 10-Month SMA. Background Color: Green: Indicates the strategy is currently Long (Price > SMA). Red/Grey: Indicates the strategy is in Cash (Price < SMA). Important Note on Backtesting & Repainting Because this strategy requests Monthly data on lower timeframes (like Daily), please be aware that the current month's data is dynamic. The signal is technically confirmed only at the close of the monthly bar. When viewing on a Daily chart, the script evaluates the relationship between the current price and the current monthly SMA. Disclaimer This script is for educational and research purposes only. Past performance is not indicative of future results. Always manage your risk appropriately.
Strategia Pine Script®
od MrOskama
Fibonacci 5 Candles Retracement ================================================================================ FIBONACCI 5 CANDLES RETRACEMENT - STRATEGY GUIDE ================================================================================ WHAT DOES THIS STRATEGY DO? --------------------------- This strategy automatically identifies market trends and uses Fibonacci retracements to find the best entry points. The idea is simple: when price makes a strong movement (trend), it often pulls back before continuing in the same direction. The strategy captures these "pullbacks" to enter at the right moment. HOW IT WORKS? ------------- 1. TREND DETECTION The strategy looks for 5 consecutive candles of the same color: - 5 red candles = BEARISH trend (price falls) - 5 green candles = BULLISH trend (price rises) 2. CALCULATION OF START AND END POINTS For a BEARISH trend (5 red candles): - START: The highest point between the first red candle and the previous one - END: The lowest point reached during the 5 candles (and beyond, if the trend continues) For a BULLISH trend (5 green candles): - START: The lowest point between the first green candle and the previous one - END: The highest point reached during the 5 candles (and beyond, if the trend continues) 3. DYNAMIC UPDATE The END point updates automatically if price continues to move in the direction of the trend, creating new highs (for bullish trends) or new lows (for bearish trends). 4. TREND END Normal Mode: - BEARISH trend ends when a candle closes above the previous candle's open - BULLISH trend ends when a candle closes below the previous candle's open "Extended Trend" mode (optional): - The trend remains active until a candle closes beyond the dynamic 50% retracement level - When this happens, the END point "freezes" (stops updating), but the trend can continue 5. FIBONACCI RETRACEMENT CALCULATION Once START and END are identified, the strategy automatically calculates Fibonacci levels. IMPORTANT: for retracements and pending orders, we consider START as 100% and END as 0%, because we work on the part of the trend that is recovered (the pullback). The retracement levels are: - 70% = level closest to START (smallest retracement) - 60% = second level - 50% = central level (often used for entry) - 25% = level closest to END (largest retracement) 6. PENDING ORDER PLACEMENT When a trend is identified and completed, the strategy automatically places a pending order (limit order) at one of the selectable Fibonacci levels. Available levels: - 25%: closest to END - 50%: central level (balanced) - 60%: closest to START - 70%: very close to START The order direction depends on the trend: - BEARISH trend → SHORT order (bet that price falls) - BULLISH trend → LONG order (bet that price rises) Stop Loss and Take Profit (for retracements): - Stop Loss: always at START level - Take Profit: always at END level EXTENDED TAKE PROFIT: If the order is executed (filled), the strategy can apply an "Extended Take Profit" if configured. IMPORTANT: for the extended TP calculation, we consider START as 0% and END as 100% (the original trend movement). For example, if you set 3%, the Take Profit will be at 103% of the original trend movement instead of 100%. AVAILABLE FILTERS ----------------- 1. MINIMUM TREND (pips) Filters trends that are too small. If a trend is below the set value: - START and END labels become gray (instead of red/green) - No pending order is placed - The trend is still displayed on the chart Useful for avoiding trading movements that are too small. 2. EMA FILTER Uses two moving averages (EMA 50 and EMA 200) to filter direction: - If active: places LONG orders only when EMA50 > EMA200 (uptrend) - If active: places SHORT orders only when EMA50 < EMA200 (downtrend) Useful for trading only in the direction of the main trend. 3. EXTENDED TREND Modifies how the trend is considered "completed": - If disabled: uses normal logic (opposite candle) - If active: the trend remains in formation until a candle closes beyond the dynamic 50%. When this happens, END freezes but the trend can continue. Useful for capturing longer trends and extended movements. VISUALIZATION ------------- The strategy displays on the chart: 1. START AND END LABELS - Red color for bearish trends - Green color for bullish trends - Gray color if the trend is not valid (too small) - Remain visible even when new trends form 2. START AND END LINES - Horizontal lines indicating the start (START) and end (END) points of the trend - White color by default, customizable from the settings panel - Update dynamically when the END point changes - Can be shown or hidden via the "Show Start/End Lines" option 3. FIBONACCI LINES The strategy shows horizontal lines at retracement levels: - Line at 50% (yellow by default) - Line at 25% (green by default) - Line at 60% (azure by default) - Line at 70% (red by default) COLOR CUSTOMIZATION: All line colors can be customized from the settings panel in the "LINE COLORS" section: - Start/End Line Color: customize the color of START and END lines - 50% Line Color: customize the color of the 50% line - 25% Line Color: customize the color of the 25% line - 60% Line Color: customize the color of the 60% line - 70% Line Color: customize the color of the 70% line Lines update dynamically when the END point changes and can be shown or hidden individually via options in the "VISUALIZATION" section. 4. PENDING ORDER LABELS Show pending order information: - Direction (LONG or SHORT) - Entry price - Stop Loss - Take Profit Positioned far from the chart to avoid cluttering the visualization. ALERTS ------ If enabled, alerts send notifications when: 1. PENDING ORDER CREATED When a new pending order is placed, with all information. 2. PENDING ORDER UPDATED When the pending order is updated (for example, if the level changes or if the END point moves). 3. ORDER OPENED When the pending order is executed (filled) and the position is opened. Alerts can be configured in TradingView to send notifications via email, SMS, or other platforms. RECOMMENDED SETTINGS -------------------- To get started, you can use these settings: VISUALIZATION: - Show all lines and labels to see how it works - Show Start/End Lines: true (to display lines at START and END points) - Customize line colors in the "LINE COLORS" section according to your preferences STRATEGY: - Pending Order Level: 50% (balanced) - Extended TP: 0% (use standard TP at 100%) FILTERS: - Minimum Trend: 0 pips (disabled initially) - Use EMA Filter: false (disabled initially) - Extended Trend: false (use normal logic) ALERTS: - Enable Alerts: true (if you want to receive notifications) PRACTICAL EXAMPLE ----------------- Scenario: Bearish Trend 1. Price forms 5 consecutive red candles 2. The strategy identifies: - START = 1.2000 (highest point) - END = 1.1900 (lowest point) - Range = 100 pips 3. Calculates Fibonacci levels (for retracements: START = 100%, END = 0%): - 100% = 1.2000 (START) - 70% = 1.1930 - 60% = 1.1940 - 50% = 1.1950 - 25% = 1.1975 - 0% = 1.1900 (END) 4. If you set "Pending Order Level" to 50%: - Places a SHORT pending order at 1.1950 (50% retracement) - Stop Loss at 1.2000 (START = 100%) - Take Profit at 1.1900 (END = 0%) 5. If price rises and touches 1.1950: - The order is executed - Opens a SHORT position - If price falls to 1.1900 → Take Profit (profit) - If price rises to 1.2000 → Stop Loss (loss) IMPORTANT NOTE -------------- This strategy is a technical analysis tool. Like all trading strategies, it does not guarantee profits. Trading involves risks and you can lose money. Always use appropriate risk management and test the strategy on historical data before using it with real money. LICENSE ------- This code is open source and available for modification. You are free to use, modify, and distribute this strategy. If you republish or share a modified version, please kindly mention the original author. ================================================================================
Strategia Pine Script®
od Burdiga84
14
HMA 9/50 Crossover + RSI 50 Filter1. The Core Indicators HMA 9 (Fast): Acts as the primary trigger line. Its unique calculation minimizes lag compared to standard moving averages, allowing for faster entries. HMA 50 (Slow): Defines the medium-term trend direction and acts as the "anchor" for crossover signals. RSI 14: Serves as a "momentum gate." Instead of traditional overbought/oversold levels, we use the 50 midline to confirm that the directional strength supports the crossover. 2. Entry Conditions Long Entry: Triggered when the HMA 9 crosses above the HMA 50 AND the RSI is greater than 50. Short Entry: Triggered when the HMA 9 crosses below the HMA 50 AND the RSI is less than 50. 3. Execution & Reversal This strategy is currently configured as an Always-in-the-Market system. A "Long" position is automatically closed when a "Short" signal is triggered. To prevent "pyramiding" (buying multiple positions in one direction), the script checks the current position_size before opening new entries. How to Use Timeframe: Optimized for 3-minute (3m) candles but can be tuned for 1m to 15m scalping. Settings: Use the Inputs panel to adjust HMA lengths based on the volatility of your specific asset (e.g., shorter for stable stocks, longer for volatile crypto). Visuals: Aqua Line: HMA 9 Orange Line: HMA 50 Green Background: Bullish RSI Momentum (> 50) Red Background: Bearish RSI Momentum (< 50) Risk Disclosure Whipsaws: This strategy is likely to underperform in sideways markets. Backtesting: Past performance does not guarantee future results. Always test this strategy in the Strategy Tester with appropriate commission and slippage settings before live use.
Strategia Pine Script®
od justincheong06
Multi-Mode Adaptive Strategy [MMAS]This Pine Script strategy dynamically adapts to different market conditions. Users can switch between trend‑following, mean‑reversion, and breakout modes, making it versatile across assets and timeframes. Key Metrics: - BTCUSDT / 1D → Return: +42.5%, Sharpe: 1.8, Max Drawdown: -12.3%, Win Rate: 61% - XAGUSD / 1H → Return: +18.7%, Sharpe: 1.4, Max Drawdown: -8.5%, Win Rate: 58% - EURUSD / 4H → Return: +25.2%, Sharpe: 1.6, Max Drawdown: -10.1%, Win Rate: 60% Key Features: - Modular design: switch between trend, mean‑reversion, breakout - Works across crypto, forex, commodities - Clear visualization with signals and metrics • Global Note "Universal strategy design for cross‑asset adaptability." • Tags trend, mean‑reversion, breakout, multi‑asset, adaptive strategy, pine script
Strategia Pine Script®
od GlobalStrategyLab
PA SystemPA System 短简介 Short Description（放在最上面） 中文： PA System 是一套以 AL Brooks 价格行为为核心的策略（Strategy），将 结构（HH/HL/LH/LL）→ 回调（H1/L1）→ 二次入场（H2/L2 微平台突破） 串成完整可回测流程，并可选叠加 BoS/CHoCH 结构突破过滤 与 Liquidity Sweep（扫流动性）确认。内置风险管理：定风险仓位、部分止盈、保本、移动止损、时间止损、冷却期。 English: PA System is an AL Brooks–inspired Price Action strategy that chains Market Structure (HH/HL/LH/LL) → Pullback (H1/L1) → Second Entry (H2/L2 via Micro Range Breakout) into a complete backtestable workflow, with optional BoS/CHoCH structure-break filtering and Liquidity Sweep confirmation. Built-in risk management includes risk-based sizing, partial exits, breakeven, trailing stops, time stop, and cooldown. ⸻ 1) 核心理念 Core Idea 中文： 这不是“指标堆叠”，而是一条清晰的价格行为决策链： 结构确认 → 回调出现 → 小平台突破（二次入场）→ 风控出场。 策略把 Brooks 常见的“二次入场”思路程序化，同时用可选的结构突破与扫流动性模块提升信号质量、减少震荡误入。 English: This is not an “indicator soup.” It’s a clear price-action decision chain: Confirmed structure → Pullback → Micro-range breakout (second entry) → Risk-managed exits. The system programmatically implements the Brooks-style “second entry” concept, and optionally adds structure-break and liquidity-sweep context to reduce chop and improve trade quality. ⸻ 2) 主要模块 Main Modules A. 结构识别 Market Structure (HH/HL/LH/LL) 中文： 使用 pivot 摆动点确认结构，标记 HH/HL/LH/LL，并可显示最近一组摆动水平线，方便对照结构位置。 English: Uses confirmed pivot swings to label HH/HL/LH/LL and optionally plots the most recent swing levels for clean structure context. B. 状态机 Market Regime (State Machine + “Always In”) 中文： 基于趋势K强度、EMA关系与波动范围，识别市场环境（Breakout/Channel/Range）以及 Always-In 方向，用于过滤不合适的交易环境。 English: A lightweight regime engine detects Breakout/Channel/Range and an “Always In” directional bias using momentum and EMA/range context to avoid low-quality conditions. C. 二次入场 Second Entry Engine (H1→H2 / L1→L2) 中文： • H1/L1：回调到结构附近并出现反转迹象 • H2/L2：在 H1/L1 后等待最小 bars，然后触发 Micro Range Breakout（小平台突破）并要求信号K收盘强度达标 这一段是策略的“主发动机”。 English: • H1/L1: Pullback into structure with reversal intent • H2/L2: After a minimum wait, triggers on Micro Range Breakout plus a configurable close-strength filter This is the main “entry engine.” D. 可选过滤器 Optional Filters (Quality Boost) BoS/CHoCH（结构突破过滤） 中文： 可识别 BoS / CHoCH，并可要求“入场前最近 N bars 必须有同向 break”。 English: Detects BoS/CHoCH and can require a recent same-direction break within N bars. Liquidity Sweeps（扫流动性确认） 中文： 画出 pivot 高/低的流动性水平线，检测“刺破后收回”的 sweep，并可要求入场前出现同向 sweep。 English: Tracks pivot-based liquidity levels, confirms sweeps (pierce-and-reclaim), and can require a recent sweep before entry. E. FVG 可视化 FVG Visualization 中文： 提供 FVG 区域盒子与管理模式（仅保留未回补 / 仅保留最近N），主要用于区域理解与复盘，不作为强制入场条件（可自行扩展）。 English: Displays FVG boxes with retention modes (unfilled-only or last-N). Primarily for context/analysis; not required for entries (you can extend it as a filter/target). ⸻ 3) 风险管理 Risk Management (Built-In) 中文： • 定风险仓位：按账户权益百分比计算仓位 • SL/TP：基于结构 + ATR 缓冲，且限制最大止损 ATR 倍 • 部分止盈：到达指定 R 后减仓 • 保本：到达指定 R 后推到 BE • 移动止损：到达指定 R 后开始跟随 • 时间止损：持仓太久不动则退出 • 冷却期：出场后等待 N bars 再允许新单 English: • Risk-based sizing: position size from equity risk % • SL/TP: structure + ATR buffer with max ATR risk cap • Partial exits at an R threshold • Breakeven at an R threshold • Trailing stop activation at an R threshold • Time stop to reduce chop damage • Cooldown after exit to avoid rapid re-entries ⸻ 4) 推荐使用方式 Recommended Usage 中文： • 推荐从 5m / 15m / 1H 开始测试 • 想更稳：开启 EMA Filter + Break Filter + Sweep Filter，并提高 Close Strength • 想更多信号：关闭 Break/Sweep 过滤或降低 Swing Length / Close Strength • 回测时务必设置合理的手续费与滑点，尤其是期货/指数 English: • Start testing on 5m / 15m / 1H • For higher quality: enable EMA Filter + Break Filter + Sweep Filter and increase Close Strength • For more signals: disable Break/Sweep filters or reduce Swing Length / Close Strength • Use realistic commissions/slippage in backtests (especially for futures/indices) ⸻ 5) 重要说明 Notes 中文： 结构 pivot 需要右侧确认 bars，因此结构点存在天然滞后（确认后不会再变）。策略逻辑尽量避免不必要的对象堆叠，并对数组/对象做了稳定管理，适合长期运行与复盘。 English: Pivot-based structure requires right-side confirmation (inherent lag; once confirmed it won’t change). The script is designed for stability and resource-safe object management, suitable for long sessions and review. ⸻ 免责声明 Disclaimer（建议原样保留） 中文： 本脚本仅用于教育与研究目的，不构成任何投资建议。策略回测结果受市场条件、手续费、滑点、交易时段、数据质量等影响显著。使用者需自行验证并承担全部风险。过往表现不代表未来结果。 English: This script is for educational and research purposes only and does not constitute financial advice. Backtest results are highly sensitive to market conditions, fees, slippage, session settings, and data quality. Use at your own risk. Past performance is not indicative of future results.
Strategia Pine Script®
od Yistle
1