立即開始

頻帶和通道

Range Filter Strategy [Real Backtest]Range Filter Strategy - Real Backtesting # Overview Advanced Range Filter strategy designed for realistic backtesting with precise execution timing and comprehensive risk management. Built specifically for cryptocurrency markets with customizable parameters for different assets and timeframes. Core Algorithm Range Filter Technology: - Smooth Average Range calculation using dual EMA filtering - Dynamic range-based price filtering to identify trend direction - Anti-noise filtering system to reduce false signals - Directional momentum tracking with upward/downward counters Key Features Real-Time Execution (No Delay) - Process orders on tick: Immediate execution without waiting for bar close - Bar magnifier integration for intrabar precision - Calculate on every tick for maximum responsiveness - Standard OHLC bypass for enhanced accuracy Realistic Price Simulation - HL2 entry pricing (High+Low)/2 for realistic fills - Configurable spread buffer simulation - Random slippage generation (0 to max slippage) - Market liquidity validation before entry Advanced Signal Filtering - Volume-based filtering with customizable ratio - Optional signal confirmation system (1-3 bars) - Anti-repetition logic to prevent duplicate signals - Daily trade limit controls Risk Management - Fixed Risk:Reward ratios with precise point calculation - Automatic stop loss and take profit execution - Position size management - Maximum daily trades limitation Alert System - Real-time alerts synchronized with strategy execution - Multiple alert types: Setup, Entry, Exit, Status - Customizable message formatting with price/time inclusion - TradingView alert panel integration Default Parameters Optimized for BTC 5-minute charts: - Sampling Period: 100 - Range Multiplier: 3.0 - Risk: 50 points - Reward: 100 points (1:2 R:R) - Spread Buffer: 2.0 points - Max Slippage: 1.0 points Signal Logic Long Entry Conditions: - Price above Range Filter line - Upward momentum confirmed - Volume requirements met (if enabled) - Confirmation period completed (if enabled) - Daily trade limit not exceeded Short Entry Conditions: - Price below Range Filter line - Downward momentum confirmed - Volume requirements met (if enabled) - Confirmation period completed (if enabled) - Daily trade limit not exceeded Visual Elements - Range Filter line with directional coloring - Upper and lower target bands - Entry signal markers - Risk/Reward ratio boxes - Real-time settings dashboard Customization Options Market Adaptation: - Adjust Sampling Period for different timeframes - Modify Range Multiplier for various volatility levels - Configure spread/slippage for different brokers - Set appropriate R:R ratios for trading style Filtering Controls: - Enable/disable volume filtering - Adjust confirmation requirements - Set daily trade limits - Customize alert preferences Performance Features - Realistic backtesting results aligned with live trading - Elimination of look-ahead bias - Proper order execution simulation - Comprehensive trade statistics Alert Configuration Alert Types Available: - Entry signals with complete trade information - Setup alerts for early preparation - Exit notifications for position management - Filter direction changes for market context Message Format: Symbol - Action | Price: XX.XX | Stop: XX.XX | Target: XX.XX | Time: HH:MM Usage Recommendations Optimal Settings: - Bitcoin/Major Crypto: Default parameters - Forex: Reduce sampling period to 50-70, multiplier to 2.0-2.5 - Stocks: Reduce sampling period to 30-50, multiplier to 1.0-1.8 - Gold: Sampling period 60-80, multiplier 1.5-2.0 TradingView Configuration: - Recalculate: "On every tick" - Orders: "Use bar magnifier" - Data: Real-time feed recommended Risk Disclaimer This strategy is designed for educational and analytical purposes. Past performance does not guarantee future results. Always test thoroughly on paper trading before live implementation. Consider market conditions, broker execution, and personal risk tolerance when using any automated trading system. Best Settings Found for Gold 15-Minute Timeframe After extensive testing and optimization, these are the most effective settings I've discovered for trading Gold (XAUUSD) on the 15-minute timeframe: Core Filter Settings: Sampling Period: 100 Range Multiplier: 3.0 Professional Execution Engine: Realistic Entry: Enabled (HL2) Spread Buffer: 2 points Dynamic Slippage: Enabled with max 1 point Volume Filter: Enabled at 1.7x ratio Signal Confirmation: Enabled with 1 bar confirmation Risk Management: Stop Loss: 50 points Take Profit: 100 points (2:1 Risk-Reward) Max Trades Per Day: 5 These settings provide an excellent balance between signal accuracy and realistic market execution. The volume filter at 1.7x ensures we only trade during periods of sufficient market activity, while the 1-bar confirmation helps filter out false signals. The spread buffer and slippage settings account for real trading costs, making backtest results more realistic and achievable in live trading.
Pine Script®策略
由mfsz2015提供
Range Filter Strategy [Arabic Real Backtest]استراتيجية مرشح النطاق - اختبار واقعي نظرة عامة استراتيجية مرشح النطاق المتقدمة مصممة للاختبار الواقعي مع توقيت تنفيذ دقيق وإدارة مخاطر شاملة. تم بناؤها خصيصًا لأسواق العملات الرقمية مع معلمات قابلة للتخصيص لأصول وفترات زمنية مختلفة. الخوارزمية الأساسية تقنية مرشح النطاق: * حساب متوسط النطاق السلس باستخدام فلترة مزدوجة للـ EMA * فلترة أسعار استنادًا إلى النطاق الديناميكي لتحديد اتجاه الاتجاه * نظام فلترة ضد الضوضاء لتقليل الإشارات الخاطئة * تتبع الزخم الاتجاهي مع عدادات للأعلى/للأسفل الميزات الرئيسية **التنفيذ الفوري (بدون تأخير)** * معالجة الأوامر عند كل نقطة: تنفيذ فوري دون انتظار إغلاق الشمعة * تكامل مكبر الشمعة للحصول على دقة داخل الشمعة * الحساب في كل نقطة لضمان الاستجابة القصوى * تجاوز OHLC القياسي لزيادة الدقة **محاكاة الأسعار الواقعية** * تسعير الدخول باستخدام HL2 (High+Low)/2 لملء واقعي * محاكاة للبُعد العازل للسعر القابل للتخصيص * إنشاء انزلاق عشوائي (من 0 إلى الحد الأقصى للانزلاق) * التحقق من سيولة السوق قبل الدخول **فلترة الإشارات المتقدمة** * فلترة استنادًا إلى الحجم مع نسبة قابلة للتخصيص * نظام تأكيد الإشارة اختياري (من 1 إلى 3 شموع) * منطق مضاد للتكرار لمنع الإشارات المكررة * التحكم في حد التداول اليومي **إدارة المخاطر** * نسب ثابتة للمخاطرة: العائد مع حساب دقيق للنقاط * تنفيذ وقف الخسارة وجني الأرباح تلقائيًا * إدارة حجم المركز * تحديد الحد الأقصى للصفقات اليومية **نظام التنبيهات** * تنبيهات فورية متزامنة مع تنفيذ الاستراتيجية * أنواع متعددة من التنبيهات: إعداد، دخول، خروج، حالة * تخصيص تنسيق الرسائل مع تضمين السعر/الوقت * تكامل مع لوحة تنبيهات TradingView المعلمات الافتراضية محسن لرسوم بيانية لفترة 5 دقائق لبيتكوين: * فترة العينة: 100 * معامل النطاق: 3.0 * المخاطرة: 50 نقطة * المكافأة: 100 نقطة (نسبة 1:2) * بُعد الانتشار: 2.0 نقطة * الحد الأقصى للانزلاق: 1.0 نقطة منطق الإشارة **شروط الدخول الطويل:** * السعر فوق خط مرشح النطاق * تأكيد الزخم الصاعد * تلبية متطلبات الحجم (إذا تم تمكينها) * اكتمال فترة التأكيد (إذا تم تمكينها) * لم يتم تجاوز حد الصفقات اليومية **شروط الدخول القصير:** * السعر تحت خط مرشح النطاق * تأكيد الزخم الهابط * تلبية متطلبات الحجم (إذا تم تمكينها) * اكتمال فترة التأكيد (إذا تم تمكينها) * لم يتم تجاوز حد الصفقات اليومية العناصر البصرية * خط مرشح النطاق مع تلوين الاتجاه * الأشرطة العليا والسفلى المستهدفة * علامات إشارات الدخول * صناديق نسبة المخاطرة/العائد * لوحة إعدادات حية خيارات التخصيص **التكيف مع السوق:** * تعديل فترة العينة لبيانات الزمن المختلفة * تعديل معامل النطاق لمستويات التقلب المختلفة * تكوين الانتشار/الانزلاق لوسطاء مختلفين * تحديد النسب المناسبة للمخاطرة/العائد حسب أسلوب التداول **ضوابط الفلترة:** * تمكين/تعطيل فلترة الحجم * تعديل متطلبات التأكيد * تعيين حدود الصفقات اليومية * تخصيص تفضيلات التنبيه الميزات المتعلقة بالأداء * نتائج اختبار واقعية متوافقة مع التداول المباشر * القضاء على تحيز المستقبل * محاكاة تنفيذ الأوامر بشكل صحيح * إحصائيات تداول شاملة تكوين التنبيه **أنواع التنبيهات المتاحة:** * إشارات الدخول مع معلومات التداول الكاملة * تنبيهات الإعداد للتحضير المبكر * إشعارات الخروج لإدارة المراكز * فلترة التغيرات في الاتجاه لظروف السوق **تنسيق الرسائل:** رمز - الإجراء | السعر: XX.XX | الوقف: XX.XX | الهدف: XX.XX | الوقت: HH\:MM التوصيات لاستخدام الاستراتيجية **الإعدادات المثلى:** * بيتكوين/العملات الرقمية الرئيسية: المعلمات الافتراضية * الفوركس: تقليل فترة العينة إلى 50-70، المعامل إلى 2.0-2.5 * الأسهم: تقليل فترة العينة إلى 30-50، المعامل إلى 1.0-1.8 * الذهب: فترة العينة 60-80، المعامل 1.5-2.0 **تكوين TradingView:** * إعادة الحساب: "على كل نقطة" * الأوامر: "استخدام مكبر الشمعة" * البيانات: يوصى باستخدام التغذية الحية إخلاء المسؤولية تم تصميم هذه الاستراتيجية لأغراض تعليمية وتحليلية. الأداء السابق لا يضمن النتائج المستقبلية. يجب دائمًا إجراء اختبارات شاملة على التداول الورقي قبل التنفيذ المباشر. يجب أخذ ظروف السوق، تنفيذ الوسيط، والتحمل الشخصي للمخاطر في الاعتبار عند استخدام أي نظام تداول آلي. Range Filter Strategy - Real Backtesting # Overview Advanced Range Filter strategy designed for realistic backtesting with precise execution timing and comprehensive risk management. Built specifically for cryptocurrency markets with customizable parameters for different assets and timeframes. Core Algorithm Range Filter Technology: - Smooth Average Range calculation using dual EMA filtering - Dynamic range-based price filtering to identify trend direction - Anti-noise filtering system to reduce false signals - Directional momentum tracking with upward/downward counters Key Features Real-Time Execution (No Delay) - Process orders on tick: Immediate execution without waiting for bar close - Bar magnifier integration for intrabar precision - Calculate on every tick for maximum responsiveness - Standard OHLC bypass for enhanced accuracy Realistic Price Simulation - HL2 entry pricing (High+Low)/2 for realistic fills - Configurable spread buffer simulation - Random slippage generation (0 to max slippage) - Market liquidity validation before entry Advanced Signal Filtering - Volume-based filtering with customizable ratio - Optional signal confirmation system (1-3 bars) - Anti-repetition logic to prevent duplicate signals - Daily trade limit controls Risk Management - Fixed Risk:Reward ratios with precise point calculation - Automatic stop loss and take profit execution - Position size management - Maximum daily trades limitation Alert System - Real-time alerts synchronized with strategy execution - Multiple alert types: Setup, Entry, Exit, Status - Customizable message formatting with price/time inclusion - TradingView alert panel integration Default Parameters Optimized for BTC 5-minute charts: - Sampling Period: 100 - Range Multiplier: 3.0 - Risk: 50 points - Reward: 100 points (1:2 R:R) - Spread Buffer: 2.0 points - Max Slippage: 1.0 points Signal Logic Long Entry Conditions: - Price above Range Filter line - Upward momentum confirmed - Volume requirements met (if enabled) - Confirmation period completed (if enabled) - Daily trade limit not exceeded Short Entry Conditions: - Price below Range Filter line - Downward momentum confirmed - Volume requirements met (if enabled) - Confirmation period completed (if enabled) - Daily trade limit not exceeded Visual Elements - Range Filter line with directional coloring - Upper and lower target bands - Entry signal markers - Risk/Reward ratio boxes - Real-time settings dashboard Customization Options Market Adaptation: - Adjust Sampling Period for different timeframes - Modify Range Multiplier for various volatility levels - Configure spread/slippage for different brokers - Set appropriate R:R ratios for trading style Filtering Controls: - Enable/disable volume filtering - Adjust confirmation requirements - Set daily trade limits - Customize alert preferences Performance Features - Realistic backtesting results aligned with live trading - Elimination of look-ahead bias - Proper order execution simulation - Comprehensive trade statistics Alert Configuration Alert Types Available: - Entry signals with complete trade information - Setup alerts for early preparation - Exit notifications for position management - Filter direction changes for market context Message Format: Symbol - Action | Price: XX.XX | Stop: XX.XX | Target: XX.XX | Time: HH:MM Usage Recommendations Optimal Settings: - Bitcoin/Major Crypto: Default parameters - Forex: Reduce sampling period to 50-70, multiplier to 2.0-2.5 - Stocks: Reduce sampling period to 30-50, multiplier to 1.0-1.8 - Gold: Sampling period 60-80, multiplier 1.5-2.0 TradingView Configuration: - Recalculate: "On every tick" - Orders: "Use bar magnifier" - Data: Real-time feed recommended Risk Disclaimer This strategy is designed for educational and analytical purposes. Past performance does not guarantee future results. Always test thoroughly on paper trading before live implementation. Consider market conditions, broker execution, and personal risk tolerance when using any automated trading system.
Pine Script®策略
由mfsz2015提供
Dubic EMA StrategyThe Dubic EMA Strategy is a trend-following and volatility-aware strategy that combines dual EMA filters with intelligent range and noise detection to provide clean, actionable entries. It's designed to avoid choppy markets, enhance trade precision, and adapt to different market conditions. ✅ Key Features: Dual EMA Filter: Enters long when price is above both EMA High & EMA Low, and short when below both. Range Filter: Avoids entries during tight consolidations or sideways markets. Volatility Filter: Prevents trading in low-ATR conditions. Dynamic Risk Management: ATR-based or fixed % Stop Loss and Take Profit. Optional Parabolic SAR trailing stop. One Trade per Trend: Prevents re-entry until trend direction changes. Unbroken Range Visualization: Detects and displays consolidation zones that can lead to breakouts. Alerts & Labels: Clean BUY/SELL signals with alerts and chart labels. 🧩 Customization Options: Adjustable EMA length Toggle between ATR or % based SL/TP Volatility threshold Range detection sensitivity Enable/disable SAR trailing stop This strategy works best on trending assets and timeframes with volatility (e.g., crypto, forex, indices). Suitable for both manual trading and automation. 🛠️ Built for clarity, control, and precision. 📈 Backtest, optimize, and deploy with confidence.
Pine Script®策略
由flydubic提供
4H Bollinger Breakout StrategyThis strategy leverages Bollinger Bands on the 4-hour timeframe for long and short trades in trending or ranging markets. Entries trigger on BB breakouts with optional filters for volume, trend, and RSI. Exits occur on opposite BB crosses. Customizable for long-only, short-only, or indicator mode via code comments. Supports forex, stocks, or crypto with full equity allocation and 0.1% commission. Length (Default: 20): Period for BB basis and std dev; shorter for sensitivity, longer for smoothing. Basis MA Type (Default: SMA): Selects MA for middle band (SMA, EMA, etc.); EMA for faster response. Source (Default: Close): Price input for calculations; use close for standard accuracy. StdDev Multiplier (Default: 1.8): Band width control; higher for fewer signals, lower for more. Offset (Default: 0): Shifts BB plots; typically unchanged. Use Filters (Default: True): Applies volume, trend, RSI checks to filter signals. Volume MA Length (Default: 20): For volume filter (long: >105% avg, short: >120%). Trend MA Length (Default: 80): SMA for trend filter (long: above MA, short: below). RSI Length (Default: 14): For short filter (entry if RSI <85). Use Long/Short Signals (Defaults: True): Toggles directions; long entry on lower BB crossover, short on upper crossunder. Visuals: BB plots (blue basis, red upper, green lower), orange trend MA, filled background. Labels/Alerts: Green/red for long entry/exit, yellow/purple for short; alert conditions included.
Pine Script®策略
由thetraderlodge提供
Combo 2/20 EMA & Bandpass Filter by TamarokDescription: This strategy combines a 2/20 exponential moving average (EMA) crossover with a custom bandpass filter to generate buy and sell signals. Use the Fast EMA and Slow EMA inputs to adjust trend sensitivity, and the Bandpass Filter Length, Delta, and Zones to fine-tune momentum turns. Signals occur when both EMA and BPF agree in direction, with optional reversal and time filters. How to use: 1. Add the script to your chart in TradingView. 2. Adjust the EMA and BP Filter parameters to match your asset’s volatility. 3. Enable ‘Reverse Signals’ to trade counter-trend, or use the time filter to limit sessions. 4. Set alerts on Long Alert and Short Alert for automated notifications. Inspiration: Based on HPotter’s original combo strategy (Stocks & Commodities Mar 2010). Updated to Pine Script v6 with streamlined code and alerts. WARNING: For purpose educate only
Pine Script®策略
由tamarok提供
Opening-Range BreakoutNote: Default trading date range looks mediocre. Set date range to "Entire History" to see full effect of the strategy. 50.91% profitable trades, 1.178 profit factor, steady profits and limited drawdown. Total P&L: $154,141.18, Max Drawdown: $18,624.36. High R^2 █ Overview The Opening-Range Breakout strategy is a mechanical, session‑based day‑trading system designed to capture the initial burst of directional momentum immediately following the market open. It defines a user‑configurable “opening range” window, measures its high and low boundaries, then places breakout stop orders at those levels once the range closes. Built‑in filters on minimum range width, reward‑to‑risk ratios, and optional reversal logic help refine entries and manage risk dynamically. █ How It Works Opening‑Range Formation Between 9:30–10:15 AM ET (configurable), the script tracks the highest high and lowest low to form the day’s opening range box. On the first bar after the range window closes, the range high (OR_high) and low (OR_low) are “locked in.” Range‑Width Filter To avoid false breakouts in low‑volatility mornings, the range must be at least X% of the current price (default 0.35%). If the measured opening-range width < minimum threshold, no orders are placed that day. Entry & Order Placement Long: a stop‑buy order at the opening‑range high. Short: a stop‑sell order at the opening‑range low. Only one side can trigger (or both if reverse logic is enabled after a losing trade). Risk Management Once triggered, each trade uses an ATR‑style stop-loss defined as a percentage retracement of the range (default 50% of range width). Profit target is set at a configurable Reward/Risk Ratio (default 1.1×). Optional: Reverse on Stop‑Loss – if the initial breakout loses, immediately reverse into the opposite side on the same day. Session Exit Any open positions are closed at the end of the regular trading day (default 3:45 PM ET window end, with hard flat at session close). Visual cues are provided via green (range high) and red (range low) step‑line plots directly on the chart, allowing you to see the range box and breakout triggers in real time. █ Why It Works Early Momentum Capture: The first 15 – 60 minutes of trading encapsulate overnight news digestion and institutional order flow, creating a well‑defined volatility “range.” Mechanical Discipline: Clear, rule‑based entries and exits remove emotional guesswork, ensuring consistency. Volatility Filtering: By requiring a minimum range width, the system avoids choppy, low‑range days where false breakouts are common. Dynamic Sizing: Stops and targets scale with the opening range, adapting automatically to each day’s volatility environment. █ How to Use Set Your Instruments & Timeframe -Apply to any futures contract on a 1‑ to 5‑minute chart. -Ensure chart timezone is set to America/New_York. Configure Inputs -Opening‑Range Window: e.g. “0930-1015” for a 45‑minute range. -Min. OR Width (%): e.g. 0.35 for 0.35% of current price. -Reward/Risk Ratio: e.g. 1.1 for a modest profit target above your stop. -Max OR Retracement %: e.g. 50 to set stop at 50% of range width. -One Trade Per Day: toggle to limit to a single breakout. -Reverse on Stop Loss: toggle to flip direction after a losing breakout. Monitor the Chart -Watch the green and red range boundaries form during the session open. -Orders will automatically submit on the first bar after the range window closes, conditioned on your filters. Review & Adjust -Backtest across multiple months to validate performance on your preferred contract. -Tweak range duration, minimum width, and R/R multiple to fit your risk tolerance and desired win‑rate vs. expectancy balance. █ Settings Reference Input Defaults Opening‑Range Window - Time window to form OR (HHMM-HHMM) - 0930–1015 Regular Trading Day - Full session for EOD flat (HHMM-HHMM) - 0930–1545 Min. OR Width (%) - Minimum OR size as % of close to trigger orders - 0.35 Reward/Risk Ratio - Profit target multiple of stop‑loss distance - 1.1 Max OR Retracement (%) - % of OR width to use as stop‑loss distance - 50 One Trade Per Day - Limit to a single breakout order per day - false Reverse on Stop Loss - Reverse direction immediately after a losing trade - true Disclaimer This strategy description and any accompanying code are provided for educational purposes only and do not constitute financial advice or a solicitation to trade. Futures trading involves substantial risk, including possible loss of capital. Past performance is not indicative of future results. Traders should assess their own risk tolerance and conduct thorough backtesting and forward-testing before committing real capital.
Pine Script®策略
由fabledforman提供
1
ALMA Optimized Strategy - Volatility Filter + UT BotThe strategy you provided is an ALMA Optimized Strategy implemented in Pine Script™ version 5 for TradingView. Here is a brief English summary of what it is and how it works: It is a trend-following strategy combining multiple technical indicators to optimize trade entries and exits. The core moving average used is the ALMA (Arnaud Legoux Moving Average), known for smoother and less lagging price smoothing compared to traditional EMAs or SMAs. The strategy also uses other indicators: Fast EMA (Exponential Moving Average) EMA 50 ATR (Average True Range) for volatility measurement and dynamic stop loss and take profit levels RSI (Relative Strength Index) for momentum with overbought/oversold levels ADX (Average Directional Index) for confirming trend strength Bollinger Bands as a volatility filter Buy signals trigger when volatility is sufficient (ATR filter), price is above EMA 50 and ALMA, RSI indicates bullish momentum, ADX confirms trend strength, price is below the upper Bollinger Band, and there is a cooldown period to prevent repeated buys within a short time. Sell signals are generated when price crosses below the fast EMA. The strategy manages position entries and exits dynamically, applying ATR-based stop loss and take profit levels, and optionally a time-based exit. Additionally, the script integrates the UT Bot, an ATR-based trailing stop and signal system, enhancing trade exit precision. Buy and sell signals are visually marked on the chart with colored triangles for easy identification. In essence, this strategy blends advanced smoothing (ALMA) with volatility filters and trend/momentum indicators to generate reliable buy and sell signals, while managing risk dynamically through ATR-based stops and profit targets. It aims to adapt to changing market conditions by filtering noise and confirming trends before entering trades.
Pine Script®策略
由blntduman提供
Setup: Smooth Gaussian + Adaptive Supertrend (Manual Vol)Overview This strategy combines two powerful trend-based tools originally developed by Algo Alpha: the Smooth Gaussian Trend (simulated) and the Adaptive Supertrend. The objective is to capture sustained bullish movements in periods of controlled volatility by filtering for high-probability entries. Entry Logic Long Entry Conditions: The closing price is above the Smooth Gaussian Trend line (with length = 75), and The volatility setting from the Adaptive Supertrend is manually defined as either 2 or 3 Exit Condition: The closing price falls below the Smooth Gaussian Trend line This script uses a simulated version of the Gaussian Trend line via double-smoothed SMA, as the original Algo Alpha indicator is protected and cannot be accessed directly in code. Features Plots entry and exit signals directly on the chart Manual toggle to enable or disable the volatility filter Lightweight design to allow flexible backtesting even without access to proprietary indicators Important Note This strategy does not connect to the actual Adaptive Supertrend from Algo Alpha. Users must manually input the volatility level based on what they observe on the chart when the original indicator is also applied. The Smooth Gaussian Trend is approximated and may differ slightly from the original. Suggested Use Recommended timeframes: 1H, 4H, or Daily Best used alongside the original indicators displayed on the chart Consider incorporating additional structure, momentum, or volume filters to enhance performance If you have suggestions or would like to contribute improvements, feel free to reach out or fork the script.
Pine Script®策略
由elthonsierra提供
Quantum Reversal# 🧠 Quantum Reversal ## **Quantitative Mean Reversion Framework** This algorithmic trading system employs **statistical mean reversion theory** combined with **adaptive volatility modeling** to capitalize on Bitcoin's inherent price oscillations around its statistical mean. The strategy integrates multiple technical indicators through a **multi-layered signal processing architecture**. --- ## ⚡ **Core Technical Architecture** ### 📊 **Statistical Foundation** - **Bollinger Band Mean Reversion Model**: Utilizes 20-period moving average with 2.2 standard deviation bands for volatility-adjusted entry signals - **Adaptive Volatility Threshold**: Dynamic standard deviation multiplier accounts for Bitcoin's heteroscedastic volatility patterns - **Price Action Confluence**: Entry triggered when price breaches lower volatility band, indicating statistical oversold conditions ### 🔬 **Momentum Analysis Layer** - **RSI Oscillator Integration**: 14-period Relative Strength Index with modified oversold threshold at 45 - **Signal Smoothing Algorithm**: 5-period simple moving average applied to RSI reduces noise and false signals - **Momentum Divergence Detection**: Captures mean reversion opportunities when momentum indicators show oversold readings ### ⚙️ **Entry Logic Architecture** ``` Entry Condition = (Price ≤ Lower_BB) OR (Smoothed_RSI < 45) ``` - **Dual-Condition Framework**: Either statistical price deviation OR momentum oversold condition triggers entry - **Boolean Logic Gate**: OR-based entry system increases signal frequency while maintaining statistical validity - **Position Sizing**: Fixed 10% equity allocation per trade for consistent risk exposure ### 🎯 **Exit Strategy Optimization** - **Profit-Lock Mechanism**: Positions only closed when showing positive unrealized P&L - **Trend Continuation Logic**: Allows winning trades to run until momentum exhaustion - **Dynamic Exit Timing**: No fixed profit targets - exits based on profitability state rather than arbitrary levels --- ## 📈 **Statistical Properties** ### **Risk Management Framework** - **Long-Only Exposure**: Eliminates short-squeeze risk inherent in cryptocurrency markets - **Mean Reversion Bias**: Exploits Bitcoin's tendency to revert to statistical mean after extreme moves - **Position Management**: Single position limit prevents over-leveraging ### **Signal Processing Characteristics** - **Noise Reduction**: SMA smoothing on RSI eliminates high-frequency oscillations - **Volatility Adaptation**: Bollinger Bands automatically adjust to changing market volatility - **Multi-Timeframe Coherence**: Indicators operate on consistent timeframe for signal alignment --- ## 🔧 **Parameter Configuration** | Technical Parameter | Value | Statistical Significance | |-------------------|-------|-------------------------| | Bollinger Period | 20 | Standard statistical lookback for volatility calculation | | Std Dev Multiplier | 2.2 | Optimized for Bitcoin's volatility distribution (95.4% confidence interval) | | RSI Period | 14 | Traditional momentum oscillator period | | RSI Threshold | 45 | Modified oversold level accounting for Bitcoin's momentum characteristics | | Smoothing Period | 5 | Noise reduction filter for momentum signals | --- ## 📊 **Algorithmic Advantages** ✅ **Statistical Edge**: Exploits documented mean reversion tendency in Bitcoin markets ✅ **Volatility Adaptation**: Dynamic bands adjust to changing market conditions ✅ **Signal Confluence**: Multiple indicator confirmation reduces false positives ✅ **Momentum Integration**: RSI smoothing improves signal quality and timing ✅ **Risk-Controlled Exposure**: Systematic position sizing and long-only bias --- ## 🔬 **Mathematical Foundation** The strategy leverages **Bollinger Band theory** (developed by John Bollinger) which assumes that prices tend to revert to the mean after extreme deviations. The RSI component adds **momentum confirmation** to the statistical price deviation signal. **Statistical Basis:** - Mean reversion follows the principle that extreme price deviations from the moving average are temporary - The 2.2 standard deviation multiplier captures approximately 97.2% of price movements under normal distribution - RSI momentum smoothing reduces noise inherent in oscillator calculations --- ## ⚠️ **Risk Considerations** This algorithm is designed for traders with understanding of **quantitative finance principles** and **cryptocurrency market dynamics**. The strategy assumes mean-reverting behavior which may not persist during trending market phases. Proper risk management and position sizing are essential. --- ## 🎯 **Implementation Notes** - **Market Regime Awareness**: Most effective in ranging/consolidating markets - **Volatility Sensitivity**: Performance may vary during extreme volatility events - **Backtesting Recommended**: Historical performance analysis advised before live implementation - **Capital Allocation**: 10% per trade sizing assumes diversified portfolio approach --- **Engineered for quantitative traders seeking systematic mean reversion exposure in Bitcoin markets through statistically-grounded technical analysis.**
Pine Script®策略
由ArganaBridgeCapital提供
7
TrendMaster Pro 2.3 with Alerts Hello friends, A member of the community approached me and asked me how to write an indicator that would achieve a particular set of goals involving comprehensive trend analysis, risk management, and session-based trading controls. Here is one example method of how to create such a system: Core Strategy Components Multi-Moving Average System - Uses configurable MA types (EMA, SMA, SMMA) with short-term (9) and long-term (21) periods for primary signal generation through crossovers Higher Timeframe Trend Filter - Optional trend confirmation using a separate MA (default 50-period) to ensure trades align with broader market direction Band Power Indicator - Dynamic high/low bands calculated using different MA types to identify price channels and volatility zones Advanced Signal Filtering Bollinger Bands Volatility Filter - Prevents trading during low-volatility ranging markets by requiring sufficient band width RSI Momentum Filter - Uses customizable thresholds (55 for longs, 45 for shorts) to confirm momentum direction MACD Trend Confirmation - Ensures MACD line position relative to signal line aligns with trade direction Stochastic Oscillator - Adds momentum confirmation with overbought/oversold levels ADX Strength Filter - Only allows trades when trend strength exceeds 25 threshold Session-Based Trading Management Four Trading Sessions - Asia (18:00-00:00), London (00:00-08:00), NY AM (08:00-13:00), NY PM (13:00-18:00) Individual Session Limits - Separate maximum trade counts for each session (default 5 per session) Automatic Session Closure - All positions close at specified market close time Risk Management Features Multiple Stop Loss Options - Percentage-based, MA cross, or band-based SL methods Risk/Reward Ratio - Configurable TP levels based on SL distance (default 1:2) Auto-Risk Calculation - Dynamic position sizing based on dollar risk limits ($150-$250 range) Daily Limits - Stop trading after reaching specified TP or SL counts per day Support & Resistance System Multiple Pivot Types - Traditional, Fibonacci, Woodie, Classic, DM, and Camarilla calculations Flexible Timeframes - Auto-adjusting or manual timeframe selection for S/R levels Historical Levels - Configurable number of past S/R levels to display Visual Customization - Individual color and display settings for each S/R level Additional Features Alert System - Customizable buy/sell alert messages with once-per-bar frequency Visual Trade Management - Color-coded entry, SL, and TP levels with fill areas Session Highlighting - Optional background colors for different trading sessions Comprehensive Filtering - All signals must pass through multiple confirmation layers before execution This approach demonstrates how to build a professional-grade trading system that combines multiple technical analysis methods with robust risk management and session-based controls, suitable for algorithmic trading across different market sessions. Good luck and stay safe!
Pine Script®策略
由everget提供
21
QQQ Strategy v2 ESL | easy-peasy-x This is a strategy optimized for QQQ (and SPY) for the 1H timeframe. It significantly outperforms passive buy-and-hold approach. With settings adjustments, it can be used on various assets like stocks and cryptos and various timeframes, although the default out of the box settings favor QQQ 1H. The strategy uses various triggers to take both long and short trades. These can be adjusted in settings. If you try a different asset, see what combination of triggers works best for you. Some of the triggers employ LuxAlgo's Ultimate RSI - shoutout to him for great script, check it out here . Other triggers are based on custom signed standard deviation - basically the idea is to trade Bollinger Bands expansions (long to the upside, short to the downside) and fade or stay out of contractions. There are three key moving averages in the strategy - LONG MA, SHORT MA, BASIC MA. Long and Short MAs are guides to eyes on the chart and also act as possible trend filters (adjustable in settings). Basic MA acts as guide to eye and a possible trade trigger (adjustable in settings). There are a few trend filters the strategy can use - moving average, signed standard deviation, ultimate RSI or none. The filters act as an additional condition on triggers, making the strategy take trades only if both triggers and trend filter allows. That way one can filter out trades with unfavorable risk/reward (for instance, don't long if price is under the MA200). Different trade filters can be used for long and short trades. The strategy employs various stop loss types, the default of which is a trailing %-based stop loss type. ATR-based stop loss is also available. The default 1.5% trailing stop loss is suitable for leveraged trading. Lastly, the strategy can trigger take profit orders if certain conditions are met, adjustable in settings. Also, it can hold onto winning trades and exit only after stop out (in which case, consecutive triggers to take other positions will be ignored until stop out). Let me know if you like it and if you use it, what kind of tweaks would you like to see. With kind regards, easy-peasy-x
Pine Script®策略
由easy-peasy-x提供
SOXL Trend Surge v3.0.2 – Profit-Only RunnerSOXL Trend Surge v3.0.2 – Profit-Only Runner This is a trend-following strategy built for leveraged ETFs like SOXL, designed to ride high-momentum waves with minimal interference. Unlike most short-term scalping scripts, this model allows trades to develop over multiple days to even several months, capitalizing on the full power of extended directional moves — all without using a stop-loss. 🔍 How It Works Entry Logic: Price is above the 200 EMA (long-term trend confirmation) Supertrend is bullish (momentum confirmation) ATR is rising (volatility expansion) Volume is above its 20-bar average (liquidity filter) Price is outside a small buffer zone from the 200 EMA (to avoid whipsaws) Trades are restricted to market hours only (9 AM to 2 PM EST) Cooldown of 15 bars after each exit to prevent overtrading Exit Strategy: Takes partial profit at +2× ATR if held for at least 2 bars Rides the remaining position with a trailing stop at 1.5× ATR No hard stop-loss — giving space for volatile pullbacks ⚙️ Strategy Settings Initial Capital: $500 Risk per Trade: 100% of equity (fully allocated per entry) Commission: 0.1% Slippage: 1 tick Recalculate after order is filled Fill orders on bar close Timeframe Optimized For: 45-minute chart These parameters simulate an aggressive, high-volatility trading model meant for forward-testing compounding potential under realistic trading costs. ✅ What Makes This Unique No stop-loss = fewer premature exits Partial profit-taking helps lock in early wins Trailing logic gives room to ride large multi-week moves Uses strict filters (volume, ATR, EMA bias) to enter only during high-probability windows Ideal for leveraged ETF swing or position traders looking to hold longer than the typical intraday or 2–3 day strategies ⚠️ Important Note This is a high-risk, high-reward strategy meant for educational and testing purposes. Without a stop-loss, trades can experience deep drawdowns that may take weeks or even months to recover. Always test thoroughly and adjust position sizing to suit your risk tolerance. Past results do not guarantee future returns. Backtest range: May 8, 2020 – May 23, 2025
Pine Script®策略
由MrStockaton提供
Range Filter Strategy with ATR TP/SLHow This Strategy Works: Range Filter: Calculates a smoothed average (SMA) of price Creates upper and lower bands based on standard deviation When price crosses above upper band, it signals a potential uptrend When price crosses below lower band, it signals a potential downtrend ATR-Based Risk Management: Uses Average True Range (ATR) to set dynamic take profit and stop loss levels Take profit is set at entry price + (ATR × multiplier) for long positions Stop loss is set at entry price - (ATR × multiplier) for long positions The opposite applies for short positions Input Parameters: Adjustable range filter length and multiplier Customizable ATR length and TP/SL multipliers All parameters can be optimized in TradingView's strategy tester You can adjust the input parameters to fit your trading style and the specific market you're trading. The ATR-based exits help adapt to current market volatility.
Pine Script®策略
由TOLLBOOTH提供
1
Big Mover Catcher BTC 4h🧠 Big Mover Catcher (BTC 4H Strategy) — Educational Tool ⚠️ Disclaimer: I am not a financial advisor. This script is for educational and testing purposes only. Cryptocurrency trading is highly volatile and involves significant risk. You can lose all of your invested capital. 📌 Overview The Big Mover Catcher strategy is a work-in-progress trading system designed for Bitcoin (BTC) on the 4-hour chart. It aims to identify strong breakout moves by combining multiple technical indicators and conditions, allowing for high customization and filter-based confirmations. This script is part of a personal project to learn Pine Script and backtesting on TradingView. It is currently in the testing and research phase. 🎯 Strategy Objective Catch large, high-momentum breakout moves in the BTC market using: Bollinger Band breakouts for entry signals Momentum, volatility, and trend filters for trade confirmation 🧰 Features & Filters The script provides a flexible set of filters that can be turned ON/OFF and adjusted directly from the settings panel: ✅ Entry Conditions Price must break above or below Bollinger Bands All selected filters must align before entry 🧪 Available Filters: Relative Strength Index (RSI) with EMA/SMA smoothing Average Directional Index (ADX) with EMA/SMA smoothing Average True Range (ATR) with EMA/SMA smoothing MACD Signal above or below zero EMA 350 trend filter ATR / ADX / RSI Threshold toggles for added control 🔥 Additional Feature: Force Take Profit: Optionally closes the trade immediately if a candle closes with more than a defined % movement (default: 5%). This can help lock in quick profits during high volatility moves. ⚙️ Customizable Inputs You can configure: Stop loss percentage All indicator lengths Smoothing types (EMA/SMA) Threshold activation toggles Individual filter ON/OFF switches This makes the strategy highly adaptable for educational exploration and optimization. 📊 Best Used For Learning Pine Script and strategy structure Testing filter combinations for BTC on the 4H timeframe Understanding how different indicators interact in live markets ⚠️ Note: ❌ Short trades are currently disabled by default, as short-side logic is still under development. ❗ Final Reminder This script is not financial advice. It is an educational tool. Use it to learn and explore trading logic. Trading cryptocurrencies carries high risk — only invest what you can afford to lose.
Pine Script®策略
由noobztrader101提供
Ichimoku Cloud Breakout Only LongThis is a very simple trading strategy based exclusively on the Ichimoku Cloud. There are no additional indicators or complex rules involved. The key condition is that we only open long positions when the price is clearly above the cloud — indicating a bullish trend. For optimal results, the recommended timeframes are 1D (daily) or 1W (weekly) charts. These higher timeframes help filter out market noise and provide more reliable trend signals. We do not short the market under any circumstances. The focus is purely on riding upward momentum when the price breaks out or stays above the cloud. This strategy works best when applied to growth stocks with strong upward trends and good fundamentals — such as Google (GOOGL), Tesla (TSLA), Apple (AAPL), or NVIDIA (NVDA).
Pine Script®策略
由wilusss提供
Gold Breakout Strategy - RR 4Strategy Name: Gold Breakout Strategy - RR 4 🧠 Main Objective This strategy aims to capitalize on breakouts from the Donchian Channel on Gold (XAU/USD) by filtering trades with: Volume confirmation, A custom momentum indicator (LWTI - Linear Weighted Trend Index), And a specific trading session (8 PM to 8 AM Quebec time — GMT-5). It takes only one trade per day, either a buy or a sell, using a fixed stop-loss at the wick of the breakout candle and a 4:1 reward-to-risk (RR) ratio. 📊 Indicators Used Donchian Channel Length: 96 Detects breakouts of recent highs or lows. Volume Simple Moving Average (SMA) over 30 bars. A breakout is only valid if the current volume is above the SMA. LWTI (Linear Weighted Trend Index) Measures momentum using price differences over 25 bars, smoothed over 5. Used to confirm trend direction: Buy when LWTI > its smoothed version (uptrend). Sell when LWTI < its smoothed version (downtrend). ⏰ Time Filter The strategy only allows entries between 8 PM and 8 AM (GMT-5 / Quebec time). A timestamp-based filter ensures the system recognizes the correct trading session even across midnight. 📌 Entry Conditions 🟢 Buy (Long) Price breaks above the previous Donchian Channel high. The current channel high is higher than the previous one. Volume is above its moving average. LWTI confirms an uptrend. The time is within the trading session (20:00 to 08:00). No trade has been taken yet today. 🔴 Sell (Short) Price breaks below the previous Donchian Channel low. The current channel low is lower than the previous one. Volume is above its moving average. LWTI confirms a downtrend. The time is within the trading session. No trade has been taken yet today. 💸 Trade Management Stop-Loss (SL): For long entries: placed below the wick low of the breakout candle. For short entries: placed above the wick high of the breakout candle. Take-Profit (TP): Set at a fixed 4:1 reward-to-risk ratio. Calculated as 4x the distance between the entry price and stop-loss. No trailing stop, no break-even, no scaling in/out. 🎨 Visuals Green triangle appears below the candle on a buy signal. Red triangle appears above the candle on a sell signal. Donchian Channel lines are plotted on the chart. The strategy is designed for the 5-minute timeframe. 🔄 One Trade Per Day Rule Once a trade is taken (buy or sell), no more trades will be executed for the rest of the day. This prevents overtrading and limits exposure.
Pine Script®策略
由beaucheminbrandon123提供
Smart Fib StrategySmart Fibonacci Strategy This advanced trading strategy combines the power of adaptive SMA entries with Fibonacci-based exit levels to create a comprehensive trend-following system that self-optimizes based on historical market conditions. Credit goes to Julien_Eche who created the "Best SMA Finder" which received an Editors Pick award. Strategy Overview The Smart Fibonacci Strategy employs a two-pronged approach to trading: 1. Intelligent Entries: Uses a self-optimizing SMA (Simple Moving Average) to identify optimal entry points. The system automatically tests multiple SMA lengths against historical data to determine which period provides the most robust trading signals. 2. Fibonacci-Based Exits: Implements ATR-adjusted Fibonacci bands to establish precise exit targets, with risk-management options ranging from conservative to aggressive. This dual methodology creates a balanced system that adapts to changing market conditions while providing clear visual reference points for trade management. Key Features - **Self-Optimizing Entries**: Automatically calculates the most profitable SMA length based on historical performance - **Adjustable Risk Parameters**: Choose between low-risk and high-risk exit targets - **Directional Flexibility**: Trade long-only, short-only, or both directions - **Visualization Tools**: Customizable display of entry lines and exit bands - **Performance Statistics**: Comprehensive stats table showing key metrics - **Smoothing Option**: Reduces noise in the Fibonacci bands for cleaner signals Trading Rules Entry Signals - **Long Entry**: When price crosses above the blue center line (optimal SMA) - **Short Entry**: When price crosses below the blue center line (optimal SMA) ### Exit Levels - **Low Risk Option**: Exit at the first Fibonacci band (1.618 * ATR) - **High Risk Option**: Exit at the second Fibonacci band (2.618 * ATR) Strategy Parameters Display Settings - Toggle visibility of the stats table and indicator components Strategy Settings - Select trading direction (long, short, or both) - Choose exit method (low risk or high risk) - Set minimum trades threshold for SMA optimization SMA Settings - Option to use auto-optimized or fixed-length SMA - Customize SMA length when using fixed option Fibonacci Settings - Adjust ATR period and SMA basis for Fibonacci bands - Enable/disable smoothing function - Customize Fibonacci ratio multipliers Appearance Settings - Modify colors, line widths, and transparency Optimization Methodology The strategy employs a sophisticated optimization algorithm that: 1. Tests multiple SMA lengths against historical data 2. Evaluates performance based on trade count, profit factor, and win rate 3. Calculates a "robustness score" that balances profitability with statistical significance 4. Selects the SMA length with the highest robustness score This ensures that the strategy's entry signals are continuously adapting to the most effective parameters for current market conditions. Risk Management Position sizing is fixed at $2,000 per trade, allowing for consistent exposure across all trading setups. The Fibonacci-based exit system provides two distinct risk management approaches: - **Conservative Approach**: Using the first Fibonacci band for exits produces more frequent but smaller wins - **Aggressive Approach**: Using the second Fibonacci band allows for larger potential gains at the cost of increased volatility Ideal Usage This strategy is best suited for: - Trending markets with clear directional moves - Timeframes from 4H to Daily for most balanced results - Instruments with moderate volatility (stocks, forex, commodities) Traders can further enhance performance by combining this strategy with broader market analysis to confirm the prevailing trend direction.
Pine Script®策略
由ShadowTraderBali提供
1
Reverse Keltner Channel StrategyReverse Keltner Channel Strategy Overview The Reverse Keltner Channel Strategy is a mean-reversion trading system that capitalizes on price movements between Keltner Channels. Unlike traditional Keltner Channel strategies that trade breakouts, this system takes the contrarian approach by entering positions when price returns to the channel after overextending. Strategy Logic Long Entry Conditions: Price crosses above the lower Keltner Channel from below This signals a potential reversal after an oversold condition Position is entered at market price upon signal confirmation Long Exit Conditions: Take Profit: Price reaches the upper Keltner Channel Stop Loss: Placed at half the channel width below entry price Short Entry Conditions: Price crosses below the upper Keltner Channel from above This signals a potential reversal after an overbought condition Position is entered at market price upon signal confirmation Short Exit Conditions: Take Profit: Price reaches the lower Keltner Channel Stop Loss: Placed at half the channel width above entry price Key Features Mean Reversion Approach: Takes advantage of price tendency to return to mean after extreme moves Adaptive Stop Loss: Stop loss dynamically adjusts based on market volatility via ATR Visual Signals: Entry points clearly marked with directional triangles Fully Customizable: All parameters can be adjusted to fit various market conditions Customizable Parameters Keltner EMA Length: Controls the responsiveness of the channel (default: 20) ATR Multiplier: Determines channel width/sensitivity (default: 2.0) ATR Length: Affects volatility calculation period (default: 10) Stop Loss Factor: Adjusts risk management aggressiveness (default: 0.5) Best Used On This strategy performs well on: Currency pairs with defined ranging behavior Commodities that show cyclical price movements Higher timeframes (4H, Daily) for more reliable signals Markets with moderate volatility Risk Management The built-in stop loss mechanism automatically adjusts to market conditions by calculating position risk relative to the current channel width. This approach ensures that risk remains proportional to potential reward across varying market conditions. Notes for Optimization Consider adjusting the EMA length and ATR multiplier based on the specific asset and timeframe: Lower values increase sensitivity and generate more signals Higher values produce fewer but potentially more reliable signals As with any trading strategy, thorough backtesting is recommended before live implementation. Past performance is not indicative of future results. Always practice sound risk management.
Pine Script®策略
由fenyesk提供
External Signals Strategy Tester v5External Signals Strategy Tester v5 – User Guide (English) 1. Purpose This Pine Script strategy is a universal back‑tester that lets you plug in any external buy/sell series (for example, another indicator, webhook feed, or higher‑time‑frame condition) and evaluate a rich set of money‑management rules around it – with a single click on/off workflow for every module. 2. Core Workflow Feed signals Buy Signal / Sell Signal inputs accept any series (price, boolean, output of request.security(), etc.). A crossover above 0 is treated as “signal fired”. Date filter Start Date / End Date restricts the test window so you can exclude unwanted history. Trade engine Optional Long / Short enable toggles. Choose whether opposite signals simply close the trade or reverse it (flip direction in one transaction). Risk modules – all opt‑in via check‑boxes Classic % block – fixed % Take‑Profit / Stop‑Loss / Break‑Even. Fibonacci Bollinger Bands (FBB) module Draws dynamic VWMA/HMA/SMA/EMA/DEMA/TEMA mid‑line with ATR‑scaled Fibonacci envelopes. Every line can be used for stops, trailing, or multi‑target exits. Separate LONG and SHORT sub‑modules Each has its own SL plus three Take‑Profits (TP1‑TP3). Per TP you set line, position‑percentage to close, and an optional trailing flag. Executed TP/SLs deactivate themselves so they cannot refire. Trailing behaviour If Trail is checked, the selected line is re‑evaluated once per bar; the order is amended via strategy.exit(). 3. Inputs Overview Group Parameter Notes Trade Settings Enable Long / Enable Short Master switches Close on Opposite / Reverse Position How to react to a counter‑signal Risk % Use TP / SL / BE + their % Traditional fixed‑distance management Fibo Bands FIBO LEVELS ENABLE + visual style/length Turn indicator overlay on/off FBB LONG SL / TP1‑TP3 Enable, Line, %, Trail Rules applied only while a long is open FBB SHORT SL / TP1‑TP3 Enable, Line, %, Trail Rules applied only while a short is open Line choices: Basis, 0.236, 0.382, 0.5, 0.618, 0.764, 1.0 – long rules use lower bands, short rules use upper bands automatically. 4. Algorithm Details Position open On the very first bar after entry, the script checks the direction and activates the corresponding LONG or SHORT module, deactivating the other. Order management loop (every bar) FBB Stop‑Loss: placed/updated at chosen band; if trailing, follows the new value. TP1‑TP3: each active target updates its limit price to the selected band (or holds static if trailing is off). The classic % block runs in parallel; its exits have priority because they call strategy.close_all(). Exit handling When any strategy.exit() fires, the script reads exit_id and flips the *_Active flag so that order will not be recreated. A Stop‑Loss (SL) also disables all remaining TPs for that leg. 5. Typical Use Cases Scenario Suggested Setup Scalping longs into VWAP‐reversion Enable LONG TP1 @ 0.382 (30 %), TP2 @ 0.618 (40 %), SL @ 0.236 + trailing Fade shorts during news spikes Enable SHORT SL @ 1.0 (no trail) and SHORT TP1,2,3 on consecutive lowers with small size‑outs Classic trend‑follow Use only classic % TP/SL block and disable FBB modules 6. Hints & Tips Signal quality matters – this script manages exits, it does not generate entries. Keep TV time zone in mind when picking start/end dates. For portfolio‑style testing allocate smaller default_qty_value than 100 % or use strategy.percent_of_equity sizing. You can combine FBB exits with fixed‑% ones for layered management. 7. Limitations / Safety No pyramiding; the script holds max one position at a time. All calculations are bar‑close; intra‑bar touches may differ from real‑time execution. The indicator overlay is optional, so you can run visual‑clean tests by unchecking FIBO LEVELS ENABLE.
Pine Script®策略
由RezzoRedPriest提供