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Zero Lag Trend Strategy (MTF) [AlgoAlpha]# Zero Lag Trend Strategy (MTF) - Complete Guide ## Overview The Zero Lag Trend Strategy is a sophisticated trading system that combines zero-lag exponential moving averages with volatility bands and EMA-based entry/exit filtering. This strategy is designed to capture trending movements while minimizing false signals through multiple confirmation layers. ## Core Components ### 1. Zero Lag EMA (ZLEMA) - **Purpose**: Primary trend identification with reduced lag - **Calculation**: Uses a modified EMA that compensates for inherent lag by incorporating price momentum - **Formula**: `EMA(price + (price - price ), length)` where lag = (length-1)/2 - **Default Length**: 70 periods (adjustable) ### 2. Volatility Bands - **Purpose**: Define trend strength and entry/exit zones - **Calculation**: Based on ATR (Average True Range) multiplied by a user-defined multiplier - **Upper Band**: ZLEMA + (ATR * multiplier) - **Lower Band**: ZLEMA - (ATR * multiplier) - **Default Multiplier**: 1.2 (adjustable) ### 3. EMA Filter/Exit System - **Purpose**: Entry filtering and exit signal generation - **Default Length**: 9 periods (fully customizable) - **Color**: Blue line on chart - **Function**: Prevents counter-trend entries and provides clean exit signals ## Entry Logic ### Long Entry Conditions 1. **Primary Signal**: Price crosses above the upper volatility band (strong bullish momentum) 2. **Additional Entries**: Price crosses above ZLEMA while already in an uptrend (if enabled) 3. **EMA Filter**: Price must be above the EMA filter line 4. **Confirmation**: All conditions must align simultaneously ### Short Entry Conditions 1. **Primary Signal**: Price crosses below the lower volatility band (strong bearish momentum) 2. **Additional Entries**: Price crosses below ZLEMA while already in a downtrend (if enabled) 3. **EMA Filter**: Price must be below the EMA filter line 4. **Confirmation**: All conditions must align simultaneously ## Exit Logic **Simple and Clean**: Positions are closed when price crosses the EMA filter line in the opposite direction: - **Long Exit**: Price crosses below the EMA filter - **Short Exit**: Price crosses above the EMA filter ## Multi-Timeframe Analysis The strategy includes a real-time table showing trend direction across 5 different timeframes: - Default timeframes: 5m, 15m, 1h, 4h, 1D (all customizable) - Color-coded signals: Green for bullish, Red for bearish - Helps confirm overall market direction before taking trades ## Key Parameters ### Main Calculations - **Length (70)**: Zero-lag EMA calculation period - **Band Multiplier (1.2)**: Controls volatility band width ### Strategy Settings - **Enable Additional Trend Entries**: Allow multiple entries during strong trends - **EMA Exit Length (9)**: Period for the entry filter and exit EMA ### Timeframes - **5 customizable timeframes** for multi-timeframe trend analysis ### Appearance - **Bullish Color**: Default green (#00ffbb) - **Bearish Color**: Default red (#ff1100) ## Visual Elements ### Chart Display - **ZLEMA Line**: Color-coded trend line (green/red based on trend direction) - **Volatility Bands**: Dynamic upper/lower bands that appear based on trend - **EMA Filter**: Blue line for entry filtering and exits - **Entry Signals**: - Large arrows (▲▼) for primary trend signals - Small arrows for additional trend entries - Tiny letters (L/S) for actual strategy entries ### Information Table - **Position**: Top-right corner - **Content**: Real-time trend status across all configured timeframes - **Updates**: Continuously updated with current market conditions ## Strategy Advantages ### Trend Following Excellence - Captures strong trending moves with reduced whipsaws - Multiple confirmation layers prevent false entries - Dynamic bands adapt to market volatility ### Risk Management - Clear, objective exit rules - EMA filter prevents counter-trend trades - Multi-timeframe confirmation reduces bad trades ### Flexibility - Fully customizable parameters - Works across different timeframes and instruments - Optional additional trend entries for maximum profit potential ### Visual Clarity - Clean, professional chart display - Easy-to-read signals and trends - Comprehensive multi-timeframe overview ## Best Practices ### Parameter Optimization - **Length**: Higher values (50-100) for longer-term trends, lower values (20-50) for shorter-term - **Band Multiplier**: Higher values (1.5-2.0) reduce signals but increase quality - **EMA Length**: Shorter periods (5-13) for quick exits, longer periods (20-50) for trend riding ### Market Conditions - **Trending Markets**: Enable additional trend entries for maximum profit - **Choppy Markets**: Use higher band multiplier and longer EMA for fewer, higher-quality signals - **Different Timeframes**: Adjust all parameters proportionally when changing chart timeframes ### Multi-Timeframe Usage - Align trades with higher timeframe trends - Use lower timeframes for precise entry timing - Avoid trades when timeframes show conflicting signals ## Risk Considerations - Like all trend-following strategies, may struggle in ranging/choppy markets - EMA exit system prioritizes trend continuation over quick profit-taking - Multiple timeframe analysis requires careful interpretation - Backtesting recommended before live trading with any parameter changes ## Conclusion The Zero Lag Trend Strategy provides a comprehensive approach to trend trading with built-in risk management and multi-timeframe analysis. Its combination of advanced technical indicators, clear entry/exit rules, and customizable parameters makes it suitable for both novice and experienced traders seeking to capture trending market movements.
Pine Script®策略
由M4ndoo提供
DB - Range Filter heikenashi Strategy DB - Range Filter Heikenashi Strategy Smart Filtering Meets Heiken-Ashi Precision for Adaptive Trend Breakouts This is not your average range filter strategy. Built from the ground up with adaptive signal logic and hybrid candle interpretation, this script merges range-based volatility filtering with Heiken-Ashi smoothing to isolate meaningful breakouts—while filtering out noise with surgical precision. 🔍 Key Innovations: • Dynamic Range Filtering Engine: Combines smoothed average range with directional bias to create high-confidence entries. • Candle Type Toggle: Choose between standard candles or Heiken-Ashi to shape your signals to your trading style. • Dual-Layer Trend Confirmation: Upward and downward movement counters ensure trend commitment before triggering entries. • Time-Filtered Backtesting: Easily isolate strategy performance within precise historical windows. • Optional Smart Stops: Add stop loss & take profit rules without changing the core logic—perfect for risk-managed deployment. 📈 Visual & Practical Features: • Multi-color bar analysis to identify strength, weakness, and transition zones. • Upper and lower dynamic bands for visualizing profit targets and range boundaries. • Buy/Sell signal labels with direction-aware logic to avoid choppy conditions. • Ideal for high-volatility assets (e.g., BTC) on short timeframes, but fully tunable for any market. Built for traders who value clarity over chaos, this strategy aims to reduce false signals and offer a cleaner execution framework for trend followers and breakout scalpers alike. > Make volatility your ally, not your enemy.
Pine Script®策略
由DefiBanked提供
1
ETH Compounder [crankyprofits]Overview ETH Compounder is a 15-minute trading strategy built for Ethereum (ETH/USD), combining trend confirmation, momentum shifts, and structured risk management. This strategy is designed to catch trend breakouts with high conviction and compound profits using multiple take-profit levels. Core Strategy Logic Trend Direction: Uses Hull Moving Average to determine market bias. Breakout Entry: Enters on price breakout above/below a Keltner Channel. Momentum Trigger: Combines MACD and STC-style momentum to validate entry points. Heikin Ashi Candles: Used internally to smooth price action for cleaner signals. No Pyramiding: Only one trade at a time to avoid stacking entries during choppy markets. Profit-Taking System The strategy features a tiered take-profit system: TP1: ~2% gain (100% in free version) TP2–TP4: Additional tiers reserved for premium builds This approach allows partial exits to lock in gains while letting remaining position ride the trend. Risk Management Default stop loss: ~4.75% from entry Trailing stop based on Keltner channel and trend strength Alerts included for Buy, Sell, and Close signals Best Use Case This script is optimized for ETH/USD on 15m timeframes. Tuned for Binance out of the box. Ideal for traders who want a semi-passive, momentum-based system that avoids constant screen-watching. Alerts Custom alerts are available for: Buy Entry Sell Entry Exit Signal (TP or SL) TP1–TP4 (for granular control) Disclaimer This script is for educational purposes only and does not constitute financial advice. Always backtest and use proper risk management before live trading. Want to unlock premium features & get alerts? Join our Discord: discord.gg
Pine Script®策略
由crankyprofits提供
PRO Trading Averaging Beta(v1)Adaptive Position Scaling Automatically increases position size during pullbacks using exponential volume scaling (1x, 2x, 4x, etc.). This reduces average entry cost and accelerates breakeven when price reverses. Multi-Timeframe Confirmation All indicators operate on a higher timeframe (120 minutes), providing: Noise-filtered signals Stronger trend alignment Reduced false entries Triple-Layer Entry Logic Requires simultaneous confluence of: Custom Bollinger Band penetration RSI oversold filter (above critical threshold) Golden cross confirmation (fast MA > slow MA) Volatility assessment via ATR Intelligent Exit System Position closure triggers when either: Fixed profit target (% of account) is reached Technical boundary (upper Bollinger Band) is touched ⚙️ Core Mechanics: graph LR A --> B B --> C{Initial Entry: 1% capital} C --> D D -->|Yes| E D -->|No| F E --> G{Max Averaging Levels?} G -->|No| D G -->|Yes| H F --> I 📊 Implementation Guide: Capital Configuration Set initial_capital to your actual account size Calculate base contract size: (Account Size × 0.01) / (Instrument Price × Point Value) Example: $10,000 account → 0.01 BTC futures contracts Pyramiding Structure Volume progression per averaging level: Level 1: 1× (Base volume) Level 2: 2× Level 3: 4× Level 4: 8× Level 5: 16× Level 6: 32× (Max 6 levels configurable in strategy settings) Custom Entry Variations Alternative approach for swing captures: // Enter only at 3rd averaging with 5% capital if averaging_condition and strategy.opentrades == 2 strategy.entry("SwingEntry", strategy.long, qty=base_order_size*5) Risk Management Protocol No traditional stop-loss (replaced by averaging) Break-even trigger: Manually move to breakeven at +0.5% profit Max exposure: Capped at 6 averaging levels Commissions: Pre-configured at 0.1% per trade ⚠️ Critical Risk Disclosures: "Past Performance ≠ Future Results" Historical optimization requires continuous forward testing ("Walk Forward" in TV). Pyramiding Hazards Exponential volume growth demands: Minimum 20% free margin buffer High liquidity instruments (spread < 0.5% of ATR) Strict per-level risk calculation Market Regime Dependence Peak efficiency during: Strong trends with 2-4% retracements Assets with ATR > 1.5% of daily range Avoid ranging/low-volatility conditions 💡 Pro Usage Recommendations: Position Sizing Formula For futures: Contracts = (Capital × Risk %) / (Entry Price × Point Value × Stop Distance) Profit Protection Close 50% position at 50% profit target, trail remainder Event Safety Disable averaging during: High-impact news events Exchange outages Abnormal volume spikes pie title Risk Allocation per Level “First Entry” : 12 “Level 2” : 18 “Level 3” : 25 “Level 4” : 45 ESSENTIAL: This strategy demands strict discipline. Terminate averaging when price action deviates from expected patterns. Always maintain reserve capital exceeding maximum drawdown requirements. Regularly validate strategy performance against current market dynamics. 🔥 Уникальные особенности и ценность: Адаптивное усреднение Стратегия автоматически увеличивает позицию при движении против вас, используя экспоненциальное наращивание объема (1x, 2x, 4x и т.д.). Это снижает среднюю цену входа и ускоряет выход в прибыль при развороте. Мультитаймфреймная фильтрация Все индикаторы работают на старшем таймфрейме (120 минут), что: Фильтрует рыночный шум Обеспечивает более надежные сигналы Синхронизируется с глобальным трендом Комбинированный триггер входа Для активации требуется одновременное выполнение 4 условий: Пробитие кастомной полосы Боллинджера Подтверждение тренда (быстрая MA > медленной MA) Контроль перепроданности (RSI выше критического уровня) Фильтр волатильности (ATR) Двойной механизм выхода Закрытие позиций происходит при: Достижении целевого уровня прибыли (% от депозита) Техническом сигнале (касание верхней полосы Боллинджера) ⚙️ Как работает стратегия: graph TD A --> B B --> C{Первый вход: 1% депозита} C --> D D -->|Да| E D -->|Нет| F E --> G{Достигнут лимит усреднений?} G -->|Нет| D G -->|Да| H F --> I 📊 Как пользоваться: Стартовые настройки Base Order Size: Стартовый объем = 1% депозита (Пример: при $10 000 депозита = 0.01 контракта) initial_capital: Укажите ваш реальный депозит Правила пирамидинга Объем наращивается по схеме: Уровень 1: 1x (базовый объем) Уровень 2: 2x Уровень 3: 4x Уровень 4: 8x Уровень 5: 16x Уровень 6: 32x РЕКОМЕНДУЕТСЯ Максимум 6 уровней усреднения (настраивается в pyramiding) Кастомизация входов Пример модификации для агрессивной тактики: // Вход только на 3-м усреднении с 5% депозита if averaging_condition and strategy.opentrades == 2 strategy.entry("BuyAggressive", strategy.long, qty=base_order_size*5) Можно поставить параметр пираммидинг 1 и получать больше сигналов на младших тайм фреймах Управление рисками Стоп-лосс: Не используется (заменен усреднением) Перевод в безубыток: Активируйте вручную при +0.5% Максимальная просадка: Рекомендуется Ограничивать 6 уровнями усреднения Комиссии: Учтены (0.1% от объема сделки) Критические предупреждения: "Вчера ≠ Сегодня" Стратегия оптимизирована под историческую волатильность. Регулярно тестируйте на новых данных (режим "Перед тест" в TV). Опасность усреднения Экспоненциальный рост объема требует: Глубокого расчета риска на уровень Минимум 20% свободного маржи Ликвидный инструмент (спред < 0.5% от ATR) Рыночные условия Максимальная эффективность в: Трендовых рынках с коррекциями 2-4% Инструментах с ATR > дневного диапазона 1.5% 💡 Рекомендации по использованию: Для фьючерсов: Рассчитайте контракты через (капитал * 0.01) / (цена * пункт_стоимости) При 50% достижении цели прибыли - закройте 50% позиции Отключайте усреднение при выходе макро-новостей pie title Распределение риска "Первый вход" : 10 "Уровень 2" : 20 "Уровень 3" : 30 "Уровень 4" : 40 ВАЖНО: Эта стратегия требует дисциплины! Прекращайте усреднение при отклонении рынка от исторических паттернов. Всегда имейте резервный капитал для экстренных случаев.
Pine Script®策略
由Mary_bad提供
Price Statistical Strategy-Z Score V 1.01 Price Statistical Strategy – Z Score V 1.01 Overview A technical breakdown of the logic and components of the “Price Statistical Strategy – Z Score V 1.01”. This script implements a smoothed Z-Score crossover mechanism applied to the closing price to detect potential statistical deviations from local price mean. The strategy operates solely on price data (close) and includes signal spacing control and momentum-based candle filters. No volume-based or trend-detection components are included. Core Methodology The strategy is built on the statistical concept of Z-Score, which quantifies how far a value (closing price) is from its recent average, normalized by standard deviation. Two moving averages of the raw Z-Score are calculated: a short-term and a long-term smoothed version. The crossover between them generates long entries and exits. Signal Conditions Entry Condition: A long position is opened when the short-term smoothed Z-Score crosses above the long-term smoothed Z-Score, and additional entry conditions are met. Exit Condition: The position is closed when the short-term Z-Score crosses below the long-term Z-Score, provided the exit conditions allow. Signal Gapping: A minimum number of bars (Bars gap between identical signals) must pass between repeated entry or exit signals to reduce noise. Momentum Filter: Entries are prevented during sequences of three or more consecutively bullish candles, and exits are prevented during three or more consecutively bearish candles. Z-Score Function The Z-Score is calculated as: Z = (Close - SMA(Close, N)) / STDEV(Close, N) Where N is the base period selected by the user. Input Parameters Enable Smoothed Z-Score Strategy Enables or disables the Z-Score strategy logic. When disabled, no trades are executed. Z-Score Base Period Defines the number of bars used to calculate the simple moving average and standard deviation for the Z-Score. This value affects how responsive the raw Z-Score is to price changes. Short-Term Smoothing Sets the smoothing window for the short-term Z-Score. Higher values produce smoother short-term signals, reducing sensitivity to short-term volatility. Long-Term Smoothing Sets the smoothing window for the long-term Z-Score, which acts as the reference line in the crossover logic. Bars gap between identical signals Minimum number of bars that must pass before another signal of the same type (entry or exit) is allowed. This helps reduce redundant or overly frequent signals. Trade Visualization Table A table positioned at the bottom-right displays live PnL for open trades: Entry Price Unrealized PnL % Text colors adapt based on whether unrealized profit is positive, negative, or neutral. Technical Notes This strategy uses only close prices — no trend indicators or volume components are applied. All calculations are based on simple moving averages and standard deviation over user-defined windows. Designed as a minimal, isolated Z-Score engine without confirmation filters or multi-factor triggers.
Pine Script®策略
由ata_sabanci提供
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StockaTon提供
Cyber Strategy V1Сyber Strategy V1 – Indicator Testing & Strategy Execution Framework ✅ Overview Cyber Strategy V1 is a closed-source strategy framework engineered to turn any of yours external indicator into a systematic, rule-based trading system. Designed for rigorous testing and live deployment, it combines multi-signal inputs, confirmations and automated execution paths to help traders and developers validate signal quality and manage risk with precision. ✅ Core Functionality Multi-Source Independent Signal Inputs Reversal Logic Take Profit: up to 5 staggered TP levels, specified as percentage Stop Loss: configurable via fixed percentage or dynamic SL that trails a reverse signals. ✅ Statistical Drawdown Analysis For all profitable trades, tracks the maximum intratrade drawdown. Computes percentile levels of profitable trades that hits minimum drawdowns to inform: Entry buffer zones (e.g. avoid entering during transient noise) Partial entry scaling prices. ✅ Signal Confirmation Optional confirmation delays: hold entry until other signal section send a confirmation from another indicator. ✅ Automated Execution Integrations Cornix Text Alerts: Generates pre-formatted alerts compatible with Cornix for semi-automated or bot trading. Webhook Support: Emits JSON payloads on order-fill events to any endpoint, enabling full automation through third-party services or custom order-routing systems. Important Notes ⚠️ THIS STRATEGY DOES NOT INCLUDE INDICATORS. Examples shown on screenshots use third-party tools. NO PROPRIETARY INDICATORS INCLUDED: Cyber Strategy V1 relies entirely on external signal inputs. ⚠️ All backtesting parameters are customizable; thorough backtesting under realistic slippage, fees and spread assumptions is essential before live deployment.
Pine Script®策略
由CyberBOB_Crypto提供
1
AltCoin Index Correlation🧠 AltCoin Index Correlation — Strategy Overview AltCoin Index Correlation is a dynamic EMA-based trading strategy designed primarily for altcoins, but also adaptable to stocks and indices, thanks to its flexible reference index system. 🧭 Strategy Philosophy The core idea behind this strategy is simple yet powerful: Price action becomes more meaningful when it aligns with broader market context. This script analyzes the correlation between the asset’s trend and a reference index trend, using dual EMA (Exponential Moving Average) crossovers for both. When both the altcoin and the reference index (e.g. Altcoin Dominance, BTC Dominance, Total Market Cap, or even indices like the NASDAQ 100 or S&P 500) are aligned in trend direction, the script considers it a high-confidence setup. It also includes: Optional inverse correlation logic (for contrarian setups) Custom leverage settings (e.g., 1x, 1.8x, etc.) A dynamic scale-out mechanism during weakening trends Date filtering for controlled backtests A live performance dashboard with equity, PnL, win rate, drawdown, APR, and more ⚙️ Default Settings & Backtest Results Timeframe tested: 1H Test date: May 20, 2025 Sample: 100 high-cap altcoins Reference index: CRYPTOCAP:OTHERS.D (Altcoin Dominance) Leverage: 1.8x (180% of capital used) 📊 With default settings: Win rate: ~80% Higher profits, due to increased exposure Best suited for confident trend followers with higher risk tolerance 📉 With fixed capital or 1x leverage: Win rate improves to ~90% Lower returns, but greater capital preservation Ideal for conservative or risk-managed trading styles 🔄 Versatility While tailored for altcoins, this strategy supports traditional markets as well: Easily switch the reference index to OANDA:NAS100USD or S&P 500 for stock correlation trading Adjust EMA lengths and leverage to match the asset class and volatility profile 🧩 Suggested Use Best used on trending markets (not sideways) Ideal for 1H timeframes, but adjustable Suitable for traders who want a rules-based, macro-aware entry/exit system Try it out, customize it to your style, try different settings and share your results with the community! Feedback is welcome — and improvements are always in progress. 🚀 ### Check my profile for other juicy hints and original strategies. ### 🚀
Pine Script®策略
由Eddie_Bitcoin提供
5
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
RCI Strategy [PineIndicators]RCI Strategy This strategy leverages the Rank Correlation Index (RCI) — a statistical oscillator that measures the relationship between time and price rank — combined with a configurable moving average filter. It offers clean, rule-based entries and exits, and visually enhanced trade tracking via labeled markers and boxes on the chart. The RCI Strategy is well-suited for momentum traders looking to capture directional shifts with confirmation through RCI smoothing. Core Logic 1. Rank Correlation Index (RCI) Measures how closely price changes correlate with time rankings. Values range between -100 and +100. Thresholds at ±80 help identify potential reversals or extremes. 2. RCI Smoothing via Moving Average A moving average (MA) is applied to the RCI to smooth out fluctuations. Supported MA types: SMA EMA SMMA (RMA) WMA VWMA Users can disable the smoothing by selecting "None". Trade Entry Logic Long Entry: RCI crosses above the selected moving average. Short Entry: RCI crosses below the moving average. Entries are restricted by trade direction settings: Long Only Short Only Long & Short Visual Features RCI Panel Display Plots RCI line and its moving average in a separate pane. Horizontal guide lines at 0, +80, and -80 help visualize signal zones. Trade Labels on Chart Buy Label: Plotted when a long entry is executed. Close Label: Plotted when any position is closed. Triangle markers for visual emphasis on direction change. Trade Visualization Boxes A colored box is drawn between entry and exit prices. Green = profitable trade; Red = losing trade. Two horizontal lines connect entry and exit prices for reference. Customization Parameters RCI Source: Select input price for the RCI (default: close). RCI Length: Set sensitivity of the oscillator. MA Type and Length: Choose and configure the smoothing filter. Trade Direction Mode: Define whether to allow Long, Short, or both. Use Cases Swing traders who want to trade directional reversals with statistical backing. Traders seeking a clean and visual strategy based on rank momentum. Environments where both trend and range dynamics occur. Conclusion The RCI Strategy is a non-repainting, rule-based trading model that combines rank correlation momentum with smoothed trend logic. Its clean visual markers, labeled trades, and flexible MA filters make it a valuable tool for discretionary and systematic traders alike.
Pine Script®策略
由PineIndicators提供
4
Parabolic RSI Strategy [ChartPrime × PineIndicators]This strategy combines the strengths of the Relative Strength Index (RSI) with a Parabolic SAR logic applied directly to RSI values. Full credit to ChartPrime for the original concept and indicator, licensed under the MPL 2.0. It provides clear momentum-based trade signals using an innovative method that tracks RSI trend reversals via a customized Parabolic SAR, enhancing traditional oscillator strategies with dynamic trend confirmation. How It Works The system overlays a Parabolic SAR on the RSI, detecting trend shifts in RSI itself rather than on price, offering early reversal insight with visual and algorithmic clarity. Core Components 1. RSI-Based Trend Detection Calculates RSI using a customizable length (default: 14). Uses upper and lower thresholds (default: 70/30) for overbought/oversold zones. 2. Parabolic SAR Applied to RSI A custom Parabolic SAR function tracks momentum within the RSI, not price. This allows the system to capture RSI trend reversals more responsively. Configurable SAR parameters: Start, Increment, and Maximum acceleration. 3. Signal Generation Long Entry: Triggered when the SAR flips below the RSI line. Short Entry: Triggered when the SAR flips above the RSI line. Optional RSI filter ensures that: Long entries only occur above a minimum RSI (e.g. 50). Short entries only occur below a maximum RSI. Built-in logic prevents new positions from being opened against trend without prior exit. Trade Modes & Controls Choose from: Long Only Short Only Long & Short Optional setting to reverse positions on opposite signal (instead of waiting for a flat close). Visual Features 1. RSI Plotting with Thresholds RSI is displayed in a dedicated pane with overbought/oversold fill zones. Custom horizontal lines mark threshold boundaries. 2. Parabolic SAR Overlay on RSI SAR dots color-coded for trend direction. Visible only when enabled by user input. 3. Entry & Exit Markers Diamonds: Mark entry points (above for shorts, below for longs). Crosses: Mark exit points. Strategy Strengths Provides early momentum reversal entries without relying on price candles. Combines oscillator and trend logic without repainting. Works well in both trending and mean-reverting markets. Easy to configure with fine-tuned filter options. Recommended Use Cases Intraday or swing traders who want to catch RSI-based reversals early. Traders seeking smoother signals than price-based Parabolic SAR entries. Users of RSI looking to reduce false positives via trend tracking. Customization Options RSI Length and Thresholds. SAR Start, Increment, and Maximum values. Trade Direction Mode (Long, Short, Both). Optional RSI filter and reverse-on-signal settings. SAR dot color customization. Conclusion The Parabolic RSI Strategy is an innovative, non-repainting momentum strategy that enhances RSI-based systems with trend-confirming logic using Parabolic SAR. By applying SAR logic to RSI values, this strategy offers early, visualized, and filtered entries and exits that adapt to market dynamics. Credit to ChartPrime for the original methodology, published under MPL-2.0.
Pine Script®策略
由PineIndicators提供
Praetor Sentinel V11.2 NOLOOSE BETA📈 Praetor Sentinel V11.2 – "NOLOOSE BETA" Algorithmic Trading Strategy for Trend Markets with Adaptive Risk Management Praetor Sentinel V11.2 is an advanced algorithmic trading strategy for TradingView, specifically designed to operate in strong trend conditions. It combines multiple technical systems—including dynamic trend filters, multi-layer EMA structures, ADX-based volatility control, and adaptive trailing stops—into a powerful and automated trading framework. 🔧 Core Features Multi-EMA Trend Detection: Two EMA pairs (short/long) to identify and confirm directional trends. XO-EMA Breakout Logic: Fast EMA crossover to detect breakout opportunities. ADX Trend Filter: Trades only during strong market trends (above custom ADX threshold). HTF Filter: Optional higher timeframe trend confirmation (e.g. Daily 50 EMA). VWAP Validation: Ensures entries aren't taken against the volumetric average. RSI Filter: Adds a momentum filter (e.g. RSI > 50 for long trades). 🎯 Entry Signals The strategy uses two entry types: Breakout Entries: Based on XO-EMA cross and multi-EMA trend alignment. Pullback Entries: Configurable via various methods such as EMA21 reentry, RSI reversal, engulfing candles, or VWAP reclaim. All entries can be delayed via confirmation candle logic, requiring a bullish or bearish follow-up bar. 🛡️ Risk Management & Exit Logic Dynamic ATR Trailing Stop: Adjusts stop distance according to market volatility with optional swing high/low protection. Break-Even Logic: Locks in trades at breakeven once a defined profit is reached. Hard Stop-Loss: Caps potential loss per trade with a fixed % (e.g. 1%). Safe Mode ("NOLOOSE"): Exits early if price moves too far against the position — ideal for automated bots that must avoid drawdowns. 🤖 Automation & Alerts This strategy is fully automatable with services like 3Commas using built-in alert messages for entries and exits. All parameters are fully configurable to adapt to different assets, timeframes, and trading styles. ⚙️ Additional Features Configurable leverage & position sizing Time-based trading window Built-in Anchored VWAP Modular design for easy extension 📌 Summary Praetor Sentinel V11.2 is a professional-grade tool for trend traders who want rule-based entry/exit logic, adaptive stop systems, and robust protection features. When paired with automation tools, it offers a reliable, low-maintenance setup that emphasizes safety, structure, and scalability. 🛠 How to Use Praetor Sentinel V11.2 – NOLOOSE BETA 🔍 1. Basic Configuration (Required) Setting Description Enable Long Trades Enables long (buy) positions. Enable Short Trades Enables short (sell) positions. Leverage Used for position sizing calculations. Position Size % Defines % of capital to be used per trade. ⏰ 2. Time Filter (Optional) Restricts trading to a defined time range. Setting Description Start Date Start date for strategy to be active. End Date End date for strategy to stop. Time Zone Time zone for above settings. 📊 3. Trend Setup (Essential for Entry Signals) Setting Description MA Type Type of moving average: EMA or SMA. EMA1/2 Short & Long Two EMA-based systems to determine trend. Fast/Slow EMA (XO) Used for crossover breakout detection. HTF Filter Uses higher timeframe trend for additional confirmation. RSI Filter Confirms entries only if momentum (RSI) supports it. ADX Threshold Ensures trades only occur during strong trends. 🎯 4. Entry Logic Setting Description Pullback Entry Type Enables optional entry setups: "Off" "EMA21" "RSI" "Engulfing" "VWAP" | Use Confirmation Candle | Entry is delayed until a confirmation bar appears. | | VWAP Confirmation | Trade only if price is above/below the VWAP (based on direction). | Note: You can combine breakout + pullback signals. Only one has to trigger. 🧯 5. Risk Control & Exit Settings Setting Description Trailing Stop Mode "Standard": Classic trailing stop "Dynamic ATR": Adjusts to current volatility "Dynamic ATR + Swing": Adds swing high/low buffer | Enable Break-Even | Moves SL to breakeven once a target % gain is reached. | | Enable Hard Stop-Loss | Fixed stop-loss (e.g. 1%) to cap trade risk. | | Enable Safe Mode | Exits trade early if price moves against it beyond defined % (e.g. 0.3%). | 🔔 6. Alerts & Bot Automation Setting Description Entry Long/Short Msg Text message sent via alert when a position opens. Exit Long/Short Msg Alert message for stop-loss/exit logic. How to automate with 3Commas: Load the strategy on your chart. Manually create alerts using "Create Alert" in TradingView. Use the built-in alert_message values for bot integration. ✅ Recommended Settings (Example for BTC/ETH on 1H) Long & Short: ✅ Enabled Leverage: 2.0 Timeframe: 1H Pullback Entry: "EMA21" MA Type: EMA HTF Filter: Enabled (Daily EMA50) RSI Filter: Enabled VWAP Filter: Enabled Break-Even: On at 0.5% Hard SL: 1.0% Safe Mode: On at -0.3% Trailing Stop: "Dynamic ATR + Swing" 📘 Pro Tips for Testing & Customization Use the Strategy Tester in TradingView to analyze performance over different assets. Experiment with timeframes and entry modes. Ideal for trending assets like BTC, ETH, SOL, etc. You can expand it with take-profit logic, fixed TPs, indicator exits, etc.
Pine Script®策略
由Namwarone提供
Dual-Phase Trend Regime Strategy [Zeiierman X PineIndicators]This strategy is based on the Dual-Phase Trend Regime Indicator by Zeiierman. Full credit for the original concept and logic goes to Zeiierman. This non-repainting strategy dynamically switches between fast and slow oscillators based on market volatility, providing adaptive entries and exits with high clarity and reliability. Core Concepts 1. Adaptive Dual Oscillator Logic The system uses two oscillators: Fast Oscillator: Activated in high-volatility phases for quick reaction. Slow Oscillator: Used during low-volatility phases to reduce noise. The system automatically selects the appropriate oscillator depending on the market's volatility regime. 2. Volatility Regime Detection Volatility is calculated using the standard deviation of returns. A median-split algorithm clusters volatility into: Low Volatility Cluster High Volatility Cluster The current volatility is then compared to these clusters to determine whether the regime is low or high volatility. 3. Trend Regime Identification Based on the active oscillator: Bullish Trend: Oscillator > 0.5 Bearish Trend: Oscillator < 0.5 Neutral Trend: Oscillator = 0.5 The strategy reacts to changes in this trend regime. 4. Signal Source Options You can choose between: Regime Shift (Arrows): Trade based on oscillator value changes (from bullish to bearish and vice versa). Oscillator Cross: Trade based on crossovers between the fast and slow oscillators. Trade Logic Trade Direction Options Long Only Short Only Long & Short Entry Conditions Long Entry: Triggered on bullish regime shift or fast crossing above slow. Short Entry: Triggered on bearish regime shift or fast crossing below slow. Exit Conditions Long Exit: Triggered on bearish shift or fast crossing below slow. Short Exit: Triggered on bullish shift or fast crossing above slow. The strategy closes opposing positions before opening new ones. Visual Features Oscillator Bands: Plots fast and slow oscillators, colored by trend. Background Highlight: Indicates current trend regime. Signal Markers: Triangle shapes show bullish/bearish shifts. Dashboard Table: Displays live trend status ("Bullish", "Bearish", "Neutral") in the chart’s corner. Inputs & Customization Oscillator Periods – Fast and slow lengths. Refit Interval – How often volatility clusters update. Volatility Lookback & Smoothing Color Settings – Choose your own bullish/bearish colors. Signal Mode – Regime shift or oscillator crossover. Trade Direction Mode Use Cases Swing Trading: Take entries based on adaptive regime shifts. Trend Following: Follow the active trend using filtered oscillator logic. Volatility-Responsive Systems: Adjust your trade behavior depending on market volatility. Clean Exit Management: Automatically closes positions on opposite signal. Conclusion The Dual-Phase Trend Regime Strategy is a smart, adaptive, non-repainting system that: Automatically switches between fast and slow trend logic. Responds dynamically to changes in volatility. Provides clean and visual entry/exit signals. Supports both momentum and reversal trading logic. This strategy is ideal for traders seeking a volatility-aware, trend-sensitive tool across any market or timeframe. Full credit to Zeiierman.
Pine Script®策略
由PineIndicators提供
Reversal Strength Meter – Adib NooraniThe Reversal Strength Meter is an oscillator designed to identify potential reversal zones based on supply and demand dynamics. It uses smoothed stochastic logic to reduce noise and highlight areas where momentum may be weakening, signaling possible market turning points. 🔹 Smooth, noise-reduced stochastic oscillator 🔹 Custom zones to highlight potential supply and demand imbalances 🔹 Non-repainting, compatible across all timeframes and assets 🔹 Visual-only tool — intended to support discretionary trading decisions This oscillator assists scalpers and intraday traders in tracking subtle shifts in momentum, helping them identify when a market may be preparing to reverse — always keeping in mind that trading is based on probabilities, not certainties. 📘 How to Use the Indicator Efficiently For Reversal Trading: Buy Setup – When the blue line dips below the 20 level, wait for it to re-enter above 20. – Look for reversal candlestick patterns (e.g., bullish engulfing, hammer, or morning star). – Enter above the pattern’s high, with a stop loss below its low. Sell Setup – When the blue line rises above the 80 level, wait for it to re-enter below 80. – Look for bearish candlestick patterns (e.g., bearish engulfing, inverted hammer, or evening star). – Enter below the pattern’s low, with a stop loss above its high. 🛡 Risk Management Guidelines Risk only 0.5% of your capital per trade Book 50% profits at a 1:1 risk-reward ratio Trail the remaining 50% using price action or other supporting indicators
Pine Script®指標
由GlobalMarketWizard提供
1
Reversal Scalping Ribbon - Adib NooraniThe Reversal Scalping Ribbon is a trend-following overlay tool designed to visually identify potential reversal zones based on price extremes and dynamic volatility bands. It calculates adaptive upper and lower bands using price action and custom ATR logic, helping traders quickly assess market direction and possible turning points 🔹 Volatility-adjusted bands based on price highs/lows 🔹 Color-coded ribbons to indicate trend bias and potential reversal shifts 🔹 No repainting, works on all timeframes and assets 🔹 Visual-only display, no trade signals — supports discretion-based entries This ribbon is designed for scalpers and intraday traders to spot reversal setups with clarity. It enhances your trading by showing real-time market bias without unnecessary distractions. By focusing on probabilities, it helps to improve decision-making in fast-paced environments How to use the indicator efficiently For Reversal Trading: Buy: When price closes below the green ribbon with a red candle, then re-enters with a green candle. Enter above the high of the green candle with a stop loss below the lowest low of the recent green/red candles Sell: When price closes above the red ribbon with a green candle, then re-enters with a red candle. Enter below the low of the red candle with a stop loss above the highest high of the recent red/green candles Risk Management: Limit risk to 0.5% of your capital per trade Take 50% profit at a 1:1 risk-reward ratio For the remaining 50%, trail using the lower edge of the green band for buys and the upper edge of the red band for sells
Pine Script®指標
由GlobalMarketWizard提供
Gabriel's Price Action Strategy🧠 Gabriel's Price Action Strategy — Smart Signal Sequence with Dynamic Risk Control Created by: OneWallStreetQuant Strategy Type: Momentum-based Sequence Logic + Smart Volume & RSI Filters Ideal For: Intraday scalping, swing trading, and momentum trend entries on stocks, forex, crypto, indices. 🚀 Overview Gabriel's Price Action Strategy is a multi-layered, logic-driven trading system that combines: ✅ Candle Sequence Detection: Detects persistent bullish/bearish momentum using a smart configurable sequence of green/red candles. ✅ Structure Break Filtering: Prevents entries if recent price invalidates the momentum setup (e.g., a red candle breaks a bullish low). ✅ Custom Volume Engine: Integrates a hybrid tick-volume model using Negative/Positive Volume Index (NVI-PVI) to identify smart money flows. ✅ Advanced RSI Logic: Uses Jurik RSX for accurate oversold/overbought filtering. ✅ Optional MTF Trend Filter: Validates trend direction using a slope-based Jurik MA on higher timeframes. ✅ MPT-Based DMI Filter: Adds pyramid entries only during strong trend phases, based on Gain/Pain ratios and Ulcer-index smoothed ADX. ✅ Risk Management: ATR-based SL/TP and fully customizable trailing logic for both profit and stop-loss. 📈 Entry Logic Trades are triggered only when: A minimum number of recent candles are bullish/bearish (Min Green/Red Candles) Structure has not been broken by opposite price action (optional) Relative volume exceeds average (optional) RSI is below overbought or above oversold (optional) MTF slope is aligned with trend direction (optional) 💡 Key Features Custom Candle Logic: Detects momentum shifts using a tunable lookback window (up to 50 bars). Smart Volume Filtering: Volume is intelligently estimated using tick-based ranges and NVI-PVI deltas. Risk Management Built-in: Set your ATR length, SL/TP multipliers, and dynamic trailing offsets with full control. Scorecard System: A built-in scoring engine evaluates Win Rate, Drawdown, Sharpe Ratio, Recovery Factor, and Profit Factor — visualized on chart as a label. Backtest-Friendly: Includes date range toggles, bar-magnifier support, and optimized execution on every tick. 📊 Strategy Scorecard (Label) Automatically calculates: ✅ Total Trades ✅ Win Rate (%) ✅ Net Profit ✅ Profit Factor ✅ Expected Payoff ✅ Max & Avg Drawdown ✅ Recovery Factor ✅ Sharpe Ratio ✅ VaR (95%) Plus, assigns a normalized score from 0 to 100 for evaluating overall robustness. ⚙️ Customization Every module — from entry filters to pyramiding and trailing logic — is fully configurable: Volume Filters ✅ RSI Filters ✅ Structure Break Checks ✅ HTF Jurik MA & Slope Threshold ✅ Multi-Timeframe Mode ✅ Backtest Score Visualization ✅ ⚠️ Notes Enable bar magnifier and calc on every tick for best accuracy. On early bars, signal logic may delay until enough candles are available. Best paired with assets showing directional volatility (SPY, BTC, ETH, Gold, etc.). Ideally paired on trending timeframes such as M1, M5, M15, M30, 1HR, 4 Hourly, Daily, Weekly, Monthly, etc.
Pine Script®策略
由OneWallStreetQuant提供
1
Moving Average Shift WaveTrend StrategyMoving Average Shift WaveTrend Strategy 🧭 Overview The Moving Average Shift WaveTrend Strategy is a trend-following and momentum-based trading system designed to be overlayed on TradingView charts. It executes trades based on the confluence of multiple technical conditions—volatility, session timing, trend direction, and oscillator momentum—to deliver logical and systematic trade entries and exits. 🎯 Strategy Objectives Enter trades aligned with the prevailing long-term trend Exit trades on confirmed momentum reversals Avoid false signals using session timing and volatility filters Apply structured risk management with automatic TP, SL, and trailing stops ⚙️ Key Features Selectable MA types: SMA, EMA, SMMA (RMA), WMA, VWMA Dual-filter logic using a custom oscillator and moving averages Session and volatility filters to eliminate low-quality setups Trailing stop, configurable Take Profit / Stop Loss logic “In-wave flag” prevents overtrading within the same trend wave Visual clarity with color-shifting candles and entry/exit markers 📈 Trading Rules ✅ Long Entry Conditions: Price is above the selected MA Oscillator is positive and rising 200-period EMA indicates an uptrend ATR exceeds its median value (sufficient volatility) Entry occurs between 09:00–17:00 (exchange time) Not currently in an active wave 🔻 Short Entry Conditions: Price is below the selected MA Oscillator is negative and falling 200-period EMA indicates a downtrend All other long-entry conditions are inverted ❌ Exit Conditions: Take Profit or Stop Loss is hit Opposing signals from oscillator and MA Trailing stop is triggered 🛡️ Risk Management Parameters Pair: ETH/USD Timeframe: 4H Starting Capital: $3,000 Commission: 0.02% Slippage: 2 pips Risk per Trade: 2% of account equity (adjustable) Total Trades: 224 Backtest Period: May 24, 2016 — April 7, 2025 Note: Risk parameters are fully customizable to suit your trading style and broker conditions. 🔧 Trading Parameters & Filters Time Filter: Trades allowed only between 09:00–17:00 (exchange time) Volatility Filter: ATR must be above its median value Trend Filter: Long-term 200-period EMA 📊 Technical Settings Moving Average Type: SMA Length: 40 Source: hl2 Oscillator Length: 15 Threshold: 0.5 Risk Management Take Profit: 1.5% Stop Loss: 1.0% Trailing Stop: 1.0% 👁️ Visual Support MA and oscillator color changes indicate directional bias Clear chart markers show entry and exit points Trailing stops and risk controls are transparently managed 🚀 Strategy Improvements & Uniqueness In-wave flag avoids repeated entries within the same trend phase Filtering based on time, volatility, and trend ensures higher-quality trades Dynamic high/low tracking allows precise trailing stop placement Fully rule-based execution reduces emotional decision-making 💡 Inspirations & Attribution This strategy is inspired by the excellent concept from: ChartPrime – “Moving Average Shift” It expands on the original idea with advanced trade filters and trailing logic. Source reference: 📌 Summary The Moving Average Shift WaveTrend Strategy offers a rule-based, reliable approach to trend trading. By combining trend and momentum filters with robust risk controls, it provides a consistent framework suitable for various market conditions and trading styles. ⚠️ Disclaimer This script is for educational purposes only. Trading involves risk. Always use proper backtesting and risk evaluation before applying in live markets.
Pine Script®策略
由PakunFX提供
RSI Full [Titans_Invest]RSI Full One of the most complete RSI indicators on the market. While maintaining the classic RSI foundation, our indicator integrates multiple entry conditions to generate more accurate buy and sell signals. All conditions are fully configurable, allowing complete customization to fit your trading strategy. ⯁ WHAT IS THE RSI❓ The Relative Strength Index (RSI) is a technical analysis indicator developed by J. Welles Wilder. It measures the magnitude of recent price movements to evaluate overbought or oversold conditions in a market. The RSI is an oscillator that ranges from 0 to 100 and is commonly used to identify potential reversal points, as well as the strength of a trend. ⯁ HOW TO USE THE RSI❓ The RSI is calculated based on average gains and losses over a specified period (usually 14 periods). It is plotted on a scale from 0 to 100 and includes three main zones: Overbought: When the RSI is above 70, indicating that the asset may be overbought. Oversold: When the RSI is below 30, indicating that the asset may be oversold. Neutral Zone: Between 30 and 70, where there is no clear signal of overbought or oversold conditions. ⯁ ENTRY CONDITIONS The conditions below are fully flexible and allow for complete customization of the signal. ______________________________________________________ 🔹 CONDITIONS TO BUY 📈 ______________________________________________________   •  Signal Validity: The signal will remain valid for X bars .   •  Signal Sequence: Configurable as AND/OR . 📈 RSI Conditions: 🔹 RSI > Upper 🔹 RSI < Upper 🔹 RSI > Lower 🔹 RSI < Lower 🔹 RSI > Middle 🔹 RSI < Middle 🔹 RSI > MA 🔹 RSI < MA 📈 MA Conditions: 🔹 MA > Upper 🔹 MA < Upper 🔹 MA > Lower 🔹 MA < Lower 📈 Crossovers: 🔹 RSI (Crossover) Upper 🔹 RSI (Crossunder) Upper 🔹 RSI (Crossover) Lower 🔹 RSI (Crossunder) Lower 🔹 RSI (Crossover) Middle 🔹 RSI (Crossunder) Middle 🔹 RSI (Crossover) MA 🔹 RSI (Crossunder) MA 🔹 MA (Crossover) Upper 🔹 MA (Crossunder) Upper 🔹 MA (Crossover) Lower 🔹 MA (Crossunder) Lower 📈 RSI Divergences: 🔹 RSI Divergence Bull 🔹 RSI Divergence Bear ______________________________________________________ ______________________________________________________ 🔸 CONDITIONS TO SELL 📉 ______________________________________________________   •  Signal Validity: The signal will remain valid for X bars .   •  Signal Sequence: Configurable as AND/OR . 📉 RSI Conditions: 🔸 RSI > Upper 🔸 RSI < Upper 🔸 RSI > Lower 🔸 RSI < Lower 🔸 RSI > Middle 🔸 RSI < Middle 🔸 RSI > MA 🔸 RSI < MA 📉 MA Conditions: 🔸 MA > Upper 🔸 MA < Upper 🔸 MA > Lower 🔸 MA < Lower 📉 Crossovers: 🔸 RSI (Crossover) Upper 🔸 RSI (Crossunder) Upper 🔸 RSI (Crossover) Lower 🔸 RSI (Crossunder) Lower 🔸 RSI (Crossover) Middle 🔸 RSI (Crossunder) Middle 🔸 RSI (Crossover) MA 🔸 RSI (Crossunder) MA 🔸 MA (Crossover) Upper 🔸 MA (Crossunder) Upper 🔸 MA (Crossover) Lower 🔸 MA (Crossunder) Lower 📉 RSI Divergences: 🔸 RSI Divergence Bull 🔸 RSI Divergence Bear ______________________________________________________ ______________________________________________________ 🤖 AUTOMATION 🤖 • You can automate the BUY and SELL signals of this indicator. ______________________________________________________ ______________________________________________________ ⯁ UNIQUE FEATURES ______________________________________________________ Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL ______________________________________________________ 📜 SCRIPT : RSI Full 🎴 Art by  : @Titans_Invest & @DiFlip 👨‍💻 Dev by : @Titans_Invest & @DiFlip 🎑 Titans Invest — The Wizards Without Gloves 🧤 ✨ Enjoy the Spell! ______________________________________________________ o Mission 🗺 • Inspire Traders to manifest Magic in the Market. o Vision 𐓏 • To elevate collective Energy 𐓷𐓏
Pine Script®指標
由Titans_Invest提供
ZVOL — Z-Score Volume Heatmapⓩ ZVOL transforms raw volume into a statistically calibrated heatmap using Z-score thresholds. Unlike classic volume indicators that rely on fixed MA comparisons, ZVOL calculates how many standard deviations each volume bar deviates from its mean. This makes the reading adaptive across timeframes and assets, in order to distinguish meaningful crowd behavior from random volatility. 📊 The core display is a five-zone histogram, each encoded by color and statistical depth. Optional background shading mirrors these zones across the entire pane, revealing subtle compression or structural rhythm shifts across time. By grounding the volume reading in volatility-adjusted context, ZVOL inhibits impulsive trading tactics by compelling the structure, not the sentiment, to dictate the signal. 🥵  Heatmap Coloration: 🌚 Suppressed volume —  congestion, coiling phases 🩱 Stable flow —  early trend or resting volume 🏀 High activity —  emerging pressure 💔 Extreme —  possible climax or institutional print 🎗️ A dynamic Fibonacci-based 21:34-period EMA ribbon overlays the histogram. The fill area inverts color on crossover, providing a real-time read on tempo, expansion, or divergence between price structure and crowd effort. 💡  LTF Usage Suggestions: • Confirm breakout legs when orange or red zones align with range exits • Fade overextended moves when red bars appear into resistance • Watch for rising EMAs and orange volume to front-run impulsive moves • Combine with volatility suppression (e.g. ATR) to catch compression → expansion transitions 🥂  Ideal Pairings: • OBVX Conviction Bias —  to confirm directional intent behind volume shifts • SUPeR TReND 2.718 —  for directional filters • ATR Turbulence Ribbon —  to detect compression phases 👥 The OBVX Conviction Bias adds a second dimension to ZVOL by revealing whether crowd effort is aligning with price direction or diverging beneath the surface. While ZVOL identifies statistical anomalies in raw volume, OBVX tracks directional commitment using cumulative volume and moving average cross logic. Use them together to spot fake-outs, anticipate structure-confirmed breakouts, or time pullbacks with volume-based conviction. 🔬 ZVOL isn’t just a volume filter — it’s a structural lens. It reveals when crowd effort is meaningful, when it's fading, and when something is about to shift. Designed for structure-aware traders who care about context, not noise.
Pine Script®指標
由TheLeadingIndicator提供
7-Channel Trend Meter v3🔥 7-Channel Trend Meter – Ultimate Trend Confirmation Tool 💹 Purpose: Supplementary indicator used as confirmation The 7-Channel Trend Meter offers an all-in-one confirmation system that combines 7 high-accuracy indicators into one easy-to-read visual tool. Say goodbye to guesswork and unnecessary tab-switching—just clear, actionable signals for smarter trades. Whether you're trading stocks, crypto, or forex, this indicator streamlines your decision-making process and enhances your strategy’s performance. ⚙️ What’s Inside The Box? Here is each tool that the Trend Meter uses, and why/how they're used: Average Directional Index: Confirms market strength ✅ Directional Movement Index: Confirms trend direction ✅ EMA Cross: Confirms reversals in trend through average price ✅ Relative Strength Index: Confirms trend through divergences ✅ Stochastic Oscillator: Confirms shifts in momentum ✅ Supertrend: Confirms trend-following using ATR calculations ✅ Volume Delta: Confirms buying/selling pressure weight by finding differences ✅ 🧾 How To Read It: 🟨 Bar 1 – Market Strength Meter: Light Gold 🟡: Strong market with trending conditions. Dark Gold 🟤: Weakening market or consolidation—proceed with caution. 📊 Bars 2 to 7 – Trend Direction Confirmations: 🟩 Green: Bullish signal, uptrend likely. 🟥 Red: Bearish signal, downtrend likely. 💯 Why it's helpful to traders: ✅ 7 Confirmations in 1 View: No need to flip between multiple charts. ✅ Visual Clarity: Spot trends instantly with a quick glance. ✅ Perfect for Entry Confirmation: Confirm trade signals before pulling the trigger. ✅ Boosts Your Win Rate: Make data-backed decisions, not guesses. ✅ Works Across Multiple Markets: Stocks, crypto, forex—you name it 🌍. 🤔 "What's with the indicator mashup/How do these components work together? 🤔 The 7-Channel Trend Meter is designed as an original and useful tool that integrates multiple indicators to enhance trading decisions, rather than merely combining existing tools without logical coherence. This strategic mashup creates a comprehensive analysis framework that offers deeper insights into market conditions by capitalizing on each component's unique strengths. The careful integration of seven indicators creates a unified system that eliminates conflicting signals and enhances the decision-making process. Rather than simply merging indicators for the sake of it, the 7-Channel Trend Meter is designed to streamline trading strategies, making it a practical tool for traders across various markets. By leveraging the combined strengths of these indicators, traders can act with greater confidence, backed by comprehensive data rather than fragmented insights. Here’s how they synergistically work together: Average Directional Index (ADX) and Directional Movement Index (DMI): The reason for this mashup is because ADX indicates the strength of the prevailing trend, while the DMI pinpoints its direction. Together, they equip traders with a dual framework that not only identifies whether to engage with a trend but also quantifies its strength, allowing for more decisive trading strategies. EMA Cross: The reason for this addition to the mashup is because this tool signals potential trend reversals by identifying moving average crossovers. When combined with the ADX and DMI, traders can better differentiate between genuine trend shifts and market noise, leading to more accurate entries. Relative Strength Index (RSI) and Stochastic Oscillator: The reason for this mashup is because by using both momentum indicators, traders gain a multifaceted view of market dynamics. The RSI assesses overbought or oversold conditions, while the Stochastic Oscillator confirms momentum shifts. When both agree with the trend signals from the DMI, it enhances the reliability of reversal or continuation strategies. Supertrend: The reason for this addition to the mashup is because as a trailing stop based on market volatility, the Supertrend indicator works hand-in-hand with the ADX’s strength assessment, allowing traders to ride strong trends while managing risk. This cohesion prevents premature exits during minor pullbacks. Volume Delta: The reason for this addition to the mashup is because integrating volume analysis helps validate signals from the price action indicators. Significant volume behind a price movement reinforces the likelihood of its continuation, ensuring that traders can act on well-supported signals. 🔍 How it does what it says it does 🔍 While the exact calculations remain proprietary, the following outlines how the components synergistically work to aid traders in making informed decisions: Market Strength Assessment: Average Directional Index (ADX) This component is used as confirmation by measuring the strength of the market trend on a scale from 0 to 100. A reading above 20 generally indicates a strong trend, while readings below 20 suggest sideways movement. The Trend Meter flags strong trends, effectively helping traders identify optimal conditions for entering positions. Trend Direction Confirmation: Directional Movement Index (DMI) This component is used as confirmation by distinguishing between bullish and bearish trends by evaluating price movements. This combination allows traders to confirm not only if a trend exists but also its direction, informing whether to buy or sell. Trend Reversal Detection: Exponential Moving Average (EMA) Cross This component is used as confirmation by calculating two EMAs (one shorter and one longer) to identify potential reversal points. When the shorter EMA crosses above the longer EMA, it signals a bullish reversal, and vice versa for bearish reversals. This helps traders pinpoint optimal entry or exit points. Momentum Analysis: Relative Strength Index (RSI) and Stochastic Oscillator These components are used as confirmation by providing insights into momentum. The RSI assesses the speed and change of price movements, indicating overbought or oversold conditions. The Stochastic Oscillator compares a particular closing price to a range of prices over a specified period. This helps identify whether momentum is slowing or speeding up, offering a clear view of potential reversal points. When both the RSI and Stochastic Oscillator converge on signals, it increases the reliability of those signals in trading decisions. Volatility-Based Trend Following: Supertrend This component is used as confirmation by utilizing Average True Range (ATR) calculations to help traders stay in momentum-driven trades by providing dynamic support and resistance levels that adapt to volatility. This enables better risk management while allowing traders to capture stronger trends. Volume Confirmation: Volume Delta This component is used as confirmation by analyzing buying and selling pressure by measuring the difference between buy and sell volumes, offering critical insights into market sentiment. Significant volume behind a price movement increases confidence in the sustainability of that move. 🧠 Pro Tip: When all 7 bars line up in green or red, it’s time to take action: load up for a confirmed move or sit back and wait for market confirmation. Let the Trend Meter guide your strategy with precision. Conclusion: Integrate the 7-Channel Trend Meter as useful confirmation for your TradingView strategy and stop trading like the average retail trader. This tool eliminates the noise and helps you stay focused on high-confidence trades.
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2
Adaptive Fibonacci Pullback System -FibonacciFluxAdaptive Fibonacci Pullback System (AFPS) - FibonacciFlux This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). Original concepts by FibonacciFlux. Abstract The Adaptive Fibonacci Pullback System (AFPS) presents a sophisticated, institutional-grade algorithmic strategy engineered for high-probability trend pullback entries. Developed by FibonacciFlux, AFPS uniquely integrates a proprietary Multi-Fibonacci Supertrend engine (0.618, 1.618, 2.618 ratios) for harmonic volatility assessment, an Adaptive Moving Average (AMA) Channel providing dynamic market context, and a synergistic Multi-Timeframe (MTF) filter suite (RSI, MACD, Volume). This strategy transcends simple indicator combinations through its strict, multi-stage confluence validation logic. Historical simulations suggest that specific MTF filter configurations can yield exceptional performance metrics, potentially achieving Profit Factors exceeding 2.6 , indicative of institutional-level potential, while maintaining controlled risk under realistic trading parameters (managed equity risk, commission, slippage). 4 hourly MTF filtering 1. Introduction: Elevating Pullback Trading with Adaptive Confluence Traditional pullback strategies often struggle with noise, false signals, and adapting to changing market dynamics. AFPS addresses these challenges by introducing a novel framework grounded in Fibonacci principles and adaptive logic. Instead of relying on static levels or single confirmations, AFPS seeks high-probability pullback entries within established trends by validating signals through a rigorous confluence of: Harmonic Volatility Context: Understanding the trend's stability and potential turning points using the unique Multi-Fibonacci Supertrend. Adaptive Market Structure: Assessing the prevailing trend regime via the AMA Channel. Multi-Dimensional Confirmation: Filtering signals with lower-timeframe Momentum (RSI), Trend Alignment (MACD), and Market Conviction (Volume) using the MTF suite. The objective is to achieve superior signal quality and adaptability, moving beyond conventional pullback methodologies. 2. Core Methodology: Synergistic Integration AFPS's effectiveness stems from the engineered synergy between its core components: 2.1. Multi-Fibonacci Supertrend Engine: Utilizes specific Fibonacci ratios (0.618, 1.618, 2.618) applied to ATR, creating a multi-layered volatility envelope potentially resonant with market harmonics. The averaged and EMA-smoothed result (`smoothed_supertrend`) provides a robust, dynamic trend baseline and context filter. // Key Components: Multi-Fibonacci Supertrend & Smoothing average_supertrend = (supertrend1 + supertrend2 + supertrend3) / 3 smoothed_supertrend = ta.ema(average_supertrend, st_smooth_length) 2.2. Adaptive Moving Average (AMA) Channel: Provides dynamic market context. The `ama_midline` serves as a key filter in the entry logic, confirming the broader trend bias relative to adaptive price action. Extended Fibonacci levels derived from the channel width offer potential dynamic S/R zones. // Key Component: AMA Midline ama_midline = (ama_high_band + ama_low_band) / 2 2.3. Multi-Timeframe (MTF) Filter Suite: An optional but powerful validation layer (RSI, MACD, Volume) assessed on a lower timeframe. Acts as a **validation cascade** – signals must pass all enabled filters simultaneously. 2.4. High-Confluence Entry Logic: The core innovation. A pullback entry requires a specific sequence and validation: Price interaction with `average_supertrend` and recovery above/below `smoothed_supertrend`. Price confirmation relative to the `ama_midline`. Simultaneous validation by all enabled MTF filters. // Simplified Long Entry Logic Example (incorporates key elements) long_entry_condition = enable_long_positions and (low < average_supertrend and close > smoothed_supertrend) and // Pullback & Recovery (close > ama_midline and close > ama_midline) and // AMA Confirmation (rsi_filter_long_ok and macd_filter_long_ok and volume_filter_ok) // MTF Validation This strict, multi-stage confluence significantly elevates signal quality compared to simpler pullback approaches. 1hourly filtering 3. Realistic Implementation and Performance Potential AFPS is designed for practical application, incorporating realistic defaults and highlighting performance potential with crucial context: 3.1. Realistic Default Strategy Settings: The script includes responsible default parameters: strategy('Adaptive Fibonacci Pullback System - FibonacciFlux', shorttitle = "AFPS", ..., initial_capital = 10000, // Accessible capital default_qty_type = strategy.percent_of_equity, // Equity-based risk default_qty_value = 4, // Default 4% equity risk per initial trade commission_type = strategy.commission.percent, commission_value = 0.03, // Realistic commission slippage = 2, // Realistic slippage pyramiding = 2 // Limited pyramiding allowed ) Note: The default 4% risk (`default_qty_value = 4`) requires careful user assessment and adjustment based on individual risk tolerance. 3.2. Historical Performance Insights & Institutional Potential: Backtesting provides insights into historical behavior under specific conditions (always specify Asset/Timeframe/Dates when sharing results): Default Performance Example: With defaults, historical tests might show characteristics like Overall PF ~1.38, Max DD ~1.16%, with potential Long/Short performance variance (e.g., Long PF 1.6+, Short PF < 1). Optimized MTF Filter Performance: Crucially, historical simulations demonstrate that meticulous configuration of the MTF filters (particularly RSI and potentially others depending on market) can significantly enhance performance. Under specific, optimized MTF filter settings combined with appropriate risk management (e.g., 7.5% risk), historical tests have indicated the potential to achieve **Profit Factors exceeding 2.6**, alongside controlled drawdowns (e.g., ~1.32%). This level of performance, if consistently achievable (which requires ongoing adaptation), aligns with metrics often sought in institutional trading environments. Disclaimer Reminder: These results are strictly historical simulations. Past performance does not guarantee future results. Achieving high performance requires careful parameter tuning, adaptation to changing markets, and robust risk management. 3.3. Emphasizing Risk Management: Effective use of AFPS mandates active risk management. Utilize the built-in Stop Loss, Take Profit, and Trailing Stop features. The `pyramiding = 2` setting requires particularly diligent oversight. Do not rely solely on default settings. 4. Conclusion: Advancing Trend Pullback Strategies The Adaptive Fibonacci Pullback System (AFPS) offers a sophisticated, theoretically grounded, and highly adaptable framework for identifying and executing high-probability trend pullback trades. Its unique blend of Fibonacci resonance, adaptive context, and multi-dimensional MTF filtering represents a significant advancement over conventional methods. While requiring thoughtful implementation and risk management, AFPS provides discerning traders with a powerful tool potentially capable of achieving institutional-level performance characteristics under optimized conditions. Acknowledgments Developed by FibonacciFlux. Inspired by principles of Fibonacci analysis, adaptive averaging, and multi-timeframe confirmation techniques explored within the trading community. Disclaimer Trading involves substantial risk. AFPS is an analytical tool, not a guarantee of profit. Past performance is not indicative of future results. Market conditions change. Users are solely responsible for their decisions and risk management. Thorough testing is essential. Deploy at your own considered risk.
Pine Script®策略
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