Inizia

Candlestick analysis

Ultimate Poker Bluff Strategy🎲 Ultimate Poker Bluff Strategy (Intraday Trading) This strategy integrates multiple sophisticated concepts into a dynamic intraday trading system designed to identify and capitalize on short-term market inefficiencies (fake pumps and fakeouts). The fake pump indicator can be found here: 📌 Core Concepts & Logic This TradingView (Pine Script) strategy combines: Poker principles: Pot Odds: Ensures a positive risk-reward ratio (at least 2:1). Bluff Detection: Identifies fake pumps or unnatural price movements using arbitrage detection methods relative to a benchmark (e.g., DXY). Blackjack "Forbidden Strategy" principles: Dynamically adjusts the position size based on the profitability of recent trades, scaling up slightly after wins and scaling down after losses. Devil’s Game (Risk Management): Implements strict capital protection rules by capping the maximum allowed position size, safeguarding your capital against rare and extreme market events. ⚙️ Detailed Explanation of Parameters 🎛 Strategy Inputs Basis Risk % per Trade (baseRiskPercent): The baseline percentage of capital risked per trade (default is 1%). TP ATR Multiplier (atrTPMultiplier = 3.0): Defines the profit target as a multiple of the ATR (Average True Range). SL ATR Multiplier (atrSLMultiplier = 0.5): Defines the stop-loss level as a multiple of ATR. A tight SL ensures high Reward/Risk. ATR Length (atrLength = 10): Period for ATR calculation to measure volatility. Max Position per Trade ($) (maxAbsolutePosition): Maximum allowed position size in USD to protect from catastrophic losses (default is $100,000). Fake Pump Scale (k) (k = 0.25): Sensitivity setting for detecting unusual price discrepancies (fake pumps). Benchmark Asset (benchmarkTicker = "DXY"): The asset used as a reference benchmark for arbitrage detection. 📈 Indicators & Calculations Volatility Measurement (ATR) Uses the ATR indicator to set dynamic take-profit and stop-loss levels: Take Profit = current price + (ATR × 3) Stop Loss = current price − (ATR × 0.5) Fake Pump Detection (Arbitrage Indicator) Measures deviations from expected asset price based on a constant relation with a benchmark (e.g., DXY). Generates EMAs (arb_ema_fast and arb_ema_slow) to detect abnormal short-term movements. Defines upper and lower thresholds (arb_threshold) to identify potential fake pumps or unsustainable price spikes. Gamma Stability Check Ensures stable market conditions by confirming that the difference between fast and slow EMAs (arb_ema_fast and arb_ema_slow) remains small. Trades are entered only during stable conditions to avoid high volatility periods. 🔄 Dynamic Blackjack Position Sizing Adjusts position sizing dynamically based on previous trade results: Profitable last trade → Increase risk slightly (up to a cap of 3%). Losing last trade → Reduce risk to 75% of base risk, enhancing capital protection. 🚨 Entry & Exit Logic Long Entry Conditions: Fast EMA crosses above Slow EMA (bullish crossover). Market is stable (gamma_stable condition true). Previous candle indicated a downward fake pump (isFakePumpDown ). Short Entry Conditions: Fast EMA crosses below Slow EMA (bearish crossover). Market is stable (gamma_stable condition true). Previous candle indicated an upward fake pump (isFakePumpUp ). Risk-Reward Validation: Only enters trades when the risk-reward ratio is at least 2:1. 🛡️ Capital Protection (Devil’s Game Principle) Ensures no single trade exceeds the absolute maximum allowable position size, providing protection against rare, catastrophic events. 🖥️ Visual Plots for Analysis Triangles: Visual indications of detected fake pumps: 🔻 Red down arrow: Potential fake upward spike. 🔺 Green up arrow: Potential fake downward spike. 🎯 Strategy Goals & Benefits Identifies high-probability intraday trades using a rigorous probabilistic framework inspired by professional gambling strategies. Limits exposure effectively, scaling position size strategically to capitalize on profitable sequences and minimize the impact of losing streaks. Ensures long-term capital growth with disciplined risk and reward management. This is just an experiment on how to identify fake moves in the market which works especially in lower timeframe. This is not financial advice.
Strategia Pine Script®
di AlgoTrader90
5-Indicator Swing StrategyCustom 5-Indicator Swing Strategy for 4H Chart --- Key Features: 1. Price Uptrend Detection Uses 50-period EMA as trend filter Only takes long positions when price is above EMA 2. RSI Momentum Confirmation RSI must be above 40 and rising (3-bar confirmation) Includes overbought exit at RSI > 70 3. MACD Bullish Crossover Detects when MACD line crosses above signal line Uses standard 12/26/9 settings (customizable) 4. Volume Spike Detection Identifies volume spikes 1.5x above 20-period average Confirms breakout strength 5. Fibonacci Retracement Levels Calculates dynamic Fibonacci levels from recent swing high/low Enters when price is near 38.2% to 61.8% support levels Additional Features: Risk Management: Stop Loss: 2 x ATR below entry price / Take Profit: 3 x ATR above entry price ATR Length: 14 periods Visual Indicators: Clear entry/exit signals with shapes Information Table: Real-time status of all 5 conditions Multi-Panel Display: RSI, MACD, and Volume in separate panels Customizable Parameters: All inputs can be adjusted Alert System: Built-in alerts for entry and exit signals
Strategia Pine Script®
di robert-angel
Variance and Moving Averages StrategyThe Variance and Moving Averages Strategy is a long-only trend-following system that combines volatility filtering with classic moving-average signals. It computes 5-, 15-, and 30-period simple moving averages (MA5, MA15, MA30) to identify a clear uptrend (MA5 > MA15 > MA30) and only enters when recent price variance (measured over the past 30 bars as the variance of (high–low)/close) is very low—avoiding choppy or noisy conditions. Once in a position, it employs a dual exit: a trend-based stop-loss (closing when MA5 falls below MA30) and a volatility-based take-profit (exiting when variance spikes above a high threshold), thus “buying low-volatility breakouts” and “selling on trend reversal or volatility expansion.”
Strategia Pine Script®
di PseudoTrade
Pullback Pro Dow Strategy v7 (ADX Filter) ### **Strategy Description (For TradingView)** #### **Title:** Pullback Pro: Dow Theory & ADX Strategy --- #### **1. Summary** This strategy is designed to identify and trade pullbacks within an established trend, based on the core principles of Dow Theory. It uses market structure (pivot highs and lows) to determine the trend direction and an Exponential Moving Average (EMA) to pinpoint pullback entry opportunities. To enhance trade quality and avoid ranging markets, an ADX (Average Directional Index) filter is integrated to ensure that entries are only taken when the trend has sufficient momentum. --- #### **2. Core Logic: How It Works** The strategy's logic is broken down into three main steps: **Step 1: Trend Determination (Dow Theory)** * The primary trend is identified by analyzing recent pivot points. * An **Uptrend** is confirmed when the script detects a pattern of higher highs and higher lows (HH/HL). * A **Downtrend** is confirmed by a pattern of lower highs and lower lows (LH/LL). * If neither pattern is present, the strategy considers the market to be in a range and will not seek trades. **Step 2: Entry Signal (Pullback to EMA)** * Once a clear trend is established, the strategy waits for a price correction. * **Long Entry:** In a confirmed uptrend, a long position is initiated when the price pulls back and crosses *under* the specified EMA. * **Short Entry:** In a confirmed downtrend, a short position is initiated when the price rallies and crosses *over* the EMA. **Step 3: Confirmation & Risk Management** * **ADX Filter:** To ensure the trend is strong enough to trade, an entry signal is only validated if the ADX value is above a user-defined threshold (e.g., 25). This helps filter out weak signals during choppy or consolidating markets. * **Stop Loss:** The initial Stop Loss is automatically and logically placed at the last market structure point: * For long trades, it's placed at the `lastPivotLow`. * For short trades, it's placed at the `lastPivotHigh`. * **Take Profit:** Two Take Profit levels are calculated based on user-defined Risk-to-Reward (R:R) ratios. The strategy allows for partial profit-taking at the first target (TP1), moving the remainder of the position to the second target (TP2). --- #### **3. Input Settings Explained** **① Dow Theory Settings** * **Pivot Lookback Period:** Determines the sensitivity for detecting pivot highs and lows. A smaller number makes it more sensitive to recent price swings; a larger number focuses on more significant, longer-term pivots. **② Entry Logic (Pullback)** * **Pullback EMA Length:** Sets the period for the Exponential Moving Average used to identify pullback entries. **③ Risk & Exit Management** * **Take Profit 1 R:R:** Sets the Risk-to-Reward ratio for the first take-profit target. * **Take Profit 1 (%):** The percentage of the position to be closed when TP1 is hit. * **Take Profit 2 R:R:** Sets the Risk-to-Reward ratio for the final take-profit target. **④ Filters** * **Use ADX Trend Filter:** A master switch to enable or disable the ADX filter. * **ADX Length:** The lookback period for the ADX calculation. * **ADX Threshold:** The minimum ADX value required to confirm a trade signal. Trades will only be placed if the ADX is above this level. --- #### **4. Best Practices & Recommendations** * This is a trend-following system. It is designed to perform best in markets that exhibit clear, sustained trending behavior. * It may underperform in choppy, sideways, or strongly ranging markets. The ADX filter is designed to help mitigate this, but no filter is perfect. * **Crucially, you must backtest this strategy thoroughly** on your preferred financial instrument and timeframe before considering any live application. * Experiment with the `Pivot Lookback Period`, `Pullback EMA Length`, and `ADX Threshold` to optimize performance for a specific market's characteristics. --- #### **DISCLAIMER** This script is provided for educational and informational purposes only. It does not constitute financial advice. All trading involves a high level of risk, and past performance is not indicative of future results. You are solely responsible for your own trading decisions. The author assumes no liability for any financial losses you may incur from using this strategy. Always conduct your own research and due diligence.
Strategia Pine Script®
di Salaryman_G
ErgunFX Prime 2.5 | RR 1:2.5🚀 Join our official Telegram group for live trade setups and strategy updates: 👉 t.me 🔍 Strategy Name: ErgunFX Prime 📈 Timeframe: H4 🎯 Focus: High-precision Smart Money strategy ✅ Built for traders who want 3–5 high-probability trades per week with strong asymmetric RR. Core Confirmations: • Multi-timeframe market structure alignment (Daily + Weekly) • EMA50 trend direction • Orderblock-based AOI (Area of Interest) • Break & Retest entries with Engulfing or Morning Star confirmation • London & New York session filtering • 1:2.5 Risk-Reward model 📊 Optimized for both Forex and major cryptocurrencies 📈 Backtested with high win rate and quality signal filtering
Strategia Pine Script®
di contentAnalyst44033
High Freq Buy The Dips Bull Market [Quant Trading]STRATEGY OVERVIEW This is a significantly enhanced and optimized version of the original "Buy The Dips in Bull Market" strategy from Coinrule (2020). The strategy has been completely rewritten in Pine Script v6 with substantial improvements in performance, risk management, and functionality. Based on extensive analysis of 2+ years of BTC hourly data, this optimized version delivers 312.6% better returns with a 74.8% win rate compared to the original implementation. Key Philosophy: The strategy capitalizes on temporary price dips during bull market conditions by entering long positions when RSI indicates oversold conditions while maintaining a bullish market structure, then exiting when price recovers above key moving averages. HOW IT WORKS Entry Logic The strategy enters long positions when ALL of the following conditions are met: RSI Oversold Condition: RSI drops below the configurable threshold (default: 45) Bull Market Structure: Long-term MA (150) is below the slow MA (40), indicating overall bullish momentum Within Date Range: Trade occurs within the specified backtesting period Exit Logic Positions are closed when BOTH conditions are satisfied: Price Recovery: Current price moves above the fast MA (15-period) MA Alignment: Fast MA crosses above slow MA, confirming trend continuation Optional Short Trading When enabled, the strategy can also trade short positions using inverse logic: Short Entry: RSI overbought (above 55 by default) + bearish market structure Short Exit: Price decline below fast MA + bearish MA alignment KEY IMPROVEMENTS OVER ORIGINAL 1. Enhanced Risk Management ATR-Based Stop Loss/Take Profit: Dynamic risk levels based on market volatility Configurable Risk-Reward Ratio: Default 2:1 ratio with full customization Alternative Percentage-Based Risk: Option to use fixed percentage stops instead of ATR 2. Optimized Parameters RSI Period: Increased to 14 (from original) for more reliable signals RSI Buy Signal: Optimized to 45 (from 35) reducing false signals Fast MA: Shortened to 15 periods (from 9) for quicker response Slow MA: Reduced to 40 periods (from 50) for improved trend detection Long MA: Reduced to 150 periods (from 200) for better bull market identification 3. Advanced Features Bi-directional Trading: Optional short selling capability Comprehensive Visualization: Enhanced plotting with risk level displays Flexible Date Range: Improved backtesting controls with visual indicators Modern Pine Script v6: Complete rewrite using latest Pine Script features DEFAULT PARAMETERS EXPLAINED RSI Settings RSI Period: 14 bars - Standard period providing balanced sensitivity RSI Buy Signal: 45 - Optimized threshold for bull market dip buying Moving Average Settings Fast MA Length: 15 - Quick-response average for exit signals Slow MA Length: 40 - Medium-term trend confirmation Long MA Length: 150 - Long-term bull market structure identification Risk Management (ATR-Based) ATR Period: 14 - Standard volatility measurement period ATR Stop Loss Multiplier: 2.0 - Conservative stop loss distance Risk Reward Ratio: 2.0 - Take profit at 2x the risk amount Alternative Risk Management (Percentage-Based) Stop Loss: 5% - Fixed percentage stop loss Take Profit: 10% - Fixed percentage take profit target Trading Configuration Initial Capital: $1,000 Position Size: 100% of equity per trade Commission: 0.1% per trade Slippage: 3 ticks STRATEGY PERFORMANCE CHARACTERISTICS Strengths High Win Rate: 74.8% successful trades based on optimization analysis Bull Market Focused: Designed specifically for uptrending market conditions Volatility Adaptive: ATR-based risk management adjusts to market conditions False Signal Reduction: Optimized parameters minimize whipsaws Considerations Bull Market Dependency: Performance may decline in prolonged bear markets Trend Following Nature: May experience drawdowns during strong trend reversals High Frequency: Generates multiple signals requiring active monitoring RISK WARNINGS Past performance does not guarantee future results. This strategy is optimized for bull market conditions and performance may vary significantly in different market environments. Always use appropriate position sizing and risk management. Real trading results may differ due to execution costs, slippage, and market conditions. RECOMMENDED USAGE Optimal Market Conditions Bull market or strong uptrending conditions Medium to high volatility environments Markets with clear trend structure Timeframes Optimized for hourly charts Can be adapted for other timeframes with parameter adjustment Asset Classes Originally optimized for Bitcoin Suitable for other trending cryptocurrencies and traditional assets Test parameters on specific assets before live implementation TECHNICAL REQUIREMENTS Pine Script Version: v6 Strategy Type: Long/Short (configurable) Overlay: Yes - plots directly on price chart Real-time Alerts: Compatible with TradingView alert system This strategy represents a substantial evolution of the original concept, incorporating modern risk management techniques, optimized parameters based on extensive backtesting, and enhanced functionality while maintaining the core "buy the dips" philosophy that made the original strategy popular.
Strategia Pine Script®
di Quant_Trading_Pro
Break & Retest Strategy V2 (Clean Visuals)This strategy is built on a high-probability EMA breakout and retest model, designed for traders who want clean structure-based entries filtered by trend alignment and strong price action. It leverages: • ✅ A 44 EMA trend filter on the 4H chart • ✅ HTF directional bias from the Daily 44 EMA • ✅ Breakout above the EMA followed by a wick-based retest • ✅ Strong bullish candle confirmation (body > 50% of range) • ✅ Dynamic stop loss using either the pivot low or a buffer below the EMA • ✅ Fixed 1:3 Risk:Reward ratio for consistent reward targeting • ✅ Cooldown system to prevent overtrading • ✅ Clean, minimal visuals using smart RR boxes instead of chart clutter This system is fully backtestable and designed with prop firm challenge criteria in mind — prioritizing risk control, clarity, and high-quality trade conditions. ⸻ 🔧 Current Development Goals (V3 Roadmap) We’re actively refining the system to improve win rate and profit factor, while keeping drawdown low. Key upgrades in progress: 1. 📈 Liquidity Trap Filter • Add logic to confirm a wick below recent lows (liquidity sweep) before retesting the EMA 2. 🧠 Partial Take Profits + Breakeven Logic • TP1 at 1.5R → move SL to breakeven • TP2 at 3R → close remaining position 3. 🔁 Trade Session Filter • Limit entries to London & New York AM sessions to avoid false signals in low volume periods 4. 📉 Short Entry Engine • Mirror logic for bearish break + retest setups below the EMA 5. 🔔 Live Alerts System • Entry signal alerts for hands-free, real-time trading decisions 6. 📊 Optimizer Toolkit (future) • Add ATR/volatility filters • Add market structure confluence zones (HH/HL filters) • Smart cooldown timer based on wins/losses or volatility shifts
Strategia Pine Script®
di InfinityFXSociety
1
That Awesome StrategyThis is of course a work in progress. I really would like feedback. I designed this specifically for the S&P 500, specifically ES1!, and have not tested on any other charts. I am not responsible for any losses you may incur by using this strategy. This strategy is based in parts on MACD calculations, the momentum indicator i created, and a pair of dual offset identical moving averages, along with other tweaks. It has a SL/TP function based on ticks. It has several options for moving average types for the main moving averages, the MACD moving averages, and the momentum indicator moving average. Many combinations. Since I am using a CME futures product for trading, this strategy automatically closes all trades at 2pm and disallows any trading until 4pm. I will update this with an adjustable time slot for this market closure time soon so that it will fit your timezone. Pine Script version 6.
Strategia Pine Script®
di gulfyankee
Relative Volume Strategy📈 Relative Volume Strategy by GabrielAmadeusLau This Pine Script strategy combines volume-based momentum analysis with price action filtering, breakout detection, and dynamic stop-loss/take-profit logic, allowing for highly adaptable long and short entries. It is particularly suited for traders looking to identify reversals or continuation setups based on relative volume spikes and candle behavior. 🧠 Core Concept At its core, this strategy uses a Relative Volume %R oscillator, comparing the current volume to its historical range using a Williams %R-like calculation. The oscillator is paired with dual moving average filters (Fast & Slow) to identify when volume is expanding or contracting. Entries are further refined using a configurable price action filter based on the structure of bullish or bearish candles: Simple: Basic up/down bar Filtered: Range-based strength confirmation Aggressive: Momentum-based breakout Inside: Reversal bar patterns Combinations of the above can be toggled for both long and short entries. ⚙️ Configurable Features Trade Direction Control: Choose between Long Only, Short Only, or Both. Directional Bar Modes: Set different conditions for long and short bar types (Simple, Filtered, Aggressive, Inside). Breakout Filter: Optional filter to exclude trades near 5-bar highs/lows to avoid poor R/R trades. Stop Loss & Take Profit System: ATR-based dynamic SL/TP. Configurable multipliers for both SL and TP. Timed Exit: Optional bar-based exit after a fixed number of candles. Custom Volume MA Smoothing: Choose from various smoothing algorithms (SMA, EMA, JMA, T3, Super Smoother, etc.) for both fast and slow volume trends. Relative Volume Threshold: Minimum %R level for trade filtering. 📊 Technical Indicators Used Relative Volume %R: A modified version of Williams %R, calculated on volume. Dual Volume MAs: Fast and Slow MAs for volume trends using user-selected smoothing. ATR: Average True Range for dynamic SL/TP calculation. Breakout High/Low: 5-bar breakout thresholds to avoid late entries. 🚀 Trade Logic Long Entry: Volume > Fast MA > Slow MA Relative Volume %R > Threshold Price passes long directional filter Optional: below recent breakout high Short Entry: Volume < Fast MA < Slow MA Relative Volume %R < 100 - Threshold Price passes short directional filter Optional: above recent breakout low Exits: After N bars (configurable) ATR-based Stop Loss / Take Profit if enabled 📈 Visualization Orange Columns: Relative Volume %R Green Line: Fast Volume MA Red Line: Slow Volume MA 💡 Use Case Ideal for: Reversal traders catching capitulation or accumulation spikes Momentum traders looking for volume-confirmed trends Quantitative strategy developers wanting modular MA and price action filter logic Intraday scalpers or swing traders using relative volume dynamics Created by: GabrielAmadeusLau License: Mozilla Public License 2.0 🔗 mozilla.org
Strategia Pine Script®
di GabrielAmadeusLau
Multi-Confluence Swing Hunter V1# Multi-Confluence Swing Hunter V1 - Complete Description Overview The Multi-Confluence Swing Hunter V1 is a sophisticated low timeframe scalping strategy specifically optimized for MSTR (MicroStrategy) trading. This strategy employs a comprehensive point-based scoring system that combines optimized technical indicators, price action analysis, and reversal pattern recognition to generate precise trading signals on lower timeframes. Performance Highlight: In backtesting on MSTR 5-minute charts, this strategy has demonstrated over 200% profit performance, showcasing its effectiveness in capturing rapid price movements and volatility patterns unique to MicroStrategy's trading behavior. The strategy's parameters have been fine-tuned for MSTR's unique volatility characteristics, though they can be optimized for other high-volatility instruments as well. ## Key Innovation & Originality This strategy introduces a unique **dual scoring system** approach: - **Entry Scoring**: Identifies swing bottoms using 13+ different technical criteria - **Exit Scoring**: Identifies swing tops using inverse criteria for optimal exit timing Unlike traditional strategies that rely on simple indicator crossovers, this system quantifies market conditions through a weighted scoring mechanism, providing objective, data-driven entry and exit decisions. ## Technical Foundation ### Optimized Indicator Parameters The strategy utilizes extensively backtested parameters specifically optimized for MSTR's volatility patterns: **MACD Configuration (3,10,3)**: - Fast EMA: 3 periods (vs standard 12) - Slow EMA: 10 periods (vs standard 26) - Signal Line: 3 periods (vs standard 9) - **Rationale**: These faster parameters provide earlier signal detection while maintaining reliability, particularly effective for MSTR's rapid price movements and high-frequency volatility **RSI Configuration (21-period)**: - Length: 21 periods (vs standard 14) - Oversold: 30 level - Extreme Oversold: 25 level - **Rationale**: The 21-period RSI reduces false signals while still capturing oversold conditions effectively in MSTR's volatile environment **Parameter Adaptability**: While optimized for MSTR, these parameters can be adjusted for other high-volatility instruments. Faster-moving stocks may benefit from even shorter MACD periods, while less volatile assets might require longer periods for optimal performance. ### Scoring System Methodology **Entry Score Components (Minimum 13 points required)**: 1. **RSI Signals** (max 5 points): - RSI < 30: +2 points - RSI < 25: +2 points - RSI turning up: +1 point 2. **MACD Signals** (max 8 points): - MACD below zero: +1 point - MACD turning up: +2 points - MACD histogram improving: +2 points - MACD bullish divergence: +3 points 3. **Price Action** (max 4 points): - Long lower wick (>50%): +2 points - Small body (<30%): +1 point - Bullish close: +1 point 4. **Pattern Recognition** (max 8 points): - RSI bullish divergence: +4 points - Quick recovery pattern: +2 points - Reversal confirmation: +4 points **Exit Score Components (Minimum 13 points required)**: Uses inverse criteria to identify swing tops with similar weighting system. ## Risk Management Features ### Position Sizing & Risk Control - **Single Position Strategy**: 100% equity allocation per trade - **No Overlapping Positions**: Ensures focused risk management - **Configurable Risk/Reward**: Default 5:1 ratio optimized for volatile assets ### Stop Loss & Take Profit Logic - **Dynamic Stop Loss**: Based on recent swing lows with configurable buffer - **Risk-Based Take Profit**: Calculated using risk/reward ratio - **Clean Exit Logic**: Prevents conflicting signals ## Default Settings Optimization ### Key Parameters (Optimized for MSTR/Bitcoin-style volatility): - **Minimum Entry Score**: 13 (ensures high-conviction entries) - **Minimum Exit Score**: 13 (prevents premature exits) - **Risk/Reward Ratio**: 5.0 (accounts for volatility) - **Lower Wick Threshold**: 50% (identifies true hammer patterns) - **Divergence Lookback**: 8 bars (optimal for swing timeframes) ### Why These Defaults Work for MSTR: 1. **Higher Score Thresholds**: MSTR's volatility requires more confirmation 2. **5:1 Risk/Reward**: Compensates for wider stops needed in volatile markets 3. **Faster MACD**: Captures momentum shifts quickly in fast-moving stocks 4. **21-period RSI**: Reduces noise while maintaining sensitivity ## Visual Features ### Score Display System - **Green Labels**: Entry scores ≥10 points (below bars) - **Red Labels**: Exit scores ≥10 points (above bars) - **Large Triangles**: Actual trade entries/exits - **Small Triangles**: Reversal pattern confirmations ### Chart Cleanliness - Indicators plotted in separate panes (MACD, RSI) - TP/SL levels shown only during active positions - Clear trade markers distinguish signals from actual trades ## Backtesting Specifications ### Realistic Trading Conditions - **Commission**: 0.1% per trade - **Slippage**: 3 points - **Initial Capital**: $1,000 - **Account Type**: Cash (no margin) ### Sample Size Considerations - Strategy designed for 100+ trade sample sizes - Recommended timeframes: 4H, 1D for swing trading - Optimal for trending/volatile markets ## Strategy Limitations & Considerations ### Market Conditions - **Best Performance**: Trending markets with clear swings - **Reduced Effectiveness**: Highly choppy, sideways markets - **Volatility Dependency**: Optimized for moderate to high volatility assets ### Risk Warnings - **High Allocation**: 100% position sizing increases risk - **No Diversification**: Single position strategy - **Backtesting Limitation**: Past performance doesn't guarantee future results ## Usage Guidelines ### Recommended Assets & Timeframes - **Primary Target**: MSTR (MicroStrategy) - 5min to 15min timeframes - **Secondary Targets**: High-volatility stocks (TSLA, NVDA, COIN, etc.) - **Crypto Markets**: Bitcoin, Ethereum (with parameter adjustments) - **Timeframe Optimization**: 1min-15min for scalping, 30min-1H for swing scalping ### Timeframe Recommendations - **Primary Scalping**: 5-minute and 15-minute charts - **Active Monitoring**: 1-minute for precise entries - **Swing Scalping**: 30-minute to 1-hour timeframes - **Avoid**: Sub-1-minute (excessive noise) and above 4-hour (reduces scalping opportunities) ## Technical Requirements - **Pine Script Version**: v6 - **Overlay**: Yes (plots on price chart) - **Additional Panes**: MACD and RSI indicators - **Real-time Compatibility**: Confirmed bar signals only ## Customization Options All parameters are fully customizable through inputs: - Indicator lengths and levels - Scoring thresholds - Risk management settings - Visual display preferences - Date range filtering ## Conclusion This scalping strategy represents a comprehensive approach to low timeframe trading that combines multiple technical analysis methods into a cohesive, quantified system specifically optimized for MSTR's unique volatility characteristics. The optimized parameters and scoring methodology provide a systematic way to identify high-probability scalping setups while managing risk effectively in fast-moving markets. The strategy's strength lies in its objective, multi-criteria approach that removes emotional decision-making from scalping while maintaining the flexibility to adapt to different instruments through parameter optimization. While designed for MSTR, the underlying methodology can be fine-tuned for other high-volatility assets across various markets. **Important Disclaimer**: This strategy is designed for experienced scalpers and is optimized for MSTR trading. The high-frequency nature of scalping involves significant risk. Past performance does not guarantee future results. Always conduct your own analysis, consider your risk tolerance, and be aware of commission/slippage costs that can significantly impact scalping profitability.
Strategia Pine Script®
di Quant_Trading_Pro
3
Aftershock Playbook: Stock Earnings Drift EngineStrategy type Event-driven post-earnings momentum engine (long/short) built for single-stock charts or ADRs that publish quarterly results. What it does Detects the exact earnings bar (request.earnings, lookahead_off). Scores the surprise and launches a position on that candle’s close. Tracks PnL: if the first leg closes green, the engine automatically re-enters on the very next bar, milking residual drift. Blocks mid-cycle trades after a loss until the next earnings release—keeping the risk contained to one cycle. Think of it as a sniper that fires on the earnings pop, reloads once if the shot lands, then goes silent until the next report. Core signal inputs Component Default Purpose EPS Surprise % +0 % / –5 % Minimum positive / negative shock to trigger longs/shorts. Reverse signals? Off Quick flip for mean-reversion experiments. Time Risk Mgt. Off Optional hard exit after 45 calendar days (auto-scaled to any TF). Risk engine ATR-based stop (ATR × 2 by default, editable). Bar time stop (15-min → Daily: Have to select the bar value ). No pyramiding beyond the built-in “double-tap”. All positions sized as % of equity via Strategy Properties. Visual aids Yellow triangle marks the earnings bar. Diagnostics table (top-right) shows last Actual, Estimate, and Surprise %. Status-line tool-tips on every input. Default inputs Setting Value Positive surprise ≥ 0 % Negative surprise ≤ –5 % ATR stop × 2 ATR length 50 Hold horizon 350 ( 1h timeframe chart bars) Back-test properties Initial capital  10 000 Order size    5 % of equity Pyramiding    1 (internal re-entry only) Commission   0.03 % Slippage     5 ticks Fills      Bar magnifier ✔ · On bar close ✔ · Standard OHLC ✔ How to use Add the script to any earnings-driven stock (AAPL, MSFT, TSLA…). Turn on Time Risk Management if you want stricter risk management Back-test different ATR multipliers to fit the stock’s volatility. Sync commission & slippage with your broker before forward-testing. Important notes Works on every timeframe from 15 min to 1 D. Sweet spot around 30min/1h All request.earnings() & request.security() calls use lookahead_off—zero repaint. The “double-tap” re-entry occurs once per winning cycle to avoid drift-chasing loops. Historical stats ≠ future performance. Size positions responsibly.
Strategia Pine Script®
di exlux
Quantum Reversal# 🧠 Quantum Reversal ## **Quantitative Mean Reversion Framework** This algorithmic trading system employs **statistical mean reversion theory** combined with **adaptive volatility modeling** to capitalize on Bitcoin's inherent price oscillations around its statistical mean. The strategy integrates multiple technical indicators through a **multi-layered signal processing architecture**. --- ## ⚡ **Core Technical Architecture** ### 📊 **Statistical Foundation** - **Bollinger Band Mean Reversion Model**: Utilizes 20-period moving average with 2.2 standard deviation bands for volatility-adjusted entry signals - **Adaptive Volatility Threshold**: Dynamic standard deviation multiplier accounts for Bitcoin's heteroscedastic volatility patterns - **Price Action Confluence**: Entry triggered when price breaches lower volatility band, indicating statistical oversold conditions ### 🔬 **Momentum Analysis Layer** - **RSI Oscillator Integration**: 14-period Relative Strength Index with modified oversold threshold at 45 - **Signal Smoothing Algorithm**: 5-period simple moving average applied to RSI reduces noise and false signals - **Momentum Divergence Detection**: Captures mean reversion opportunities when momentum indicators show oversold readings ### ⚙️ **Entry Logic Architecture** ``` Entry Condition = (Price ≤ Lower_BB) OR (Smoothed_RSI < 45) ``` - **Dual-Condition Framework**: Either statistical price deviation OR momentum oversold condition triggers entry - **Boolean Logic Gate**: OR-based entry system increases signal frequency while maintaining statistical validity - **Position Sizing**: Fixed 10% equity allocation per trade for consistent risk exposure ### 🎯 **Exit Strategy Optimization** - **Profit-Lock Mechanism**: Positions only closed when showing positive unrealized P&L - **Trend Continuation Logic**: Allows winning trades to run until momentum exhaustion - **Dynamic Exit Timing**: No fixed profit targets - exits based on profitability state rather than arbitrary levels --- ## 📈 **Statistical Properties** ### **Risk Management Framework** - **Long-Only Exposure**: Eliminates short-squeeze risk inherent in cryptocurrency markets - **Mean Reversion Bias**: Exploits Bitcoin's tendency to revert to statistical mean after extreme moves - **Position Management**: Single position limit prevents over-leveraging ### **Signal Processing Characteristics** - **Noise Reduction**: SMA smoothing on RSI eliminates high-frequency oscillations - **Volatility Adaptation**: Bollinger Bands automatically adjust to changing market volatility - **Multi-Timeframe Coherence**: Indicators operate on consistent timeframe for signal alignment --- ## 🔧 **Parameter Configuration** | Technical Parameter | Value | Statistical Significance | |-------------------|-------|-------------------------| | Bollinger Period | 20 | Standard statistical lookback for volatility calculation | | Std Dev Multiplier | 2.2 | Optimized for Bitcoin's volatility distribution (95.4% confidence interval) | | RSI Period | 14 | Traditional momentum oscillator period | | RSI Threshold | 45 | Modified oversold level accounting for Bitcoin's momentum characteristics | | Smoothing Period | 5 | Noise reduction filter for momentum signals | --- ## 📊 **Algorithmic Advantages** ✅ **Statistical Edge**: Exploits documented mean reversion tendency in Bitcoin markets ✅ **Volatility Adaptation**: Dynamic bands adjust to changing market conditions ✅ **Signal Confluence**: Multiple indicator confirmation reduces false positives ✅ **Momentum Integration**: RSI smoothing improves signal quality and timing ✅ **Risk-Controlled Exposure**: Systematic position sizing and long-only bias --- ## 🔬 **Mathematical Foundation** The strategy leverages **Bollinger Band theory** (developed by John Bollinger) which assumes that prices tend to revert to the mean after extreme deviations. The RSI component adds **momentum confirmation** to the statistical price deviation signal. **Statistical Basis:** - Mean reversion follows the principle that extreme price deviations from the moving average are temporary - The 2.2 standard deviation multiplier captures approximately 97.2% of price movements under normal distribution - RSI momentum smoothing reduces noise inherent in oscillator calculations --- ## ⚠️ **Risk Considerations** This algorithm is designed for traders with understanding of **quantitative finance principles** and **cryptocurrency market dynamics**. The strategy assumes mean-reverting behavior which may not persist during trending market phases. Proper risk management and position sizing are essential. --- ## 🎯 **Implementation Notes** - **Market Regime Awareness**: Most effective in ranging/consolidating markets - **Volatility Sensitivity**: Performance may vary during extreme volatility events - **Backtesting Recommended**: Historical performance analysis advised before live implementation - **Capital Allocation**: 10% per trade sizing assumes diversified portfolio approach --- **Engineered for quantitative traders seeking systematic mean reversion exposure in Bitcoin markets through statistically-grounded technical analysis.**
Strategia Pine Script®
di ArganaBridgeCapital
6
Canuck Trading Trader StrategyCanuck Trading Trader Strategy Overview The Canuck Trading Trader Strategy is a high-performance, trend-following trading system designed for NASDAQ:TSLA on a 15-minute timeframe. Optimized for precision and profitability, this strategy leverages short-term price trends to capture consistent gains while maintaining robust risk management. Ideal for traders seeking an automated, data-driven approach to trading Tesla’s volatile market, it delivers strong returns with controlled drawdowns. Key Features Trend-Based Entries: Identifies short-term trends using a 2-candle lookback period and a minimum trend strength of 0.2%, ensuring responsive trade signals. Risk Management: Includes a configurable 3.0% stop-loss to cap losses and a 2.0% take-profit to lock in gains, balancing risk and reward. High Precision: Utilizes bar magnification for accurate backtesting, reflecting realistic trade execution with 1-tick slippage and 0.1 commission. Clean Interface: No on-chart indicators, providing a distraction-free trading experience focused on performance. Flexible Sizing: Allocates 10% of equity per trade with support for up to 2 simultaneous positions (pyramiding). Performance Highlights Backtested from March 1, 2024, to June 20, 2025, on NASDAQ:TSLA (15-minute timeframe) with $1,000,000 initial capital: Net Profit: $2,279,888.08 (227.99%) Win Rate: 52.94% (3,039 winning trades out of 5,741) Profit Factor: 3.495 Max Drawdown: 2.20% Average Winning Trade: $1,050.91 (0.55%) Average Losing Trade: $338.20 (0.18%) Sharpe Ratio: 2.468 Note: Past performance is not indicative of future results. Always validate with your own backtesting and forward testing. Usage Instructions Setup: Apply the strategy to a NASDAQ:TSLA 15-minute chart. Ensure your TradingView account supports bar magnification for accurate results. Configuration: Lookback Candles: Default is 2 (recommended). Min Trend Strength: Set to 0.2% for optimal trade frequency. Stop Loss: Default 3.0% to cap losses. Take Profit: Default 2.0% to secure gains. Order Size: 10% of equity per trade. Pyramiding: Allows up to 2 orders. Commission: Set to 0.1. Slippage: Set to 1 tick. Enable "Recalculate After Order is Filled" and "Recalculate on Every Tick" in backtest settings. Backtesting: Run backtests over March 1, 2024, to June 20, 2025, to verify performance. Adjust stop-loss (e.g., 2.5%) or take-profit (e.g., 1–3%) to suit your risk tolerance. Live Trading: Use with a compatible broker or TradingView alerts for automated execution. Monitor execution for slippage or latency, especially given the high trade frequency (5,741 trades). Validate in a demo account before deploying with real capital. Risk Disclosure Trading involves significant risk and may result in losses exceeding your initial capital. The Canuck Trading Trader Strategy is provided for educational and informational purposes only. Users are responsible for their own trading decisions and should conduct thorough testing before using in live markets. The strategy’s high trade frequency requires reliable execution infrastructure to minimize slippage and latency.
Strategia Pine Script®
di ctoincanada
2