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Renko UT Bot Strategy v6 - ADX FilterDescription: This script implements a Renko-based trailing stop strategy using the UT Bot method, now enhanced with an optional ADX and DI+/- filter to help avoid choppy, low-momentum market conditions. Trades are triggered only when price and EMA cross the adaptive trailing stop and ADX/DI conditions are also met. USE: Start the indicator on a Renko chart and optimize settings for prefered choosen chart Key Features: Adaptive ATR trailing stop based on Renko logic EMA/Trailing Stop crossovers for entries Adjustable ADX and DI+/- filter (no signals if conditions aren’t met) Visual stop line and trade labels on the chart Customizable inputs for ATR, EMA, and filter levels Disclaimer: This strategy is provided for educational and research purposes only. It has not been tested in live trading or with real money. The past performance of this script does not guarantee future results. Trading involves substantial risk, and you can lose all or more of your investment. Before considering any real-money use, please test the strategy thoroughly on a demo account or in TradingView’s paper trading environment. This script is not financial advice. Consult with a licensed financial advisor before making trading decisions. Author PDK1977
Pine Script® stratejisi
PDK1977 tarafından
Improved Breakout-Retest Strategy (5M Entry)This strategy combines the strength of a higher timeframe structure with precision 5-minute entries. It identifies consolidation zones on the 4H chart, waits for a strong breakout in the direction of the trend, and then enters on a retest confirmed by an engulfing candle on the 5-minute timeframe. A 200 EMA filter ensures trades align with the dominant trend, while a strict 1:3 risk-to-reward ratio maximizes profitability. It's designed to reduce false breakouts and optimize small account growth with tight stop losses and high probability setups during active trading hours.
Pine Script® stratejisi
Muzz_Kazi tarafından
Supertrend AT v1.0📌 Supertrend AT v1.0 — Strategy Overview Overview Supertrend AT v1.0 is a fully automated trading strategy based on the Supertrend indicator. It identifies trend reversals and places long or short entries accordingly, with built-in position sizing, stop-loss/take-profit management, and commission-aware calculations. 🚀 Key Features ✅ Entry Signals Based on Trend Reversals Long entry when Supertrend changes from downtrend to uptrend Short entry when Supertrend changes from uptrend to downtrend ✅ Risk-Based Position Sizing Calculates position size so that a stop-loss only risks a fixed percentage (RPT) of total capital ✅ Reward/Risk Ratio-Based Target Price Calculation Take-profit price is computed not by price difference, but by actual loss and desired reward-to-risk (RR) ratio ✅ Fully Commission-Aware Commission is factored into entry, stop-loss, and take-profit price calculations Ensure commission settings match in both the input panel and the strategy properties tab ✅ Dual Language Support Switch between English and Korean interface ✅ Visual Trade Levels & Info Display Entry, stop, and target prices plotted on the chart Real-time open PnL and equity shown in an on-screen table ⚙️ How to Use Apply Strategy to Chart Load the strategy and configure the following parameters in both the Input tab and the Properties tab: Commission rate (e.g., 0.05%) Market decimal precision (e.g., 4 for 0.0001) Adjust Entry Parameters RPT: Risk per trade as a percentage of your total equity (e.g., 2%) RR: Reward-to-risk ratio (e.g., 3 = target profit is 3× the potential loss) Choose whether to allow Long or Short trades For Auto-Trading Integration Make sure the minimum order size is valid for your exchange If the calculated quantity is below the exchange's minimum unit, it may result in errors ⚠️ Important Notes ❗ Non-Repainting — Supertrend is based on confirmed candles and does not repaint ❗ Backtest-Only — The strategy is for signal generation only and does not execute real trades without external automation ❗ Margin-Based Calculations — Default settings assume margin trading; adjust accordingly 📄 License & Disclaimer This strategy is licensed under the Mozilla Public License 2.0. This script is not financial advice. Use at your own risk. Always test thoroughly with backtesting and paper trading before using in live markets.
Pine Script® stratejisi
TradingFactory_ tarafından
YTPBTC1HATRSSADXTitle: High-Precision Breakout ATR Trailing Strategy with ADX Filtering for BTC 1H Description: YTPBTC1HATRSSADX is a precision-engineered 1-hour BTC breakout strategy utilizing adaptive ATR-based stop systems and optional ADX filtering to enhance trade quality and dynamic risk management. The system enters positions upon confirmed breakouts above/below N-period highs/lows, while aligning with trend conditions determined by a long-term RMA filter. Key features: ✅ Adaptive ATR stop management with dual-phase logic: initial stop placement followed by dynamic trailing after reaching profit thresholds. ✅ Optional ADX filtering to confirm directional strength before entry, reducing false signals during choppy markets. ✅ Dynamic pullback-based take-profit system, locking in profits during high volatility conditions without sacrificing upside potential. ✅ Clear on-chart visualization of entry levels, ATR stops, breakout levels, and trend background color for intuitive monitoring. ✅ Fully parameterized for ATR period, multiplier, breakout period, RMA trend period, ADX threshold, and pullback settings to adjust according to market conditions. This strategy is designed for traders seeking robust trend-following breakout entries while systematically managing risk with ATR and maximizing profit potential through trailing and pullback exit logic. Ideal for BTC perpetual futures and margin trading environments requiring disciplined execution. Test on BTCUSDTPERP 1H to explore its consistency across different volatility regimes, and adjust parameters to align with your risk appetite and capital allocation strategies.
Pine Script® stratejisi
gakuchuuwa tarafından
Random Coin Toss Strategy📌 Overview This strategy is a probability-based trading simulation that randomly decides trade direction using a coin-toss mechanism and executes trades with a customizable risk-reward ratio. It's designed primarily for testing entry frequency and risk dynamics, not predictive accuracy. 🎯 Core Concept Every N bars (configurable), the strategy performs a pseudo-random coin toss. Based on the result: If heads → Buy If tails → Sell Once a position is opened, it sets a Stop-Loss (SL) and Take-Profit (TP) based on a multiple of the current ATR (Average True Range) value. ⚙️ Configurable Inputs ATR Length Period for ATR calculation, determines volatility basis. SL Multiplier SL distance = ATR × multiplier (e.g., 1.0 means 1x ATR) . TP Multiplier TP distance = ATR × multiplier (e.g., 2.0 = 2x ATR) . Entry Frequency Bars to wait between each new coin toss decision. Show TP/SL Zones Toggle on/off for drawing visual TP and SL zones. Box Size Number of bars used to define the width of the TP/SL boxes. 🔁 Entry & Exit Logic Entry: Happens only when no current position exists and it's the correct bar interval. Entry direction is randomly decided. Exit: Positions exit at either: Take-Profit (TP) level Stop-Loss (SL) level Both are calculated using the configured ATR-based distances. 🖼️ Visual Features TP and SL zones: Rendered as shaded rectangles (boxes) only once per trade. Green box for TP zone, red box for SL zone. Automatically deleted and redrawn for each new trade to avoid chart clutter. ATR Display Table: A minimal info table at the top-right shows the current ATR value. Updates every few bars for performance. 🧪 Use Cases Ideal for risk-reward modeling, strategy prototyping, and understanding how volatility-based SL/TP behavior affects results. Great for backtesting frequency, RR tweaks (e.g., 2:5 or 3:1), and execution structure in random conditions. ⚠️ Disclaimer Since the trade direction is random, this script is not meant for predictive trading but serves as a powerful experiment framework for studying how SL, TP, and volatility interact with random chance in a controlled, repeatable system.
Pine Script® stratejisi
vineeth059 tarafından
1
VDN2 - SuperTrend + ADX + Stochastic StrategySuperTrend + ADX + Stochastic Overview:
A trend-following and momentum-confirmation strategy using SuperTrend, ADX (>20 filter), and Stochastic oscillator. Optimized for Gold (XAUUSD) on the 10-minute chart. Backtest Highlights (Last 1 Week): Win Rate: 83.3% (5 out of 6 trades) Net Profit: +56.35 USD (1 contract size) Avg Trade Duration: ~58 bars (~9.6 hours) Max Drawdown: 16.65 USD Avg Win: 9.24 USD, Avg Loss: 0.82 USD Largest Single Profit: 23.28 USD Profit Factor: ~11.27 Core Logic: Enter Long when: * SuperTrend is bullish * ADX > 20 * Stochastic %K > %D and %K < 80 Enter Short when: * SuperTrend is bearish * ADX > 20 * Stochastic %K < %D and %K > 20 No fixed TP/SL. Positions closed on signal reversal.
Pine Script® stratejisi
vidinozyer tarafından
SuperTrend + ADX + Stochastic Stratejisi SuperTrend + ADX + Stochastic Overview:
A trend-following and momentum-confirmation strategy using SuperTrend, ADX (>20 filter), and Stochastic oscillator. Optimized for Gold (XAUUSD) on the 10-minute chart. Backtest Highlights (Last 1 Week): Win Rate: 83.3% (5 out of 6 trades) Net Profit: +56.35 USD (1 contract size) Avg Trade Duration: ~58 bars (~9.6 hours) Max Drawdown: 16.65 USD Avg Win: 9.24 USD, Avg Loss: 0.82 USD Largest Single Profit: 23.28 USD Profit Factor: ~11.27 Core Logic: Enter Long when: * SuperTrend is bullish * ADX > 20 * Stochastic %K > %D and %K < 80 Enter Short when: * SuperTrend is bearish * ADX > 20 * Stochastic %K < %D and %K > 20 No fixed TP/SL. Positions closed on signal reversal.
Pine Script® stratejisi
vidinozyer tarafından
VDN1 - T3 Tilson + IFT + ATRThis strategy combines three powerful indicators to create a high-quality and low-noise trading system: 🔹 T3 Tilson: Serves as the main trend indicator. It reacts smoothly to market direction changes while reducing noise. 🔹 Inverse Fisher Transform of RSI: A momentum filter that sharpens the signal precision. Only trades in the direction of positive or negative momentum. 🔹 ATR Filter: Avoids entries during low volatility (sideways) periods. Ensures the market is active enough before executing trades. Core Logic: * Long Entry: T3 Tilson rising + IFT(RSI) > 0 + ATR > threshold * Short Entry: T3 Tilson falling + IFT(RSI) < 0 + ATR > threshold * All trades use a fixed size of 1 unit for consistent risk evaluation. Performance Notes: * Works exceptionally well on index futures (e.g., NAS100, US30, GER40) * Shows low drawdown and high profit factor (PF > 3) on those assets * Also performs decently on XAUUSD, even with only \~32% win rate — thanks to favorable risk/reward * BTC and ETH may require modified versions due to higher volatility and whipsaws This is a master version — clean, unoptimized, and stable. Use this as a core engine to build and test enhanced versions (e.g., with TP/SL, dynamic filters, etc.) Happy testing and trading!
Pine Script® stratejisi
vidinozyer tarafından
Enhanced RSI Divergence StrategyCore Strategy Logic 1. Higher Timeframe (HTF) Context Purpose: Align with the dominant trend (e.g., "bullish made new highs"). Tools: Price action (breakouts, key support/resistance levels). Trend confirmation (e.g., 50EMA on 1H/4H charts). 2. Lower Timeframe (LTF) Entry Triggers Momentum Breakdown (Short Example): Signal: Price makes "high of the day" + reversal candlestick (e.g., bearish engulfing). Confirmation: RSI divergence or volume spike. Support Reversion (Long/Short): Signal: False breakout (e.g., "faked bullish breakout and reversed"). Confirmation: Wick rejection at HTF support/resistance. 3. Trade Execution Entry: On 5-minute close after trigger. Stop Loss (SL): Current: Fixed ticks (e.g., 7-13 pts) → Issue: Too tight for US100 volatility. Improved: 1.5x ATR(14) or beyond recent swing high/low. Take Profit (TP): Current: Fixed price levels (e.g., 21523). Improved: Tiered exits (50% at 1:1 RR, trail rest). 4. Position Sizing Fixed contracts (e.g., 10 per trade). Better Approach: Risk 1-2% of capital per trade (adjust size based on SL distance). Key Strengths HTF+LTF Alignment: Avoids counter-trend traps by trading in HTF direction. Flexibility: Adapts to momentum and mean-reversion setups. Journaling: Tracks emotions/mistakes (critical for improvement).
Pine Script® stratejisi
mexyeso tarafından
Enhanced Ichimoku Cloud Strategy V1 [Quant Trading]Overview This strategy combines the powerful Ichimoku Kinko Hyo system with a 171-period Exponential Moving Average (EMA) filter to create a robust trend-following approach. The strategy is designed for traders seeking to capitalize on strong momentum moves while using the Ichimoku cloud structure to identify optimal entry and exit points. This is a patient, low-frequency trading system that prioritizes quality over quantity. In backtesting on Solana, the strategy achieved impressive results with approximately 3600% profit over just 29 trades, demonstrating its effectiveness at capturing major trend movements rather than attempting to profit from every market fluctuation. The extended parameters and strict entry criteria are specifically optimized for Solana's price action characteristics, making it well-suited for traders who prefer fewer, higher-conviction positions over high-frequency trading approaches. What Makes This Strategy Original This implementation enhances the traditional Ichimoku system by: Custom Ichimoku Parameters: Uses non-standard periods (Conversion: 7, Base: 211, Lagging Span 2: 120, Displacement: 41) optimized for different market conditions EMA Confirmation Filter: Incorporates a 171-period EMA as an additional trend confirmation layer State Memory System: Implements a sophisticated memory system to track buy/sell states and prevent false signals Dual Trade Modes: Offers both traditional Ichimoku signals ("Ichi") and cloud-based signals ("Cloud") Breakout Confirmation: Requires price to break above the 25-period high for long entries How It Works Core Components Ichimoku Elements: -Conversion Line (Tenkan-sen): 7-period Donchian midpoint -Base Line (Kijun-sen): 211-period Donchian midpoint -Span A (Senkou Span A): Average of Conversion and Base lines, plotted 41 periods ahead -Span B (Senkou Span B): 120-period Donchian midpoint, plotted 41 periods ahead -Lagging Span (Chikou Span): Current close plotted 41 periods back EMA Filter: 171-period EMA acts as a long-term trend filter Entry Logic (Ichi Mode - Default) A long position is triggered when ALL conditions are met: Cloud Bullish: Span A > Span B (41 periods ago) Breakout Confirmation: Current close > 25-period high Ichimoku Bullish: Conversion Line > Base Line Trend Alignment: Current close > 171-period EMA State Memory: No previous buy signal is still active Exit Logic Positions are closed when: Ichimoku Bearish: Conversion Line < Base Line Alternative Cloud Mode When "Cloud" mode is selected, the strategy uses: Entry: Span A crosses above Span B with additional cloud and EMA confirmations Exit: Span A crosses below Span B with cloud and EMA confirmations Default Settings Explained Strategy Properties Initial Capital: $1,000 (realistic for average traders) Position Size: 100% of equity (appropriate for backtesting single-asset strategies) Commission: 0.1% (realistic for most brokers) Slippage: 3 ticks (accounts for realistic execution costs) Date Range: January 1, 2018 to December 31, 2069 Key Parameters Conversion Periods: 7 (faster than traditional 9, more responsive to price changes) Base Periods: 211 (much longer than traditional 26, provides stronger trend confirmation) Lagging Span 2 Periods: 120 (custom period for stronger support/resistance levels) Displacement: 41 (projects cloud further into future than standard 26) EMA Period: 171 (long-term trend filter, approximately 8.5 months of daily data) How to Use This Strategy Best Market Conditions Trending Markets: Works best in clearly trending markets where the cloud provides strong directional bias Medium to Long-term Timeframes: Optimized for daily charts and higher timeframes Volatile Assets: The breakout confirmation helps filter out weak signals in choppy markets Risk Management The strategy uses 100% equity allocation, suitable for backtesting single strategies Consider reducing position size when implementing with real capital Monitor the 25-period high breakout requirement as it may delay entries in fast-moving markets Visual Elements Green/Red Cloud: Shows bullish/bearish cloud conditions Yellow Line: Conversion Line (Tenkan-sen) Blue Line: Base Line (Kijun-sen) Orange Line: 171-period EMA trend filter Gray Line: Lagging Span (Chikou Span) Important Considerations Limitations Lagging Nature: Like all Ichimoku strategies, signals may lag significant price moves Whipsaw Risk: Extended periods of consolidation may generate false signals Parameter Sensitivity: Custom parameters may not work equally well across all market conditions Backtesting Notes Results are based on historical data and past performance does not guarantee future results The strategy includes realistic slippage and commission costs Default settings are optimized for backtesting and may need adjustment for live trading Risk Disclaimer This strategy is for educational purposes only and should not be considered financial advice. Always conduct your own analysis and risk management before implementing any trading strategy. The unique parameter combinations used may not be suitable for all market conditions or trading styles. Customization Options Trade Mode: Switch between "Ichi" and "Cloud" signal generation Short Trading: Option to enable short positions (disabled by default) Date Range: Customize backtesting period All Ichimoku Parameters: Fully customizable for different market conditions This enhanced Ichimoku implementation provides a structured approach to trend following while maintaining the flexibility to adapt to different trading styles and market conditions.
Pine Script® stratejisi
Quant_Trading_Pro tarafından
ARSI – (VWAP & ATR) 3QKRAKThe ARSI Long & Short – Dynamic Risk Sizing (VWAP & ATR) indicator combines three core components—an adjusted RSI oscillator (ARSI), Volume‐Weighted Average Price (VWAP), and Average True Range (ATR)—so that entry/exit signals and position sizing are always tailored to current market conditions. ARSI, plotted from 0 to 100 with clearly marked overbought and oversold zones, is the primary signal driver: when ARSI falls below the lower threshold it indicates an excessive sell‐off and flags a long opportunity, whereas a break above the upper threshold signals overextended gains and foreshadows a short. A midpoint line at 50 can serve as an early exit or reduction signal when crossed against your position. VWAP, showing the volume‐weighted average price over the chosen period, acts as a trend filter—long trades are only taken when price sits above VWAP, and shorts only when it’s below—ensuring each trade aligns with the prevailing market momentum. ATR measures current volatility and is used both to set safe stop‐loss levels and to dynamically size each position. In practice, this means positions automatically shrink in high‐volatility environments and grow in quieter markets, all while risking a fixed percentage of your capital. Everything appears on a single chart: the ARSI pane below the price window with its reference levels; VWAP overlaid on the price; and the ATR‐based stop‐loss distances graphically displayed. Traders thus get a comprehensive, at-a-glance view of entries, exits, trend confirmation, and exactly how large a position they can safely take. The indicator runs in real time, removing the need for manual parameter calculations and letting you focus on strategic decision-making.
Pine Script® stratejisi
L3QKRAK tarafından
Holy GrailThis is a long-only educational strategy that simulates what happens if you keep adding to a position during pullbacks and only exit when the asset hits a new All-Time High (ATH). It is intended for learning purposes only — not for live trading. 🧠 How it works: The strategy identifies pullbacks using a simple moving average (MA). When price dips below the MA, it begins monitoring for the first green candle (close > open). That green candle signals a potential bottom, so it adds to the position. If price goes lower, it waits for the next green candle and adds again. The exit happens after ATH — it sells on each red candle (close < open) once a new ATH is reached. You can adjust: MA length (defines what’s considered a pullback) Initial buy % (how much to pre-fill before signals start) Buy % per signal (after pullback green candle) Exit % per red candle after ATH 📊 Intended assets & timeframes: This strategy is designed for broad market indices and long-term appreciating assets, such as: SPY, NASDAQ, DAX, FTSE Use it only on 1D or higher timeframes — it’s not meant for scalping or short-term trading. ⚠️ Important Limitations: Long-only: The script does not short. It assumes the asset will eventually recover to a new ATH. Not for all assets: It won't work on assets that may never recover (e.g., single stocks or speculative tokens). Slow capital deployment: Entries happen gradually and may take a long time to close. Not optimized for returns: Buy & hold can outperform this strategy. No slippage, fees, or funding costs included. This is not a performance strategy. It’s a teaching tool to show that: High win rate ≠ high profitability Patience can be deceiving Many signals = long capital lock-in 🎓 Why it exists: The purpose of this strategy is to demonstrate market psychology and risk overconfidence. Traders often chase strategies with high win rates without considering holding time, drawdowns, or opportunity cost. This script helps visualize that phenomenon.
Pine Script® stratejisi
Intetics tarafından
RSI-Adaptive T3 + Squeeze Momentum Strategy✅ Strategy Guide: RSI-Adaptive T3 + Squeeze Momentum Strategy 📌 Overview The RSI-Adaptive T3 + Squeeze Momentum Strategy is a dynamic trend-following strategy based on an RSI-responsive T3 moving average and Squeeze Momentum detection . It adapts in real-time to market volatility to enhance entry precision and optimize risk. ⚠️ This strategy is provided for educational and research purposes only. Past performance does not guarantee future results. 🎯 Strategy Objectives The main objective of this strategy is to catch the early phase of a trend and generate consistent entry signals. Designed to be intuitive and accessible for traders from beginner to advanced levels. ✨ Key Features RSI-Responsive T3: T3 length dynamically adjusts according to RSI values for adaptive trend detection Squeeze Momentum: Combines Bollinger Bands and Keltner Channels to identify trend buildup phases Visual Triggers: Entry signals are generated from T3 crossovers and momentum strength after squeeze release 📊 Trading Rules Long Entry: When T3 crosses upward, momentum is positive, and the squeeze has just been released. Short Entry: When T3 crosses downward, momentum is negative, and the squeeze has just been released. Exit (Reversal): When the opposite condition to the entry is triggered, the position is reversed. 💰 Risk Management Parameters Pair & Timeframe: BTC/USD (30-minute chart) Capital (simulated): $30,00 Order size: `$100` per trade (realistic, low-risk sizing) Commission: 0.02% Slippage: 2 pips Risk per Trade: 5% Number of Trades (backtest period): 181 📊 Performance Overview Symbol: BTC/USD Timeframe: 30-minute chart Date Range: January 1, 2024 – July 3, 2025 Win Rate: 47.8% Profit Factor: 2.01 Net Profit: 173.16 (units not specified) Max Drawdown: 5.77% or 24.91 (0.79%) ⚙️ Indicator Parameters Indicator Name: RSI-Adaptive T3 + Squeeze Momentum RSI Length: 14 T3 Min Length: 5 T3 Max Length: 50 T3 Volume Factor: 0.7 BB Length: 27 (Multiplier: 2.0) KC Length: 20 (Multiplier: 1.5, TrueRange enabled) 🖼 Visual Support T3 slope direction, squeeze status, and momentum bars are visually plotted on the chart, providing high clarity for quick trend analysis and execution. 🔧 Strategy Improvements & Uniqueness Inspired by the RSI Adaptive T3 by ChartPrime and Squeeze Momentum Indicator by LazyBear , this strategy fuses both into a hybrid trend-reversal and momentum breakout detection system . Compared to traditional trend-following methods, it excels at capturing early trend signals with greater sensitivity . ✅ Summary The RSI-Adaptive T3 + Squeeze Momentum Strategy combines momentum detection with volatility-responsive risk management. With a strong balance between visual clarity and practicality, it serves as a powerful tool for traders seeking high repeatability. ⚠️ This strategy is based on historical data and does not guarantee future profits. Always use appropriate risk management when applying it.
Pine Script® stratejisi
PakunFX tarafından
Warrior Trading Momentum Strategy # 🚀 Warrior Trading Momentum Strategy - Day Trading Excellence ## Strategy Overview This comprehensive Pine Script strategy replicates the proven methodologies taught by Ross Cameron and the Warrior Trading community. Designed for active day traders, it identifies high-probability momentum setups with strict risk management protocols. ## 📈 Core Trading Setups ### 1. Gap and Go Trading - **Primary Focus**: Stocks gapping up 2%+ with volume confirmation - **Entry Logic**: Breakout above gap open with momentum validation - **Volume Filter**: 2x average volume requirement for quality setups ### 2. ABCD Pattern Recognition - **Pattern Detection**: Automated identification of classic ABCD reversal patterns - **Validation**: A-B and C-D move relationship analysis - **Entry Trigger**: D-point breakout with volume confirmation ### 3. VWAP Momentum Plays - **Strategy**: Entries near VWAP with bounce confirmation - **Distance Filter**: Configurable percentage distance for optimal entries - **Direction Bias**: Above VWAP bullish momentum validation ### 4. Red to Green Reversals - **Setup**: Reversal patterns after consecutive red candles - **Confirmation**: Volume spike with bullish close required - **Momentum**: Trend change validation with RSI support ### 5. Breakout Momentum - **Logic**: Breakouts above recent highs with volume - **Filters**: EMA20 and RSI confirmation for quality - **Trend**: Established momentum direction validation ## ⚡ Key Features ### Smart Risk Management - **Position Sizing**: Automatic calculation based on account risk percentage - **Stop Loss**: 2 ATR-based stops for volatility adjustment - **Take Profit**: Configurable risk-reward ratios (default 1:2) - **Trailing Stops**: Profit protection with adjustable triggers ### Advanced Filtering System - **Time Filters**: Market hours trading with lunch hour avoidance - **Volume Confirmation**: Multi-timeframe volume analysis - **Momentum Indicators**: RSI and moving average trend validation - **Quality Control**: Multiple confirmation layers for signal accuracy ### PDT-Friendly Design - **Trade Limiting**: Built-in daily trade counter for accounts under $25K - **Selective Trading**: Priority scoring system for A+ setups only - **Quality over Quantity**: Maximum 2-3 high-probability trades per day ## 🎯 Optimal Usage ### Best Timeframes - **Primary**: 5-minute charts for entry timing - **Secondary**: 1-minute for precise execution - **Context**: Daily charts for gap analysis ### Ideal Market Conditions - **Volatility**: High-volume, momentum-driven markets - **Stocks**: Market cap $100M+, average volume 1M+ shares - **Sectors**: Technology, biotech, growth stocks with news catalysts ### Account Requirements - **Minimum**: $500+ for proper position sizing - **Recommended**: $25K+ for unlimited day trading - **Risk Tolerance**: Active day trading experience preferred ## 📊 Performance Optimization ### Entry Criteria (All Must Align) 1. ✅ Time filter (market hours, avoid lunch) 2. ✅ Volume spike (2x+ average volume) 3. ✅ Momentum confirmation (RSI 50-80) 4. ✅ Trend alignment (above EMA20) 5. ✅ Pattern completion (setup-specific) ### Risk Parameters - **Maximum Risk**: 1-2% per trade - **Position Size**: 25% of account maximum - **Stop Loss**: 2 ATR below entry - **Take Profit**: 2:1 risk-reward minimum ## 🔧 Customization Options ### Gap Trading Settings - Minimum gap percentage threshold - Volume multiplier requirements - Gap validation criteria ### Pattern Recognition - ABCD ratio parameters - Swing point sensitivity - Pattern completion filters ### Risk Management - Risk-reward ratio adjustment - Maximum daily trade limits - Trailing stop trigger levels ### Time and Session Filters - Trading session customization - Lunch hour avoidance toggle - Market condition filters ## ⚠️ Important Disclaimers ### Risk Warning - **High Risk**: Day trading involves substantial risk of loss - **Capital Requirements**: Only trade with risk capital - **Experience**: Strategy requires active monitoring and experience - **Market Conditions**: Performance varies with market volatility ### PDT Considerations - **Day Trading Rules**: Accounts under $25K limited to 3 day trades per 5 days - **Compliance**: Strategy includes trade counting for PDT compliance - **Alternative**: Consider swing trading modifications for smaller accounts ### Backtesting vs Live Trading - **Slippage**: Real trading involves execution delays and slippage - **Commissions**: Factor in broker fees for accurate performance - **Market Impact**: Large positions may affect fill prices - **Psychological Factors**: Live trading involves emotional challenges ## 📚 Educational Value This strategy serves as an excellent learning tool for understanding: - Professional day trading methodologies - Risk management principles - Pattern recognition techniques - Volume and momentum analysis - Multi-timeframe analysis ## 🤝 Community and Support Based on proven Warrior Trading methodologies with active community support. Strategy includes comprehensive plotting and information tables for educational purposes and trade analysis. --- **Disclaimer**: This strategy is for educational purposes. Past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose. **Tags**: #DayTrading #Momentum #WarriorTrading #GapAndGo #ABCD #VWAP #PatternTrading #RiskManagement
Pine Script® stratejisi
pgmqs42k5s tarafından
Tuga SupertrendDescription This strategy uses the Supertrend indicator enhanced with commission and slippage filters to capture trends on the daily chart. It’s designed to work on any asset but is especially effective in markets with consistent movements. Use the date inputs to set the backtest period (default: from January 1, 2018, through today, June 30, 2025). The default input values are optimized for the daily chart. For other timeframes, adjust the parameters to suit the asset you’re testing. Release Notes June 30, 2025 • Updated default backtest period to end on June 30, 2025. • Default commission adjusted to 0.1 %. • Slippage set to 3 ticks. • Default slippage set to 3 ticks. • Simplified the strategy name to “Tuga Supertrend”. Default Parameters Parameter Default Value Supertrend Period 10 Multiplier (Factor) 3 Commission 0.1 % Slippage 3 ticks Start Date January 1, 2018 End Date June 30, 2025
Pine Script® stratejisi
pedromto934 tarafından
Options Strategy V1.3📈 Options Strategy V1.3 — EMA Crossover + RSI + ATR + Opening Range Overview: This strategy is designed for short-term directional trades on large-cap stocks or ETFs, especially when trading options. It combines classic trend-following signals with momentum confirmation, volatility-based risk management, and session timing filters to help identify high-probability entries with predefined stop-loss and profit targets. 🔍 Strategy Components: EMA Crossover (Fast/Slow) Entry signals are triggered by the crossover of a short EMA above or below a long EMA — a traditional trend-following method to detect shifts in momentum. RSI Filter RSI confirms the signal by avoiding entries in overbought/oversold zones unless certain momentum conditions are met. Long entry requires RSI ≥ Long Threshold Short entry requires RSI ≤ Short Threshold ATR-Based SL & TP Stop-loss is set dynamically as a multiple of ATR below (long) or above (short) the entry price. Take-profit is placed as a ratio (TP/SL) of the stop distance, ensuring consistent reward/risk structure. Opening Range Filter (Optional) If enabled, the strategy only triggers trades after price breaks out of the 09:30–09:45 EST range, ensuring participation in directional moves. Session Filters No trades from 04:00 to 09:30 and from 16:00 to 20:00 EST, avoiding low-liquidity periods. All open trades are closed at 15:55 EST, to avoid overnight risk or expiration issues for options. ⚙️ Built-in Presets: You can choose one of the built-in ticker-specific presets for optimal conditions: Ticker EMAs RSI (Long/Short) ATR SL×ATR TP/SL SPY 8/28 56 / 26 14 1.4× 4.0× TSLA 23/27 56 / 33 13 1.4× 3.6× AAPL 6/13 61 / 26 23 1.4× 2.1× MSFT 25/32 54 / 26 14 1.2× 2.2× META 25/32 53 / 26 17 1.8× 2.3× AMZN 28/32 55 / 25 16 1.8× 2.3× You can also choose "Custom" to fully configure all parameters to your own market and strategy preferences. 📌 Best Use Case: This strategy is especially suited for intraday options trading, where timing and risk control are critical. It works best on liquid tickers with strong trends or clear breakout behavior.
Pine Script® stratejisi
olaszvandor tarafından
HMA Crossover + ATR + Curvature (Long & Short)📏 Hull Moving Averages (Trend Filters) - fastHMA = ta.hma(close, fastLength) - slowHMA = ta.hma(close, slowLength) These two HMAs act as dynamic trend indicators: - A bullish crossover of fast over slow HMA signals a potential long setup. - A bearish crossunder triggers short interest. ⚡️ Curvature (Acceleration Filter) - curv = ta.change(ta.change(fastHMA)) This calculates the second-order change (akin to the second derivative) of the fast HMA — effectively the acceleration of the trend. It serves as a filter: - For long entries: curv > curvThresh (positive acceleration) - For short entries: curv < -curvThresh (negative acceleration) It helps eliminate weak or stagnating moves by requiring momentum behind the crossover. 📈 Volatility-Based Risk Management (ATR) - atr = ta.atr(atrLength) - stopLoss = atr * atrMult - trailStop = atr * trailMult These define your: - Initial stop loss: scaled to recent volatility using ATR and atrMult. - Trailing stop: also ATR-scaled, to lock in gains dynamically as price moves favorably. 💰 Position Sizing via Risk Percent - capital = strategy.equity - riskCapital = capital * (riskPercent / 100) - qty = riskCapital / stopLoss This dynamically calculates the position size (qty) such that if the stop loss is hit, the loss does not exceed the predefined percentage of account equity. It’s a volatility-adjusted position sizing method, keeping your risk consistent regardless of market conditions. 📌 Execution Logic - Long Entry: on bullish HMA crossover with rising curvature. - Short Entry: on bearish crossover with falling curvature. - Exits: use ATR-based trailing stops. - Position is closed when trend conditions reverse (e.g., bearish crossover exits the long). This framework gives you: - Trend-following logic (via HMAs) - Momentum confirmation (via curvature) - Volatility-aware execution and exits (via ATR) - Risk-controlled dynamic sizing Want to get surgical and test what happens if we use curvature on the difference between HMAs instead? That might give some cool insights into trend strength transitions.
Pine Script® stratejisi
emilio_sforza tarafından
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