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Simple ADX Trading Strategy Backtest - 100%+ Annual Returns! The Average Directional Index (ADX) is a well-known trend indicator, but can it be used to build a consistently profitable trading strategy? In this video, I backtest an ADX-based strategy and optimize key parameters to achieve over 100% annual returns. I test different exit conditions, entry rules, and risk management techniques to analyze the performance and determine whether ADX is a viable strategy for real trading. What's in This Video? Explanation of how the ADX indicator works Full backtest setup, including entry and exit conditions Performance analysis and parameter optimization Comparison of different settings to maximize returns Backtest Details Market Tested: S&P500 Strategy Tested: ADX-based trading system Key Optimizations: Entry/exit conditions, stop loss, and take profit Tools Used for Backtesting Python Jupyter Notebook Pandas, NumPy, Matplotlib Chapters 00:00 Intro & ADX Explanation 03:00 Backtest Code Explanation 05:10 Initial Results 06:04 Change Exit Conditions 06:30 Change Entry Conditions 07:45 Optimize SL and TP 09:50 Additional Tweaks If you found this video helpful, let me know in the comments what strategy I should test next! Disclaimer: This content is for informational and entertainment purposes only and does not constitute financial advice. I am not a licensed financial advisor. Always do your own research before making any investment or trading decisions. #TradingStrategy #ADX #Backtest #TechnicalAnalysis #StockMarket #ForexTrading #PythonForTrading