Simple RSI Trading Strategy For Easy Profit! (82% Winrate)

Simple RSI Trading Strategy For Easy Profit! (82% Winrate) The Larry Connors RSI2 strategy has been used by traders for over a decade. It relies on just three indicators to identify high-quality trade setups with a historically strong win rate. By combining two simple moving averages with a modified RSI indicator, this strategy has shown an 81.5% win rate in past market conditions. But how does it hold up in a real backtest? In this video, I break down the strategy rules, go through trade examples, and run a full backtest on 30 years of historical data using Python. I also test different variations to see if the strategy can be optimized further before comparing the results to a buy and hold approach. What’s in This Video? A step-by-step breakdown of the RSI2 trading strategy Explanation of how the RSI indicator works in this method A full backtest using 30 years of historical market data Testing different parameter variations to optimize performance A final comparison against a buy and hold strategy Backtest Details Market Tested: S&P500 Time Period: 30 years of historical data Strategy Tested: RSI2 Trading Strategy Benchmark: Buy and Hold Tools Used for Backtesting Python yfinance (Yahoo Finance Data) Pandas Matplotlib (for visualizing results) Chapters 00:00 Intro 00:30 Strategy Setup 03:50 RSI Explained 05:32 Backtest 08:43 Testing Multiple Periods 13:00 Stop Loss 14:00 Different Hold Durations 17:20 Short Trades 18:10 Compare to Buy and Hold If you found this video useful, let me know in the comments. What other strategies should I 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 #RSITrading #Backtest #StockMarket #SP500 #BuyAndHold #RSI2 #TechnicalAnalysis #PythonForTrading