Mean Reversion System That Works (Backed By Data)

In this monologue podcast, Rayner Teo explains mean reversion trading, which involves profiting from the snapback when stock prices deviate from their average. He details a trading system using stocks in the Russell 1000 index on a daily timeframe, with specific rules for entry (stock above 200-day moving average, closing below the lower Bollinger Band with 2.5 standard deviations, and a 3% buy limit order) and exit (2-day RSI crossing above 50 or after 10 trading days). He uses a specific example to illustrate the rules, and he discusses the system's backtested performance over 25 years, including its winning rate, payoff ratio, and maximum drawdown, while also addressing the pros and cons of mean reversion trading, highlighting its high winning rate but potential for losses in bear markets. Finally, he promotes a free training resource for additional strategies.