The thesis
RSI Snap-Back is a mean-reversion play on the seven largest US tech names — AAPL, MSFT, NVDA, GOOGL, AMZN, META, and TSLA. The premise is simple and well-worn: large-caps that get slammed to short-term momentum extremes tend to bounce. The strategy buys the most oversold names on an RSI reading below 35, exits when RSI pushes above 70, and caps itself at a tight four-slot book. That hard limit is the interesting design choice here — it forces the strategy to rotate capital toward its highest-conviction oversold signals rather than sprawling across the whole universe, and it bounds how much drawdown can pile up concurrently.
Backtest performance
Over 451 days the strategy returned 20.95%, ending on $12,095 from a $10,000 base — roughly an 11.21% CAGR. The win rate is a healthy 66.67% across 37 trades, and fees were negligible ($37 total, no FX cost). Those are respectable numbers for a rules-based reverter.
The risk side is less flattering. The Sharpe of 0.61 is modest, meaning the returns came with meaningful volatility rather than a smooth ride. More striking is the 23.73% max drawdown — larger than the total return itself. An investor who bought in at the wrong moment could have watched nearly a quarter of their capital evaporate before the strategy recovered. Turnover runs hot at 773%, so this is an active book that churns its four slots frequently; the low fee total suggests the paper-trading cost model is forgiving, and real-world frictions would eat into the edge.
Recent activity: dormant
Here is the part that deserves attention. Across six scheduled runs from August 6 through August 13, the strategy executed zero trades every single day — cash $10,000, total $10,000, no positions. The live book has been entirely idle for a week. That is not a malfunction; it is the strategy working as designed. When none of the Mag-7 names are oversold enough to clear the RSI-35 threshold, there is simply nothing to buy, and RSI Snap-Back correctly sits in cash rather than forcing a trade.
Still, a strategy that only acts at momentum extremes will spend long stretches on the sidelines, and this is one of them. Prospective followers should expect patience to be the dominant mode.
The validation gap
The most important caveat: validation is null. There is no walk-forward or out-of-sample confirmation attached to these numbers. Everything above is in-sample backtest performance, and a 20% return with a 66% win rate over a single 451-day window is exactly the kind of result that can flatter an overfit rule set. Until this strategy earns an out-of-sample track record — or accumulates enough live trades to speak for itself — the headline metrics should be read as a hypothesis, not a verdict.
Bottom line
RSI Snap-Back is a clean, disciplined idea with a genuinely attractive backtest and admirable restraint when signals are absent. But the deep drawdown, middling Sharpe, and — above all — the complete lack of validation mean the jury is still out. Right now it is a well-behaved strategy waiting for its next oversold setup, and we'll learn far more once it actually starts trading live.