The thesis
RSI Snap-Back is a mean-reversion strategy that leans on a simple, well-worn market observation: large-cap tech names tend to snap back sharply after short-term momentum extremes. Mechanically, it buys the most oversold names when their RSI drops below 35 and exits when RSI climbs above 70, rotating capital to keep a tight four-slot book. That hard cap on concurrent positions is the strategy's discipline mechanism — it forces the model to hold only its highest-conviction oversold candidates and limits how much drawdown exposure can pile up at once. The universe is the usual megacap suspects: AAPL, MSFT, NVDA, GOOGL, AMZN, META, and TSLA.
Backtest performance
Over a 451-day backtest, the strategy returned 20.95%, growing a $10,000 book to $12,095. That works out to a CAGR of 11.21%, with a 66.67% win rate across 37 trades. Fees were negligible — $37 total, with no FX drag — which is what you'd expect from a low-count, single-currency book.
The headline return is respectable, but the risk-adjusted picture is more sober. The Sharpe ratio of 0.61 is modest, and the maximum drawdown of 23.73% is steep relative to the total return — you had to stomach roughly a quarter of your capital evaporating at the worst point to earn a fifth of it back. Turnover of 773% confirms this is an active rotation strategy, not a buy-and-hold; in a live setting with wider spreads or slippage, that churn would matter more than the clean backtest fees suggest.
Recent activity
Here's the part that deserves attention. Across the last six scheduled runs — September 7 through 14 — the strategy executed zero trades. Each daily run reports the same line: 0 executed, 0 rejected, cash $10,000, total $10,000. In other words, the book has been entirely in cash for over a week, with no positions taken and no RSI-below-35 signals firing.
That isn't necessarily a fault. A mean-reversion model that only acts on genuine oversold extremes should stand aside when none of its universe is oversold — patience is a feature, not a bug. But it does mean the live track record is currently thin, and none of the backtest's 37 trades are being reproduced in the recent live window we can see.
Strengths and risks
Strengths: a coherent, mechanical thesis; a two-thirds win rate; tight position limits that enforce discipline; and negligible trading costs.
Risks: the drawdown is uncomfortably large for the return earned, the Sharpe is unremarkable, and — most importantly — the validation field is null. There is no out-of-sample or walk-forward result to distinguish genuine edge from curve-fitting, and a 37-trade sample is small enough that the win rate carries real statistical noise. Combine that with a week of inactivity and the honest read is: promising thesis, plausible backtest, unproven live edge.
Verdict
RSI Snap-Back is a clean expression of a legitimate idea, but it should be watched, not trusted, until an out-of-sample validation exists and the live book actually deploys capital.