The Thesis
RSI Snap-Back is built on a familiar mean-reversion premise: large-cap tech names tend to snap back sharply after short-term momentum extremes. The rules are refreshingly simple — enter when a name's RSI falls below 35, exit when it climbs above 70, and rotate holdings to keep a tight four-name book. That hard four-slot cap is doing double duty: it enforces discipline and limits how much concurrent drawdown exposure the strategy can accumulate at once.
The universe is the Magnificent Seven — AAPL, MSFT, NVDA, GOOGL, AMZN, META, and TSLA. It's a coherent choice. These are liquid, heavily traded names where short-term RSI extremes are genuinely tradable, and where the reversion pattern has at least a plausible microstructure story behind it.
Backtest Performance
Over 451 days, the backtest returned 20.95%, taking a $10,000 book to $12,095 — an 11.21% CAGR. The win rate is a healthy 66.67% across 37 trades, and fees were negligible ($37 total, no FX cost).
The less flattering numbers deserve equal billing. The Sharpe ratio is 0.61 — positive, but modest, indicating the returns came with meaningful volatility rather than a smooth ride. The maximum drawdown of 23.73% is the figure that should give any allocator pause: nearly a quarter of the book was underwater at the worst point. And turnover of 773% is high, implying the strategy churns its positions aggressively. That churn survived the backtest's low fee assumptions, but slippage and real-world spreads could erode the edge more than the clean numbers suggest.
Recent Activity
Here is the most important caveat for anyone reading the live line. Across its last six scheduled runs — spanning September 21 to September 25 — the strategy executed zero trades on every single one. Cash and total equity have held flat at $10,000 throughout. In plain terms, none of the seven names has dipped below the RSI 35 entry threshold recently, so the book is sitting entirely in cash.
That is not a malfunction; it is the strategy behaving as designed in a market without oversold Mag-7 names. But it does mean the impressive backtest is currently doing no work. A mean-reversion strategy only earns its keep when volatility hands it entries, and right now it is waiting.
The Validation Gap
The single largest risk is what's missing: the validation field is null. There is no out-of-sample or holdout record on file. A 20.95% return with a 66.67% win rate over a single backtest window is encouraging, but without validation it is impossible to distinguish a robust edge from a curve fit to one favorable period. Given the strategy's high turnover and the concentrated seven-name universe, overfitting is a live concern.
Verdict
RSI Snap-Back is a clean, disciplined idea with a respectable backtest and a sensible risk cap. But it carries a chunky drawdown, only a modest risk-adjusted return, no independent validation, and it is currently dormant in cash. It earns a watch, not yet a conviction — the next test is whether it holds up when the market finally hands it an oversold name to buy.