The Thesis
RSI Snap-Back is built on a well-worn but durable idea: large-cap tech names tend to overshoot on short-term momentum and then revert. The rules are refreshingly concrete — buy the most oversold names when RSI drops below 35, exit when RSI climbs above 70, and keep the book capped at four concurrent positions. That hard 4-slot limit is the strategy's most interesting design choice. Rather than chasing every signal, it forces the system to hold only its highest-conviction oversold candidates, which caps concurrent drawdown exposure and imposes a rotation discipline that many discretionary traders lack.
The universe is tight: the Magnificent Seven (AAPL, MSFT, NVDA, GOOGL, AMZN, META, TSLA). These are liquid, heavily analysed names where mean-reversion is plausible but far from guaranteed — momentum can persist in mega-cap tech for uncomfortably long stretches.
Backtest Performance
Over 451 days the strategy returned 20.95%, lifting a $10,000 book to $12,095 for a CAGR of 11.21%. The win rate is a healthy 66.67% across 37 trades, and fees were negligible ($37 total, zero FX cost). On the surface, that's a respectable result.
The caveats matter, though. The Sharpe of 0.61 is modest — this is a return stream with meaningful volatility, not a smooth equity curve. The max drawdown of 23.73% is the headline risk: it slightly exceeds the total return itself, meaning an investor could have sat through a peak-to-trough loss larger than a full year's gain. Turnover of 773% is also high, implying the book churns roughly eight times over the test window. Fees stayed low here, but in a live setting with slippage and wider spreads, that churn could erode edge faster than the backtest suggests.
Recent Live Activity
Here the picture is quiet — perhaps too quiet. The last six scheduled runs (29 July through 5 August) all report the same thing: 0 executed, 0 rejected, cash and total equity pinned at $10,000. The book is empty and no name has triggered an entry. That isn't a malfunction; it's the strategy behaving as designed, waiting for RSI to breach 35. But it's a reminder that a mean-reversion system only earns when volatility hands it oversold conditions — and in a calm or grinding-higher tape, it simply sits in cash.
Risks and the Validation Gap
The most important line in the data is the one that's blank: validation is null. There is no out-of-sample or walk-forward check attached to this strategy. With only 37 trades, a 66.67% win rate, and a single backtest window, the risk of curve-fitting the RSI thresholds and the 4-slot cap is real. A 20.95% return means little without evidence it holds outside the period it was tuned on.
Verdict
RSI Snap-Back is a cleanly specified, disciplined strategy with a plausible edge and controlled costs. But a sub-1 Sharpe, a drawdown larger than its return, and — critically — no validation record mean it should be treated as a promising candidate under observation, not a proven performer. The current stretch of empty runs is a good moment to close the validation gap before the next signal fires.