The Thesis
RSI Snap-Back is a mean-reversion strategy built on a simple, well-worn premise: large-cap tech names overshoot in the short term and snap back. It buys the most oversold members of a seven-name Mag-7 universe (AAPL, MSFT, NVDA, GOOGL, AMZN, META, TSLA) when RSI falls below 35, exits when RSI climbs above 70, and rotates positions to hold a tight four-slot book. That hard cap on concurrent positions is the strategy's discipline mechanism — it limits how much drawdown exposure can stack up at once.
It's a coherent idea. Mean reversion tends to work best in liquid, heavily-traded names where short-term momentum extremes get arbitraged away quickly, and the Mag-7 fits that profile.
Backtest Performance
Over 451 days, the backtest returned 20.95% (final equity $12,095 on a $10,000 base), for a CAGR of 11.21%. The win rate is a healthy 66.67% across 37 trades, and trading costs were negligible — $37 in fees, no FX drag.
The risk profile is more mixed. The Sharpe ratio of 0.61 is modest, indicating the returns came with meaningful volatility rather than a smooth ride. More striking is the 23.73% maximum drawdown — a near-quarter peak-to-trough loss that would test most investors' conviction. Turnover of 773% is also high, implying the four-slot book churns aggressively; that's survivable here only because fees are so low, but it's a sensitivity worth flagging if cost assumptions ever tighten.
Recent Activity
Here the story gets quieter. The last six scheduled runs — from 2026-09-03 through 2026-09-10 — each executed zero trades and zero rejections, with the book holding flat at $10,000 in cash and no positions. In other words, the strategy has been fully idle for a week: no name in the universe has hit the RSI < 35 entry trigger.
That's not a malfunction — it's the strategy behaving as designed. If nothing is oversold, a disciplined mean-reversion system correctly does nothing. But it does mean the live track record is currently empty, and the compelling backtest numbers above are not yet being tested against real forward conditions.
The Validation Gap
The most important caveat: the strategy carries no validation record — the validation field is null. We have a backtest and a thesis, but no out-of-sample or walk-forward confirmation that the edge holds outside the fitted period. For a mean-reversion strategy on a small, correlated universe, that gap matters. The 20.95% return could reflect a genuine edge or a favourable in-sample fit; without validation, we can't distinguish the two.
Verdict
RSI Snap-Back has an honest, understandable thesis and an encouraging backtest, backed by a strong win rate and trivial trading costs. The concerns are real, though: a 24% drawdown, a middling Sharpe, high turnover, and — most of all — an unvalidated edge that has yet to execute a single live trade. It's a strategy worth watching, but one that has not yet earned conviction. The next oversold signal will be the first real test.