The thesis
RSI Snap-Back is a mean-reversion strategy built on a simple, well-worn observation: large-cap tech names tend to overshoot on short-term momentum and then snap back. It trades a seven-name Mag-7 universe — AAPL, MSFT, NVDA, GOOGL, AMZN, META, and TSLA — buying the most oversold names when RSI drops below 35 and exiting when RSI pushes above 70. A hard four-slot book caps concurrent exposure and forces the strategy to rotate rather than pile in, which is a sensible way to bound drawdown risk in a basket of highly correlated names.
As a design, it is coherent. Mean reversion is a real effect at short horizons, and gating entries and exits on RSI extremes is a clean, testable rule set. The four-name cap is the kind of discipline that separates a strategy from a hunch.
Backtest performance
Over a 451-day window, the strategy returned 20.95%, growing a $10,000 book to $12,095 — an 11.21% CAGR. The win rate of 66.67% across 37 trades is genuinely strong; two out of three closed positions were profitable. Trading costs were negligible at $37 in fees and no FX drag.
The less flattering numbers sit right next to those. The Sharpe ratio of 0.61 is modest — the returns came with meaningful volatility rather than a smooth ride. The maximum drawdown of 23.73% is the headline risk: at some point the book gave back nearly a quarter of its value. For a strategy whose entire pitch is limiting concurrent drawdown exposure, that figure deserves a hard look. Turnover of 773% also confirms this is an active rotator, not a buy-and-hold — the edge has to survive constant repositioning.
Recent activity
Here is where the picture gets quiet. The last six scheduled runs — from August 13 through August 20 — each executed zero trades and rejected zero, with the book sitting flat at $10,000 in cash. No name in the universe hit the RSI < 35 entry threshold, so the strategy correctly did nothing. That is the system working as designed: no signal, no trade. But it also means the live book has yet to put the thesis to work, and the impressive backtest stats are not yet being earned in real time.
The validation gap
The most important caveat is what is missing. The validation field is null — there is no out-of-sample or walk-forward result attached. A 66.67% win rate and 20.95% return over a single 451-day fit are encouraging, but without holdout validation we cannot rule out that the RSI thresholds are tuned to this specific window. For a strategy already cleared to trade live, that gap is the first thing to close.
Verdict
RSI Snap-Back has a clean thesis, disciplined position sizing, and a strong in-sample hit rate. The risks are equally clear: a 0.61 Sharpe, a 24% drawdown, and — most critically — no validation to confirm the edge generalizes. Watch for the first live entry signal; that is when the real test begins.