The Thesis
RSI Snap-Back is a mean-reversion play on large-cap tech. The premise is familiar but disciplined: the Magnificent Seven — AAPL, MSFT, NVDA, GOOGL, AMZN, META, and TSLA — tend to overshoot on short-term momentum and revert. The rules are mechanical: buy names when RSI drops below 35, sell when RSI climbs above 70, and hold no more than four positions at once. That hard 4-slot book is the strategy's core risk control, capping how much concurrent drawdown exposure the model can accumulate.
It's a clean, testable idea. Mean reversion on liquid mega-caps is well-trodden ground, and the RSI thresholds are conventional enough to avoid obvious curve-fitting on the entry logic itself.
Backtest Performance
Over 451 trading days the strategy returned 20.95%, ending at $12,095 on a $10,000 base — an 11.21% CAGR. The win rate is genuinely strong at 66.67% across 37 trades, and trading costs were negligible ($37 in fees, no FX drag).
The blemish is risk-adjusted return. A Sharpe of 0.61 is modest, and the 23.73% maximum drawdown is the headline concern: an investor would have had to stomach nearly a quarter of the account evaporating at the worst point. For a strategy whose entire pitch is disciplined risk control, that drawdown is larger than the tight 4-name book might lead you to expect. Turnover of 773% also signals an active, rotation-heavy approach — fine while fees stay low, but sensitive to any future cost or slippage assumptions.
Recent Activity
Here the picture turns quiet. The last six scheduled runs — every session from 26 August through 1 September — executed zero trades and rejected zero. The book has been sitting in 100% cash at a flat $10,000. In other words, the live account has not yet found a single name oversold enough to trigger an entry.
That isn't necessarily a fault: a mean-reversion model should wait when nothing is stretched, and forced trades are how these systems bleed. But it does mean the live track record is, as of today, empty. Every performance figure above comes from the backtest, not from realised live results.
The Validation Gap
The most important caveat: the validation field is null. There is no out-of-sample or walk-forward result to corroborate the backtest. A 66% win rate and 21% return look attractive, but without validation we can't distinguish genuine edge from a curve that happened to fit 451 days of a tech-heavy bull tape. Given how concentrated the universe is, that distinction matters a great deal.
Verdict
RSI Snap-Back is a coherent, low-cost strategy with an encouraging in-sample record and sensible discipline. But the case is unproven where it counts: the drawdown is steep, risk-adjusted returns are only fair, live trading has produced nothing yet, and there is no validation to lean on. It earns a place on the watchlist — not yet the conviction its backtest headline might suggest.