The Thesis in One Sentence
When the most liquid, most-analyzed stocks in the world get oversold, they tend to bounce — and RSI Snap-Back is designed to catch that bounce systematically, not emotionally.
The strategy watches the Magnificent Seven (AAPL, MSFT, NVDA, GOOGL, AMZN, META, TSLA) and opens a position when any name's RSI drops below 35. It exits when RSI climbs back above 70, rotating capital into the next oversold candidate. A hard four-slot book prevents over-concentration: at most four names held at once, enforcing discipline when the whole cohort sells off together.
Backtest Performance
Over 451 trading days, the backtest produced:
| Metric | Value |
|---|---|
| Total Return | 20.95% |
| CAGR | 11.21% |
| Sharpe Ratio | 0.61 |
| Max Drawdown | 23.73% |
| Win Rate | 66.67% |
| Trades | 37 |
| Turnover | 773% |
A 66.7% win rate across 37 trades is a meaningful signal — two out of every three entries resolved profitably. The 11.2% CAGR is respectable for a rules-based, unleveraged strategy confined to seven names. High turnover (773%) reflects the rotational nature of the book: the strategy isn't buy-and-hold, it's actively cycling through the universe as extremes appear and resolve.
The Drawdown Is the Risk
The 23.73% max drawdown is the number that demands respect. The Mag-7 cohort is correlated — a broad tech selloff can push multiple names below RSI 35 simultaneously, filling all four slots into a falling market. The four-slot cap helps, but it doesn't eliminate the scenario where the whole book bleeds in lockstep before the reversion arrives.
A Sharpe of 0.61 reflects this: the strategy earns returns, but volatility is real. Traders evaluating RSI Snap-Back should size it as one component of a diversified approach, not a standalone allocation.
It's also worth noting that no formal walk-forward or out-of-sample validation has been run yet (validation: null). The backtest covers a single historical window. RSI thresholds optimized on past data can degrade when market regimes shift — a risk inherent to any threshold-based mean-reversion system.
Recent Activity: Six Sessions, Zero Trades
From June 26 through July 3, RSI Snap-Back ran its daily scan and found nothing worth buying. All six scheduled runs returned zero executions, zero rejections, with the full $10,000 book sitting in cash.
This is not a bug — it is the strategy working as designed. RSI < 35 is a deliberately demanding entry bar. In a period where large-cap tech is neither crashing nor whipsawing violently, the signal simply doesn't fire. Sitting in cash is a position.
The flip side: extended quiet periods reduce realized returns and make the strategy's opportunity cost visible. If the Mag-7 grind higher without a pullback, RSI Snap-Back underperforms a passive index by definition.
Bottom Line
RSI Snap-Back is a disciplined, rules-driven approach to a real phenomenon — mean reversion in highly liquid tech names. Its historical win rate and return profile are encouraging. The key risks are correlated drawdown during broad tech dislocations, threshold sensitivity, and the absence of out-of-sample validation. The current cash-heavy posture reflects market conditions, not a system failure. Watch for the first RSI < 35 trigger across the Mag-7 universe to see the strategy put its edge to the test in live conditions.