The Thesis
RSI Snap-Back is built on a simple but well-tested behavioural insight: high-quality large-cap technology stocks — the so-called Magnificent 7 (AAPL, MSFT, NVDA, GOOGL, AMZN, META, TSLA) — tend to recover sharply after short-term momentum extremes. The strategy enters when RSI falls below 35 (a technically oversold threshold) and exits when RSI climbs above 70. A hard cap of four concurrent positions enforces capital discipline and limits the portfolio's exposure to simultaneous drawdowns across the universe.
The logic is sound: these are liquid, widely-covered names where extreme momentum readings are more likely to reflect short-term panic than a permanent valuation collapse. The tight book size is the key risk-management lever — it prevents over-diversification from diluting the signal while also avoiding concentration in a single bet.
Backtest Performance
Over 451 days, RSI Snap-Back returned +20.95% on a $10,000 starting portfolio, ending at $12,095. That translates to an annualised CAGR of 11.21% — respectable for a strategy confined to a seven-stock universe with mechanical entry/exit rules.
The win rate of 66.67% across 37 trades is a meaningful edge: two out of every three closed positions were profitable. The Sharpe ratio of 0.61 is modest but not dismissible for a mean-reversion strategy, which by nature accepts periodic sharp drawdowns in exchange for high-frequency batting average.
The headline risk is the maximum drawdown of 23.73%. That is a significant peak-to-trough decline and reflects the inherent danger of catching falling knives in momentum-driven tech names. A position entered on RSI < 35 can continue to fall well before reverting — particularly in risk-off regimes or sector-specific corrections. Investors following this strategy live would need genuine conviction (and strong stomachs) to hold through those periods.
Turnover of 773% underscores how actively the strategy rotates its four slots across the year, which also means transaction costs are a real factor at scale — though the 37-trade backtest recorded only $37 in fees at the simulated flat rate.
Recent Activity: Waiting for the Signal
The most notable near-term data point is what hasn't happened. RSI Snap-Back has run on schedule every trading day from June 11 through June 18 — and executed zero trades across all six sessions. Cash sits at the full $10,000 starting balance.
This is not a malfunction; it is the strategy working as designed. No name in the Mag-7 universe has breached RSI < 35 during this period, so the algorithm correctly stays flat. In a market where large-cap tech has largely been trending or consolidating rather than selling off, the entry conditions simply haven't triggered.
The absence of trades is a meaningful signal in itself: current market conditions do not favour the mean-reversion setup this strategy is optimised for.
Strengths and Risks at a Glance
Strengths
- High-conviction universe of liquid, fundamentally durable names
- Two-thirds win rate validates the RSI threshold logic in backtesting
- Enforced four-slot book prevents overexposure
- Disciplined idle periods protect capital when conditions aren't right
Risks
- 23.7% max drawdown is material — the strategy can be deeply underwater before mean-reversion kicks in
- No formal walk-forward or out-of-sample validation has been run yet (
validation: null) - A concentrated universe of seven names means correlation risk in a sector-wide selloff
- High turnover could erode live returns in illiquid conditions or with wider spreads
What to Watch
The strategy becomes interesting again if any Mag-7 name experiences a sharp pullback — a guidance miss, macro shock, or sector rotation — that pushes RSI below the entry threshold. Until then, RSI Snap-Back is in its most disciplined mode: doing nothing and preserving optionality.