The Thesis
RSI Snap-Back starts from a well-worn but defensible premise: the largest-cap technology names in the market — Apple, Microsoft, Nvidia, Alphabet, Amazon, Meta, and Tesla — tend to recover sharply from short-term momentum extremes. The strategy enters when RSI dips below 35 (short-term oversold) and exits when it crosses above 70 (overbought). A hard cap of four simultaneous positions enforces concentration discipline and bounds concurrent drawdown exposure.
The logic is sound. Mega-cap tech names attract persistent institutional buying on dips, their fundamentals are broadly covered, and retail-driven momentum swings often overshoot fair value in both directions. A disciplined RSI trigger is a reasonable proxy for identifying those moments.
Backtest Performance
Over 451 days the strategy grew a $10,000 paper account to $12,095 — a 20.95% total return and an annualised CAGR of 11.21%. The win rate of 66.67% across 37 trades is a meaningful edge; two-thirds of its entries resolved in the expected direction.
The Sharpe ratio of 0.61 is moderate. It tells us the strategy does generate risk-adjusted returns, but not comfortably above the threshold most systematic traders target (typically 1.0+). That number invites scrutiny of the other risk metrics.
The maximum drawdown of 23.73% is the figure that demands the most attention. A drawdown of nearly a quarter of equity is not unusual for a concentrated, single-sector book, but it is large enough that a live operator needs to be comfortable sitting through it. Combined with a portfolio turnover of 773%, this is a high-activity, high-volatility profile — not a set-and-forget strategy.
One additional note: formal out-of-sample validation is listed as null. Backtest results without a held-out validation window carry the usual caveats around overfitting, especially when the universe is small (7 names) and the sample spans fewer than 500 days.
Live Activity: A Quiet Start
Deployed on 31 May 2026 with a $10,000 paper allocation, RSI Snap-Back has completed six scheduled daily runs through 4 June without executing a single trade. The book remains entirely in cash.
This is not necessarily a red flag — it is, in fact, the strategy behaving as designed. If none of the Mag-7 names are trading below RSI 35 in the current environment, the correct action is to wait. Forced entries outside the signal would undermine the entire thesis. What the idle period does underscore is that mean-reversion strategies can experience extended periods of inactivity when markets trend smoothly, and that patience is a structural feature, not a bug.
Strengths and Risks at a Glance
Strengths
- Positive CAGR and a clear, rules-based signal with no discretionary overrides
- 66.67% win rate suggests the RSI threshold is capturing genuine reversion, not noise
- Four-slot book limit creates natural position sizing discipline
Risks
- 23.73% max drawdown is steep for a 7-stock universe — concentrated sector risk is real
- No validation data; backtest covers a relatively short window on a small universe
- High turnover (773%) implies transaction cost sensitivity in a live, non-paper context
- Current all-cash state means live performance data remains zero; thesis is unconfirmed in production
Outlook
RSI Snap-Back is a coherent, well-scoped strategy with a defensible edge in backtesting. The immediate priority is accumulating live trade data — the current calm market gives no signal either way. Longer term, adding an out-of-sample validation split and stress-testing the drawdown profile against 2022-style conditions would meaningfully strengthen the case for capital allocation.