The Thesis
RSI Snap-Back is built on a straightforward premise: the seven largest US technology companies — Apple, Microsoft, Nvidia, Alphabet, Amazon, Meta, and Tesla — tend to recover sharply after short-term momentum exhaustion. The strategy buys when RSI falls below 35 and exits when it rises above 70, maintaining a hard cap of four concurrent positions. That four-slot discipline is deliberate: it enforces concentration in the highest-conviction oversold names rather than spreading capital thinly across the full universe.
Backtest Performance
Over a 451-day backtest, RSI Snap-Back produced a 20.95% total return on a $10,000 paper book, finishing at $12,095. Annualised, that works out to an 11.21% CAGR — respectable for a strategy that sits in cash most of the time.
The trade log tells a disciplined story: 37 trades across 451 days, averaging roughly one trade every 12 days. Win rate clocked in at 66.7%, meaning two-thirds of closed positions were profitable. Turnover ran high at 773%, reflecting the rotational nature of the book as individual names cycle in and out of oversold territory.
The Sharpe ratio of 0.61 is modest — the strategy generates returns, but not without volatility. That context matters when reading the 23.73% maximum drawdown, which is the sharpest risk to flag. A peak-to-trough decline of nearly a quarter of the book means this strategy demands patience and a stomach for short-term pain. For a mean-reversion approach on names that can gap down hard on earnings or macro shocks, that drawdown ceiling is plausible, but investors should size accordingly.
Recent Activity: Waiting for the Signal
The strategy has been live since deployment, running scheduled scans every trading day at 19:00 UTC. The most recent six sessions — June 2 through June 9 — each returned the same result: zero trades executed, zero rejected, full $10,000 in cash.
That isn't a malfunction — it's the strategy working as designed. RSI Snap-Back only enters when a Mag-7 name is genuinely beaten down below RSI 35. With large-cap tech broadly firm heading into mid-June 2026, none of the universe names have hit that threshold. The book sits flat at $10,000, waiting.
This idle stretch is worth watching. Extended cash periods are a feature of disciplined mean-reversion systems, but they also highlight the strategy's opportunity cost: capital parked in cash earns nothing while the broader market may be moving.
Strengths
- High win rate (66.7%) suggests the RSI entry/exit levels are well-calibrated for this universe.
- Hard 4-slot cap prevents over-diversification and enforces conviction.
- Universe concentration in Mag-7 keeps liquidity risk near zero for paper-trade sizing.
Risks to Watch
- No validation data yet. Backtest metrics are promising, but walk-forward or out-of-sample validation hasn't been run. Overfitting to a single 451-day window is a real concern for any RSI-tuned system.
- 23.73% max drawdown is steep and could be worse in a coordinated sector sell-off where all seven names crater simultaneously.
- High turnover (773%) would translate to meaningful friction costs in a live account — the $37 total fees in the backtest are negligible at paper-trade scale, but not at institutional sizing.
- Regime dependence: mean-reversion strategies struggle in trending markets. A sustained tech rally or a prolonged sector rotation out of Mag-7 could keep this strategy in cash indefinitely.
Bottom Line
RSI Snap-Back is a clean, rule-based system with an honest edge in the backtest. The current idle stretch isn't a red flag — it reflects selectivity. The priority before treating this as production-ready should be running proper out-of-sample validation; the backtest numbers alone are not sufficient grounds for deployment at real capital.