Thesis in Brief
RSI Snap-Back is a disciplined mean-reversion play on the seven largest US tech names — Apple, Microsoft, Nvidia, Alphabet, Amazon, Meta, and Tesla. The logic is straightforward: when any of these names gets short-term beaten down enough for its RSI to fall below 35, the strategy enters a position; it exits when RSI climbs above 70. A hard cap of four concurrent positions enforces focus and limits the damage any single reversal can do to the overall book.
The appeal is structural rather than speculative. Large-cap tech names attract deep institutional liquidity and mean-revert more reliably than small-caps precisely because their fundamentals rarely change as fast as their price does. The strategy bets that short-term momentum extremes are mispriced.
Backtest Performance
Over a 451-day test window, RSI Snap-Back returned 20.95% on a starting equity of $10,000 — ending at $12,095. The implied CAGR is 11.21%, a reasonable hurdle for a strategy that trades only seven names.
The 66.67% win rate across 37 trades is encouraging; two-thirds of entries resolved profitably. A Sharpe ratio of 0.61 is modest but not surprising for a mean-reversion approach — these strategies tend to earn steadily and then give back a chunk during trending markets when oversold names keep falling.
The 23.73% maximum drawdown is the figure worth sitting with. It is real and material. A trader who entered live just before that drawdown trough would have watched nearly a quarter of their capital evaporate before the strategy recovered. Position-sizing discipline — never more than four concurrent names — helps bound the damage, but it does not eliminate it.
Turnover of 773% annualized reflects active rotation. With flat $1-per-trade fees and no FX costs (USD-only universe), friction is minimal at this scale.
Recent Activity: Waiting for the Setup
The six most recent scheduled runs — July 2 through July 9 — each show zero executions and zero rejections, with the paper book sitting fully in cash at $10,000. The strategy ran its RSI scans on schedule and found nothing in the Mag-7 universe oversold enough to justify entry.
This is not a malfunction. It is the strategy working as designed. RSI Snap-Back is selective; it would rather hold cash than chase a setup that does not meet its criteria. Six consecutive idle days does, however, suggest that Mag-7 names have been trading in a constructive range — momentum extremes have not materialized recently.
For context: no live trade data exists for this strategy yet, so all return figures reflect the backtest period, not realized paper-trading results.
Strengths and Risks
Strengths
- Clean, falsifiable rules — entry and exit thresholds are unambiguous
- Universe limited to names with deep liquidity and reliable price discovery
- Four-slot book cap prevents overconcentration during correlated drawdowns
- Low fee drag keeps the edge intact at small and medium scale
Risks
- Mean reversion fails in sustained trending regimes — a multi-month Mag-7 rally or collapse can keep RSI outside the entry band for extended periods, leaving capital idle
- 23.73% max drawdown demands tolerance for pain; live traders may capitulate before recovery
- 37 trades is a thin sample; the 66.67% win rate has wide confidence intervals
- No validation run is recorded yet — the backtest has not been stress-tested against out-of-sample data, which leaves overfitting risk unquantified
What to Watch
The strategy's next meaningful signal will come from whether the idle streak resolves via a genuine oversold entry or simply extends through a momentum-driven market that never touches RSI 35. Either outcome is informative. An out-of-sample validation pass would significantly strengthen confidence in the backtest metrics before any capital commitment scales up.