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# Brief Review of the So-Called "AI Auto-Iteration to Find Optimal Strategy" GitHub Project
If you understand the basics, you can skip this—this is just marketing nonsense.
**Key Issues:**
1. **Sharpe 20.6, max drawdown 0.3%—almost certainly overfitted.** This literally cannot happen in reality. Even the Medallion Fund wouldn't claim a Sharpe ratio of 20. This is a red flag.
2. **All 103 experiments evaluated on the same data segment, without accounting for funding rates or maker/taker fees.** The backtest is incomplete and unrealistic.
3. **The git reset/keep mechanism just uses "history" as a training set—it's not true out-of-sample validation.** It's not a proper walk-forward test or genuine OOS backtesting methodology.
**Bottom line:** Completely useless + gimmicky. Not worth your time.