RSI Mean Reversion

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Strategy

Methodology

This strategy is backtested on daily OHLCV price data across major US equity indices and ETFs. Entry and exit signals are generated from the strategy's indicators with no lookahead bias — trades execute at the open of the bar following the signal.

Performance metrics are computed per symbol and shown individually. The parameter optimization section (where available) runs a grid search over the strategy's key parameters, optimizing for Sharpe ratio. Transaction costs and slippage are not modeled.

The signal logic and indicator code for this strategy is shown in the methodology code section below.

Methodology

Mean-reversion strategy using the Relative Strength Index. Buys when RSI drops below the oversold threshold (default 30), indicating a potential bounce. Exits when RSI rises above the overbought threshold (default 70).

Implementation

class RSIReversion(Strategy):
    n = 14
    oversold = 30
    overbought = 70

    def init(self):
        self.rsi = self.I(_rsi, self.data.Close, self.n)

    def next(self):
        if self.rsi[-1] < self.oversold and not self.position:
            self.buy()
        elif self.rsi[-1] > self.overbought and self.position:
            self.position.close()

Performance metrics

Total return+25.784%
Net profit$257,841
Gross profit$584,930
Gross loss$341,845
CAGR+6.292%
Annualized return+6.292%
Monthly average return+0.513%
Median monthly return+0.447%
Best month return+8.234%
Worst month return-6.005%
Rolling 1-month return+14.998%
Return per trade+1.434
Log return CAGR+25.815%
Compounded vs simple return difference-16.367%

Equity curves

Chart for symbol:

Charts & distributions

2024-03 → 2026-04 · 5-year daily data

Equity curve vs ^GSPC — buy/sell signals

Strategy equityIndex (normalized)▲ Buy▼ Sell

14 trades · green dashes = buy entries · red dashes = sell exits

Drawdown (underwater)

Rolling 1-month Sharpe

Rolling 1-month return (%)

Period return (≈ monthly)

Return distribution (bar returns)

MAE vs MFE (trades)

Rolling 12m Beta

Rolling 12m correlation

Monthly returns (run)

Performance Matrix

Total return+65.320%
Net profit$653,200
Gross profit$825,560
Gross loss$267,170
CAGR+16.320%
Annualized return+16.320%
Monthly average return+1.231%
Median monthly return+2.018%
Best month return+10.874%
Worst month return-2.479%
Rolling 1-month return+20.848%
Return per trade+3.663
Log return CAGR+117.179%
Compounded vs simple return difference-29.283%