Backtesting Arena

Backtesting Arena

Does ATR High Volatility help RSI OB/OS?

Crypto · 110 backtest runs · As of 31 Aug 2026 · Methodology

HelpsDSR ✗ not confirmed

This filter increases median CAGR — clearly enough that the entire 90% interval sits above +1 percentage point, not just the point estimate.

CAGR Comparison

Baseline CAGR
-13.3%
no filter
Filtered CAGR
8.7%
ATR High Volatility
Δ CAGR
+7.30%
Sample
110
runs
Baseline Net CAGR
-13.5%
after costs
Filtered Net CAGR
8.2%
after costs

Risk-Adjusted Performance

Baseline Sharpe
0.073
median
Filtered Sharpe
0.567
Δ Sharpe
+0.14
DSR
8.7%
not confirmed

How does this filter work?

Signals only in high ATR regime

DSR Methodology

DSR = PSR(SR̂₀) per Bailey & López de Prado (2014). SR̂₀ = 0.7586 (expected best Sharpe from 9 random filter trials).

Testing multiple filters on the same data increases the chance of finding a good result by luck. DSR measures whether this result clears the multiple-testing threshold. Pass threshold: DSR ≥ 90%. Current: 8.7%.

Full analysis in Edge Library

Per-asset breakdown, trade-level data, Sharpe comparison — available after sign-in.

← All edge reportsComputed 31 Aug 2026 · Methodology