Backtesting Arena

Backtesting Arena

Does ATR Low Volatility help EMA Cross?

Forex ยท 30 backtest runs ยท As of 13 Jul 2026 ยท Methodology

NeutralDSR โœ— not confirmed

No material CAGR effect (ยฑ1pp vs. baseline). Filter may still reduce drawdown.

CAGR Comparison

Baseline CAGR
0.2%
no filter
Filtered CAGR
-0.6%
ATR Low Volatility
ฮ” CAGR
-0.70%
Sample
30
runs
Baseline Net CAGR
0.0%
after costs
Filtered Net CAGR
-0.7%
after costs

Risk-Adjusted Performance

Baseline Sharpe
-0.055
median
Filtered Sharpe
-0.245
ฮ” Sharpe
-0.19
DSR
0.0%
not confirmed

How does this filter work?

Signals only in low ATR regime

DSR Methodology

DSR = PSR(SRฬ‚โ‚€) per Bailey & Lรณpez de Prado (2014). SRฬ‚โ‚€ = 0.4447 (expected best Sharpe from 7 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 โ‰ฅ 90%. Current: 0.0%.

Full analysis in Edge Library

Per-asset breakdown, trade-level data, Sharpe comparison โ€” available after sign-in.

โ† All edge reportsComputed 13 Jul 2026 ยท Methodology
ATR Low Volatility + EMA Cross on Forex โ€” Edge Analysis | Backtesting Arena