Backtesting Arena

Backtesting Arena

Does ATR Low Volatility help Fibonacci?

Crypto · 150 backtest runs · As of 20 Jul 2026 · Methodology

HelpsDSR ✗ not confirmed

This filter increases median CAGR by more than 1 percentage point vs. the baseline.

CAGR Comparison

Baseline CAGR
-9.3%
no filter
Filtered CAGR
-3.1%
ATR Low Volatility
Δ CAGR
+6.20%
Sample
150
runs
Baseline Net CAGR
-9.6%
after costs
Filtered Net CAGR
-3.2%
after costs

Risk-Adjusted Performance

Baseline Sharpe
-0.238
median
Filtered Sharpe
-0.096
Δ Sharpe
+0.14
DSR
0.0%
not confirmed

How does this filter work?

Signals only in low ATR regime

DSR Methodology

DSR = PSR(SR̂₀) per Bailey & López de Prado (2014). SR̂₀ = 0.8061 (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 ≥ 90%. Current: 0.0%.

Full analysis in Edge Library

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

← All edge reportsComputed 20 Jul 2026 · Methodology