Backtesting

Backtesting engine built for real market stress, not vanity charts.

Historical replay, scenario presets, and regime-based comparisons are presented as a standalone product surface because trust in strategy logic should not depend on one hero chart.

Strategy: BTC AI Momentum
Asset: BTC
Range: 1Y
Regime: Balanced
Scenario: Volatility shock
Cumulative return
+39.5%
Max drawdown
-8.4%
Trade distribution
3,418 runs
Regime compatibility
Trend + balanced liquidity
Liquidity drought

Stress-tested preset showing how AIQuant adjusts entries, allocation, and venue selection when execution quality deteriorates.

Momentum unwind

Stress-tested preset showing how AIQuant adjusts entries, allocation, and venue selection when execution quality deteriorates.

High dispersion rotation

Stress-tested preset showing how AIQuant adjusts entries, allocation, and venue selection when execution quality deteriorates.

Methodology

Backtests are labeled clearly as historical or simulated depending on the source of the underlying scenario data.

Execution assumptions incorporate venue routing, volatility gating, and AI allocation policy rather than raw price-only extrapolation.

AIQuant does not custody assets or provide financial advice.

Historical and simulated performance is not guaranteed.