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Backtest context vs live trading results

Operational Guidance · Last updated 2026-05-13

How to interpret historical metrics responsibly and avoid overconfidence.

What backtests can tell you

Backtests show how a strategy model behaved against historical data assumptions.

They are useful for context on drawdown, frequency, and regime behavior.

What backtests cannot guarantee

Backtests are not a promise of future returns. Market structure, liquidity, and execution conditions change.

Slippage, fees, latency, and exchange-side conditions can materially change live outcomes.

Safer usage pattern

  • Start with smaller allocation.
  • Use explicit risk caps and stop conditions.
  • Monitor early live behavior before scaling.

Win rate

Win rate is the share of closed trades with positive P&L over the backtest window.

Sharpe ratio

Sharpe ratio measures return per unit of volatility. Higher values imply better risk-adjusted performance in historical data.

Max drawdown

Max drawdown is the largest peak-to-trough equity decline seen in the tested period.

Window return

Window return is total backtest return across the selected historical period.

Sample period

Sample period identifies the date range used for backtest calculations and metrics.

Backtest disclaimer

Backtest metrics are hypothetical and do not guarantee future live trading outcomes.

Still need help?

Open a support ticket with deployment IDs, timestamps, and screenshots for faster investigation.