Backtest

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Backtesting

Replay strategies on historical candles with modeled fees and slippage. Past performance estimates do not guarantee future results.

Configure backtest

Replays historical candles bar by bar with modeled fees and slippage. Results are estimates on past data — not a forecast of future performance.

The ML ensemble uses trained model forecasts. Until models are trained for this symbol/timeframe it falls back to rule-based signals.

Runs history

Click a run to reload its stored result

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No backtest selected

Configure a run on the left and press “Run backtest”, or pick a past run from the history. Backtests replay historical candles bar by bar with modeled fees and slippage — results are estimates on past data, not a forecast of future performance.