BitBank

Neural Trading Performance

Live forecast MAE plus Sharpe, Sortino, drawdown, PnL, and win-rate stats for our trading algorithms

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30-Day Return
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Sharpe Ratio
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Sortino Ratio
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Max Drawdown
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Win Rate
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Total Trades

Forecasting Accuracy

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1H MAE
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1H Error Stdev
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7H MAE
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7H Error Stdev
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1D MAE
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1D Error Stdev
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7D MAE
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7D Error Stdev
Lookback: -- days • Samples: -- (1H), -- (7H), -- (1D), -- (7D)
MAE is the mean absolute percent error between predicted and realized prices at each horizon. Lower MAE means the forecasts were closer to the realized market price.

Buy/Sell Levels Over Time

Trading Bot Playthrough

Time: -- Equity: -- Return: -- Trades: --
Watch the bot's walk-forward strategy replay over real market data: buy/sell levels update each hour, triangles mark simulated entries and exits (fills at next candle open with fees + 5bps slippage), and the lower panel tracks equity. Drag the slider to scrub.

Historical Forecast Explorer

Hover or scrub over any candle to see the 7-day forecast made at that moment, its confidence band, and what actually happened
Hover a candle to inspect a historical forecast
Every candle stores the 7-day-ahead forecast our model produced at that close. The dashed line is that forecast, the shaded cone is the realized MAE band at each horizon, and the dotted line is what the market actually did next.

Performance by Trading Pair

Pair Return Sharpe Sortino Win Rate Trades
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About Our Metrics

Sharpe Ratio measures risk-adjusted returns. Values above 1.0 indicate good performance, above 2.0 is excellent. It compares excess returns to total volatility.

Sortino Ratio is similar but only penalizes downside volatility. Higher values indicate better downside risk management - important for capital preservation.

Forecast MAE tracks prediction error separately from trading performance, so you can see both forecast precision and whether the strategy converted those forecasts into risk-adjusted returns.

Buy/Sell Levels show the neural network's predicted optimal entry and exit prices over time, generated by our transformer models trained on historical market patterns.

All metrics are calculated from live simulated trades on our neural trading system. Past performance does not guarantee future results.