Backtest any configuration across 60+ crypto assets. Pro members can deploy these exact settings via the TradingView strategy.
| Year | J | F | M | A | M | J | J | A | S | O | N | D | Yr |
|---|
| Asset | Trades | Win Rate | Avg Ret | Total Ret | Bull | Bear | Bull WR | Bear WR |
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| Exit Date | Asset | Side | Regime | Conviction | Return | TP Return | Days |
|---|
Assumptions & Methodology
All backtesting is performed client-side using historical signal data from 2019–2026 across 65 crypto futures assets.
Fees: 0.05% per trade (entry + exit) + 0.03%/day estimated funding cost.
Starting equity: $10,000. Position sizing applies to the specified percentage of current equity at the given leverage.
Regime classification: Bull = BTC above 200-day EMA; Bear = BTC below 200-day EMA.
Signals are generated by the v11 scoring engine which evaluates multi-timeframe momentum, trend alignment, market cycle positioning, and risk-adjusted indicators.
Dynamic sizing combines four factors: score-proportional scaling, volatility adjustment, regime multipliers, and drawdown-adaptive reduction.
Past performance is not indicative of future results. Trading crypto futures involves substantial risk of loss.
Pro Tip
The filters and settings on this page can be applied directly in the TradingView strategy available to Professional tier members.
Experiment here first, then deploy your preferred configuration live.