SD1H4H — Bitcoin (BTC/USD) Multi-TF Structure Backtest Variant Model (LuxAlgo)

Dukascopy 1-minute BID data, Jan 2022 → present · Bitcoin (BTC/USD) (BTCUSD)
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Monte Carlo Simulation

Bootstrap-resamples this strategy's own historical, NET-of-costs R-multiples (same trades the Trading Costs page uses) WITH replacement to build 2,000 alternate trade sequences, each as long as the real historical trade count — this captures the actual distribution's shape (fat tails, losing streaks, the real win rate) rather than assuming a clean win-rate/reward:risk model, and is cost-inclusive by construction. Starting balance $1,000, 1% of current balance risked per trade, compounding.

Caveat: bootstrap resampling assumes trades are independent (no serial correlation) — this project's own regime/walk-forward analysis found session and regime effects that mostly don't survive rigor, which supports independence as a reasonable approximation, but it isn't literally true for a trend-following-style structure strategy in real markets with regime persistence. Treat the figures below as a model of the historical trade distribution's dispersion, not a guarantee of future behavior.

Strategy A

Probability of Profit
80.0%
Risk of Ruin (≤50% of start)
0.05%
Median Max Drawdown
21.81%
95th Pct Worst Drawdown
37.82%
Expected Value / Trade
+0.512R
Median Profit Factor
1.575

Final balance after 99 trades, across 2,000 simulations — 5th pct $741, 25th pct $1,071, median $1,423, 75th pct $1,963, 95th pct $3,213.

Monte Carlo equity distributionFinal balance distribution

Strategy B

Probability of Profit
88.4%
Risk of Ruin (≤50% of start)
0.0%
Median Max Drawdown
18.33%
95th Pct Worst Drawdown
32.37%
Expected Value / Trade
+0.928R
Median Profit Factor
1.968

Final balance after 73 trades, across 2,000 simulations — 5th pct $847, 25th pct $1,234, median $1,656, 75th pct $2,305, 95th pct $3,903.

Monte Carlo equity distributionFinal balance distribution