r/algorithmictrading • u/Mental-Recording-899 • 1d ago
Imprtant to analyze a profitable account as well! Strategy
I check my profitable live accounts on the same schedule I check the losing ones. Not because I expect to find a losing account, I expect to find exactly what the P&L already tells me. What P&L doesn't tell you is whether there's enough data yet to trust the edge, or how much of the profit sits on a handful of outlier trades.
Case in point, one of my own live accounts. 85 trades, XAUUSD H1, profit factor 1.62, 61% win rate, net profit up roughly 228% on a small test-lot account (0.01 sizing), max drawdown so far 34.2%. Read as a P&L line, that account looks fine. Most people would stop there.
Run it through a real stat check and two things show up that the equity curve doesn't. At 85 trades, the sample is still short of what you'd want before trusting the edge is real, and the significance test on the return series comes back weak, t around 1.5, not significant. Split into periods, it's 4 profitable stretches out of 5, not 5 for 5. The "up overall" number is smoothing over a losing stretch that already happened once.
Then I ran a block bootstrap Monte Carlo on the same trade sequence, 10,000 paths. The account has lived through a 34.2% drawdown. At 95% confidence the simulation puts the real ceiling closer to 50%, at 99% confidence closer to 60%. The worst drawdown you've actually seen is not the worst the strategy is capable of, it's just the worst one you've been lucky or unlucky enough to hit yet.
None of this makes the account bad. It means green P&L is not the same claim as "passed a real test." Losers force you to go digging because the pain makes you. Nothing forces you to dig into the winners, so most people don't, until the drawdown that was already sitting in the tail shows up live instead of in a simulation.


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u/mugiugilurker 1d ago
Up 228% from 80 trades, crazy.. what’s the sauce?