Group your trades into named playbooks, then run 1,000 Monte Carlo simulations over your real trade history to see the full range of outcomes a strategy could realistically produce — drawdowns included.
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Define each strategy once — a name, tags, and your own rules — then group every trade and replay session under it.
One click resamples your pooled trades 1,000 times over to project the full range of outcomes a strategy could produce — a distribution, not a single guess.
Every playbook carries its own scorecard — net P&L and how many sessions back it — so you can see which setups actually hold up.
Replay sessions you run in Charts & Backtesting roll straight into the matching playbook, so the lab fills itself as you practice.
A Monte Carlo projection is a statistical model of your past trades, not a forecast. MAV labels it clearly and never promises a result.
Most traders judge a strategy on its last few trades. Strategy Lab judges it on the full picture — by resampling your real history many times over, it shows the good runs, the bad runs, and how deep the drawdowns can get before you put more size behind a setup.
Define a playbook, let your trades and replay sessions pool under it, and watch the picture sharpen as your sample grows. Same data, same journal — just pointed at one question: is this edge actually holding up?
Monte Carlo and historical results are hypothetical and carry inherent limitations; they do not predict live outcomes. MAV is a journaling, analytics, and education tool — not financial advice.
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