Research method · beginner guide
What a Monte Carlo trading test tells you
Monte Carlo analysis repeatedly resamples a strategy’s completed trade outcomes. The resulting distribution shows how the measured sequence can vary when the same sample of trades occurs in a different order or resampled combination.
What it can help you inspect
Compare a median outcome with lower-tail paths, observe drawdown variation and see whether a result depends on a few unusually favorable trades. In SYNBAI Nexus, the test operates on completed out-of-sample trades and supports a repeatable random seed.
What it does not do
It does not generate future market prices, recreate intrabar paths, model serial dependence completely, verify broker fills or remove selection bias. A reassuring distribution on one historical holdout is not proof of future profitability.
Make the test useful
Use realistic costs, enough completed trades, a separate chronological holdout and multiple walk-forward windows. Re-run on new data when it becomes available and preserve the exact dataset and parameters with the result.
Monte Carlo is one robustness view among several. It is not investment advice or a guarantee.