Algorithmic systems
What is a Monte Carlo Simulation and how does it stress-test a futures system's maximum drawdown probability?
By Easy Money Scanner · Educational reference · Not investment advice
The short answer
Monte Carlo simulation randomly reshuffles historical trade sequences thousands of times to estimate a range of possible drawdowns and outcomes, stress-testing a strategy's statistical risk profile.
How it works
By simulating many alternate equity-curve paths from the same trade set, traders estimate worst-case drawdown probabilities beyond what a single historical backtest sequence reveals.
An example
10,000 simulated equity curves estimate max drawdown.
Risk & limitations
Simulations rely on historical trade assumptions remaining valid.
Examples are hypothetical, not trade recommendations. US contract and regulatory references do not automatically apply in Canada. Rules, margin requirements and broker policies can change; confirm them with the relevant authority and your broker.