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Monte Carlo simulation: rolling the dice on a strategy

Monte Carlo runs thousands of randomized 'what-ifs' to show the range and likelihood of outcomes — not a single forecast.

Autopilot Options Research · April 21, 2026 · 5 min read

A single backtest tells you what did happen on one particular path through history. But you only get to live one path, and the future won't repeat the past exactly. Monte Carlo simulation is a way to ask the bigger question: across many possible paths, what's the range of what could happen?

The idea

Named after the casino, Monte Carlo simulation runs a process thousands of times with randomized inputs and collects the results. Instead of one outcome, you get a whole distribution of them — a map of what's likely, what's possible, and what's catastrophic.

For a trading strategy, that might mean: take your strategy's win rate and win/loss sizes, then simulate thousands of randomized sequences of trades. Each run is a plausible "alternate history." Together they show the spread of where you might end up — and crucially, how bad the worst plausible runs get.

Why it's useful

A single backtest can flatter you with one lucky ordering of trades. Monte Carlo strips that away:

  • It reveals the range, not just the average. You see best cases, worst cases, and everything between.
  • It exposes drawdown risk. Even a profitable strategy will, across thousands of runs, produce some ugly drawdown paths — and seeing them helps you size for survival.
  • It frames things as probabilities. Instead of "this returns X," you get "here's the chance of ending up below your starting point," which is a far more honest picture.

The caveats

Monte Carlo is only as good as its assumptions. Feed it inputs that ignore fat tails, changing market regimes, or correlation, and it'll produce a tidy, falsely reassuring range. It models the uncertainty you tell it about — not the uncertainty you forgot.

The takeaway

The value of Monte Carlo isn't a precise prediction; it's a mindset. It replaces "this strategy makes money" with "here's the distribution of outcomes, including the bad ones." That shift — from a single hopeful number to a range of possibilities with the downside in full view — is exactly the posture serious risk-thinking demands.


This article is educational and does not constitute investment advice or a recommendation. Options trading involves substantial risk and is not suitable for every investor. Autopilot Options does not guarantee profits or prevent losses. Past performance and historical data do not guarantee future results.

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