NeuroBacktest
Risk Analysis

Run Monte Carlo Simulations on Your Trading Strategy

Estimate drawdown probabilities, risk of ruin, and return distributions with Monte Carlo simulation.

The Problem

A single backtest shows one path, but markets are random; Monte Carlo reveals the distribution of possible futures.

The Solution

Reshuffle historical trades and price paths thousands of times to estimate realistic drawdowns and returns.

Why traders use this

Estimate probability of max drawdown

Measure risk of ruin and streaks

Compare strategy robustness across scenarios

Export statistical reports

How it works

1

Import trade history

Use your backtest trade list as the input distribution.

2

Set simulation count

Run 1,000+ randomized paths for statistical significance.

3

Analyze distributions

Review return and drawdown percentiles.

4

Adjust sizing

Reduce exposure if worst-case outcomes exceed your tolerance.

Start backtesting smarter today

Join traders who use NeuroBacktest to turn ideas into data-backed strategies.