Monte Carlo Simulator

Stress-test with five simulation methods

Know if your edge is real before risking real money. Five simulation methods, four analysis tabs, one definitive answer.

AlgoChef Monte Carlo simulation showing robustness testing with equity fan chart, score distributions, and confidence intervals
Tab 1

Robustness Test

“Is my edge real or just lucky sequencing?”

Run thousands of simulations across your full trade history. If your strategy only works with trades in the exact order they occurred, it's fragile — and you'll know before risking real money.

  • Robustness Grade: Excellent, Good, Caution, or Failed
  • Tier stability % — how often your CSI score holds its tier
  • Score-by-score tier stability across every simulation
  • Equity fan chart showing all simulation paths
  • Confidence intervals (5th to 95th percentile) on key metrics
AlgoChef Monte Carlo Robustness Grade showing CSI score with Excellent tier stability and per-score robustness gauges
Tab 2

Health Validation

“Does my edge persist out-of-sample?”

Automatically separates an earlier baseline from recent trades, then runs Monte Carlo on each. If the distributions diverge, your strategy may be overfit.

  • Automatic baseline vs recent (IS/OOS) separation
  • Health Score validation against Monte Carlo distributions
  • Method-by-method distribution histograms
  • Divergence quantification between IS and OOS
AlgoChef Health Validation showing Health Score distribution, percentile ranking, and method comparison table
Tab 3

Capital Sizing

“How much capital do I actually need?”

Stop guessing your account size. Capital Sizing uses Monte Carlo simulations to model Risk of Ruin and drawdown probabilities, then estimates the capital you need at your chosen confidence level.

  • Dual curve chart: Risk of Ruin vs Max Drawdown by capital
  • Goal Seek finds your optimal starting capital automatically
  • Margin-aware recommendations (auto-detects margin requirements)
  • Configurable ruin rule (margin plus buffer, or a dollar floor plus drop from peak), drawdown limit, and confidence level
AlgoChef Capital Sizing with Risk of Ruin curve, drawdown threshold, and goal seek configuration
Tab 4

Survival Test

“Will my strategy survive a market crash?”

Seven predefined scenarios progressively degrade your win rate, profit size, and loss size. See exactly when your strategy breaks — and whether you have enough capital buffer to survive.

  • Survivability Score (0–100) with clear status labels
  • 7 scenarios: Baseline to Extreme, plus consecutive-loss streaks
  • Severity-aware survival thresholds
  • Per-scenario survival rates and capital adequacy assessment
AlgoChef Survival Test showing Survivability Score, scenario breakdown with severity ratings, and equity at risk chart

See the full picture, not just one number

Most Monte Carlo tools give you a single worst-case net profit. AlgoChef recalculates all scoring dimensions across every simulation — showing you where your strategy holds up and where it breaks.

AlgoChef equity fan chart showing percentile bands from P5 to P95 across thousands of Monte Carlo simulations

Equity Fan Chart

Percentile bands (P5 through P95) show the range of possible equity paths. A tight fan means robust results. A wide fan means your returns are order-dependent.

AlgoChef Monte Carlo return distribution histogram showing final equity distribution across simulation methods

Return Distribution

See how final equity distributes across thousands of simulations. Narrow distributions with high medians indicate a genuine, repeatable edge.

Five simulation methods, five different insights

Each method reveals a different aspect of your strategy's robustness. Use them together for a complete picture.

Shuffle

Fisher-Yates

Randomly reorders your trades to test path dependency. If performance changes dramatically, your results depend on lucky sequencing.

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