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🎲 Monte Carlo Portfolio Simulator

Simulate thousands of possible outcomes based on historical volatility

Portfolio Setup

🎲

Add a position and run simulation

Uses historical volatility from Hyperliquid to simulate thousands of possible outcomes

Methodology

This simulator uses Geometric Brownian Motion (GBM) to model price paths based on historical volatility calculated from 5-minute candles over the past 7 days. For portfolios, we account for asset correlations using a Cholesky decomposition of the correlation matrix.

VaR (Value at Risk) represents the maximum loss at a given confidence level. CVaR (Conditional VaR), also called Expected Shortfall, is the average loss in the worst X% of scenarios — a more conservative risk measure.

⚠️ Past volatility does not guarantee future results. This is for educational purposes only.