Monte Carlo Simulation
Run probabilistic simulations on financial models with confidence intervals and risk metrics.
Anthropic's official Monte Carlo simulation skill enables AI agents to run thousands of probabilistic scenarios on financial models. It handles probability distributions for uncertain inputs, models correlations between variables, and generates confidence intervals at 90% and 95% levels. The skill also calculates Value at Risk metrics and produces distribution charts for risk analysis. Integrates with DCF and other valuation models for probabilistic valuation. For educational and productivity use only. Always verify AI-generated outputs with a qualified professional before acting on them.
Use Cases
- βRun probability distributions on valuation inputs
- βGenerate confidence intervals for financial forecasts
- βModel correlation between uncertain variables
- βCalculate Value at Risk using simulation
Trigger Phrases
How to Install
Copy the skill content, paste it into your AI agent's system prompt or project instructions, then describe your task.
Paste the skill link or content into your AI agent's system prompt or project instructions.
Requirements
- Claude Code or equivalent
- Python 3.9+ (for script execution)
- Base financial model with uncertain inputs