MonteCarlo

To run Monte Carlo simulations on Fidelity portfolio CSV exports, invoke the RunSimulation workflow to auto-detect current values from Portfolio_Positions_*.csv files. The model then projects 10,000 market scenarios across Growth, Income, Hedge, and GOOGL layers, outputting JSON summaries, full scenario CSVs, and Excel analyses.

Yes, you can evaluate margin safety and income probability using Monte Carlo simulations. The Skill projects 10,000 market scenarios across your portfolio layers to quantify risk under uncertainty, generating date-stamped JSON summaries and Excel analyses that detail income distributions and margin stress tests.

The best way to forecast portfolio risk across multiple asset layers is running a 10,000-scenario Monte Carlo simulation. This Skill projects outcomes across Growth, Income, Hedge, and GOOGL layers, providing probabilistic distributions of value and income to quantify risk under uncertainty.

Yes, you need Fidelity CSV exports to initialize portfolio risk simulations. The Skill auto-detects current values specifically from Portfolio_Positions_*.csv files to set up the 10,000-scenario Monte Carlo model across your Growth, Income, Hedge, and GOOGL portfolio layers.

The Monte Carlo portfolio simulation generates JSON summaries, full results CSVs, and Excel analyses for stakeholder review. All outputs are date-stamped for traceability, detailing projected distributions of value, income probabilities, and margin safety across 10,000 market scenarios.

You should use Monte Carlo simulation instead of static portfolio forecasting when you need a probabilistic view of portfolio outcomes under uncertainty. It projects 10,000 market scenarios across multiple asset layers to quantify income probability, margin safety, and risk distributions.