Intelligence Walkthrough

Monte Carlo Projections

Run 10,000-path simulations to model your financial future. See probability distributions instead of single-line projections.

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Overview

What are Monte Carlo Simulations?

Monte Carlo simulations model thousands of possible futures for your portfolio by randomly sampling returns within historical ranges. Instead of a single straight line (which assumes constant 7% growth), you get a fan chart showing best-case, worst-case, and median outcomes. This accounts for sequence-of-returns risk—the reality that market timing matters, especially in early retirement.

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Step by Step

Step-by-Step Guide

1. Connect Your Brokerage

Monte Carlo requires brokerage data. Navigate to Holdings → Accounts and connect via SnapTrade (Pro feature).

2. Create a Simulation

Navigate to Intelligence → Projection and click “New Simulation.”

  • Name: e.g., “Retirement at 65,” “Early Retirement Scenario”
  • Time Horizon: Years to project (typically 20-40 for retirement planning)
  • Sampling Method: Lognormal (recommended—matches real market behavior)
  • Inflation Preset: Historical Average (3.2%), or choose High/Low/None
  • Account Selection: Choose which accounts to include (toggle each on/off)

3. Interpret Results

The simulation runs 10,000 paths and shows a fan chart with percentiles.

  • Median (50th percentile): The middle outcome—half of paths do better, half worse
  • 90th percentile: Optimistic case—only 10% of paths exceed this
  • 10th percentile: Pessimistic case—90% of paths do better than this
  • Toggle between Nominal Dollars (face value) and Real Dollars (inflation-adjusted)
  • The shaded area shows the range of probable outcomes

4. Edit and Compare

Click the three-dot menu on any simulation to edit parameters or delete.

  • Run multiple simulations with different assumptions (e.g., retire at 60 vs 65)
  • Compare scenarios side-by-side on the Intelligence landing page
  • Asset-allocation-aware returns: the engine reads your actual holdings (stocks, bonds, cash) and samples accordingly
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Pro Tips

Pro Tips

  • Use lognormal sampling: It's the only method that models realistic market skew (small gains are common, huge losses are rare).
  • Focus on the 10th percentile: If you can survive the worst 10% of outcomes, you're well-prepared for volatility.
  • Rerun simulations quarterly: As your portfolio grows and market conditions change, update your projections to stay aligned with reality.

Ready to Get Started?

Join Rikdom and start running advanced portfolio simulations.