MonteCarlo

Monte Carlo simulation engine for Finance Guru’s 4-layer dividend income + margin living strategy. Runs 10,000 market scenarios to project income probabilities, margin safety, and portfolio outcomes over 28 months.

Workflow Routing

Examples

Example 1: Run standard Monte Carlo simulation

User: "Run the monte carlo simulation with current portfolio"
-> Invokes RunSimulation workflow
-> Auto-detects portfolio values from notebooks/updates/Portfolio_Positions_*.csv
-> Runs 10,000 scenarios with v3.0 4-layer model
-> Outputs JSON summary + full CSV + Excel to fin-guru-private/fin-guru/analysis/

Example 2: Incorporate a buy ticket into simulation

User: "Run monte carlo with my new buy ticket from 12-31"
-> Invokes IncorporateBuyTicket workflow
-> Reads buy ticket from fin-guru-private/fin-guru/tickets/buy-ticket-2025-12-31-*.md
-> Adjusts starting portfolio values based on ticket allocations
-> Runs simulation with updated positions

Example 3: Stress test margin safety

User: "What's my margin call probability?"
-> Invokes RunSimulation workflow
-> Focuses on margin_call_rate and margin_ratio metrics
-> Reports 5th percentile (worst case) margin ratio

Key Metrics Produced

Success Metrics

• P($100k income) – Probability of reaching $100k annual dividend income
• P($75k income) – Probability of reaching $75k annual dividend income
• P($50k income) – Probability of reaching $50k annual dividend income
• Margin call rate – % of scenarios triggering margin call (<3:1 ratio)
• Backstop usage rate – % of scenarios requiring business income injection

Portfolio Metrics

• Total portfolio value – Median, P5, P95 at month 28
• Layer 1 (Growth) – PLTR, TSLA, VOO, etc. (no new deployment)
• Layer 2 (Income) – Dividend funds ($11,517/month deployment)
• Layer 3 (Hedge) – SQQQ ($800/month deployment)
• GOOGL position – Scale-in ($1,000/month deployment)

Risk Metrics

• Margin ratio – Portfolio / Margin debt (must stay >3:1)
• Max drawdown – Worst peak-to-trough decline
• Break-even timing – When dividends cover margin draws

Output Files

All outputs saved to fin-guru-private/fin-guru/analysis/:

• monte-carlo-v3-{date}.json – Summary statistics
• monte-carlo-v3-full-results-{date}.csv – All 10,000 scenarios
• monte-carlo-v3-analysis-{date}.xlsx – Excel workbook with charts

Configuration

Simulation parameters are set in fin-guru-private/strategies/dividend_margin_monte_carlo.py:

• Starting portfolio values (auto-detected or manual)
• Monthly deployment amounts
• Bucket allocations and yields
• Margin schedule
• Market regime probabilities

Model Version

v3.0 (Jan 2026) – Full 4-layer portfolio:

• Layer 1: Growth portfolio (market returns only, no new deployment)
• Layer 2: Income portfolio (5-bucket dividend allocation)
• Layer 3: Hedge (SQQQ for crisis protection)
• GOOGL: Scale-in position (diverted from Layer 2)

Fixes applied:

• Floor at $0 for all positions (stocks can’t go negative)
• Full portfolio margin ratio (all layers count toward Fidelity margin)
• Correct starting values from Fidelity CSV