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Alpha-Park

Personal Agent Financial Runway Monte Carlo

by Alpha-Park
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Python
Remote

genpark-personal-agent-financial-runway-monte-carlo-skill

Tests License Python Dependencies Coverage

GenPark Personal Agent Financial Runway Monte Carlo provides zero-dependency personal finance modeling, simulating stochastic income shocks and deriving safe discretionary burn caps.

flowchart TD
    A[Liquid Assets & Fixed/Variable Burn] --> B[Box-Muller Gaussian Stochastic Generator]
    B --> C[500-Path Monte Carlo Runway Simulation]
    C --> D[Empirical Probability of Ruin & P10 Wealth]
    E[Target Horizon & Reserve Floors] --> F[Safe Discretionary Burn Budget Calculator]
    D & F --> G[Personal Financial Fiduciary Plan]

Features

  • Monte Carlo Runway Simulation: Evaluates 500 stochastic paths incorporating income volatility.

  • Safe Discretionary Burn Budget: Recommends daily and monthly spending caps to preserve runway.

  • Emergency Liquidity Buffer: Quantifies zero-income survival days and resilience tiers.

Related MCP server: HowRisky MCP Server

Quickstart

from client import PersonalAgentFinancialRunwayMonteCarlo

fiduciary = PersonalAgentFinancialRunwayMonteCarlo()
res = fiduciary.compute_safe_discretionary_burn_budget(60000.0, 2500.0, 12)
print("Safe Daily Spend:", res["safe_daily_discretionary_spend_usd"])

FastMCP Integration

python -m genpark-personal-agent-financial-runway-monte-carlo-skill.mcp_server

License

MIT

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Maintenance

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