F.I.R.E. Monte Carlo Simulation Using Python

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F.I.R.E. Monte Carlo Simulation Using Python #Programming #Python #finance #stocks #portfolio Description: Simulate your F.I.R.E. (Financial Independence, Retire Early) portfolio using Monte Carlo simulation and the 4% rule. This Python program is a retirement portfolio stress test designed for FIRE (Financial Independence, Retire Early) planning. It uses Monte Carlo simulation to model 1,000 possible market scenarios over a 30-year retirement horizon, helping users assess whether their portfolio can sustain annual withdrawals without running out of money. Features: -Monte Carlo engine: Runs 1,000 randomized simulations over 30 years. -Annual portfolio rebalancing: Applies weighted returns from stocks, bonds, and cash. -Spending drawdown logic: Deducts fixed annual withdrawals from portfolio balance. -Early termination: Stops simulation if portfolio hits zero before 30 years. Realistic assumptions: -Stocks: 8% return, 15% volatility -Bonds: 3% return, 5% volatility -Cash: 1% return, 1% volatility Disclaimer: The material in this video is purely for educational purposes and should not be taken as professional investment advice. Invest at your own discretion. Links: 4% Rule: Trinity Study: Trinity Study Simulation: Note: In the video I misspelled withdrawal rate, but hopefully that doesn't bother anyone or stop you from enjoying the video :) ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ ⭐Please Subscribe !⭐ ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ 🐦🔥🐤 Support The Channel🐤🔥🐦 ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ ⭐Get the c
  2025/10/03      youtube

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