Monte Carlo equity analysis tool for GOOGL price simulation
The project estimates Alphabet's future stock price distribution using a geometric Brownian motion Monte Carlo simulation. It runs thousands of paths, outputs percentile outcomes, profit probabilities and a chart, all from a single Python script. Designed for investors or analysts who need a fast, reproducible price outlook without complex finance software. Its clear documentation and self‑contained code make it more accessible than generic finance notebooks.
View on GitHub →Kelvins7/googl-equity-analysis