Metadata-Version: 2.1
Name: pygbm_liz
Version: 0.1.0
Summary: A package to simulate Geometric Brownian Motion
Author-email: Liz Tan <eszt2@cam.ac.uk>
License: MIT
Keywords: geometric brownian motion,stochastic processes,finance,simulation
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy>=1.18.0
Requires-Dist: matplotlib>=3.0.0

# pygbm

This project simulates Brownian motion and geometric Brownian motion (GBM) for stochastic processes. It includes classes for creating and visualizing these simulations.

## Project Structure

- `Dockerfile`: Configuration for Docker to set up the project environment.
- `pygbm/`: Main package directory containing the source code.
- `docs/`: Documentation generated by Sphinx.
- `requirements.txt`: Dependencies for the project.

## Installation

1. Clone the repository:
   ```bash
   git clone https://github.com/elizabethsztan/pygbm.git
