Python-for-Finance

Overview

Hands-on notebooks exploring investment fundamentals and financial data analysis. Built as a learning sandbox for data retrieval, risk/return analysis, and portfolio experiments.

Key Features

• Data ingestion from Yahoo Finance via yfinance and pandas-datareader.
• Exploratory analysis and visualization with Pandas/NumPy/Matplotlib.
• Experiments with portfolio theory, CAPM, and Monte Carlo simulations.

Tech Stack

Python 3.13, Jupyter Notebook, Pandas, NumPy, SciPy, Statsmodels, Matplotlib, Poetry

Architecture

Notebook-centric project with ad-hoc scripts; no web server or API components.

Performance & Accessibility

Uses vectorized operations (NumPy/Pandas) for efficient analysis. Accessibility not applicable to notebooks.

Prerequisites

• Node.js: 18.17.0
• Python 3.13 and Poetry for environment management

Installation

git clone https://github.com/maxgalchenko/Python-for-Finance.git
cd Python-for-Finance
npm install

Quick Start

npm run dev
# Production
npm run build
npm start

Open http://localhost:8888

Available Scripts

• npm run dev – Not used in this repo (notebook-driven workflow)
• npm run build – Not used in this repo
• npm test – Not used in this repo

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Built with ❤️ by Maksym Galchenko