GitHub - rvats20/Python-Financial-Analysis: This repository contains a collection of Python scripts and Jupyter notebooks for analyzing financial data. Whether you're a data scientist, financial analyst, or just someone interested in finance, you'll find useful tools here to help you make sense of financial data.

Python Financial Analysis

Welcome to the Python Financial Analysis repository! This project is designed to provide tools and scripts for performing financial analysis using Python.

Table of Contents

  • Capital Asset Pricing Model (CAPM)

  • Portfolio Assets Allocation and Statistical Data Analysis

  • Portfolio Assets Allocation and Statistical Data Analysis

  • Portfolio Optimization _ Monte Carlo Simulations

  • Stocks Data Analysis and Visualization

  • Stocks Data Analysis and Visualization

  • Trading Using Momentum Indicator

  • Trading Using Moving Average

Introduction

This repository contains a collection of Python scripts and Jupyter notebooks for analyzing financial data. Whether you're a data scientist, financial analyst, or just someone interested in finance, you'll find useful tools here to help you make sense of financial data.

Features

  • Data extraction from various financial APIs
  • Data cleaning and preprocessing
  • Financial metrics calculation (e.g., ROI, volatility)
  • Visualization of financial data
  • Predictive modeling using machine learning

Installation

To get started, clone the repository and install the required dependencies:

git clone https://github.com/yourusername/Python-Financial-Analysis.git
cd Python-Financial-Analysis
pip install -r requirements.txt

Usage

Explore the Jupyter notebooks in the notebooks directory to see examples of financial analysis. You can also run the scripts in the scripts directory for specific tasks.

# Example of running a script
python scripts/analyze_stock.py --ticker AAPL

Contributing

We welcome contributions! Please read our contributing guidelines to get started.

License

This project is licensed under the MIT License. See the LICENSE file for details.