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.