Financial Analysis Python Module

Overview

A comprehensive Python module for financial data analysis, leveraging various financial APIs to gather, process, and visualize market data. This project aims to provide tools for both technical and fundamental analysis, with a focus on API integration and dynamic visualization.

Features

1. API Integration 🔌

• Unified interface for multiple financial data providers:
  • Yahoo Finance
  • Alpha Vantage
  • Financial Modeling Prep
• Rate limiting and error handling
• Response caching system
• Automatic retry mechanisms

2. Data Processing 📊

• Historical price analysis
• Technical indicators calculation
  • Moving averages (SMA, EMA, VWAP)
  • Momentum indicators (RSI, MACD)
  • Volatility measures
• Portfolio performance metrics
  • Returns calculation
  • Risk assessment
  • Sharpe ratio and other performance metrics
• Data validation and cleaning utilities

3. Visualization 📈

Interactive visualization tools using Plotly:

• Candlestick charts
• Technical indicator overlays
• Volume analysis
• Correlation matrices
• Portfolio performance dashboards

Project Structure

financial_analysis/
├── __init__.py
├── api/                  # API integration modules
│   ├── __init__.py
│   ├── base.py
│   ├── yahoo_finance.py
│   └── alpha_vantage.py
├── analysis/            # Data analysis modules
│   ├── __init__.py
│   ├── technical.py
│   └── portfolio.py
├── visualization/       # Visualization components
│   ├── __init__.py
│   ├── charts.py
│   └── dashboard.py
├── utils/              # Utility functions
│   ├── __init__.py
│   ├── cache.py
│   └── helpers.py
└── tests/              # Test suite
    ├── __init__.py
    ├── test_api.py
    └── test_analysis.py

Installation

Requirements

• Python 3.9 or higher
• pip (Python package installer)

Setup

1. Clone the repository:

   git clone https://github.com/nrob536/financial-analysis.git
   cd financial-analysis

2. Create and activate virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

Usage

Basic Example

from financial_analysis.api import YahooFinance
from financial_analysis.analysis import TechnicalAnalysis
from financial_analysis.visualization import Charts

# Initialize API client
api = YahooFinance()

# Fetch historical data
data = api.get_historical_data("AAPL", start="2024-01-01")

# Perform analysis
analysis = TechnicalAnalysis(data)
sma = analysis.calculate_sma(window=20)
rsi = analysis.calculate_rsi()

# Create visualization
chart = Charts()
chart.plot_with_indicators(data, [sma, rsi])

Development

Setting Up Development Environment

1. Fork the repository
2. Create a new branch:

   git checkout -b feature-name

3. Install development dependencies:

   pip install -r requirements-dev.txt

Running Tests

pytest tests/

Code Style

This project follows PEP 8 style guidelines. Use flake8 for linting:

flake8 financial_analysis

Contributing

1. Fork the repository
2. Create your feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

License

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

Acknowledgments

• Yahoo Finance API
• Alpha Vantage API
• Financial Modeling Prep API
• Plotly visualization library

Roadmap

• Phase 1: Core API Integration

  • Basic API wrapper implementation
  • Data fetching and caching
  • Error handling

• Phase 2: Data Processing

  • Technical indicators
  • Portfolio analytics
  • Risk metrics

• Phase 3: Visualization

  • Interactive charts
  • Dashboard components
  • Export capabilities

• Phase 4: Documentation & Testing

  • API documentation
  • Usage examples
  • Test coverage