Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/shashankvemuri/finance

150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
https://github.com/shashankvemuri/finance

algorithmic-trading data-science finance machine-learning pandas python quantitative-finance stock stock-market stocks technical-indicators trading-strategies

Last synced: 4 days ago
JSON representation

150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data

Awesome Lists containing this project

README

        

# Finance

## Introduction
Welcome! Finance is a collection of 150+ Python for Finance programs for gathering, manipulating, and analyzing stock market data.

Below you will find more information about how the repository is organized as well as usage and setup instructions!

## Organization
Our repository is organized into several key sections:

### [find_stocks](/find_stocks)
Programs to screen stocks based on technical and fundamental analysis.

### [machine_learning](/machine_learning)
Introductory machine learning applications for stock classification and prediction.

### [portfolio_strategies](/portfolio_strategies)
Simulations of trading strategies and portfolio analysis tools.

### [stock_analysis](/stock_analysis)
Detailed analysis tools for individual stock assessment.

### [stock_data](/stock_data)
Tools for collecting stock price action and company data via APIs and web scraping.

### [technical_indicators](/technical_indicators)
Visual tools for popular technical indicators like Bollinger Bands, RSI, and MACD.

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

```bash
git clone https://github.com/shashankvemuri/Finance.git
cd Finance
pip install -r requirements.txt
```

## Usage
Detailed instructions on how to use each program can be found within their respective directories. Explore different modules to discover their functionalities.

Each script in this collection is stand-alone. Here's how you can run a sample program:

```bash
python example_program.py
```

## Contributing
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are **greatly appreciated**.

## Authors
- [@shashankvemuri](https://www.github.com/shashankvemuri)

## License
This project is licensed under the [MIT License](LICENSE).

## Acknowledgements
- [Stock_Analysis_For_Quant](https://github.com/LastAncientOne/Stock_Analysis_For_Quant/tree/master/Python_Stock/Technical_Indicators) by [LastAncientOne](https://github.com/LastAncientOne)

## Disclaimer
*The material in this repository is for educational purposes only and should not be considered professional investment advice.*