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An algorithmic trading program that analyzes the best stocks to buy using the Momentum strategy. The Ken Frenchs approach is used; thus the past year - except the last month- is analyzed. Stock data is web scraped (using Pandas Datareader) from Yahoo Finance; Pandas, Numpy are both used for the analysis. Finally the Robinhood private-api is used to automatically buy the stocks and sell after 30 days. The time and stock prices are both sent to a Firebase realtime database. The program is hosted on a google cloud server. Bash CLI: tmux and vim are used to edit and run the script. Hence a realtime connection is established between the python program and Android Frontend that I created to track process on the go.

Python 95.99% Shell 0.01% PowerShell 0.02% C 2.94% Cython 0.51% XSLT 0.48% Fortran 0.03% Smarty 0.01% Java 0.02%

algorithmic-trading-19's Introduction

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Algorithmic Trading - Momentum strategy, Python & Java

An Algorithmic Trading Program that momentum and that....
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Details

Created an automatic Trading algorithm that....

Backend

Frontend

Contributing

Contributions from anyone who wants to make a meaningful change are much appreciated!

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/NewFeature)
  3. Commit your Changes (git commit -m 'Add some NewFeature')
  4. Push to the Branch (git push origin feature/NewFeature)
  5. Open a Pull Request

Contact

Hammam Ziadeh - [email protected]

Project Link: https://github.com/hammamziadeh10/Algorithmic-Trading

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Contributors

hammamziadeh10 avatar

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