Algorithmic Trading with Bitcoin & Stocks

Technology Stack

TRUFFLE SUITE

• Truffle
• Ganache
• Drizzle

NODE.JS / NPM

• WebSocket Cat

PYTHON

• Python WebSocket Client
• Alpaca Trade API
• Streamz 0.6.1
• Oanda V20 API
• TPQOA

Objective

The objective of our group is to create an algorithmic trading strategy, using Python/JupyterNotebook and the Alpaca API, which will monitor assets and make trades according to a momentum strategy. We will then leverage our algorithmic trading strategy as a service, which investors may take advantage of, through the purchasing of our tokens on a blockchain network.

Challenges

• Abide by the SEC and their KYC/AML regulations
• Backtesting trading strategies with Alpaca data

Contributors

Luis Aguilar, Prasanna Devalaraju, Richard Torres and Scott Ferguson

Code Citations and Inspirations

Python for Algorithmic Trading by Yves Hilpisch (O'Reilly). Copyright 2021 Yves Hilpisch, 978-1-492-05335-4