Python Algorithmic Trading Course – Massive, SnapTrade & Alpaca Integrations

Learn how to build a complete algorithmic paper trading system from the ground up using Python and Django. This hands-on course guides you through configuring a pipeline that connects market data from Massive, manages portfolios securely via SnapTrade, and routes automated signals to a simulated Alpaca account for risk-free execution. By the end of this tutorial, you will have a fully functional web dashboard that calculates 12-month momentum scores across a 50-stock universe to generate and execute trade recommendations. Course resources: https://snaptrade.com/fcc1 Sign up for Massive: https://massive.com/?utm_source=youtube&utm_medium=video&utm_campaign=freecodecamp&utm_content=tutorial__stocks 🏗️ SnapTrade provided a grant to make this course possible. ⭐️ Chapters ⭐️ - 0:00:00 Introduction & Course Overview - 0:00:44 Setting Up a SnapTrade Account - 0:02:16 Creating a Massive Account - 0:03:33 Setting Up an Alpaca Account - 0:06:47 Alpaca UI Tour - 0:07:56 Project Preview - 0:15:57 Local Environment Setup - 0:17:33 Installing Django - 0:22:26 Creating Django Apps - 0:25:26 Database Modeling - 0:41:59 Configuring the Django Admin - 0:47:35 Massive API Integration - 1:08:59 SnapTrade API Integration - 1:23:38 Strategy & Momentum Services - 1:29:52 UI Development - 1:35:01 Backfilling Data & Testing