This repository

• Section 1: Algorithmic Trading Fundamentals
  • What is Algorithmic Trading?
  • The Differences Between Real-World Algorithmic Trading and This Course
• Section 2: Course Configuration & API Basics
  • How to Install Python
  • Cloning The Repository & Installing Our Dependencies
  • Jupyter Notebook Basics
  • The Basics of API Requests
• Section 3: Building An Equal-Weight S&P 500 Index Fund
  • Theory & Concepts
  • Importing our Constituents
  • Pulling Data For Our Constituents
  • Calculating Weights
  • Generating Our Output File
  • Additional Project Ideas
• Section 4: Building A Quantitative Momentum Investing Strategy
  • Theory & Concepts
  • Pulling Data For Our Constituents
  • Calculating Weights
  • Generating Our Output File
  • Additional Project Ideas
• Section 5: Building A Quantitative Value Investing Strategy
  • Theory & Concepts
  • Importing our Constituents
  • Pulling Data For Our Constituents
  • Calculating Weights
  • Generating Our Output File
  • Additional Project Ideas

1. Clone this repo.
2. Create virutal env by doing py -m venv env.
3. Activate virtual env by doing .\env\Scripts\activate.
4. Install libraries dependencies using py -m pip install -r requirements.txt
5. In the repository Desktop\algorithmic-trading-python, run python -m notebook to open up jupyter notebook.

https://www.youtube.com/watch?v=xfzGZB4HhEE&list=PLo_yYwTLdC9JqaqM1aRF3V9a9EvTXJcsK&index=1