Algorithmic Trading in Python

This repository accompanies the Algorithmic Trading Using Python course on freeCodeCamp.

Study Materials

Detailed Course Notes — comprehensive notes covering all sections with code examples and analysis
Accelerated Study Plan — structured 4-day study schedule with spaced repetition
Flashcards App — interactive self-testing for key concepts

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

Name		Name	Last commit message	Last commit date
Latest commit History 108 Commits
finished_files		finished_files
notes		notes
starter_files		starter_files
.gitignore		.gitignore
README.md		README.md
requirements.txt		requirements.txt