Goal

Learn intro stock ML-analysis concepts and build a basic python based algorithmic trader platform.

Project Outline:

1. Part 1-manipulating_financial_data_in_python

2. Part 2-computational_investing

3. Part 3-learning_algorithms_for_trading

Course Overview:

This course introduces students to the real world challenges of implementing machine learning based trading strategies including the algorithmic steps from information gathering to market orders. The focus is on how to apply probabilistic machine learning approaches to trading decisions. We consider statistical approaches like linear regression, Q-Learning, KNN and regression trees and how to apply them to actual stock trading situations.

This course is composed of three mini-courses:

Mini-course 1: Manipulating Financial Data in Python

Mini-course 2: Computational Investing

Mini-course 3: Machine Learning Algorithms for Trading

Course Source

Machine Learning for Trading by Georgia Tech via Udacity.