Machine Learning for Trading, or, An Unofficial Guide to Georgia Institute of Technology's CS7646: Machine Learning for Trading

Contents I Manipulating Financial Data Python for Finance Global Statistics Fixing Bad Data Graphing Financial Data Portfolios Optimizers II Computational Investing Hedge Funds Types of Managed Funds Compensation Attracting Investors Hedge Fund Computing Architecture The Order Book Making Orders Exchange-Traded Options Evaluating a Company Metrics for Evaluation Capital Asset Pricing Model Technical Analysis Anomalous Price Changes Beating the Market The Efficient Markets Hypothesis The Importance of Diversification Portfolio Optimization III Learning Algorithms for Trading Supervised Regression Learning Regression Decision Trees Evaluating a Learning Algorithm Ensemble Learners Reinforcement Learning Q-Learning Index of Terms