Artificial Intelligence for Trading
This course covers the basics of quantitative analysis, including data processing, trading signal generation, portfolio management, financial securities formed by stocks, including market indices, vanilla ETFs, and Smart Beta ETFs. This course also includes alpha and risk factors, fundamentals of text processing and analyzing corporate filings to generate sentiment-based trading signals. Deep learning algorithms and Recurring Neural Network are applied in quantitative analysis and long short-term memory to generate trading signals. The students will learn about the advanced techniques that select and combine the factors that are generated from both traditional and alternative data. The students will also learn of how to stimulate trade using historical data.