AI for Trading
Offered By: WorldQuant via Udacity
Course Description
Overview
Complete real-world projects designed by industry experts, covering topics from asset management to trading signal generation. Master AI algorithms for trading, and build your career-ready portfolio.
Syllabus
- Quantitative Trading
- Learn the basics of quantitative analysis, including data processing, trading signal generation, and portfolio management. Use Python to work with historical stock data, develop trading strategies, and construct a multi-factor model with optimization.
- AI Algorithms in Trading
- Learn how to analyze alternative data and use machine learning to generate trading signals. Run a backtest to evaluate and combine top performing signals.
- Python Refresher
- Linear Algebra
- Jupyter Notebook, Numpy, and Pandas
- Statistics
- Machine Learning
- Deep Learning
- Computer Vision
- Natural Language Processing
- Career Services
Taught by
Cindy Lin, Arpan Chakraborty, Elizabeth Otto Hamel, Eddy Shyu, Brok Bucholtz, Parnian Barekatain, Juan Delgado, Luis Serrano, Cezanne Camacho, Mat Leonard, Eduardo P., Hsin-Wen C., Frank Salvador Y., Sridhar S., Jonnie W. and André V.
Related Courses
Artificial Intelligence for RoboticsStanford University via Udacity Intro to Computer Science
University of Virginia via Udacity Design of Computer Programs
Stanford University via Udacity Web Development
Udacity Programming Languages
University of Virginia via Udacity