Artificial Intelligence AI for Trading v1.0.0
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.
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.
Basic Quantitative Trading
Learn about market mechanics and how to generate signals with stock data. Work on developing a momentum-trading strategy in your first project.
Advanced Quantitative Trading
Learn the quant workflow for signal generation, and apply advanced quantitative methods commonly used in trading.
Sentiment Analysis with Natural Language Processing
Learn the fundamentals of text processing, and analyze corporate filings to generate sentiment-based trading signals.
What You Will Learn
Intermediate statistical knowledge
- Mean, median, mode
- Variance, standard deviation
- Random variables, independence
- Distributions, normal distribution
- T-test, p-value, statistical significance
Intermediate calculus and linear algebra knowledge
- Integrals and derivatives
- Linear combination, linear independence
- Matrix operations
- Eigenvectors, eigenvalues