Artificial Intelligence for Trading

Colleagues, this Artificial Intelligence for Trading program equips you to complete 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. Skill-based training modules - each with a hands-on project, include: 1) Basic Quantitative Trading - market mechanics and how to generate signals with stock data. Work on developing a momentum-trading strategy in your first project (Project: Trading with momentum), 2) Advanced Quantitative Trading - quant workflow for signal generation, and apply advanced quantitative methods commonly used in trading (Project: Breakout Strategy), 3) Stocks, Indices, and ETFs - portfolio optimization, and financial securities formed by stocks, including market indices, vanilla ETFs, and Smart Beta ETFs (Project: Smart Beta and Portfolio Optimization), 4) Factor Investing and Alpha Research - alpha and risk factors, and construct a portfolio with advanced optimization techniques (Project: Alpha Research and Factor Modeling), 5) Sentiment Analysis with Natural Language Processing - fundamentals of text processing, and analyze corporate filings to generate sentiment-based trading signals (Project: Sentiment Analysis using NLP), 6) Advanced Natural Language Processing with Deep Learning - apply deep learning in quantitative analysis and use recurrent neural networks and long short-term memory to generate trading signals (Project: Deep Neural Network with News Data), 7) Combining Multiple Signals - advanced techniques to select and combine the factors you’ve generated from both traditional and alternative data (Project: Combine Signals for Enhanced Alpha), and 8) Simulating Trades with Historical Data - refine trading signals by running rigorous back tests. Track your P&L while your algorithm buys and sells (Project: Backtesting). 

Enroll today (teams & execs welcome): https://tinyurl.com/44x9jkku 

Much career success, Lawrence E. Wilson - Financial Certification Academy