Artificial Intelligence for Trading (Training)

Colleagues, the Artificial Intelligence for Trading program involves 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. 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 (eams & execs welcome): https://tinyurl.com/hw9tnjjf 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy