Artificial Intelligence for Trading

Colleagues, the Artificial Intelligence for Trading program will enable you to 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. Training modules, each with a hands-on project include: 1) 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 (Project: Trading with Momentum), 2) Advanced Quantitative Trading - Learn the quant workflow for signal generation, and apply advanced quantitative methods commonly used in trading (Project: Breakout Strategy), 3) Stocks, Indices, and ETFs - Learn about 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 - Learn about 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 - Learn the 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 - Learn to 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 (Project: Combining Multiple Signals), 7) Combine Signals for Enhanced Alpha - Simulating Trades with Historical Data and refine trading signals by running rigorous back tests. Track your P&L while your algorithm buys and sells (Project: Backtesting).

Enroll today (team & execs welcome): https://tinyurl.com/m7vydvas 

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Much career success, Lawrence E. Wilson - Financial Certification Academy (share with your team)