Colleagues, #8 on our Top 10 countdown in the Artificial Intelligence for Trading - Nanodegree Program from Udacity. 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. 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/mr8emnu2
Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (share & subscribe)
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Graphic source:Analytic Steps
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