Learn to find alpha in financial markets using artificial intelligence and quantitative techniques. Get trained by experts such as Dr. Ernest P. Chan, with decades of trading experience. Learn to code and backtest your own trading strategy in Python. Perfect for seasoned traders
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Authored by a leading global expert, Dr. Ernest P. Chan, this course covers four types of algorithmic trading strategies: mean-reverting strategy on pairs and triplets, index arbitrage, long-short portfolio strategies. In addition to backtesting these strategies in Python on market data, learn the underlying mathematical concepts for solid understanding.
(Level: Advanced, Duration: 5 hours)
This intermediate course consists of 7 sections from basic to advanced topics. The course demystifies the black box within classification trees, helps you to create trading strategies and will teach you to understand the limitations of your models. It discusses various strategy optimization techniques which are widely used in artificial intelligence. Taught by the world-renowned quantitative trading expert, Dr. Chan, the content is crisp and focused on financial markets prediction problems.
(Level: Intermediate, Duration: 7 hours)
This advanced course teaches how to identify trading opportunities from raw financial markets using neural networks and deep learning. This is a fast-paced course which aims to achieve a lot in a minimal time. From core concepts such as back and forward propagation to using LSTM models in Keras, everything is covered in a simplified manner with additional reading material provided for advanced learners.
(Level: Advanced, Duration: 8 hours)
Advanced concepts in python are taught to identify rare trading opportunities in Options Trading. Learn about dispersion trading, exotic options, risk management, scenario analysis and application of machine learning in options trading.
(Level: Advanced, Duration: 7 hours)