Using Machine Learning in Trading and Finance
With an emphasis on quantitative, pairs, and momentum trading, this course prepares students to create and backtest sophisticated trading strategies utilizing machine learning.
Description for Using Machine Learning in Trading and Finance
Fundamentals of Trading Strategies: Examines essential elements of trading strategies, ranging from basic to intricate models.
Diverse Trading Techniques: Includes quantitative, pairs trading, and momentum trading strategies, providing a comprehensive approach to machine learning in finance.
Model Building and Backtesting: Directs learners in constructing machine learning models for trading utilizing Keras and TensorFlow, and imparts knowledge on backtesting pair trading and momentum-driven models.
Prerequisites: Requires proficient Python skills, knowledge of machine learning libraries (Scikit-Learn, StatsModels, Pandas), SQL proficiency, and a comprehensive understanding of statistics and financial markets.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Coursera provided by New York Institute of Finance & Google CloudDuration: 18 hours (approximately)
Schedule: Flexible
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