Ai & Machine Learning

Using Machine Learning in Trading and Finance

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Coursera

With an emphasis on quantitative, pairs, and momentum trading, this course prepares students to create and backtest sophisticated trading strategies utilizing machine learning.

Key AI Functions:algorithmic trading,python programming,machine learning,ai & machine learning

Description for Using Machine Learning in Trading and Finance

Features of the Course:

  • 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 Cloud

Duration: 18 hours (approximately)

Schedule: Flexible

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