About the Course
This Specialization is for finance professionals, including but not limited to: hedge fund traders, analysts, day traders, those involved in investment management or portfolio management, and anyone interested in gaining greater knowledge of how to construct effective trading strategies using Machine Learning. Alternatively, this specialization can be for machine learning professionals who seek to apply their craft to quantitative trading strategies.
The courses will teach you how to create various trading strategies using Python. By the end of the Specialization, you will be able to create long-term trading strategies, short-term trading strategies, and hedging strategies.
To be successful in this Specialization, you should have a basic competency in Python programming and familiarity with pertinent libraries for machine learning, such as Scikit-Learn, StatsModels, and Pandas. Experience with SQL will be helpful. You should have a background in statistics (expected values and standard deviation, Gaussian distributions, higher moments, probability, linear regressions) and foundational knowledge of financial markets (equities, bonds, derivatives, market structure, hedging).
There are 3 Courses in this Specialization
- Introduction to Trading, Machine Learning & GCP
- Using Machine Learning in Trading and Finance
- Reinforcement Learning for Trading Strategies
- Jack Farmer Curriculum Director New York Institute of Finance
- Ram Seshadri Machine Learning Consultant Google Cloud Platform
To enroll for this course, click the link below.
Course on Machine Learning for Trading