Rutgers University 3 credits 839
This course provides a comprehensive insight into quantitative trading strategies and covers most aspects of the development life cycle of a trading strategy. This includes idea conception, using data for research and alpha generation, appropriate modelling, back-testing and simulation, technology and infrastructure, regulatory compliance, risk management, and others. The course will provide an introduction to financial markets, nature of market and its mechanics, various constituents of the markets and their role, importance of order types and execution details, microstructure, and more. It will also introduce a few quantitative trading methods, educate on pitfalls and limitations, give a preview of regulatory compliance, and provide experience-based view of what it takes to build and deploy a success trading strategy. The course will educate students on responsible capital allocation, risks involved in algorithmic trading, and appropriate performance matrices. An introduction to algorithmic investment management will also be provided.
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