Module 4: Algorithmic Trading and Computational Finance
Training Provider: SINGAPORE MANAGEMENT UNIVERSITY
Course Reference: TGS-2022015175
S$720
Original: S$2,400
Save S$1,680
About This Course
At the end of this 2-day module, participants will be able to:
• Extract and wrangle financial data
• Develop and backtest theory-driven trading strategies
• Develop and backtest data-driven trading strategies
• Develop and backtest multiple trading strategies
What You'll Learn
This module focuses on helping participants understand what underlies process-driven investing (note that the module does not recommend any particular type or way of investment). Participants will learn how to use Python to extract historical stock data, and how to formulate theory-driven and data-driven trading strategies based on historical data. For data-driven trading strategies, participants will learn how to utilise both supervised and unsupervised learning approaches. They will also learn how to run systemic back-testing for algorithmically-set trading strategies.
Entry Requirements
Participants should have some knowledge or experience in Python programming (equivalent to that attained in SMU Academy's Professional Certificate in Python Programming programme).
Course Details
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Note: To apply for this course, visit or contact the training provider directly.
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