Author
Michael McDonald
Released
3/14/2018Professor Michael McDonald provides a brief primer on securities markets. He explains how data helps investors forecast performance and automate trading. Then he moves into the practical steps: coming up with algorithmic trading rules and developing and testing an algorithm. Finally, he shows how the algorithm can be applied and eventually expanded to other securities. Anyone working in financial services, or interested in investing in the stock market, will be able to use these tutorials to understand and develop simple trading algorithms of their own.
- Basics of trading stocks
- Algorithms and the financial industry
- How the Fed regulates algorithmic trading
- Case studies
- Quantitative rules and strategies
- Gathering data for algorithms
- Designing algorithms
- Testing algorithms
- Buying and selling with trading algorithms
Skill Level Intermediate
Duration
Views
- [Michael] Hi, I'm Dr. Michael McDonald. I'm a professor of finance and a data science researcher. I've taught quantitative finance and financial forecasting in the financial markets to executives and traders of financial firms, hedge funds, securities regulators, and many large companies. In this course I'm going to show you how to use data to do basic algorithmic trading. In particular, I'll help you to understand how to evaluate trade strategies, test them, and determine if they're feasible as the cornerstone in an investment vehicle.
We're going to learn all about how big companies take data and use it to make money in the financial markets. I hope you'll join me.
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Introduction
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Welcome45s
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1. The Basics of Securities Markets
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Basics of stocks4m 10s
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Basics of stock markets3m 40s
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Basics of trading stocks4m 54s
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Algorithms in Excel2m 52s
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Stocks and the Fed2m 50s
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Big data in finance2m 19s
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2. Investing and Securities
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3. Building Algorithms
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Gather data for an algorithm3m 53s
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Design an algorithm3m 49s
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Test algorithm accuracy4m 54s
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Predict economic variables4m 34s
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Advanced algorithms3m 46s
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4. Using Trading Algorithms
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Conclusion
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Next steps51s
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Video: Welcome