- [Michael] In this course we've talked about…what algorithmic trading is…and the opportunities to use…quantitative rules-based trading…in making investment decisions.…I hope that you've enjoyed this course,…and I hope that you've learned something…as we've gone along.…If you recall, we've now gone through…and met a series of milestones.…We've developed trading strategies…around pairs trades for ETFs,…for dual share classes and index products like the VIX.…We've also explained how to use regression analysis…to make key forecasts based on key performance indicators…like vehicle sales.…
We've done all this based on hard data.…And further, we've covered…real-world investment considerations…for algorithmic trading and investment companies…just like yours, from scenario analysis…and liquidity provision to trading considerations…when buying and selling.…
Professor 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.
- Define what a share of stock is.
- Classify the type of trading that attempts to capitalize on the bid-ask spread.
- Name the rule that can be used as a metric for Fed interference in the market.
- State the first step in a data analysis project.
- Identify the type of characteristic algorithmic trading relies on.
- Break down how VAR is used to manage risk.
Skill Level Intermediate
Finance Foundations: Business Valuationwith Jim Stice1h 39m Intermediate
Excel: Economic Analysis and Data Analyticswith Michael McDonald1h 37m Intermediate
Financial Forecasting with Big Datawith Michael McDonald1h 21m Intermediate
1. The Basics of Securities Markets
2. Investing and Securities
3. Building Algorithms
4. Using Trading Algorithms
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