Algorithmic Trading and Stocks Essential Training
With Michael McDonald
Liked by 1,263 users
Duration: 2h 27m
Skill level: Intermediate
Released: 9/15/2022
Course details
Many stock market trades are conducted with algorithms, computer programs that buy or sell stocks according to mathematical formulas. These equity trades happen at a speed and frequency that humans cannot replicate. It's important for finance professionals and everyone who invests in the stock market to know how these algorithms work. In this course, Professor Michael McDonald shows how to develop a back-tested, rules-based trading strategy and program a simple trading algorithm of your own. Professor McDonald goes over the basics of securities markets, from stocks, bonds, and derivatives to predicting values with regressions. He explains investing and securities, including case studies and a chance to visually examine trading relationships. He shares the steps to build your own algorithms, then goes over buying and selling with an algorithm, expanding the algorithm to other securities, and analyzing scenarios in investing. Plus, Professor McDonald covers practical examples of trading with algorithms.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
LinkedIn Learning
Certificate of Completion
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
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Jose Castillo
Jose Castillo
Sr. Product Manager | Business Strategy | Profitable Growth | SMarketing - Open to New Challenges
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Raul Vega
Raul Vega
Ingeniero Mecánico Automotriz
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Yusuf H. Katabji, CFA, CMT
Yusuf H. Katabji, CFA, CMT
Sr. Director - Funds & Portfolio Management at National Investments Company (NIC)
Contents
What’s included
- Practice while you learn 1 exercise file
- Test your knowledge 4 quizzes
- Learn on the go Access on tablet and phone