Algorithmic Trading and Finance Models with Python, R, and Stata Essential Training
Course Features
- Lectures 0
- Quizzes 0
- Duration 25 hours
- Skill level All levels
- Language English
- Students 97
- Assessments Yes
Business intelligence is one of the fastest growing areas of business, especially for financial investing. Also This project-based course focuses on using different types of software to build models (algorithms) that can trade stocks and other financial products. Michael McDonald shows how you can use Excel, Python, R, or Stata, to set up quantitative, testable investment rules so that you can make informed trading decisions. First, he explains what algo trading is and how it works. Also
Next, he discusses how to develop an algo trading strategy and shares tips for how to identify opportunities in various markets. Then, he goes through an in-depth exploration of how to leverage existing software tools. Also Michael also covers stock trading, bond trading, data analysis, regressions, and more. Also
Topics include:
What is algorithmic (algo) trading? Also
Textual analysis
Qualitative and text data
Algorithmic trading careers Also
Python and Quandl
CSVs and Python
Financial data
R and quantmod
Data analysis
Regression analysis Also
Stata
Currency data
Strategies
Screenshots Also
Visit more course: FINANCIAL DEVELOPMENT
The same course: M.Rusydi Marc Yor Rene M.Stulz Robert Cinnamon Srdjan Stojanovic Stephen G.Ryan Steve Dalton . Sumru Altug Suresh Sundaresan Thomas Fitch Tom Taulli Lidiya K Tom Taulli Peter Dunkart. Jo Dunning Brendon Burchard Bob Bly Alex Becker Alan Weiss Talmadge Harper .
Please contact email: [email protected]
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