Algorithmic Trading and Finance Models with Python, R, and Stata Essential Training

Business intelligence is one of the fastest growing areas of business, especially for financial investing. 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. 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. Michael also covers stock trading, bond trading, data analysis, regressions, and more.

Topics include:
What is algorithmic (algo) trading?
Textual analysis
Qualitative and text data
Algorithmic trading careers
Python and Quandl
CSVs and Python
Financial data
R and quantmod
Data analysis
Regression analysis
Stata
Currency data
Strategies