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

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Michael McDonald

2:08:17

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01 - Introduction

01 - Getting started with algorithmic trading and finance.mp4

01:07

02 - What you should know.mp4

01:01

02 - 1. The Basics of Algo Trading

01 - Basics of algo trading.mp4

03:15

02 - Market making with algos.mp4

05:21

03 - An algorithm example.mp4

02:58

04 - Prop trading with algos.mp4

05:45

05 - Algos in practice.mp4

03:01

06 - Textual analysis and algo trading.mp4

03:03

07 - Algorithmic trading with qualitative and text data.mp4

05:55

08 - Careers in algorithmic trading.mp4

04:00

03 - 2. Stock Trading with Python

01 - One software option Python.mp4

02:33

02 - Importing data in Python.mp4

04:41

03 - Quandl and Python.mp4

04:50

04 - CSVs and Python.mp4

02:39

05 - Financial data and Python.mp4

05:02

06 - Python and building financial databases.mp4

06:33

04 - 3. R and Bond Trading

01 - One software option R.mp4

04:48

02 - Importing data with R.mp4

06:14

03 - quantmod and R.mp4

09:27

04 - Data analysis in R.mp4

06:43

05 - Regressions in R.mp4

03:49

05 - 4. Investment Analysis and Stata

01 - One software option Stata.mp4

03:04

02 - Getting currency data.mp4

02:01

03 - Cleaning up data for algorithms.mp4

08:34

04 - Strategies in currencies.mp4

04:30

05 - Testing strategies in Stata.mp4

10:22

06 - Regressions in Stata.mp4

05:20

06 - Conclusion

01 - Next steps.mp4

01:41

Description

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.

Note: Prior to watching this course, it is recommended that you watch the course Algorithmic Trading and Stocks Essential Training.

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Python

Data Science

R Programming

Michael McDonald

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Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.