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

Algorithmic Trading and Finance Models with Python, R, and Stata Essential Training
Algorithmic Trading and Finance Models with Python, R, and Stata Essential Training
English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 2h 08m | 288 MB

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.

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
Table of Contents

Introduction
1 Getting started with algorithmic trading and finance
2 What you should know

The Basics of Algo Trading
3 Basics of algo trading
4 Market making with algos
5 An algorithm example
6 Prop trading with algos
7 Algos in practice
8 Textual analysis and algo trading
9 Algorithmic trading with qualitative and text data
10 Careers in algorithmic trading

Stock Trading with Python
11 One software option Python
12 Importing data in Python
13 Quandl and Python
14 CSVs and Python
15 Financial data and Python
16 Python and building financial databases

R and Bond Trading
17 One software option R
18 Importing data with R
19 quantmod and R
20 Data analysis in R
21 Regressions in R

Investment Analysis and Stata
22 One software option Stata
23 Getting currency data
24 Cleaning up data for algorithms
25 Strategies in currencies
26 Testing strategies in Stata
27 Regressions in Stata

Conclusion
28 Next steps