Course Outline

Introduction

Algorithmic Trading Core Concepts

  • What is algorithmic trading?
  • Markets and trading
  • Textual data and analysis

Python, R, and Stata

  • Stock trading
  • Bond trading
  • Investment analysis

Preparing the Development Environment

  • Installing Quandl
  • Installing quantmod
  • Installing and configuring Stata

Algorithmic Trading and Python

  • Importing data
  • Using Quandl
  • Working with financial data
  • Creating databases for financial data

Algorithmic Trading and R

  • Importing data
  • Using quantmod
  • Working with regressions

Algorithmic Trading and Stata

  • Importing and cleaning data
  • Testing strategies
  • Working with regressions

Summary and Conclusion

Requirements

  • Experience with R
  • Python experience

Audience

  • Business Analysts
 14 Hours

Number of participants



Price per participant

Testimonials (5)

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