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

Delivery Options

Private Group Training

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  • Pre-course call with your trainer
  • Customisation of the learning experience to achieve your goals -
    • Bespoke outlines
    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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