Course Outline

Introduction

Core Concepts of Algorithmic Trading for Government

  • Definition of algorithmic trading
  • Overview of markets and trading practices
  • Analysis of textual data in financial contexts

Utilizing Python, R, and Stata for Government Applications

  • Stock trading methodologies
  • Bond trading strategies
  • Comprehensive investment analysis

Preparing the Development Environment for Government Use

  • Installation of Quandl
  • Installation of quantmod
  • Installation and configuration of Stata

Algorithmic Trading with Python for Government

  • Data import techniques
  • Utilization of Quandl for financial data
  • Manipulation and analysis of financial datasets
  • Creation and management of financial databases

Algorithmic Trading with R for Government

  • Data import methods
  • Use of quantmod for financial analysis
  • Conducting regression analyses

Algorithmic Trading with Stata for Government

  • Importing and cleaning financial data
  • Testing trading strategies
  • Performing regression analyses

Summary and Conclusion for Government

Requirements

  • Proficiency with R
  • Experience in Python

Audience for Government

  • Business Analysts
 14 Hours

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Price per participant

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