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
Testimonials (3)
Deepthi was super attuned to my needs, she could tell when to add layers of complexity and when to hold back and take a more structured approach. Deepthi truly worked at my pace and ensured I was able to use the new functions /tools myself by first showing then letting me recreate the items myself which really helped embed the training. I could not be happier with the results of this training and with the level of expertise of Deepthi!
Deepthi - Invest Northern Ireland
Course - IBM Cognos Analytics
Examples/exercices perfectly adapted to our domain
Luc - CS Group
Course - Scaling Data Analysis with Python and Dask
The trainer was very available to answer all te kind of question I did