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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
Testimonials (4)
Examples/exercices perfectly adapted to our domain
Luc - CS Group
Course - Scaling Data Analysis with Python and Dask
The fact of having more practical exercises using more similar data to what we use in our projects (satellite images in raster format)
Matthieu - CS Group
Course - Scaling Data Analysis with Python and Dask
The trainer was very available to answer all te kind of question I did
Caterina - Stamtech
Course - Developing APIs with Python and FastAPI
Transfer of practical knowledge and experience of the trainer.
Rumel Mateusz - Pojazdy Szynowe PESA Bydgoszcz SA
Machine Translated