Kursplan
Introduktion
Algoritmiska handelskärnkoncept
- Vad är algoritmisk handel?
- Marknader och handel
- Textdata och analys
Python, R och Stata
- Aktiehandel
- Obligationshandel
- Investment analys
Förbereda utvecklingsmiljön
- Installerar Quandl
- Installerar quantmod
- Installera och konfigurera Stata
Algoritmisk handel och Python
- Importerar data
- Använder Quandl
- Arbeta med finansiell data
- Skapa databaser för finansiell data
Algoritmisk handel och R
- Importerar data
- Använder quantmod
- Arbeta med regressioner
Algoritmisk handel och Stata
- Importera och rensa data
- Testa strategier
- Arbeta med regressioner
Sammanfattning och slutsats
Krav
- Erfarenhet av R
- Python erfarenhet
Publik
- Business Analytiker
Vittnesmål (5)
Det faktum att vi har mer praktiska övningar med mer liknande data som vi använder i våra projekt (satellitbilder i rasterformat)
Matthieu - CS Group
Kurs - Scaling Data Analysis with Python and Dask
Machine Translated
Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)
Monika - Procter & Gamble Polska Sp. z o.o.
Kurs - Developing APIs with Python and FastAPI
It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course
Bozena Stansfield - New College Durham
Kurs - Build REST APIs with Python and Flask
Trainer develops training based on participant's pace
Farris Chua
Kurs - Data Analysis in Python using Pandas and Numpy
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.