コース概要
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
要求
- Experience with R
- Python experience
Audience
- Business Analysts
お客様の声 (5)
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
コース - IBM Cognos Analytics
私たちのプロジェクトで使用しているデータ(ラスター形式の衛星画像)とより類似したデータを使用して、より実践的な演習を行えること
Matthieu - CS Group
コース - Scaling Data Analysis with Python and Dask
機械翻訳
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.
コース - Developing APIs with Python and FastAPI
Trainer develops training based on participant's pace
Farris Chua
コース - 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.