HTML, Jupyter Notebooks, Python codes, etc. Also note that the course material is copyrighted and not allowed to linux forex trading shared or distributed. It comes with no warranties or representations, to the extent permitted by applicable law. It is the Holy Grail of algo trading!
All the things that someone would have spent hours and hours of research on the web and on books, they are now combined in one source. Thanks again for the course and I must once again congratulate you on a fantastic course and learning environment with the Python Quant Platform. As a side note, I wanted to thank you for creating such a fantastic course. I really felt like I’ve learned a lot in a short time and definitely feel like you’ve given a great foundation for me to continue exploring the world of fin-tech. So again, a huge thank you! Recent developments in open source software, cloud computing, open data as well as online trading platforms have leveled the playing field for smaller institutions and individual traders.
This makes it possible to get started in this fascinating field being equipped with a modern notebook and an Internet connection only. Such a course at the intersection of two vast and exciting fields can hardly cover all topics of relevance. Table of Contents Have a look at the table of contents of the PDF version of the online course material. Uniqueness and Benefits The course offers a unique learning experience with the following features and benefits. Hilpisch is founder and managing partner of The Python Quants, a group focusing on the use of open source technologies for financial data science, algorithmic trading and computational finance.
Yves has written the financial analytics library DX Analytics and organizes meetups and conferences about Python for quantitative finance in Frankfurt, Berlin, Paris, London and New York. He has also given keynote speeches at technology conferences in the United States, Europe and Asia. With your enrollment today you also secure access to future updates. It has never been easier to master Python for Algorithmic Trading.
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