Algo trading strategies python
If you are a trader or an investor and would like to acquire a set of quantitative trading skills, you are at the right place. The course gives you maximum impact for your invested time and money. It focuses on practical application of programming to trading rather than theoretical computer science. The course will pay for itself quickly by saving you time in manual processing of data. You will spend more time researching your strategy and implementing profitable trades.
Basics You will learn why Python is an ideal tool for quantitative trading. We will start by setting up a development environment and will then introduce you to the scientific libraries. Read and write multiple data formats including CSV and Excel files. Build a trading strategy and optimize its performance. Multiple examples of strategies are discussed in this part. You will learn how to get realtime stock data and place live orders. The course material consists of 'notebooks' that contain text together with interactive code like this one.
You will be able to learn by interacting with the code and modifying it to your own liking. Nowadays, Python and its ecosystem of powerful packages is the technology platform of choice for algorithmic trading. Among others, Python allows you to do efficient data analytics with e. This is an in-depth, intensive online course about Python version 3. Such a course at the intersection of two vast and exciting fields can hardly cover all topics of relevance.
However, it can cover a range of important meta topics in-depth: An incomplete list of the technical and financial topics comprises: Have a look at the table of contents of the PDF version of the online course material. The course offers a unique learning experience with the following features and benefits. The Python Quants offer an University Certificate Program not included based, among others, on this course that provides an interactive learning experience e.
Below a short video about 4 minutes giving you a technical overview of the course material contents and Python codes on our Quant and Training Platform. 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.
He is the author of the books. Yves lectures on computational finance at the CQF Program , on data science at htw saar University of Applied Sciences and is the director for the online training program leading to the first Python for Algorithmic Trading University Certificate awarded by htw saar.
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. All Python codes and Jupyter Notebooks are provided as a Git repository on the Quant Platform not public for easy updating and also local usage. Currently, we offer you a special deal when signing up today. With your enrollment today you also secure access to future updates.
This should help you quite a bit in making this potentially career changing decision. It has never been easier to master Python for Algorithmic Trading. Write us under training tpq.