We are active in the following areas.
Benefit from our experience in Python, Machine Learning and Quantitative Finance to build modern analytics solutions efficiently and fast. Read our books Python for Finance, Derivatives Analytics with Python and Listed Volatility & Variance Derivatives.
The Experts in AI-first Finance with Python. We focus on Python and Open Source Technologies for Financial Data Science, Artificial Intelligence, Algorithmic Trading and Computational Finance.
All you need to beneficially apply Python for finance and algorithmic trading.
Experience a new level of productivity and a new approach to collaboration in financial analytics. The platform offers eg Jupyter Notebooks, full browser-based shell acess, GUI-based filemanagement, project/file sharing & publishing. Get a free trial.
Completely modular and object-oriented open source library to model, manage, price and risk manage complex portfolios of (multi-risk) derivatives with potentially complex correlations structures. Optimize portfolios, value interest swaps and more. Visit http://dx-analytics.com.
Benefit from powerful features of the platform.
Browser-based notebooks for interactive data analytics withPython
Easily visualize your data – both statically and interactively (D3.js)
Edit all typical code files within the browser (e.g. Python, HTML, CSS)
Easily upload, download and display your data, files, etc.
Full Dropbox integration for easy file sharing, backup, etc.
Use all Linux tools that you love (e.g. Git, Vim, htop) in the browser
Benefit from libraries for advanced financial & risk analytics
Publish your documents & files, deploy your Web applications
Collaborate within your company, define projects, rights & roles
Our unique set of training offerings. Tailored to your needs.
This program is about automated, algorithmic trading with Python. After this program, you can set up your own trading operation. See the Ceritifcate Program page.
Read our books to learn about the power of Python for Finance.
Market-based valuation and
management of equity index options
from theory and numerics to
implementation in Python.
Wiley Finance, 2015
Learn the relevant Python basics
and profit from many real-world
Jupyter-based tutorial style.
O'Reilly, 2018, 2nd ed.
Introduction to listed volatility
and variance derivatives with
directly executable Jupyter
Wiley Finance, 2017
Profit from our expertise: our team members are experts in Python, Quantitative Finance, Artificial Intelligence, Machine Learning, Python for Excel, and more.