Python for Derivatives

Extend our industry-standard analytics with standard Python tools.


Take portfolio management to the next level with Python

Using standard Python tools with FINCAD's versatile analytics gives you unlimited control and precision over managing every aspect of your portfolio. The possibilities are endless.

Python allows you to accomplish precisely what you want around data analysis. And with unlimited access to our extensive pricing libraries, you can develop applications, reports, trade scripting and analyses that show the best investment opportunities and risk allocations for you and your clients.


Python allows you to boost your productivity and extend FINCAD's analytics capabilities using a vast ecosystem of off-the-shelf libraries and tools. You can easily write custom apps to backtest investment strategies, optimize portfolios, and achieve hedging profiles without waiting for a system upgrade.


At FINCAD, we embrace Python in everything we do so that you can build and share apps using a familiar programming language. You can easily work with preconfigured modules, generate agile reports, and access industry-standard APIs. And to maintain coherence, the API's we use are exactly the same API's we share with you.


Having a familiar and easy to use language at your fingertips lets you integrate with a multitude of analytics components. That also allows you to collaborate with colleagues, share your expertise, and get timely feedback.

Explore Python Resources

Python - Improving Data Science in Finance: Video