Python for Derivatives
One command and a couple of lines of code unlocks the most powerful derivative analytics library in the industry.
FINCAD’s high-level, Python-enabled API enables traders, portfolio managers and risk managers alike to easily and transparently work within the vast Python ecosystem.
Together, Python’s native data handling and FINCAD’s analytics enable you to compute values, sensitivities and cash flows of a derivative, such as a zero-coupon inflation swap, in just a few lines of code. In fact, it’s so simple, you can run your first valuation in less time than it takes to read this webpage.
The results can be conveniently returned as pandas data structures, making further analysis and aggregation simple and straightforward.
You also have the flexibility to access your valuation solution in a variety of different ways using FINCAD’s proven technology. Learn about our Excel and SDK solutions.
YOU’RE COVERED AND ALWAYS AHEAD
Our ecosystem of curated industry-standard models, curves and instruments is constantly expanding and covers more than 100 currencies.
LIGHTNING FAST AND CLOUD-AWARE
With easily configurable valuation environments, you can always pick a faster pricer, or even supply your own. And when you need scalability, you can simply flip the switch and offload the heavy lifting to FINCAD cloud hosted services.
NO BLACK BOXES. COMPLETE TRANSPARENCY.
At FINCAD, we are committed to making derivatives simple. We consistently deliver transparency and accountability that is second to none. With Python’s intuitive syntax, even non-coders can understand the underlying modelling assumptions, making jobs like model validation easier.
Extensive documentation makes it easy to understand what is going on under the hood.
