About
Quantitative finance, from first principles to practice.
Our courses build the subject from first principles. Our analytics workstations put the same methods to work, on open-source engines anyone can inspect. Our aim is to make rigorous training and professional-grade analytics accessible to anyone serious about the field.
What we build
One platform, four parts.
- AvailableLearnCourses and tracks from the mathematical foundations to trading.
- Coming soonPortfolioPerformance, risk and optimisation for real portfolios.
- Coming soonDerivativesCurves, pricing and risk to desk conventions.
- Open sourceLibrariesFinalytics and TenorQuant, the open-source engines under the workstations.
The name
Why σ?
In probability theory, a σ-field describes the information available at a given moment. In finance, σ is volatility, the quantity at the heart of every pricing model.
SigmaField brings the two together: the rigour of the mathematics and the practice of the markets.
How we work
Four commitments behind everything we make.
Numbers you can check
Every number in a lesson is produced by code, and every model in the workstations is tested against independent references.
Open engines
The analytics run on open-source libraries that anyone can read, test and use in their own work.
Private by design
Your code and your portfolios are processed on your own device. We store only what you choose to save.
Education, not advice
We teach and we build analysis tools. We never tell you what to buy or sell.
What we store and why is set out in our privacy policy.
Contact
Get in touch.
- Help with your account or the coursessupport@sigmafield.app
- Your data and privacy requestsprivacy@sigmafield.app
- Report a security issuesecurity@sigmafield.app
SigmaField is made by SigmaField Labs, Hong Kong.