We believe that decentralization is the future of the financial markets.
It is our vision to provide our users with the open source building blocks they need to implement the most innovative financial primitives --without censorship and without the big banks.
Digital markets are built on the ideas of transparency, security, and peer-to-peer collaboration.
Yet, many of the open source financial building blocks remain exclusive to large investment firms and banks that (more often than not) restrict access for the everyday investors. Sorrentum provides the most innovative financial primitives and a framework for describing, simulating, and deploying financial machine learning models so that you can build your own product for the masses. The only limitation is your own imagination.
Our team members hold advanced degrees in quantitative disciplines and have worked in top companies in Silicon Valley and on Wall Street.
Working alongside twenty full-time developers, Sorrentum leverages this expertise and experience with advanced machine learning in traditional markets to level the playing field in decentralized finance.
Basic building blocks for advanced financial applications
Smart contracts for staking, escrow, unilateral and bilateral swap, unilateral and bilateral cross, P2P transactions, off-chain secure computation.
A standardized flow to on-board, normalize, clean, and serve market and alternative data feed
A framework for describing, simulating, and deploying financial machine learning models.
Software components for risk modeling and management, portfolio optimization
Software components to connect to centralized and decentralized
exchanges to manage orders and portfolios using algorithmic trading
Dive Into the New Age of Decentralized Finance
Current Applications built on Sorrentum Primitives
Decentralized active and passive investment strategies for cryptocurrencies that anyone can use.
A decentralized application to trade peer-to-peer cryptocurrencies without the need of an exchange or reference price.
A decentralized application for trading large blocks of crypto coins peer-to-peer without market impermanent loss and market impact, relying on price feeds from centralized exchanges.
Giacinto Paolo (G.P.) Saggese
Chief Technology officer
GP holds a PhD in Electrical Engineering and was a Postdoctoral Fellow at the University of Illinois, Urbana-Champaign from 2004 to 2006. He has published more than 20 papers in several areas of computer science and holds 2 U.S. patents.
GP was a Portfolio Manager at Engineers' Gate, head of data at Teza Technologies, and a senior software engineer at Silicon Valley companies such NVIDIA, Synopsys, Intel. He has also co-founded 3 startups.
Paul holds a PhD in Mathematics from UCLA, where he worked under the supervision of Fields Medal winner Terry Tao. From 2011 to 2014 he held the prestigious NSF Mathematical Sciences Postdoctoral Research Fellowship at Uc Berkeley for his work on Applications of Fourier analysis to nonlinear dispersive partial differential equations with geometric structure.
Before moving into quantitative investments, Paul worked for three and a half years as a software engineer at Google, where applied machine learning to the Google Knowledge Graph.