Simplectica is a long/short systematic fund based on proprietary mathematics in the area of Brownian motion.
They use proprietary Simplectica Covariance Matrix math to produce a broad range of predictive features which are fed to a machine learning algorithm.
This results in a battery of predictors for returns, volatility, and other aspects of the price-volume process, on a time horizon of 1 day to 1 month.
They monetize their predictors through a long/short investing strategy oriented towards highly traded US equities.
Some key metrics for their strategy include a net Sharpe of 3.4 and a 217% CAGR over a one-year period.
Simpletica's founders have experience in data science, machine learning, fintech, and quantitative finance.
They use basic tools such as Google spreadsheets and Apollo.io for LP sourcing and CRM.
Simplectica has its own proprietary risk models which they believe outperform available risk models on the market, but investors are often ingrained on using established models like Barra.
They have built their own data protocols (Velo) to handle large, real-time data sets which they estimate are more performant than traditional data science tools.
Simplectica has invented machine learning approaches that, as far as literature tells us, do not exist.