Increase Alpha by the Numbers
90%
of our returns are pure alpha
1/10th
the risk of holding the S&P 500
100%
sourced from public data
The Architect
Founder Sid Ghatak brings 25+ years of institutional experience building forecasting systems for governments, central banks, and Fortune 500s.
He architected the $3 trillion analytics platform used by the London Stock Exchange, developed forecasting strategies for the White House, Federal Reserve, and Federal Energy Regulatory Commission, and co-authored the U.S. government’s AI Maturity Model.
How It Works
Alternative data often presents legal and compliance hurdles, accidental access to non-material information, as well as significant cleaning, structuring, and mapping issues—all of which must be done before you can assess the value of the data and its ability to produce performance.
Increase Alpha eliminates all these problems. Our predictive signal engine calculates accurate price predictions that can be used immediately to generate alpha. It only uses public data compiled and tested over years of out of sample forward testing. We use the predictions themselves to derive our trading strategies and prove our performance, not overfit backtests.
Unlike traditional alternative data solutions, your trading teams can leverage our ready-to-use predictions on day one. Avoid the high costs of cleaning, processing, and signal identification.
Ready to See For Yourself?
A new source of 90% uncorrelated alpha* across 800+ equities.
Built for institutional teams who need a new source of alpha with a measurable edge, fast validation, and consistent, outperformance—without changing their current strategies.
* All statistical, programmatic, and performance claims have been independently calculated and verified by Zanista, an AI analytics firm founded by a former quantitative researcher for Millennium and UBS who holds a PhD in Financial Mathematics from Imperial College London.