How It Works
After 30 years of building planning and forecasting systems for some of the world’s largest companies, we came to a profound realization: we can beat the market by quantifying qualitative analysis.
How does that work?
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We find qualitative fundamental analysis
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Then we transform it into quantitative features
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This allows us to accurately predict short-term price movements
Feature Engineering the Future of Finance
Our team spent years researching, analyzing, and proving that, with the right features and deep learning models, we could not only accurately predict prices but could also explain our signals.
By leveraging our deep operational expertise and best-in-class data engineering skills, we uncovered powerful features from overlooked but publicly available data.
Combining these features with our proprietary deep learning models resulted in unique, uncorrelated, and durable Alpha.
Proprietary and Bias-Free
While the industry races to adopt Generative Artificial Intelligence, we don’t use any of these technologies in our solutions.
In fact, our proprietary deep learning models and features were hand-built and put into production 18 months before the release of ChatGPT.
Increase Alpha has been running continuously, without failure, since 2021, producing a pure out-of-sample forward test completely free of human and technical bias.
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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.