ForecastOS helps +$100MM AUM
firms build, deploy, and improve
investment strategies
The ForecastOS Super Six are the 6 core beliefs that drive much of our product development efforts. Our core beliefs, in no specific order, are: 1. Institutional investors are unwilling to have platform lock-in. They want to own their IP.
We closed our US$500K all equity Pre-Seed funding round in September to help investors manage and test systematic investment processes! Our financing was led by Delphia, who incubated us over the preceding six months.
Over the last few weeks, a few professional investors have become interested in our opinionated framework for constructing and backtesting portfolios: InvestOS. We've helped them get started, and in doing so, found and fixed a couple design flaws. The result is InvestOS v0.3. A de-coupled and improved framework. This work also yielded 13 friendly guides for using InvestOS, covering
Datasetssignal / feature engineeringAI-driven forecastingportfolio engineering / backtestingalpha
Third-party features for financial forecasts. No feature engineering required!
+1300 alpha factors; in private betaOut-of-the-box systematic / quantitative investment strategy.
~2x simulated Sharpe; in private betaHelping third-party data providers price data based on value added to quantitative investment strategies.
Read moreVisualize, manage, understand, and analyze systematic investment processes. See your datasets, features, forecasts, backtests, and associated performance attribution in a friendly UI with enterprise-grade access management.
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Custom solutions and consulting.
Open-source portfolio engineering / optimization, backtesting, performance attribution, and reporting software.
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