Build an AI-Powered Investment Strategy with ForecastOS: Live Demo
In a ~13 minute video, we build and backtest an ML-powered market and factor neutral quantitative investment strategy using ForecastOS and InvestOS.
Pre-engineered features / factors for forecasts and analysis.
OS portfolio engineering and risk software.
Investment system of record.
Financial datasets.
In a ~13 minute video, we build and backtest an ML-powered market and factor neutral quantitative investment strategy using ForecastOS and InvestOS.
With our software, tools, and expertise, this exercise could be repeated to tailor any institutional investment strategy to any unique client mandate or market demand.
Institutional investors want to use your data to train AI to beat the market. Naturally, you want to know: how much is your dataset worth? To decide what your dataset is worth to a quantitative investor, let's consider what the dataset will be used for: investing. The inputs to a quantitative investment strategy boil down to
Eliminate 80% of data science work with ForecastOS FeatureHub! For quantitative investors, researchers, and data scientists. Pull pre-engineered feature / factor data from anywhere in 1 line of code; no data engineering pipeline required.
Open-source portfolio engineering / optimization, backtesting, risk models, and reporting software. Enterprise support available by request.
View GuidesVisualize, manage, understand, and analyze your systematic investment research processes in a friendly UI with enterprise-grade access management.
View DemoCustom data, software, and intelligence solutions. Previous projects include valuing / pricing a financial dataset, custom portfolio engineering, and hosting a backtesting API.
Book a no-pressure call to explore our solutions. If it's a fit, we'll plan and walk you through a simple setup process.