Introducing multi-expert longs & shorts as contributing factors to the Nasdaq Analytics Hub. The Analytics Hub combines third-party and Nasdaq datasets with our machine intelligence engine, creating new and unique market signals. All third-party data partners must pass a rigorous Nasdaq vetting process, including survivor-bias-free back-testing—confirming the validity and effectiveness of the data.
This dataset includes:
Machine Learning (ML) driven signals derived from a collection of models using fundamental and technical factors specific to stocks in the Russell 1000.
Predictive signals provided as a daily feed with a score for each stock: higher scores indicating stronger likelihoods of outperformance of the benchmark, over a 21-day trading period; lower scores indicating likelihoods below the benchmark over a 21-day trading period
All Russell 1000 constituents provided with a daily score, ranked from most bullish to most bearish
Daily data feed product, SFTP delivery
Raw data provided by Lucena Research. Lucena helps market participants find opportunities, reduce risk, and build portfolios by providing artificial intelligence-based decision support technology that incorporates data from multiple, orthogonal big data sources including fundamental, technical, macroeconomic, and esoteric sources.