Rows contain stock symbols. Columns contain cryptocurrencies. Dataset generation is based on public & private databases, labeled datasets, triangulation & human curation by market researchers.
Scores range from 0 to 1 and represent strength of known and hidden relationships between a concept and a stock, option or ETF. The score is calculated based on a series of algorithms that monitor data surrounding each company associated to the underlying security where each score is combined with scores from human curation teams. These concepts can then be factored or parameterized for exploring new signals or building new models. [Ref: Equity Correlations - J.P. Morgan]
Returns for Playstation, Helium, Korea, Shampoo, & Coffee in comparison to the S&P 500: (interactive)
Google Search Trends for Batteries, Bioengineering, Graphene, Blockchain & Machine Learning