Rows contain symbols. Columns contain fundamental data and 1 year (2008 - 2014) of minute-by-minute price data for cryptocurrencies, S&P 500 stocks or EOD data for all equities and up to 5 columns you can define, represented by concepts or trends. Dataset generation is based on public & private databases, an army of human curators and data triangulation.
What kind of things can be done with custom concept columns/features?
Create unique sectors or clusters based on concepts and hidden relationships and compare their gains to the S&P
Determine if price correlations have similar concept or keyword correlations
How do the concepts or trends correlate to cryptocurrecies, stocks, options or ETFs?
Scores range from 0 to 1 and represent strength of known and hidden relationships between a concept or trend and a cryptocurrency, 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 or trends can then be factored or parameterized for exploring new signals or building new models.
Example use case:
Returns for Playstation, Helium, Korea, Shampoo, & Coffee in comparison to the S&P 500: (interactive)