Create unique Nasdaq, NYSE, OTCBB, ETF & Options datasets
with custom columns/feature labels for additional signal boosting
Rows contain stock symbols. Columns contain fundamental data and 1 year (2008 - 2014) of minute-by-minute price data for S&P 500 stocks or EOD data for all equities + up to 5 columns you can define, represented by keywords or concepts you choose. Dataset generation is based on public & private databases, an army of human curators and data triangulation.
Dataset Production Platforms:
Nasdaq, NYSE & OTCBB + General Data
Nasdaq, NYSE & OTCBB + Genomic & Molecular Biology Data
Nasdaq, NYSE & OTCBB + Chemical Data
Nasdaq, NYSE & OTCBB + GeoPhysical Data
S&P 500 + General Data
S&P 500 + Genomic & Molecular Biology Data
S&P 500 + Chemical Data
S&P 500 + GeoPhysical Data
[ Request Custom Dataset ]
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 (see below)
Determine if price correlations have similar concept or keyword correlations
Examine symbiotic, parasitic and sympathetic relationships between equities
Automatically create baskets of stocks based on concepts and/or keywords
Detach the custom columns and append them to other proprietary inhouse datasets
Select a Data Context (e.g. Biological, Chemical, GeoPhysical and others) to derive different signals
Use stock symbols as custom concept column labels and model cross-correlations between equities
Create features using trending terms anywhere on the internet
How do the concepts (or trends) correlate to stocks, options or ETFs?
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.
Example use case:
Returns for Playstation, Helium, Korea, Shampoo, & Coffee in comparison to the S&P 500: (interactive)