Dataset Build Request

Rows contain stock symbols. Columns contain scores that represent known and hidden relationships between stocks & data streams below.


Option 1.  Download a Dataset

  • US Equities: Known & hidden relationships to Elements in the Periodic Table(CSV)
  • Bitcoin & other cryptocurrencies: Known & hidden relationships to Global Trending Searches (ready)
  • US Equities: Known & hidden relationships to Global Trending Searches (ready)



  • Option 2.  Build a Dataset

    Step 1.


    Step 2.



    Option 3.  Create a Dataset

    Step 1.


    Step 2.

    Enter 1 to 5 features, concepts or keywords:
    example: Playstation, Helium, Korea, Shampoo, Coffee

    Step 3.





    More on data streaming & feature scoring:
    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
  • 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 cases:

    Returns for Playstation, Helium, Korea, Shampoo, & Coffee in comparison to the S&P 500: (interactive)



    Google Search Trends for Playstation, Helium, Korea, Shampoo, & Coffee




    Tools:

  • Dataset Signal Explorer
  • Feature Explorer
  • Google Trends as Features


  • Contact

    Custom Data Streams, Features, Real-time, Context-control