Page Metadata

About the dataset

Corporate Earnings

  • Introducing corporate earnings call sentiment data as one of the contributing factors to the Nasdaq Analytics Hub. The Analytics Hub is a machine intelligence engine that combines third-party and Nasdaq datasets for new, 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.
  • Historical analysis of earnings calls and other publicly available statements, including scoring on trend, momentum, and aggregate sector sentiment, plus 10K and 10Q regulatory filings:
    • Context and insights into the language used by both corporate officers and analysts
    • Covering ~3,000 publicly traded companies in the US
    • Historical data covering at least five years of history; some as far as 2001
    • Scoring manifests as a number centered on zero—indicated by negative or positive corresponding outlooks
    • Additional value-added data and analytics fields derived from Nasdaq’s machine learning
  • Raw data provided by Prattle. Prattle quantifies market-moving language from central bank and corporate communications via advanced analytics and machine learning.

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