AI Powered Financial Filings Insights & Analytics

Accern’s SEC 10K and 10Q dataset extract key information and events related to financial performance, compliance, corporate activities and more from all sections of the filing. These signals are the only commercially available dataset constructed using NLP techniques, powered ...

Data Fit

Use Cases

Improve Research Efficiency

Create Trading Strategies

Identify Sentiment Changes

Financial Services

Based on

Research Data

Stock Market Data

Alternative Data

Overview

Product Type
Dataset
Pricing Models
Yearly subscription
Historic Data
20 years of past data available

Geo Coverage

Focus

North America (1)
United States of America

Details

Metrics:

  • History from 2004.
  • The signals are updated as a new or amended SEC 10K/10Q is published by EDGAR.
  • Coverage of Wilshire 5000 companies and sectors.
  • Over 200 events.
  • Companies are mapped using Bloomberg FIGIs and Tickers.
    Event coverage can be extended if required

Methodology:
Accern’s financial filings NLP model has been built to cleanly parse each section of SEC 10K/10Q filings and extract highly relevant passages that contain discussions of various company events. The model then computes a sentiment along with several other analytics for each passage. (https://www.accern.com/adaptive-nlp).

Key Fields:
Section Filing
Entity
event_relevance
event_sentiment
event_hits
harvested_at
event
event_group

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