North America (1)
United States of America
13 years of past data available
The Brain Language Metrics (BLM) on Company Filings dataset has the objective of monitoring several language metrics on 10-Ks and 10-Qs company reports for approximately the largest 1000 US stocks. Some examples of calculated language metrics are financial sentiment, percentage of words belonging to financial domain classified by language types (e.g. “litigious” language), similarity between documents.
Free sample available
|One-off purchase||Not available|
|Monthly license||Not available|
|Revenue share||Not available|
EDGAR SEC Filings
Accern’s SEC 10K dataset extracts theme-based signals for all US companies from the past 15 years of SEC 10K filings. These signals are the only commercially available dataset constructed using nat...
Brain Thematic Baskets
by Brain Company
Algorithm-based selection among a large database of companies of a basket of stocks whose business is related to a specific theme (es. "nanotechnology").
Patent and Innovation Metrics - Package 3
by Quant IP
Patent Data and Innovation Metrics for all companies with patent activity
Japan+ 112 others
|History||25 years of past data available|
|Use Case||Portfolio Optimization, Benchmarking + 1 more|
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 th...
|History||20 years of past data available|
|Use Case||Financial Services, Improve Research Efficiency + 2 more|
Language Analysis of Earnings Calls
by Brain Company
Brain has developed a method to analyze the sentiment and various language complexity metrics of earnings calls transcripts.
|History||13 years of past data available|