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Stocksnips News Sentiment V3

Data Feed by Stocksnips Inc

Added as Candidate: Feb. 12, 2020

Candidate Product
Candidate Definition
This product is in the review and/or onboarding process towards full availability. It is not currently available via FactSet.
Register Interest
Highlights
  • Unlock a powerful, new data source. Stocksnips News Sentiment is derived by analyzing SEC filings, earnings transcripts, media alerts and analyst opinions from 20 reliable sources to ensure a high signal-to-noise ratio.
  • Turn news sentiment into actionable insight. Aggregate news sentiment scores are assessed at the discrete snippet level using a financially trained machine learning model and has proven to be less noisy compared to social media and other type of sentiment signals. Mean weighted correlation was 0.23 (sentiment change vs price change) for 629 randomly selected tickers from the Russell 1000 universe.
  • Enhance alpha. Stocksnips proprietary sentiment signal has proven predictive value as it incorporates a memory-based attenuation model to ensure that the impact of past and current news is weighted appropriately and is a leading indicator of price changes.
Feed Coverage
Region CountTypeStart Date
Communications 158Equities4/1/2016
Consumer Discretionary 411Equities4/1/2016
Consumer Staples 123Equities4/1/2016
Energy 256Equities4/1/2016
Financials 547Equities4/1/2016
Healthcare 556Equities4/1/2016
Industrials 293Equities4/1/2016
Materials 201Equities4/1/2016
Technology 408Equities4/1/2016
Utilities 82Equities4/1/2016
Feed Details
Stocksnips News Sentiment V3 leverages an AI platform that analyzes multiple news sources to create a quantified news sentiment signal for US Equities. Stocksnips sentiment is a proprietary signal generated from the count of positive and negative snippets extracted from news articles. The Sentiment score incorporates an attenuation model that accounts for source and decay of news and is expressed as a % positive as well as a sentiment trend indicator value ranging from -100 to +100. Stocksnips News Sentiment has generated significant alpha when blended with other factors like growth, value and business momentum and has been validated by third party firms and researchers.
Firm Information
StockSnips crawls, aggregates and analyzes news related to public companies listed on Nasdaq and NYSE. Using Big Text Analytics and Machine Learning, StockSnips AI platform transforms unstructured textual data into quantified real-time news sentiment data that can be used to predict stock returns. By sifting through and summarizing millions of SEC filings and news publications, StockSnips efficiently and affordably delivers concise and unbiased financial sentiment to investors.
Data/Documents
Product Tags
Sentiment United States News