Stocksnips leverages an AI platform that analyzes articles from curated news sources to create quantified News Sentiment signals for 3,000+ US Equities. Our sentiment signal is a proxy for Investor Sentiment which is known to affect a company’s stock price. Several studies have shown that News Sentiment is a lead indicator for stock price movement and can generate excess returns by blending it as a powerful portfolio allocation factor.
Our financially-trained machine learning models and big-text analytics classify topics and sentiment from relevant news snippets that affect a company’s sentiment. “News Sentiment” as derived from dozens of validated news sources combines various potential drivers such as analyst estimates of future earnings, industry supply chain factors, macro-economic environment and firm-specific intelligence obtained from reliable sources. Unlike social media derived sentiment, which is prone to noise and sampling bias, News Sentiment is the “aggregate expert sentiment” from financial news sources that influence investor behavior and are a more robust indicator of investor sentiment.
Our memory-based model for deriving sentiment takes into account the discrete and infrequent nature of news, and has been validated for Long / Short investment strategies and has outperformed other portfolio factors. Our products are the fruits of research collaboration by machine learning experts and data scientists with active investors and financial experts.
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