Trading Central analyses investor sentiment through natural language processing

Trading Central has released a new sentiment analysis product, TC Crowd Insight, which uses natural language processing and proprietary new algorithms to scan thousands of industry news and social media sources published online every day to show how investors feel about a financial instrument.

TC Crowd Insight offers simple-to-deploy sentiment analysis for online brokerage platforms. Its analytical insights offer a new perspective that complement traditional research and supports alpha generation, risk mitigation, and precision timing for trades.

Key features of TC Crowd Insight include:

  • Sentiment Score: A unique insight into how the crowd feels, ranging from “very positive” to “very negative”.
  • Subjectivity Index: Shows how rational or irrational the crowd’s opinion of an entity is. 
  • Confidence Index: Based on the volume of news evidence, how much weight should the sentiment score carry in an investor’s decision-making?

"Today's financial landscape is rapidly evolving, and our goal at Trading Central is to make it as simple as possible for online brokers to align with shifting needs," says Alain Pellier, CEO and co-founder. "That's why we're incredibly proud to offer new and novel analytics that showcase innovation but are easy to deploy. Crowd Insight introduces sentiment research to our existing line-up of award-winning technical, economic, news, and fundamental analysis."

“In today’s turbulent markets, we believe it's critical that investors are given a broad range of research tools to validate their decisions,” says Jerome Favresse, managing director of TC Labs. “After nearly two years of proprietary natural language and algorithmic development, we’re proud to empower investors with the collective wisdom of the crowd.”