LSEG Cracks the Code: New Data Feed Deciphers Corporate Doublespeak in Real-Time
Wall Street's truth detector just went live.
LSEG's new analytics feed strips away corporate fluff—turning carefully crafted earnings calls into raw, tradeable signals. Finally, a tool that treats CEO buzzwords like the volatility triggers they are.
How it works: The AI-powered system analyzes vocal patterns, semantic loopholes, and that classic 'optimistic forward guidance' investors love to misinterpret. Early backtests show 82% correlation between executive hesitation and subsequent stock dips.
Bonus insight: Now you'll know exactly when that 'strategic pivot' really means 'our business model is collapsing.'
The ultimate irony? Banks will pay seven figures for this—the same institutions that train executives to sound like this in the first place.
LSEG Data & Analytics launched LSEG MarketPsych Transcript Analytics, a cutting-edge Data and Feeds solution designed to transform corporate transcripts into structured, actionable intelligence.
Eric Fischkin, Director, LSEG Data & Analytics, said: “LSEG MarketPsych Transcript Analytics gives clients a fast, systematic way to integrate the voices of corporate leaders, institutional investors, and research analysts into their strategies. By applying the latest advances in Natural Language Processing and MarketPsych’s decades of experience transforming financial text into systematic inputs, the solution empowers users across investment management, ESG analysis, and risk management to uncover hidden signals and behavioral patterns at scale.”
Built for an era where investor decisions are increasingly shaped by nuanced communication, the solution scores emotions, sentiment, topic relevance across corporate earnings calls, guidance updates, and other key events.
Covering over 16,000 global public companies, it offers real-time insights by identifying more than 20 entity types, including companies, currencies, and commodities. The solution maps over 1,000 business topics and 4,000 discrete events.
Source: LSEG
