MarketPsych

From AltData.wiki, The Alternative Data Encyclopedia

MarketPsych is a financial sentiment and text analytics firm that has produced natural language processing research and point-in-time sentiment data for markets since 2004.[1] Its Text Tagging Engine processes millions of news articles, regulatory filings, earnings transcripts and social media posts in real time, publishing thousands of events, topics, perceptions, sentiments and trending narratives about millions of entities mapped to standard asset identifiers.[1]

The company sells sentiment, thematic and ESG datasets to quantitative funds, banks, research firms and government agencies through feeds, a web application and Python notebooks, and licenses its models to LSEG as an expert partner within the exchange group's Text Analytics offering.[1][2] Its name is a contraction of "market psychology", reflecting founders rooted in behavioral economics and quantitative finance.[1]

What It Does

MarketPsych distills the impact of information flow on markets: investors form opinions from news and discussions, media amplifies them, and the firm's engine quantifies those beliefs and expectations into structured data supporting alpha generation, research, thematic investing, ESG screening, monitoring and risk management workflows.[1]

Data And Methodology

The firm emphasizes rigorous, point-in-time construction of its sentiment indices so that historical values reflect only information available at each timestamp, making them suitable for backtesting.[1] Its analytics identify events and themes expressed about entities over configurable time frames, and recent tooling includes a Model Context Protocol connector, branded MarketPsych Radar, designed to let AI assistants such as Claude query its social media and news analytics directly.[1]

Products

Offerings span accessible datafeeds covering sentiment and ESG measures across millions of entities, analytic tools with visualizations and predictive model code samples, web applications and Python notebooks, and the Radar MCP connector.[1] The company also publishes research commentary through a blog applying its data to topics such as political sentiment across platforms, country trust indices and commodity coverage tone.[1]

Buyers And Use Cases

Stated clients are among sophisticated investment funds, banks, research firms and agencies globally.[1] The dataset has been used in academic research published in journals including the Journal of Finance, the Journal of Banking and Finance and the Journal of Behavioral Finance, according to logos displayed on the company's site.[1] Distribution reach extends through LSEG's Financial News Service, where MarketPsych is named among the expert partners enriching LSEG's Text Analytics products.[2]

History

MarketPsych began leading NLP research for financial applications in 2004, founded by practitioners of quantitative finance and behavioral economics who sought reliable data on the beliefs and events moving markets.[1] The team has published books on behavioral markets, including titles such as Inside the Investor's Brain and Trading on Sentiment, sold through Amazon and linked from the company site.[1]

Landscape

In the news sentiment segment, MarketPsych competes with RavenPack, Alexandria Technology and in-house models at large banks, while occupying a distinct niche in psychology-derived indices and ESG-from-text scoring. Its dual role as independent vendor and embedded partner inside LSEG News Analytics illustrates how specialist NLP firms distribute through major data platforms.

Datasets from MarketPsych (1)