Our Process
Distilling the impact of information on markets
With accessible datafeeds, applications, and AI tools
1
Investors form opinions based on news, research, transcripts, and online discussions
2
Media & Corporate Reporting deliver new information and amplify opinions, creating feedback loops
3
MarketPsych’s NLP engines provide AI-assisted analytics across millions of news articles, filings, transcripts, and online posts in real-time
4
Datasets & Analytic Tools are created by identifying key themes and sentiments expressed about millions of entities across time frames
5
Workflows supported include alpha generation, research, ESG, monitoring, and risk management
6
Web App & Python Notebooks render analytics easily utilized with visualizations, web tools, code samples, and predictive models
Our Mission
Empowering Finance through NLP and AI Solutions
What We Do
Since 2004 MarketPsych has been leading research into natural language processing (NLP) and AI for financial applications. We are known for producing high-quality, rigorous, and point-in-time sentiment data. And we do much more…
We help organizations extract value and insights from large amounts of text - quickly and easily. Our products enhance client returns, reduce risk, and unearth key insights. Our clients are among the most sophisticated investment funds, banks, research firms, and agencies globally.
Our analytics identify and publish thousands of events, topics, perceptions, and sentiments in the information flow about millions of entities and assets. We map assets point in time across all common identifiers.
We help organizations extract value and insights from large amounts of text - quickly and easily. Our products enhance client returns, reduce risk, and unearth key insights. Our clients are among the most sophisticated investment funds, banks, research firms, and agencies globally.
Our analytics identify and publish thousands of events, topics, perceptions, and sentiments in the information flow about millions of entities and assets. We map assets point in time across all common identifiers.
Our Team
MarketPsych is a contraction of Market Psychology. Our team’s background is rooted in quantitative finance, behavioral economics, and technology. We share a passion for advancing AI technology, finance research, and having a positive impact.
As quantitative analysts, our founders identified a hole in traditional financial data. If information flow moved markets, where could a quant find reliable data reflecting the beliefs, expectations, and events moving markets - market psychology? Over the next 20 years our team endeavored to produce the most reliable and robust sentiment and event data from unstructured text.
As quantitative analysts, our founders identified a hole in traditional financial data. If information flow moved markets, where could a quant find reliable data reflecting the beliefs, expectations, and events moving markets - market psychology? Over the next 20 years our team endeavored to produce the most reliable and robust sentiment and event data from unstructured text.
Check out our books on behavioral markets
Clients with Public Testimonials
Academic Papers Published With Our Data
Latest Developments
Leveraging NLP to Extract Behavioral Insights from the Labubu Phenomenon
Our latest blog on Labubu. Read more in our latest blog: https://bit.ly/4pqf09f
January 20, 2026
Webinar: Transforming Financial Text Into Structured Data
New webinar next week - using Gen AI in finance for summarization, analysis, and prediction with LSEG Data & Analytics.
January 12, 2026
MarketPsych at BattleFin Miami 2026
Very excited to join BattleFin and Tim Harrington in Miami Jan 21-23rd! Looking forward to seeing our friends there!
January 07, 2026
2025 Industry Media Sentiment Ranking
We ranked industries from highest to lowest media sentiment in 2025. A few highlights:Aerospace and defense are at the top for 2025.Fintech is in the 2nd spot.AI fell out of the top 10 this year.Robotics remains in the top 5, but down from 1st position.
January 04, 2026
MarketPsych’s Mission: Understanding the Biology of Markets
Our mission is creating data feeds and AI tools that reflect the biology of markets and the psychology of their participants. https://www.linkedin.com/posts/richardlpeterson_investing-economics-behavioralfinance-activity-7413307846223851520-6bRc?utm_source=share&utm_medium=member_desktop&rcm=ACoAAC6JlHMBOqjtIOqtXUHrZp07ELiss9Gk0FY
January 03, 2026
Case Study: Press Release Sentiment as a Stock Price Signal
At MarketPsych, we've long perceived Press Releases as less valuable than premium news feeds, since press releases are paid corporate news, designed to capture attention. But... they are quite valuable as a stock price signal. In recent research with LSEG Data & Analytics we see that positive press releases are predictive of higher share price returns. In this study, company-level sentiment scores are ranked each month based on the companies' average press release sentiment from major newswires (Business Wire, PR Newswire, and Globe newswire) provided as part of the machine-readable news suite at LSEG. Firms were binned into deciles based on the prior one-month average press release sentiment. The subsequent forward returns over 90 days were plotted for the average forward return of each decile. This was done for a 5-year period from 2020-2024.
December 16, 2025
Webinar: Harnessing NLP Tools to Transform Unstructured Text into Actionable Insights
Next NLP webinar date -- Dec 2nd.👉 Save your spot now: https://lseg.group/47GBInP
November 18, 2025
MarketPsych at BattleFin London 2025
Looking forward to seeing our friends at BattleFin London next week!
November 14, 2025
We Are Hiring!
Interested in NLP, AI or Quant Research? Our team is continually seeking talent with the same interests as us!
Contact Us Now NLP Engineer
Develop, implement, and optimise NLP systems for sentiment analysis and classification tasks to monitor market moods and trends
Python Developer
Create tools and solutions that drive data analysis and research, client services and infrastructure support
System Administrator
Monitor and optimize infrastructure, improve systems robustness across multiple servers and services