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 Text Tagging Engine provides 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, thematics, 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, sentiments, trending themes and narratives affecting assets in the information flow about millions of entities. 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, sentiments, trending themes and narratives affecting assets in the information flow about millions of entities. 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
Social Media Sentiment Surrounding AI Stocks
Common wisdom says social media is hype and professional news is more cautious, but we aren’t seeing that for AI hardware stocks. We analyzed news and social media sentiment separately for ten large AI hardware companies in Q2 2026: • Social media was more negative than the news for all stocks. • The biggest news-social gaps: Micron, TSMC, Vertiv, and Intel.
July 09, 2026
Which AI Hardware Companies Lost Favor in June 2026?
Which AI hardware companies fell out of favor in June 2026? In 25 years of stock research, high media sentiment about a company tends to forecast higher future stock returns versus companies with lower sentiment. The attached image is an analysis of 29 AI supply chain companies, using the MarketPsych MCP on news, social media, and transcripts. Each company is ranked against its own past 12 months of media sentiment. A few highlights: • Near their 12-month sentiment highs: HPE, Dell, Applied Materials, and Intel.
July 08, 2026
A Year of Media Coverage on the AI Boom
What does a year of media coverage say about the AI hardware boom? We analyzed news, social media, and earnings-call transcripts for 29 companies from chip designers to server builders and data centers using our #MCPs. Five findings: • Media sentiment cooled in June but stayed positive. • 85% of these companies discussed the cost of running AI on their latest earnings calls. Executives brought it up 126 times; analysts asked about it 7 times.
July 06, 2026
How We Can Turn Unstructured Text Into Market Insight
A much-anticipated and illuminating video on the MarketPsych and LSEG partnership and products. Big thank you to LSEG Data & Analytics’ Matt Watson & Giulia Antonioli! See the YouTube video here: https://www.youtube.com/watch?v=twg2Lw0wlQI https://www.youtube.com/watch?v=twg2Lw0wlQI
June 26, 2026
Buy On The Rumor, Sell On The News
The enthusiasm around the upcoming SpaceX IPO may rekindle an old stock market pattern: buy on the rumor and sell on the news. A the anticipation builds, and investors build long positions in space stocks (i.e. RocketLab, AST Spacemobile), the excitement can bleed into related stocks. However, space is a long game, and the IPO “consumes” risk-taking capital. And starting shortly after the IPO, space and other meme stocks slide over the following months. Our data was built to identify such patterns in markets, as described in our book.
June 04, 2026
Our Data Feeds Are On Databricks
We are excited to announce that our data feeds are now available on Databricks! Here is the link: https://lnkd.in/g5KmT_mp We already have clients who are onboarded and using our MarketPsych Research Accelerator. They are testing 4 of our LSEG Data & Analytics datasets over the course of 12-months. Here is the link: https://lnkd.in/gkFNf5Kj
May 28, 2026
Using Our Radar MCP to Analyze US Midterm Elections
Shown below is an image of the US midterms election analysis that has been done with Claude on our Radar MCP. The results of the analysis show more negativity towards Republicans than towards Democrats. This is across both news and social media when looking at millions of daily messages.
May 27, 2026
Using Our Radar MCP to Find Companies Involved With Humanoid Robots
Below is a chart using our Radar MCP to find companies involved with humanoid robotics in news and media commentary. Claude integrates with our Radar MCP to create thematic baskets based on media commentary. This is a great complement to our API-driven thematic search and basketing tool called Radar UI.
May 20, 2026
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