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
Comparing Apple’s (AAPL) Stock Price to Social Media Sentiment During Apple’s Annual Product Launches
How did Apple’s stock move compare to social media sentiment during Apple’s September product launch month over the past ten years? There has been a consistent buy on the rumor and selling the news pattern around Apple product launches. We used the MarketPsych MCP Radar tool connected with Claude to track how social media sentiment surrounding the Apple stock price changes before vs. after Apple product launches. The last decade of product launches showed an average -0.3% return in the week following the product launches. The iPhone 18 launched on September 18th, and there was an uncharacteristic gain of 5% in the day following the launch. The market seems to think the iPhone 18 will be a bigger hit than was expected.
September 21, 2026
Five Below Believes Their Ability to Identify Trends is Key to the Company’s Success
Five Below's earnings came in above expectations, and shares jumped 8% after the market closed this past Wednesday. Per Bloomberg, CEO Winnie Park noted “Our ability to identify, pursue, and scale trends is a meaningful competitive advantage,” she said on a call with analysts. Refer to our previous post to learn about the viral “squishy dumpling” trend currently on social media. Five Below is a major retailer of the squishy dumpling toys. Source: Bloomberg, “Five Below Lifts Outlook, Aims to Ramp Up Appeal to Gen Alpha”
September 02, 2026
Comparing Social Media Mentions of the Viral “Squishy Dumpling” to Five Below’s (FIVE) Stock Price
We created a chart using our MarketPsych MCP Radar connector with Claude to compare the stock price of Five Below (FIVE) with mentions of the viral “squishy dumpling” over the past 12 months. Our clients detect these trends in our Trending Themes dataset and in our social media and transcript monitoring tool Radar Database, which has a collection of all business news media sentences in 28 languages. This is similar to our work on Labubu driving Pop Mart International stock: The Labubu craze: Using NLP to understand the behaviour behind market surges and bubbles Upticks in social media mentions of “squishy dumpling” preceded sharp rises in the stock price of FIVE.
August 29, 2026
Social Media Forecast More Uniformly Bullish Than News, Per Our MarketPsych Radar MCP Connector
We used our MarketPsych Radar MCP connector with Claude to explore the news vs. social media sentiment surrounding gold prices over the past six months. We found: Social media forecasts are more uniformly bullish about the price of gold, whereas news forecasts have generally trended slightly more pessimistic, with a notable optimistic swing on August 16th. A six month analysis of gold price sentiment shows that social media did not become bearish on gold prices, while news sentiment dipped into bearish multiple times. News forecasts only became bearish on gold prices during price lows.
August 22, 2026
Examining Stock Prices Earns Following A Miss or Beat, Using LSEG MarketPsych Analytics Dataset
There is a 1.3 - 1.5% spread in stock price returns over the 10 days after an earnings miss (or beat) depending on the pre-existing media sentiment tone. In a new paper using the LSEG MarketPsych Analytics dataset, "Prior Sentiment and Returns Around Earnings", authors H. Christopher Kazemi and Christos Makridis show that media sentiment alters the response of markets to corporate earnings beats and misses. You can view the paper here: https://lnkd.in/eDwn2p5b
August 19, 2026
Negative Sentiment Surrounding Politics Differs in News vs. Social Media, Our Analysis Shows
News media perceives socialists more positively than conservatives or liberals. Liberal, conservative, and socialist political parties are all viewed far more negatively on social media than by news outlets. Our MarketPsych MCP Radar was connected with Claude to create a chart comparing how much negative sentiment liberal, conservative, and socialist political parties receive from news outlets vs. on social media. Liberals are viewed far more negatively than conservatives, and slightly more negatively than socialists, on social media. In contrast, while liberals also receive the greatest amount of negative news sentiment, socialists received the lowest amount of negative news sentiment, and conservatives land in the middle.
August 15, 2026
Trust Index Scores for Six Different Countries
Using our MarketPsych Radar MCP connector with Claude, our social media analysis shows that the trust index for the United States has dropped sharply since 2025, while the trust index for the United Kingdom has slowly declined since last year. The trust index for Japan, in contrast, has been steadily climbing.
August 07, 2026
All Political Leaders From G10 Countries Have Negative Sentiment Score, per MarketPsych Radar MCP
Our analysis of social media sentiment using our MarketPsych Radar MCP connector with Claude shows that Donald Trump has the most negative sentiment of all G10 countries and Russia. Israel’s Prime Minister Benjamin Netanyahu ranks as third most negative, receiving less negative sentiment than Trump or Russia’s Vladimir Putin. Rob Jetten, Prime Minister of the Netherlands, has the lowest negative sentiment compared to Russia, Israel, and all other G10 political leaders, though still negative.
August 04, 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