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
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
Negative Sentiment Surrounding Politics Varies By Social Media Platform, Our Analysis Shows
How favorably a political party or affiliation ranks in social media sentiment depends on the “political reputation” of the social media platform, it appears. Using our MarketPsych MCP Radar connector with Claude, we created a chart analyzing the negative sentiment towards Democratic/liberal political parties vs. Republican/conservative political parties. Right-coded term scored 0.11 better on X. On Reddit, left-coded terms scored 0.02 better. Liberal sentiment terms shown blue, and conservative sentiment terms shown in red. The chart shows that liberal politics is viewed far more unfavorably on X than it is on Reddit. The inverse is true, in contrast, for conservative politics, which are viewed far more unfavorably on Reddit than on X.
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
Optimism Surrounding The Deals; Skepticism Surrounding The Platforms
Among the surging terms this week, the AMD×Anthropic deal and Helios compute cluster carry clearly positive financial sentiment, while the Tesla earnings breakdown, Gemini 3.5 Pro coverage and the Hugging Face story are negative. We track these surging terms and themes in thousands of global business news and social media sites in real-time. There is a full report available from Claude, built on top of our MCP.
July 24, 2026
The Loudest Terms in Tech Aren’t Trending
The most talked-about technology concepts are not the trending ones: “AI” runs at just 1.1x its yearly average and “Bitcoin” at 0.6s. This week the surge shifted to US AI labs: the Hugging Face x OpenAI hacking story, an AMD × Anthropic compute deal, and fresh model launches (Gemini 3.5 Pro; GPT 5.6). Moonshot AI is running 45–90x above baseline Buzz. In the plot below “AI” and “Bitcoin” sit far to the right (high Buzz) but hug the dashed break-even line because they are not significantly buzz-ier than over the past year. The surging (high acceleration) stories are high on the y-axis. Plotting tech terms by how loud they are (this week's daily buzz vs over the past year) separates the ongoing themes from the surges.
July 24, 2026
Dr. Richard Peterson on AI’s Economic and Market Impact
Dr. Richard Peterson on AI economic and market impact (via Invezz's Harsh Vardhan at the Zero Sum podcast): • AI is more likely to add jobs than cut them. Engineering vacancies are rising, and firms adopting AI often grow headcount elsewhere. The real challenge is re-skilling speed. • This rally has real profits behind it. Unlike the dot-com era, Nvidia and Micron have real margins. • Competition is the bigger risk, not the technology. New inference chips (with on-board memory) and Chinese LLM alternatives are excellent quality.
July 21, 2026
Latest Media Sentiment Surrounding Copper
Copper's media sentiment is bullish: → Copper coverage skews towards a shortage: MarketPsych's supply-vs-demand forecast index has shown sentiment is net-negative (shortage references outweighing surplus references) for most of this year. → Demand expectations tied to AI infrastructure and electrification have kept copper's coverage tone steady through repeated macro shocks. → Miner finances are strong. Agnico Eagle's CEO cited "yet another quarter of record net income, driven by record operating margins" and raised the buyback authorization to $2 billion.
July 21, 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