Powering minds over markets

AI-Driven Financial Foresight

Empowering the Financial Industry with Data Feeds, Predictive Analytics, and Advanced NLP Solutions

Our Process
Distilling the impact of media on markets
With accessible datafeeds, applications, and tools
Investors form opinions about assets based on news, research, corporate documents, and online discussions
Media Outlets such as traditional news and online social media amplify such opinions, creating feedback loops
MarketPsych’s NLP engines provide AI-assisted analytics across millions of media articles, documents, and online posts daily
Datasets are created by aggregating topic and sentiment analytics data on millions of entities across time frames
Workflows supported include alpha generation, research, ESG, monitoring, and risk management via APIs and python notebooks
Web App makes workflows and content easily accessible with visualizations, web tools, code samples, and research reports
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.
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.
Check out our books on behavioral markets
Clients with Public Testimonials
Academic Papers Published With Our Data
Latest Developments
July 25, 2024

Join us for our July 25th webinar: “How LLMs are Revolutionizing Investing” jointly with LSEG.

June 15, 2024

Check out our new short video: "The LLM Revolution in Quant Investing" on YouTube.

May 21, 2024

Looking forward to seeing our friends at BattleFin NYC on May 21-22nd!

March 21, 2024

Join our next webinar: "Demystifying the Use of LLMs in Finance". Registration:


March 20, 2024

Please stop by our booth at BattleFin Singapore March 20-21st where we'll showcase our AI-based products.

November 01, 2023
Swissquote: “Richard L. Peterson: Psychology and finance all in one Press Link
Recent Blog Posts
Bitcoin’s Sudden Drop Preceded by a Decline in Social Sentiment
Bitcoin’s Sudden Drop Preceded by a Decline in Social Sentiment
Bitcoin's sudden drop was preceded by a fall in social sentiment. While there may be a short-term bounce, sentiment still hasn't completely shaken out the weak hodl'ers.
July 08, 2024
Changing Trends in Apple’s Products and Services Mentions During Earnings Calls
Changing Trends in Apple’s Products and Services Mentions During Earnings Calls
The LSEG MarketPsych Transcripts Analytics offers insightful perspectives into the focal points of a company. The accompanying graph, developed by our colleague Elliot Chung, illustrates this by detailing the proportion of mentions that various Apple products and services received during Apple's earnings calls. This is measured as a fraction of the total mentions of all products and services. In the early 2000s, the Mac accounted for nearly 50% of these references. However, post-2007, the iPhone emerged as the predominant topic of discussion. At its peak, the iPad nearly matched the iPhone in terms of mentions, though it has since seen a decline in focus. Although the VisionPro represents one of Apple's most significant recent launches, it is currently referenced only about as frequently as the AirPods and the Apple Watch. Finally, there is a long-term trend in the overall increase in references to services (such as Apple TV, AppleCare, iCloud, etc.)
July 03, 2024
Companies Associated with NVIDIA in the Media
Companies Associated with NVIDIA in the Media
Which companies are likely to benefit from Nvidia's incredible revenue surge? By scanning global news and social media over the past 30-days, we found the companies with the highest percent of co-references to the topic "Nvidia" in each sentence. In the image below, the company name is to the left and the blue bar length represents the percentage of sentences containing the company name that also contain the proper noun "Nvidia". 1. Dell supplies server hardware2. OpenAI (private) runs on Nvidia's H100 GPUs.3. Nvidia Corp is the legal entity4. Global Mofy is a declining penny stock being linked with Nvidia in social media (caveat emptor).5. Foxconn's stock rallied alongside Samsung and HK Hynix after Nvidia's blowout earnings last week.6. Astera makes components used in Nvidia GPUs.7. NetApp is partnered with Nvidia and provides software tools to manage data across Nvidia infrastructure....and many more (see image below)  
May 27, 2024
Earnings Conference Call Sentiment Systematically Impacts Share Prices
Earnings Conference Call Sentiment Systematically Impacts Share Prices
Stock prices of companies with the most positive earnings conference call hashtag#sentiment outperform over the following month. Below is a monthly updated example using past 90-day deciles. • UNIVERSE: All US companies with available transcript data• REBALANCING: Monthly at the close of the last trading day• LOOKBACK: 3 months (usually last available quarterly call) Note the stocks are bought at the beginning of the month, up to 90 days after the earnings conference call. The price drift is quite significant and long-term.
May 20, 2024
This is the Most Positive Earnings Season Since 2002 (according to earnings call sentiment)
This is the Most Positive Earnings Season Since 2002 (according to earnings call sentiment)
Better-than-expected results have appeared more frequently than not in this earnings season. LSEG (London Stock Exchange Group) Workspace data shows that about 56% of companies have beaten the mean estimate. Such strong performances have been reflected in the earnings conference calls. In the plot below, we compare the average financial sentiment (from the LSEG MarketPsych Transcript Analytics) of all available earnings calls in the quarter until today with that of the same period in previous years. This is looking to be the most positive sentiment earnings season since the start of the data in 2002. Year to date, the FTSE All-World Index is up 8%, which is above average for the same period in previous years, although not abnormally higher.
May 16, 2024
U.S. Earnings Call Sentiment Reaches a 20-year High
U.S. Earnings Call Sentiment Reaches a 20-year High
Over the past 20 years corporate sentiment on earning scalls has been increasing (blue line) alongside stock prices (Russell 2000, IWV, black line). Our research on quantile performance indicates that highly positive sentiment calls precedes stock price hashtag#outperformance (a post on that effect coming soon). But why is higher call sentiment occurring? Could it be that consistently improving corporate fundamentals are reflected in more positive call sentiment? Are analysts becoming more polite (or maybe only the friendliest are selected to ask questions)? Or is it a result of executive communication coaching to avoid gaffes and add more positive polish? Or maybe all of the above…
May 15, 2024
How High CEO Optimism Drives Stock Outperformance
How High CEO Optimism Drives Stock Outperformance
Public US-based companies led by highly optimistic CEOs have outperformed their peers over the last two decades. Our preliminary analysis, using the LSEG (London Stock Exchange Group) MarketPsych Transcripts Analytics data feed, reveals that companies helmed by the top 5% of CEOs, in terms of optimism levels during Earnings Calls, exceeded their peers' future stock performance by an average of 0.5% per month. The optimism metric in the data feed is one of 13 emotional dimensions evaluated in each sentence of the earnings calls. It utilises an LLM-based architecture designed to assess the probability of speakers conveying specific emotions.
May 15, 2024
In Earnings Calls: Top 10 Most Optimistic U.S. CEOs
In Earnings Calls: Top 10 Most Optimistic U.S. CEOs
The LSEG MarketPsych Transcripts Analytics offers detailed sentiment analysis on corporate communications, including quarterly earnings calls. It analyses each sentence to produce insights on topics, sentiment levels, and the probability of several emotions, including optimism. Our initial studies using this data suggest a positive correlation between CEO optimism during earnings calls and relative stock price performance in the following months. With hundreds of earnings calls for Q1 2024 already underway, we present a partial rank of the top 10 CEOs from Russell 3000 companies based on their optimism during the current earnings season. As of now, Mr. Olivier Le Peuch, CEO & Director of Schlumberger, has had the most optimistic discourse. While Optimism is depicted in the underlying blue bars, the superimposed black bars depict the financial sentiment level of these CEOs. The optimism is higher than sentiment for every CEO. Notable disparities between the optimism and sentiment levels, such as those observed in the case of Ms. Joanna Geraghty, CEO & Director of JetBlue Airways, could also serve as valuable features for future stock price modelling.
May 08, 2024
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
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