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AI-Driven Financial Foresight

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

Our Process
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Distilling the impact of media on markets
With accessible datafeeds, applications, and tools
1
Investors form opinions about assets based on news, research, corporate documents, and online discussions
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Media Outlets such as traditional news and online social media amplify such opinions, creating feedback loops
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MarketPsych’s NLP engines provide AI-assisted analytics across millions of media articles, documents, and online posts daily
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Datasets are created by aggregating topic and sentiment analytics data on millions of entities across time frames
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Workflows supported include alpha generation, research, ESG, monitoring, and risk management via APIs and python notebooks
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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
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Academic Papers Published With Our Data
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Latest Developments
NEWS
November 20, 2024

Will see our friends at BattleFin London on Nov 20-21st 2024.

NEWS
September 13, 2024

Looking forward to seeing our friends at Rebellion Research's Cornell Financial Engineering Manhattan 2024 Future of Finance & AI Conference.

PRESS
August 19, 2024
TechBullion: “10 Ways to Maximize Returns in the U.S. Stock Market Using AI-Driven Investment Strategies Press Link
NEWS
July 25, 2024

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

NEWS
June 15, 2024

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

NEWS
May 21, 2024

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

Recent Blog Posts
Is the Trend Still Your Friend?
Is the Trend Still Your Friend?
Today's Newsletter ________________ ________________Dear Readers, Today we open with one of the earliest observations of human behavior in financial markets. More than 400 years ago Josef De La Vega identified a behavioral pattern in his advice to individual investors.
October 01, 2024
Effect of Volkswagen's Planned Factory Closure on Sentiment and Share Price
Effect of Volkswagen's Planned Factory Closure on Sentiment and Share Price
The image shows how VW's share price reacted after announcing their first planned closure of a German factory. In our research we've identified a consistent 1-2 day negative return for stocks following a surprising negative news release. This average negative return is still true for both small and large stocks, including constituents of major global indices. Report coming soon.
September 10, 2024
Sentiment Shift Regarding the US Economy's "Soft Landing" Possibility
Sentiment Shift Regarding the US Economy's "Soft Landing" Possibility
Sentiment about a "soft landing" for the U.S. economy has turned from positive ("yes, soft landing is happening") to negative ("we're going into a recession") over the past few days. In the chart below the blue columns are the daily count of mentions of "soft landing" in the global business media. The blue line represents the daily average sentiment for the sentences where "soft landing" appears. The soft landing sentiment flipped negative on Tuesday, Sep 3, 2024 after the ISM showed a continuing mild manufacturing contraction through August. When the narrative shifted, the equity markets started to sell-off.
September 06, 2024
The Performance of Companies Mentioning "AI" on Earnings Calls
The Performance of Companies Mentioning "AI" on Earnings Calls
How did companies mentioning AI in their Earnings Calls perform over the past 5 years? LSEG's Haykaz Aramyan, PhD and our own Tiago Quevedo Teodoro created a thematic portfolio using our new Transcripts Analytics. See the report here: https://lnkd.in/eNdbDpdZ
August 05, 2024
Companies Benefiting and Suffering from the CrowdStrike Outage
Companies Benefiting and Suffering from the CrowdStrike Outage
Companies affected by the CrowdStrike outage ranked by their outage-associated sentiment in business media. Amazon, Zscaler, and FedEx look to benefit (note their positive associated sentiment), while Telstra, Delta Airlines, Tesla, and American Airlines are hit hardest by the software glitch.
July 19, 2024
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
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
Hiring frame