MARKETPSYCH
Powering minds over markets
home-banner

AI-Driven Financial Foresight

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

Our Process
home-banner
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
2
Media Outlets such as traditional news and online social media amplify such opinions, creating feedback loops
3
MarketPsych’s NLP engines provide AI-assisted analytics across millions of media articles, documents, and online posts daily
4
Datasets are created by aggregating topic and sentiment analytics data on millions of entities across time frames
5
Workflows supported include alpha generation, research, ESG, monitoring, and risk management via APIs and python notebooks
6
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
deutsche-bank.png
agf.png
opti-risk.png
lseg.png
axa.png
ht-media-group.png
hull.png
finra.png
Academic Papers Published With Our Data
economic_letters.png
portfolio.png
ssrn.png
ifw.png
the_journal_of_behavioral_finance.png
the_journal_of_finance.png
journal_of_banking_and_finance.png
physica.png
Latest Developments
NEWS
May 21, 2024

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

NEWS
March 21, 2024

Join our next webinar: "Demystifying the Use of LLMs in Finance". Registration: https://lnkd.in/eRurwPbm

 

NEWS
March 20, 2024

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

NEWS
January 24, 2024

Looking forward to seeing our friends at BattleFin in Miami Jan 24-26th where we'll be showing off our new & upcoming products!

NEWS
November 09, 2023

We're presenting at The International Conference on Data Science in Finance: The ESG Data Analytics Forum, “The Impacts of ESG Controversies" in Vienna, Austria.

PRESS
November 01, 2023
Swissquote: “Richard L. Peterson: Psychology and finance all in one Press Link
Recent Blog Posts
Bitcoin Sentiment Ahead of Halving
Bitcoin Sentiment Ahead of Halving
The overall media sentiment about bitcoin is in the high end of its range. According to academic research on social media and daily asset prices, "Sentiment predicts positive next-day returns, but attention predicts negative next-day returns." https://lnkd.in/g8GgXdHX. We see a similar effect at monthly and longer horizons for many assets (stocks, currencies, etc...). News media attention to bitcoin lately has been very high. The Bitcoin Halving is likely to occur in late April. From a psychological perspective, the increasing scarcity of bitcoin increases its attractiveness. Yet the last halving was May 11, 2020, and previously one occurred in July 2016. Before and after the past halvings, there was no clear price impact of the events. I've noticed in recent conversations at finance events that the launch of ETFs (specifically the SEC approval) has legitimized Bitcoin in the eyes of conservative financial institutions and family offices. Many are discussing new bitcoin products and investments. Surprisingly to me, the tradfi adoption of bitcoin as a store of value seems to be in early stages. So is Bitcoin peaking? What does the halving mean? It's hard to know in the short term: sentiment is higher (and vulnerable to a fall). The high overall attention implies downward pressure in future months. Longer term (years) the momentum is still positive.
April 10, 2024
Largest Cryptocurrencies Sentiment Heatmap: March 2024
Largest Cryptocurrencies Sentiment Heatmap: March 2024
Historically social media sentiment about individual cryptocurrencies tends to drive their prices higher. The highest sentiment large coins in March 2024 so far are #DOT #ARBITRUM #MATIC #AVAX #BNB.
March 13, 2024
Top Small Cryptocurrencies by Sentiment
Top Small Cryptocurrencies by Sentiment
Here's a ranked view on some of the smaller #cryptocurrencies' sentiment from #socialmedia covering the period March 1 through March 12, 2024.
March 13, 2024
Our Media-based Stock Prediction Model, Continued Outperformance
Our Media-based Stock Prediction Model, Continued Outperformance
We built a 30-day U.S. stock predictive model based on Media Sentiment using a simple Machine Learning algorithm - updated returns in the below image. Humans, even in hyper-competitive environments like the US stock market, respond predictably to news and social media content.The model was put in production in Aug 2019 and launched commercially on Jan 2020 in partnership with the StarMine team at LSEG Data & Analytics.The model ranks stocks (1 to 100) based on their likelihood of outperformance using a ML algo applied to only our LSEG MarketPsych Analytics news and social media-derived data. The blue line in the chart below depicts the spread between the top-ranked decile (10%) of stocks and the bottom-ranked decile - the absolute return portfolio. The gray-shaded regions are the 2-year training periods.The model performs similarly regardless of market cap. It is orthogonal to other StarMine models. It has about 30% monthly turnover, with no transaction costs assumed. Longer term models also work well with media data (we've tested out to 3 year forecasts).
March 12, 2024
Post Office Ltd and Fujitsu Scandal: Impact on ESG Scores
Post Office Ltd and Fujitsu Scandal: Impact on ESG Scores
For our UK readers, the evolving scandal at the UK's Post Office Ltd & Fujitsu is rapidly impacting Fujitsu's ESG scores. Background: The digital accounting system that the postmasters (regular people) entered their daily sales & cost calculations into were being fraudulently altered via remote access from the UK's Post Office Ltd / Fujitsu. In our ESG data Post Office Ltd has the lowest (1st percentile) Community & Social scores and a 4th percentile ESGControversies score (very bad). The blame has gradually shifted from Post Office Ltd to Fujitsu over the past month in social media, and Fujitsu's ESG scores have dropped substantially - see graphic below.
February 19, 2024
Top Robotic Initiatives Companies
Top Robotic Initiatives Companies
In our earlier post we identified #Robotics as the industry with the most positive media sentiment in 2023 (and 2022).Attached is a list of the companies most associated with Robotic initiatives or products in the past two months. Based on our #quant research, the valuations of such companies tend to (on average) outperform when associated with higher media sentiment (as they have been).  
January 02, 2024
Positive Industries in 2023
Positive Industries in 2023
Every year we look at the most positively viewed industries in global #businessnews and #socialmedia.For 2023 we see #Robotics on top (as it was in 2022) followed by #RenewableEnergy, #Tourism, #Fintech, and #Infrastructure.Further down the list the industries with a country code after them indicate the industry is primarily favored in one region (US = United States, CN = China).The stock prices of the highest #sentiment companies and industries on average outperform over the following year.In 2022 AI was #2 but fell to #33 based on legal and social challenges.We wish you all a happy, healthy, and prosperous 2024! #happynewyear  
January 01, 2024
Bitcoin Momentum
Bitcoin Momentum
#Bitcoin sentiment has been at highs and the bull keeps running - a phenomenon we call sentiment momentum. In this paper https://lnkd.in/gasgp9BQ we show that across thousands of global stocks, sentiment precedes price momentum (using Granger Causality Analysis), and the chart below illlustrates that effect in #BTC.In the chart, the black price bars are BTC/USD and the smooth lines are two moving averages of #sentiment (30 day and 90 day superimposed). The red shading indicates negative sentiment pressure (the 30-day sentiment is lower than 90-day), and blue shading indicates more positive sentiment.Social sentiment on BTC is the highest since 2020, and news sentiment is the highest since 2018. When sentiment falls substantially, we're likely to see a price correction, but that isn't happening yet.  
December 11, 2023
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