MarketPsych Data

We develop text analysis software that quantifies economically predictive sentiments and tones in the news and social media.
#NLP #FinTech

[MarketPsych Data @marketpsychdata]

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.

Let us know your thoughts in the comments.
#marketpsych #politics

[MarketPsych Data @marketpsychdata]

How favorably a political party or affiliation ranks in social media sentiment depends on the “political reputation” of the social media platform, it appears.

Let us know your thoughts in the comments.
#marketpsych #politicalsentiment #politics #socialmediasentiment

[MarketPsych Data @marketpsychdata]

Using our MarketPsych Radar MCP connector with Claude shows 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.

[MarketPsych Data @marketpsychdata]

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.

[MarketPsych Data @marketpsychdata]

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.

#marketpsych #mcp #claude #socialmediasentiment

[MarketPsych Data @marketpsychdata]

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.

[MarketPsych Data @marketpsychdata]

Dr. Richard Peterson comments on AI economic and market impact, via Invezz's Harsh Vardhan at the Zero Sum podcast:

https://t.co/Jds6L7GA9t

[MarketPsych Data @marketpsychdata]

We ran 6 months of news and social media NLP data using our MarketPsych Radar MCP on gold, silver, and copper.

Positive and negative expectations are elevated simultaneously. The tone is polarized, not uniformly bullish or bearish.

Scores = MarketPsych index points x100.

[MarketPsych Data @marketpsychdata]

Running AI is getting cheaper.

The emerging pattern appears to be that cheaper AI is framed as more business for the companies driving costs down, and as price pressure on memory and standard-server sellers.

-MarketPsych MCP for LSEG, News and Social Media, April to June 2026.

[MarketPsych Data @marketpsychdata]

Common wisdom says social media is hype and professional news is more cautious, but we don’t see that for AI hardware stocks.

Please #comment for the full report.

Data Source: MarketPsych MCP for #LSEG MarketPsych Analytics, News and Social Media, April to June 2026.

[MarketPsych Data @marketpsychdata]

Which AI hardware companies fell out of favor in June 2026?

This image is an analysis of 29 AI supply chain companies, using the MarketPsych MCP on news, social media, and transcripts.

#Comment below if you'd like to see the full report.

#AI #Semiconductors #Investing

[MarketPsych Data @marketpsychdata]

What does a year of media coverage say about the AI hardware boom?

We analyzed news, social media, and earnings-call transcripts for 29 companies from chip designers to server builders and data centers using our #MCPs.

Request the full report in the #comments.

[MarketPsych Data @marketpsychdata]

A much-anticipated and illuminating video on the MarketPsych and LSEG partnership and products.

Big thank you to LSEG Data & Analytics’ Matt Watson & Giulia Antonioli!

See the YouTube video here: https://t.co/VrkxTR6Wdl

[MarketPsych Data @marketpsychdata]

The enthusiasm around the upcoming #SpaceX IPO may rekindle an old stock market pattern: buy on the rumor and sell on the news.

Our data was built to identify such patterns in markets, as described in our book.

#marketpsych

[MarketPsych Data @marketpsychdata]

Excited to announce that our data feeds are available on Databricks! https://t.co/M3S5aYhUes

We have clients onboarded and using our MarketPsych Research Accelerator - testing 4 of our LSEG Data & Analytics datasets over the course of 12-months: https://t.co/ouInKLjJ6T

[MarketPsych Data @marketpsychdata]

The US #Midterms #Election analysis done here with #Claude on our Radar #MCP. It shows more negativity towards Republicans than towards Democrats. This is across news and social media when looking at millions of messages daily.

[MarketPsych Data @marketpsychdata]

Companies involved with #humanoid robotics. Claude integrates with our Radar MCP to create thematic baskets based on media commentary.

This is a great complement to our API-driven thematic search and basketing tool called Radar UI.

#thematic #MCP #Claude #themes

[MarketPsych Data @marketpsychdata]

Using our Radar #MCP with #Claude to extract a timeline of #ESG #Controversies about a turnaround story: little known Australian company (Nuix Ltd). Traditional ESG data still has them in the penalty box.

[MarketPsych Data @marketpsychdata]

In 2020, our then-intern Tiago Quevedo Teodoro had an idea: investing in the currencies of countries with the highest business media #Fear.

Borrowing from the bottom 20% of interest-rate currencies and deploying into high-fear markets produced higher and more stable returns.

[MarketPsych Data @marketpsychdata]

MarketPsych's Bond "Fear" predicts U.S. Treasury bond risk premia with strong statistical support (22-30% out-of-sample R²) after controlling for traditional yield curve, macroeconomic, and sentiment predictors.

Read here:
🔗 https://t.co/lueCFmUFWO