AI-Driven Financial Foresight

The information that is moving markets is changing - now a single Truth Social post by Trump creates or destroys tens of billions in value. See the minute bars for Solana (SOL) below move after Trump's Truth Social post on the U.S. crypto reserve. Contact us for access to the market moving data you need in real-time.

Is souring sentiment on Elon Musk driving Tesla shares lower? As we noted in a post over a week ago, declining sentiment on the US stock market indicated a price slide was likely (it happened). A similar effect seems to be hitting Tesla shares. Let us know if you'd like to see our whitepaper on how media sentiment can predict "risk-off" regimes, especially when sentiment falls from high levels.

Overall US stock index sentiment dropping fast over the past week. Sentiment downturns from high levels usually lead to further downside in markets (sentiment Granger-causes price momentum). Ask for our whitepaper.

Trump is moving global markets through his Social Media messages, in the below example, Crude Oil dropped up to 3% based on his messages about ending the Ukraine War. Let us know if you'd like more information about our low-latency news and social media data feeds.

Another week of Tariff discussion, with several companies on the positive side of sentiment due to relief of Tariff fears. The image shows companies associated with tariffs ranked from most to least positive over the past week, according to news and social media. Note Amazon is being said to evade the worst of tariff pain. Nucor is a U.S. steelmaker likely to benefit from 25% tariffs on non-US steel. Whaleco (Temu) got a reprieve from Trump's proposal to tax packages from China.

We're excited to announce that the MarketPsych Data WRDS Edition for both financial and ESG themes and sentiments are now available for research here on WRDS.The dataset is unparalleled in its global news and social media coverage. It uniquely provide sentiment, emotion, and thematic scores for every financial asset including real estate, interest rates, and cryptocurrencies. A point-in-time ESG data set is also available.SUMMARY: MarketPsych WRDS Edition (MWE) includes Buzz and Sentiment scores - derived from thousands of global news and social media sources dating back to 1998 - for dozens of topics across more than 42 sectors and industries, 275 equity indices, 170 currencies, 3,000 locations, 130,000 companies, 112 commodities, and 600 cryptocurrencies. The ESG version includes ESG Buzz and Sentiment scores for dozens of ESG topics across 130,000 companies and 250 countries and territories. Data is published separately for news and social media. MarketPsych's data is used by researchers and quants in over 25 countries. MarketPsych's data has been extensively researched in academic and industry studies and has appeared in over 300 academic papers in top finance journals, including the Journal of Finance, Energy Economics, Journal of Portfolio Management, and the Journal of Financial Economics.Please visit us on WRDS or respond to this email if you'd like more information or sample data. And please note, MarketPsych's data is also available via the London Stock Exchange Group (LSEG)).Best wishesThe MarketPsych Data Team

Companies ranked by the negativity of tariffs for their businesses, summarized from the past 7-days of media about these companies. The lowest ranked is Constellation Brands, who imports alcoholic beverages into the automotive companies occupy most of the bottom 10. There is concern about tariff blowback onto Palantir and Nvidia. METHODOLOGY: Sentences with more than 30 co-occurrences of a company name and synonyms of "Tariffs" (import taxes, etc...) in a single sentence were selected from the past 7 days. The average sentiment of those sentences was calculated and is represented in the length of the blue bar in the image below, where a longer bar indicates more negative sentiment.

Publicly-traded companies associated with DeepSeek AI ranked from most positive to most negative portrayals by the media. On the positive side, Apple could use cheap AI in it's phones and AMD's chips can be used to create DeepSeek-like models. On the negative side, ASML (excellent AI without their extreme Ultraviolet), Oracle (just announced billions of investment in the unnecessary(?) StarGate), and Broadcom (designing for NVDA). Contact us to learn more about the power of real-time NLP for discerning market trends.