CNN

S&P 500
2026-07-21 10:00:00

S&P 500 low-volatility index flips its usual pattern, raising a warning for U.S. stocks

The S&P 500 Low Volatility Index has posted a pattern that author Jim Paulsen describes as unprecedented since 1990: it has, on average, risen on days when the S&P 500 falls and declined on days when the benchmark rises over the past six months. In the article translated by TechFlow and published by Odaily, Paulsen argues that the move reflects a market pulled in two directions at once. Investors still do not want to miss the upside tied to the AI trade, but they are also increasingly worried about being caught too late in crowded, expensive positions. Paulsen frames the setup as a collision between FOMO and what he calls NBO, or fear of not getting out in time. He says historical data suggest this kind of low-volatility behavior has often been a weak signal for the broader S&P 500 and for newer-economy groups such as technology and communication services. The piece also points to a shift in market internals: even with strong earnings, technology stocks and the Mag 7 have only modestly outperformed the broader market since mid-2024, while small caps, value shares, and international equities have moved closer to new-economy performance over the past year.

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S&P 500 low-volatility index flips its usual pattern, raising a warning for U.S. stocks
S&P 500
2026-07-21 09:02:38

S&P 500 Low Volatility Index Flips Its Usual Pattern, Raising a Warning for Stocks and Tech

Jim Paulsen argues that the S&P 500 Low Volatility Index has entered a historically unusual regime: over the past six months, it has risen on average when the broader S&P 500 falls and declined on average when the benchmark rises. That is the reverse of how low-volatility stocks typically behave. In the article translated by TechFlow, Paulsen says the pattern points to a market driven at the same time by fear of missing out, or FOMO, and fear of not getting out in time, which he labels NBO. He treats the low-volatility index as a proxy for investor psychology, saying the current setup suggests investors are rotating into higher-risk names on up days while rushing back into defensive stocks on down days. Using data since 1990, Paulsen says this signal has historically been linked to weaker forward returns for the S&P 500. He also says the sector mix tends to favor “old economy” groups over newer economy leaders when the spread drops into its lowest quartile, while technology and communication services have usually done better when the spread sits higher. His conclusion: if the spread remains depressed, investors may need to be more cautious on both the broader market and on tech-heavy leadership.

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S&P 500 Low Volatility Index Flips Its Usual Pattern, Raising a Warning for Stocks and Tech
Donald Trump
2026-07-17 09:40:00

Trump Media to sell millisecond Truth Social data feed tied to Trump posts

Trump Media & Technology Group, the parent company of Truth Social, said it will launch Truth API on Aug. 1, offering institutional clients a millisecond-level real-time data feed covering posts from the platform’s 10 most influential accounts. The company said some customers had already signed on before launch, though pricing was not disclosed. Interim CEO Kevin McGurn said markets were already moving on Truth Social posts and framed the product as part of a strategy to monetize proprietary assets through high-margin recurring revenue. The rollout adds a new layer to Trump Media’s recent corporate strategy. Over the past two years, the company has moved from a SPAC listing to a crypto treasury plan, a fintech push under Truth.Fi, and a stock-based merger announcement with TAE Technologies. As of the first quarter of 2026, Trump Media reported revenue of $871,200, a net loss of $405.9 million, holdings of 9,542 BTC valued at about $767 million, and 756 million CRO worth about $54 million. The same day the API was announced, CNN published an investigation saying Donald Trump praised companies on Truth Social days after buying shares in 21 firms. The White House said the assets were held in a discretionary account managed by an independent third-party financial institution, and that Trump and his family had no control over which stocks were bought or sold.

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Trump Media to sell millisecond Truth Social data feed tied to Trump posts
Trump Media
2026-07-17 05:03:02

Trump Media to sell millisecond Truth Social post feeds to Wall Street clients starting Aug. 1

Trump Media & Technology Group, the parent company of Truth Social, said it will launch Truth API on Aug. 1 and sell institutional clients millisecond-level real-time feeds of posts from the platform’s 10 most influential accounts. Interim CEO Kevin McGurn said the product is part of a strategy to monetize proprietary assets through high-margin, recurring revenue, though the company has not disclosed pricing and only said some customers had signed on before launch. The announcement adds a new layer to Trump Media’s business model. Over the past two years, the company has moved from its SPAC listing to a Bitcoin treasury strategy, a fintech push under Truth.Fi, and a stock-based merger plan with TAE Technologies. In this case, the company is not just monetizing equity, treasury assets, or acquisition currency. It is selling faster access to content that the company itself says can move markets. That timing drew added attention because CNN on the same day published an investigation saying Donald Trump bought shares in 21 companies and then praised some of them on Truth Social within days. The White House said Trump’s assets are held in a discretionary account managed by an independent third-party financial institution and that neither Trump nor his family controls which stocks are traded. Ethics lawyer Virginia Canter told CNBC the API offering presents “a huge conflict of interest,” given that a sitting president is using a private channel in which he remains a major shareholder.

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Trump Media to sell millisecond Truth Social post feeds to Wall Street clients starting Aug. 1
Ghost Font
2026-07-13 07:42:10

Ghost Font’s ‘human-only’ message was cracked in a day after a single prompt

Ghost Font, a browser-based experiment by developer Eric Lu, briefly looked like a fresh way to hide text from AI systems while keeping it readable to people. The tool turns typed text into a noisy video: pixels forming letters move upward while the background noise moves downward. Humans can spot the message through motion, but frame-by-frame analysis leaves only static snow. Initial tests appeared to support the idea. According to the article, Claude Fable and GPT-5.6 Sol Ultra both failed to recover the real hidden message and instead reported decoy text embedded in the video. ChatGPT 5.5 Pro reportedly spent 19 minutes and still hallucinated a message that was not there. Gemini 3.1 Pro also returned a planted decoy. That edge did not last. Prompt engineer Riley Goodside gave GPT-5.6 Sol a single instruction explaining the motion directions of the letter pixels and the background. After 1 minute and 56 seconds, the model produced the correct message: “RILEY WAS HERE.” The episode turned Ghost Font from a showcase of human perceptual advantage into a test of how close current multimodal AI is to handling motion once the right cue is provided.

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Ghost Font’s ‘human-only’ message was cracked in a day after a single prompt