hodler

26 May 2026, 14:34

Hyperliquid Adds Macro Prediction Markets, HYPE Explodes Above $64

Weeks after announcing the launch of outcome-based markets, Hyperliquid has added macro events to its roster of tradeable predictions. At the time of this writing, the platform supports two markets: May CPI year-over-year June Fed rate change Both of these currently have minimal open interest, while the originally launched Bitcoin “above or below” daily market managed to attract around $140,000 in volume over the past 24 hours. Source: Hyperliquid The move comes as HYPE’s price renews its rally, soaring by about 8% in the past couple of hours alone, currently trading at above $64.3 for a new all-time high. The token has remained one of the best-performing cryptocurrencies in the past weeks. It increased from below $40 to its current price this month, driven by skyrocketing institutional demand and overall excitement. HYPE ETF flows were positive last week – a stark contrast to the broader industry, which saw over $1.5 billion in cumulative outflows. Data from hl.eco shows that the cumulative outcome market volume has already topped $52 million – a far cry from Polymarket or Kalshi’s volumes, but it’s also worth pointing out that it’s an avenue launched merely weeks ago. The post Hyperliquid Adds Macro Prediction Markets, HYPE Explodes Above $64 appeared first on CryptoPotato .

26 May 2026, 14:20

Silver Price Forecast: XAG/USD Holds Below Key Averages as Bearish Pressure Persists

BitcoinWorld Silver Price Forecast: XAG/USD Holds Below Key Averages as Bearish Pressure Persists Silver prices (XAG/USD) are consolidating in a tight range during Tuesday’s trading session, with the precious metal struggling to reclaim ground above several key moving averages. The persistent bearish undertone reflects ongoing headwinds from a stronger US Dollar and rising Treasury yields, which continue to dampen demand for non-yielding assets like silver. Technical Setup: Below the 50, 100, and 200-Day Moving Averages From a technical perspective, XAG/USD remains capped below its 50-day, 100-day, and 200-day simple moving averages (SMAs). This alignment is a classic bearish signal, indicating that sellers maintain control in the medium to long term. The 200-day SMA, currently near the $24.50 region, acts as a significant resistance level. A sustained move above this threshold would be needed to shift the near-term bias to neutral or bullish. On the downside, immediate support is seen near the $22.80 area, a level that has held during recent pullbacks. A decisive break below this support could open the door for a test of the $22.00 psychological level and potentially the 2023 lows around $21.90. Fundamental Drivers: Dollar Strength and Rate Expectations The broader macro environment remains challenging for silver. The US Dollar Index (DXY) is hovering near multi-month highs, supported by hawkish signals from the Federal Reserve. Market participants are pricing in a higher-for-longer interest rate scenario, which increases the opportunity cost of holding precious metals. Additionally, rising US Treasury yields, particularly the 10-year note, are drawing capital away from non-yielding assets. Industrial demand, which accounts for a significant portion of silver consumption, is also showing signs of softening. Weak manufacturing data from China and Europe has raised concerns about global economic growth, further weighing on silver’s outlook. What This Means for Traders For short-term traders, the consolidation below key moving averages suggests a cautious approach is warranted. The bearish undertone implies that any rallies toward resistance levels could be selling opportunities. However, a surprise catalyst—such as a weaker-than-expected US jobs report or a sharp escalation in geopolitical tensions—could trigger a short-covering rally. Long-term investors may view current levels as an accumulation zone, but a clear technical breakout is needed to confirm a trend reversal. Conclusion Silver remains in a bearish consolidation phase, with prices trading below critical moving averages. The technical outlook favors sellers unless a sustained move above the 200-day SMA materializes. Traders should monitor upcoming US economic data, including the Consumer Price Index (CPI) and retail sales figures, for fresh directional cues. Until then, the path of least resistance for XAG/USD appears lower. FAQs Q1: Why is silver price falling despite inflation concerns? Silver is facing headwinds from a strong US Dollar and higher interest rates, which reduce its appeal as an inflation hedge. Additionally, industrial demand concerns are weighing on the metal. Q2: What are the key resistance levels for silver? The primary resistance is the 200-day moving average near $24.50. Below that, the 50-day and 100-day SMAs around $23.80 and $24.00 also act as barriers. Q3: Could silver rebound soon? A rebound is possible if US economic data disappoints, weakening the Dollar. However, a clear technical breakout above the 200-day SMA is needed to confirm a bullish reversal. This post Silver Price Forecast: XAG/USD Holds Below Key Averages as Bearish Pressure Persists first appeared on BitcoinWorld .

26 May 2026, 14:15

BNP Paribas: British Pound Set for Stabilisation as Gilt Yields Rise

BitcoinWorld BNP Paribas: British Pound Set for Stabilisation as Gilt Yields Rise Analysts at BNP Paribas have issued a new forecast suggesting the British pound is likely to stabilise in the near term, supported by higher gilt yields. The French banking giant’s currency strategy team sees the current market dynamics as providing a floor for sterling, even as broader economic uncertainties persist. Gilt Yields as a Key Support Factor The core of BNP Paribas’ argument rests on the recent rise in UK government bond yields, or gilts. Higher yields make UK-denominated assets more attractive to foreign investors, which in turn increases demand for the pound. This mechanism, often referred to as the yield channel, is a traditional driver of currency flows. The bank notes that the yield differential between UK gilts and other major sovereign bonds, particularly US Treasuries and German Bunds, has widened in favour of the UK, providing a tangible buffer for GBP. Context and Market Background The pound has faced considerable headwinds in recent months, including a stubbornly high inflation rate, a slower-than-expected economic recovery, and political uncertainty ahead of the next general election. However, the Bank of England’s cautious approach to interest rate cuts has kept yields elevated. BNP Paribas’ view aligns with a growing consensus that while the UK economy faces structural challenges, the currency is not currently pricing in a disorderly scenario. The stabilisation forecast suggests that the risks of a sharp depreciation have diminished, at least in the short term. Implications for Investors and Businesses For businesses engaged in cross-border trade, a stabilising pound reduces the risk of sudden cost fluctuations in imports and exports. For forex traders, the BNP Paribas note provides a clear anchor point: expect range-bound trading rather than a breakout move. The bank’s analysis implies that the pound may trade within a relatively narrow band against the euro and the dollar, with any significant move requiring a fresh catalyst, such as a surprise shift in Bank of England policy or a major geopolitical event. Conclusion BNP Paribas’ assessment offers a measured, data-driven outlook for the British pound. While not predicting a strong rally, the bank’s expectation of stabilisation provides a useful reference for market participants. The key variable to watch remains the trajectory of gilt yields and the Bank of England’s monetary policy decisions in the coming months. FAQs Q1: Why do higher gilt yields support the British pound? Higher gilt yields increase the return on UK government bonds, attracting foreign capital. This inflow of investment creates demand for the pound, which helps support its value in the foreign exchange market. Q2: Is BNP Paribas predicting a rally for the pound? No. The bank is forecasting stabilisation, not a rally. This means they expect the pound to trade within a relatively stable range rather than appreciating or depreciating sharply. Q3: What could change the stabilisation outlook? Key risks include a sudden change in Bank of England interest rate policy, a sharp move in global bond yields, or unexpected economic data that alters investor sentiment toward the UK economy. This post BNP Paribas: British Pound Set for Stabilisation as Gilt Yields Rise first appeared on BitcoinWorld .

26 May 2026, 14:05

Kalshi Launches Prediction Market for Art Prices, Expanding into Speculative Trading of Fine Art

BitcoinWorld Kalshi Launches Prediction Market for Art Prices, Expanding into Speculative Trading of Fine Art Kalshi, the regulated prediction market platform, has announced the launch of a new market that allows users to trade on the future prices of specific artworks. The move marks a significant expansion of prediction markets into the traditionally opaque and illiquid fine art sector, enabling retail traders to speculate on the value of pieces by high-profile digital and traditional artists. How the Art Prediction Market Works Kalshi’s new contracts allow traders to buy and sell shares based on whether the price of a particular artwork will rise or fall over a set period. The platform, which is regulated by the Commodity Futures Trading Commission (CFTC), uses public auction results and verified sales data to settle contracts. Early listings include works by digital artists Beeple and Pak, whose NFT-based art has seen volatile pricing in recent years. Each contract represents a binary outcome — up or down — and trades in real-time based on market sentiment. This structure mirrors Kalshi’s existing markets for events like Federal Reserve interest rate decisions and weather patterns, but applies it to an asset class that has historically been difficult to value objectively. Implications for the Art Market The introduction of prediction markets for art prices could bring greater transparency to a sector known for private sales and subjective valuations. By aggregating crowd-sourced predictions, Kalshi aims to create a continuous, data-driven price discovery mechanism for artworks that are rarely traded on public exchanges. However, the move also raises questions about market manipulation and the suitability of speculative trading for culturally significant assets. Art market analysts have noted that small trading volumes in these contracts could make them susceptible to price swings driven by a few large traders, rather than genuine shifts in collector demand. Regulatory and Market Context Kalshi’s CFTC registration provides a layer of oversight that distinguishes it from unregulated crypto-based prediction platforms. The company has previously launched markets for economic indicators, climate events, and political outcomes, all of which are settled using official government data. For art prices, Kalshi relies on publicly reported auction results from major houses like Christie’s and Sotheby’s, as well as verified on-chain sales data for NFT artworks. The launch comes amid growing interest in alternative assets and tokenization. While traditional art investment funds have existed for decades, they typically require high minimum investments and lock-up periods. Kalshi’s market offers lower barriers to entry, with contracts priced at fractions of the underlying artwork’s value. Conclusion Kalshi’s art price prediction market represents a novel intersection of regulated finance and the art world. While it offers potential benefits in terms of liquidity and price transparency, the market’s long-term viability will depend on sufficient trading volume and the accuracy of its settlement mechanisms. For now, it provides a new way for traders to engage with art valuation, even if they never set foot in a gallery. FAQs Q1: Is Kalshi’s art prediction market legal? Yes. Kalshi is registered with the Commodity Futures Trading Commission (CFTC) and operates under U.S. derivatives regulations. The art price contracts are classified as event contracts, similar to those for economic indicators. Q2: How are the art prices determined for settlement? Kalshi uses publicly available auction results from major auction houses and verified blockchain sales data for NFT artworks. Contracts are settled based on the realized sale price of the specific artwork referenced in the contract. Q3: Can anyone trade on Kalshi’s art market? Yes, but only in jurisdictions where Kalshi is licensed. Users must create an account and pass KYC (Know Your Customer) verification. The platform is available to retail traders in most U.S. states, though some restrictions apply. This post Kalshi Launches Prediction Market for Art Prices, Expanding into Speculative Trading of Fine Art first appeared on BitcoinWorld .

26 May 2026, 14:01

Is OpenAI's Altman right to be 'delighted' that AI has not caused 'jobs apocalypse?'

OpenAI CEO Sam Altman has said that he was wrong to predict widespread white-collar job losses from artificial intelligence, saying he is “delighted” the feared “jobs apocalypse” has not materialized. However, his new position sits uneasily in the face of a growing body of research showing AI is already squeezing workers at both ends of the career ladder. Speaking virtually at a Commonwealth Bank of Australia event on Tuesday, May 26, Altman told CBA CEO Matt Comyn that OpenAI had been “roughly right” on its technological forecasts since launching ChatGPT in 2022 but “pretty wrong” on the social and economic consequences. He said he had expected more entry-level white-collar positions to vanish by now than actually have. What did Altman say about how AI affects jobs? Altman traced his change of heart to a personal experiment where he said that he let an AI answer Slack and email messages on his behalf, labeling each reply as coming from “Sam’s AI.” The exercise convinced him that people still place high value on authentic human interaction, adding that many jobs contain elements that machines cannot easily replace. “We really do care about our interactions with people and this thing, which is a huge amount of my time, is not something that I can imagine myself outsourcing to an AI anytime soon,” Altman said at the conference. Altman acknowledged that his earlier warnings may have stoked unnecessary alarm. “People are like ‘oh you could have saved the world a lot of fear mongering and a lot of doom and gloom,'” he said. “But at the time I was like ‘I see this is a real risk we should probably talk about it.'” However, he did not cite any employment figures to support his position. In fact, he has been less cautious in other recent appearances. Earlier this year, he told CNBC-TV18 at the India AI Impact Summit that customer service jobs performed over the phone or computer would be “totally, totally gone” in the near future. He has also said that traditional work skills now carry a two-to-three-year half-life. What picture do the actual numbers paint? Data gathered in the first quarter of the year from both the Yale Budget Lab and the Brookings Institution show that macro-level unemployment has been relatively stable. Yale Budget Lab found no meaningful shift in occupational mix or unemployment for AI-exposed roles However, that does not tell the whole story, as research from Anthropic, published in March, introduced a measure called “observed exposure” that combines theoretical AI capability with real-world usage data. The study found that workers in the most exposed professions are more likely to be older, female, more educated, and higher-paid. At the same time, Anthropic’s data showed suggestive evidence that hiring of younger workers has slowed in exposed occupations since late 2022. That two-sided pressure, where experienced workers face displacement risk while younger ones struggle to enter the workforce at all, complicates Altman’s latest talking points. Cryptopolitan has previously reported that S&P 500 companies laid off over 400,000 positions in the past year, making it the first annual employment decline since 2016. Also, entry-level developer hiring in the United States has dropped 55% since 2019. Companies are already acting Altman’s reassurance arrived the same week Meta began laying off approximately 8,000 employees, with the company describing the cuts as part of a restructuring tied to AI investment. Outplacement firm Challenger, Gray & Christmas tallied nearly 50,000 AI-linked job cuts announced by U.S. companies so far in 2026, accounting for roughly 17% of all announced layoffs this year. Goldman Sachs research found that AI reduced monthly U.S. payroll growth by about 16,000 jobs over the past year, nudging the unemployment rate up by 0.1 percentage point, according to the same report. The effect showed up not through mass layoffs but through weaker hiring, particularly for junior roles. “AI seems to be impacting labor finally, but it’s actually not so much through increased layoffs. The main channel tends to be reduced hiring, especially reduced hiring of junior workers,” Daniel Keum, associate professor of management at Columbia Business School, told CBS News. Morgan Stanley research published in January found that British firms cut a net 8% of their workforce due to AI over the prior year, the worst rate among major economies studied, even as those same companies reported an 11.5% average productivity gain, according to Cryptopolitan’s earlier coverage . The Federal Reserve’s own data adds nuance The Federal Reserve Board’s 2025 household survey found that one in four American workers now use generative AI on the job, with 81% of those users saying it saves them time, as Cryptopolitan previously reported. The New York Fed examined whether hiring had declined in AI-exposed occupations and found “little indication” of a distinct AI-driven drop in labor demand, though overall hiring has slowed since ChatGPT’s launch. Researchers at the University of Pittsburgh who tracked state-level unemployment claims found that no single model of AI vulnerability predicted job losses well on its own, but an ensemble approach could account for close to 20% of employment changes, according to the university’s research summary published in PNAS Nexus. Altman’s IPO timing raises questions OpenAI is preparing to confidentially file for a U.S. initial public offering in the coming weeks, with a potential valuation target approaching $1 trillion. The timing gives Altman a commercial incentive to soften the narrative around AI-driven job losses at precisely the moment his company seeks public investors. His own company’s policy positions also hint that internal expectations remain more cautious than his public tone. OpenAI published a 13-page policy document earlier in 2026 calling for taxes on automated labor, a national public wealth fund that is partly seeded by AI companies, and pilots of a 32-hour working week. Those proposals already presume that a major labor-market disruption is ahead. Don’t just read crypto news. Understand it. Subscribe to our newsletter. It's free .

26 May 2026, 14:00

Ethereum treasury firms lean on staking as ETF pressure builds: Report

Everstake said staking made up 60% of disclosed revenue among six Ethereum treasury firms, while loss-making companies posted $1.41 billion in losses.