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Gold Price by End of December Gold prices have slipped as the latest U.S. inflation data exceeded expectations, strengthening the likelihood of an interest rate hike by the Federal Reserve. The Consumer Price Index …

Gold Price by End of December Gold prices have slipped as the latest U.S. inflation data exceeded expectations, strengthening the likelihood of an interest rate hike by the Federal Reserve. The Consumer Price Index (CPI) for August showed a 0.4% increase month over month and 3.4% year over year, prompting markets to price in an 85-90% chance of a rate hike at the upcoming Fed meeting. This development typically pressures gold, which does not yield interest, leading to a decline in its appeal as an investment. Markets appear to interpret the inflation data as a significant headwind for gold prices, which have been fluctuating between $4,355 and $4,414 per ounce. The probability of gold reaching $15,000 by the end of December has been negatively impacted, with prediction markets reflecting a decreased likelihood of such a spike. The odds of gold hitting this target have shown a consistent downward trend, with market participants adjusting their expectations in response to the potential monetary policy shift. Gloria A stock you don't own just moved — and two you do depend on it. Gloria Finance sees the connections others miss. See the connections → Advertisement The Federal Reserve’s decisions regarding interest rates remain a key factor in the gold market, with any indication of rate hikes likely to further suppress gold prices. Meanwhile, geopolitical factors and central bank actions continue to play a role in shaping market sentiment, alongside the evolving macroeconomic landscape. Key Takeaways Recent U.S. inflation data appears to have increased expectations for a Federal Reserve rate hike, which is consistent with pressure on gold prices. Market pricing suggests a lower probability of gold reaching $15,000 by December, reflecting adjustments in response to potential monetary policy changes. The spot gold price has remained in a tight price band, with current economic indicators suggesting limited upward momentum in the near term. What to Watch Investors will be closely monitoring the Federal Reserve’s upcoming meeting for any announcements regarding interest rate policy, which could further influence gold market dynamics. Additionally, geopolitical developments and central bank purchasing patterns may offer clues on future gold price movements. The interplay of these factors will be crucial in determining whether gold can stage a comeback or continue facing downward pressure. Macro, rates, and crypto—what moved markets and what matters next. Daily. Free. Join 34,000+ readers across crypto, finance, and policy. Email address Subscribe free We respect your privacy. Unsubscribe anytime. Get live prediction-market analysis, powered by Vera. Sign up for Vera.

The high-yield AI datacenter credit basket is trading wider than June 2022 levels, signaling investor caution as nearly $500 billion in AI-related debt floods the market Goldman Sachs’ high-yield AI datacenter basket is now …

The high-yield AI datacenter credit basket is trading wider than June 2022 levels, signaling investor caution as nearly $500 billion in AI-related debt floods the market Goldman Sachs’ high-yield AI datacenter basket is now trading at a spread of 353 basis points, wider than where it sat back in June 2022. Broader AI-related bond issuance expected across 2025 and 2026 carries an option-adjusted spread of 381 basis points, a meaningful premium over the wider high-yield market. The numbers behind the nervousness Goldman launched its high-yield AI issuer basket in July 2026, comprising 18 equal-weighted US high-yield names. At inception, the basket carried an average spread of 319 bps and a yield of 7.45%. For context, the broader high-yield market was sitting at 267 bps and a yield of 7.3% at the time. Gloria Bull case, bear case, or the catalyst that breaks it — Gloria Finance runs the whole research in one click. Run a playbook → Goldman’s AI leadership basket, a separate instrument tracking investment-grade AI-adjacent credits, has seen its spread widen from 74 bps to nearly 150 bps over the past 12 months. Advertisement The basket includes names like CoreWeave alongside various joint venture debt structures. Of the 23 recent datacenter joint-deal ventures Goldman tracks, 17 are now trading wider than their origination yields. New-issue concessions on large deals have widened by up to 20 bps, as demand for longer-dated tranches has cooled. Half a trillion dollars of AI debt Goldman estimates that close to $500 billion of AI-related debt will be issued in 2026 alone, representing approximately 18% of total US investment-grade supply. AI, tech, and the markets they move—in one daily briefing. Daily. Free. Join 34,000+ readers across crypto, finance, and policy. Email address Subscribe free We respect your privacy. Unsubscribe anytime. Goldman has responded to this dynamic by creating tradable instruments, custom baskets and swaps, that let investors express views on AI credit without needing to buy individual bonds. What the spread widening actually means The distinction between the datacenter basket at 353 bps and the broader 2025-2026 AI issuance OAS of 381 bps is worth noting. The wider spread on forward issuance suggests that the market expects conditions to get tighter, not looser, as more supply hits. For the companies issuing this debt, wider spreads translate directly into higher borrowing costs. A datacenter operator that could have financed a billion-dollar facility at 7.45% a few months ago is now looking at meaningfully higher rates. At the scale of the AI buildout, even 30-40 bps of additional spread across hundreds of billions in issuance represents billions of dollars in incremental interest expense over the life of these bonds. Hyperscalers like Microsoft, Google, and Amazon can finance datacenter construction off their investment-grade balance sheets at far tighter spreads. Independent operators and joint ventures, the names populating Goldman’s HY basket, don’t have that luxury.

U.S. President Donald Trump on Sunday again called on the U.S. Federal Reserve Bank to cut interest rates, even as the market expects the central bank to increase its benchmark lending rate as oil …

U.S. President Donald Trump on Sunday again called on the U.S. Federal Reserve Bank to cut interest rates, even as the market expects the central bank to increase its benchmark lending rate as oil prices and Treasury yields rise. "We should be paying - the Un… U.S. President Donald Trump on Sunday again called on the U.S. Federal Reserve Bank to cut interest rates, even as the market expects the central bank to increase its benchmark lending rate as oil pr…

The Tsinghua University spinoff has raised nearly $10 billion in public markets since its January IPO, underscoring the sheer capital intensity of the global AI race. Zhipu AI, the Chinese large language model company …

The Tsinghua University spinoff has raised nearly $10 billion in public markets since its January IPO, underscoring the sheer capital intensity of the global AI race. Zhipu AI, the Chinese large language model company trading on the Hong Kong Stock Exchange as Knowledge Atlas Technology (2513.HK), completed a $4 billion share placement in July 2026. Less than two months later, the company announced yet another financing round worth roughly $5 billion. Zhipu’s IPO in January 2026 raised approximately $558 million. Seven months later, the company sold 19.78 million H-shares at HK$1,588 each, netting around $4 billion. A capital appetite that keeps growing The July placement was priced at roughly a 13% discount to Zhipu’s previous closing price. Shares rose 22% on the day the pricing was announced. Gloria One app, one screen — every morning, Gloria Finance briefs you on what happened and how it affected your portfolio. Read your brief → Advertisement On September 13, 2026, Zhipu unveiled a combined financing package worth approximately $5 billion. The deal included two components: a share placement of 21.97 million shares at HK$714 each, raising about $2 billion, and roughly $3 billion in zero-coupon convertible bonds due September 2027. The September share placement came at around a 10% discount. Zhipu’s stock had closed at HK$793 on September 11, two days before the announcement. The convertible bonds carry an initial conversion price of HK$892.50. Shares surged between 1,500% and 1,700% from the IPO price of HK$116.20 through mid-2026. At one point, the company’s market capitalization surpassed HK$1 trillion. AI, tech, and the markets they move—in one daily briefing. Daily. Free. Join 34,000+ readers across crypto, finance, and policy. Email address Subscribe free We respect your privacy. Unsubscribe anytime. Where the money is going Zhipu has directed proceeds toward research and development, with a particular emphasis on computing capacity and its next-generation Generalized Language Model (GLM) infrastructure. The company has also earmarked funds for strategic investments and general corporate purposes. The Tsinghua connection and US restrictions Zhipu AI is a spinoff of Tsinghua University and holds the distinction of being the first pure-play large language model company to go public. In January 2025, Zhipu was added to the US Entity List, which restricts American companies from supplying certain technology and components to the firm. What this signals for AI capital markets The zero-coupon convertible bonds add another layer of complexity. By issuing $3 billion in debt that converts to equity at HK$892.50, Zhipu is essentially telling the market it expects its stock to recover. If the shares don’t reach that conversion price by September 2027, the company will need to repay the principal in cash.

Crude oil all time high predictions Oil markets are transitioning from managing immediate disruptions to addressing long-term challenges as geopolitical tensions persist following recent U.S.-Iran strikes. Brent crude and U.S. West Texas Intermediate (WTI), …

Crude oil all time high predictions Oil markets are transitioning from managing immediate disruptions to addressing long-term challenges as geopolitical tensions persist following recent U.S.-Iran strikes. Brent crude and U.S. West Texas Intermediate (WTI), the two primary global oil benchmarks, have experienced significant price increases following these events. Brent crude was recently reported at $101.21 per barrel, while WTI stood at $96.05, reflecting the highest levels since late May. This price elevation is attributed to reduced oil flows through the Strait of Hormuz, a critical artery for global oil transportation, which has been affected by tanker attacks and military activities in the region. Advertisement The current market scenario suggests a sustained period of uncertainty, with potential implications for oil pricing. The market for crude oil reaching a new all-time high by September 30 is priced at 3.4% YES, a slight increase from 2% a week ago. The December 31 market shows a more pronounced expectation, with a 13.5% YES probability. This indicates that market participants may see the extended geopolitical situation as supportive of higher oil prices in the longer term, particularly as supply disruptions continue to loom over market dynamics. Key Takeaways Market pricing suggests that long-term geopolitical tensions could influence crude oil prices, potentially reaching new highs. The current YES probability for crude oil reaching an all-time high by September 30 is 3.4%, while for December 31, it is 13.5%. Recent developments, including reduced oil flows and high crude prices, appear consistent with scenarios that could support price increases. What to Watch Observers should monitor potential supply disruptions and geopolitical developments in the Middle East, particularly those affecting the Strait of Hormuz. Key actors like OPEC and the International Energy Agency may influence market expectations through production decisions and forecasts. Future reports on geopolitical stability or instability, along with changes in global oil demand, will be critical in shaping market sentiment regarding crude oil price trajectories. Get live prediction-market analysis, powered by Vera. Sign up for Vera.

1 to 25 of 92 Go to Page 1234 PreviousNext #1 theglaze 5090 sold out from all (online) retail outlets in USA and Canada , so yeah, I believe it. Posted on Sep 14th …

1 to 25 of 92 Go to Page 1234 PreviousNext #1 theglaze 5090 sold out from all (online) retail outlets in USA and Canada , so yeah, I believe it. Posted on Sep 14th 2026, 2:57 Reply #2 Crackong Is there a way to 'SLI' 5090 ? Otherwise it is just 32GB of VRAM, and the 'AI firm' will get many timeouts trying to run anything beyond 30b ... Posted on Sep 14th 2026, 3:08 Reply #3 Visible Noise AI slop. Look at the model numbers. Posted on Sep 14th 2026, 3:09 Reply #4 Darmok N Jalad All roads lead to NVIDIA. Posted on Sep 14th 2026, 3:10 Reply #5 AusWolf Just release cards without Tensor cores. You could still run FSR 3, have the superior RT performance, and it would be cheaper, too. Posted on Sep 14th 2026, 3:13 Reply #6 Visible Noise Imagine, Reddit posts aren’t truthful. Who woulda thought? Posted on Sep 14th 2026, 3:14 Reply #7 Fatloader Crackong Is there a way to 'SLI' 5090 ? Otherwise it is just 32GB of VRAM, and the 'AI firm' will get many timeouts trying to run anything beyond 30b ... You can use multiple GPU's VRAM in more ways than just SLI. Visible Noise AI slop. Look at the model numbers. I noticed that too. AI is getting scary good these days. The one that really gave it away for me was the upside-down "5" on one of them. You can use multiple GPU's VRAM in more ways than just SLI.I noticed that too. AI is getting scary good these days. The one that really gave it away for me was the upside-down "5" on one of them. Posted on Sep 14th 2026, 3:17 Reply #8 AusWolf Visible Noise AI slop. Look at the model numbers. AI creating images of AI farms. That's some Inception level stuff there. :laugh: Now the question is, why? AI creating images of AI farms. That's some Inception level stuff there. :laugh:Now the question is, why? Posted on Sep 14th 2026, 3:21 Reply #9 Chaitanya Darmok N Jalad All roads lead to NVIDIA. Not atleast according to Leather jacket wearing man who will deny everything. Not atleast according to Leather jacket wearing man who will deny everything. Posted on Sep 14th 2026, 3:21 Reply #10 Hecate91 What a shocker, a gaming card priced out of reach of gaming consumers is no longer a gaming card when only AI companies can buy them. It's the crypto scam all over again, except the bubble is much bigger this time. Posted on Sep 14th 2026, 3:22 Reply #11 AusWolf Fatloader I noticed that too. AI is getting scary good these days. The one that really gave it away for me was the upside-down "5" on one of them. And the R instead of 9 on another one... Thinking about it, a GeForce SORO would sound cool. Maybe next gen will change the naming scheme? :D Edit: Or maybe not. Looking at GPU prices is SORO-ful enough. :laugh: And the R instead of 9 on another one... Thinking about it, a GeForce SORO would sound cool. Maybe next gen will change the naming scheme? :DEdit: Or maybe not. Looking at GPU prices is SORO-ful enough. :laugh: Posted on Sep 14th 2026, 3:26 Reply #12 Bigshrimp Lol... The images do look doctored as others have mentioned. Looks all over the place on those product box labels. Posted on Sep 14th 2026, 3:38 Reply #13 wolf Better Than Native Notably, the cards in these shared photos aren't even RTX 5090D or v2 variants, the China-specific SKUs NVIDIA already nerfed for AI workloads to comply with export rules More like notably, the cards in the shared photos aren't even real. More like notably, the cards in the shared photos aren't even real. Posted on Sep 14th 2026, 3:40 Reply #14 wNotyarD While for whatever my opinion's worth I don't discredit or disagree with what the news here is supposed to convey (after all, probably most 5090s are indeed being used for such ends), using that bad AI image is bad journalism. The first and last pictures look more real, though. Posted on Sep 14th 2026, 3:44 Reply #15 Rulumi AusWolf Just release cards without Tensor cores. You could still run FSR 3, have the superior RT performance, and it would be cheaper, too. That would of have worked until around 2019 or 2020 as an alternative model, but nowdays almost no company and OEM would be willing to purchase such GPU. Specially now that is being pushed in a small way across devices, NPUs and integrated graphics even in some cases for small models, across computers and phones. That would of have worked until around 2019 or 2020 as an alternative model, but nowdays almost no company and OEM would be willing to purchase such GPU. Specially now that is being pushed in a small way across devices, NPUs and integrated graphics even in some cases for small models, across computers and phones. Posted on Sep 14th 2026, 3:47 Reply #16 Dr. Dro Crackong Is there a way to 'SLI' 5090 ? Otherwise it is just 32GB of VRAM, and the 'AI firm' will get many timeouts trying to run anything beyond 30b ... LLMs are generally not limited to a single GPU's memory pool, mirroring isn't necessary. DrUsmanSaleem Notably, the cards in these shared photos aren't even RTX 5090D or v2 variants, the China-specific SKUs NVIDIA already nerfed for AI workloads to comply with export rules. That means NVIDIA has already proven it knows how to limit a GeForce card's AI performance while keeping gaming performance intact, yet hasn't applied that same restriction to the standard RTX 5090 sold everywhere else. Given how central AI has become to NVIDIA's business, it seems unlikely the company will step in this time either. A note on this, the D v2 is significantly slower than the global and D variants owed to its reduced memory bandwidth. The reduction from 32 to 24 GB also reduced it from 512 to 384-bit bus, reducing memory bandwidth accordingly. Its memory is 448 GB/s slower in addition to the tensor performance limits imposed on the "regular" D variant, so it suffers accordingly, gaming included. This is how they got the card below the performance level allowed for export. LLMs are generally not limited to a single GPU's memory pool, mirroring isn't necessary.A note on this, the D v2 is significantly slower than the global and D variants owed to its reduced memory bandwidth. The reduction from 32 to 24 GB also reduced it from 512 to 384-bit bus, reducing memory bandwidth accordingly. Its memory is 448 GB/s slower in addition to the tensor performance limits imposed on the "regular" D variant, so it suffers accordingly, gaming included. This is how they got the card below the performance level allowed for export. Posted on Sep 14th 2026, 3:47 Reply #17 zenlessyank Phake phucking photos. I feel a different part of my brain getting angry. Posted on Sep 14th 2026, 3:51 Reply #18 AusWolf Rulumi That would of have worked until around 2019 or 2020 as an alternative model, but nowdays almost no company and OEM would be willing to purchase such GPU. Specially now that is being pushed in a small way across devices, NPUs and integrated graphics even in some cases for small models, across computers and phones. Well, true. I did actually have a 1660 Ti and it was great. Well, true. I did actually have a 1660 Ti and it was great. Posted on Sep 14th 2026, 3:52 Reply #19 Tesselator Visible Noise AI slop. Look at the model numbers. Good catch! I wonder how and why Good catch! I wonder how and why @DrUsmanSaleem missed that?!? Posted on Sep 14th 2026, 4:16 Reply #20 AusWolf Tesselator Good catch! I wonder how and why @DrUsmanSaleem missed that?!? And I wonder why people would create such pictures. And I wonder why people would create such pictures. Posted on Sep 14th 2026, 4:21 Reply #21 zenlessyank AusWolf And I wonder why people would create such pictures. Clicks and ego. Clicks and ego. Posted on Sep 14th 2026, 4:23 Reply #22 matar F this shit what happened to limit one per household days we don't want one per customer household is ok every household should be able to buy 1 gpu at MSRP. but its always the rich get what they want and they forget who supported them back in the days when they were no one i have been buying Nvidia since 1999 so since day 1, Posted on Sep 14th 2026, 4:29 Reply #23 halcyon I'm all for this. The situation is already fubar. Connector-burn RTX5090s now going for 3-4x the price doesn't change anything for the ordinary consumers However, the more hw the final stages of AI bubble spends on, the bigger the crash and the bigger the discounts at the end. Bring it on! Posted on Sep 14th 2026, 5:21 Reply #24 A Computer Guy Fatloader You can use multiple GPU's VRAM in more ways than just SLI. I noticed that too. AI is getting scary good these days. The one that really gave it away for me was the upside-down "5" on one of them. The shiny floor with no tile seams and the dudes that look like they are doing nothing also clues. There is also the reflection of a stack of boxes on the floor has some inaccuracies. The shiny floor with no tile seams and the dudes that look like they are doing nothing also clues.There is also the reflection of a stack of boxes on the floor has some inaccuracies. Posted on Sep 14th 2026, 5:55 Reply #25 AusWolf A Computer Guy The shiny floor with no tile seams and the dudes that look like they are doing nothing also clues. Of course they're doing something! They're installing GPUs into industrial printers, obviously! :rolleyes: And the green goo on the floor is glue to make sure they can't run away before their shift ends... Or rather, ever. :D Of course they're doing something! They're installing GPUs into industrial printers, obviously! :rolleyes: And the green goo on the floor is glue to make sure they can't run away before their shift ends... Or rather, ever. :D Posted on Sep 14th 2026, 5:58 Reply

Strategy sold over $200 million in Bitcoin, and the price went up, which tells you something important about where this market is headed. Strategy, the company formerly known as MicroStrategy that essentially turned itself …

Strategy sold over $200 million in Bitcoin, and the price went up, which tells you something important about where this market is headed. Strategy, the company formerly known as MicroStrategy that essentially turned itself into a publicly traded Bitcoin piggy bank, did something it almost never does: it sold Bitcoin. Over $200 million worth, to be precise. The market’s response? Bitcoin rallied to approximately $64,000. Bitwise Chief Investment Officer Matt Hougan thinks that reaction tells you everything you need to know about the current state of Bitcoin demand. Gloria Wall Street's edge, now anyone's — Gloria Finance is your agentic-AI investment research terminal. Get the edge → The sell that wasn’t a panic Hougan’s core argument is straightforward. Strategy’s sales weren’t a sign of distress. They were part of a deliberate transition toward a flexible capital framework designed to support preferred stock dividends and manage cash reserves. The company has established a formal sales framework permitting up to $1.25 billion in Bitcoin disposals to meet ongoing cash obligations. Advertisement But the more interesting takeaway, according to Hougan, is what the price action revealed. When a seller dumps $200 million of an asset and the price goes up, it suggests the market has enough buy-side demand to absorb that supply without flinching. Hougan characterized this as evidence of market saturation at current price levels, meaning there are plenty of willing buyers sitting at these prices. The fact that Bitcoin didn’t crater also reduced one of the lingering fears that had dogged Strategy’s stock for years: forced-liquidation risk. If Strategy can sell Bitcoin in size without moving the market lower, the doomsday scenario where it’s forced to dump its holdings into a panicking market becomes far less plausible. The news moving money, markets, and the world—before your day starts. Daily. Free. Join 34,000+ readers across crypto, finance, and policy. Email address Subscribe free We respect your privacy. Unsubscribe anytime. From mega-buyer to portfolio manager Strategy holds over 650,000 BTC as of mid-2026, a position amassed at costs significantly below current market prices. Hougan’s view is that this transition will diminish Strategy’s overall influence on Bitcoin’s price trajectory. The shift from continuous accumulation to what Hougan describes as “judicious monetization based on market conditions” marks a maturation of Strategy’s treasury approach. The MSCI question and institutional succession One concern circulating among investors involves Strategy’s potential removal from certain MSCI indexes. Hougan estimated a 75% likelihood of this happening, which would theoretically force index-tracking funds to sell Strategy shares. In practice, Hougan argued this matters less than people think. Historical changes in index listings, he noted, have shown minimal impact on Bitcoin prices and provided little motivation for forced Bitcoin sales. Hougan predicts institutional capital will become the primary marginal buyer going forward, replacing Strategy in that role.

Securitized data-center lending has exploded from under $500M to a projected $30B in 2025, forcing CMBS investors to price risks they have never encountered before. For decades, the commercial mortgage backed securities market financed …

Securitized data-center lending has exploded from under $500M to a projected $30B in 2025, forcing CMBS investors to price risks they have never encountered before. For decades, the commercial mortgage backed securities market financed a fairly predictable cast of characters: office towers, shopping malls, apartment complexes. Then came the AI buildout, and the playbook went out the window. Data-center mortgages have become one of the fastest-growing segments in CMBS, transforming a market that has historically rewarded those who understood cap rates and lease rollovers into one that now demands fluency in power-grid capacity and GPU depreciation cycles. Gloria Your brokerage shows you balances. Gloria shows you why they moved — across every holding. See it in Gloria → From rounding error to $30 billion The scale of the shift is striking. Securitized lending backed by data centers was below $500 million before 2020. By 2025, that figure is expected to land somewhere between $27 billion and $30 billion. Advertisement JPMorgan projects the segment could reach $30 billion to $40 billion annually by 2026 and 2027, which would represent roughly 7 to 10 percent of combined CMBS and asset-backed securities issuance. A maturity wall that dwarfs the office crisis Atrium estimates that $128 billion in U.S. data-center debt comes due between 2025 and 2028. By 2029, that number climbs to $213 billion. For context, that figure exceeds the entire maturity wall facing U.S. office CMBS. AI, tech, and the markets they move—in one daily briefing. Daily. Free. Join 34,000+ readers across crypto, finance, and policy. Email address Subscribe free We respect your privacy. Unsubscribe anytime. Analysts have flagged three structural concerns in particular. The first is tenant concentration: the market is dominated by a small group of hyperscale providers, meaning a single corporate decision by one of them can ripple across multiple securitized pools simultaneously. The second is technological obsolescence, the possibility that a facility built for today’s chip architecture becomes economically stranded as hardware generations turn over. The third is power-grid constraint, which is already binding in several major data-center markets and limits both new supply and the expansion of existing facilities. Pricing the unknown Risk premiums on data-center-linked CMBS have broadly risen. Recent deals have required wider pricing spreads, a signal that investors are demanding compensation for uncertainty they cannot yet fully model. Overbuilding is already a concern in some metropolitan markets. The loans originated today will mature into whatever interest-rate and technology environment exists in 2028 and 2029, which is precisely when Atrium’s maturity estimates suggest the pressure will be most intense.

Gold Price by End of December The UK’s Financial Conduct Authority (FCA) is exploring new rules to facilitate the tokenization of gold, according to recent reports. This move aims to make physical bullion easier …

Gold Price by End of December The UK’s Financial Conduct Authority (FCA) is exploring new rules to facilitate the tokenization of gold, according to recent reports. This move aims to make physical bullion easier to divide, transfer, and use as collateral in digital markets. London, which handles around 70% of global gold activity, could see significant impacts from this regulatory shift. The proposal suggests that tokenized gold might soon be treated as transferable collateral in both digital and wholesale markets, potentially altering the dynamics of the gold ecosystem. This development comes at a time when gold prices are fluctuating, between $4,281 and $4,329 per troy ounce. Advertisement Key Takeaways The FCA’s exploration of tokenized gold regulations appears to support the potential for enhanced liquidity in gold markets. Markets suggest this regulatory change could increase accessibility and usage of gold as collateral, consistent with a YES outcome for higher gold prices. The gold market’s response to this development indicates a possible shift in how gold is utilized within financial systems. What to Watch Observers should monitor further announcements from the FCA regarding the finalization of these rules. The potential impact on gold prices will be closely watched, especially in relation to market participants’ expectations for gold reaching higher price thresholds by the end of 2026. Additionally, any movements in gold prices, particularly those breaking above key resistance levels, could serve as indicators of the broader market’s reception to these regulatory changes. Get live prediction-market analysis, powered by Vera. Sign up for Vera.

The 635-page digital asset bill now includes 126 Democratic-requested changes ahead of a critical Senate cloture vote Wall Street research firm Bernstein is flagging a meaningful shift in the political calculus surrounding the CLARITY …

The 635-page digital asset bill now includes 126 Democratic-requested changes ahead of a critical Senate cloture vote Wall Street research firm Bernstein is flagging a meaningful shift in the political calculus surrounding the CLARITY Act, the sweeping digital asset regulatory bill headed for a Senate cloture vote. Analysts led by Gautam Chhugani argue that new ethics provisions and stablecoin concessions embedded in the final draft could peel off enough Democratic votes to push the legislation forward. The updated bill runs 635 pages and incorporates 126 substantive changes that Democrats specifically requested. That’s a lot of red ink for a piece of legislation that already cleared the Senate Banking Committee on a 15-9 bipartisan vote back in May 2026. Gloria Stocks in one app, crypto in another, wallets everywhere? Gloria Finance brings your whole portfolio into one view. See it all together → Ethics rules take center stage The most politically charged addition draws from the Tillis-Gallego proposal and targets something Democrats have hammered on for months: the appearance of conflicts of interest at the highest levels of government. Advertisement Under the new framework, senior officials, including presidents-elect, would be barred from retaining significant equity interests valued at $15,000 or more in businesses that issue tokens. The only exceptions involve full divestment or parking assets in a blind trust. Stablecoin yield gets a circuit breaker The stablecoin provisions might matter even more to the industry’s day-to-day operations. The CLARITY Act introduces what Bernstein describes as a Treasury “circuit-breaker” mechanism designed to manage stablecoin yield practices that could trigger deposit outflows from community banks. The news moving money, markets, and the world—before your day starts. Daily. Free. Join 34,000+ readers across crypto, finance, and policy. Email address Subscribe free We respect your privacy. Unsubscribe anytime. The bill draws a specific line in the sand. Passive yields equivalent to traditional bank deposits are off the table. Stablecoin issuers would only be permitted to offer activity-based rewards, meaning users would need to actually do something, like provide liquidity or participate in a protocol, rather than simply parking their dollars and collecting interest. What the prediction markets say Prediction markets appear to be recalibrating their expectations for the bill’s chances. Support odds climbed above 30% following the release of the final draft, which, while not exactly overwhelming confidence, represents a notable increase from where sentiment sat before the concessions were announced. The 15-9 committee vote from May is worth revisiting here. That margin suggests at least some Democrats on the Banking Committee were already on board before the 126 additional changes were integrated. The question now is whether those changes are sufficient to bring the broader Democratic caucus along, or at least enough members to clear the 60-vote threshold needed for cloture.