Not financial or tax advice. PANews content is strictly educational and informational and is not investment advice, financial advice, tax advice, legal advice, or a solicitation to buy or sell any digital asset, security, or financial product. Do your own research and consult qualified advisers.
Disclosure. PANews may publish sponsored content, partner content, advertisements, affiliate links, event promotions, and market commentary involving Web3 projects, service providers, or financial products. PANews personnel, contributors, or affiliates may hold digital assets or other interests related to covered topics. See our Terms of Service.
According to data from Farside Investors, U.S. spot Bitcoin ETFs posted a combined net outflow of $228.4 million this week. Specifically, IBIT saw a net outflow of $165.4 million, FBTC recorded a net outflow of $60.2 million, BTC had a net outflow of $7.6 million, and BTCO posted a net outflow of $4.1 million. Meanwhile, MSBT and BITB notched net inflows of $6.7 million and $2.2 million respectively.
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A trader went long on $11.36 million worth of ZEC and $4.82 million worth of ETH.
According to on-chain analyst Ai Yi (@ai_9684xtpa)’s monitoring, ZEC has corrected by over 24% in the past month. Trader solanadoomer (@Boomer) still holds ZEC long positions worth approximately $11.36 million, ranking 4th on ZEC’s long position leaderboard. His ZEC long positions use 10x leverage, holding 10,000 ZEC with an average entry price of $1,146.86, and currently have an unrealized loss of around $85,000. Additionally, the trader holds 25x leveraged long positions of 2,000 ETH, with a position value of roughly $4.82 million, average entry price of $2,376.18, and an unrealized profit of about $68,000.
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Analyst at Tom Lee's fund: Now is a good time to buy tech stocks on dips, but diversification is needed.
Mark Newton, an analyst at Tom Lee’s fund, told CNBC that now is a good time to buy tech stocks on dips, but investors need to stay diversified and prepare for sector rotation. Over the past month, cross-asset volatility has risen sharply; the S&P 500 has pulled back roughly 6% recently, and the tech sector has seen a notable correction in the past week. Still, compared to its September rally, he notes tech stocks have suffered relatively limited losses. This year, the market has consistently exhibited sector rotation: the energy sector first rallied nearly 40%, gains then spread to tech, and the trend has now shifted to the healthcare sector, which is hitting record highs. Investors should prepare for sector shifts and maintain diversified portfolios. Steve Sosnick, chief strategist at Interactive Brokers, warned that even if investors do not actively allocate to AI, they may hold significant tech exposure via S&P 500 index funds. The market remains dominated by sector rotation for now, but he is concerned about continued declines in tech stocks and investors starting to question the returns on AI investments.
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Elon Musk: Optimus and Cybercab will make up the vast majority of Tesla's value in the future.
Elon Musk posted on X that Optimus (Tesla’s humanoid robot) and Cybercab (self-driving taxi) will constitute the vast majority of Tesla’s future value. He noted that the only sectors capable of large-scale economic expansion are superintelligence, robotics, solar energy, and space transportation, adding that once superintelligence and robotics are achieved, progress in other areas will follow. When discussing the Roadster, Musk stated: "But the Roadster is very cool, so we will still produce it."
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Reason Enables Claude Code and Codex to Assign Tasks Across Computers: They Can Communicate With Each Other, But Still Cannot Automatically Prevent Code Conflicts
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Anthropic has turned to lawyers to explore how AI agents can negotiate and close deals on behalf of users.
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Papertrade trading activity has cooled: daily revenue is down 83% month-on-month, trading volume down 43%.
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Mike McGlone, strategist at Bloomberg Intelligence, believes bitcoin could fall back to 10,000 dollars if American stocks fell 20%. Ki Young Ju, founder of CryptoQuant, rejects this projection and rather sets a theoretical floor around 30,000 dollars, due to institutional purchases and on-chain valuation.
In brief Mike McGlone envisions a Bitcoin drop to 10,000 dollars if American stocks lose 20% of their value. CryptoQuant considers this scenario unlikely and estimates that Bitcoin could find a floor around 30,000 dollars. Institutional purchases and on-chain data support the thesis of a market more resilient than in previous cycles. The two analysts rely on different indicators, but their forecasts remain uncertain in the face of macroeconomic risks. A drop to 10,000 dollars depends on a stock market crash Mike McGlone does not present 10,000 dollars as a certain trajectory. His scenario relies on a deep correction of American stocks, which would lead bitcoin into a new wave of sales due to its high sensitivity to risky markets.
Several data points allow assessing the magnitude of this hypothesis :
Bitcoin is trading around 81,000 dollars ; A drop to 10,000 dollars would represent a decrease close to 88% ; McGlone conditions this level on a 20% decline of American stocks ; The Nasdaq 100 is about 6.5% below its peak of October 6 ; The yield on five-year American bonds approaches 5%. The strategist also observes a bearish orientation of bitcoin’s 50-week moving average. He compares this configuration to that of 2022 and 2023, when the market was going through a prolonged correction phase.
Mike McGlone states :
I think bitcoin is heading towards a support around 10,000 dollars, especially if American stocks correct by 20%.
He believes that bond yields near 5% represent significant competition for bitcoin and gold, two assets that distribute no income.
The hypothesis is not new. McGlone has been mentioning a return of BTC to 10,000 dollars for several years.
Earlier in 2026, he also indicated that staying above 75,000 dollars would weaken his scenario. The price remains for now above this threshold despite several corrections.
CryptoQuant rather defends a floor at 30,000 dollars Ki Young Ju believes the current market structure makes a drop to 10,000 dollars extremely unlikely. His analysis relies on investors’ acquisition cost, flows to ETFs, and bitcoins held by companies.
Bitcoin ETFs would have received about 58 billion dollars since their launch. Companies with BTC treasury would hold nearly 1.3 million bitcoins. These purchases have created new cost zones that did not exist during previous cycles.
Even in a scenario where these investors would sell their positions, Ki Young Ju places the on-chain floor around 30,000 dollars. A return to this level would already represent a correction of about 63% from the current price.
The leader notably relies on the MVRV ratio, which compares bitcoin’s market capitalization to its realized capitalization. The latter values each coin at the price of its last transaction on the blockchain and serves as an approximation of the market’s acquisition cost.
At 10,000 dollars, the MVRV would drop near 0.2, according to Ki Young Ju. However, its lowest level during previous bear markets was around 0.6. McGlone’s scenario would therefore imply an undervaluation three times deeper than the historical lows measured by this indicator.
However, the MVRV does not constitute a guaranteed floor. Forced sales, a liquidity crisis, or a major regulatory shock could produce an unprecedented situation. The 30,000 dollar level also remains an estimate, not an automatic protection.
Two opposing models facing the same macroeconomic risk The disagreement mainly lies in the data favored by each analyst. McGlone starts from traditional markets, bond yields, and the correlation between bitcoin and stocks. Ki Young Ju focuses on capital flows, acquisition cost, and holders’ behavior.
CryptoQuant currently considers the market to be engaged in a first bullish phase. Its Bull Score Index rose from 20 at the end of July to 90 at the end of September, before staying around 80. Whales have started accumulating again, with 3.03 million BTC held outside platforms and mining pools.
“Whales have shifted from selling to accumulating, ETFs are buying again, and the largest borrowers obtain liquidity against their bitcoins instead of selling,” explains Ki Young Ju. He considers this behavior characteristic of the beginning of a bullish cycle.
However, the market remains exposed to Federal Reserve decisions and a possible Wall Street correction. A 20% drop in stocks has not yet occurred, meaning the main condition of McGlone’s scenario is not met.
The levels of 10,000 and 30,000 dollars should therefore not be read as precise targets. They represent the results of two models based on different assumptions, neither of which can predict with certainty the next floor of the bitcoin price.
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Luc Jose A.
Diplômé de Sciences Po Toulouse et titulaire d'une certification consultant blockchain délivrée par Alyra, j'ai rejoint l'aventure Cointribune en 2019. Convaincu du potentiel de la blockchain pour transformer de nombreux secteurs de l'économie, j'ai pris l'engagement de sensibiliser et d'informer le grand public sur cet écosystème en constante évolution. Mon objectif est de permettre à chacun de mieux comprendre la blockchain et de saisir les opportunités qu'elle offre. Je m'efforce chaque jour de fournir une analyse objective de l'actualité, de décrypter les tendances du marché, de relayer les dernières innovations technologiques et de mettre en perspective les enjeux économiques et sociétaux de cette révolution en marche.
DISCLAIMER
The views, thoughts, and opinions expressed in this article belong solely to the author, and should not be taken as investment advice. Do your own research before taking any investment decisions.
Thieves are draining nearly $5 million in Bitcoin (BTC) from a crypto scammer who profited from deceiving victims through a task scam.
Chainalysis says one of the biggest victims in the Ledger thefts was the scammer themselves.
“One of the biggest victims of the Ledger theft was a scammer themselves. They lost more than 60BTC, about $4.8M. The funds were from a task scam.”
The firm details how the scam operated by paying people to fake sales and reviews of real items before creating a negative balance that tricked victims into adding their own money.
“In this task scam, people were paid to fake sales and reviews of real items. Then a ‘negative balance’ appeared, and they were told to add their own money in order to get paid.”
On September 22nd, the scammer moved the proceeds into three separate Ledger addresses that thieves emptied on October 9th with one transfer each into the same wallet reported as containing stolen funds.
Criminals stole approximately $90 million in digital assets from cryptocurrency wallets last week by tampering with hardware wallets, small USB-like devices designed to securely store the keys used to access crypto holdings, reports the Financial Times.
Ledger said Thursday that organized criminals spent several months buying genuine Ledger devices, opening them and installing concealed components designed to capture users’ recovery phrases during setup. The tampered devices were then returned to circulation through resellers in Southeast Asia.
The attackers also built their own technical and logistical infrastructure, including servers to collect recovery phrases and systems to drain and launder stolen funds.
“They were patient, they spent millions and they struck in one coordinated operation, draining wallets.”
All affected devices were sold by CryptoBilis, a Malaysia-based reseller.
Bitcoin Cash and Uniswap join CME’s futures lineup on Monday, October 19, becoming the exchange’s tenth and eleventh single-coin crypto futures.
CME announced the contracts on September 22, pending regulatory review, and Bitcoin Cash rose more than 25% that day, according to Decrypt.
Bitcoin Cash split from Bitcoin in 2017 over block size, and its backers pitch it for cheaper payments. UNI is the governance token of Uniswap, the largest decentralized exchange. Holders use it to vote on changes to the protocol.
BCA
Bitcoin Cash
250 BCH
≈ $84,500
MCH
Micro Bitcoin Cash
25 BCH
≈ $8,450
UNI
Uniswap
10,000 UNI
≈ $92,800
MUN
Micro Uniswap
1,000 UNI
≈ $9,280
Dollar values at September 22 prices (BCH $338, UNI $9.28) and move with the market. Contract details: CME product page.
What one contract is actually worth
Each Micro covers a tenth of the larger contract, and even the smallest is a five-figure position. A 5% move in UNI changes the value of a Micro Uniswap contract by about $460. A $10 move in BCH changes a Micro Bitcoin Cash contract by $250.
Nobody receives coins. According to CME’s clearing advisory, the contracts settle in cash against a reference price at expiry, so traders need a futures account rather than a crypto wallet. Each contract also has a fixed expiry date. Anyone holding a position for longer has to close it and reopen it in a later month, paying trading costs each time.
Who these are built for
CME says the launch answers client demand for regulated ways to manage altcoin price risk. The firms quoted in its announcement show who that means: Volatility Shares, an ETF issuer, and Ripple Prime, Ripple’s prime brokerage business, which finances institutional trading.
For Bitcoin Cash, the obvious users are miners and businesses paid in BCH that want to lock in a price for coins they already hold. For Uniswap, it’s funds and project treasuries that hold UNI and want protection against a fall without selling the tokens they vote with.
For individuals, the maths is harder. A Micro contract worth around $9,000 can swing by several hundred dollars on an ordinary day, and that money moves in or out of the account the same day. Offshore exchanges have offered BCH and UNI derivatives in much smaller sizes for years. What CME adds is a US-regulated venue, not a cheaper way in.
A Bitcoin Cash miner hedges 275 coins
Holds 275 BCH (≈ $93,000 at $338). Sells one BCA and one MCH contract, a 275-coin short.
If BCH falls 10% to $304.20
Coins ……….. −$9,295
Futures ……… +$9,295
Net …………. ≈ $0
If BCH rises 10% to $371.80
Coins ……….. +$9,295 (on paper)
Futures ……… −$9,295 (paid in cash as prices move)
Net …………. ≈ $0, but cash has left the account
Before fees, assuming futures and spot prices move together. In practice they drift apart a little.
The second scenario is the one that catches people out. CME’s margin rules settle gains and losses on futures as prices move, so the miner pays out on the hedge before it has sold a single coin. The initial margin is a deposit, not a limit on what it can lose.
Will futures push BCH and UNI higher?
BCH’s jump came on the announcement, before a single contract traded. Nothing about the futures requires anyone to buy coins. A trader betting on a rise can buy BCH futures without touching BCH, and a holder hedging with futures keeps the coins they already have.
Futures pull in spot buying mainly in one case. When futures trade far enough above the coin’s price, trading desks buy the coin and sell the futures, collecting the gap as the two prices meet at expiry. That only pays if the premium covers borrowing, fees and custody. Market makers quoting the new contracts may also buy or sell coins to balance their books, but that can push the price either way.
Don’t expect a flood of volume
CME’s earlier altcoin launches give a realistic yardstick. Futures on Cardano, Chainlink and Stellar, launched in February, and on Avalanche and Sui, launched in May, have produced just over $1 billion in combined notional value so far this year, according to CME. Its crypto futures and options as a whole averaged $8.3 billion a day in the first half of the year. Five altcoin markets, in other words, have traded less in ten months than the complex does in a typical three hours.
Contract counts will mislead too. Ten Micro UNI contracts equal one large one, so a headline figure for contracts traded says little without the dollar value behind it.
How to tell if these futures catch on
Open interest
Weak: drops back after launch week
Strong: keeps building for a month
Quotes
Weak: wide gap between buy and sell prices
Strong: tight prices with real size behind them
Dollar volume
Weak: behind the Cardano-to-Sui pace
Strong: level with it or ahead
Expiry months
Weak: everything in the nearest month
Strong: positions in later months too
Jargon decoder
Basis: the gap between the futures price and the coin’s price.
Open interest: contracts still open at the end of the day. Each has a buyer and a seller, so a rise on its own isn’t a bullish signal.
Margin: collateral held by the broker, topped up or paid out as prices move.
Cash settlement: at expiry, profits and losses are paid in dollars. No coins change hands.
Getting access: you need a futures broker that lists the new contracts and has cleared you to trade them. No crypto wallet is required, as CME’s crypto futures FAQ explains. Trading switches on Sunday evening, October 18, for the Monday trade date, according to CME’s operational notice, and runs on the exchange’s round-the-clock crypto schedule with short maintenance breaks.
This article is provided for informational purposes only and does not constitute financial or investment advice. Futures use leverage, and losses can exceed the initial margin.
Author
Kosta has reported on cryptocurrency markets and blockchain infrastructure since 2020, bringing over six years of hands-on experience in the crypto industry built through daily tracking of markets, trends, and emerging blockchain developments. Specializing in Bitcoin on-chain analysis, institutional ETF flows, and digital asset price action, his work at Coindoo has been cited by other news agencies and consistently covers market developments with a focus on data-driven reporting across Bitcoin, Ethereum, Solana, and XRP.
Over the years, Kosta has contributed to multiple crypto media outlets in different regions, authoring over 6,000 articles across the sector. His reporting spans cryptocurrency markets and the broader fintech industry, tracking not only price action but also the technological and regulatory forces shaping the ecosystem.
To support his analysis, Kosta actively leverages on-chain data and metrics from leading platforms such as Santiment, Glassnode, and CryptoQuant, enabling deeper, evidence-based market insights. He believes in the power of transparency and the data that underpins the blockchain ecosystem.
His academic background in Marketing Management from Denmark further complements his analytical approach, adding a strong understanding of communication strategy and content positioning to his work.
Not financial or tax advice. PANews content is strictly educational and informational and is not investment advice, financial advice, tax advice, legal advice, or a solicitation to buy or sell any digital asset, security, or financial product. Do your own research and consult qualified advisers.
Disclosure. PANews may publish sponsored content, partner content, advertisements, affiliate links, event promotions, and market commentary involving Web3 projects, service providers, or financial products. PANews personnel, contributors, or affiliates may hold digital assets or other interests related to covered topics. See our Terms of Service.
J. Ayo Akinyele, the head of engineering at Ripple, has responded to a significant cryptographic discovery made by Anthropic's Claude AI that reportedly resolved a 25-year-old enigma about the origins of popular cryptographic standards.
Akinyele commented that the findings were quite remarkable, noting that the solution was actually quite straightforward.
"AI shedding light on the origins of the NIST EC seeds is a pretty remarkable result," Ayo Akinyele said on X, citing the revelation that the origin of the parameters involved the use of the lrand48 random number generator seeded with the Unix timestamp.
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The recent breakthrough relates to the origins of the widely debated elliptic curve parameters standardized by the National Institute of Standards and Technology (NIST), which have long been subject to speculation regarding potential backdoors inserted by the US National Security Agency (NSA).
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He said the breakthrough offers reproducible evidence and greater confidence about the origins of such cryptographic standards.
Akinyele went on to speculate about other mysteries in cryptography that could potentially be solved with the help of artificial intelligence.
AI solves 25-year-old crypto mysteryIn an October 16 research report, Anthropic announced that their internal version of Claude discovered the origins of five popular NIST elliptic curve seeds within half an hour.
They include P-192, P-224, P-256, P-384, and P-521, which are part of the standards for the Elliptic Curve Digital Signature Algorithm (ECDSA).
The origins of the original seed values had been a subject of curiosity among researchers for decades, in part due to the fact that the seeds were provided by the NSA with little detail about their provenance.
This lack of disclosure led to some concerns that there may have been special considerations made regarding the parameters, possibly to introduce cryptographic weaknesses.
However, Claude found that lrand48, which is a fairly simple pseudorandom number generator included in older C programming libraries, was used to generate the seeds.
What does it mean for crypto security?It is worth pointing out that this is not a successful attack on ECDSA. Nor does it mean there are any security concerns for cryptocurrencies that use elliptic curve cryptography.
Rather, it makes the theory of intentional weakening of these specific NIST curves far less likely to be true.
The research does not mean that all aspects of the original selection are fully understood, but Anthropic pointed out that some unknowns remain around the selection of certain base points and the reasons for skipping certain mathematically viable candidate curves.
The breakthrough shows that artificial intelligence may be a tool that researchers can use to challenge long-held beliefs about widely used cryptographic systems.
J. Ayo Akinyele, head of engineering at Ripple, has acknowledged a major cryptographic breakthrough achieved by Anthropic’s Claude, an advanced artificial intelligence system developed by the AI research company Anthropic. The discovery addresses a decades-old mystery about the origins of popular cryptographic parameter standards.
AI identifies origins of NIST elliptic curve seedsAnthropic revealed that an internal research version of Claude managed to uncover the origins of five widely used NIST elliptic curve seeds, including P-192, P-224, P-256, P-384, and P-521. These values are central to the Elliptic Curve Digital Signature Algorithm (ECDSA), a cryptographic standard employed in numerous applications, including securing cryptocurrencies.
For over 25 years, cryptography researchers questioned whether these seeds, provided by the US National Security Agency (NSA), might conceal hidden vulnerabilities. The lack of detailed documentation around the process intensified speculation and concerns over possible backdoors.
Claude AI found that the NIST elliptic curve seeds were generated via lrand48, a basic pseudorandom number generator present in older C programming libraries, using the Unix timestamp as a seed value. This finding provides a replicable explanation for the parameters and helps put to rest some longstanding uncertainty in the cryptographic community.
Mini dictionary: lrand48 – A pseudorandom number generator included in some early C language standard libraries. It produces a sequence of numbers based on a seed, commonly the system’s unix time, but is regarded as relatively basic by modern cryptographic standards.
AI research company Anthropic reported that Claude identified lrand48, seeded with a Unix timestamp, as the method used to generate five NIST elliptic curve seeds, providing reproducible evidence and greater confidence in the origins of these cryptographic standards.
Security impact and expert perspectivesAkinyele described the discovery as “remarkable,” noting that the actual explanation for the seeds’ generation is comparatively simple and suggesting it improves trust in the parameter selection. He also reflected on how artificial intelligence might shed light on other cryptography puzzles in the future.
He highlighted that the research results do not represent a vulnerability or an attack against the ECDSA standard, which underpins the security of many cryptocurrency systems. Instead, the findings make any theory that the NIST curves were intentionally weakened appear far less likely.
The discovery neither exposes ECDSA to attack nor introduces security risks for cryptocurrencies using elliptic curve cryptography, but it does enhance transparency and eases concerns over potential hidden flaws in these standards.
Anthropic pointed out that some uncertainties persist, particularly regarding why specific base points were selected and why some mathematically valid candidate curves were omitted from the final standards. While these aspects require further study, the central issue of the seed generation process has been clarified.
AI reshapes cryptographic researchThe achievement demonstrates artificial intelligence’s growing role as a research tool in cryptography and cybersecurity. Experts believe such technology could accelerate discoveries, challenge old assumptions, and contribute to the transparency and trustworthiness of security systems employed worldwide, including in the digital asset sector.
The development is considered a step forward for those seeking to validate and improve the security foundations underlying the global crypto and blockchain ecosystem.
Crypto investor Susan Anderson made a decisive move on October 15, liquidating her entire Bitcoin holdings and reallocating all funds into XRP. Anderson, known for her active presence in the cryptocurrency community, acknowledged that her decision was immediately met with skepticism.
Community reactions to Anderson’s all-in XRP betAnderson shared her rationale with her followers, stating that she viewed Bitcoin as having already completed its major growth phase. She argued that XRP had not yet started an upward trend and entered the market at a price of $1.34, expressing optimism for future gains.
In a candid social media post, Anderson questioned whether she was making a visionary move or acting prematurely. She wrote, “I sold my Bitcoin today, yeah… all of it! Moved everything into $XRP… But I can’t shake the feeling BTC already had its run and XRP hasn’t even started yet. After all, who could say no to XRP at $1.34?”
I sold my Bitcoin today, yeah… all of it! Moved everything into XRP… But I can’t shake the feeling BTC already had its run and XRP hasn’t even started yet. After all, who could say no to XRP at $1.34?
Reactions from the crypto community were swift and varied. One respondent pointed out that Anderson had exposed herself to additional tax implications by making the switch. Another commented on her apparent willingness to embrace higher risk, suggesting that XRP carried greater volatility than Bitcoin.
Supporters also emerged. A long-time Bitcoin holder noted that he had made a similar move the previous year and expressed no regrets. Others predicted that those currently doubting her decision would come to view it as prescient in the future, with some suggesting she could be celebrated for her conviction years from now.
Another participant advised Anderson to remain patient, arguing that institutional investors are quietly accumulating XRP through non-public channels, which may eventually impact the asset’s price.
To demonstrate his conviction, one community member even revealed an XRP tattoo, while others offered encouragement and projected celebration by 2028.
XRP’s perceived advantages over BitcoinXRP is the native cryptocurrency of Ripple, a US-based payments technology company that specializes in cross-border remittances. The asset is valued for its rapid settlement times—transactions are finalized in seconds—and extremely low fees compared to Bitcoin. These attributes have positioned XRP as a potential solution for efficient, high-volume money transfers.
Unlike Bitcoin, which relies on energy-intensive proof-of-work mining, XRP operates on a consensus mechanism that validates transactions without requiring mining. This allows for much lower energy consumption and transaction costs.
Mini dictionary: Ripple – A fintech company focused on enabling real-time, cross-border payments for banks and financial institutions using blockchain technology and its digital asset, XRP.
Ripple has established partnerships with financial institutions and payment service providers across the globe. Supporters believe this strategy could propel XRP to handle significant volumes for international transactions, providing a value proposition distinct from that of Bitcoin.
AssetSettlement TimeTransaction FeePrimary Use CaseBitcoin (BTC)10–60 minutesHigherStore of value, peer-to-peer paymentsXRP3–5 secondsVery lowCross-border paymentsThose bullish on XRP contend that institutional adoption and its unique technical features position it for significant long-term growth, despite the uncertainty that surrounds the broader crypto market. Anderson’s move signals growing conviction among some investors that XRP’s trajectory could differ meaningfully from the largest digital assets.
A trader went long on $11.36 million worth of ZEC and $4.82 million worth of ETH.
According to on-chain analyst Ai Yi (@ai_9684xtpa)’s monitoring, ZEC has corrected by over 24% in the past month. Trader solanadoomer (@Boomer) still holds ZEC long positions worth approximately $11.36 million, ranking 4th on ZEC’s long position leaderboard. His ZEC long positions use 10x leverage, holding 10,000 ZEC with an average entry price of $1,146.86, and currently have an unrealized loss of around $85,000. Additionally, the trader holds 25x leveraged long positions of 2,000 ETH, with a position value of roughly $4.82 million, average entry price of $2,376.18, and an unrealized profit of about $68,000.
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Analyst at Tom Lee's fund: Now is a good time to buy tech stocks on dips, but diversification is needed.
Mark Newton, an analyst at Tom Lee’s fund, told CNBC that now is a good time to buy tech stocks on dips, but investors need to stay diversified and prepare for sector rotation. Over the past month, cross-asset volatility has risen sharply; the S&P 500 has pulled back roughly 6% recently, and the tech sector has seen a notable correction in the past week. Still, compared to its September rally, he notes tech stocks have suffered relatively limited losses. This year, the market has consistently exhibited sector rotation: the energy sector first rallied nearly 40%, gains then spread to tech, and the trend has now shifted to the healthcare sector, which is hitting record highs. Investors should prepare for sector shifts and maintain diversified portfolios. Steve Sosnick, chief strategist at Interactive Brokers, warned that even if investors do not actively allocate to AI, they may hold significant tech exposure via S&P 500 index funds. The market remains dominated by sector rotation for now, but he is concerned about continued declines in tech stocks and investors starting to question the returns on AI investments.
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Elon Musk: Optimus and Cybercab will make up the vast majority of Tesla's value in the future.
Elon Musk posted on X that Optimus (Tesla’s humanoid robot) and Cybercab (self-driving taxi) will constitute the vast majority of Tesla’s future value. He noted that the only sectors capable of large-scale economic expansion are superintelligence, robotics, solar energy, and space transportation, adding that once superintelligence and robotics are achieved, progress in other areas will follow. When discussing the Roadster, Musk stated: "But the Roadster is very cool, so we will still produce it."
32 minutes ago
Reason Enables Claude Code and Codex to Assign Tasks Across Computers: They Can Communicate With Each Other, But Still Cannot Automatically Prevent Code Conflicts
Beating AI Flash News: Y Combinator-backed AI coding startup Reason has launched Reason Network, enabling cross-device direct communication and task assignment between agents from different vendors including Claude Code, Codex, Cursor, and OpenCode. For example, users can have Grok Bot assign tasks to Claude Code on their own device, then Codex on a colleague’s machine to review code. Agents send and receive messages directly, eliminating the need for constant human intermediation. Its core is a real-time updated agent contact list, where developers can see which team agents are online, which repository they’re modifying, what branch they’re using, and their current status. Agents like Claude Code and Codex can receive messages directly in existing sessions, no need to start a new chat. Each device runs a lightweight background process, enabling direct communication within the same local area network (LAN). For cross-network communication, it prioritizes peer-to-peer (P2P) connections, falling back to encrypted relays if direct connections fail. However, the code conflict prevention Reason advertises is not yet fully implemented. GitHub design docs show the feature to automatically detect multiple agents modifying the same file simultaneously is still in development. At present, the platform relies on shared work status to let agents coordinate proactively, rather than automatically preventing code overwrites. Reason Network’s underlying communication engine is built with Rust, derived from the existing open-source project tincan, and licensed under MIT or Apache 2.0.
32 minutes ago
Bitcoin ETFs recorded a net outflow of $228.4 million this week, with IBIT posting the largest net outflow.
According to data from Farside Investors, U.S. spot Bitcoin ETFs posted a combined net outflow of $228.4 million this week. Specifically, IBIT saw a net outflow of $165.4 million, FBTC recorded a net outflow of $60.2 million, BTC had a net outflow of $7.6 million, and BTCO posted a net outflow of $4.1 million. Meanwhile, MSBT and BITB notched net inflows of $6.7 million and $2.2 million respectively.
32 minutes ago
Anthropic has turned to lawyers to explore how AI agents can negotiate and close deals on behalf of users.
Beating AI Express: According to a Financial Times report, Anthropic is consulting law firms to explore how AI agents can negotiate on behalf of users to secure better terms, covering scenarios including haggling over goods, resolving customer service disputes, and salary negotiations. The company is positioning agent development at the core of its future strategy. Two sources familiar with the matter said Anthropic aims to understand how lawyers balance representing clients’ interests with fair outcomes, and use that insight to develop negotiation norms for agents with conflicting goals. The firm is also weighing how much human feedback agents should solicit, and how to guard against other agents without becoming overly suspicious. One approach under exploration is requiring users to provide signed documents that outline agents’ authorized tasks and mandatory rules. Anthropic has run multiple agent negotiation experiments involving real goods and funds this year. In a September book deal trial, employees gave agents a preference-sorted book list, letting them negotiate and finalize deals with other parties’ agents. The results showed agents instructed to use a “ruthless” strategy held a slight advantage; more cooperative agents, by contrast, would accept lower-preference books to ensure every participant received a book. Separately, Michelle Vaccaro, an assistant professor at Harvard Business School, has conducted over 180,000 agent negotiation studies covering scenarios like employment contracts and lease negotiations. In one case, an agent attempted to trick its counterpart into leaking private information via prompt injection. She warned that if the most capable AI agents are primarily accessed by resource-rich entities, it could further widen the gap in negotiating power. Anthropic declined to comment on the report.
A trader went long on $11.36 million worth of ZEC and $4.82 million worth of ETH.
According to on-chain analyst Ai Yi (@ai_9684xtpa)’s monitoring, ZEC has corrected by over 24% in the past month. Trader solanadoomer (@Boomer) still holds ZEC long positions worth approximately $11.36 million, ranking 4th on ZEC’s long position leaderboard. His ZEC long positions use 10x leverage, holding 10,000 ZEC with an average entry price of $1,146.86, and currently have an unrealized loss of around $85,000. Additionally, the trader holds 25x leveraged long positions of 2,000 ETH, with a position value of roughly $4.82 million, average entry price of $2,376.18, and an unrealized profit of about $68,000.
32 minutes ago
Analyst at Tom Lee's fund: Now is a good time to buy tech stocks on dips, but diversification is needed.
Mark Newton, an analyst at Tom Lee’s fund, told CNBC that now is a good time to buy tech stocks on dips, but investors need to stay diversified and prepare for sector rotation. Over the past month, cross-asset volatility has risen sharply; the S&P 500 has pulled back roughly 6% recently, and the tech sector has seen a notable correction in the past week. Still, compared to its September rally, he notes tech stocks have suffered relatively limited losses. This year, the market has consistently exhibited sector rotation: the energy sector first rallied nearly 40%, gains then spread to tech, and the trend has now shifted to the healthcare sector, which is hitting record highs. Investors should prepare for sector shifts and maintain diversified portfolios. Steve Sosnick, chief strategist at Interactive Brokers, warned that even if investors do not actively allocate to AI, they may hold significant tech exposure via S&P 500 index funds. The market remains dominated by sector rotation for now, but he is concerned about continued declines in tech stocks and investors starting to question the returns on AI investments.
32 minutes ago
Elon Musk: Optimus and Cybercab will make up the vast majority of Tesla's value in the future.
Elon Musk posted on X that Optimus (Tesla’s humanoid robot) and Cybercab (self-driving taxi) will constitute the vast majority of Tesla’s future value. He noted that the only sectors capable of large-scale economic expansion are superintelligence, robotics, solar energy, and space transportation, adding that once superintelligence and robotics are achieved, progress in other areas will follow. When discussing the Roadster, Musk stated: "But the Roadster is very cool, so we will still produce it."
32 minutes ago
Reason Enables Claude Code and Codex to Assign Tasks Across Computers: They Can Communicate With Each Other, But Still Cannot Automatically Prevent Code Conflicts
Beating AI Flash News: Y Combinator-backed AI coding startup Reason has launched Reason Network, enabling cross-device direct communication and task assignment between agents from different vendors including Claude Code, Codex, Cursor, and OpenCode. For example, users can have Grok Bot assign tasks to Claude Code on their own device, then Codex on a colleague’s machine to review code. Agents send and receive messages directly, eliminating the need for constant human intermediation. Its core is a real-time updated agent contact list, where developers can see which team agents are online, which repository they’re modifying, what branch they’re using, and their current status. Agents like Claude Code and Codex can receive messages directly in existing sessions, no need to start a new chat. Each device runs a lightweight background process, enabling direct communication within the same local area network (LAN). For cross-network communication, it prioritizes peer-to-peer (P2P) connections, falling back to encrypted relays if direct connections fail. However, the code conflict prevention Reason advertises is not yet fully implemented. GitHub design docs show the feature to automatically detect multiple agents modifying the same file simultaneously is still in development. At present, the platform relies on shared work status to let agents coordinate proactively, rather than automatically preventing code overwrites. Reason Network’s underlying communication engine is built with Rust, derived from the existing open-source project tincan, and licensed under MIT or Apache 2.0.
32 minutes ago
Bitcoin ETFs recorded a net outflow of $228.4 million this week, with IBIT posting the largest net outflow.
According to data from Farside Investors, U.S. spot Bitcoin ETFs posted a combined net outflow of $228.4 million this week. Specifically, IBIT saw a net outflow of $165.4 million, FBTC recorded a net outflow of $60.2 million, BTC had a net outflow of $7.6 million, and BTCO posted a net outflow of $4.1 million. Meanwhile, MSBT and BITB notched net inflows of $6.7 million and $2.2 million respectively.
32 minutes ago
Anthropic has turned to lawyers to explore how AI agents can negotiate and close deals on behalf of users.
Beating AI Express: According to a Financial Times report, Anthropic is consulting law firms to explore how AI agents can negotiate on behalf of users to secure better terms, covering scenarios including haggling over goods, resolving customer service disputes, and salary negotiations. The company is positioning agent development at the core of its future strategy.
Two sources familiar with the matter said Anthropic aims to understand how lawyers balance representing clients’ interests with fair outcomes, and use that insight to develop negotiation norms for agents with conflicting goals. The firm is also weighing how much human feedback agents should solicit, and how to guard against other agents without becoming overly suspicious. One approach under exploration is requiring users to provide signed documents that outline agents’ authorized tasks and mandatory rules.
Anthropic has run multiple agent negotiation experiments involving real goods and funds this year. In a September book deal trial, employees gave agents a preference-sorted book list, letting them negotiate and finalize deals with other parties’ agents. The results showed agents instructed to use a “ruthless” strategy held a slight advantage; more cooperative agents, by contrast, would accept lower-preference books to ensure every participant received a book.
Separately, Michelle Vaccaro, an assistant professor at Harvard Business School, has conducted over 180,000 agent negotiation studies covering scenarios like employment contracts and lease negotiations. In one case, an agent attempted to trick its counterpart into leaking private information via prompt injection. She warned that if the most capable AI agents are primarily accessed by resource-rich entities, it could further widen the gap in negotiating power.
Anthropic declined to comment on the report.
DogeOS, built by the MyDoge team, says users have completed over 1 million quests in The Grand Heist, a campaign exploring the Dogecoin (DOGE) ecosystem.
@DogeOS, built by the founders of @MyDoge, has reported that users have completed more than 1 million quests on its platform. The figure points to rising engagement around $DOGE, though it raises the question of how much of it reflects lasting retail adoption.
What the quests areQuests on DogeOS are accessible through the MyDoge wallet. They are gamified missions and community tasks that form part of "The Grand Heist", a loyalty and engagement campaign designed to explore the Dogecoin ecosystem.
According to the DogeOS blog, users pick a crew, run missions and try apps, all inside the MyDoge app. Chapters run for roughly a week, with new missions added each week from the team and from partners building on DogeOS. Participants earn XP and badges and collect items used across DogeOS, the project said in its MyDoge V3 announcement.
The campaign opened to everyone on October 8, alongside the MyDoge V3 release, according to CoinGabbar. The same report said the team had flagged more than 100,000 completed quests on October 12, before the 1 million milestone.
The headline number needs context. Quests completed is not the same as unique users, since one person can finish many tasks, CoinGabbar noted. Earlier figures from an AMA, which were not independently verified, cited about 8,000 new users per day, per a KuCoin recap.
The technology behind DogeOSDogeOS is an application layer for Dogecoin. , according to Unchained.
The setup still has limits. , Crowdfund Insider reported. , according to Crypto Briefing.
On funding, , per Play to Earn.
There is also no token or reward confirmation tied to the quests. UseTheBitcoin reports that DogeOS has not announced a native token or confirmed an airdrop, and that the quest terms state completing quests does not guarantee rewards.
For now, the 1 million quest figure is a sign of activity on a testnet-stage product rather than proof of a mature retail ecosystem. Whether that engagement carries over once DogeOS reaches mainnet remains to be seen.
SourcesCoinGabbar: DogeOS passes 1 million quests
DogeOS Blog: The Grand Heist
Unchained: DogeOS opens public testnet
Disclaimer: The opinions expressed by our writers are their own and do not represent the views of U.Today. The financial and market information provided on U.Today is intended for informational purposes only. U.Today is not liable for any financial losses incurred while trading cryptocurrencies. Conduct your own research by contacting financial experts before making any investment decisions. We believe that all content is accurate as of the date of publication, but certain offers mentioned may no longer be available.
The dog-themed cryptocurrency Dogecoin (DOGE) saw its trading volume crater by almost 50% in quiet weekend trading even as the broader crypto market continued to face selling pressure.
Dogecoin trading volume fell 49% in the past 24 hours to $607 million, data from CoinMarketCap showed, suggesting less market activity around the popular dog coin as traders evaluate conditions amid the ongoing market sell-off.
Lower trading volume might suggest a temporary slowdown in participation, particularly during weekends when activity across digital asset markets may ease.
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Dogecoin fell for the fourth day on Saturday as investors weighed hotter-than-expected inflation data and Federal Reserve Chairman Kevin Warsh's latest comments on interest rates.
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The inflation data comes two weeks ahead of the next interest rate decision, with Fed Chairman Warsh on Thursday declining to offer any signals as to whether there will be another interest rate hike this month.
Dogecoin priceDOGE is currently trading down to $0.079. As Dogecoin is back near $0.080, Ali, a crypto analyst, says the daily TD Sequential has also flashed a buy signal. If support holds and buyers return, the next levels to watch for Dogecoin are $0.087 and the setup resistance trendline near $0.094.
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Dogecoin began to decline broadly from a high of $0.097 on October 4, 2026, with the drop causing it to fall below its 50 and 200 daily moving averages. As selling progressed, the daily RSI approached the oversold area and is now at 34.
If the Dogecoin price rebounds, the $0.081 level remains one to watch, with so many tokens changing hands at this price. The URPD data shows about 36 billion DOGE were previously traded around $0.081.
Whales appear to be buying near $0.081, as since October 12, large holders have reportedly added about 600 million DOGE.
Support is expected in the $0.07 range if the price declines further.
Dogecoin, the popular dog-themed cryptocurrency, saw its trading volume plunge by nearly 50%, reaching $607 million over the past 24 hours, according to data from CoinMarketCap. The significant drop comes as broader cryptocurrency markets remain under selling pressure and weekend trading slows across digital assets.
Trading activity cools amid broader sell-offDogecoin’s trading activity has slowed notably, with volume down 49% compared to the previous day. Market analysts have observed that digital asset trading frequently softens on weekends when institutional and retail participation often declines.
The fall in Dogecoin’s activity unfolded as the token registered its fourth consecutive daily decline on Saturday. Market participants continued to react to inflation data that exceeded expectations and recent comments from US Federal Reserve Chairman Kevin Warsh about future interest rate directions.
Two weeks remain until the Federal Reserve announces its next interest rate policy decision. So far, Warsh has not provided any clear signals regarding whether the central bank intends to raise rates in the coming announcement.
DOGE price nears key support levelsDogecoin is currently trading at $0.079, hovering just below the $0.080 mark. Noted crypto analyst Ali stated that the daily TD Sequential indicator has flashed a buy signal for the first time during this recent price correction. Ali suggested that if current support holds and buying momentum returns, resistance could be found at $0.087 and at the setup resistance trendline near $0.094.
Ali emphasized that with a buy signal on the daily TD Sequential, Dogecoin could see a rebound if support persists and buyers step back in, watching for resistance at $0.087 and $0.094.
Dogecoin entered this downward trajectory after touching a high of $0.097 on October 4, 2026. The price decline drove DOGE below its 50-day and 200-day moving averages. Technical readings indicate the daily relative strength index (RSI) has now dropped to 34, hovering near oversold levels.
If Dogecoin’s price stages a reversal, the $0.081 zone is considered pivotal due to significant historical trading activity at this level. According to UTXO Realized Price Distribution (URPD) data, around 36 billion DOGE previously changed hands near $0.081, reinforcing its importance as a support line.
Whale activity has also increased near $0.081, as large holders have reportedly accumulated approximately 600 million DOGE since October 12, indicating renewed interest at current levels.
If selling pressure persists, analysts anticipate strong support in the $0.07 region below the current price. This could serve as the next critical area to watch if Dogecoin continues to slide.
Mini dictionary: TD Sequential, a technical analysis indicator designed by Tom DeMark, identifies potential turning points in price trends by counting a series of price bars, aiming to spot exhaustion and possible reversal areas for traders.
Charles Hoskinson, the founder of Cardano, has revealed that he is currently working on creating a new programming language for the blockchain, promising to add advanced cryptography features to it.
The new language will be able to handle intents and proof-carrying data (PCD) with the help of Groth16 proofs.
"I'm actually personally developing a programming language for Cardano. It's the first of its kind enabling intents + PCD via Groth16 proofs," Hoskinson wrote.
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He made this announcement after a community member inquired about the unique benefits of Cardano as a highly decentralized base for blockchain use cases.
The creator of Cardano did not share any details of the language's name, specs, or release timeframe.
Earlier this week, he also hinted at an ambitious use case for Midnight, a partner blockchain for Cardano focused on privacy.
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"I'm working on a concept that only Midnight can bring to the cryptocurrency space to solve most of the problems. It's gonna be the magnum opus for my career," he said.
It's unclear if the two announcements are related.
Merits of programming languages Hoskinson has shared his views on programming languages many times. He is a fan of Haskell, which was originally used as the basis of the development architecture of Cardano.
In June 2022, he jumped into a discussion between Elon Musk and Jack Dorsey on programming languages' merits.
After Musk shared his fondness for the C programming language instead of the modern C++, Hoskinson responded by suggesting they should try Haskell.
However, later on, Hoskinson admitted that the choice to develop Cardano with Haskell was not something he was sure about.
In May 2024, the founder revealed that he nearly picked Clojure at one point. He said Haskell was chosen eventually due to the presence of Cloud Haskell. Plus, he could use other technologies like Liquid Haskell, Agda, etc.
In an interview in April 2025, he said he would probably pick another language for programming if he could rewrite Cardano from scratch.
Currently, Cardano supports a few smart contract programming languages like Plutus (based on Haskell) and Aiken. Another privacy-focused language on Midnight is called Compact.
AIsa said it had completed its seed extension round, with Tether and HIVEN joining as strategic investors.
The round brings AIsa’s total funding to more than $9 million. The two new investors joined Alibaba, Tribe Capital, Sumitomo Corporation, Draper Associates, Saison Capital and other backers.
“Enterprise AI agents need trusted information, useful tools and a governed way to transact,” said Jordan Liu, founder and CEO of San Francisco-based AIsa, in a Friday statement. “Our vision is to build the infrastructure that enables agents to discover, access and pay for resources globally, while giving enterprises full control over permissions, spending and transactions. We are excited to welcome Tether and HIVEN as strategic investors as we accelerate the transition from AI assistants to autonomous, production-ready agents.”
Fragmented providers, integrations and billing systems make it difficult for enterprise AI agents to operate effectively in production and manage at scale, according to the statement.
AIsa addresses this by bringing resource discovery, access and transactions into one governed, usage-based network, the Trusted Resource and Transaction Network for Enterprise AI Agents. Its infrastructure connects enterprise agents to external data, AI search, models, APIs, software tools and industry services, combining governed access with usage metering, billing and settlement, the
statement said.
Cointelegraph reported on July 31 that stablecoin issuer Tether generated another multibillion-dollar quarter as income from its US Treasury portfolio continued to bolster earnings.
Tether reported a net operating profit of $1.5 billion for the second quarter, driven primarily by interest earned on US Treasury holdings and repurchase agreements, or short-term loans backed by government securities.
Magazine: Capital starting to rotate back to crypto from AI: Raoul Pal
Cointelegraph is committed to independent, transparent journalism. This news article is produced in accordance with Cointelegraph’s Editorial Policy and aims to provide accurate and timely information. Readers are encouraged to verify information independently.
AIsa said it had completed its seed extension round, with Tether and HIVEN joining as strategic investors.
The round brings AIsa’s total funding to more than $9 million. The two new investors joined Alibaba, Tribe Capital, Sumitomo Corporation, Draper Associates, Saison Capital and other backers.
“Enterprise AI agents need trusted information, useful tools and a governed way to transact,” said Jordan Liu, founder and CEO of San Francisco-based AIsa, in a Friday statement. “Our vision is to build the infrastructure that enables agents to discover, access and pay for resources globally, while giving enterprises full control over permissions, spending and transactions. We are excited to welcome Tether and HIVEN as strategic investors as we accelerate the transition from AI assistants to autonomous, production-ready agents.”
Fragmented providers, integrations and billing systems make it difficult for enterprise AI agents to operate effectively in production and manage at scale, according to the statement.
AIsa addresses this by bringing resource discovery, access and transactions into one governed, usage-based network, the Trusted Resource and Transaction Network for Enterprise AI Agents. Its infrastructure connects enterprise agents to external data, AI search, models, APIs, software tools and industry services, combining governed access with usage metering, billing and settlement, the
statement said.
Cointelegraph reported on July 31 that stablecoin issuer Tether generated another multibillion-dollar quarter as income from its US Treasury portfolio continued to bolster earnings.
Tether reported a net operating profit of $1.5 billion for the second quarter, driven primarily by interest earned on US Treasury holdings and repurchase agreements, or short-term loans backed by government securities.
Magazine: Capital starting to rotate back to crypto from AI: Raoul Pal
Cointelegraph is committed to independent, transparent journalism. This news article is produced in accordance with Cointelegraph’s Editorial Policy and aims to provide accurate and timely information. Readers are encouraged to verify information independently.
AIsa, an enterprise AI infrastructure provider based in San Francisco, announced the completion of its seed extension round, with new strategic investments from Tether and HIVEN. This latest funding has brought AIsa’s total financing to over $9 million, reflecting growing interest from major players in the technology and digital asset sectors.
New strategic investors expand AIsa’s backer listTether, the stablecoin issuer widely known for its USDT product, and HIVEN, a technology investment firm, joined the seed extension as key backers. Their investment adds to an existing list that includes Alibaba, Tribe Capital, Sumitomo Corporation, Draper Associates, Saison Capital, and several others. These companies represent significant global influence in finance, technology, and venture capital.
AIsa aims to solve enterprise-level challenges by creating infrastructure that enables AI agents to find, access, and pay for global resources efficiently and securely. The company’s approach provides enterprises with tools for managing permissions, spending, and transactions within a single platform.
Addressing enterprise AI agent needsJordan Liu, AIsa’s founder and CEO, commented that enterprise AI agents require reliable information, versatile tools, and governed transaction mechanisms to operate effectively. Liu highlighted the current industry challenge involving fragmented providers, integrations, and billing systems, which often complicate scaling and operational management for enterprise AI solutions.
“Enterprise AI agents need trusted information, useful tools and a governed way to transact. Our vision is to build the infrastructure that enables agents to discover, access and pay for resources globally, while giving enterprises full control over permissions, spending and transactions. We are excited to welcome Tether and HIVEN as strategic investors as we accelerate the transition from AI assistants to autonomous, production-ready agents.”
AIsa is developing the Trusted Resource and Transaction Network for Enterprise AI Agents, which centralizes resource discovery, access, and transactions on a governed, usage-based structure. This network connects enterprise agents to a wide spectrum of tools, including external data sources, AI search, different models, APIs, software utilities, and industry services. Its unified infrastructure combines controlled access with transparent usage metering, billing, and settlement.
Mini dictionary: Trusted Resource and Transaction Network for Enterprise AI Agents — AIsa’s infrastructure platform designed to enable secure, governed access and payment for global resources by enterprise AI agents, integrating data sources, APIs, software tools, and services with usage-based metering and settlement features.
Tether’s profitability and expanding investmentsTether has recently been in the spotlight for its strong financial performance. In the second quarter, the company reported a net operating profit of $1.5 billion, fueled mainly by interest earnings on a substantial US Treasury portfolio and repurchase agreements involving government-backed securities.
This continued profitability has enabled Tether to support strategic investments such as its backing of AIsa, signaling the company’s intent to extend its influence across the broader digital and AI innovation space.
Circle said it kept about 7 cents of profit per revenue dollar in the first half of 2026, after $819 million of $1.4 billion went to distribution and transaction costs.Coinbase, Circle’s largest USDC partner, also backs Open USD, a rival network that passes reserve income to partners after a management fee.Circle argued reserve income must also fund redemption, compliance and liquidity, and says standard USDC redemptions remain free.Stablecoin issuer Circle CRCL$82.25·Market Closed is defending its business model as Coinbase, its largest distribution partner, backs a rival that aims to give businesses more income from stablecoin reserves.
In a blog post on Friday, Chief Commercial Officer Kash Razzaghi wrote that Circle kept about 7 cents in net profit for each dollar in revenue made during the first half of 2026. The firm brought in about $1.4 billion, while distribution and transaction costs totaled $819 million.
The post puts the figures at the center of a dispute over who gets the interest earned on assets backing stablecoins.
Circle said the remaining $473 million covered compliance, liquidity and product development. That figure also included about $214 million in stock-based compensation and related costs.
Coinbase is Circle’s largest USDC partner, but is also a backer of Open USD, along with Stripe and BlackRock. Open USD, unveiled in June, aims to let businesses mint and redeem stablecoins without fees, while passing off reserve income minus a management fee to participants.
Circle's post did not name Open USD, whose OUSD token is now live, directly, and there are other competitors like the Paxos-led Global Dollar Network (USDG) that also share reserve income with participants.
"The costs of redemption, compliance, and resilience don't disappear just because the issuer declined to pay them," Razzaghi wrote.
Circle has also been working to secure additional distribution partners. In September, Binance bought a $100 million stake in the firm under a five-year deal that includes a fee tied to USDC held through Circle's wallet service.
Circle said standard USDC redemptions remain free and "typically settle in up to two business days." Qualifying platform customers and payment flows through Circle Payments Network can now access near-real-time redemptions at no cost, it said.
Not financial or tax advice. PANews content is strictly educational and informational and is not investment advice, financial advice, tax advice, legal advice, or a solicitation to buy or sell any digital asset, security, or financial product. Do your own research and consult qualified advisers.
Disclosure. PANews may publish sponsored content, partner content, advertisements, affiliate links, event promotions, and market commentary involving Web3 projects, service providers, or financial products. PANews personnel, contributors, or affiliates may hold digital assets or other interests related to covered topics. See our Terms of Service.
According to Lookonchain's monitoring, crypto figure "Big Brother Ma Ji" (Huang Licheng) had all his long positions liquidated again four hours ago. The 250,000 USDC he deposited just two days ago has now been almost entirely wiped out. A year ago, he earned $44.84 million on Hyperliquid; he has since not only given back all those profits but also suffered an additional loss of $36.85 million.
Not financial or tax advice. PANews content is strictly educational and informational and is not investment advice, financial advice, tax advice, legal advice, or a solicitation to buy or sell any digital asset, security, or financial product. Do your own research and consult qualified advisers.
Disclosure. PANews may publish sponsored content, partner content, advertisements, affiliate links, event promotions, and market commentary involving Web3 projects, service providers, or financial products. PANews personnel, contributors, or affiliates may hold digital assets or other interests related to covered topics. See our Terms of Service.
A slight increase in interest rates on bank deposits could slow the growth of stablecoins. This is the finding of a study by the Bank for International Settlements (BIS), which highlights competition between bank savings and these cryptocurrencies pegged to traditional currencies. However, the effect varies depending on the players: Circle’s USDC appears more sensitive to this competition than Tether’s USDT.
In Brief A one basis point increase in deposit rates reduces stablecoin growth over ten weeks, from 15% to 12% in the main estimate, and down to 6% in an alternative estimate. USDC reacts more than USDT, especially due to its closer ties with American users. The study neither proves deposit outflows nor credit contraction. It also highlights the limits of an analysis conducted during a period of high rates. Higher Savings Rates to Slow Stablecoins The question of the links between banks and stablecoins continues to fuel debate. Tether already contested, at the end of August, the BIS’s reading on tokenized deposits. This time, the institution moves on to data analysis with a study by Rashad Ahmed and Iñaki Aldasoro.
The researchers studied American weekly data from January 2019 to June 2025. They notably took into account policy rates, bond yields, the dollar, and stock market volatility.
Their finding is clear: a one basis point increase, or 0.01 percentage point, reduces stablecoin growth over ten weeks from about 15% to 12%. Another estimate, which adjusts for banks’ reactions in setting their rates, brings this growth to about 6%.
Why? The rates offered by banks do not mechanically follow those of the central bank. They change little when rates remain low, then adjust more strongly beyond a certain threshold.
The researchers use this difference to measure the effect of rates on stablecoins. Their results hold up to several tests, including excluding the Silicon Valley Bank episode.
USDC and USDT, Different Sensitivity to Bank Rates The study also highlights a difference between the two main stablecoins. Circle’s USDC reacts more to changes in deposit rates than Tether’s USDT. The researchers attribute this gap mainly to Circle’s proximity to American users.
The results also do not seem to reflect a simple overall trend in the crypto market. An additional test does not show the same link between the instrument used by the researchers and the growth of other cryptocurrencies.
Furthermore, a Federal Reserve note explains that funds placed in stablecoins can return to the banking system in the form of deposits held by issuers. Deposits therefore do not necessarily disappear, but their distribution changes. Banks may nonetheless have to hold more liquid assets if they depend on more volatile funding.
The Study’s Limits and Open Questions However, caution is needed not to draw excessive conclusions. The study does not demonstrate either an actual decrease in deposits or a credit contraction. In addition, it covers only one episode of high rates. Yield-bearing stablecoins and tokenized money market funds could also change this competition by directly offering a return to their holders.
On the regulatory side the Federal Reserve proposed at the end of September a two-day deadline to reimburse stablecoin holders. In January, the head of Bank of America also mentioned the risk of several thousands of billions of dollars leaving bank deposits.
In essence, banks have a simple lever to remain competitive: better remuneration of savings. The competition with stablecoins therefore relies not only on technology but also on the yield offered to liquidity holders.
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Fenelon L.
Passionné par le Bitcoin, j'aime explorer les méandres de la blockchain et des cryptos et je partage mes découvertes avec la communauté. Mon rêve est de vivre dans un monde où la vie privée et la liberté financière sont garanties pour tous, et je crois fermement que Bitcoin est l'outil qui peut rendre cela possible.
DISCLAIMER
The views, thoughts, and opinions expressed in this article belong solely to the author, and should not be taken as investment advice. Do your own research before taking any investment decisions.
Solana’s (SOL) RWA market has seen significant growth over the past year, with the same catching up with Ethereum thanks to improved application revenues in its network. In fact, the network’s on-chain RWA market capitalization increased from around $700 million to $4.3 billion in just one year.
Here, it should be noted that there is still a sizeable difference, compared to Ethereum’s market which increased from $15.5 billion to $16.6 billion. Simply put, while Solana’s RWA market is just 26% the size of Ethereum’s, Solana saw much greater growth relative to Ethereum.
With increasing adoption and revenue outperforming other networks, can these factors help push SOL’s price higher?
Source: X
Q3 release reports reveals some gains
According to the released reports, Solana App revenue rose by about 48% QoQ to $299.1 million, the highest since Q3 2025. This revenue highlighted the scale of economic activity across Solana’s applications.
However, much of the total came from consumer applications and trading related activity. This can fluctuate with market speculation and user attention.
Source: Blockworks
At the same time, the network’s tokenized equities hit a record $7.1 billion for the quarter, with September hitting a $4.4 billion all-time high. That is not all as Solana’s network processed about $189 Billion in spot DEX volume. This represented a $7 billion surge of all cross-chain spots from the last quarter.
As per the release report, the network activity also improved in terms of size and speed. Solana processed a record 14.2B transactions, around 1,790 every second.
Source: Blockworks
Can SOL turn adoption into price gains?
On the price charts, SOL’s price action was yet to gain ground at press time. In fact, it had just dropped past the bearish pennant pattern. SOL’s price was still testing the last line of defence, a demand zone between $95 and $100. A break below the demand zone will result in further dips.
Until then, the long-term structure will remain bullish. Especially since the altcoin was trading just above both 100-day and 200-day Exponential Moving Averages.
Source: TradingView
As long as the support is defended by the buyers and demand remains strong, any improvement in the performance of the ecosystem can further solidify the case for a move towards resistance.
Even though there is strong growth in RWA and revenue from applications, that does not mean there will be instant gains. The altcoin needs buying pressure to break above the resistance level.
Final Summary
Solana’s RWA market cap climbed from $700 million to $4.3 billion in one year, narrowing the gap with Ethereum’s tokenized asset market.
Solana applications generated $299 million in reported quarterly revenue.
NFT project Bored Ape Yacht Club (BAYC) has officially launched Mudwater, a Solana-based series of physical and digital collectible trading cards. The project has also airdropped 6551 Totems paired with all BAYC and MAYC NFTs, which are used to claim card packs. Holders of each BAYC NFT can claim 10 packs, while each MAYC NFT entitles holders to 2 packs. Each pack includes 10 cards, each box holds 24 packs, with a total of 10,000 boxes in the series. The collection comprises 120 artworks, with rare variants including flash cards, numbered cards, and ice crack rare cards; 8 of these ice crack cards are 1/1 unique editions. Physical cards are printed by Orange Cap Games using its Orange Core paper. 2.5% of every transaction will be used to purchase APE tokens, distributed proportionally to collectors holding Mudwater series assets. Totems, card packs, and cards are now tradable on OpenSea, with plans to add support for upgrading card packs to full boxes and cases in the future.
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Analyst at Tom Lee's fund: Now is a good time to buy tech stocks on dips, but diversification is needed.
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Reason Enables Claude Code and Codex to Assign Tasks Across Computers: They Can Communicate With Each Other, But Still Cannot Automatically Prevent Code Conflicts
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Anthropic has turned to lawyers to explore how AI agents can negotiate and close deals on behalf of users.
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Two sources familiar with the matter said Anthropic aims to understand how lawyers balance representing clients’ interests with fair outcomes, and use that insight to develop negotiation norms for agents with conflicting goals. The firm is also weighing how much human feedback agents should solicit, and how to guard against other agents without becoming overly suspicious. One approach under exploration is requiring users to provide signed documents that outline agents’ authorized tasks and mandatory rules.
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Papertrade trading activity has cooled: daily revenue is down 83% month-on-month, trading volume down 43%.
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Not financial or tax advice. PANews content is strictly educational and informational and is not investment advice, financial advice, tax advice, legal advice, or a solicitation to buy or sell any digital asset, security, or financial product. Do your own research and consult qualified advisers.
Disclosure. PANews may publish sponsored content, partner content, advertisements, affiliate links, event promotions, and market commentary involving Web3 projects, service providers, or financial products. PANews personnel, contributors, or affiliates may hold digital assets or other interests related to covered topics. See our Terms of Service.
Although exchanges still hold a massive supply of Shiba Inu (SHIB) following the intense sell pressure the market faced recently, the latest exchange activity shows that this supply has begun to shrink.
While recent market data shows that investors are increasingly moving tokens in and out of exchanges, the latest exchange activity shows that selling pressure is fading.
Shiba Inu to recover soon?Latest onchain data from a crypto analytics platform shows that the Shiba Inu exchange reserves are sitting at about 87.06 trillion SHIB, following a decline of 0.1% over the past 24 hours.
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While this shows that there are still substantial amounts of SHIB available for sale on exchanges, the decline shows that traders are buying amid renewed interest in the leading meme token.
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While the data further projected a negative exchange netflow of 33.94 billion SHIB, following a decline of 1.25% over the last day, market analysts have predicted that the overall reserve could fall to 86 trillion SHIB in the near future.
It is important to note that negative netflow means that more tokens left exchanges than entered them during the specified period, providing a bullish outlook for SHIB despite the slow price movement.
SHIB price outlook While the Shiba Inu exchange activity is beginning to appear promising after several weeks of extreme volatility and intense selling pressure, traders should note that declining exchange inflows and negative netflows do not automatically signal an imminent price increase.
However, they provide insights into the market behavior of SHIB traders, signalling increasing demand which could eventually garner bullish momentum for the asset.
Shiba Inu (SHIB) exchange reserves have begun to decrease, signaling a shift in trader sentiment after a period of intense market volatility and widespread selling pressure. Recent on-chain data from a cryptocurrency analytics platform revealed that the total SHIB held on exchanges now stands at approximately 87.06 trillion tokens, marking a decline of 0.1% within the past 24 hours.
Declining exchange reservesThe gradual reduction in SHIB reserves on trading platforms indicates that holders are moving their tokens away from exchanges, a trend that often reflects waning selling activity. Despite the still significant volume of SHIB available for trading, the recent outflows point to a changing market landscape.
According to the analytics data, SHIB experienced a negative exchange netflow of 33.94 billion tokens during the previous day, representing a 1.25% drop. This shift aligns with analyst projections that overall reserves could fall further, potentially reaching 86 trillion SHIB in the coming days.
MetricRecent Value24h ChangeSHIB exchange reserves87.06 trillion-0.1%SHIB exchange netflow-33.94 billion-1.25%Market sentiment and implicationsNegative netflow occurs when more SHIB tokens are withdrawn from exchanges than deposited, typically suggesting a more bullish outlook. This pattern implies increasing demand for SHIB, as traders may prefer holding their assets in private wallets, often interpreted as a sign of accumulating rather than selling.
Despite these positive signals, analysts caution that declining reserves and reduced netflow alone do not guarantee a quick price rebound for SHIB. Market participants are viewing the current flows as an indicator of shifting trader behavior, rather than an absolute predictor of future price moves.
While SHIB activity on exchanges is beginning to look promising following several weeks of volatility, declining inflows and negative netflows do not automatically signal an imminent price surge. These patterns do, however, offer valuable insight into the market conduct of SHIB holders, suggesting increasing interest that could eventually gather bullish momentum.
The renewed interest in SHIB comes amid a broader trend in cryptocurrency markets, where traders often watch reserve and flow data to gauge sentiment shifts. While not an explicit forecast, the movement of tokens away from exchanges often precedes periods of decreased selling pressure.
Shiba Inu, known as one of the leading meme tokens in the cryptocurrency market, has captured significant attention from traders based on its large circulating supply and active community engagement.
As analysts continue monitoring exchange activity, the possibility of the SHIB reserve reaching lower levels remains, with the overall impact dependent on further market developments and trader responses.
Turkish Justice Minister Akın Gürlek confirmed on October 17 that Richard James Schueler — the founder of HEX, PulseChain and PulseX widely known as Richard Heart — was detained in Istanbul on October 14. The arrest closes a years-long international pursuit of one of crypto’s most controversial founders, and it raises the question now hanging over the tokens he built: what actually happens to HEX and PulseChain with their creator in custody?
Gürlek announced the operation in a statement on X, describing Heart as a U.S. citizen reported to have an Interpol red notice issued against him on allegations of perpetrating a $1 billion cryptocurrency fraud in the United States and Finland. Heart was taken into custody along with his wife.
What Turkish Authorities Say They Found
The operation was coordinated by the Istanbul Chief Public Prosecutor’s Office with the city police’s intelligence and financial crimes units, supported by Turkey’s National Intelligence Organization (MİT). Searches across 15 addresses in Beşiktaş, Üsküdar and Sarıyer recovered $7.15 million in U.S. currency and 160,000 Turkish lira, six cold wallets, and a list of goods Gürlek enumerated in full: 300 bags, 100 pairs of shoes, 136 pairs of glasses, 28 watches, 97 pieces of jewelry, 29 phones, 12 laptops, 11 computer towers, 19 solid-state drives and external disks, 46 USB drives, and 19 graphics cards.
Police also seized four long-barreled rifles, three unlicensed pistols and 1,400 rounds of ammunition. Three men identified as Heart’s bodyguards were detained in a follow-up, and state news agency Anadolu reported that nine vehicles registered to Heart’s wife were impounded. Judicial proceedings and examination of the seized material are ongoing.
From an SEC Lawsuit to an Interpol Red Notice
The arrest is the latest turn in a legal record that stretches back years. In July 2023, the U.S. Securities and Exchange Commission sued Heart and his three entities, alleging they raised more than $1 billion through unregistered crypto asset securities offerings and that he misappropriated at least $12 million for personal luxury purchases. That case remains unresolved. A separate Interpol red notice was issued at Finland’s request in December 2024 over suspected aggravated tax fraud tied to his crypto activities, the basis Turkey cited in confirming the detention.
HEX, the certificate-of-deposit-style token Heart launched in 2019, is the common thread across both cases. A BlockchainReporter breakdown of HEX tracks how the token’s own positioning eventually gave way to a slide toward all-time lows.
What the Arrest Means for HEX and PulseChain
Heart’s detention does not stop the networks he built. PulseChain is a running layer-1 blockchain and PulseX a live decentralized exchange, both maintained by community participants rather than a single company. But the arrest removes the figure whose personal brand anchored the ecosystem, and the seized cold wallets are now a focal point: authorities have not said what they hold or whether the assets relate to the alleged fraud.
The situation echoes other cases where a founder’s legal exposure left a live network in limbo. Terraform Labs co-founder Do Kwon’s extradition was authorized by a court after a similarly drawn-out international pursuit, a reminder of how slowly such proceedings can move.
What Happens Next
Turkish officials have not announced an extradition decision, and it is not yet clear whether Heart would be sent to Finland, the United States, or face proceedings in Turkey first. The allegations against him remain unproven. For now the immediate question is procedural — where the case is heard next — while the longer-term question is whether HEX and PulseChain can keep functioning without the founder whose name is attached to both.
AUTHOR
Jide Idowu is a skilled freelance writer with expertise in blockchain technology, cryptocurrency, and digital finance. Known for his ability to break down complex topics into clear, engaging content, Jide crafts articles, blog posts, and analyses that resonate with both beginners and seasoned professionals. His work spans a wide range of subjects, from emerging crypto trends to in-depth explorations of blockchain innovations. With a keen eye for detail and a passion for educating readers, Jide is a reliable voice in the rapidly evolving world of digital assets.
Yuga Labs, the company behind Bored Ape Yacht Club, is getting into trading cards. Its new Mudwater collection went live on Solana on October 17, 2026, and BAYC and Mutant Ape Yacht Club holders can now claim packs.
What Mudwater actually is The debut set is called “Swamp Origins.” It includes 120 distinct artworks built around the familiar Bored Ape imagery.
Cards come in four tiers: standard, foil, serialized, and a rare “cracked-ice” edition. At the top sit 8 serialized cracked-ice 1/1 grails, the one-of-a-kind cards that collectors tend to chase hardest.
Each card links a physical collectible to a matching Solana NFT held in a vault, so ownership exists both on the shelf and on the blockchain.
Claims opened at roughly 23:30–23:35 UTC, right after the announcement. The rollout coincided with ApeFest 2026 in Charleston, Yuga’s yearly gathering for its community.
How the claim process works Eligibility runs through something Yuga calls Totems. BAYC and MAYC holders received 6,551 Totems, which are ERC-6551 token-bound accounts. A token-bound account is an NFT that functions as its own wallet, so the Totem acts as the container that receives and manages a holder’s packs.
BAYC holders can claim 10 packs each, while MAYC holders can claim 2. Every pack contains 10 cards. Altogether, more than 140,000 packs are available to claim.
The claim window remains open until January 19, 2027. The total planned supply goes beyond the first wave of claims: Yuga plans for 10,000 boxes, each holding 24 packs.
The ApeCoin twist Mudwater also includes an unusual fee mechanic. A 2.5% reflection on NFT trades automatically purchases ApeCoin ($APE), which then goes out to Mudwater NFT holders in proportion to their holdings.
Trading happens on OpenSea, which carries separate listings for Totems, Packs, and Cards. Secondary-market listings showed up on the platform soon after claims opened.
Why Yuga is doing this A demo of the card gameplay is available in Otherside, and Yuga has said further expansions inside the metaverse are possible. The company also plans to let collectors upgrade packs into boxes and cases, with upgradeable game elements on the roadmap as well.
What this means for holders and the market For BAYC and MAYC owners, the immediate effect is a fresh airdrop with tradable value. The 10-to-2 ratio rewards BAYC holders more generously, which reinforces the pecking order between the two collections.
The 8 cracked-ice 1/1 grails are likely to anchor the high end of the market. More than 140,000 packs are claimable now, and the planned 10,000 boxes point to substantial total volume, so rarity sits mostly in the serialized and cracked-ice tiers.
For ApeCoin, the 2.5% reflection creates buying tied to Mudwater trades, though its scale depends entirely on how actively the cards change hands.
Disclosure: This article was edited by Kaye Quema. For more information on how we create and review content, see our Editorial Policy.
Tesla CEO Elon Musk says his Optimus robot will one day build Optimus Prime. His quip came after a Chinese firm showed a 13-foot humanoid that can lift more than 1,100 pounds.
The joke points to a real split in the robot race. China is building giant machines for heavy industry, while Tesla is betting on human-sized helpers.
How Big Is China’s New Industrial Robot?The machine is called Neo1. NeodraDynamics, a Beijing robotics startup, revealed what it calls a “super humanoid” at the 2026 China International Industry Fair.
According to the company’s release, Neo1 stands about 4 meters tall and weighs roughly 1.2 tons. That makes it more than twice the height of Musk’s Optimus.
Its two arms can jointly carry 500 kilograms, or about 1,100 pounds. Most of its 41 joints run on small hydraulic actuators instead of electric motors.
As a result, the company pitches Neo1 for port handling, mining, and disaster rescue. It also lists nuclear and deep-sea maintenance as future uses.
A user then asked Musk for a real-life Evangelion, the Japanese anime about giant piloted robots. Musk replied that Optimus will build Optimus Prime, the giant leader of the Transformers.
Why Musk’s Optimus Plays a Different GameOptimus is a human-sized robot built for factory and household tasks. Neo1, in contrast, gives up flexibility for raw strength.
Even so, Wall Street still ties much of Tesla’s value to Musk’s Optimus bet. For instance, Wedbush analyst Dan Ives expects robotaxis and Optimus to make 2027 a strong year.
Not everyone agrees. Billionaire investor Mark Cuban recently predicted that humanoid robots will fail within a decade.
Meanwhile, Musk keeps making bold hardware promises. He recently showed off a flying Tesla Roadster in Texas.
Chinese rivals are also moving fast. Unitree’s founder expects robots to reach their own ChatGPT moment within two to 10 years.
For now, the Musk Optimus Prime post is a joke. Still, giant Chinese prototypes and Tesla’s human-sized bet show that the humanoid race has no clear winner yet.
Mysten Labs, the developer behind Sui Network ($SUI), has named Kevin Boon CEO. Co-founder Evan Cheng moves to CTO and will lead a new AI business unit.
Mysten Labs, the developer behind Sui Network ($SUI), has a new chief executive. Co-founder @EvanWeb3 announced that @KevinBoon_ML will lead @Mysten_Labs, the company that builds @SuiNetwork.
Boon had been serving as president. The Defiant reported that he succeeds Evan Cheng as CEO, while Cheng stays on as chief technology officer.
Planned succession at Mysten LabsCheng said the handover had been in his plans for some time. "I planned for this day when I made him President," Cheng wrote on X, according to a report syndicated from The Defiant. In an Oct. 16 letter, he said Boon had accepted the job. Cheng added that he has "the utmost faith" in Boon as his successor.
Boon previously served as chief legal officer before being promoted to president, per the same report. Cheng described him as instrumental in leading Mysten Labs, and Boon has spent four years at the company.
Cheng framed the move as a way to free up time for technical leadership while continuing to support the Sui and Walrus ecosystem. In the letter he wrote that it "makes my scope more manageable."
New AI unit to be built on Sui and WalrusThe leadership change comes alongside a new internal AI business unit, which Cheng will lead personally. According to ChainCatcher, the unit will have its own engineering and product development functions to reduce external dependencies. It will focus on agent-trust products and AI-native infrastructure, following the model of Mysten's onchain finance unit launched this summer.
The stated aim is to let AI agents carry out tasks autonomously within limits set by their users. Products and services are to be anchored to Sui and Walrus, Mysten's decentralized storage protocol, which launched on mainnet in March 2025, The Defiant reported.
Cheng pointed to risks as agents take on tasks such as trading and payments. TokenPost quoted him as saying AI agents are starting to make decisions with financial and legal consequences, and that systems are needed to ensure they cannot exceed their authority.
Mysten Labs has also announced a collaboration with Google Cloud on a Verifiable Agent Arbiter, an evidence layer intended to show that enterprise AI agents act within authorized boundaries, according to ChainCatcher.
The announcement has no direct bearing on the Sui protocol itself, and one market commentary noted that a leadership change alone offers little basis for a trading thesis. Readers tracking $SUI may want to watch on-chain activity and liquidity instead.
Sources:
The Defiant: Kevin Boon Succeeds Evan Cheng as Mysten Labs CEOChainCatcher: Mysten Labs appoints Kevin Boon as CEOTokenPost: Kevin Boon accepts CEO role as Evan Cheng leads AI unit
Papertrade trading activity has cooled: daily revenue is down 83% month-on-month, trading volume down 43%.
According to DefiLlama data, Papertrade’s revenue on October 17 dropped to $890,000, ranking 7th among all global protocols, marking an 83% month-over-month decline. The platform had previously overtaken Circle to claim the second spot overall. Separately, per Papertrade’s official data, its trading volume on October 17 (counted by UTC calendar days) hit approximately $542.3 billion, down 43% from $965.2 billion on October 16, and 90% lower than its peak of $5.6423 trillion on October 10. Both transaction count and new account additions saw synchronized declines: on October 17, transaction volume stood at 135,227, a 40% drop from 226,541 the prior day; new accounts totaled 622, down 53% from 1,322 the day before.
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A sell-off in AI stocks and rising oil prices weighed on US stocks, with the Nasdaq recording its worst weekly performance since June.
According to CNBC, U.S. stocks closed lower on Friday, with the Nasdaq down 2.14%, S&P 500 down 1.09%, and Dow Jones down 0.34%. Both the Nasdaq and S&P 500 closed below their 50-day moving averages, and the VIX index rose above 22 for the first time in four months. For the full week, the Nasdaq fell more than 4%, marking its worst weekly performance since June; the S&P 500 dropped around 2%, while the Dow Jones gained 0.7%. Tech and AI-related stocks continued to face sell-offs. The semiconductor ETF (SMH) fell 3% on the day and 10% for the week, posting its largest weekly decline since April 2025, led by Micron, AMD, and SanDisk. Markets are concerned about competition from Chinese manufacturers and tech companies taking on excessive debt for AI infrastructure. AI cloud service provider CoreWeave fell nearly 12% on the day and 25% for the week, with total debt exceeding $51 billion. Rising tensions between the U.S. and Iran, and between Russia and Ukraine, pushed oil prices higher. WTI crude oil futures rose 3.51% to settle at $101.41 per barrel, while Brent crude futures gained 3.72% to settle at $109.86 per barrel. Energy stocks rose against the trend, with names like Chevron helping to limit the Dow’s losses.
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OpenCode cloud platform breached: third-party API keys suspected to have been leaked, users report being charged $400
Beating AI News: AI coding tool OpenCode has disclosed a security incident affecting 1.4% of its Console users. All affected users had linked third-party model services via the cloud. Public notifications from users show an old system slated for deactivation was accessed without authorization, potentially exposing OpenAI, Anthropic, and other API keys stored in workspaces. The OpenCode team has sent emails to affected users.
OpenCode offers both local coding tools and an optional cloud-based Console service. Users can entrust their API keys to the Console for it to call models on their behalf, allowing team members to share these models without accessing the original keys directly. Once attackers obtain these keys, they can bypass user login to directly call paid models, with charges billed to the original account holders. A Reddit user reported $400 in unauthorized calls to their Anthropic account.
OpenCode linked the incident to "large-scale model distillation attacks" — a practice of collecting responses from one model in batches to train another model with that data. If attackers steal a large number of API keys, they may use others' accounts to collect training data, shifting high model call costs onto the original users. OpenCode is collaborating with Anthropic, OpenAI, and Google to resolve the incident. Anthropic's Lydia Hallie stated the company has revoked potentially affected Claude API keys. OpenCode is urging affected users to visit the respective model service providers' backends to revoke and replace their keys, and check for recent abnormal calls.
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Gambler's $1.08M $ETH Long Liquidated, Still Holds 1,355.6 $BTC at Risk
This gambler's $ETH long was also fully liquidated 5 hours ago, resulting in a $1.08M loss.
He still holds a long position on 1,355.6 $BTC ($110.85M), with a liquidation price of $80,035.7.
But he has set a stop-loss at $80,500.
Rick Wurster says Schwab blocks 'tens and twenties' of agent attempts weekly. The read-only MCP model is emerging as the de facto framework while federal statutes stall.
On October 16, Charles Schwab CEO Rick Wurster confirmed in a Bloomberg TV interview that the firm is actively blocking unauthorized AI agents, such as Meta Muse, from executing transactions on behalf of clients. Wurster receives a weekly report indicating that Schwab is blocking between ‘tens and twenties’ of attempts by major AI agents to access and manipulate client funds.
Schwab’s strategy relies on a clear distinction between informational access and transactional authority. The firm is steering customers toward its proprietary AI assistant, ‘Charley,’ which is restricted to administrative and informational tasks and does not possess the capability to execute trades. For external partner large language models, Schwab is implementing Model Context Protocol (MCP) servers. These servers provide read-only access, allowing agents to view account balances and conduct research while explicitly prohibiting them from moving money.
JPMorgan CEO Jamie Dimon recently confirmed that his firm is also blocking outside agents from accessing customer-account information. Together, these actions signal an industry-wide pattern of ‘private ordering,’ where firms establish their own liability frameworks through exclusion rather than waiting for external mandates.
Wurster articulated the core institutional concern: ‘We don’t want someone just giving their password to Muse, and letting Muse come in and take action on that client’s behalf. We can’t control it, the client can’t control it, something could go wrong and who’s liable?’
This concern over accountability is currently playing out in a statutory vacuum. As discussed in our Policy Radar analysis on agent liability clocks and our review of patchwork regulation, there is no federal statute governing agent liability in financial services. Legislative efforts, including the Warner AI AGENT Act, the Hawley-Murphy AI Agent Accountability Act, and the Great American AI Act, have all stalled in committee. Furthermore, the Department of Justice has maintained a hands-off stance regarding standalone AI enforcement, leaving financial institutions to navigate the risks of autonomous agents without clear legal safe harbors or liability standards.
In the absence of federal intervention, major financial institutions are effectively establishing their own standards. By enforcing a ‘read-only’ standard for third-party AI agents, firms are shifting the burden of risk management away from the agent developers and back onto the institutions themselves. This private ordering serves as a de facto framework, prioritizing the integrity of the financial system over the integration of autonomous agents.
As these institutions continue to build their own liability frameworks through exclusion, they are setting a precedent that may extend beyond the financial sector. For now, the message from firms like Schwab and JPMorgan is clear: while AI agents may be permitted to observe, they are not yet trusted to act.
Ethoswarm Priya Nair works for Forkast.
Minds can also work for you.
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Worldcoin, like many altcoins in the market, seemed to be recovering from its recent dip at press time. In fact, WLD bounced back from a $0.46 slip, defended the $0.5 support, and rose to a local high of $0.54.
At the time of writing, Worldcoin was trading at around $0.52, marking a 6.5% hike on the daily charts. The price hike was supported by strong buying pressure too, with the same backed by the turnover numbers.
According to Coinank, the altcoin’s daily turnover rose to $174 million, marking an increase of over $15 million in just 24 hours.
Three major reasons why Worldcoin is showing bullish momentum Analysts have pointed out various factors that have fueled Worldcoin’s rebound. Lucky, for instance, attributed the surge to South Korean retail FOMO and short squeeze. He pointed to Kimchi premium mania, noting that domestic trading volume in South Korea surged to reach 26x of global share.
Secondly, the analyst noted that the recent price hike triggered short liquidations on Binance, Bybit, and OKX.
The third factor driving the market is AI hype and the technological roadmap. The market saw renewed speculation around Sam Altman’s AI agent verification tools and human-centred socials.
In fact, another analyst posited that the new World ID was observed within OpenAI’s ecosystem, sparking speculation about the first ChatGPT wallet. Finally, Takumatoshi posited that it is now particularly possible to prove identity inside OpenAI’s tools.
Is demand returning to derivatives? With Worldcoin capturing market attention again, investors have increased capital deployment for strategic positioning. As a result, demand returned to the derivatives market again.
According to Coinglass, Worldcoin’s Open Interest rose by 14.7% to $543 million while the derivatives volume climbed by 86% to $1.1 billion. A hike in OI alongside volume might allude to greater market participation as traders open new positions.
Source: Coinglass Meanwhile, the Long Short Ratio jumped above 1 across all tracked exchanges, suggesting that these traders were mostly bullish.
With demand returning to the derivatives, it pivoted on already existing spot demand. Interestingly, even when the market crashed, the Spot Netflow remained negative.
Source: Coinglass The metric has remained negative for nine consecutive days, reflecting a sustained market demand.
Can WLD maintain its recovery? As demand returned to the market, the market momentum has been gradually flipping bullish. When we look at the Stochastic Momentum Index, the indicator formed a bullish crossover and rose to -17.
The crossover pointed to improving market conditions. However, the indicator was in the negative zone at press time, suggesting bears continued to dominate the market.
Source: Tradingview At these levels, the SMI suggested that buying activity was yet to be significant enough to inspire a trend reversal. The Trend Strength Index (TSI) confirmed this view as it also sat within the negative zone.
With both the SMI and TSI negative and rising, it meant that although buyers tried, sellers remained dominant.
When these indicators are set at such levels, it means the next move depends on which side shows greater determination.
Therefore, if recovering demand holds, it will help Worldcoin flip $0.58 and target its key resistance at $0.61. For this bullish outlook to hold, WLD must close above $0.5. Otherwise, it could crash to $0.45.
Final Summary Worldcoin [WLD] surged by 6%, successfully defended $0.5, and rose to a local high of $0.54. Worldcoin rallied amid a recovery in speculation around AI agent verification tools and human-centred socials.
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Pump.fun has rolled out support for perpetual futures (perps) for crypto assets including Bitcoin and Ethereum. The offerings also span RWA (real-world assets) perps covering the S&P 500, oil, and other U.S. stocks with up to 50x leverage, powered by Hyperliquid.
Neither the platform nor its leadership has officially announced the update as of press time. However, the new perps feature is already live for trading.
Source: Pump.fun Pump.fun will join a growing list of super-apps and wallets (Phantom, MetaMask, Rabbit Wallet, etc.) that are using Hyperliquid to offer leveraged trading across various asset classes.
This marks a significant milestone and evolution for Pump.fun as it expands beyond just a Solana-based memecoin launchpad to include a DeFi platform and self-custody wallet. So, will the expansion boost PUMP and HYPE tokens?
Will Hyperliquid integration boost PUMP and HYPE? Analysts are generally optimistic that the update will be net positive for both tokens. Such integrations are expected to increase users, trading volumes, and eventually, revenues for each protocol involved.
In fact, Blockworks analyst Shaunda Devens billed it as a “monetization potential.”
PumpFun enabling perps through Hyperliquid is an example of the monetization potential you have when you move from pure infra (launchpad<>DEX) to owning the user as well (mobile<>terminal).
So far, Phantom, MetaMask, Trust Wallet, and Fomo are already generating $370K-$430K in weekly revenue. That’s over $22M in annualized revenue for only these three platforms.
Assuming Pump.Fun pulls such a massive adoption scale, that’s over $20M in potential revenue. And since 50% of Pump.Fun revenue goes to PUMP buyback, it could boost the token’s value.
Similarly, routing users to Hyperliquid translates to more volume and base protocol fees. With Pump.Fun bringing a new pipeline of traders, Hyperliquid will benefit in the long run too.
Interestingly, Hyperliquid uses over 97% of its revenue for HYPE buybacks. So, any incremental revenue will likely scale HYPE value, especially during risk-on periods.
In fact, DeFiLlama painted a similar picture. In 2026, HYPE’s price rally from $40 to over $80 was fueled by rising perp volume and revenue. Any brief corrections correlated with a slight dip in volume and revenue.
Source: DeFiLlama That said, PUMP has seen a 34% correction over the past few days. It broke below some key moving averages, which flipped its market structure bearish.
However, whether the Hyperliquid integration will enable buyers to defend the next support zones at $0.003 and $0.004 remains to be seen.
Source: PUMP/USDT, TradingView Final Summary Pump.fun launched crypto and RWA perps with up to 50x leverage powered by Hyperliquid. Integration could boost Pump.Fun traction and revenue, but it’s unclear if it can help reverse the 34% pullback in October.
Vitalik Buterin has a new side project: comparing electricity bills. In an October 17, 2026 post on X, the Ethereum co-founder contrasted how money gets spent in Bitcoin mining versus AI inference.
His core point is simple. Bitcoin mining costs are divided between hardware and electricity, while AI inference spends mostly on hardware.
The numbers behind the split Estimates tied to the comparison put the cost of mining one Bitcoin at roughly $93,700. Of that, about $37,600, or 40%, goes to compute capital expenditure, the upfront cost of buying mining machines.
Electricity accounts for approximately $40,600, or 43.3%. Put another way, the bill for the rigs and the bill for the power that runs them are close to a coin flip.
AI inference tells a very different story. Inference is the stage where a trained model actually answers questions, generates images or writes code for users.
The estimated cost there runs about $26,260 per GPU-year. Compute capex makes up roughly $19,900 of that, or 76%.
Electricity? Somewhere between $1,050 and $1,260, which works out to just 4% to 4.8% of the total. For an AI operator, the power bill is closer to a rounding error than a strategic concern.
The gap gets wider at the facility level. Building and operating a Bitcoin mining site is estimated at $700,000 to $1 million per megawatt.
AI infrastructure comes in at around $20 million per megawatt.
Why the cost structure matters more than the total Buterin’s analysis focuses on how costs are composed, not on which sector spends more or burns more energy overall. It does not attempt to equate absolute spending or total energy use between the two industries.
Bitcoin miners remain highly sensitive to ongoing power costs, since electricity eats such a large share of what it takes to produce each coin. AI operators’ economics hinge on hardware efficiency and utilization, meaning how much useful work each expensive GPU performs over its life.
Background: two industries chasing the same power Bitcoin mining and AI data centers increasingly compete for similar resources: grid connections, cheap power and physical space.
Mining is built around a proof-of-work system, where machines race to solve puzzles and the winner earns newly issued Bitcoin. Electricity is a structural input to that process, which helps explain why it shows up as such a large slice of the cost estimate.
Ethereum, the network Buterin co-founded, moved away from proof-of-work years ago. So when he weighs in on Bitcoin’s energy economics, he is speaking as someone whose own chain no longer pays that particular bill.
AI inference, by contrast, lives and dies on specialized chips. Those chips are costly, and the data centers that house them are far more expensive to build per megawatt, as the facility estimates show.
What this means for miners and investors If electricity makes up more than 40% of the cost to mine a coin, miners with access to cheap, stable energy hold a structural edge, while those exposed to volatile power markets carry real margin risk.
Some miners could explore using their infrastructure for AI applications where capital efficiency may be greater. However, mining sites cost an estimated $700,000 to $1 million per megawatt, while AI infrastructure runs around $20 million per megawatt. Any miner eyeing AI would be signing up for a radically different capital commitment, swapping electricity risk for hardware and utilization risk.
For the AI side, with electricity at roughly 4% to 4.8% of inference costs, the pressure falls on keeping GPUs busy and efficient, since idle hardware at $19,900 a year in capex is an expensive thing to leave sitting around.
Disclosure: This article was edited by Estefano Gomez. For more information on how we create and review content, see our Editorial Policy.
In brief
Nine blockchain organizations launched the Quantum Alliance, an open standards body to define what “quantum-ready” means and create a common way to test and verify quantum-resistance claims across networks, wallets and infrastructure.
The group warns that elliptic-curve signatures leave roughly 6.04 million BTC (~30% of supply) quantum-exposed, citing forecasts pointing toward the late 2020s.
Modeled on the IETF, it will work in four groups—migration, zero-knowledge systems, wallet security and cross-chain compatibility.
A group of crypto companies is trying to settle one of the industry’s murkiest questions: what it actually means for a blockchain network to be safe from quantum computers.
Executives from nine organizations launched the Quantum Alliance on Thursday, an open standards body that will set criteria for judging quantum-resistance claims and create compatibility rules for networks as they migrate to new cryptography.
Myriad: How high will Bitcoin go? Click to make your prediction.The founding contributors span base-layer protocols, privacy networks, rollups, hardware wallets and security auditing, including Quantus, Postquant Labs, Midnight Foundation, Keystone, Abelian and security firm Hacken.
Modeled on the Internet Engineering Task Force, the Alliance said proposals will advance on public evidence and working implementations rather than corporate size or token holdings, and everything it produces will be published openly.
Its work will run in four groups: blockchain migration, post-quantum zero-knowledge systems, wallet security and cross-chain compatibility. “In the future, ‘post-quantum cryptography’ will just be called ‘cryptography’ and everything else will be in a museum,” said Quantus founder and CEO Christopher Smith.
The problem it’s tackling is that there’s no agreed definition of “quantum-ready,” and no standard way to test one. A network can call itself quantum-resistant today with no shared understanding of what the claim covers or what evidence should back it, a gap the Alliance was formed to close.
The stakes are familiar to anyone following the beat. Nearly every major blockchain secures accounts with elliptic-curve signatures, and once an account’s public key is exposed on the ledger, a sufficiently powerful quantum computer running Shor’s algorithm could theoretically reverse-engineer the private key and seize the funds.
The same cryptography guards stablecoin minting keys, bridges, oracles, and governance contracts, meaning one cracked privileged key could cascade across platforms. By the Alliance’s count, roughly 6.04 million BTC, about 30% of supply, sit quantum-exposed at rest.
The timelines keep tightening. The Quantum Alliance cites a cluster of recent forecasts pointing toward the late 2020s, including a model co-built by two Alliance contributors that flags March 2028 as an early window, and a Google Quantum AI study that slashed the estimated qubits needed to break Bitcoin’s cryptography to under 500,000.
No machine can do it yet. Google has also chipped away at key quantum bottlenecks, while figures like famed investor Kevin O’Leary have flagged the quantum threat as a catch hanging over Bitcoin’s long-term case.
The newly formed Quantum Alliance joins a widening industry scramble to address the risk. Coinbase recently urged Bitcoin developers to start the quantum migration now, suggesting preparations could take years. Meanwhile, a consortium backed by BlackRock, Strategy, and Coinbase has committed $15 million to the problem.
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In brief
Nine blockchain organizations launched the Quantum Alliance, an open standards body to define what “quantum-ready” means and create a common way to test and verify quantum-resistance claims across networks, wallets and infrastructure.
The group warns that elliptic-curve signatures leave roughly 6.04 million BTC (~30% of supply) quantum-exposed, citing forecasts pointing toward the late 2020s.
Modeled on the IETF, it will work in four groups—migration, zero-knowledge systems, wallet security and cross-chain compatibility.
A group of crypto companies is trying to settle one of the industry’s murkiest questions: what it actually means for a blockchain network to be safe from quantum computers.
Executives from nine organizations launched the Quantum Alliance on Thursday, an open standards body that will set criteria for judging quantum-resistance claims and create compatibility rules for networks as they migrate to new cryptography.
Myriad: How high will Bitcoin go? Click to make your prediction.The founding contributors span base-layer protocols, privacy networks, rollups, hardware wallets and security auditing, including Quantus, Postquant Labs, Midnight Foundation, Keystone, Abelian and security firm Hacken.
Modeled on the Internet Engineering Task Force, the Alliance said proposals will advance on public evidence and working implementations rather than corporate size or token holdings, and everything it produces will be published openly.
Its work will run in four groups: blockchain migration, post-quantum zero-knowledge systems, wallet security and cross-chain compatibility. “In the future, ‘post-quantum cryptography’ will just be called ‘cryptography’ and everything else will be in a museum,” said Quantus founder and CEO Christopher Smith.
The problem it’s tackling is that there’s no agreed definition of “quantum-ready,” and no standard way to test one. A network can call itself quantum-resistant today with no shared understanding of what the claim covers or what evidence should back it, a gap the Alliance was formed to close.
The stakes are familiar to anyone following the beat. Nearly every major blockchain secures accounts with elliptic-curve signatures, and once an account’s public key is exposed on the ledger, a sufficiently powerful quantum computer running Shor’s algorithm could theoretically reverse-engineer the private key and seize the funds.
The same cryptography guards stablecoin minting keys, bridges, oracles, and governance contracts, meaning one cracked privileged key could cascade across platforms. By the Alliance’s count, roughly 6.04 million BTC, about 30% of supply, sit quantum-exposed at rest.
The timelines keep tightening. The Quantum Alliance cites a cluster of recent forecasts pointing toward the late 2020s, including a model co-built by two Alliance contributors that flags March 2028 as an early window, and a Google Quantum AI study that slashed the estimated qubits needed to break Bitcoin’s cryptography to under 500,000.
No machine can do it yet. Google has also chipped away at key quantum bottlenecks, while figures like famed investor Kevin O’Leary have flagged the quantum threat as a catch hanging over Bitcoin’s long-term case.
The newly formed Quantum Alliance joins a widening industry scramble to address the risk. Coinbase recently urged Bitcoin developers to start the quantum migration now, suggesting preparations could take years. Meanwhile, a consortium backed by BlackRock, Strategy, and Coinbase has committed $15 million to the problem.
Daily Debrief NewsletterStart every day with the top news stories right now, plus original features, a podcast, videos and more.
Join 72,000+ readers
Create an account to save your articles.
Add on Google
Add Decrypt as your preferred source to see more of our stories on Google.
Bitcoin is hovering near $81.5K as repeated tests of nearby demand keep buyers under pressure. The broader ascending structure remains intact, but fading rebounds suggest that a stronger response is needed to prevent a deeper correction.
Bitcoin Price Analysis: The Daily Chart On the daily timeframe, BTC has continued to retreat following its rejection from the $85.5K–$90.5K supply zone. Recent candles show lower highs and repeated probes toward $80K, indicating that buyers have struggled to regain momentum after the initial selloff.
The price is now approaching the ascending channel’s midpoint around $79K–$80K. This trendline represents nearby structural support, while the highlighted $75K–$78K demand zone remains the main daily defense below. Holding these areas would preserve the broader recovery structure, although it would not immediately reverse the recent bearish sequence.
To improve the outlook, Bitcoin needs to reclaim the recent rebound highs around $83K–$84K before challenging the $85.5K–$90.5K resistance zone again. Conversely, sustained weakness beneath $80K would increase the likelihood of a move toward $78K and potentially the lower boundary of demand near $75K.
BTC/USDT 4-Hour Chart The 4-hour chart places Bitcoin just above the marked buyers’ decision point at $80K–$81.3K. This demand zone overlaps with the rising channel’s lower boundary and has attracted several buying responses. However, successive rebounds have failed to recover the previous highs, leaving the short-term structure vulnerable.
A sustained recovery above $82.5K–$83K would provide an initial sign of improving demand, followed by the recent resistance area around $84K. Beyond that, the sellers’ decision point at $85.5K–$86.7K remains the main barrier. Reclaiming this zone would weaken the corrective scenario and bring the highs near $87K back into focus.
Conversely, a decisive break below the $80K demand boundary and ascending trendline would undermine this support confluence. Such a development could extend the decline toward the next highlighted demand zone around $74.8K–$76.3K. The current area therefore remains pivotal, with buyers needing stronger follow-through to turn repeated defenses into a meaningful recovery.
Sentiment Analysis The Realized Price UTXO Age Bands chart tracks the average on-chain cost basis of coins grouped by age. Bitcoin, currently near $81.7K, remains above the realized prices of the 1-to-3-month and 3-to-6-month cohorts, positioned around $70.5K and $69.5K, respectively. These younger cohorts remain in aggregate unrealized profit despite the correction.
However, the price remains below the 6-to-12-month cohort’s realized price near $87K and the 18-month-to-2-year cohort’s level around $91K. These cost bases form overhead reference points, with the former overlapping the technical supply zone. Holders approaching breakeven during a rebound could introduce selling pressure, although the metric alone does not confirm that they will sell.
The chart also shows the 1-to-3-month realized price rising while the 3-to-6-month measure declines, bringing both toward the $70K region. This identifies a concentration of younger-holder cost bases well below the current price, rather than immediate support for the present consolidation.
For now, the $87K–$91K cost-basis region remains an important hurdle for a broader recovery. Sustained acceptance above it would return these older cohorts to aggregate unrealized profit, while continued rejection would leave the overhead resistance intact.
Disclaimer: Information found on CryptoPotato is those of writers quoted. It does not represent the opinions of CryptoPotato on whether to buy, sell, or hold any investments. You are advised to conduct your own research before making any investment decisions. Use provided information at your own risk. See Disclaimer for more information.
