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first_img Chainalysis sues ICE for exclusively awarding a $94.6 million blockchain analysis contract to TRM Labs

Blockchain analysis company Chainalysis has filed a lawsuit in the U.S. Federal Claims Court, accusing the U.S. Immigration and Customs Enforcement (ICE) of illegally awarding a $94.6 million exclusive contract to competitor TRM Labs. This contract provides forensic software and support services for investigations by the Department of Homeland Security's task force, with a performance period from July 1, 2026, to June 30, 2027. Chainalysis claims this is the largest blockchain analysis contract awarded by the U.S. government to date.In the complaint, Chainalysis pointed out that ICE issued a Request for Information (RFI) on May 28, which included 18 questions regarding capabilities such as a proprietary fraud victim database, AI agent data retrieval, automatic notifications for virtual asset service providers (VASP) to execute voluntary freezes, and collaboration with stablecoin issuers. However, many of the RFI requests did not appear in the final Statement of Need released less than two weeks later, while ICE's market research determined that Chainalysis could not meet the needs based on RFI standards. Chainalysis also noted that "sexual extortion," which was not mentioned in the RFI, became one of the three main task areas in the Statement of Need, and some requirements closely matched TRM's proprietary product architecture.Chainalysis claims it was the only company to submit a capability statement, but ICE completed its market research the next day, determining that TRM was the only vendor capable of meeting all the requirements, and did not pose any follow-up questions to it.

Tom Lee: Nvidia's valuation is still relatively low, and the weakness in some AI stocks may be due to funds shifting towards Nvidia

BitMine Chairman Tom Lee stated on CNBC that after Nvidia announced strong performance, its stock price rose, breaking the previous trend where positive earnings reports struggled to drive stock prices, indicating that investors still value the company's fundamentals. Software stocks like Salesforce, CrowdStrike, and Okta also strengthened, reflecting a positive market response to downstream AI transactions, with an overall healthy market reaction.Regarding the weak performance of AI-related stocks such as Meta, Amazon, Alphabet, AMD, and Micron, Tom Lee believes that some investors may have previously underweighted Nvidia and might need to sell other tech stocks to raise funds for increasing their Nvidia holdings. He pointed out that Nvidia's earnings expectations have been significantly raised, but the stock price has not fully caught up, and the price-to-earnings ratio is still contracting, with the current valuation remaining relatively low.Tom Lee also mentioned that data center construction is gradually becoming a political issue in the U.S. midterm elections. Even some Republican-led states and states supporting data center development are beginning to consider pausing related projects, which may be one reason for the recent poor performance of AI infrastructure-related stocks, with more funds shifting towards downstream AI targets.

OKX Director Lennix: The financial market is accelerating towards tokenization and around-the-clock trading

On August 28, OKX Director Lennix was invited to attend the Bitcoin Asia 2026 roundtable forum "The Rise of Financial Super Applications," where he shared insights on the integration of traditional finance and the crypto market, the underlying infrastructure of financial super applications, and the development prospects of stock tokenization.Lennix stated that financial products are accelerating towards integration within the same account system. In the future, users will want to trade and manage different categories of financial assets under the same funds, the same account, and the same margin and risk control system, which will become an important direction for the continuous evolution of the industry. He pointed out that on the surface, financial super applications allow trading of crypto, traditional stock assets, foreign exchange, commodities, etc., within one application; however, the real challenge lies in the connectivity of the underlying infrastructure of various assets, including the banking system, wallets, trading accounts, shared margins, and the collaboration between risk control and compliance backends.At the same time, Lennix mentioned that stock tokenization and the tokenization of traditional financial assets are essentially an upgrade to the traditional market. By connecting relevant assets to the matching, margin, risk control, and compliance systems of cryptocurrency exchanges, the market can achieve longer trading and risk management periods, while continuously providing price signals during non-trading hours. When discussing institutional cooperation, Lennix stated that the strategic investment of the Intercontinental Exchange in the OKX Group reflects that the financial market is moving towards tokenization and around-the-clock trading. With the continuous growth of stock tokenization business, this field is expected to become an important development direction for future financial markets.

first_img Coinbase's Chief Policy Officer rebuts the American Bankers Association: There is no evidence that stablecoin rewards lead to bank deposit outflows

According to CoinDesk, Coinbase Chief Policy Officer Faryar Shirzad wrote an article for CoinDesk rebutting the arguments made by the American Bankers Association (ABA) against the stablecoin reward provisions in the Clarity Act. ABA CEO Rob Nichols claimed that only minor wording changes were needed to strengthen the bill and warned that allowing stablecoin rewards would lead to a loss of deposits for community banks.Shirzad pointed out that Coinbase has been paying stablecoin rewards for USDC for over four years, while community bank deposits grew by 26% from June 2019 to March 2026, amounting to approximately $482 billion.Shirzad cited research from Charles River Associates and the Economic Advisory Council stating that there is no significant correlation between stablecoins and bank deposits. He emphasized that the credit card industry was built on reward mechanisms, and the banking industry itself relies on this model. The current text of the bill was reached after months of negotiations between Senators Tillis and Alsobrooks and bank representatives, clearly delineating the boundaries: prohibiting returns on idle funds but allowing compensation for real activities.Shirzad believes that the Clarity Act will grant banks the broadest statutory powers since the Gramm-Leach-Bliley Act of 1999, including custody, staking, lending, payments, clearing, and market-making, with community banks benefiting the most. He called on all parties to accept this compromise and work together to advance the bill.

Bitget Research Institute: If Bitcoin effectively breaks through the resistance level of 83,000, it may open up upward space to 90,000

Bitget Research Institute Chief Analyst Ryan Lee stated that driven by multiple favorable factors such as the continuous net inflow of the U.S. spot Bitcoin ETF for five days, large-scale short liquidations, the U.S. Treasury's expansion of long-term bond repurchases leading to a drop in yields and a weakening dollar, as well as signals from the Trump administration indicating a pro-crypto regulatory stance, Bitcoin has broken through the $80,000 mark, reaching a new high in recent months, with market sentiment rapidly shifting from "fear" to "greed."He pointed out that BTC is expected to stabilize above $78,000 in the short term and oscillate around that area, with key support levels in the $74,000--$76,000 range and primary resistance at $83,000. If it breaks through effectively, it may further challenge the $85,000--$90,000 levels.Regarding Ethereum, benefiting from the market's increased risk appetite driven by BTC, simultaneous ETF fund inflows, and a rebound in DeFi activity, Ryan noted that ETH's short-term average price could reach $2,600--$2,800. If it breaks through the $2,650--$2,700 resistance level, it may further push towards the $3,000 mark.At the same time, Ryan also reminded investors that although ETF fund inflows are strong and short-term momentum is sufficient, there are still profit-taking pressures in the market, as well as macro policy uncertainties such as the Jackson Hole meeting and the September interest rate meeting. Traders should be prepared for fluctuations of 10--20% and closely monitor daily ETF flow data and key support levels.

Anthropic's flagship model is facing a downturn, with only 11% of corporate spending directed towards Fable5

On August 24, according to the Financial Times, Anthropic's U.S. corporate clients are reducing their use of its most powerful model, Fable5, opting instead for lower-priced alternative models, raising concerns about its high-investment business model. Anthropic is currently preparing for an IPO, with the market expecting its valuation to reach $2 trillion or more, potentially listing as early as September.Data from Ramp on spending by 70,000 companies shows that two months after the release of Fable5, corporate spending on this model accounted for only about 11% of Anthropic's total tool spending, and has recently stabilized. Analysts believe the main reason is that Fable5 is expensive, while older models can meet the needs of most companies; the Opus5 launched at the end of July is smaller and cheaper, with corporate spending already exceeding that of Fable5. Fable5 was withdrawn shortly after its release in early June due to intervention by the Trump administration on national security grounds, and was allowed to go back online on July 1, but demand and adoption rates remain lower than those of previous cutting-edge models.Anthropic's annualized revenue reached $65 billion last month, up from $47 billion in May, growing nearly sevenfold since the beginning of the year; the company achieved adjusted operating profit for the first time in the second quarter and has 6,000 clients with annual spending exceeding $100,000. Companies are controlling AI spending by choosing models with better cost-performance ratios, while OpenAI has seen a rebound, with annualized revenue growing 35% this quarter after the release of GPT5.6, exceeding $40 billion. The market is shifting from "chasing the strongest model" to placing greater emphasis on a comprehensive balance of model capability, price, and actual ROI.
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