A trader, after incurring total losses of $4.89 million, took a large long position in BTC and currently holds a BTC long position valued at $5.43 million.
According to OnchainLens monitoring, a trader who has suffered a total loss of $4.89 million has once again taken a heavy long position. Currently, the trader holds 84 BTC long positions worth approximately $5.43 million with 40x leverage. The account also holds long positions in HYPE valued at around $290,000 and long positions in PUMP worth roughly $148,000. Additionally, the trader has placed a limit buy order for 6.56 BTC, worth about $424,000, at a price of $64,600.
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Yesterday, U.S. Bitcoin spot ETFs recorded a net inflow of $107.7 million, while U.S. Ethereum spot ETFs saw a net inflow of $53.9 million.
According to data from Farside Investors, U.S. spot Bitcoin ETFs saw a total net inflow of $107.7 million yesterday. Among them, BlackRock’s IBIT attracted $80.8 million, Fidelity’s FBTC recorded $16.9 million in net inflows, Grayscale’s Bitcoin ETF posted $10 million, while all other ETFs had zero net flows for the day. In the same period, U.S. spot Ethereum ETFs totaled a net inflow of $53.9 million. Breakdown shows BlackRock’s ETHA brought in $45.3 million, ETHB had $4 million, Grayscale’s Ethereum ETF recorded $4.6 million, with all other ETFs registering no net inflows on the day.
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South Korean media reported that Jensen Huang highly praised SK Hynix for its listing on the Nasdaq.
According to South Korean media reports, SK Hynix has raised a massive sum of up to 40 trillion won (approximately $307.6 billion) via its listing on the U.S. Nasdaq market, with the goal of consolidating its leadership in the artificial intelligence (AI) semiconductor market. Jensen Huang, CEO of NVIDIA (NVDA.O) — the global leader in the AI chip sector — extended warm congratulations on the listing. Per industry sources, on July 16, after concluding an event held in Tokyo, Japan, the day before, Huang expressed extreme delight over the listing of SK Hynix's American Depositary Receipts (ADRs), calling it "extremely successful". (Jinshi)
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Analysis: Changxin Technology’s profit range for winning one IPO lot is estimated to be between 3,000 yuan and 26,000 yuan.
According to Cailian Press, investors who win the IPO allotment for Changxin Technology’s current offering will receive one lot of 500 shares, requiring a total payment of 4,330 yuan. Under four valuation scenarios—conservative, neutral, optimistic, and ultra-optimistic—Changxin Technology’s valuation would reach 1 trillion yuan, 1.5 trillion yuan, 2.3 trillion yuan, and 4.25 trillion yuan respectively. Based on the estimated market capitalization range of 1 trillion to 4 trillion yuan, its first-day post-listing price increase is projected to fall between 70% and 600%. Compared to the issue price of 8.66 yuan, the profit potential per lot is approximately 3,000 yuan to 26,000 yuan.
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Bank of America Market Survey: Majority of investors do not believe the AI bull market has peaked, with the rally set to continue in the second half of the year.
Bank of America (BofA)’s latest investor survey reveals market sentiment toward AI capital expenditure is growing more nuanced. Most investors do not think the AI spending boom has peaked, and still expect this wave of expenditure to continue in the second half of the year. At the same time, concerns are rising over hyperscalers’ excessive spending pace, debt pressure and credit risks. The survey shows investors are not broadly betting on the end of the AI cycle. Instead, the market still believes large platforms including Microsoft, Amazon, Alphabet and Meta will keep expanding investments in data centers, GPUs and power infrastructure. The problem is that the pace of capital expenditure growth has become so fast that some investors are starting to worry about free cash flow, share repurchase capacity and balance sheet flexibility. Per BofA’s survey methodology, AI has evolved from a pure growth story to a capital discipline issue. Over the past two years, the market rewarded companies for heavy AI investments; now, investors are starting to question the return periods of these investments, depreciation pressures, and whether cloud providers will be forced into overbuilding amid competition.
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