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HashKey Capital Secures $250M for New Multi-Strategy Crypto Fund
Coinpedia·2025/12/24 19:30

Why Ethereum (ETH) Price Is Likely to Consolidate Between $3,000 and $3,200 in Early 2026
Coinpedia·2025/12/24 19:30

Bitcoin’s Christmas blues – Why BTC’s Santa rally can be cancelled
AMBCrypto·2025/12/24 19:03
Market Panic or Contrarian Signal? Strategy’s 65% Slide Stokes Bitcoin Debate
BlockchainReporter·2025/12/24 19:00
Navigate Crypto’s Twists and Turns with Real-Time Insights
Cointurk·2025/12/24 18:21

Ethereum – Why $69B remains locked in DeFi despite weak ETH prices
AMBCrypto·2025/12/24 18:03
Cryptocurrency Market Adapts to Strategic Thinking for 2025
Cointurk·2025/12/24 17:51
Crypto Gainers – PIPPIN Up 25%, Canton 6% as AI and RWAs Drive Market
BlockchainReporter·2025/12/24 17:00
Bitcoiners waiting for a “Bukele moment” in Chile are ignoring a $229 billion signal that matters more
CryptoSlate·2025/12/24 16:12

Global liquidity hits $157T – But the crypto market remains cautious
AMBCrypto·2025/12/24 16:03
Flash
00:53
SemiAnalysis: Memory's Share of Cloud Provider Capex to Exceed 40%, Market Not Fully Pricing In BlockBeats News, July 4th, Semiconductor and AI research firm SemiAnalysis published an article pointing out that the proportion of memory in the capital expenditure of hyperscale cloud vendors is becoming a hot topic in the market. This especially gained attention after Micron's earnings report last week, with some market participants shocked by the high memory spending ratio expected next year. SemiAnalysis first proposed in February this year that memory spending would account for about 30% of cloud vendor capital expenditure. At that time, most clients questioned this number, as memory typically only accounts for low double-digit percentages of a server's BOM. In May, as memory prices rose faster than expected, SemiAnalysis further responded: by aggregating DRAM, NAND, and HBM, Nvidia's memory spending in systems will exceed 30% by the end of 2026 and further rise to over 40% in 2027.
SemiAnalysis predicts that the market's understanding of this structural change will gradually deepen in the coming months. This implies that amidst the continuous expansion of AI capital expenditure, the memory segment is transitioning from a "secondary" cost in server expenses to the "single largest cost item," with its impact on memory manufacturers' pricing power and profit margins not yet fully priced in.
00:42
Ethereum Whale Trader "sat0shi777" Acknowledges Defeat and Covers Short, Taking a $9.386 million Loss BlockBeats News, July 4th, according to HyperInsight monitoring, during the recent rebound of Ethereum that fueled the surge, an on-chain whale trader named "sat0shi777" recognized the loss and closed their short position. Previously, the whale held a total of $90 million worth of Ethereum shorts, which, after four partial liquidations, amounted to $38 million. Today, the whale has closed the final position, resulting in a $9.386 million loss.
The account had previously netted a total profit of $6.75 million but is now at a loss of over $2.3 million. "sat0shi777" had conducted over 100 trades with a win rate of 90%. However, this $90 million short position on ETH has wiped out all the previous gains.
00:40
Data: A major whale closed an ETH short position with a loss of $9.38 million, turning overall profit into a loss.According to ChainCatcher and monitored by Onchain Lens, the whale “0x50b” has closed its Ethereum short position, incurring a loss of 9.386 million US dollars in this trade. The whale’s total profit dropped from 6.6 million US dollars to a loss of 2.3 million US dollars. Currently, this whale still holds a 20x leveraged long position of 228.7 Bitcoin.
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