A whale bought 10,501 ETH at an average price of $1,904.
According to on-chain analyst Yu Jin’s monitoring, a crypto whale transferred 20 million USDC to Binance, then purchased 10,501 ETH at an average price of $1,904, and withdrew all of the ETH to an on-chain wallet.
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Polymarket flagged roughly $200 million worth of trades as potential insider trading in the first half of the year.
According to Bloomberg, as prediction markets like Polymarket and Kalshi expand, issues of betting using non-public information or informational advantages are coming under increased scrutiny. Bloomberg Businessweek analyzed roughly 34,000 potential insider trades flagged by Polysights between August 2025 and June 2026. The flagged transactions are characterized by new accounts, low-probability entries, large bets, or high trade concentration, though this does not confirm rule violations by traders. Data shows that from January 1 to June 30 this year, the total value of suspicious transactions flagged on Polymarket reached around $200 million, with abnormal trading volumes rising sharply driven by geopolitical and war-related markets. Profits from potential insider trading are highly concentrated: the top 1% of profit-generating accounts earned more than half of all gains, and 57% of related wallets were created less than 24 hours before the trades. Some traders are using multiple linked wallets and splitting orders to reduce detection risk. For example, 38 linked addresses placed bets on 90 geopolitical markets related to Iran and Venezuela, boasting a 98% win rate, totaling $1.6 million in profits, and withdrawing funds via the same Coinbase deposit address. Polymarket states it monitors insider trading and other illegal activities, and has so far turned over nearly 100 wallets to law enforcement agencies. Kalshi has also strengthened reviews of identity and employment information, and restricted individuals who may influence outcomes such as political candidates and athletes from participating in related markets.
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The hidden debt of the five major U.S. tech giants has surged to 1.65 trillion U.S. dollars.
A Nikkei News study reveals that amid a surge in artificial intelligence (AI) investments, the hidden debt of U.S. tech giants has surged eightfold over the past four years to an estimated $1.65 trillion. This figure exceeds their actual on-book debt, making it more difficult for investors to assess related risks. The outlet analyzed recent financial statements and other materials from Google parent Alphabet, Microsoft, Amazon, Meta, and Oracle. Among these firms, Meta’s off-balance-sheet debt is particularly high, at around $420 billion—nearly triple its recorded on-book debt.
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Serenity: Positive factors including news of Kimi’s computing power shortage and new contracts have driven a strong rebound in AI cloud and data center stocks.
Serenity noted in a report that stocks related to AI cloud and data centers have rebounded sharply. IREN rose 19.69% after the company raised its annual recurring revenue target to over $4 billion following the signing of a new AI cloud services contract; its current clients include Microsoft, NVIDIA, Perplexity, and Figure. Hut 8 (HUT) gained 10.45% after signing a 15-year, $9.8 billion AI data center lease agreement. Cipher Mining (CIFR) climbed 16.76%, CleanSpark (CLSK) advanced 13.7%, and WhiteFiber (WYFI) added 9.18%. In contrast, Nebius (NBIS) and CoreWeave (CRWV) have not seen significant gains so far. Serenity believes that driven by catalysts including news of Kimi’s computing power shortage and new contracts, emerging AI cloud service providers and data center hosting firms are witnessing a clear recovery.
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South Korea’s KOSPI index has a volatility of over 60%, higher than Bitcoin’s, and leveraged ETFs further amplify the index’s price fluctuations.
According to Bloomberg, South Korea’s KOSPI index has posted a volatility of over 60% this year, nearly twice that of Japan’s Nikkei 225 index and even higher than Bitcoin’s. South Korean exchanges have triggered circuit breakers seven times so far this year through mid-July, compared to zero times in 2025 and just once in 2024. Samsung Electronics and SK Hynix together hold over 50% of the KOSPI index’s weighting, making index funds largely a concentrated bet on AI chip performance. When the KOSPI hit an all-time high at the end of June, over 650 of its 831 constituent stocks still fell, underscoring the index’s heavy reliance on a small group of large chip stocks. South Korea’s leveraged ETFs have also expanded rapidly. Goldman Sachs data shows assets of South Korean leveraged ETFs tracking indices and individual stocks have surged from $5 billion at the start of the year to over $40 billion. These products, along with Samsung Electronics and SK Hynix, account for over 70% of South Korea’s daily stock trading volume, further amplifying price volatility. South Korean regulators suspended the listing of new individual-stock leveraged products on July 16. This year, South Korean retail investors have poured more than 100 trillion won into KOSPI stocks, while foreign investors have net sold roughly $108 billion in the same period, including over $40 billion withdrawn from SK Hynix. Goldman Sachs flags leveraged ETFs as a major risk to closely monitor in South Korea’s current market.
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A crypto whale sets 10 major trading targets, posts details of his Bitcoin long position, and at one point notched unrealized profits exceeding $4.5 million.
A crypto contract whale, who "set 10 major goals first", has posted on social media about its Bitcoin trade: it went long on the leading cryptocurrency with 4x leverage, with unrealized profit once surpassing $4.5 million, delivering a 7.12% return on investment. Earlier, the whale noted in a post that recent trades have been dominated by short-term long positions, with no short positions opened so far. Currently, the risk-reward ratio for shorting Bitcoin is low, as the asset is relatively near its phased bottom. Its subsequent trend may gradually emerge and kick off a new upward rally, prompting the whale to avoid missing the potential entry signal. The current position may be held for medium and long term, but adjustments will still be made based on market conditions, and further short-term trading is not ruled out. Additionally, a large-scale correction in U.S. AI-related tech stocks over the next six months is not ruled out.
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