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A whale that netted $3.7 million from swing trading Ethereum (ETH) is chasing the rally again, adding 7,567 ETH to its holdings.

54 minutes ago

According to EmberCN’s monitoring, a crypto whale that sold ETH in August for an approximate profit of $3.7 million has repurchased ETH today. Over the past hour, the whale transferred $40 million in USDC to Binance, and has since withdrawn 7,567 ETH worth roughly $20 million from the exchange. The whale has repeatedly executed ETH trades on the 21st of each month: it bought $21 million worth of ETH on July 21, sold ETH on August 21 to pocket ~$3.7 million in profit, and repurchased ETH again on September 21.

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China-US economic and trade consultations were held in New York, USA.

According to Xinhua News Agency, local time on September 20, He Lifeng, China’s lead negotiator for China-US economic and trade talks and Vice Premier of the State Council, held economic and trade consultations in New York with US counterparts: US Treasury Secretary Bessent and Trade Representative Greer. Guided by the important consensus of the two heads of state, and adhering to the principles of mutual respect, peaceful coexistence and win-win cooperation, the two sides held candid, in-depth and constructive exchanges on major economic and trade issues of common concern, including implementing the consensus from previous rounds of economic and trade consultations and promoting bilateral trade and investment, and also held a dialogue on artificial intelligence-related issues.

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Strategy’s unrealized profit from its Bitcoin holdings rises to $5.02 billion.

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Bitcoin briefly fell below $81,000.

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AI Risks Penetrate Multiple Asset Classes, Leaving Pension Funds and Sovereign Wealth Funds Grappling With How to Avoid AI-Related Risks

Beating AI Express (from Dongcha) reports that the AI wave is disrupting the traditional asset diversification logic of pension funds and sovereign wealth funds, with risks spreading from tech stocks to private equity, corporate bonds, infrastructure and other sectors, prompting institutional investors to reassess their overall portfolio AI exposure. Goldman Sachs estimates that AI infrastructure-related companies account for around 40% of the total market capitalization of the S&P 500. Apollo data shows that this year, AI-related issuances make up nearly half of investment-grade bond issuance and 87% of venture capital funding. Monte Tarbox, chief investment officer of the New York City Retirement Systems, recently even rejected a private equity fund’s capital-raising request due to its overexposure to AI holdings. A key challenge facing institutions now is the lack of a unified standard for measuring AI exposure. The Los Angeles County Employees Retirement Association (LACERA) estimates that 8% to 19% of its holdings are AI-related. Invesco’s survey of 90 sovereign wealth funds found that more than half list market concentration as the top risk of AI investments. To address AI risks, some large institutions are adopting the "Total Portfolio Approach (TPA)", breaking down barriers between asset classes such as stocks, bonds, private equity and infrastructure to track overall AI-related exposure and inter-asset correlations. At the same time, some institutions are using AI tools to monitor their own portfolios, avoiding excessive concentration risks while chasing AI gains.

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Swing trader 0x4cee, who sold 10,500 $ETH ($23.64M) at an average price of $2,252 a month ago for a $3.66M profit, ju...

Swing trader 0x4cee, who sold 10,500 $ETH ($23.64M) at an average price of $2,252 a month ago for a $3.66M profit, just bought back 7,567 $ETH ($19.93M) at a higher price 2 hours ago!

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Zhipu ZCode is officially open-sourced, with its official stating that it has completed security rectification and passed audits conducted by two institutions.

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