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Wintermute: Two major catalysts land, BTC breaks range to create an eight-month high

Wintermute released the market weekly report, stating that the Federal Reserve passed an interest rate hike of 25 basis points to 3.75-4% with a unanimous vote of 12-0 on September 21. Sixteen officials expect at least one more rate hike this year, and inflation is not expected to return to the 2% target before 2029.The two major catalysts that the market was focused on—the FOMC rate hike and the CLARITY Act—have both materialized: the CLARITY Act failed to pass in the Senate (49-50, not reaching the 60-vote threshold), and the SEC and CFTC immediately stated they would formulate cryptocurrency regulatory rules under existing authority. The market adjusted for only one trading day before recovering. BTC traded this week in the range of $75,000 to $81,000, with a weekly closing price of $81,159, marking the first time since last November that it has stood above the 50-week moving average; ETH rose 6.7%, trading in the range of $2,350 to $2,600.In terms of ETF funds, there was a net outflow of $746 million from Tuesday to Wednesday, followed by a return of $593 million from Thursday to Friday, resulting in a net outflow of about $6 million over five trading days, with the outflow triggered by CLARITY almost fully replenished within 48 hours. Entering this week, both BTC and ETH broke through the upper range before the U.S. stock market opened, accompanied by about $250 million in short liquidations, with BTC briefly reaching $86,000, a new eight-month high.

first_img The Economist estimates that AI has created approximately 1 million jobs in the United States

The Economist estimates that AI has created about 1 million new jobs in the United States so far, far exceeding the approximately 200,000 jobs cut due to AI since mid-2023. This conclusion is based on the employment data for August released by the U.S. Bureau of Labor Statistics on September 4: the U.S. economy added 162,000 jobs, and the unemployment rate remained at 4.1%. The unemployment rate for young people aged 20-24 is now close to its lowest level in decades compared to the overall unemployment rate.Job growth mainly comes from high-skilled positions directly serving AI and blue-collar jobs driven by data center construction. Since 2022, about 730,000 jobs exceeding the trend line have been added for engineers, software developers, mathematicians, and data scientists. The chief economist at Burning Glass Institute estimates that currently about 1% of professional jobs in the U.S. can be classified as AI jobs, with that proportion reaching 4% to 5% in the fields of computer and life sciences. Spending on data center construction has increased by 60% within a year, leading to a rise in demand for electricians, HVAC technicians, and others. Data from Indeed shows that salaries for data center installation and maintenance jobs are about 40% higher than similar positions.Customer service positions have shrunk by about 10% since January 2023, and administrative assistants have decreased by about 15%. Microsoft and Meta have reduced staff while restructuring their businesses around AI, and companies like Block and Intuit have replaced some manual labor with automation tools. On average, U.S. companies announce about 16,000 layoffs related to AI each month. Economist Noah Smith points out that it is currently difficult to find occupations eliminated by AI in labor data.

NeoSoul launches the native Skill Builder for the Agent trading platform, allowing you to create trading strategies in one sentence

BSC and 0G ecosystem AI economic infrastructure project NeoSoul announced that its general intelligent trading workstation NeoTrade has launched the trading Skill Builder. Users only need to describe their trading ideas or trading styles in a conversation, and the system can generate the corresponding trading Skill, automatically completing the configuration and verification of strategy parameters such as time period, market focus, position, and order method.In the past, traders needed to turn their trading ideas into strategies that Agents could execute sustainably, which often required writing trading logic and setting parameters item by item. The Skill Builder centralizes the process into a conversation window, allowing users to describe their core trading ideas in natural language, and then gradually refine the strategy through continuous dialogue. During the conversation, NeoTrade will configure specific conditions based on user requirements and write each modification in real-time into the Skill. Once the strategy is complete, the system will automatically perform parameter verification, and the generated Skill can be saved and reused.Kaelan, co-founder of NeoSoul, stated that turning trading judgments into rules that Agents can execute has always been one of the most time-consuming steps in creating trading Agents. The Skill Builder incorporates this step into a single conversation, where users first clarify how they want to trade, and the system is responsible for completing the structuring, parameter configuration, and verification.
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