「Fed Whisperer」: The Fed's internal 'unity' is no more, ushering in an era of division

By: theblockbeats.news|2025/07/10 02:22:03

BlockBeats News, July 10th, The Wall Street Journal reporter Nick Timiraos, known as the "Fed Whisperer," wrote that there is an internal debate within the Federal Reserve on how to address the risks posed by Trump's tariffs. This may mark the end of a relatively united period, with officials potentially divided on whether the new cost growth should be a reason to maintain high interest rates.

In recent weeks, Federal Reserve Chairman Powell has hinted that the threshold for rate cuts may be lower than it appeared in the spring, but no rate cut is expected this month. Instead, Powell has outlined a "middle path": if inflation data falls below expectations or the labor market shows slight weakness, this may be enough to prompt the Fed to start cutting rates before the end of the summer. This standard is lower than the previously stricter threshold—when faced with a significant tariff hike that triggered high inflation expectations on a larger scale, the Fed may have required more obvious signs of economic deterioration to consider a rate cut.

Trump's announced tariff hike in April exceeded expectations, raising concerns about economic growth slowdown and stagflation, disrupting the Fed's plans to resume rate cuts this year. However, since then, two developments have sparked a possible shift. First, Trump has reduced some of the most extreme tariff hikes; second, the consumer price increases associated with tariffs have not materialized. This has provided a key test for the theory of competitive inflation arising from tariffs and has led to internal disagreements on how to manage forecasting errors. (FXStreet)

AI trading is already core market infrastructure, but regulators still treat it as a tool — responsibility always stays with the humans and platforms behind it. The biggest risk in 2025 is not rogue algorithms, but mass-adopted AI strategies that move markets in sync and blur the line between tools and unlicensed advice. The next phase of AI trading is defined by accountability and transparency, not performance — compliance is now a survival requirement, not a constraint.

Twitter 上的「虚假流量」是指通过操纵关注者数量、喜欢和转发等指标来人为增加一条推文的影响力和可信度。下面是一些常见的制造虚假流量的方法： 1. 购买关注者： 一些用户会通过购买关注者来迅速增加他们的关注者数量，从而让他们的账号看起来更受欢迎。 2. 使用机器人账号： 制造虚假流量的另一种常见方法是使用机器人账号自动执行喜欢、转发和评论等互动操作，从而提高一条推文的互动量。 3. 推文交换： 一些用户之间会进行推文交换，即互相喜欢、转发对方的推文...

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Twitter 上的「虚假流量」是指通过操纵关注者数量、喜欢和转发等指标来人为增加一条推文的影响力和可信度。下面是一些常见的制造虚假流量的方法： 1. 购买关注者： 一些用户会通过购买关注者来迅速增加他们的关注者数量，从而让他们的账号看起来更受欢迎。 2. 使用机器人账号： 制造虚假流量的另一种常见方法是使用机器人账号自动执行喜欢、转发和评论等互动操作，从而提高一条推文的互动量。 3. 推文交换： 一些用户之间会进行推文交换，即互相喜欢、转发对方的推文...

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Facing Losses: A Trader’s Journey to Redemption

Key Takeaways Emotional reactions to trading losses, such as increasing risks or exiting the market entirely, often reflect…