In the upcoming week, several important economic indicators in the United States are set to be released. This data will not only dominate the short-term trends of the US stock market but may also have a profound impact on the breakthrough rise of Ethereum (ETH). Recently, the correlation between the risk appetite of the crypto assets market and the US stock market has become increasingly evident, making it worthy of close attention from investors.

Two key data points will be released on Thursday that will significantly impact risk appetite for U.S. stocks: first, the initial claims for unemployment benefits in the U.S., which serve as a real-time indicator of labor market heat and directly reflect economic resilience; secondly, the revision of the U.S. second-quarter GDP, which serves as a secondary confirmation of economic growth, and deviations from market expectations may trigger market volatility.

Friday's data is viewed as a barometer for Federal Reserve policy: the U.S. core PCE price index is the inflation indicator most closely monitored by the Fed, directly influencing its subsequent policy direction; at the same time, the U.S. consumer confidence index and inflation expectations reflect residents' willingness to consume and future inflation trends, collectively determining the flow of funds.

These data affect the US stock market, which in turn influences the trend of ETH. If the data performs well, the sentiment in the US stock market will improve, and market risk appetite will rise, which may support ETH and allow it to potentially break new highs and stabilize. Conversely, if the data falls short of expectations, the US stock market could face adjustment pressure, and ETH may also come under pressure, making it more difficult to break through.

For Crypto Assets investors, closely following these economic data not only helps grasp the short-term trends of ETH but also better understand the impact of the macroeconomic environment on the digital asset market. In the current context of increasing global economic uncertainty, this data-driven analytical approach is particularly important.