U.S. June Seasonally Adjusted CPI Rate (Seasonally Adjusted Consumer Price Index Rate): CPI reflects changes in the prices of consumer goods and services, and the seasonal adjustment eliminates seasonal factors. 2.4%, 2.7% may be reference data such as previous values; this indicator is not published, but it is a key basis for observing inflation levels and the Federal Reserve's monetary policy (such as interest rate hikes or cuts). High inflation may drive rate hikes to curb inflation. U.S. June Seasonally Adjusted CPI Monthly Rate: Focus on the month-on-month change in June CPI, with 0.10%, 0.30% as references, reflecting the overall price rise and fall for the month, influencing judgments on short-term inflation trends and changes in household consumption costs. U.S. June Seasonally Adjusted Core CPI Monthly Rate: Core CPI excludes food and energy (which have large price volatility), thus reflecting the underlying inflation trend more accurately. 0.10%, 0.30% are references, and this has a significant impact on Federal Reserve policy-making as it reflects more stable price pressures. U.S. June Seasonally Adjusted Core CPI Yearly Rate: Reflects the annual change in core CPI, with 2.8%, 3.00% as references, showcasing the long-term core inflation trend, which is an important indicator for assessing whether the economy is overheating and whether inflation is persistent. U.S. July New York Fed Manufacturing Index: Reflects the state of manufacturing activity in the New York region, with -16, -9 as references; a large negative index value indicates manufacturing contraction and low economic activity, serving as a leading indicator for observing the U.S. manufacturing cycle and economic fundamentals. Weak manufacturing may drag down overall economic performance.
When these indicators are not published, the market will trade based on expectations, and if the published data significantly differs from expectations, it will trigger fluctuations in the financial markets (such as U.S. stocks, U.S. bonds, U.S. dollar exchange rates) and affect expectations for economic policies.
