Market Update: Economic Calendar and Nvidia Earnings
Key Economic Data Releases
On August 26, 2026, the economic calendar is packed with significant data releases that are expected to influence market volatility, particularly in the EUR/USD currency pair and the bond market. The focus will be on the U.S. Personal Consumption Expenditures (PCE) data for July, which is the Federal Reserve's preferred measure of inflation. The anticipated release times are as follows:
- 1:30 PM GMT: U.S. PCE Price Index Year-over-Year (forecast: 3.6%, previous: 3.7%)
- 1:30 PM GMT: U.S. Core PCE Price Index Year-over-Year (forecast: 3.3%, previous: 3.3%)
- 1:30 PM GMT: U.S. Consumer Spending Month-over-Month (forecast: 0.1%, previous: 0.3%)
- 1:30 PM GMT: U.S. Personal Income Month-over-Month (forecast: 0.2%, previous: 0.2%)
- 3:30 PM GMT: EIA Crude Oil Inventories (forecast: +1.58 million barrels)
These data points are crucial as they may lead to increased market volatility, especially in the forex and bond markets.
Nvidia Earnings Report
In addition to the economic data, Nvidia is set to report its fiscal Q2 2027 earnings after the U.S. market close. This report is particularly significant as it marks the conclusion of the U.S. earnings season and serves as a critical indicator for the ongoing AI market rally. Analysts expect Nvidia to report revenues between $93 billion and $95 billion, reflecting a year-over-year growth of nearly 96%. The earnings per share (EPS) consensus is projected to be around $2.05 to $2.10.
Key areas of focus for investors will include:
- Data center revenue performance
- The ramp-up pace of the Blackwell architecture
- Guidance for the upcoming quarter
- Gross margins, which have been high at approximately 78% in recent quarters
Given the elevated expectations surrounding Nvidia, merely meeting the consensus may not be sufficient to maintain the stock's upward trajectory. The earnings call will also be critical, as management's insights could provide valuable information regarding future spending trends among hyperscalers and the demand for AI infrastructure.