Core Insights - The article emphasizes the increasing value of data in constructing investment strategies, highlighting the growing demand for high-quality data in the market [1] - It introduces a series of "Data Insights" articles by Bloomberg's quantitative and data science team, aimed at financial professionals to effectively utilize data for investment logic, asset tracking, and scenario analysis [1] - The report covers a wide range of topics including inflation and pricing pressures, supply chain dynamics, environmental risks and opportunities, and key events impacting market trends [1] Inflation and Pricing Pressure - The analysis of consumer transaction data provides insights into company performance and consumer trends, allowing analysts to track important revenue and key performance indicators (KPIs) across industries [10] - The consumer transaction data can be aggregated to monitor industry trends, particularly in the essential consumer goods sector, revealing a year-over-year growth rate that leads the U.S. core CPI index by three months [10][11] Supply Chain Dynamics - The integration of financial data with supply chain data is crucial for identifying industry-level risks and opportunities, as demonstrated by the analysis of the European automotive sector [13] - The study indicates that the declining sales momentum of European car manufacturers was evident in the performance of their suppliers, highlighting the predictive value of combining financial and supply chain information [13][14] Market-Driven Events - The article discusses the impact of AI cost reductions on companies, particularly through the analysis of stock pricing data around the launch of the DeepSeek platform [7] - A list of the top 10 technology companies affected by the DeepSeek announcement is provided, with notable mentions including NVIDIA, which has a market cap of $2,857 billion and experienced a maximum drawdown of 24% [8]

Group 1 - The core viewpoint is that supply chain data provides a clearer indication of the trend of inflation decline compared to the more volatile wage data [1]