Market Overview - The U.S. government has ended its longest shutdown lasting 43 days, with President Trump signing a temporary funding bill, resulting in an estimated economic loss of approximately $1.5 trillion [1][2] - The International Monetary Fund (IMF) has observed signs of economic weakness in the U.S., predicting that the GDP growth rate for Q4 will be lower than the previously forecasted 1.9% due to the impact of the government shutdown [1][2] Economic Indicators - The U.S. Bureau of Labor Statistics was unable to release the October Consumer Price Index (CPI) report due to the government shutdown, with indications that the data may never be published [2] - The Federal Reserve officials have expressed differing views on monetary policy, with some advocating for caution regarding further rate cuts, while others believe it is too early to decide on December actions [2] Global Market Dynamics - The Dow Jones Industrial Average fell by 1.65% to 47,457.22 points, the S&P 500 dropped by 1.66% to 6,737.49 points, and the Nasdaq Composite decreased by 2.29% to 22,870.36 points [3] - U.S. Treasury yields increased across various maturities, with the 10-year yield rising by 5.18 basis points to 4.121% [3] Commodity Prices - COMEX gold futures decreased by 0.93% to $4,174.5 per ounce, while COMEX silver futures fell by 2.30% to $52.23 per ounce [4] - Crude oil prices saw a slight increase, with the main U.S. contract rising by 0.19% to $58.6 per barrel and Brent crude increasing by 0.29% to $62.89 per barrel [5] Currency Exchange Rates - The U.S. dollar index declined by 0.30% to 99.18, with the euro and British pound appreciating against the dollar [6]

Core Insights - The book "Data Capital" proposes a new framework for a fair data economy, exploring the capitalization of data across various sectors such as healthcare and finance, and aims to create a "smart economy" through trusted technology and artificial intelligence [1][4] Group 1: Data Cooperatives - The concept of a "data cooperative" is introduced to facilitate data sharing among citizens and enhance data innovation capabilities [4] - Establishing data property rights and sharing mechanisms can lead to the tokenization of data and its infrastructure, reshaping traditional banking and financial systems [4] Group 2: Economic Implications - The development of data algorithms and AI is expected to create new forms of economic participation, necessitating a more resilient social system [4] - The book emphasizes the risks and uncertainties in the new economic ecosystem, which directly challenges existing financial systems [4] Group 3: Digital Currency and Tokenization - The latter part of the book focuses on digital currency systems, tokenized financial ecosystems, stablecoins, and virtual asset trading networks, which are closely related to digital currencies [4] - The authors provide insights into the fundamental principles, roles, and future expectations of these digital currency-related topics, marking them as the most essential parts of the book [4]