Bitcoin (BTC), Ethereum (ETH), and 7 Altcoin Networks Selected for Economic Data
The US authorities has taken important steps towards distributing macroeconomic knowledge by way of blockchain, as US Commerce Secretary Howard Lutnick lately acknowledged that they might publish US GDP knowledge on the blockchain.
The US Division of Commerce launched a swift assault on this, saying immediately that macroeconomic knowledge will likely be transferred to many blockchain networks by way of oracle suppliers Chainlink and Pyth.
Chainlink acknowledged in its weblog publish that the information will likely be up to date month-to-month or quarterly.
The US Division of Commerce acknowledged in a press launch that the information will likely be distributed by Bitcoin (BTC), Ethereum (ETH), Solana (SOL), Tron (TRX), Stellar (XLM), Avalanche (AVAX), Arbitrum (ARB), Polygon (POL), and Optimism (OP).
In line with the assertion, GDP, Private Consumption Expenditure Index (PCE), and US Home Demand Energy knowledge will likely be securely transferred onto the blockchain utilizing Chainlink and Pyth oracles.
The ministry additionally added that it obtained help from Coinbase, Kraken, and Gemini exchanges in distributing the information.
The Commerce Division introduced immediately that it’s going to start publishing actual gross home product (GDP) knowledge on blockchain, beginning with knowledge from July 2025.
At this level, the ministry has revealed an official abstract of quarterly GDP knowledge for 2025 on the next 9 blockchains: Bitcoin, Ethereum, Solana, TRON, Stellar, Avalanche, Arbitrum One, Polygon PoS, and Optimism.
Knowledge was additionally additional disseminated by coordination with oracles Pyth and Chainlink.
Coinbase, Gemini, and Kraken exchanges facilitated the Ministry’s publication.”
The Division of Commerce lately acknowledged that it’s going to proceed to increase and innovate knowledge like GDP to incorporate different blockchains, oracle networks, and exchanges sooner or later.
*This isn’t funding recommendation.
