onchaindatapyth
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Article 3 — #ETHWhaleWatch
ETH Whale Watch : que font vraiment les baleines Ethereum ?
Les baleines Ethereum (wallets détenant de grandes quantités d’ETH) sont de nouveau sous surveillance. Leurs mouvements influencent souvent le sentiment du marché.
🔍 Ce que l’on observe généralement :
Transferts vers les exchanges → possible pression vendeuse
Accumulation hors exchange → confiance long terme
Mouvements massifs → anticipation d’événements majeurs
Cependant, suivre les baleines ne signifie pas les copier. Elles ont des stratégies, des horizons et des capitaux très différents des particuliers.
👉 Conclusion : Whale Watch est un indicateur intéressant, mais jamais un signal unique.
#ETHWhaleWatch #Ethereum #CryptoAnalysis #OnchainDataPyth
ETH Whale Watch : que font vraiment les baleines Ethereum ?
Les baleines Ethereum (wallets détenant de grandes quantités d’ETH) sont de nouveau sous surveillance. Leurs mouvements influencent souvent le sentiment du marché.
🔍 Ce que l’on observe généralement :
Transferts vers les exchanges → possible pression vendeuse
Accumulation hors exchange → confiance long terme
Mouvements massifs → anticipation d’événements majeurs
Cependant, suivre les baleines ne signifie pas les copier. Elles ont des stratégies, des horizons et des capitaux très différents des particuliers.
👉 Conclusion : Whale Watch est un indicateur intéressant, mais jamais un signal unique.
#ETHWhaleWatch #Ethereum #CryptoAnalysis #OnchainDataPyth
ترجمة
U.S. GDP Goes Onchain with Pyth and CommerceGov Partnership
The U.S. government is taking a landmark step by leveraging blockchain technology for economic data innovation. Pyth Network recently reached a milestone working with the U.S. Department of Commerce (@CommerceGov) to verify and distribute U.S. GDP and other economic data onchain.
Pyth’s collaboration marks one of the first instances of official economic indicators being recorded and shared on a blockchain.This move reflects growing institutional confidence in blockchain as a tool for data transparency, security, and accessibility.
Mike James, Head of Institutional Business Development at Pyth, said this partnership signals a new era for America's data infrastructure — making it more open and verifiable to market participants.The integration supports ecosystem innovation by offering real-time, tamper-resistant economic data that can empower DeFi platforms and financial systems built on blockchain.
Mike James talk to TakingStockLive “The signal is that the U.S. government is viewing and looking at blockchain technology as a tool for economic innovation in this country. That’s not just a win for Pyth, that’s a win for the broader financial system, and a step in the right direction toward making America’s data infrastructure open, transparent, and accessible.”
#OnchainDataPyth
$PYTH
The U.S. government is taking a landmark step by leveraging blockchain technology for economic data innovation. Pyth Network recently reached a milestone working with the U.S. Department of Commerce (@CommerceGov) to verify and distribute U.S. GDP and other economic data onchain.
Pyth’s collaboration marks one of the first instances of official economic indicators being recorded and shared on a blockchain.This move reflects growing institutional confidence in blockchain as a tool for data transparency, security, and accessibility.
Mike James, Head of Institutional Business Development at Pyth, said this partnership signals a new era for America's data infrastructure — making it more open and verifiable to market participants.The integration supports ecosystem innovation by offering real-time, tamper-resistant economic data that can empower DeFi platforms and financial systems built on blockchain.
Mike James talk to TakingStockLive “The signal is that the U.S. government is viewing and looking at blockchain technology as a tool for economic innovation in this country. That’s not just a win for Pyth, that’s a win for the broader financial system, and a step in the right direction toward making America’s data infrastructure open, transparent, and accessible.”
#OnchainDataPyth
$PYTH
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