#链上资产管理 The position data from Trend Research has just been corrected, adjusting from the previously rumored 628k ETH to 580k ETH. This correction is quite interesting — the exclusion of addresses starting with 0x9f indicates that on-chain tracking requires more cautious verification of address ownership.
580,000 ETH at current prices is approximately over 20 billion USD in market value. The movements of such large holdings are significant for market liquidity and price expectations. The key is to observe the on-chain behavior of these six addresses establishing positions — whether their holdings remain stable or show signs of reduction, how frequently they transfer funds, etc. These factors can reflect the actual stance of institutions.
The topic of data transparency is worth noting. While on-chain information is public, the attribution of addresses often involves gray areas. Investment research decisions should not rely solely on a single source of on-chain data; cross-verifying information from different institutions and channels can reduce the risk of misjudgment.
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#链上资产管理 The position data from Trend Research has just been corrected, adjusting from the previously rumored 628k ETH to 580k ETH. This correction is quite interesting — the exclusion of addresses starting with 0x9f indicates that on-chain tracking requires more cautious verification of address ownership.
580,000 ETH at current prices is approximately over 20 billion USD in market value. The movements of such large holdings are significant for market liquidity and price expectations. The key is to observe the on-chain behavior of these six addresses establishing positions — whether their holdings remain stable or show signs of reduction, how frequently they transfer funds, etc. These factors can reflect the actual stance of institutions.
The topic of data transparency is worth noting. While on-chain information is public, the attribution of addresses often involves gray areas. Investment research decisions should not rely solely on a single source of on-chain data; cross-verifying information from different institutions and channels can reduce the risk of misjudgment.