#数字资产动态追踪 Today, a friend asked me—why did the coin price suddenly drop? I just laughed after hearing it.



Look, the price keeps falling, but what’s the result? The number of addresses holding coins is actually increasing, and quite a bit. Is this normal? Think about it from the other side—what’s really going on behind the scenes?

Smart people should be able to sense some clues.
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BrokeBeansvip
· 8h ago
Dumping to absorb the chips, what else can be done? It's the old trick, watching it fall with tears, but actually they're just eating up the supply.
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CexIsBadvip
· 8h ago
Price drops, address rises. Isn't this just whales accumulating? Retail investors are still panicking and selling.
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LayerZeroJunkievip
· 8h ago
Price drops, address rises. Isn't this just the old whale accumulating? Same old trick.
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PrivacyMaximalistvip
· 8h ago
Prices are falling, but the addresses holding the coins are increasing? Isn't this just whales accumulating at low levels? The smart money has long seen through it.
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VibesOverChartsvip
· 8h ago
Buy low and accumulate, what else can we do? The smart money has already been laying in wait.
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MercilessHalalvip
· 8h ago
When the coin price drops, some people start buying the dip and accumulating coins. Isn't this just shifting the chips? The real show hasn't even started yet.
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BlockchainDecodervip
· 8h ago
From a technical perspective, this phenomenon is worth in-depth analysis—price declines but the number of holding addresses increases, which indeed presents a contradiction in the on-chain data logic. Research indicates that this often points to two directions: either institutions are accumulating on dips, or retail investors are panic-buying. However, I personally lean towards the former, because based on the slope of the address growth curve, this seems more like an organized action rather than scattered behavior. But it is important to be cautious: an increase in holding addresses does not necessarily mean capital inflow; it could simply be address fragmentation. It is recommended to compare and analyze the long-term K-line with historical data before drawing conclusions.
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