#数字资产市场动态 Retail investors cut losses while whales scoop up bargains
Recently, I’ve been monitoring on-chain data and found an interesting move. A large account sold nearly 800,000 UNI at the $5.33 level five days ago, netting $4.26 million. Fast forward to today, after a market dip, they bought back 757,000 UNI at the $4.83 level, spending only $3.66 million.
With the same amount of tokens, they spent $600,000 less in the two operations — this detail is very important.
This isn’t a panic liquidation or a run-away scenario. After selling, they just wait there, not going far. When the market panics and prices drop, they immediately buy the dip. Their actions are swift, decisive, as if they had pre-planned the timing. This is a classic example of wave-based cost averaging — selling at highs, buying at lows, using the same capital to leverage more tokens, further lowering the average cost.
What does this tell us? With such large funds and bold moves, daring to re-enter during market panic, it’s definitely not just for a short-term rebound. The real goal is to accumulate cheap tokens in this price range, laying the foundation for the next market move.
On-chain data never lies; it records real money decisions. Every time the market hits a bottom, retail investors tend to sell in fear at a loss, while smart money quietly accumulates. History repeatedly proves this logic.
So there’s no need to be overly nervous. This whale’s move offers valuable insight — at least it shows that big funds still believe in this range. The rebound energy is building at the bottom, so don’t be too quick to turn bearish.
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ForumMiningMaster
· 1h ago
A $600,000 difference, now that's what I call professional operation. Retail investors like us struggle even to see the market clearly.
This wave of the whale is truly textbook-level swing trading—selling at highs and buying at lows, maximizing capital utilization. I just want to know how this guy is timing his moves.
That's why on-chain data is so important—things that can't be lied about. Real gold and silver choices won't deceive you.
My question is, at this price level, can I still get in, or do I have to wait for him to make another move before there's a chance?
But on the other hand, the courage to wait for market panic to strike again before taking action—retail investors really can't learn that.
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ZeroRushCaptain
· 11h ago
Damn, it's the same old trick again. I'm just wondering, how come retail investors always manage to sell at the lowest point...
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WinterWarmthCat
· 11h ago
It's the same story again. I'm tired of seeing big investors reduce costs through swings. The question is, when will we retail investors be able to afford this $600,000?
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GasWaster
· 11h ago
Oh my god, $600,000 USD, this wave of sniping is amazing
Big players are big players, while we're panicking to death, they're counting money
I understand the logic, but I don't have that much money to play swings
The UNI range is indeed a bit interesting, let's wait and see
Alright, for now, no cutting losses, trusting a whale wave
Retail investors cry in the bathroom, big players laugh into new houses
This is called information gap and capital difference, we can't play
On-chain data can't be fooled, I agree with that
But to be honest, I really can't tell when the bottom is
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RugPullProphet
· 11h ago
Saving 600,000 USD, I need to learn this technique, but I wonder if I have the guts to do it.
Retail investors are scared out of their wits, but they are still precisely bottom-fishing. Truly impressive.
Wait... does this big player know some information in advance? How come their timing is so accurate?
I just want to know, when will it be our turn as small retail investors to make money so steadily?
Hold on, what does this swing trading indicate? Has the bottom really arrived, or is it just another trap?
Big players don't run, so I won't panic either. Just hold on.
On-chain data doesn't lie—I've heard this countless times, but I still got cut several times.
#数字资产市场动态 Retail investors cut losses while whales scoop up bargains
Recently, I’ve been monitoring on-chain data and found an interesting move. A large account sold nearly 800,000 UNI at the $5.33 level five days ago, netting $4.26 million. Fast forward to today, after a market dip, they bought back 757,000 UNI at the $4.83 level, spending only $3.66 million.
With the same amount of tokens, they spent $600,000 less in the two operations — this detail is very important.
This isn’t a panic liquidation or a run-away scenario. After selling, they just wait there, not going far. When the market panics and prices drop, they immediately buy the dip. Their actions are swift, decisive, as if they had pre-planned the timing. This is a classic example of wave-based cost averaging — selling at highs, buying at lows, using the same capital to leverage more tokens, further lowering the average cost.
What does this tell us? With such large funds and bold moves, daring to re-enter during market panic, it’s definitely not just for a short-term rebound. The real goal is to accumulate cheap tokens in this price range, laying the foundation for the next market move.
On-chain data never lies; it records real money decisions. Every time the market hits a bottom, retail investors tend to sell in fear at a loss, while smart money quietly accumulates. History repeatedly proves this logic.
So there’s no need to be overly nervous. This whale’s move offers valuable insight — at least it shows that big funds still believe in this range. The rebound energy is building at the bottom, so don’t be too quick to turn bearish.