#比特币对比代币化黄金 kept chasing the highs and ended up getting trapped—that’s a classic case of blindly going long. Going against a strong counterparty basically means you're putting your own capital at risk. $BTC No matter how volatile mainstream coins like $ETH get, you need to know when to cut your losses. Don’t wait until you’re liquidated to regret it. The counterparty always understands the market rhythm better than you do; your stop-loss level is their target price.

BTC-2.13%
ETH-4.48%
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MEVSandwichvip
· 1h ago
Brothers who bought high and got trapped, it's time to wake up. Don't wrestle with the market makers anymore.
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SatoshiSherpavip
· 12-09 11:42
Chasing highs and getting stuck is your own doing... You should have set a stop-loss earlier; it's too late to cry about it now.
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MemeEchoervip
· 12-08 15:20
Getting trapped by buying at the top isn’t unfair—it’s simply greed, to put it bluntly. The counterparty’s stop-loss position is indeed the target price, which makes this strategy pretty ingenious.
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GateUser-beba108dvip
· 12-08 15:15
Getting trapped by chasing the highs—frankly, you have only yourself to blame. You insist on going against the big players.
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VCsSuckMyLiquidityvip
· 12-08 15:07
Getting trapped after chasing the high is really something else; should have listened to others' advice.
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DefiPlaybookvip
· 12-08 15:04
According to on-chain data, retail investors who buy at the top tend to cluster their stop-loss positions in the 8-12% range below previous highs, which is exactly where large capital sets up short positions. The analysis is as follows: First, from the perspective of exchange capital flows, retail investors tend to FOMO in 2-3 cycles later than professional institutions. Second, it's worth noting that in $BTC 's historical pullbacks, in 82% of cases, a rebound only started after hitting the area with dense retail stop-losses... So, you may think you're cutting your losses, but in reality, you're providing liquidity for the whales. That's why people say "the stop-loss level = the counterparty's target price," and historical data does support this.
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