Found a suspicious token on Solana that's raising red flags on DEXScreener. The activity patterns look fishy—here's what the data shows:
24-hour trading metrics are interesting: buy volume hitting $1.25M while sell volume sits at $1.19M. Liquidity pool is sitting at just $107k against a market cap of $1.16M. That ratio between liquidity and market cap worth paying attention to.
The volume imbalance and thin liquidity could indicate pump-and-dump mechanics or coordinated trading activity. Worth doing your own research before touching this one. Always cross-check metrics across multiple sources when you spot these kinds of patterns.
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BearMarketBro
· 5h ago
With such thin liquidity and a small difference between buy/sell, it's definitely a pump-and-dump scheme. I've seen this kind many times.
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RetiredMiner
· 12h ago
Another thing waiting to be exploited for quick gains. With such thin liquidity, how dare they launch it? Passing directly.
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MEVSandwichMaker
· 12h ago
It's the same old trick again. With liquidity so thin, you should have already run. This kind of market crashes as soon as you touch it.
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TokenUnlocker
· 12h ago
Another garbage coin with extremely low liquidity. I've seen this kind of ratio many times before... better to be cautious.
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GasGuzzler
· 12h ago
It's another one of these low-liquidity trash coins. It's obvious they're trying to scam... The trading volume is only about 600,000, but the liquidity is just 107k. The ratio is ridiculously off the charts.
Found a suspicious token on Solana that's raising red flags on DEXScreener. The activity patterns look fishy—here's what the data shows:
24-hour trading metrics are interesting: buy volume hitting $1.25M while sell volume sits at $1.19M. Liquidity pool is sitting at just $107k against a market cap of $1.16M. That ratio between liquidity and market cap worth paying attention to.
The volume imbalance and thin liquidity could indicate pump-and-dump mechanics or coordinated trading activity. Worth doing your own research before touching this one. Always cross-check metrics across multiple sources when you spot these kinds of patterns.