$ZKJ & $KOGE dumped over 80% in the last 24H – what really happened? $ZKJ and $KOGE currently in the top “Bad Sentiment” territory experienced violent drawdowns of 83% and 80% respectively over the last 24H. While on the surface this appears to be another case of poor tokenomics or sell pressure gone wrong, a closer look at the data suggests a coordinated liquidity exit across both ecosystems. Breakdown of Events According to “Latest Buzz” by Cookie Deep Research: → $ZKJ: “Crashed 83% as coordinated wallets drain $7M in liquidity.” → $KOGE: “KOGE crashes 80% as coordinated liquidity drain triggers panic sell-off” In both cases, the Multi-Metric chart data showed sentiment and price moving together and falling significantly over the last 24H. At the same time, mindshare went up not from new interest, but from negative attention. Perhaps, this spike in negative sentiment helped fuel more panic and sell pressure, pushing both tokens even lower. Interestingly, when we looked at the Multi-Metric 7D chart, for both, we found out sentiment began to decline ahead of price action. → June 13th: Sentiment for $KOGE began to trend downward. → June 14th: $ZKJ Sentiment followed the same pattern. Coincidence or correlation? Interconnected Moves To understand what really went wrong we dug deeper into the Smart Feed which surfaced detailed and quality posts from Top Voices breaking down what really happened. → @0xAbhiP suggested an overly speculative liquidity farming with no clear fundamentals and coordinated wallets rapidly withdrawing liquidity lead to this. → @StarPlatinumSOL highlighted via thread how traders rushed to swap $KOGE into $ZKJ which started a wave of panic selling and breaking $ZKJ’s price floor, which lead to both tokens plummeting. → @eth_apple noted $KOGE pool ran out of $USDT, leaving LPs unable to exit positions which led to a mass sell-off of $KOGE into $ZKJ, causing both tokens to crash. He also pointed out that $ZKJ had been actively defending its USDT pool and was caught in the crossfire. Data Over Noise Instead of spending hours digging through scattered CT threads trying to make sense of what happened, the data was already available and structured. With flow: Homepage Sentiment Data/Trending Market Events → Project Page → Latest Buzz Section → Multi-Metric Chart → Smart Feed.