{"id":31051,"date":"2026-07-27T18:37:22","date_gmt":"2026-07-27T17:37:22","guid":{"rendered":"https:\/\/investx.fr\/en\/2026\/07\/27\/shib-52-whales-dumped-positions-37-percent-pump-retail-trap\/"},"modified":"2026-07-27T18:37:28","modified_gmt":"2026-07-27T17:37:28","slug":"shib-52-whales-dumped-positions-37-percent-pump-retail-trap","status":"publish","type":"post","link":"https:\/\/investx.fr\/en\/crypto-news\/shib-52-whales-dumped-positions-37-percent-pump-retail-trap\/","title":{"rendered":"SHIB: 52 Whales Dumped Their Positions During the 37% Pump, Trapping Retail Buyers"},"content":{"rendered":"\n

The 37% pump in Shiba Inu<\/strong> was short-lived \u2014 and that was no coincidence. While retail traders were buying into the euphoria, 52 large addresses<\/strong> were quietly distributing their tokens.<\/p>\n\n\n\n

On-chain data from Santiment<\/strong> pulls back the curtain on a market dynamic that is as classic as it is ruthless: a pump-and-dump<\/strong> orchestrated by large holders, at the expense of late buyers.<\/p>\n\n\n\n

What price charts don’t always show, on-chain analysis reveals without ambiguity.<\/p>\n\n\n\n

A 37% Pump Turned Into a Retail Trap<\/h2>\n\n\n\n

The recent surge in Shiba Inu (SHIB)<\/a><\/strong> had all the hallmarks of a convincing bullish signal: rising volume, positive sentiment across social media, and aggressive price action. Yet behind that facade, on-chain data was telling a very different story.<\/p>\n\n\n\n

According to research by Santiment<\/strong>, 52 whale addresses<\/strong> took advantage of this liquidity window to massively distribute their positions. While retail buyers entered the market, drawn in by the bullish momentum, these large holders were methodically selling \u2014 absorbing incoming demand and locking in their profits.<\/p>\n\n\n\n

This pattern is known as institutional distribution<\/strong>: large players use market hype to exit at elevated prices, leaving late buyers holding positions in the red as soon as selling pressure takes over. The outcome is clear-cut \u2014 the pump reversed, and those who bought at the top found themselves trapped.<\/p>\n\n\n\n

\"Shiba<\/figure>\n\n\n\n

What On-Chain Data Reveals About SHIB Whale Behavior<\/h2>\n\n\n\n

Santiment<\/strong>‘s analysis highlights a key indicator: the movement of large addresses<\/strong> in correlation with price peaks. When the number of transactions involving wallets holding significant volumes of SHIB spikes precisely during a rally, that is a major red flag. This is not accumulation \u2014 it is position exit.<\/p>\n\n\n\n

This type of divergence between price action<\/strong> and on-chain behavior is one of the most reliable tools for anticipating a reversal. When price rises but whales are selling, the move is built on retail demand that is not backed by fundamentals or genuine institutional interest. The volatility that follows is almost mechanical.<\/p>\n\n\n\n

For traders who track on-chain metrics, this SHIB case illustrates the importance of monitoring indicators such as Weighted Social Sentiment<\/strong>, Network Realized Profit\/Loss<\/strong>, and high-cap address flows before entering an asset in full momentum. This is exactly what played out during the spike in SHIB’s burn rate, where similar on-chain signals could have alerted investors ahead of time.<\/a><\/p>\n\n\n\n

Meme Coins and Manipulation: A Structural Dynamic<\/h2>\n\n\n\n

The Shiba Inu case is far from isolated. Meme coins<\/strong> are structurally vulnerable to this type of manipulation: their valuation relies almost entirely on market sentiment and virality, with no solid fundamental catalyst underpinning them. This makes them prime hunting grounds for whales who know how to create \u2014 or simply exploit \u2014 FOMO-driven price spikes.<\/p>\n\n\n\n

Supply concentration remains an aggravating factor. On tokens like SHIB<\/strong>, a handful of addresses controls a disproportionate share of the circulating supply. This means a limited number of actors can significantly influence the price in either direction, with an immediate impact on the liquidity available to retail participants.<\/a> These dynamics were also observed during SHIB’s recent rise into the Top 25, where whale movements proved decisive.<\/p>\n\n\n\n

The lesson is structural: on high-volatility assets with low fundamental utility, momentum alone is not a sufficient entry signal<\/strong>. Cross-referencing on-chain data with price action remains the most robust approach to avoid ending up on the wrong side of a trade orchestrated by players who are far better informed.<\/p>\n\n\n\n

\n\n\n\n

Related articles :<\/h3>\n\n\n\n