Following the tracks of this huge SHIB whale
A massive Shiba Inu (SHIB) whale has caught the attention of the crypto community with a series of 13 transactions. These transactions follow a similar pattern, leading to speculation that they were all done by the same entity. Finbold analyzed the “4 trillion token shuffle” tracks to uncover more information.
Key Points:
– On July 14, the first transaction involving 4.11 trillion SHIB was made between two unknown entities.
– The sender had previously received 3.81 trillion SHIB on June 16, indicating a trading address.
– The tokens continued to move from one address to another, resulting in a transaction of 4.71 trillion SHIB on August 17.
– This transaction coincided with news of the failed Shibarium launch, which caused SHIB to lose over 21% of its value.
– Bitvavo, a centralized exchange, received 4.65 trillion SHIB on the same day from the whale.
SHIB Whale transactions study. Source: Etherscan (Vinicius Barbosa @ Finbold)
– On August 20, the Bitvavo account that received the tokens sent 4.66 trillion SHIB to another Bitvavo account. These internal transactions are typically for wallet management purposes.
– On August 21, the whale withdrew the “4 trillion token shuffle” from Bitvavo’s wallet, possibly for trading purposes.
– The final transaction, by press time, transferred the tokens to a new address, leaving the whale with 4.62 trillion SHIB.
– Moving tokens between addresses, including those of centralized exchanges, is often part of a mixing strategy to make tracking balances more difficult.
– However, using the same pattern and similar amounts in transactions makes it easier for trackers to identify the same entity.
Hot Take:
This analysis of the SHIB whale’s transactions reveals a consistent pattern of movement and suggests that they were likely done by the same entity. The whale’s actions coincided with significant events, such as the failed Shibarium launch, impacting SHIB’s value. Moving forward, it will be interesting to see if the whale continues to make transactions or if they adopt different patterns to avoid detection.
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