shiba-inu-whale-accumulation-and-market-impact
Shiba Inu whales purchase 400 billion SHIB tokens, with potential market recovery as suggested by analysts.
Key Points:
  • Shiba Inu whales purchase 400 billion SHIB tokens.
  • Price decline observed amid accumulation.
  • Potential price recovery suggested by analyst.

Major investors acquired about 400 billion Shiba Inu (SHIB) tokens, despite its declining price, on August 3, 2025, according to on-chain data.

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Analysts suggest potential price recovery driven by whale movements, impacting broader meme tokens, though official sources remain silent.

Shiba Inu (SHIB) has witnessed a notable whale accumulation of 400 billion tokens. This activity aligns with a significant decline in SHIB’s price. Recent analytics report whales’ buying spree despite market volatility.

The accumulation was confirmed by on-chain analytics indicating an increase of around 400 billion SHIB within 24 hours. No direct statements from the Shiba Inu team have yet been made about this event.

Market impact is notable with SHIB showing a daily decline of approximately 1.8%. Large transactions have been accompanied by an increased burn rate, contributing to market speculation about future price stabilizations.

The financial implications are high as whale behavior often precedes market rallies. Analysts suggest that maintaining key price levels could trigger bullish movements for the token shortly. As market analyst Joe Swanson notes:

“If SHIB maintains $0.0000103 and breaks through $0.0000171, it could advance toward $0.0000239.”

There is no official response from regulatory bodies concerning the recent SHIB activities. However, analyst Joe Swanson highlights potential price targets if specific price thresholds are met, suggesting a market turnaround might be feasible.

Insights from previous whale accumulations suggest that significant token burns can lead to price rallies. Historical trends in the SHIB ecosystem support this potential recovery narrative observed through net inflow and burn rate data.

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