SHIB Burn Rate Collapses 98%, Then Spikes; Exchange Inflows Rise

Published: 2026-04-01 11:26:43 |

Shiba Inu (SHIB) burn rate has fallen 98% from March’s peak, dropping from 54.69M SHIB to 940,326 SHIB by March 31. The burn tracker estimates it would take about 331,285 years to destroy 90% of the SHIB supply at that March pace. However, April start brought a short-term recovery: SHIB burn rate rose 578% over the past 24 hours, with 6,380,370 SHIB reportedly burned across five transactions. Traders are also watching supply mechanics shifting in the opposite direction. CryptoQuant data shows net exchange inflows of 137.63B SHIB in 24 hours (+35%), and exchange reserves increased to 81.28T SHIB. This points to more SHIB moving to exchanges, which can raise near-term selling pressure despite the burn burst. Earlier reporting also noted a sharp burn spike (1,086% in 24 hours) from multiple burn transactions. Price context: SHIB has been trading around the mid-$0.000005 range, with recent moves seen as more driven by flow and burn activity than by strong fresh speculation. Net: SHIB burn rate volatility is rising, but exchange inflows suggest potential overhead for short-term momentum.

Bearish

The latest update suggests the SHIB burn rate is highly volatile but not structurally supportive: the long-run collapse (-98% vs March peak) remains the dominant trend, even though a short-term 578% burn-rate spike occurred at the start of April. More importantly for traders, exchange inflows are rising at the same time. Net exchange inflow of 137.63B SHIB and higher exchange reserves (81.28T) indicate holders are sending tokens to trading venues rather than self-custodying. Historically, this combination often increases the probability of near-term sell pressure and limits upside follow-through, especially after any burn-related rallies. So, while burns can reduce circulating supply temporarily and can briefly boost sentiment, the flow of SHIB into exchanges is the stronger near-term signal for price action—turning the setup into a bearish bias for short-term momentum.