Dogecoin faces a sharp sell-off: What’s behind DOGE’s tumble?

The king of memecoins, Dogecoin, faced a steep fall of over 24%, nearly erasing all its 2026 gains. This sharp sell-off coincided with broader market weakness, as Bitcoin lost $94K, affecting the entire cryptocurrency market. 

Arkham and SosoValue data reveal some moves that might be giving a deeper story. What really happened specifically to DOGE?

ETF outflows: A warning sign for DOGE?

On the 20th of January, Dogecoin saw ETF outflows totaling 406.96K. This followed a week of muted flows, indicating a shift in investor sentiment.

Source: SoSovalue

 ETF outflows typically indicate preparation for a sell-off, and with DOGE’s recent decline, this suggested a possible deeper correction.

Investors pulled back, and the following days determined whether DOGE would recover or face further losses.

DOGE inflows to exchanges: Another sign of pain?

On the 17th and the 20th of January, Arkham recorded Dogecoin [DOGE] inflows into exchanges, totaling $450M on the 17th and $252M on the 20th—$702M in total.

Source: Arkham

Historically, such inflows have often preceded market exits, suggesting DOGE investors might be preparing for a sell-off.

With these large inflows, could DOGE be facing a rough patch, or is this just a temporary liquidity shift?

DOGE holds near $0.125

At the time of writing, Dogecoin traded around $0.125, near a minor support zone. Despite short-term strength, the MACD showed bearish signs. 

Source: TradingView

If DOGE failed to hold the $0.122 to $0.1225 range, it risked a sell-off, possibly dropping to $0.08. With increasing bearish pressure, buyers had to step in to defend support, or DOGE could slip further.

With ETF outflows, heavy inflows to exchanges, and bearish momentum, Dogecoin has hit a critical point. Is this the start of a market correction?

Final Thoughts DOGE faced a critical moment with inflows, ETF outflows, and bearish signs. With $0.125 support at risk, trying to catch the falling knife could lead to more losses.

Comments (0)

AI Article