Santiment: Weak social sentiment for Ethereum fit come before big rally
Santiment analysts dey talk say di weak social media sentiment wey dey around Ethereum (ETH) right now mirror di setup wey dey before im 2025 surge and fit mean another big upside fit happen. Brian Quinlivan point out say social pessimism reach im peak even as ETH later rally from about $1,470 to $4,900 in 2025. Today ETH don retrace about 36% from im all-time high and dey trade near $3,089 after about $19 billion liquidation event for October 2025. Santiment dey interpret di drop for social sentiment as possible contrarian bullish signal, no be sure proof say market go remain bearish for long. On-chain and network indicators still show structural strength: renewed interest for staking, steady network activity, and institutional views (including Coinbase Asset Management) wey still rank Ethereum as market clear No.2. Traders suppose dey watch social sentiment metrics, staking flows, ETF/inflow data, and price action around key support and resistance levels for signs of reversal. Short-term risks include episodic liquidations and market-wide fear; potential catalysts for renewed upside include improving sentiment, rising staking participation, and positive ETF/inflow trends.
Bullish
Di combined report dey show say di drop for sentiment na contrarian indicator wey historically don link to strong recoveries for ETH. Santiment point to precedent — social pessimism peak before di 2025 rally — and current on-chain signals (staking interest don renew, network activity steady) plus institutional recognition wey support Ethereum structural case. Short-term downside risk still dey: recent ~ $19B liquidation and market fear fit drive volatility and more retracements. For traders, dis mean bullish medium- to long-term bias for ETH if sentiment and staking/inflow metrics turn positive, while short term fit get choppy price action and liquidation-driven dips. Key action points: watch social sentiment metrics make dem shift from extreme pessimism, monitor net staking flows and ETF/inflow data as confirmation, and trade with attention to support/resistance levels and position sizing to manage liquidation risk.