Bitcoin Fear and Greed Index Hits Greed as BTC Nears Two-Month High
The Bitcoin Fear and Greed Index rose to 61, entering the “greed” zone for the first time in three months as BTC approached a two-month high. Bitcoin briefly tested near $98,000 and settled around $96,000, a roughly 7% weekly gain. Analysts link the shift to price rebound, geopolitical tensions boosting demand for alternative assets, and muted volatility from U.S. policy signals. On-chain data shows accumulation by large and medium wallets (10–10,000 BTC), which have added over 32,600 BTC since mid-January, while micro-holders (<0.01 BTC) have been distributing. Technical analysts cite potential near-term resistance tests at $100,000 and upside toward $105,000 if momentum continues, but warn that elevated greed readings increase the risk of short-term corrections. Traders should weigh bullish accumulation and price structure against the historical tendency for extreme sentiment to precede pullbacks; position sizing, stop-loss discipline and watching on-chain flows are recommended.
Bullish
The combined articles point to a bullish near-term outlook for BTC. Key bullish factors: (1) The Fear and Greed Index rising to 61 signals stronger investor demand and confidence; (2) price structure showing a rebound with a test near $98k and a weekly ~7% gain; (3) significant on-chain accumulation by large and mid-size wallets (10–10,000 BTC) adding over 32,600 BTC since mid-January, which typically supports higher prices. Technical commentary suggesting potential tests of $100k–$105k reinforces upside expectations. Offsetting risks: elevated greed readings and heavy micro-holder selling increase the chance of short-term corrections and volatility. For traders, the immediate impact is likely bullish momentum that could continue toward the noted targets, but the probability of pullbacks is higher than in neutral sentiment periods. Recommended actions include using disciplined position sizing, tight or trailing stops, and monitoring on-chain accumulation and sentiment indicators to manage reversal risk.