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, suggesting short-term momentum improvement, but the price remains below all major moving averages ($84,536 for 20 EMA, $86,619 for SMA), indicating the overall bearish trend persists. Bollinger Band analysis shows the price close to the lower band ($74,456); holding this support could trigger a technical rebound.
Market Sentiment and Derivatives
Market sentiment is extremely fearful, with the Fear & Greed Index at just 13 (scale 0-100), often a sign of a potential bottom, implying selling pressure may be waning. In derivatives, funding rates are neutral (0.4242%), with no signs of extreme leverage; 24-hour liquidation volume is $273 million, with a long-to-short ratio of 4.44 (longs dominate liquidations), indicating some long leverage has been cleared, reducing short-term downside pressure. Open interest has recently decreased from $29.8 billion to $23.9 billion, reflecting reduced market activity and possibly entering a consolidation phase.
On-Chain Valuation
On-chain metrics show mixed signals: MVRV (Market Value to Realized Value) at 1.359, in the fair value zone, suggesting the asset is neither significantly overvalued nor undervalued; NVT (Network Value to Transaction) at 16.5 indicates network value is undervalued, implying long-term investment potential. The realized price at $55,687 serves as a key support reference; current price remains above this level but needs to hold.
Overall Assessment
In the short term, oversold conditions (RSI 27.7) and extreme fear (Index 13) support a potential rebound, with resistance at $77,697 (4-hour Bollinger Band middle). However, the overall trend remains constrained by the $86,619 (20-day moving average); a breakout above this level is needed to confirm a trend reversal. Downside risks include breaking below $74,456 support, which could test the $73,112 low. Investors may look for buying opportunities near support levels but should manage risks carefully, as the macro environment remains weak.
Risk Warning: Market volatility is high. The above analysis is based on current data; actual movements may be influenced by macro events or unexpected news. It is recommended to make decisions based on real-time data.