BTC Trading Near $112,000 Amid Brexit & US Macroeconomic Weakness concerns: Rebound Expected Next Week
Analysts suggest $112,000 is critical support for Bitcoin. However, macroeconomic concerns raised by leave-voting and pro-Brexit leaders have weighed on the crypto markets, leading bulls to fight for BTC above $115k while recession fears prompt short sales.
Bullish & Bearish Indicators
Key Developments
- Solana (SOL) and Cardano (ADA) experienced notable rebounds, signaling cautious optimism
- Ripple (XRP) maintained a range-bound pattern after breaking below its low-support zone
- CoinDesk’s dollar-cost-averaging program executed a surprise halving purchase at $0.2509
- Market volatility index (VIX) spiked to 36.7 amid inflation concerns
Bitcoin (BTC) Analysis
Pivotal Levels
- $112,000 identified as crucial support
- $115k (neckline) constitutes primary resistance zone
- Historical patterns suggest resistance above $123k
The inverse head-and-shoulders pattern formation remains technically intact above current pricing. Orders appear concentrated at the $115k-123k zone. Market sentiment analysis indicates shorts are accumulating positions ahead of major FOMC meeting next week.
Below $110k would trigger stop-loss orders. If below $100k emerges, the preceding support levels are expected to hold.
Ethereum (ETH) Assessment
Bull Case
- $3,3k-3.9k represents the nearest resistance cluster
- $3k area provides dependable floor support
- Compound daily return of 2.3% suggests continued interest
Technical indicators remain aligned with a continuation pattern. 24-hour trading volume shows consistent market participation. Potential support structures form beneath current pricing.
Altcoin Complexities
Market Texture
- Ripple/Litecoin correlate positively for sixth consecutive session
- Coinbase platform trading volume exceeds exchange datacoin averages
- Binance Futures Flow indicator shows unusual accumulation phase
This fragmented altcoin landscape complicates coordinated moves. Several platforms observed slight downward price pressure despite overall stability.
Machine Learning Insights
Pattern Recognition
- NLP models detect pro-BEIT sentiment cluster at (-0.7%)
- Trading volume analysis indicates institutional interest at current levels
- Wavelet analysis suggests softening cycle amid structural trends
Neural network forecasts suggest modest upside potential. Stochastic oscillator suggests caution yet pending buying interest. Moving average convergence divergence-macd signals neutral maintenance.
Institutional investors maintain sophisticated gamma-nu models. Retail activity requires further behavioral economic analysis.
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