The crypto market capitalisation rose to $2.64T in the early hours of Monday but quickly retreated to the $2.60T level that has held steady over the past five days. Bears are aggressively defending the level from which the active sell-off began in February and where local highs were also seen earlier in April. Over the past seven days, the cryptocurrency market has gained 2.8%, with Zcash (+15%), Algorand(+12%) and Cosmos (+9%) leading the way, while Trump (-10%), Theta Network (-2.5%) and Polkadot (-2.3%) lagged.
The sentiment index has risen to 47, entering neutral territory and reaching its highest level since the second half of January. Since last August, the indicator has spent no more than a few consecutive days above 50, the first sign of a bear market. In the short term, approaching this level increases the risk of a fresh wave of selling. But don’t rush to side with the sellers until the situation becomes clearer, as a bear market does not last forever.
Bitcoin has approached the $80K mark for the second time in the last few days, but has since experienced significant downward momentum. As it approaches this round figure, a build-up of sell orders is preventing the coin from moving further upwards. For now, we consider this situation to be temporary, as the corrective pullbacks fit within the uptrend formed at the end of March.
News Background Bitcoin has entered a new phase amid the return of US retail investors to the market, Galaxy Digital CEO Mike Novogratz said. In his view, the combination of retail demand, institutional capital and limited supply creates the foundation for further growth.
Over a short period, sentiment among Bitcoin investors has shifted sharply — from pronounced pessimism to fear of missing out (FOMO), according to Santiment. Crypto whales have increased their holdings by more than 40,000 BTC over the past two weeks.
CryptoQuant, on the other hand, believes that Bitcoin’s recent rise above $79K was driven primarily by a short squeeze in the derivatives market, rather than sustained demand in the spot market. Large-scale short covering is making the market vulnerable.
Japanese company Metaplanet, one of the largest corporate holders of Bitcoin, has announced the issuance of $50 million in bonds to finance new purchases of the leading cryptocurrency.
The infrastructure of traditional finance and blockchains began to form a unified system in 2026, according to CoinShares. Stablecoins remain the largest segment of hybrid finance.
A quantum computer has, for the first time, cracked a 15-bit elliptic curve cryptographic key — the mathematical basis of digital signature schemes that ensure the security of Bitcoin networks and most blockchains.
Key Support Level: The April 27 data indicates that $65,000 serves as a critical support level for Bitcoin; if the price drops below this point, it may test $62,000, impacting short-term trading strategies.Major Resistance Level: The bright area around $67,500 is identified as strong resistance; if Bitcoin breaks above this level with high volume, it could target $70,000, indicating potential upward momentum in the market.Market Dynamics Analysis: The CVD indicator shows that buying pressure from large investors is steadily increasing, as indicated by the rising brown line, suggesting institutional accumulation, while cautious retail sentiment may lead to increased market volatility.Trading Strategy Applications: Traders can use the CVD chart to identify support and resistance levels, and combine these insights with other indicators to time entries and exits, thereby enhancing the accuracy of their trading decisions.$BTC
Key Support Level: The April 27 data indicates that $65,000 serves as a critical support level for Bitcoin; if the price drops below this point, it may test $62,000, impacting short-term trading strategies. Major Resistance Level: The bright area around $67,500 is identified as strong resistance; if Bitcoin breaks above this level with high volume, it could target $70,000, indicating potential upward momentum in the market. Market Dynamics Analysis: The CVD indicator shows that buying pressure from large investors is steadily increasing, as indicated by the rising brown line, suggesting institutional accumulation, while cautious retail sentiment may lead to increased market volatility. Trading Strategy Applications: Traders can use the CVD chart to identify support and resistance levels, and combine these insights with other indicators to time entries and exits, thereby enhancing the accuracy of their trading decisions.
Bitcoin is up 2.12% to $79,151.30 in 24h, slightly outperforming a broader market that gained 1.97%, primarily driven by sustained institutional demand via spot ETF inflows.
Primary reason: Renewed institutional accumulation, with U.S. spot Bitcoin ETFs recording their longest inflow streak of 2026–nine consecutive days totaling over $2 billion (CryptoSlate). Secondary reasons: A technical breakout above key moving averages, confirmed by a 65.1% surge in trading volume, signaling strong buying conviction. Near-term market outlook: If BTC holds above the $77,500–$78,000 support zone, a retest of the $80,000 resistance is likely; a break below risks a pullback toward $75,000. The immediate trigger is the Federal Reserve's policy decision on April 29.
AI crypto trading uses machine learning algorithms and bots to analyze market data, predict trends, and execute trades 24/7 at high speeds. These AI systems, which differ from simple, rule-based bots by learning and adapting, improve risk management and efficiency. Popular platforms include Pionex, 3Commas, and Cryptohopper. Key Benefits of AI Crypto Trading 24/7 Market Monitoring: AI operates continuously, reacting to price changes in real-time without human intervention. High-Speed Execution: Bots can execute trades in milliseconds, crucial for arbitrage and volatile market conditions. Removal of Emotion: Automated trading eliminates emotional decision-making, such as panic selling or fear of missing out (FOMO). Data-Driven Decision Making: AI analyzes vast datasets, including market indicators, price patterns, and news sentiment, to improve accuracy. Common AI Trading Strategies & Applications Arbitrage: Exploiting price differences of the same asset across different exchanges. Sentiment Analysis: Analyzing social media, news, and market reports to predict price movements based on market sentiment. Predictive Analytics: Using historical data to identify patterns and predict future price fluctuations. Portfolio Management: Automatically rebalancing portfolios and managing risk based on adaptive algorithms.#ai #btc