Bitcoin Breaks Below $71,000, Peter Brandt Warns of Two-Way Movement Risk

BTC-5,06%
ETH-6,22%
DOGE-4,86%

Gate News reports that on March 19, Bitcoin’s price fell below $71,000, dropping about 5% within 24 hours, continuing the overall correction trend in the cryptocurrency market. Meanwhile, Ethereum, Solana, and Dogecoin all declined by 5% to 6%, with the total market capitalization of digital assets evaporating over $100 billion. The GMCI 30 index also dropped about 5%, with a year-to-date decline of 21%.

Senior trader Peter Brandt pointed out that Bitcoin currently exhibits two competing technical patterns. On one hand, he identified a constructive pattern similar to a rounded bottom, which may indicate easing selling pressure and increasing buyer interest; on the other hand, he warned of a typical bear flag pattern, suggesting that if the price breaks below key support levels, it could trigger a new downward move. Brandt emphasized that traders should evaluate both bullish and bearish scenarios and remain flexible.

Macroeconomic factors significantly influence market sentiment. The Federal Reserve maintained interest rates between 3.5% and 3.75%, reinforcing expectations of high long-term borrowing costs. Coupled with rising energy prices and geopolitical tensions, investor risk appetite has declined. The S&P 500 approached a four-month low, while gold and silver fell approximately 3% and 4%, respectively, further indicating the correlation between traditional assets and the crypto market.

The imbalance between high open interest in derivatives and ETF fund inflows has increased price volatility sensitivity. Samuel Leyne noted that oil prices and geopolitical uncertainties may limit Bitcoin’s short-term upside potential, even if technical patterns provide some support.

Recently, Bitcoin approached $76,000 but then retreated to support around $70,000. Considering the overall market structure and macro pressures, Bitcoin’s short-term trend remains uncertain. Traders need to adjust their strategies flexibly based on key price movements to cope with potential sharp fluctuations.

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