adminIn recent developments, bitcoin’s short-term price action is still without bullish momentum, and according to macroeconomist Henrik Zeberg, the longer-term outlook may be deteriorating as well. Henrik Zeberg shared a strongly bearish assessment of the market’s current structure in a post on the social media platform X with the conclusion that Bitcoin is no longer behaving like an asset in a healthy expansion phase. Instead, he described Bitcoin as approaching an important peak, warning that the current structure carries an elevated risk of a sharp downside move once that peak is in place. Bitcoin’s Expanding Diagonal Points To Price Top Zeberg’s Bitcoin outlook is based on the expanding diagonal structure on Bitcoin’s monthly candlestick timeframe chart. This long-term pattern, which has been playing out since Bitcoin’s creation, shows increasing volatility, with the Bitcoin price making higher highs and lower lows with a widening range. According to the chart he shared, Bitcoin appears to be completing the final stages of this structure, and this is expected to be characterized by exhaustion. Zeberg labels the current zone as a topping area, where upside progress becomes increasingly unstable even if the price continues to increase. Interestingly, the chart projected a final surge as a blow-off top that could carry Bitcoin to the mid-$150,000 range. However, in this framework, that final push is not a sign of strength but a hallmark of late-cycle overconfidence. Expanding diagonals tend to resolve violently once the structure breaks, and Zeberg views the current setup as looking like where optimism peaked just before a reversal. From Euphoria To A Deep Crash Scenario Zeberg’s most controversial claims are in his projected downside targets. According to him, once the final euphoric rally plays out and Bitcoin reaches above $150,000, it could enter into a collapse on a scale that most Bitcoin investors currently consider unthinkable. He compared the setup to the dot-com era, when the Nasdaq fell by more than 80%, and noted that Bitcoin has historically amplified both upside and downside moves. Based on that logic, he predicted a scenario where a broader AI and crypto bubble unwinds, leading to a Bitcoin price crash of about 97% or 98% from the eventual peak. This translates into a technical minimum target between $3,000 and $4,000, with the possibility of even deeper declines. Although the final rally may be dramatic, holding through the subsequent crash could be devastating for unprepared investors. Zeberg also highlighted momentum indicators that he believes support the bearish outlook. Bitcoin is showing what he describes as massive bearish divergence on the monthly timeframe. This is a situation where price continues to grind higher but momentum indicators such as the RSI fail to confirm those highs. Another indicator is the monthly MACD, which is also approaching, or already printing, a bearish crossover on the long-term chart.
Looking closer, market participants highlight key drivers such as liquidity flows, macro risk appetite, regulatory headlines, and on-chain activity. Short-term swings often reflect liquidation cascades and funding imbalances, while spot volumes and exchange inflows set the broader tone.
Analysis: The medium-term picture hinges on whether buyers can sustain momentum without excessive leverage. If flows continue favoring majors like BTC and ETH, altcoins could experience a staggered rotation instead of a broad-based rally. Meanwhile, policy clarity in key jurisdictions remains a decisive catalyst; clearer rules typically compress risk premia and attract institutional allocations. Beyond price action, on-chain metrics such as active addresses, fees, and stablecoin velocity help validate trend strength.
Outlook: Over the next few weeks, observers will watch price acceptance above recent resistance, derivatives positioning, and ETF-related flows. A constructive setup would feature rising spot demand, contained leverage, and improving breadth across sectors such as DeFi, infrastructure, and Layer-2 ecosystems.
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