Bitcoin rebounds to touch key resistance? Three on-chain signals reveal potential risks

In April 2026, Bitcoin experienced a notable rebound. According to Gate market data, as of April 24, Bitcoin was trading at $77,715.5, with a 24-hour change of -0.39%, a 7-day increase of 4.68%, and a cumulative gain of 5.76% over the past 30 days. Its market cap was approximately $1.49 trillion, and its market share reached 56.37%. Meanwhile, the previous day saw the price briefly break through the $78,000 level, hitting the highest point since early February.

However, beneath the surface of the rebound, multiple on-chain indicators are sending signals that differ from the past. Independent data from CryptoQuant and Glassnode point to the same conclusion: the structure of this rally is highly similar to the pattern seen before the market reached a stage top earlier in the year. The core question the market needs to answer is—Is this time truly different, or is the same pattern repeating?

Rebound and Signals Coexist

From April 22 to 23, Bitcoin’s price briefly broke above $79,000, with a high just over $79,000 before falling back. From a price-action perspective, this was a standard breakout: starting from around $74,000 in early April, with a total rise of more than 10%.

But the key difference lies in the underlying structure. Julio Moreno, Head of Research at CryptoQuant, pointed out that this rally was mainly driven by the perpetual futures market, while spot market demand is still contracting—even though the contraction rate has slowed. At the same time, Glassnode’s on-chain monitoring system detected a sharp rise in realized profits among short-term holders, and the price is pressing toward a key cost basis level that has repeatedly acted as resistance in history.

These three signals are not isolated noise; rather, they point from different dimensions to the same market condition: derivative heat surpassing spot support, profit-taking pressure building up, and key technical levels not yet being effectively converted into support.

Structural Continuity from the Early-Year Top to the Current Rebound

If we examine the current market in the full timeline of 2026, the continuity in the pattern becomes clearer.

In January 2026, Bitcoin reached a stage high of about $98,000. At the time, the market showed similar characteristics: derivative market activity was significantly higher than spot demand, and short-term holders sold off in a concentrated manner after taking large profits. After that, Bitcoin entered a downward channel, gradually declining between February and March, with a low in the $67,000 area.

Entering April, market sentiment began to recover. On April 18, as geopolitical tensions in the Middle East eased temporarily, global risk appetite picked up, and Bitcoin launched a rebound after finding support around $75,000. On April 21, the price was $76,029.7, up 1.64% over 24 hours. On April 22, Bitcoin stood above $78,000, reaching a new high in nearly two months. On April 23, the price briefly broke above $79,000 before retreating.

Notably, during this rebound, the divergence between the derivatives market and the spot market has been deepening. This divergence is the key logical link connecting the current situation to the early-year top.

Quantitative Presentation of Three Warning Signals

Signal 1: The Rally Is Dominated by Perpetual Contracts, While Spot Demand Continues to Contract

CryptoQuant’s data reveals a concerning market structure: this rebound’s funding engine comes from perpetual contracts rather than genuine buy-side demand in the spot market.

Moreno’s comparative analysis shows that the current setup is structurally highly similar to January 2026—when Bitcoin, driven by derivatives, reached about $98,000 before quickly reversing. Specifically, the contraction in spot demand is not a short-term fluctuation, but a gradual trend that has persisted for several weeks.

This is not an isolated bearish signal. In fact, if spot demand were to recover and grow, the leverage effect from perpetual contracts could act as an accelerant. But when the two move in opposite directions—when derivatives pricing is higher than what actual spot demand can support—the “leverage component” in the price increases. Once traders begin taking profits or face liquidation, the magnitude and speed of the price correction often exceed expectations.

Moreno offered a cautious assessment: “If traders start taking profits amid spot demand continuing to contract, there is a risk of a correction.”

Signal 2: The Selling Strength of Profit-Taking by Short-Term Holders Reaches a Warning Line

Glassnode’s data provides another quantitative viewpoint: realized profits by short-term holders (measured by a 24-hour simple moving average) have climbed to $4.4 million per hour.

What does this number imply? It stands in sharp contrast to the threshold that marked each stage top earlier in the year—$1.5 million per hour. In other words, the former’s intensity is nearly three times the latter. Put simply, short-term holders are selling profit-taking positions with a strength far exceeding the intensity seen during the prior top-forming periods.

Glassnode’s research team gave a clear judgment in the report: “In the absence of meaningful demand catalysts capable of absorbing this wave of profit-taking and maintaining momentum above the short-term holder cost basis, a pullback from current levels would be fully consistent with the pattern outlined in this report. Overall, all signals point to caution rather than bullish optimism.”

To translate this data into an understandable market logic, refer to the following comparison:

Table: Comparison of Profit-Taking Selling Intensity by Short-Term Holders

Profit-taking selling itself is normal market behavior. The issue is not whether someone is selling, but whether the scale of selling exceeds the upper limit that the demand side can absorb. An hourly average of $4.4 million means that even if spot demand does not contract further, digesting this selling pressure would still require a significant amount of incremental capital inflows.

Signal 3: The Key Cost Basis Resistance Level Is Close at Hand

The third signal comes from analysis at the position-structure level. Glassnode data shows that during the rebound, Bitcoin broke above the “True Market Mean,” at the $78,100 level. The True Market Mean represents the average cost basis of actively circulating on-chain supply. Breaking above this level is indeed significant in a cyclical sense—it indicates that the price has re-established itself above the average holding cost of market participants.

However, even more worth watching is the next key resistance level: the Short-Term Holder Cost Basis, currently at about $80,100.

This implies two things simultaneously. First, breaking above the True Market Mean is a constructive signal, indicating that structural repair is taking place. Second, within less than 3% above the price—there is a resistance wall formed by the cost basis of recent buyers’ positions.

More importantly, Glassnode’s calculations show that once the price rebounds to about $80,000, more than 54% of recent buyers will be back in profit. These investors mostly built their positions in the $60,000 to $70,000 range. Their first reaction after getting back to even is often not adding more, but exiting after unlocking. This concentrated burst of behavior is precisely the core mechanism seen in many prior bear-market rebound cycles: the “distribution pressure” of exhausting the buying side leads to the formation of a stage top.

Breakdown of Market Commentary: Disagreement Is Widening

Current market sentiment shows a clear split between bullish and bearish views, and each side’s logic can be broken down into three layers:

Derivatives-Side Signal Divergence. While CryptoQuant warns that perpetual contracts are driving the rally, Gate market data shows that as of April 21, Bitcoin’s perpetual futures funding rate has remained negative for 46 consecutive days, while open interest has continued to increase. This rare combination—shorts dominate trading yet continuously bear a cost drain, while high-leverage positions keep accumulating—has historically been considered a potential short-squeeze signal in K33 Research’s analysis history.

In other words, the derivatives market is showing two opposite structures at the same time: on one hand, the fragility of spot price strength driven by perpetual contracts; on the other, the brewing possibility of a short squeeze dominated by shorts. Both interpretations have data support, and the key is which direction triggers first.

Macroeconomic-Side Two Forces. A leadership transition at the Federal Reserve is approaching. The new chair nominee under Trump and the stance of their policies are key variables. At the same time, the legislative process for crypto regulation—specifically the “Clear Act”—has a current probability of 46% for passage in 2026, and regulatory uncertainty remains an element that contributes to the risk premium. On the other hand, the SEC and CFTC jointly issued guidance in March 2026, establishing a new token classification framework, which released signals of marginal improvement.

On-Chain Indicator Ambiguity. Short-term holder SOPR narrowed from -21.6% to -5.7%, showing that the pressure from stop-loss selling is weakening, which some analysts interpret as a bottoming signal. But at the same time, Glassnode’s profit-taking data gives a directly opposite signal. The key takeaway is that a single indicator often cannot provide a certain judgment; the overlap of multi-dimensional signals is a more reliable analytical framework.

Industry Impact Analysis: Beyond the Price Layer

If these three signals indeed foretell a risk of pullback, their impact will extend beyond Bitcoin’s price itself and transmit across multiple dimensions.

Market Structure Level. If the structural divergence persists—perpetual contracts dominating the rally while spot demand contracts—it will further intensify the buildup of fragility within the market. High open interest combined with profit-taking pressure may trigger more frequent chain-liquidation events and amplify short-term volatility.

Miner Ecosystem Level. Miners have already sold a cumulative total of more than 32,000 BTC in the first quarter of 2026, setting a historical record. In the latest April network adjustment, mining difficulty decreased by about 1.1%, from around 137.1 T to about 135.5 T. Hash price has fallen to roughly $29/PH/s/day, below the $36 to $38 range of Q4 2025. With miner profit margins under pressure on top of the risk of a price pullback, funds may accelerate shifting toward alternative directions such as AI infrastructure.

Institutional Behavior Level. Continued net inflows into Bitcoin ETFs have largely offset recent profit-taking pressure. However, ETF flows are not necessarily stable or strictly one-way—if the price’s operating pattern changes, the marginal direction of institutional flows may shift accordingly. Meanwhile, the Basel framework imposes a 1,250% risk weight on banks holding Bitcoin, making it difficult for regulated banks to hold large amounts or provide related services at scale. In other words, structural expansion of demand still requires a breakthrough on the regulatory side as a prerequisite.

Conclusion

The simultaneous appearance of the three warning signals forms a set of market information worth deeper interpretation: structural divergence between perpetual contracts and spot demand, unusually strong profit-taking by short-term holders, and the proximity of key cost basis resistance levels.

The value of these signals is not that they provide a definitive conclusion. In every market cycle, similarity in structure cannot replace analysis of the specific conditions at the present time. But they do offer a clear analytical framework that helps understand the constraints currently facing the rebound.

In the coming weeks, three core questions will determine the market’s direction: Can spot demand recover enough to support the current derivatives pricing level? Can profit-taking pressure near $80,000 be effectively absorbed? In what way will the rare structural accumulation in the derivatives market unwind? Until clear answers emerge for these questions, on-chain data collectively point to a game-theory landscape that requires more cautious evaluation.