Bitcoin whales increase holdings by 69%: Market bottom logic analysis amid on-chain data and ARK's differing views

In the first quarter of 2026, the Bitcoin market presents a highly contradictory picture: on one side, prices have sharply retraced from highs, repeatedly losing several key technical moving averages; on the other side, whale addresses labeled as “high conviction holders” are absorbing sell pressure at a scale unseen since 2020. ARK Invest’s “Bitcoin Quarterly Report” offers a calm and direct qualitative assessment of this phenomenon — “The true cycle bottom has not yet arrived.” This narrative clash between on-chain accumulation data and cautious institutional observation forms the most noteworthy structural issue currently warranting deep exploration.

A report sparks the bottom debate

The focal point of the event stems from ARK Invest’s recent release of the 2026 Q1 “Bitcoin Quarterly Report.” The core conclusion of the report states that, although on-chain accumulation data shows long-term holders actively buying, several critical cost basis levels have yet to be effectively broken through, which does not align with historical on-chain features marking the cycle’s final bottom. Meanwhile, data from another perspective shows that the group of steadfast believers increased their holdings from 2.13 million BTC at the start of the quarter to 3.6 million BTC, a 69% increase. This behavior starkly contrasts with the weak price performance, quickly sparking widespread debate about whether the bottom has already been established.

From panic selling to silent accumulation

In early 2026, Bitcoin’s price continued to slide from its highs, triggering market panic. As of April 24, 2026, according to Gate’s market data, Bitcoin was trading at approximately $77,718.8, still far from its all-time high of $126,080.

During this decline, Bitcoin’s price repeatedly broke through three major technical support levels widely regarded as bullish: the 200-day moving average (around $90,613), the short-term holder cost basis (about $82,767), and the on-chain average realized price (around $78,039). It was precisely during this series of technical breakdowns that whale accumulation accelerated, viewing other participants’ panic selling as an opportunity to build positions, with holdings increasing by about 1.47 million BTC over three months.

Decoding whale actions and institutional logic

Exponential increase in whale holdings

ARK’s report shows that the holdings of “high conviction holders” surged from 2.13 million BTC at the beginning of Q1 to 3.6 million BTC at quarter’s end. This 69% increase was not a linear accumulation but occurred amid a 22% price decline. This marks the fastest chip concentration process since the 2020 cycle. Meanwhile, another fact is that the holdings of spot Bitcoin ETFs remained relatively stable throughout the quarter, locking in around 1.29 million BTC at the end, reflecting a different, more “non-sell” stance at the institutional level.

ARK’s “cycle bottom not yet reached” on-chain reasoning

Why does ARK Invest remain cautious despite such significant accumulation data? Its model hinges on “cost line validation.” The report presents two core reference points:

• Realized Price: about $54,000. This indicator represents the average cost of all Bitcoin last moved on-chain. Historically, when prices fall below this line during a bear cycle, it often signals the market has entered an extremely pessimistic capitulation zone.
• Investor Price: about $50,000. Derived by stripping miner-related activity from the realized price, this indicator is believed to more purely reflect the market’s average cost basis.

ARK’s logic is: a highly confident global bottom typically requires prices to at least touch, or briefly dip below, these two cost support levels to fully cleanse the market. Since the Q1 low did not reach this zone, it suggests that, although whales are actively “buying the dip,” the market has not yet experienced a thorough, definitive “ultimate capitulation” event. Additionally, while the supply of paper profits once compressed from 78% to 50%, it never fell below the supply of paper losses, which is also seen as a sign that the washout is not yet thorough enough.

Trust votes amid market divergence

One camp is the “technical validation faction,” represented by ARK’s cycle model. They believe that price recovery must be based on a thorough cleansing of cost basis levels. Without testing the $54,000 zone, the current rally lacks a solid foundation for a bull-bear transition and may instead evolve into another range-bound bottoming process during the long-term accumulation phase.

The other camp can be called the “behavioral validation faction,” supported by on-chain activity backed by real capital. Grayscale Research, for example, offers a contrasting view, suggesting that Bitcoin’s durable bottom may have already formed within the $65,000 to $70,000 range. Their logic is that, in a macro liquidity environment that has shifted, the behavior of large high-conviction investors ignoring price weakness and accelerating absorption of circulating supply is a more forward-looking and stronger bottom confirmation signal than historical cost levels. In this narrative, whale “buying power votes” are given greater weight than static cost indicators. Into the Cryptoverse CEO Benjamin Cowen also offers a temporal hypothesis, suggesting that based on the durations of previous cycles, the cycle’s low point might occur around October 2026.

When historical patterns meet structural change

Is the effectiveness of using historical regularities to infer the current cycle’s bottom still solid? This is not to deny the value of on-chain data but to point out potential vulnerabilities in its logic.

The participant structure of the Bitcoin market has become fundamentally different from previous cycles. Traditional cycle experience was built on retail investors dominating, with frequent high-leverage liquidations triggering chain reactions. In the current cycle, institutional capital—represented by spot ETFs and listed companies—has become a substantial foundation. These actors tend to adopt long-term strategic holdings rather than trend trading. This means that the “pin-like” bottoms caused by leverage-driven liquidations, where prices sharply break through cost lines, may have been replaced by a “bottoming” pattern characterized by prolonged sideways accumulation, trading time for space. Therefore, using the $54,000 level as an absolute standard for the bottom being not yet reached may underestimate the deep structural shifts in the market.

Industry impact analysis: reshaping competitive dynamics and narrative pricing power

The “bottom” debate’s influence extends far beyond trading sentiment; it is reshaping industry perceptions across multiple dimensions.

First, it signifies that on-chain data analysis methodologies are shifting from auxiliary tools to central elements of market narrative. Indicators like “realized price,” once complex, are now topics of discussion among retail investors, raising the overall depth and information threshold of market engagement. Second, it highlights that the indicator value of “smart money” behavior is being re-priced. When whale actions conflict with institutional quantitative models, who better represents the market’s long-term direction? The outcome of this debate will determine the narrative pricing power in the latter half of this cycle—whether it remains with traditional cycle analysts or is dominated by entities with substantial capital willing to deploy counter to prevailing trends.

Conclusion

The large-scale accumulation by Bitcoin whales in Q1, combined with ARK’s calm warning that the bottom has not yet arrived, sketches a picture of a crypto market at a crossroads. This is no longer a simple bullish or bearish question but a profound debate over which analytical paradigm can better capture the market’s truth. Is forward-looking on-chain behavior more critical, or do cycle-based cost validations remain an inviolable rule? For investors, stripping away emotion and deeply understanding the logic and limitations behind these two narratives may be more valuable than price prediction itself in making adaptive decisions amid today’s complex environment.