Bitcoin Wholecoin Holders Pulling Back As Inflows To Binance Shrink – What’s Driving It

bitcoinistPublished on 2025-12-15Last updated on 2025-12-15

Abstract

Bitcoin's recent price volatility has pushed it back under $90,000, accompanied by a notable decline in large investor activity. Data reveals that inflows from "wholecoiners" (wallets holding at least 1 BTC) into Binance have dropped significantly, with the yearly average hitting levels not seen since 2018. This trend suggests that large holders are less inclined to sell, possibly due to Bitcoin's higher valuation making full coins harder to acquire and the rise of alternative trading venues like DeFi. Additionally, Bitcoin continues to trade below the short-term holder cost basis of $105,400, a phase that has historically presented accumulation opportunities for long-term investors, though caution is advised.

Bitcoin’s bounce last week was quickly cut off by growing volatility in the broader crypto market, causing the price to fall below the pivotal $90,000 mark once again. Given the recent price fluctuations, investors’ sentiment, especially those on crypto exchanges, has shifted as inflows from BTC wholecoiners plummet.

Binance Sees Sharp Drop In BTC Wholecoiner Inflows

While the price of Bitcoin pulls back this new week, there is one key metric that is currently standing out. This metric is the BTC Wholecoiners Inflows on Binance, which is starting to tell a different story about investors on the largest cryptocurrency exchange in the world.

After examining this metric, Darkfost, a market analyst and author at CryptoQuant, revealed that on the Binance platform, wholecoiner deposits are drying up. Specifically, wholecoiner inflows imply transactions larger than 1 BTC, which provides vital insight into both current selling pressure and the broader evolution of the market.

Data shows that the inflows from this cohort are declining when compared to past years. Presently, BTC’s yearly average now sits around 6,500 BTC, representing a level not seen since 2018. Meanwhile, on the shorter time frame, the weekly average is situated near 5,200 BTC, marking one of its lowest readings of this cycle.

Wholecoiners are leaving exchanges | Source: Chart from Darkfost on X

While the wholecoiner inflows dry up, the pattern that inflows have followed this cycle in comparison to previous ones is very intriguing. Even as Bitcoin continued to rise, wholecoiner inflows to Binance have steadily decreased rather than rising as they once did.

Beyond indicating that investors with sizable Bitcoin holdings are less inclined to sell, this trend could also point to a deeper structural shift in the market. With Bitcoin’s valuation experiencing a steady increase, owning a full BTC has become extremely difficult, which naturally decreases the total number of transactions larger than 1 BTC.

At the same time, Darkfost highlighted that there are now more options available in the ecosystem for owning or trading Bitcoin. Even crypto exchanges have multiplied, and the steady growth of Decentralized Finance (DeFi) provides more venues, a trend that is likely to redirect flows that previously went nearly exclusively to major exchanges such as Binance.

BTC Still Trading Below Short-Term Cost Basis

Bitcoin is still trading below the Short-Term Holder Cost Basis located at $105,400. What this means is that the crypto king has been trading below the level for nearly 2 months now. However, Darkfost stated that staying beneath the level for such an extended period is not uncommon.

During previous corrections, the duration of these phases has ranged from two months to over four months, making the present correction fall well within a typical range. However, since this indication tends to stay negative for much longer after the market actually enters a bear phase, it would be crucial to prevent Bitcoin from declining any further.

In the meantime, this does not invalidate the notion that these periods remain a signal for accumulation opportunities. Nevertheless, caution is still crucial, and access points should be carefully optimized. Darkfost believes that an accumulation of this type is only appropriate for long-term investors.

BTC trading at $89,726 on the 1D chart | Source: BTCUSDT on Tradingview.com

Related Reads

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

marsbit11h ago

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

marsbit11h ago

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbit12h ago

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbit12h ago

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbit13h ago

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbit13h ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of S (S) are presented below.

活动图片