46% of Bitcoin’s supply is now underwater: Will BTC’s losses keep mounting?

ambcryptoОпубликовано 2026-03-02Обновлено 2026-03-02

Введение

Bitcoin is currently trading at $66,689, down 47% from its all-time high, with approximately 46% of its circulating supply—around 9.09 million BTC—now held at a loss. Both short-term and long-term holders are experiencing significant unrealized losses, totaling around $113.9 billion and $140 billion, respectively. This has increased sell-pressure risks as investors may capitulate to avoid further declines. Institutional holders like MicroStrategy are also underwater, with 67% of its BTC holdings in the red. Technical indicators, including the Relative Vigor Index and Future Grand Trend, suggest continued bearish momentum, with potential downside targets near $59,213 or even $45k if the downtrend persists.

Since falling from its $126k peak, Bitcoin [BTC] has traded within a descending channel, with sellers cashing out every gain.

In fact, as of this writing, the king coin traded at $66,689, down 20% on the monthly chart and 47% from its ATH.

With Bitcoin stuck within a prolonged bearish trend, investors and all market participants are facing significant losses.

46% of the Bitcoin supply is now at a loss

Based on Bitcoin’s Realized Price UTXO Age Bands, most holders have held BTC for more than a month at a loss.

The realized price for 1-month holders now sits around $69k, while the 1-month to 3-month cohort sits around $90k. With Bitcoin now significantly below these levels, all these positions are in the red.

As a result, Bitcoin’s supply trading at a loss has increased extensively. According to Maartun, approximately 9.09 million bitcoins are now in the red, representing about 46% of the circulating supply.

These losses are spread across both short-term and long-term holders. Checkonchain data showed that short-term holders’ unrealized loss currently sits around $113.9 billion.

At the same time, long-term holders’ unrealized losses currently hold around $140 billion. The sustained rise in losses indicates a strong bearish trend prevailing in the market.

Usually, higher loss rates create a sell-pressure risk if holders panic and capitulate, fearing further losses. In fact, on the 2nd of March, realized loss jumped to $705 million, according to Checkonchain.

Strategy and DATs count more losses

With losses mounting across the market, Strategy [MSTR] and other institutional investors are now operating underwater.

While MSTR has continued to accumulate during this bear market, raising its holdings to 717,724, the DCA strategy has done nothing to help.

As such, with an average cost basis of $76k, 67% of Strategy’s Bitcoin stack is in the red. The firm’s holdings value fell from a $79 billion peak to $47 billion at press time.

The same holds for the entire Digital Asset Treasuries holding BTC, with the total value of holdings falling from $125 million to $73 million.

What the continued losses mean for BTC

Traditionally, rising losses have preceded bearish implications for the market. Holders tend to capitulate, reducing risk exposure, which causes higher selling pressure.

Often, higher pressure accelerates downside risk, leading to lower prices, as recently observed. Currently, the market is in a strong downward momentum, as evidenced by momentum indicators.

Looking at the Relative Vigor Index (RVGI), which is now in negative territory, suggests higher selling and less buying activity. Such market conditions create room for more losses on the crypto’s price charts.

This possibility is further evidenced by the Future Grand Trend indicator, as it pointed to a slip below $60k to $59,213.

Even more concerning is that, per the FGT, BTC is likely to continue trading within a descending channel, with $45k as the bearish case.


Final Summary

  • Bitcoin losses have surged, with approximately 9.09 million BTC, or 46% of the Bitcoin supply, currently in the red.
  • BTC continues to trade within a descending channel, down 20% the past 30 days.

Похожее

How to Do Research Well: Deliberately Practice the Real Skills That Matter

No one truly teaches you how to do research. You're often given a desk, a pre-selected problem, and vague instructions to "create something new." Consequently, many people reverse-engineer the job based on visible outputs—papers, posts, announcements—learning only how to *appear* like a researcher rather than how to *become* one. True research capability is built from stacking small, trainable skills, nearly all of which can be developed through deliberate practice. **Pick Your Own Problem:** Most researchers absorb problems from advisors or trends, lacking the underlying reasoning. Choosing a problem you genuinely care about, as John Schulman advises, leads to original work. Develop "taste" like a muscle: predict experiment outcomes, guess paper results from methods, and track which findings remain important over time. **Upgrade Your Inputs:** Relying on shared reading lists (arXiv hot lists, filtered group chats) leads to unoriginal conclusions. Undervalued old literature often holds crucial insights (e.g., MoE, LSTM, backpropagation). Richard Sutton's "The Bitter Lesson" or Claude Shannon's 1952 talk on creative thinking are more predictive than lengthy modern surveys. Breadth matters as much as depth: draw from neuroscience, mechanism design, hardware knowledge, and honest statistics. Read papers directly, especially appendices and limitations sections. **Write Everything Down:** As Paul Graham noted, writing exposes flaws in seemingly mature ideas. Writing is the cheapest defense against self-deception. Following Feynman's principle, Darwin programmatically wrote down facts contradicting his theory to combat memory bias. Maintain a detailed log of hypotheses, setups, predictions, results, and updated understandings. Reviewing past logs fosters essential humility.

marsbit49 мин. назад

How to Do Research Well: Deliberately Practice the Real Skills That Matter

marsbit49 мин. назад

Following US Ban on Fable 5, Zhipu AI's Stock Soars 47%

On June 15th, shares of Zhipu AI surged dramatically on the Hong Kong stock market, peaking at a 47.6% gain before closing 32.82% higher. This sharp increase was directly triggered by two recent industry events. On June 12th, Anthropic announced it was suspending global access to its latest flagship models, Claude Fable 5 and Claude Mythos 5, to comply with a U.S. government export control order. The next day, Zhipu AI announced it would open access to its latest open-source flagship model, GLM-5.2, under the permissive MIT license. The Anthropic incident highlighted a critical issue beyond raw model capability: the risk of sudden, unpredictable loss of access to advanced AI models, especially for developers and enterprises deeply integrated with them. This has shifted industry and market focus toward factors like stability, sustainable access, and controllability. Zhipu's move, promoting "frontier intelligence for all," positions its openly available model as a reliable and accessible alternative. The GLM-5.2 model emphasizes "Long Horizon Task" capabilities with a 1M context window, targeting complex, multi-step coding and engineering workflows where maintaining context is crucial. Analysts note this event exposes the risk of dependency on closed-source models subject to single jurisdictional controls, potentially accelerating a shift toward domestic base models and localized deployments. The market's reaction signals a new valuation dimension in AI: providers who can offer stable, long-term, and sustainably accessible AI capabilities are gaining strategic importance.

marsbit1 ч. назад

Following US Ban on Fable 5, Zhipu AI's Stock Soars 47%

marsbit1 ч. назад

Fully Entering the AI Era: Alipay Bets on Conversation, WeChat Holds Fast to Social

In May 2026, Alipay announced over 300 million AI payment transactions. Shortly after, WeChat opened its mini-programs for AI integration, sparking controversy by requiring developer source code access. This highlights their diverging approaches to AI integration. Alipay is testing "Project Treasure," an optional AI-native interface replacing traditional app grids with a conversational window. Users can command complex tasks (e.g., "book a ride and order coffee") handled end-to-end by AI. This shift follows an abandoned standalone AI app, focusing instead on enhancing its existing user base. For unmodified mini-programs, Alipay's AI uses "screen-reading" to simulate user interactions, bypassing the need for developer overhaul. It also introduced "Token Pay" for micro-transactions and "AI Wallets" for autonomous agent spending. WeChat, prioritizing its core social function, is taking an embedded approach. Its AI agent will operate within existing contexts like group chats and official accounts, assisting without a separate interface. To enable this, WeChat offers developers two paths: granting source code access for direct AI control ("Automatic Mode") or manually encapsulating services into standardized "Skills." Both place significant burden on developers. Key differences emerge in handling legacy services: WeChat demands developer cooperation (code or labor), while Alipay's screen-reading offers immediate, if potentially less stable, compatibility. Alipay's 3 billion AI transactions demonstrate user acceptance of AI-driven commercial actions. The divergent strategies may reshape mini-program ecosystems—Alipay passively "AI-fying" services, WeChat potentially favoring resource-rich developers—and set competing technical standards. Ultimately, the competition centers on where users entrust the command to "help me get things done."

marsbit1 ч. назад

Fully Entering the AI Era: Alipay Bets on Conversation, WeChat Holds Fast to Social

marsbit1 ч. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Как купить S

Добро пожаловать на HTX.com! Мы сделали приобретение Sonic (S) простым и удобным. Следуйте нашему пошаговому руководству и отправляйтесь в свое крипто-путешествие.Шаг 1: Создайте аккаунт на HTXИспользуйте свой адрес электронной почты или номер телефона, чтобы зарегистрироваться и бесплатно создать аккаунт на HTX. Пройдите удобную регистрацию и откройте для себя весь функционал.Создать аккаунтШаг 2: Перейдите в Купить криптовалюту и выберите свой способ оплатыКредитная/Дебетовая Карта: Используйте свою карту Visa или Mastercard для мгновенной покупки Sonic (S).Баланс: Используйте средства с баланса вашего аккаунта HTX для простой торговли.Третьи Лица: Мы добавили популярные способы оплаты, такие как Google Pay и Apple Pay, для повышения удобства.P2P: Торгуйте напрямую с другими пользователями на HTX.Внебиржевая Торговля (OTC): Мы предлагаем индивидуальные услуги и конкурентоспособные обменные курсы для трейдеров.Шаг 3: Хранение Sonic (S)После приобретения вами Sonic (S) храните их в своем аккаунте на HTX. В качестве альтернативы вы можете отправить их куда-либо с помощью перевода в блокчейне или использовать для торговли с другими криптовалютами.Шаг 4: Торговля Sonic (S)С легкостью торгуйте Sonic (S) на спотовом рынке HTX. Просто зайдите в свой аккаунт, выберите торговую пару, совершайте сделки и следите за ними в режиме реального времени. Мы предлагаем удобный интерфейс как для начинающих, так и для опытных трейдеров.

1.5k просмотров всегоОпубликовано 2025.01.15Обновлено 2026.06.02

Как купить S

Sonic: Обновления под руководством Андре Кронье – новая звезда Layer-1 на фоне спада рынка

Он решает проблемы масштабируемости, совместимости между блокчейнами и стимулов для разработчиков с помощью технологических инноваций.

2.3k просмотров всегоОпубликовано 2025.04.09Обновлено 2025.04.09

Sonic: Обновления под руководством Андре Кронье – новая звезда Layer-1 на фоне спада рынка

HTX Learn: Пройдите обучение по "Sonic" и разделите 1000 USDT

HTX Learn — ваш проводник в мир перспективных проектов, и мы запускаем специальное мероприятие "Учитесь и Зарабатывайте", посвящённое этим проектам. Наше новое направление .

1.8k просмотров всегоОпубликовано 2025.04.10Обновлено 2025.04.10

HTX Learn: Пройдите обучение по "Sonic" и разделите 1000 USDT

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на S (S) представлены ниже.

活动图片