Average Crypto Trader Losses Reached $500 Million Per Day in 2025

RBK-cryptoОпубликовано 2025-12-25Обновлено 2025-12-25

Введение

According to a Coinglass report, the total volume of forced liquidations of margin-based trading positions on crypto exchanges neared $150 billion in 2025. The estimated average daily liquidation volume throughout the year ranged from $400 million to $500 million. A record-breaking single-day liquidation event occurred on October 11, accounting for nearly 15% of the annual total with nearly $20 billion in futures positions liquidated. This was triggered by US President Donald Trump's announcement of new 100% tariffs on Chinese imports and export controls on critical software, which sparked fears of a new trade war and caused a sharp shift towards risk-off sentiment. Bitcoin and Ethereum fell by 10-15% at their peak, while many altcoins crashed by 80% or more. The crash exposed key market vulnerabilities, including reliance on opaque liquidation mechanisms, fragile infrastructure under peak load, and a lack of effective circuit breakers common on traditional exchanges. Unlike the Terra (LUNA) collapse in 2022, this event did not lead to a cascade of institutional investor defaults, as the risks were concentrated in specific strategies and assets rather than being systemic.

In 2025, the total volume of forced liquidations of margin-based trading positions on cryptocurrency exchanges approached $150 billion, according to a Coinglass report. The estimated average daily liquidation rate throughout the year ranged from $400 million to $500 million.

This refers to the nominal value of positions including leverage (a $100 position with 10x leverage counts as $1000 in the total loss amount), but even with this adjustment, the scale of the losses remains impressive.

Nearly 15% of the annual liquidation volume occurred in a single day—on the night of October 11th, when the crypto market experienced the largest cascade of futures position liquidations in history, with a total volume of nearly $20 billion. This set an absolute record for the volume of forcibly closed trading positions on cryptocurrency exchanges.

The event occurred against the backdrop of U.S. President Donald Trump announcing new 100% tariffs on imports from China, as well as export controls on critical software. This sharply increased expectations of a new trade war, as Coinglass writes, which forced markets into a "risk-off" mode, meaning a retreat from high-risk assets, including Bitcoin and other cryptocurrencies.

Experts note that the scale of the consequences was determined not only by external factors but also by the structure of the leverage used and the functioning of liquidation mechanisms. During exchange overload, Auto-Deleveraging (ADL) mechanisms were triggered, and trades were executed at unfavorable prices, causing losses even for profitable traders.

Bitcoin and Ethereum lost 10–15% at their peak, while many altcoins collapsed by 80% or more.

The Coinglass report stated that the crash of that day revealed key market vulnerabilities: reliance on opaque liquidation mechanisms, the fragility of infrastructure under peak loads, and the lack of effective circuit breakers that exist on traditional exchanges.

Unlike the crash of the Terra (LUNA) project in 2022, this collapse did not lead to a series of defaults by institutional investors. The risks were not systemic and were concentrated in specific strategies and assets, noted Coinglass.

How the Base Blockchain Ecosystem is Structured. Top 5 Applications

AI Outperformed Humans in a Crypto Trading Tournament. What Were the Results

Miner "Capitulation" Called a Bullish Factor for Bitcoin. Why

Связанные с этим вопросы

QWhat was the average daily liquidation amount for crypto traders in 2025 according to the Coinglass report?

AThe average daily liquidation amount ranged from $400 million to $500 million in 2025.

QWhat event on October 11 triggered the largest cascade of futures liquidations in crypto market history?

AUS President Donald Trump announced new 100% tariffs on imports from China and export controls on critical software, which sharply increased expectations of a new trade war.

QWhat were the maximum losses for Bitcoin and Ethereum during the market crash described in the article?

ABitcoin and Ethereum lost 10-15% at their maximum, while many altcoins collapsed by 80% or more.

QWhat key market vulnerabilities were exposed by the crash according to the Coinglass report?

AThe key vulnerabilities were dependence on opaque liquidation mechanisms, infrastructure fragility during peak loads, and the lack of effective circuit breakers that exist on traditional exchanges.

QHow did this market crash differ from the Terra (LUNA) collapse in 2022 in terms of institutional impact?

AUnlike the Terra collapse, this crash did not lead to a series of defaults by institutional investors. The risks were not systemic and were concentrated in specific strategies and assets.

Похожее

The Largest IPO in History Ignites Heated Debate: Is SpaceX Worth $1.77 Trillion?

SpaceX's potential IPO is priced at $135 per share, aiming to raise $75 billion and valuing the company at approximately $1.77 trillion, which would make it the largest IPO in history. This valuation has sparked intense debate among investors. Bullish analysts, including major underwriters Goldman Sachs and Morgan Stanley, argue the valuation is justified by SpaceX's long-term potential. They see it not just as a rocket company but as a future leader in space infrastructure, with key growth drivers being Starlink satellite internet, low-cost rocket launches, and future AI-related ventures. They project revenues reaching hundreds of billions to trillions of dollars by 2030-2040. ARK Invest's model suggests a 2030 enterprise value could reach $2.5 trillion. Bearish analysts from independent research firms like Morningstar, PitchBook, and New Constructs contend the IPO price is excessively high, already pricing in unrealistic future growth. Using DCF and sum-of-the-parts models, they estimate fair value between $780 billion and $1.7 trillion, significantly below the IPO target. They highlight risks such as the speculative nature of AI projections, over-dependence on Elon Musk, high growth expectations, and corporate governance concerns. Trefis set a target price of just $79 per share. While both sides acknowledge SpaceX's unique position in commercial space, the core disagreement centers on whether the $135 share price offers a reasonable margin of safety or is overly optimistic. Despite the valuation controversy, reported strong demand for the IPO indicates significant market interest.

marsbit46 мин. назад

The Largest IPO in History Ignites Heated Debate: Is SpaceX Worth $1.77 Trillion?

marsbit46 мин. назад

After the Passage of the GENIUS Act and the CLARITY Act, What Is the Correct Architecture for On-Chain Yield?

The article discusses the evolution of on-chain credit, distinguishing three markets: overcollateralized crypto lending, unsecured lending (largely unsuccessful), and asset-backed credit (ABC). ABC, backed by identifiable real-world collateral with legal recourse, is identified as the fastest-growing category and the only one credibly addressing adverse selection—the core problem in credit where the riskiest borrowers self-select. Current growth in on-chain Real World Assets (RWAs), particularly tokenized private credit funds (e.g., Maple Finance, Centrifuge), is substantial but often merely "wraps" existing fund structures, inheriting their risks rather than solving adverse selection at the protocol level. The regulatory landscape is a key driver, with the US GENIUS Act (prohibiting stablecoin issuers from paying yield) and the proposed CLARITY Act (closing loopholes on indirect yield) set to redefine permissible yield-bearing products. This makes vaults (like ERC-4626) the critical architecture—they become the primary compliant vehicle for delivering yield, functioning as issuance, disclosure, distribution, and recovery mechanisms. The author's thesis is that the correct post-GENIUS/CLARITY architecture involves building ABC solutions where credit assessment, structure, and recovery are encoded directly into the smart contract vault layer, moving beyond mere tokenized fund wrappers to solve adverse selection fundamentally and ensure regulatory compliance.

Foresight News1 ч. назад

After the Passage of the GENIUS Act and the CLARITY Act, What Is the Correct Architecture for On-Chain Yield?

Foresight News1 ч. назад

TechFlow Intelligence Bureau: Anthropic's New Model Fable Sparks Controversy by Restricting Biosafety Research, US CPI Soars to 4.2%, a Three-Year High

**Summary of TechFlow Intelligence Report:** The newsletter covers several key tech and finance developments. In AI, Anthropic's new Fable model faced backlash for secretly limiting biomedical research capabilities and enforcing a 30-day data retention policy, prompting the company to promise more transparent adjustments. In a related story, Anthropic's founder revealed his departure from OpenAI was due to dishonesty from Sam Altman, not safety concerns. Meanwhile, OpenAI is considering significant price cuts to compete with Anthropic, potentially sparking a price war. In crypto/Web3, BlackRock filed a new amendment for a yield-generating Bitcoin ETF, while Bank of America's CEO warned that stablecoin yields could drain trillions from traditional banks. U.S. Senator Cynthia Lummis advocated for the U.S. to officially accumulate Bitcoin reserves. In hardware, Nvidia released the DiffusionGemma-2-6B image model optimized for efficient inference, and AMD promoted its unified memory architecture to challenge Nvidia's dominance. TSMC's CFO hinted at possible price increases due to soaring AI chip demand. A major legal ruling in Germany held Google legally responsible for inaccurate information generated by its AI Overviews feature. Google Chrome also moved to fully block ad-blocker workarounds like uBlock Origin. Macroeconomic headlines included U.S. CPI rising to 4.2% (a 3-year high) and Iran's complete closure of the Strait of Hormuz, raising oil price and inflation fears. South Korean markets saw continued volatility with massive foreign capital outflow. Other notable stories: Microsoft expanded its Copilot AI assistant "Mico" globally; a study found r/wallstreetbets users' stock picks outperformed Wall Street; a fully autonomous drone killed a human soldier for the first time, raising AI ethics concerns; and a Chinese hospital used brain-computer interface technology to help a blind person "see." The overarching theme connects debates over AI boundaries and responsibility (Anthropic's restrictions, Google's liability, lethal autonomous drones) with real-world economic and geopolitical turmoil (inflation, Strait of Hormuz closure, market instability), highlighting the tense interplay between technological advancement and global chaos.

marsbit1 ч. назад

TechFlow Intelligence Bureau: Anthropic's New Model Fable Sparks Controversy by Restricting Biosafety Research, US CPI Soars to 4.2%, a Three-Year High

marsbit1 ч. назад

Alibaba's Yet Another New Business Division: What Signal Does It Send?

Alibaba has established a new "Token Foundry" business unit, merging its Tongyi large model division and Future Life Lab. Led directly by Group CEO Wu Yongming, this marks the company's third significant AI organizational reshuffle in 2026, following the creation of the Alibaba Token Hub (ATH) and a Group Technology Committee. The move signals a strategic shift from consolidating AI resources to accelerating productization and commercialization. The "Token Foundry" name reflects Alibaba's ambition to become a foundational supplier in the AI era, focusing on model development and commercial application. Key teams, including those behind the high-performing HappyHorse video generation model, have been integrated into the new unit. Concurrently, Zhou Jingren, architect of the Qwen model series, has been appointed Group Chief Scientist to lead a new AI Future Research Institute, focusing on long-term technological breakthroughs like Agent capabilities. This restructuring creates a clear four-layer AI architecture within Alibaba: the research institute for frontier exploration, Token Foundry for core models and commercialization, MaaS for platform services, and business units like Qianwen (C端) and Wukong (B端) for end-user applications. The adjustments align with a global trend among tech giants like Google and Microsoft to centralize AI leadership under the CEO and deeply integrate research with business units. The urgency is driven by a narrowing competitive window. Alibaba has announced its AI business is now entering a commercialization phase, with AI-related revenue seeing triple-digit growth for eleven consecutive quarters. The company faces intense competition in the MaaS (Model-as-a-Service) sector from rivals like ByteDance and Tencent. The Token Foundry initiative represents Alibaba's effort to streamline execution and enhance competitiveness in this critical, fast-evolving landscape.

marsbit2 ч. назад

Alibaba's Yet Another New Business Division: What Signal Does It Send?

marsbit2 ч. назад

Торговля

Спот
Фьючерсы
活动图片