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

RBK-cryptoPublicado em 2025-12-25Última atualização em 2025-12-25

Resumo

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

Perguntas relacionadas

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.

Leituras Relacionadas

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbitHá 3m

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbitHá 3m

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbitHá 3m

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbitHá 3m

Coldcard exploit sparks Bitcoin flight, ‘bullish’ crypto consolidation: Hodler’s Digest, August 2

A Coldcard hardware wallet exploit led to estimated losses of 1,367 BTC ($88.6 million), causing a spike in small Bitcoin transfers as users moved funds to centralized exchanges and other custody methods. In U.S. politics, the Clarity Act faces hurdles with time running out for a Senate vote, amid debates over ethics rules and crypto regulation. Major crypto firms like Coinbase reported disappointing Q2 earnings, while an analyst notes the industry is entering a significant consolidation phase, with revenue concentrating in a few dominant protocols like Hyperliquid and Pump.fun. Bitcoin's price decline continued, though some analysts suggest the market may have bottomed. Other news includes Telegram's legal troubles in Russia and Australia, layoffs at Pump.fun ahead of token distributions, and a White House staffer accused of insider betting leaving his post.

cointelegraphHá 20m

Coldcard exploit sparks Bitcoin flight, ‘bullish’ crypto consolidation: Hodler’s Digest, August 2

cointelegraphHá 20m

LATEST NEWS: Donald Trump makes a sharp statement regarding Iran! He has halted attacks

U.S. President Donald Trump announced he called off planned military strikes against Iran after Saudi Arabia, the UAE, Qatar, and Iran itself requested a delay. Trump stated the planned operation would have been large-scale and powerful but was suspended to allow time for diplomatic negotiations. He added that regional allies believe an agreement is near, with initial talks focused on security and reopening the Strait of Hormuz. Negotiations on Iran's nuclear program would follow once that is settled. The Strait of Hormuz is a vital global chokepoint for oil and gas shipments, and conflict there could significantly impact energy prices and world trade. Trump further announced that new talks with Iran will begin tomorrow. Separately, Trump commented on events involving the Japanese yen, stating the U.S. intervened in the market due to good relations with Japan, asserting Washington's consistent support for Tokyo and mutual economic benefits from the relevant rules. *This is not an investment recommendation.

cryptonews.ruHá 2h

LATEST NEWS: Donald Trump makes a sharp statement regarding Iran! He has halted attacks

cryptonews.ruHá 2h

Bank of Italy Finds No Systemic Advantages of Stablecoins in Transfers

A study by the Bank of Italy found that stablecoins do not offer a consistent advantage in cost or speed for cross-border money transfers. The research compared sending 200 USDC in 10 bilateral corridors (Italy to Brazil, Argentina, Japan, UAE, and South Africa) against standard money transfer services. While the final cost of stablecoin transfers ranged from 0.3% to nearly 9%, and were often cheaper than the global average cost of 6.65%, they only outperformed services like Wise in three out of seven comparable corridors. Key costs and delays were attributed to fees for converting to and from fiat currency and the quality of local payment infrastructure, not blockchain fees. Transfer times varied from under 20 minutes in corridors with instant payment systems to one or two business days where such infrastructure was lacking. The authors concluded that stablecoins' benefits would be more significant if they could be spent directly without conversion and noted that overly restrictive regulations complicate retail use without eliminating demand.

cryptonews.ruHá 2h