CoinMarketCap Has Released January 2026 Major Crypto Exchange Reserves Ranking Report

TheNewsCryptoОпубліковано о 2026-02-04Востаннє оновлено о 2026-02-04

Анотація

CoinMarketCap has released its January 2026 crypto exchange reserves report, ranking eight major platforms by total reserves. Binance leads with $155.64 billion, followed by OKX ($31.29B) and Bybit ($14.17B). KuCoin ranks last with $2.16B. The report also breaks down reserve compositions, highlighting that MEXC and KuCoin hold the highest stablecoin percentages, while Bitget has the most BTC & Derivatives exposure. Community reactions note Binance's dominant market position and the industry's focus on liquidity quality over size. Additionally, the overall crypto market cap is down 2.21% to approximately $2.57 trillion.

CoinMarketCap has just dropped new data, sharing details about reserves of exchanges for January 2026. The list ranks exchanges while also breaking down their compositions. The community has acknowledged the list and compared the quality of liquidity with the size of liquidity.

Jan 2026 Exchange Reserves Ranking Report by CoinMarketCap

CoinMarketCap, through an X post, has ranked different exchange platforms based on their total reserves for January 2026. CoinMarketCap has underlined the dominance of Binance while noting a difference in every company’s scale, asset strategies, and liquidity.

Binance has a total reserve of $155.64 billion. It is followed by OKX with $31.29 billion in total reserves. The difference is stark – hence, establishing the dominance of Binance. Bybit is ranked third on the list with reserves worth $14.17 billion. KuCoin ranks 8th, last, on the list with $2.16 billion in reserves.

Gate and HTX are 4th and 5th on the list, respectively. Their reserves stand at $7.86 billion and $6.92 billion, applicable in the same order. Bitget and MEXC are between HTX and KuCoin, in the same sequence, holding approximately $5.33 billion and $2.97 billion, respectively.

Breakdown of Crypto Exchanges Reserves on the List

CoinMarketCap has broken down their reserves into five categories, namely Stablecoins, Other Alt Coins, Exchange Own Tokens, ETH & Derivatives, and BTC & Derivatives. MEXC has the highest stablecoin reserve of 78.97%, followed by KuCoin, which has 55.08% of the composition of stablecoins. HTX has only 23.37%.

Bitget has the highest BTC & Derivatives in its reserves (53.02%). Other Alt Coins are the least held tokens in the reserves. Bitget, KuCoin, and MEXC don’t have any allocation for the alt coin segment. Overall, reserves of all 8 exchanges are heavily led by stablecoins and BTC & Derivatives.

Comments from the Community

A few members from the community have noted that exchanges have emphasized the quality of liquidity over the size of liquidity. Another member has hailed Binance’s dominance, which dwarfs the competition with unmatched liquidity and trust in the market.

More highlights from CoinMarketCap cover its CMC20 Index, which is down by 2.47%. The list has the top 20 cryptocurrencies and shows a value of $157.08 at the time of writing this article. Also, the collective market cap of the crypto sector is down by 2.21%, hovering around $2.57 trillion right now.

Highlighted Crypto News Today:

Bitwise Acquires Chorus One to Boost Crypto Staking

Пов'язані питання

QWhich exchange has the highest total reserves according to CoinMarketCap's January 2026 report, and what is the amount?

ABinance has the highest total reserves at $155.64 billion.

QWhat is the rank and total reserve amount of KuCoin exchange in the ranking?

AKuCoin ranks 8th (last) on the list with $2.16 billion in reserves.

QWhich exchange has the highest percentage of stablecoins in its reserves, and what is that percentage?

AMEXC has the highest stablecoin reserve percentage at 78.97%.

QWhat are the two main categories that heavily lead the reserves of all 8 exchanges mentioned in the report?

AThe reserves of all 8 exchanges are heavily led by stablecoins and BTC & Derivatives.

QWhat was the community's observation regarding the emphasis of exchanges as noted in the article?

AThe community noted that exchanges have emphasized the quality of liquidity over the size of liquidity.

Пов'язані матеріали

"Teletubbies" Robot Cleaning Service, $30/Hour, Pure·Manual·Intelligence

Anthropomorphic "Teletubby" robot offers cleaning services in San Francisco at $30/hour, but it's entirely remote-controlled. The robot, created by startup Tau Robotics, can perform household tasks like washing hands, mopping floors, and taking out trash. While the initial demo videos appear impressive and are notably shown at normal speed (unlike many sped-up robot demos), the company reveals the actions are performed via human teleoperation, not autonomous AI. Tau Robotics, founded in 2024, argues this "cheat" is a strategic way to bridge the current capability gap, ensure task completion, and collect real-world home data to eventually train autonomous systems. Their service features three robot models: Chelsea for kitchens/bathrooms, Elon for regular tidying with memory, and Tony for deep cleaning. Priced at $30 per hour, it's cheaper than average human cleaners in the US. The article discusses the broader challenge of deploying humanoid robots in homes, comparing Tau's approach to others like China's Ziliang and the US's 1X Neo, which also use teleoperation. A key reason for choosing a humanoid form is to make remote control more intuitive for human operators. The piece also notes the potential "emotional value" of having a humanoid servant. The service is currently invite-only in San Francisco.

marsbit11 хв тому

"Teletubbies" Robot Cleaning Service, $30/Hour, Pure·Manual·Intelligence

marsbit11 хв тому

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbit55 хв тому

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbit55 хв тому

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.

marsbit59 хв тому

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

marsbit59 хв тому

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.

marsbit59 хв тому

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

marsbit59 хв тому

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.

cointelegraph1 год тому

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

cointelegraph1 год тому

Торгівля

Спот