Why is crypto down today? Tariff jitters, seller dominance explained

ambcryptoPubblicato 2026-01-20Pubblicato ultima volta 2026-01-20

Introduzione

The cryptocurrency market experienced a decline, with total capitalization dropping 1.97% to $3.05 trillion. Bitcoin fell below $94.5k, triggering market-wide sell-offs. The downturn was largely attributed to risk-off sentiment driven by U.S. President Donald Trump's signals of potential tariff actions against Europe, which also negatively impacted U.S. stock futures. Over $700 million in positions were liquidated on January 19th. While institutional demand remains strong—with companies like MicroStrategy and Metaplanet increasing Bitcoin holdings—it hasn't been sufficient to counter selling pressure. Analysts noted that sellers have regained dominance in derivatives markets, with the Taker Buy/Sell Ratio indicating a seller-controlled regime. Further downside is possible in the near term as bearish sentiment persists.

The crypto market capitalization was down 1.97% in the past 24 hours and was at $3.05 trillion at the time of writing. It was down 6.95% since the 14th of January.

Bitcoin [BTC] fell below the $94.5k level on the 19th of January, forcing market-wide selloffs.

U.S. President Donald Trump signaled tariff action against Europe, and this latest tariff-driven uncertainty helped explain why crypto is down today. Kobeissi Letter noted in a post on X that the U.S. stock market futures extended their session losses, too.

The Nasdaq 100 fell 1.6% amid trade war concerns. On the 19th of January, $700.5 million in positions were liquidated, followed by $301.7 million the next day at the time of writing.

Institutional demand vs. spot and derivatives seller dominance

Bitcoin is usually a good indicator of the crypto market sentiment. Altcoins sometimes act like leveraged BTC contracts and witness amplified moves in the same direction as Bitcoin.

They have generally reacted much more bearishly than Bitcoin, which explained why the Bitcoin Dominance has climbed slightly higher in the past six weeks. While Bitcoin can see sparks of sustained spot ETF inflows, such as last week, it does not guarantee a steady bullish trend.

Institutional demand was also going strong. CoinGecko Bitcoin Treasury data showed sizeable Bitcoin additions to holdings from Strategy [MSTR] and Metaplanet. AMBCrypto reported that Saylor hinted at another acquisition, having added 13,627 BTC to its reserves on the 12th of January.

Once more, this is not enough to sustain an uptrend.

Crypto analyst Axel Adler Jr revealed that sellers had regained control of the derivatives after weeks of bullish pressure. The Taker Buy/Sell Ratio showed that the 90-day taker aggression Z-score of -1.81 corresponded to a seller-dominant regime.

The metric’s recovery toward neutral levels would be an encouraging sign that the market sell orders were decreasing. For now, further downside is possible in the coming days.

Final Thoughts

Crypto is down today due to a combination of reasons, primarily the US-EU trade war that has led to a risk-off market sentiment.
Bitcoin taker sell pressure has mounted since Monday’s sell-off, and more losses are possible in the coming days.

Domande pertinenti

QWhat was the main reason for the crypto market downturn mentioned in the article?

AThe main reason was U.S. President Donald Trump signaling tariff action against Europe, which created uncertainty and led to a risk-off market sentiment.

QHow much did the total crypto market capitalization drop in the 24 hours prior to the article?

AThe total crypto market capitalization was down 1.97% in the past 24 hours, falling to $3.05 trillion.

QWhat does the Taker Buy/Sell Ratio's Z-score of -1.81 indicate about the market?

AA Taker Buy/Sell Ratio Z-score of -1.81 indicates a seller-dominant regime in the derivatives market.

QWhich two companies were noted for making significant additions to their Bitcoin holdings?

AMicroStrategy (MSTR) and Metaplanet were noted for making sizeable additions to their Bitcoin holdings.

QWhy have altcoins generally performed worse than Bitcoin recently, according to the article?

AAltcoins have generally reacted more bearishly than Bitcoin, sometimes acting like leveraged BTC contracts and witnessing amplified moves in the same direction, which is why Bitcoin Dominance has climbed slightly higher.

Letture associate

Apple Also Has to Pay Rent Now

Apple Pays Rent Too: The Two-Way Flow of "Traffic Tax" and "AI Capability Rent" Between Tech Giants For over two decades, Google has paid Apple an estimated $20 billion annually to remain the default search engine on Safari, a "traffic tax" for a critical user entry point. However, in 2026, the direction of this cash flow partially reversed. Apple agreed to pay Google roughly $1 billion per year to license its Gemini AI models, as Apple's own models reportedly struggled with complex tasks. This creates a unique dynamic: Apple acts as the "landlord" in the established search ecosystem, collecting rent from Google for access. Simultaneously, in the emerging AI arena, Apple becomes the "tenant," paying Google for access to cutting-edge AI capabilities it cannot currently match internally. While Apple claims its new models are "distilled" from Gemini outputs and contain "not a drop" of Google's original code, core dependencies remain. Its knowledge base is refined using Gemini's outputs, and its most powerful cloud model runs on Google's infrastructure. Apple has structured the deal as non-exclusive, allowing it to theoretically switch AI suppliers—a hedge against over-reliance. The future hinges on whether advanced AI models become a commodity (cheap and abundant) or remain a concentrated, scarce resource (expensive and controlled by few). Apple is betting on the former, leveraging its massive device ecosystem to be a powerful, choosy customer. If the latter proves true, its bargaining power could erode. This power dynamic is extending to developers. Apple, Google, and WeChat are all pushing for apps to expose their core functions as standardized "actions" or "intents" that their respective AI assistants (Siri, Gemini, WeChat AI) can directly call. The new scarce resource is no longer just app store visibility, but "being selected by the AI." The currency of "rent" has changed from a 30% revenue share to ceding control over how users interact with an app's functions.

marsbit8 min fa

marsbit8 min fa

Missed the SpaceX IPO? WEEX's "First Trade Protection" Lets You Experience US Stock Trading Risk-Free.

With the excitement around SpaceX's recent public listing reigniting interest in the US stock market, Chinese investors face significant challenges accessing compliant and convenient trading channels following regulatory actions against major online brokers. This article explores the available options, highlighting their risks and limitations. Traditional paths for US stock investments remain problematic. Qualified Domestic Institutional Investor (QDII) and Listed Open-Ended Fund (LOF) products, while compliant, suffer from high fees, significant purchase premiums, and a very limited selection of assets. Small, unregulated offshore brokers pose substantial risks, including potential insolvency. While secure, VIP accounts at banks in Hong Kong or Singapore require high minimum deposits (often 1-2 million RMB) and in-person visits, placing them out of reach for most retail investors. The article positions cryptocurrency exchanges, specifically their TradFi (traditional finance on-chain) offerings, as a compelling alternative. Platforms like WEEX are noted for providing access to a wide range of US stocks and ETFs, including SpaceX (SPCXON), through tokenized assets. This method offers advantages such as a single account for both crypto and traditional assets, USDT-based settlement avoiding fiat complexities, flexible leverage, and robust risk management. To attract users, WEEX is promoting a "First Trade Guarantee" campaign. Running from June 15 to July 8 (UTC+8), it features a $30,000 prize pool. Users who trade $500 worth of US stock contracts can qualify for a guarantee on their first eligible trade: 100% loss coverage up to $30 or a 20% bonus on profits up to $30. The campaign is presented as a low-risk opportunity for both crypto natives and traditional investors to experience US stock trading.

marsbit9 min fa

Missed the SpaceX IPO? WEEX's "First Trade Protection" Lets You Experience US Stock Trading Risk-Free.

marsbit9 min fa

How Difficult is Chip Making? A Division Error Costs 475 Million Dollars

How Hard Is It to Make a Chip? A Division Error Cost $475 Million Chip expert Shi Kan, a researcher at the Chinese Academy of Sciences and a popular tech creator, explains the immense challenges of chip development. Chips are foundational to modern technology, but their creation is extraordinarily difficult. The journey from sand to a functional chip involves complex design and manufacturing, but a critical bottleneck is verification—ensuring the design works flawlessly before costly production. A single, undetected bug can have catastrophic consequences, as illustrated by the infamous 1994 Intel Pentium FDIV bug. A flaw in the floating-point division unit forced a recall costing $475 million. Unlike software, chips cannot be easily patched after manufacture, making "first-time success" paramount. However, industry surveys show only 24% of chip projects achieve this; over three-quarters require at least one costly re-spin due to design flaws. Verification has thus become the dominant phase, consuming up to 70% of the design cycle. The core challenge is a "verification impossible triangle" between high performance, good debuggability, and low cost. Exhaustively verifying a modern CPU core could take 15,000 years with software simulation, or 30 years with advanced hardware emulation—timeframes utterly impractical for development. Despite being essential, verification is often seen as unglamorous "dirty work," receiving less academic attention than fields like AI. Shi and his team are tackling this by developing an agile verification research framework called ENCORE, based on FPGA technology, to improve verification efficiency and debug capability. Beyond research, Shi engages in public science communication through long-form video content, aiming to demystify chip technology, AI, and computer science. He argues for the value of pursuing "hard and long-term" endeavors, whether in the meticulous world of chip verification or in creating substantive educational content, believing such sustained effort is likely the right path forward.

marsbit19 min fa

How Difficult is Chip Making? A Division Error Costs 475 Million Dollars

marsbit19 min fa

Claude to Mandate "Face-Scan ID Verification", No ID No Service Starting July?

Anthropic, the creator of Claude AI, has sent privacy policy update emails to users, signaling a significant shift. The key change, effective July 8, is the potential requirement for consumer-level users (Free, Pro, Max plans) to verify their age or identity. This verification would be conducted through the third-party service Persona, involving uploading a government-issued photo ID and taking a live selfie for comparison. Anthropic states this data is for security purposes only, will not be used for model training, and is processed by Persona, not stored on its own servers. The update also clarifies data handling for Claude's new capabilities: when performing multi-step tasks or connecting to third-party apps, user data may flow between Anthropic and those external services. Additionally, more information may be collected from users who participate in Anthropic research. This move is seen as a major step towards establishing accountability as AI agents become more powerful and autonomous, capable of executing complex, real-world tasks. It follows previous enforcement actions, like the banning of the "Fable 5" account, and indicates a broader industry trend toward stricter user identification and safety measures. The verification is expected to apply in specific scenarios, particularly as users engage Claude in more complex agentic workflows.

链捕手31 min fa

Claude to Mandate "Face-Scan ID Verification", No ID No Service Starting July?

链捕手31 min fa

Blockchain Has Finally Started to Sail into the Mainstream After 18 Years

Blockchain Finds Its True Path After 18 Years: Becoming the Financial Backbone for AI Agents and Autonomy This analysis explores a pivotal shift in the blockchain and crypto investment landscape, driven by the dominance of AI. Major venture capital firms, including Variant, Paradigm, Haun Ventures, and YZi Labs, are moving beyond pure "crypto" investment theses. They are expanding their focus to AI, robotics, and frontier tech, signaling that blockchain is no longer seen as a standalone sector but as an underlying infrastructure layer. The core argument is that blockchain's killer application may not be user-facing apps, but rather providing the economic rails for the coming wave of AI agents, autonomous robots, and automated systems. Key capabilities like self-custody wallets, programmable stablecoins for micropayments, on-chain identity, and verifiable smart contracts are positioned as essential for a future where machines conduct economic activity. The recent $1.4 billion investment by Tether (via its venture arm) in German robotics company NEURA Robotics exemplifies this, aiming to embed Tether's wallet tools directly into robots for autonomous transactions. While many "AI + Crypto" projects remain superficial, the article concludes that true value lies where crypto is a necessary component—enabling machine-to-machine payments, agent autonomy, verifiable data provenance, and open financial settlement for the AI era. For crypto venture capital, this convergence with AI represents both an adaptation to shifting capital flows and a potential path to unlocking the large-scale, non-speculative utility the industry has long sought.

marsbit40 min fa

Blockchain Has Finally Started to Sail into the Mainstream After 18 Years

marsbit40 min fa

Trading

Spot

Futures