Stocks and Dollar Feel the Blow Along with the Global Crypto Market

TheNewsCryptoPublicado em 2026-01-20Última atualização em 2026-01-20

Resumo

The US dollar and global stocks have declined, diverting attention to the Greenland meeting. The crypto market also experienced a downturn, with its total market cap falling 2.24% and nearing the $3 trillion mark. Major cryptocurrencies like BTC and ETH dropped over 2% and 3.5%, testing key resistance levels at $90k and $3k respectively. The decline is partly attributed to Trump's announced tariffs on EU nations and international trade uncertainty, triggering a "Sell America" sentiment. Investors are seeking safety in gold and silver. A meeting in Davos is anticipated to address these tensions, as Trump's proposed tariffs, including rates up to 200% on French wines, are scheduled to take effect in 2026.

The US Dollar has plunged, and stocks have declined, with all attention now diverted to the Greenland meeting. The global crypto market has felt this pinch, evident from some of the top tokens losing their value significantly. Meanwhile, investors continue to seek a safety net in Gold and Silver.

Stocks and US Dollar

Stocks have plummeted, possibly reacting to Trump’s tariff announcement on EU nations. Nasdaq and S&P 500 have slipped by more than 1%. European futures have lost 0.27% while STOXX 600 is down by 1.2%. Japan’s Yen was last seen at 158.08 against the dollar.

The jolt of international uncertainty has hit American currency as well. The dollar index is $98.912, 0.18% lower, while the Swiss franc rose by 0.7% to a one-week high of 0.7956. As of now, per a report by Reuters, conversations around Sell America trade are gaining traction. This is a situation where investors look to sell the dollar, treasury bonds, and stocks.

Global Crypto Market Testing Key Resistance

The global crypto market cap is inching closer to the $3 trillion mark with the recent decline of 2.24%. The FGI has shifted to 42 points, and the Altcoin Index has slipped to 26 points. Top tokens like BTC and ETH are testing critical resistance levels after dropping 2.04% and 3.52% of their respective values in the last 24 hours.

BTC is trading at $91,102.11, while constantly testing the resistance at around $90k. ETH is exchanging hands at $3,097.86 with resistance pinned at approximately $3k. Other cryptocurrency market giants that have lost their momentum in the last 24 hours are BNB (-1.68%), XRP (-2.67%), and SOL (-3.56%), to mention a few.

Attention on Davos

International trade uncertainty, which acted as one of the major factors to trigger the ongoing turbulence in the crypto market, is rooted in, to some extent, Trump’s intention of taking over Greenland. A meeting is scheduled to happen in Davos, wherein it is anticipated that leaders will reach a consensus.

US President Donald Trump has already announced 2-phased tariffs. These are 10% & 25%, on EU nations. The former is tentatively scheduled to be effective on February 01, 2026, while the higher rate could go live on June 01, 2026.

Additionally, he has threatened to book a tariff rate of up to 200% on French wines and champagne with an aim to persuade French President Macron to join the Board of Peace.

Highlighted Crypto News Today:

Institutional Bitcoin Demand Surges as U.S. Custody Wallets Accumulate $53B

TagsCrypto MarketDollar

Perguntas relacionadas

QWhat are the main factors causing the decline in stocks and the US dollar according to the article?

AThe decline is attributed to Trump's tariff announcement on EU nations and international trade uncertainty, including his intention of taking over Greenland, which has diverted attention to the Greenland meeting.

QHow much has the global crypto market cap declined, and what is it approaching?

AThe global crypto market cap has declined by 2.24% and is inching closer to the $3 trillion mark.

QWhat are the current trading values and key resistance levels for BTC and ETH?

ABTC is trading at $91,102.11, testing resistance around $90k, while ETH is at $3,097.86 with resistance pinned at approximately $3k.

QWhat is the 'Sell America' trade mentioned in the article?

AThe 'Sell America' trade refers to a situation where investors look to sell the US dollar, treasury bonds, and stocks due to international uncertainty.

QWhat action has Trump taken regarding French wines and champagne, and why?

ATrump has threatened to impose a tariff rate of up to 200% on French wines and champagne to persuade French President Macron to join the Board of Peace.

Leituras Relacionadas

Morning Post | Trump Media Group Releases Q1 Financial Report; Top Three DeFi Applications Return Nearly $100 Million in Revenue to Token Holders in 30 Days; Michael Saylor Shares Bitcoin Tracker Info Again

**Title: Daily Briefing | Trump Media Group Releases Q1 Report; Top 3 DeFi Apps Return Nearly $100M to Token Holders; Michael Saylor Signals Potential Bitcoin Buy** **Summary:** Key developments in the past 24 hours include: * **Economic Outlook:** Goldman Sachs has pushed back its forecast for the next two Federal Reserve interest rate cuts to December 2026 and March 2027, citing persistent inflationary pressures from energy costs. This delayed timeline is expected to tighten liquidity flow into risk assets, including cryptocurrencies. * **DeFi & Revenue:** Data from DefiLlama shows that three leading DeFi applications—Hyperliquid, Pump.fun, and EdgeX—collectively distributed $96.3 million in revenue to their token holders over the last 30 days. This trend highlights a shift in the crypto community's focus towards real protocol earnings and sustainable economic models. * **Corporate Bitcoin Moves:** Michael Saylor, founder of MicroStrategy (note: referred to as 'Strategy' in the text, likely a typographical error), has signaled potential upcoming Bitcoin purchases by posting a "Bitcoin Tracker" update, following a pattern that typically precedes the company's official disclosure of new acquisitions. * **Market Integrity:** Prediction market platform Polymarket announced updates to address platform issues, including identifying and banning clusters of accounts involved in "ghost-fill" activities and implementing measures to prevent bulk account creation. * **Regulation:** The Bank of England Governor warned that stablecoin regulation could lead to tensions between US and international regulators. In South Korea, the National Tax Service has launched a pilot program to entrust seized virtual assets to private custody firms for management. * **Meme Token Trends:** GMGN data lists the top trending meme tokens on Ethereum (e.g., HEX, SHIB), Solana (e.g., FWOG, TROLL), and Base (e.g., SKITTEN, PEPE) over the past day. **Financial Note:** Trump Media & Technology Group reported a Q1 loss of approximately $4 billion, primarily attributed to unrealized losses on its Bitcoin and other digital asset holdings.

链捕手Há 27m

Morning Post | Trump Media Group Releases Q1 Financial Report; Top Three DeFi Applications Return Nearly $100 Million in Revenue to Token Holders in 30 Days; Michael Saylor Shares Bitcoin Tracker Info Again

链捕手Há 27m

Telegram Takes Direct Control of TON, Social Traffic Rewrites the Public Chain Narrative

Telegram founder Pavel Durov announced that Telegram will replace the TON Foundation as the core driver and largest validator of The Open Network (TON). Key initiatives include a sixfold reduction in transaction fees, performance upgrades, and improved developer tools within the next few weeks. This marks a strategic shift from Telegram merely providing user access to deeply integrating TON into its platform's core infrastructure. The goal is to transform Telegram's massive social traffic into sustainable on-chain activity. While viral mini-apps like Notcoin have demonstrated Telegram's ability to drive user adoption, TON aims to support frequent, low-value transactions inherent to social platforms—such as tipping, in-app payments, and game rewards. Ultra-low fees and sub-second finality (0.6 seconds) are crucial to making blockchain interactions seamless and nearly invisible within the Telegram user experience. However, Telegram's increased central role raises questions about network decentralization. Durov argues that Telegram's participation will attract more large validators, thereby enhancing decentralization. TON also offers high annual staking rewards (18.8%), aiming to retain capital within its ecosystem. The fundamental challenge for TON is no longer leveraging Telegram's user base, but becoming an indispensable, seamless infrastructure layer for Telegram's everyday applications—moving from an adjacent chain to an embedded utility.

marsbitHá 28m

Telegram Takes Direct Control of TON, Social Traffic Rewrites the Public Chain Narrative

marsbitHá 28m

Telegram Takes Direct Control of TON, Social Traffic Reshapes Public Chain Narrative

Telegram's founder, Pavel Durov, has announced a major shift in the development of The Open Network (TON). Telegram will now become the core driver of TON, replacing the TON Foundation and becoming its largest validator. The focus will be on technical upgrades over the next few weeks, including slashing network fees by six times to near-zero and improving finality time to 0.6 seconds. This move signifies a deeper integration between Telegram and TON, moving beyond just providing a user base. The goal is to transform Telegram's vast social traffic and built-in features—like Mini Apps, payments, and bots—into sustainable, on-chain usage scenarios. The reduced fees and faster speeds are crucial for enabling the small, frequent transactions typical of social interactions. While this promises stronger execution and product alignment, it raises questions about centralization. Durov argues Telegram's involvement will attract more validators, enhancing decentralization, but the outcome remains to be seen. Additionally, TON's high annual staking reward of 18.8% aims to retain capital within the ecosystem. The key challenge for TON is no longer just leveraging Telegram's entry point, but becoming an invisible, seamless infrastructure layer within Telegram's daily use. Its success hinges on converting viral attention into lasting, embedded utility.

Odaily星球日报Há 38m

Telegram Takes Direct Control of TON, Social Traffic Reshapes Public Chain Narrative

Odaily星球日报Há 38m

OpenAI Post-Training Engineer Weng Jiayi Proposes a New Paradigm Hypothesis for Agentic AI

OpenAI engineer Weng Jiayi's "Heuristic Learning" experiments propose a new paradigm for Agentic AI, suggesting that intelligent agents can improve not just by training neural networks, but also by autonomously writing and refining code based on environmental feedback. In the experiment, a coding agent (powered by Codex) was tasked with developing and maintaining a programmatic strategy for the Atari game Breakout. Starting from a basic prompt, the agent iteratively wrote code, ran the game, analyzed logs and video replays to identify failures, and then modified the code. Through this engineering loop of "code-run-debug-update," it evolved a pure Python heuristic strategy that achieved a perfect score of 864 in Breakout and performed competitively with deep reinforcement learning (RL) algorithms in MuJoCo control tasks like Ant and HalfCheetah. This approach, termed Heuristic Learning (HL), contrasts with Deep RL. In HL, experience is captured in readable, modifiable code, tests, logs, and configurations—a software system—rather than being encoded solely into opaque neural network weights. This offers potential advantages in explainability, auditability for safety-critical applications, easier integration of regression tests to combat catastrophic forgetting, and more efficient sample use in early learning stages, as demonstrated in broader tests on 57 Atari games. However, the blog acknowledges clear limitations. Programmatic strategies struggle with tasks requiring long-horizon planning or complex perception (e.g., Montezuma's Revenge), areas where neural networks excel. The future vision is a hybrid architecture: specialized neural networks for fast perception (System 1), HL systems for rules, safety, and local recovery (also System 1), and LLM agents providing high-level feedback and learning from the HL system's data (System 2). The core proposition is that in the era of capable coding agents, a significant portion of an AI's learned experience could be maintained as an auditable, evolving software system.

marsbitHá 1h

OpenAI Post-Training Engineer Weng Jiayi Proposes a New Paradigm Hypothesis for Agentic AI

marsbitHá 1h

Your Claude Will Dream Tonight, Don't Disturb It

This article explores the recent phenomenon of AI companies increasingly using anthropomorphic language—like "thinking," "memory," "hallucination," and now "dreaming"—to describe machine learning processes. Focusing on Anthropic's newly announced "Dreaming" feature for its Claude Agent platform, the piece explains that this function is essentially an automated, offline batch processing of an agent's operational logs. It analyzes past task sessions to identify patterns, optimize future actions, and consolidate learnings into a persistent memory system, akin to a form of reinforcement learning and self-correction. The article draws parallels to similar features in other AI agent systems like Hermes Agent and OpenClaw, which also implement mechanisms for reviewing historical data, extracting reusable "skills," and strengthening long-term memory. It notes a key difference from human dreaming: these AI "dreams" still consume computational resources and user tokens. Further context is provided by discussing the technical challenges of managing AI "memory" or context, highlighting the computational expense of large context windows and innovations like Subquadratic's new model claiming drastically longer contexts. The core critique argues that this strategic use of human-centric vocabulary does more than market products; it subtly reshapes user perception. By framing algorithms with terms associated with consciousness, companies blur the line between tool and autonomous entity. This linguistic shift can influence user expectations, tolerance for errors, and even perceptions of responsibility when systems fail, potentially diverting scrutiny from the companies and engineers behind the technology. The article concludes by speculating that terms like "daydreaming" for predictive task simulation might be next, continuing this trend of embedding the idea of an "inner life" into computational processes.

marsbitHá 1h

Your Claude Will Dream Tonight, Don't Disturb It

marsbitHá 1h

Trading

Spot
Futuros
活动图片

Categorias popularesright-arrow

Etiquetas Popularesright-arrow