Global Crypto Economy Holds Above the $2 Trillion Zone for 5 Consecutive Days

newsbtcPubblicato 2022-03-28Pubblicato ultima volta 2022-03-27

Introduzione

The crypto economy has managed to remain above the $2 trillion mark during the last five days since March 22.

The crypto economy has managed to remain above the $2 trillion mark during the last five days since March 22. Currently, the global cryptocurrency market capitalization is 1.3% higher during the last 24 hours, as the valuation stands at $2.1 trillion today. Furthermore, the price of bitcoin jumped over the $46K zone on Sunday as well capturing an $870 billion market cap.

Digital Assets Gain This Week, Bitcoin Cracks $46K, TVL in Defi Holds Above $200 Billion

Digital currencies have gained in value during the last seven days and for five consecutive days, the crypto economy’s total value has held above $2 trillion. The last time the crypto economy was above the $2 trillion zone was during the first week of March.

Global Crypto Economy Holds Above the $2 Trillion Zone for 5 Consecutive Days

At 4:45 p.m. (ET) on Sunday, March 27, 2022, the price of bitcoin (BTC) tapped a high of $46,615 per unit.

During the last seven days, bitcoin (BTC) increased by 8.9% and ethereum (ETH) gained 8.5% against the U.S. dollar. Out of the top ten largest crypto market caps, cardano (ADA) saw the biggest seven-day gain with ​​26.5% this week.

Global Crypto Economy Holds Above the $2 Trillion Zone for 5 Consecutive Days

The crypto economy has managed to stay above the $2 trillion mark for five consecutive days. Data from coingecko.com from March 19 to March 26, 2022. Bitcoin rose above the $46K mark at 4:45 p.m. (ET) and at the same time ethereum jumped above the $3,220 region on Sunday.

The 13,421 crypto assets traded on 587 exchanges currently has a market valuation of $2.1 trillion and its risen 1.3% during the last day.

The biggest gainer during the last week was zilliqa (ZIL) jumped 148% this week, convex finance (CVX) spiked 53.2% higher, and vechain (VET) increased by 44.9% over the last seven days.

The top privacy coins by market valuation increased by 3.4% in 24 hours, and the top smart contract platform coins by market capitalization rose in value by 1.7% on Sunday. Furthermore, the top rebase tokens by market capitalization increased by 9% during the last 24 hours against the U.S. dollar.

While the value of the crypto economy is $2.1 trillion on Sunday, over the last day there’s been $78.5 billion in global trade volume on exchanges.

At the time of writing, bitcoin (BTC) has a market dominance of around 40.3% of the crypto economy’s value and ethereum (ETH) represents 18% of the $2.1 trillion. The stablecoin tether (USDT), which is the third-largest crypto market valuation, has a market dominance today of around ​​3.84%.

Global Crypto Economy Holds Above the $2 Trillion Zone for 5 Consecutive Days

The total value locked (TVL) in decentralized finance (defi) on Sunday is $216 billion as it’s increased by 1.04% during the last 24 hours.

Out of the $78.5 billion in global trade volume on exchanges, $42.7 billion of those trades are swapped with stablecoins. The overall value of the stablecoin economy on Sunday is $188.9 billion.

In addition to the $2.1 trillion crypto economy, $216.58 billion is locked in decentralized finance (defi) protocols. The total value locked (TVL) in defi today has increased 1.04% in value during the last 24 hours. The largest defi protocols in terms of TVL include Curve Finance, Makerdao, Lido, Anchor, and Aave.

Tags in this story
$2 Trillion, $2 trillion mark, $2 trillion zone, Bitcoin, Bitcoin (BTC), bitcoin dominance, BTC, crypto economy, Crypto Economy Valuation, DeFi, Dominance, ETH, Ethereum (ETH), Fiat, Increases, Markets, markets and prices, privacy coins, rebase tokens, smart contract coins, Stablecoins, TVL in defi, USD, vechain (VET), zilliqa (ZIL)

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AI Relay Stations Spark Heated Debate on Zhihu: Behind Cheap Tokens, What Are Users Really Worried About?

A discussion on Zhihu about "AI relay stations" shifted the niche developer topic of "cheap tokens" into broader user awareness. Users moved beyond simply questioning the legitimacy of these services to focus on practical concerns: Where do cheap tokens truly come from? Is the model being accessed the real one? Can relay stations see prompts, code, and API keys? For occasional users, are the risks worth it? The core debate centered less on price and more on trust. A primary worry is model authenticity—the risk of "model swapping," where users paying for a premium model might be routed to a cheaper one, creating an information asymmetry. Others argued that cost comparisons matter; while cheaper than official pay-as-you-go APIs, relay stations may not be the lowest-cost option versus subscriptions, domestic models, or free tiers, making user needs assessment crucial. Speculation about token sources ranged from legitimate bulk discounts to gray-area methods like account sharing or exploiting regional pricing. This opacity makes risk assessment difficult for users. Data security emerged as a critical concern, especially for enterprise use. When processing sensitive information like code, contracts, or client data, the inability to verify a relay station's data handling, retention, or access policies poses significant compliance and confidentiality risks. The evolving consensus suggests relay stations can be used cautiously for low-sensitivity, disposable tasks (e.g., summarizing public info, simple translation). However, they should not be the default for sensitive, professional, or production workflows involving proprietary data, Agents, or automated systems. Recommendations include avoiding large prepayments, not relying on a single service, using test prompts to monitor quality, anonymizing data where possible, and keeping official channels as backups. Ultimately, the discussion framed tokens not just as a billing unit but as a measure of real cost encompassing price, model integrity, data security, and service stability. The popularity of relay stations highlights user demand for affordable access, but the debate underscores a key trade-off: the savings from cheap tokens may come at the price of trust, transparency, and control over one's data and AI experience.

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AI Relay Stations Spark Heated Debate on Zhihu: Behind Cheap Tokens, What Are Users Really Worried About?

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In-Depth Research Report on TradFi: The Convergence Wave of Crypto and Traditional Finance

In 2026, the crypto industry is undergoing a profound infrastructure-level transformation—TradFi assets are migrating on-chain at an unprecedented pace. According to CoinGecko's Q1 2026 report, the total value locked (TVL) of tokenized real-world assets (RWA) has surpassed $31 billion, a nearly 4x increase from $7.8 billion at the beginning of 2025, with the sector’s aggregate market capitalization reaching $19.3 billion. Among these, the market cap of tokenized stocks surged from $2 million to $486 million, with Q1 spot trading volume reaching $15.1 billion—a single quarter already surpassing the entire second half of 2025. RWA perpetual contract Q1 trading volume reached a staggering $524.8 billion, far exceeding the $313 billion for all of 2025. Meanwhile, BlackRock's BUIDL fund has reached $2.3 billion in scale and has filed for two new tokenized funds, signaling that the world's largest asset manager's tokenization strategy is evolving from pilot to product suite expansion. HTX, as a core participant in the crypto exchange sector, officially launched TradFi perpetual futures products including NVDA, AAPL, MSFT, META, and SPY in 2026, enabling crypto users to gain 24/7 trading access to core U.S. equities. Boston Consulting Group predicts that global tokenized asset scale could reach $16 trillion by 2030, while McKinsey offers a conservative estimate of approximately $2 trillion. The on-chain migration of TradFi assets is no longer a "future narrative" but a structural transformation unfolding in real time, as crypto exchanges evolve from single crypto asset trading platforms toward "multi-asset-class trading infrastructure."

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In-Depth Research Report on TradFi: The Convergence Wave of Crypto and Traditional Finance

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Blocked Its Own Treasure, WeChat AI Steps Up

Tencent's stock surged over 10% on June 2nd amid reports that WeChat, with 1.43 billion monthly users, is finalizing tests for a native AI Agent. The reported feature, accessible by swiping right from the main interface, allows users to issue commands in natural language. The AI then decomposes tasks and automatically calls upon relevant Mini Programs within WeChat to complete actions like ordering food, booking tickets, or making payments, creating a closed-loop service execution system. This strategic shift follows the internal conflict and subsequent "blocking" of Tencent's standalone AI app, Yuanbao, by WeChat for violating sharing rules during a 2026 Spring Festival promotion. The incident highlighted a lack of internal consensus and exposed the weakness of competing in the standalone AI assistant arena against rivals like ByteDance's Doubao (345M MAU) and Alibaba's Qianwen. The new WeChat AI Agent aims to leverage WeChat's unique assets—its massive user base, standardized Mini Program APIs, WeChat Pay, and identity system—to move from simple content generation to actual task execution. Analysts note this changes the competitive landscape from model benchmarks to which AI can connect to more real-world services. However, success depends on key variables: the capability of Tencent's underlying Hunyuan model, managing massive inference costs, and redesigning incentives for Mini Program developers whose traffic might be bypassed. The move is seen as an attempt to keep user service intent within WeChat's ecosystem as AI begins to redefine how users access services.

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Blocked Its Own Treasure, WeChat AI Steps Up

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ByteDance Adopts Arm CPUs, Jensen Huang: So Sad I Didn't Buy Arm

**Summary:** At Computex 2026, Arm CEO Rene Haas announced that ByteDance and Oracle have adopted Arm's self-designed Arm AGI data center CPU. The company expects significant revenue growth from this product, projecting $20 billion in demand for the 2027/2028 fiscal years. Haas noted that restricting AI-capable CPUs from the US to China is nearly impossible due to their widespread applications. Arm's stock has surged dramatically this year, notably rising 16% after NVIDIA's Arm-based Vera CPU and RTX Spark announcements. A highlight was the informal, humorous on-stage conversation between Haas and NVIDIA CEO Jensen Huang. Huang joked about NVIDIA's failed attempt to acquire Arm and playfully lamented selling his Arm shares. Both executives showed a clear sense of camaraderie and shared regret over the missed merger. Key technical topics were discussed: 1. **AI PC Design:** Huang explained NVIDIA's RTX Spark superchip (with a 20-core Arm CPU) is designed for future AI agents that will autonomously run and use tools on PCs, blending local and cloud processing. 2. **Agent vs. OS:** Huang emphasized the operating system remains crucial, as AI agents rely on its APIs and tools to function. 3. **Growth Constraints:** He identified the shift to "useful AI" that generates profitable tokens as a primary driver for immense, almost limitless, computational demand. Haas outlined Arm's strategy across PC and data centers. For PCs, Arm collaborates with partners like NVIDIA and MediaTek, offering its compute subsystem (CSS) for custom SoCs. In data centers, its Arm AGI CPU (built on TSMC's 3nm process) has gained major partners including OpenAI, Meta, and now ByteDance and Oracle. Arm presented a multi-year roadmap for its in-house CPU line. The article concludes that while GPUs dominated the AI training race, the explosion of AI agents is shifting significant focus to CPUs for inference, state management, and tool orchestration. The industry is trending towards vertical integration, with companies like cloud providers designing chips and chip/IP firms offering full solutions, all competing to deliver more efficient computing per watt.

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ByteDance Adopts Arm CPUs, Jensen Huang: So Sad I Didn't Buy Arm

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