Topics of Crypto World

Amid ongoing global economic uncertainty, capital allocation strategies are continually shifting. With their unique combination of safe-haven properties and industrial demand, metals markets have increasingly become a vital window for investors assessing macroeconomic trends. This article examines the distinct roles of precious and industrial metals in the marketplace, identifies the primary drivers behind metal price volatility, and discusses how digital trading is reshaping investor participation in commodity markets.

Gate TradFi has launched an advanced trading platform that seamlessly connects traditional financial assets—including gold, forex, and indices—with crypto assets, empowering users to trade freely in global markets.

Amid global stock market turbulence, the Gate Stock Token Zone gives investors a flexible avenue to engage with stock price movements. This article explores how to capitalize on market volatility through this dedicated section.

The Gate Contract Points System provides contract traders with a way to earn rewards based on their trading volume and asset management. This article will guide users through effectively participating in the system to fully maximize the value of their contract points.

Gate introduces a limited-time IDOS 7-day fixed-term Earn product, featuring annualized returns as high as 300% and a total cap of 34,000,000 IDOS. By integrating innovative storage technology, this offering delivers high-return investment opportunities for users.

Gate Private Wealth Management delivers tailored strategies for high-net-worth clients, enabling stable asset growth in the face of digital asset market fluctuations, mitigating risk, and securing sustained wealth expansion.

March 2026: As the war in the Middle East spreads, Dubai, the global hub for gold trading, is plunged into logistics paralysis. This article unpacks the "twilight of physical assets": While 10,938 wstETH were undergoing algorithmic liquidation on Aave, tons of physical gold at Dubai Airport were reduced to "stranded assets" due to airspace closures, forced to be sold at a \$30 per ounce discount. By contrasting gold's "shackles of weight" with Bitcoin's digital resilience—where "12 words can carry your entire net worth"—the article reveals how, amidst the extreme geopolitical environment of 2026, the logic of wealth is undergoing an irreversible paradigm shift from the "physical defense line" to "cryptographic sovereignty."

In March 2026, Bittensor (TAO) climbed over 46% for the month, while subnet tokens like Templar, TARGON, and Chutes also saw substantial increases. This article examines the drivers of TAO's growth, the dTAO mechanism, and the economic model of Bittensor AI subnets.

BEAT is the native token of the Audiera network, designed to support the sharing, access, and collaboration of music data within a decentralized environment. Through its token mechanism, Audiera aims to create a sustainable incentive structure that connects music creators, data contributors, and AI developers, allowing data provision, data usage, and technological development to operate within a coordinated ecosystem.

Gate Research Daily Report: On March 16, the crypto market showed a rebound and recovery, with both BTC and ETH moving higher. However, capital continues to concentrate primarily in major assets, while opportunities among altcoins are mainly reflected through structural rotation. Among trending tokens, DKA (+43.34%), G (+30.98%), and NOS (+25.81%) ranked as the top three gainers among assets with circulating market capitalizations above $10 million. At the industry level, the tax dispute over stablecoins in Brazil is intensifying, tokenized stock distribution is accelerating, and the regulatory treatment of payment stablecoins under net capital rules is showing signs of easing. Overall, the sector’s main trajectory continues to shift toward payment compliance, on-chain securities, and institutional-grade financial infrastructure.

On March 16, the crypto market showed a recovery trend. BTC reclaimed levels above $72,000, ETH's gains further expanded, and market funds were heavily concentrated in mainstream assets. Mid- and small-cap tokens mostly exhibited structural rotation. DKA, G, and NOS ranked as the top three gainers among assets with market caps exceeding $10 million, corresponding to the logistics data network, cross-chain infrastructure, and decentralized computing power sectors, respectively. At the same time, controversies over stablecoin taxation in Latin America, advancements in tokenized stock trading frameworks, and shifting regulatory expectations for payment-oriented stablecoins are driving the industry's focus to gradually shift from price speculation toward deeper financial infrastructure such as payments, settlement, and on-chain securities.Gate Research:

Ethereum co-founder Vitalik Buterin has recently put forward a new technical proposal to unify Ethereum nodes’ currently separate consensus and execution layer architectures, making node operation simpler. The proposal aims to reduce technical barriers so that more individual users can operate their own nodes, further advancing the network’s decentralization.

The Sky governance community has recently put forward a new funding allocation proposal, aiming to allocate around 70 million USDS as Genesis Capital to several Sky Agents. This capital will support the agent network’s early-stage operations and expansion. By involving more independent capital allocators, Sky intends to increase the diversity of capital deployment and further reinforce the yield foundation for the Sky Savings Rate.

An AI Agent API refers to the mechanism through which AI agents call AI models or external services via application programming interfaces (APIs). Through these APIs, AI agents can access large language models, data services, and blockchain applications, enabling them to automatically execute complex tasks without direct human intervention.

AI model routing refers to a technical mechanism that dynamically selects the most suitable AI model to handle a request when multiple models are available. It is also commonly called an AI model router or LLM router. Through a model routing system, AI applications can automatically choose different large language models based on factors such as task complexity, cost, and response speed, allowing them to balance performance and operational efficiency.