Quick Reads

With Ethereum’s shift to Proof-of-Stake (PoS), staking has emerged as a key strategy for investors seeking on-chain returns. Traditional staking models typically involve asset lock-up periods, restricting capital flexibility. This article explores the operational model of GTETH, detailing how its tokenized structure allows investors to earn staking rewards without sacrificing asset liquidity or strategic agility.

With the ongoing maturation of the crypto market, capital allocation is evolving from single digital assets toward global markets. Gate introduces Gate TradFi, utilizing a CFD trading model and stablecoin funding architecture to allow users to access international markets—such as stock indices, forex, and precious metals—within one account. This broadens the scope for asset allocation.

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.

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.

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.

AI agents in financial systems are software systems that can interpret goals, use external tools, gather market context, and decide which actions to take, while crypto trading bots are typically rule-based programs that execute predefined trading logic automatically. Agent-based systems have drawn more attention as crypto markets have become more fragmented across centralized exchanges, decentralized exchanges, wallets, news feeds, and on-chain data sources. Platforms such as Gate for AI reflect this shift by exposing trading, wallet, news, and on-chain capabilities to AI systems through Model Context Protocol (MCP) connections and modular skills, rather than limiting automation to a single execution script. The difference matters because crypto environments change quickly. Price moves, liquidity conditions, sentiment signals, and cross-platform opportunities often evolve faster than static rules can adapt. Understanding how bots and AI agents differ helps clarify where simple automation remains useful and wh

As artificial intelligence (AI) technology evolves at an unprecedented pace, enterprises and developers from all sectors are increasingly focused on how to efficiently manage and utilize AI models. To help lower the cost and complexity of AI application development, Gate has officially introduced GateRouter—an intelligent, efficient, and low-cost AI model routing platform.