Gate Products

Gate TradFi Commodities Trading is a derivative-based trading system that enables users to use crypto assets as margin to speculate on global commodity prices through Contracts for Difference (CFDs), eliminating the need to hold the underlying assets directly. As multi-asset trading platforms evolve, this model has become widely adopted for bridging traditional financial markets and blockchain-based infrastructure, allowing users to access various asset classes within a single system.

Over the past week, global markets entered a risk-off phase, driven by hawkish Fed expectations and escalating geopolitical tensions. Climbing US Treasury yields weighed on risk asset valuations. Gold and silver, after strong rallies, each saw corrections of more than 10%. The crypto market weakened in parallel, with BTC dropping below $70,000. Meanwhile, crude oil held firm amid expectations of potential supply shocks, and energy factors continued to disrupt the inflation outlook. On the capital front, both BTC and ETH ETFs recorded net outflows, reflecting a slowdown in short-term capital inflows. Nevertheless, total AUM remained at elevated levels, as long-term allocation capital has not exited the market. On-chain, DEX liquidity became increasingly concentrated in leading and highly efficient protocols, with Meteora’s rapid ascent reshaping trading dynamics. Marginal growth in stablecoin supply stemmed from protocol-based assets, and DeFi credit demand shifted primarily back to stablecoin arbitrage and

Gate Research: Large language models and AI agent technologies are pushing trading systems into a new stage of development. Quantitative trading, which previously relied heavily on programming skills and complex engineering systems, is gradually evolving into product forms with much lower barriers to entry. Gate has introduced products such as AI Quant Workspace and Gate for AI, which aim to integrate strategy generation, backtesting, and automated execution within a single platform through natural language interaction, no-code quant tools, and unified trading interfaces, allowing more users to participate in strategy trading. As AI technology continues to mature, trading platforms are also evolving from traditional matching tools into AI-driven trading infrastructure.

Over the past week, global markets have been primarily driven by energy shocks and geopolitical risks. WTI crude rose more than 4%, with higher oil prices reinforcing inflation expectations and further constraining the scope for rate cuts. The Dollar Index moved back above 100, while Treasury yields climbed in tandem. Risk assets broadly came under pressure, yet the crypto market showed notable resilience. Consecutive net inflows into BTC ETFs indicate continued institutional accumulation during the pullback. On-chain, stablecoin supply continued to expand, with liquidity increasingly concentrated in leading protocols. Lending and LST sectors also rebounded, reflecting a marginal recovery in risk appetite. In derivatives markets, funding rates remained largely negative while implied volatility declined, suggesting market sentiment is gradually recovering from extreme caution. Looking ahead, markets will focus on the upcoming Fed rate decision and policy signals from major central banks, which will directly sh

A crypto card is a payment card that enables users to spend cryptocurrency by converting it into fiat currency at the point of transaction. As digital assets become more integrated into financial systems, crypto cards serve as a practical bridge between blockchain-based value and traditional payment infrastructure. They simplify real-world usage of cryptocurrencies while maintaining compatibility with global payment networks. Understanding their structure and limitations helps explain their role in modern financial ecosystems.

Gate Card is a crypto-linked payment card that allows users to spend digital assets in real-world transactions, while traditional Visa debit cards are fiat-based payment tools connected to bank accounts. With the growth of digital assets and Web3 infrastructure, both payment models now coexist across different financial environments. Their differences in settlement logic, asset behavior, and reward structures highlight how payment systems are evolving beyond conventional banking.

GateClaw and OpenClaw represent two types of technical environments designed for deploying and running Web3 AI agents. GateClaw is designed as a visual AI agent workstation that connects AI models, tool interfaces, and Web3 networks, allowing agents to execute automated tasks within a unified system. OpenClaw typically appears as an open source AI agent framework, where developers build and run agents through code and extend functional modules according to specific needs.

As macro uncertainty rises and gold is repriced, both ETF channels and on-chain tokenized gold channels are expanding in parallel. The tokenized gold market has grown rapidly and formed a clear duopoly centered on XAUT and PAXG. Competition among trading platforms around gold indices and perpetuals is fundamentally a contest for index governance. Whether XAUT and PAXG are included, how weights switch during market closures, and how data sources and oracle feed structures are designed and constrained by risk controls together determine price quality in 24/7 trading and resilience under extreme market conditions. Gate is building a full stack gold trading market by connecting access points across spot, leveraged ETFs, TradFi CFDs, metals perpetuals, and an on-chain perp DEX. This brings holding, leverage, and hedging into a unified account framework, improving the executability of allocation and trading.

GateClaw is an AI agent workstation designed for the Web3 ecosystem. By integrating AI models, modular Skills, and crypto trading infrastructure, it allows intelligent agents to perform data analysis, automated trading, and on-chain monitoring within a unified environment. Unlike traditional AI tools that mainly focus on information processing, GateClaw emphasizes the execution capabilities of AI agents, enabling them to run automated processes in real market environments.

GateClaw AI Skills are a modular capability framework designed for Web3 AI agents. They package functions such as market data analysis, on-chain information queries, and trading execution into callable intelligent modules. Through AI Skills, complex Web3 operational logic can be transformed into standardized capability interfaces, allowing AI models not only to analyze information but also to directly execute market-related operations.

Global markets were notably driven by energy price shocks and geopolitical risks over the past week. Escalating tensions in the Middle East propelled oil prices upward, with WTI surging more than 25% for the week. As a result, the market entered a risk-off phase, prompting BTC, ETH, and US equities to pull back simultaneously. From a macro standpoint, although rising oil prices are unlikely to trigger a recession directly, they could elevate inflation and delay interest rate cuts in the coming months. On-chain activity saw DEX trading volumes remain high, with liquidity further concentrating in top protocols. The total stablecoin market cap climbed to around $330 billion, with USDC emerging as the main source of incremental capital. In the derivatives market, funding rates stayed predominantly negative and option volatility increased, reflecting continued vigilance toward tail risks. Overall, the market is navigating a stage of macro risk repricing and liquidity reallocation. Looking ahead to next week, atten

GateClaw is an AI Agent workstation within the Gate for AI ecosystem designed to connect AI models, Gate MCP interfaces, and AI Skills modules. This infrastructure enables AI Agents to perform tasks such as market analysis, automated trading, and on chain data monitoring within the Web3 environment.

Gate has officially launched Gate for AI, establishing the industry's first unified AI portal that brings together five core functions: CEX, DEX, wallet, real-time information, and on-chain data. Leveraging a dual-layer architecture with MCP and Skills, Gate grants AI Agents comprehensive access to its core exchange capabilities, empowering them to conduct research, make decisions, execute actions, and monitor processes—all within a single integrated framework.

Gate has launched a groundbreaking AI Quantitative Workbench, seamlessly integrating strategy development, historical backtesting, and live trading within a unified platform powered by natural language interaction. Traders simply articulate their trading concepts, and the system automatically generates quantitative strategies, performs backtesting, and enables one-click deployment to real markets. This innovative approach dramatically reduces the technical requirements for programming and data environments in quantitative trading, empowering more traders to rapidly transform market insights into actionable strategies and advancing the widespread adoption of AI and quantitative trading.

Gate, the world-leading digital asset trading platform, has launched a zero-code AI Quant Workspace that allows users to generate trading strategies through natural language and deploy them to live trading with one click.