Quick Reads

With the Gate No-Code AI Quantitative Trading Workbench, traders can create, backtest, and deploy quantitative trading strategies effortlessly—no programming experience required. Natural language strategy generation simplifies the trading process, boosts execution efficiency, and enables every trader to fulfill their quantitative trading needs with ease.

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.

Jupiter is a decentralized exchange aggregation protocol built on the Solana network. Its primary objective is to consolidate liquidity from multiple decentralized trading platforms and provide users with more efficient asset swap routes. Through smart routing algorithms, Jupiter can identify the most favorable pricing across different liquidity pools and protocols. By dynamically selecting optimal execution paths, the protocol improves trading efficiency while reducing slippage.

Jupiter, Raydium, and Orca are core liquidity infrastructures within the Solana ecosystem. Jupiter focuses on trade aggregation and intelligent routing, Raydium provides liquidity through a hybrid model that combines automated market making with order book integration, while Orca emphasizes concentrated liquidity through its Whirlpools model and a simplified trading experience for users.

JUP is the native token of the Jupiter protocol, designed to support governance, community incentives, and ecosystem development. As a core component of the Solana DeFi trading infrastructure, JUP connects community participation with protocol governance mechanisms, allowing token holders to take part in shaping the evolution and direction of the Jupiter ecosystem.

Sky Protocol is a decentralized finance (DeFi) base protocol built with a modular architecture. By separating stablecoins, governance, yield strategies, and application layer features into distinct, composable modules, it allows each component to function independently while collaborating seamlessly. This design significantly increases the flexibility and innovation potential of the entire financial system.

Sky (SKY) is a decentralized finance (DeFi) protocol built on a modular financial architecture, aiming to create a scalable, governable, and highly composable on-chain financial system through a multi-layered ecosystem and a dual-token mechanism. In contrast to the conventional single-protocol approach of typical DeFi projects, Sky utilizes its Stars sub-ecosystem and modular design, enabling diverse financial applications to run on a unified infrastructure and share liquidity, governance, and technical frameworks.

SKY is the primary governance token of the Sky Protocol ecosystem, playing an essential role in protocol governance, ecosystem incentives, and value capture. Through token-based voting and on-chain governance mechanisms, SKY holders are empowered to participate in protocol parameter adjustments, vote on upgrade proposals, and shape the ecosystem’s development direction—ensuring that the protocol’s evolution is progressively driven by the community.

OpenClaw is an open-source AI agent framework that surged in popularity in 2026. It operates locally and integrates with large-scale models to automate tasks. This article offers an in-depth examination of OpenClaw’s underlying mechanisms, technical architecture, use cases, ecosystem, and potential risks.

OpenClaw has sparked a surge in AI Agent adoption, progressing from the "raise lobsters" community to enterprise automation solutions. AI is advancing beyond conversational tools to become an execution system. However, this transformation brings new security risks and changes in economic structures, leading people to reconsider the future of work and technology.

As an increasing number of projects opt to issue tokens directly on public blockchains, the methods for price discovery and liquidity construction are evolving. The market is shifting away from dependence on single-platform reviews and listings, moving toward value that emerges organically through on-chain capital flows. This article explores the structural changes taking place in on-chain markets and analyzes how integrated gateways can simplify what were previously cumbersome processes, paving the way for greater efficiency and broader participation in decentralized trading.

As market volatility becomes the standard, relying only on price judgments is no longer sufficient for achieving sustained long-term outcomes. More investors are prioritizing asset allocation and risk diversification. This article explores the importance of integrating multiple markets and examines how a unified account structure can improve capital deployment efficiency and strategic flexibility.

As the crypto market diversifies, traders are looking for more ways to participate in price movements. Stock tokens aren’t meant to replace traditional equities—they convert global stock market trends into on-chain, price-based assets. With the Gate Stock Tokens section, users can track and trade international stock price fluctuations directly within the crypto ecosystem they know.

This article uses Gate Exchange as a case study to break down the three core costs of contract trading—trading fees, funding rates, and slippage—helping newcomers understand the true cost structure and avoid hidden charges that can eat into profits.