Dasar
Spot
Perdagangkan kripto dengan bebas
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Perbesar keuntungan Anda dengan leverage
Konversi & Investasi Otomatis
0 Fees
Perdagangkan dalam ukuran berapa pun tanpa biaya dan tanpa slippage
ETF
Dapatkan eksposur ke posisi leverage dengan mudah
Perdagangan Pre-Market
Perdagangkan token baru sebelum listing
Futures
Akses ribuan kontrak perpetual
TradFi
Emas
Satu platform aset tradisional global
Opsi
Hot
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Akun Terpadu
Memaksimalkan efisiensi modal Anda
Perdagangan Demo
Pengantar tentang Perdagangan Futures
Bersiap untuk perdagangan futures Anda
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Gabung acara & dapatkan hadiah
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CandyDrop
Koleksi permen untuk mendapatkan airdrop
Launchpool
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Pegang GT dan dapatkan airdrop besar secara gratis
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Jadi yang pertama untuk proyek token besar berikutnya
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#Gate广场AI测评官
Gate AI Cryptocurrency Trading Complete Analysis, Beginners Can Get Started Quickly
Recently, Gate's AI products have been causing a sensation in the crypto community, with three major "game-changers" revolutionizing the way retail traders trade cryptocurrencies. Many community members may still be confused and can't quite tell the difference between Gate AI, Gate Claw, and Gate for AI. Today, let's break it down:
1. GateAI: An Intelligent Service Portal Spanning the Entire Trading Journey
If we categorize Gate's AI product matrix by user groups, then Gate AI is the intelligent interaction core targeting regular users. Even beginners can use it, completing a brilliant transformation from "trading assistant" to "end-to-end intelligent service layer."
How to Access:
Currently, users can easily activate GateAI through fixed entry points at the bottom of any Web page, or through floating balls on the App homepage and market pages, beginning their natural language interaction journey.
Use Cases:
1. GateAI has achieved comprehensive penetration of the platform's core services. Users can not only interpret spot market trends, access financial management and new issues participation guides, and get flash swap operation instructions, but can also use AI to complete user center management, marketing activity inquiries, unified account management, and quantitative product subscriptions and complex tasks.
2. For different user groups, GateAI demonstrates strong personalized service capabilities: providing beginners with guidance through key steps like KYC, first deposit, and first trade; for experienced users, it provides accurate recommendations for financial products based on their asset structure and risk preferences.
2. Gate Claw (Blue Lobster): An Innovative Practice in Open AI Agent Platform
The Blue Lobster is an open AI Agent platform built by Gate based on the OpenClaw framework. Similar to OpenClaw, it targets users with deep needs and some programming foundation. It stands out among many AI Agents with its free, open, and one-click enabled lightweight approach. It's suitable for users who have time to cultivate AI assistants and need AI to autonomously handle trading-related businesses. The platform also supports continuous expansion of capability boundaries through skill stores, expert assistants, and third-party skill extensions. Users can even create and optimize automated trading strategies within the platform, transforming their trading wisdom into executable intelligent solutions.
How to Access:
You can easily summon the Blue Lobster on the www.gate.com/gateclaw page
Use Cases:
Market data and news collection, data processing and analysis, quantitative trading, automated trading, intelligent grid trading, etc.
3. Gate for AI: The Infrastructure Foundation of AI Agent
If GateAI and GateClaw are intelligent service terminals targeting users, then Gate for AI is the infrastructure foundation supporting the entire AI ecosystem, primarily designed for users with programming backgrounds. It serves as a unified entry point for external AI applications to access Gate platform services. As the industry's first unified AI entry point that simultaneously integrates five major capabilities—CEX, DEX, wallet, real-time information, and on-chain data—under the same interface system, Gate for AI upgrades the entire exchange into an infrastructure layer directly callable by AI.
Gate for AI adopts a "MCP + Skills" dual-layer capability structure. MCP provides standardized tool interfaces, ensuring AI can comprehensively access various platform capabilities; Skills provide pre-orchestrated advanced modules, supporting deep strategy applications.
Use Cases:
Empower AI, including querying market data, completing market analysis, risk assessment, strategy generation, and trade execution. In short, if you want your AI Agent to automate "operations" on the Gate platform, you need to call the Gate for AI service.
Features:
1. Through continuous upgrades, Gate for AI's capability boundaries are constantly expanding. The comprehensive upgrade of DEX MCP provides AI Agents with native full-scenario market insights and cross-chain trading capabilities, deeply aggregating liquidity from 20+ mainstream blockchains, and achieving optimal price execution through intelligent routing;
2. The upgrade of the Wallet MCP module enables AI to create non-custodial wallets, query account assets, send tokens, and obtain real-time Gas information, achieving integrated on-chain asset operations and information retrieval.
3. The launch of the Gate CLI tool further reduces the development complexity of AI Agents and automated trading systems, enabling AI decisions to connect more directly to real trading environments.
4. One Last Uncommon Knowledge Piece: AI Quantitative Workbench
In Gate's AI matrix, the AI Quantitative Workbench is a heavyweight tool for professional traders. This platform drives strategy generation through natural language, integrating strategy ideation, historical backtesting, and real trading execution in one place, completely breaking through the technical barriers of quantitative trading.
For a long time, quantitative trading has faced two major challenges: coding strategy code and setting up complex backtesting environments, deterring many experienced traders. The AI Quantitative Workbench transforms strategy creation from "code-driven" to "intent-driven" through natural language interaction. Users only need to describe trading logic in everyday language, and the system automatically generates complete, executable strategy code. After strategy generation, the platform automatically invokes a production-grade backtesting engine to simulate run the strategy against real historical market data. Users can compare multiple backtesting schemes through a visual interface, customize historical time periods, and evaluate strategy performance from multiple dimensions. Strategies that pass verification can be deployed with one click to the real trading environment, achieving a complete closed-loop of "strategy conception—data verification—trade execution."
Have you all started using Gate AI products? What other aspects would you like to know about? Leave comments for Little Caishen!