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#autonomous-trading News & Analysis

5 articles tagged with #autonomous-trading. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

5 articles
AI ร— CryptoBullishBeInCrypto ยท Mar 47/107
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OKX Rolls Out Native AI Toolkit on OnchainOS to Power Autonomous Agents

OKX has launched a native AI toolkit on its OnchainOS platform, enabling AI agents to operate autonomously on blockchain networks. The toolkit bridges traditional decentralized tools with machine-native automation for trading, wallet management, payments, and market data access.

OKX Rolls Out Native AI Toolkit on OnchainOS to Power Autonomous Agents
AI ร— CryptoBullishNewsBTC ยท Mar 37/102
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BNB Chain Rolls Out Production-Ready AI Agent Tools With Live On-Chain Capabilities

BNB Chain has launched production-ready tools enabling AI agents to operate autonomously on blockchain infrastructure with live on-chain capabilities. These tools allow AI agents to execute real transactions, manage wallets, and establish permanent on-chain identities using the ERC-8004 standard.

BNB Chain Rolls Out Production-Ready AI Agent Tools With Live On-Chain Capabilities
$BTC$ETH$BNB
AI ร— CryptoBullishCoinDesk ยท Mar 37/104
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OKX jumps into AI agent race with new OnchainOS toolkit

OKX has launched OnchainOS, a new developer toolkit designed to enable the creation of AI agents that can autonomously interact with blockchain infrastructure. The platform integrates wallets, decentralized exchanges, and data feeds to support automated trading bots and other AI-driven applications.

OKX jumps into AI agent race with new OnchainOS toolkit
AIBullishOpenAI News ยท Sep 297/107
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Buy it in ChatGPT: Instant Checkout and the Agentic Commerce Protocol

OpenAI is introducing agentic commerce capabilities to ChatGPT, enabling AI agents, users, and businesses to collaborate in shopping experiences. This represents an early step toward AI-powered autonomous commerce systems integrated into conversational AI platforms.

AIBullisharXiv โ€“ CS AI ยท Feb 276/107
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Toward Expert Investment Teams:A Multi-Agent LLM System with Fine-Grained Trading Tasks

Researchers developed a multi-agent LLM trading framework that decomposes investment analysis into fine-grained tasks rather than coarse-grained instructions. Testing on Japanese stock data showed the approach significantly improved risk-adjusted returns and achieved superior performance through portfolio optimization.