CoinQuant has unveiled an upgraded no-code trading platform, now branded as a 'trading intelligence' architecture, designed to cater to both human traders and autonomous AI agents. This development aims to enhance machine-to-machine activity within crypto markets. The platform, which has attracted over 15,000 users, allows users to convert plain-English strategy descriptions into comprehensive algorithmic trading systems, including entries, exits, and risk management, all without coding. The significant enhancement is the introduction of agent-native infrastructure, enabling AI agents to autonomously deploy, test, and execute trading strategies without human intervention. This positions CoinQuant in the expanding machine-to-machine crypto infrastructure market, where AI agents have settled over $73 million in blockchain transactions in the past year. CoinQuant's focus on strategy creation and execution differentiates it from other industry initiatives like Coinbase's agentic wallets and Circle's Agent Stack, which concentrate on payments and wallet functionalities.