CoinQuant expands its no-code trading platform into an AI-native trading intelligence stack CoinQuant has broadened its no-code trading platform into a unified trading intelligence architecture that serves both human traders and autonomous AI agents. Since launch, the company says its product— which converts plain-English strategy descriptions into full algorithmic trading systems (entries, exits, sizing, filters and risk rules)—has attracted more than 15,000 users. “I spoke one idea into CoinQuant, ran the test, and launched a bot on my lunch break,” said Alex K., a software engineer using the platform. CoinQuant’s interface handles tick-level backtesting automatically from a user’s spoken or written input, removing the need for coding skills. The new agent-native layer lets autonomous AI agents deploy, test and execute crypto trading strategies end-to-end without human intervention at each step. That move positions CoinQuant inside the fast-growing machine-to-machine crypto infrastructure market: research firm Keyrock found AI agents settled more than $73 million across 176 million blockchain transactions in the 12 months through April 2026. CoinQuant is targeting a broader market that analysts estimate could encompass more than a million autonomous trading agents operating across crypto markets. The startup’s approach — pairing no-code, natural-language strategy creation with agentic execution — aims to make it significantly faster to build, iterate and scale algorithmic strategies. This launch arrives amid a wave of agent-focused infrastructure across crypto. Coinbase introduced agentic wallets via its x402 protocol in February 2026, processing more than 50 million transactions, while Circle rolled out an Agent Stack in May 2026 that includes wallets, an agent marketplace and nanopayments for sub-cent AI commerce. MoonPay has also developed AI-native payment rails, including the MoonAgents Card that enables agents to spend stablecoins at point-of-sale. Where other providers are building wallets, payments and marketplaces, CoinQuant is concentrating on the trading-strategy layer — the intelligence engine that lets agents construct and execute strategies without pre-coded logic. The company’s expansion underscores a structural shift in how crypto trading strategies are built and deployed, blurring the line between human traders and autonomous trading agents.
CoinQuant Launches AI-Native Trading Platform for Autonomous Crypto Agents
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Summary
CoinQuant has launched an AI-native trading platform for autonomous crypto agents, expanding its no-code system into a full trading intelligence stack. The platform, built from ChainGPT, allows users to create strategies in plain English. Over 15,000 users have signed up since launch. AI + crypto news highlights the new agent-native layer, which enables AI to deploy and test strategies without human input. Keyrock reported AI agents handled over $73 million in blockchain transactions in the past year. CoinQuant’s system aims to speed up strategy development by combining natural language with autonomous execution.
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