CoinQuant trading launches unified AI agent architecture
CoinQuant trading platform has expanded its architecture to serve both human traders and autonomous AI agents.
- CoinQuant, with over 15,000 users since launch, is expanding its no-code AI trading platform into a unified intelligence architecture designed for autonomous AI agents.
- The platform converts plain-English strategy descriptions into complete trading systems covering entries, exits, position sizing, and risk rules, with tick-level backtesting.
- The expansion targets the emerging agent economy, where AI agents settled $73 million across 176 million blockchain transactions in the twelve months through April 2026.
CoinQuant announced the expansion of its no-code trading platform into a unified trading intelligence architecture serving both human traders and autonomous AI agents. The company has attracted more than 15,000 users since launch with a product that converts plain-English strategy descriptions into full algorithmic trading systems, including entries, exits, sizing, filters, and risk rules.
“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. The platform handles tick-level backtesting automatically from a user’s verbal or written input, without requiring coding skills.
What CoinQuant’s AI agent architecture enables
The expansion into agent-native infrastructure allows autonomous AI agents to deploy, test, and execute crypto trading strategies without human intervention at each step.
This positions CoinQuant within the fast-growing market for machine-to-machine crypto infrastructure, where AI agents settled more than $73 million across 176 million blockchain transactions in the twelve months through April 2026 according to research firm Keyrock.
The broader market CoinQuant is targeting spans more than a million potential autonomous trading agents active across crypto markets.
Crypto.news has covered the acceleration of AI-native crypto infrastructure, including MoonPay’s MoonAgents Card enabling AI agents to spend stablecoins at point-of-sale. The convergence of no-code strategy creation with agentic execution marks a structural shift in how trading strategies can be built and deployed at scale.
Why the agent economy is accelerating now
The infrastructure for AI agents to act as independent economic participants is arriving across crypto in waves. Coinbase launched agentic wallets via its x402 protocol in February 2026, processing more than 50 million transactions.
Circle launched its Agent Stack in May 2026, adding wallets, an agent marketplace, and nanopayments for sub-cent AI commerce. Crypto.news has noted MoonPay’s AI-native debit card infrastructure giving agents a live stablecoin payment rail.
CoinQuant’s approach focuses on the trading strategy layer of this stack, providing the intelligence engine that allows agents to construct and execute crypto strategies without pre-coded logic.
