CoinQuant trading launches 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 users verbal or written input, without requiring coding skills. What CoinQuants AI agent architecture enables The expansion into agent-native infrastructure allows autonomous AI agents to deploy, test, and execute crypto trading strategies without