CoinQuant has upgraded its no-code trading platform into a unified “trading intelligence” architecture that serves both human traders and fully autonomous AI agents — a move that could accelerate machine-to-machine activity across crypto markets. Since launch, CoinQuant says its platform has attracted more than 15,000 users with a simple promise: translate plain-English strategy descriptions into complete algorithmic trading systems. That includes entries and exits, position sizing, filters and risk rules — all generated from verbal or written input and backtested at tick-level without any coding. “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 key expansion is agent-native infrastructure: autonomous AI agents can now deploy, test and execute crypto trading strategies end-to-end without human oversight at each step. That places CoinQuant squarely in the fast-growing machine-to-machine crypto infrastructure market. Research firm Keyrock estimates AI agents settled more than $73 million across 176 million blockchain transactions in the 12 months through April 2026, and the broader opportunity spans over a million potential autonomous trading agents active across crypto markets. This launch comes amid a broader industry push to make agents first-class economic participants in crypto. Examples include Coinbase’s roll-out of agentic wallets via its x402 protocol in February 2026 (processing more than 50 million transactions), Circle’s May 2026 Agent Stack (wallets, an agent marketplace and nanopayments for sub-cent AI commerce), and MoonPay’s MoonAgents efforts to let agents spend stablecoins at point-of-sale. Where those projects focus on payments, wallets and rails, CoinQuant targets the strategy layer — the intelligence engine that lets agents build and execute trading approaches without being pre-programmed. By combining no-code strategy creation with agentic execution, CoinQuant is positioning itself to make it far easier to scale autonomous trading strategies across the growing ecosystem of AI-native crypto infrastructure.
CoinQuant Upgrades to 'Trading Intelligence' for AI Agents and Human Traders
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Summary
CoinQuant has upgraded its no-code platform to a 'trading intelligence' system that supports both human traders and AI agents. The platform now enables AI to deploy and execute crypto strategies without human input. With over 15,000 users, CoinQuant translates English strategy descriptions into live trading systems. Rising trading activity and volume in the market are pushing more projects to support AI as active participants. Coinbase, Circle, and MoonPay are also building similar infrastructure.
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