⚡️INSIGHT: AI agents are already trading crypto, but many still operate without proper backtesting or risk validation before deploying real capital. That’s where @CoinQuantX comes in. CoinQuant is building a trading intelligence layer for both human traders and autonomous AI agents, helping validate strategies before they ever go live. The platform combines institutional-grade backtesting, AI-powered optimization, and structured market data from providers like Kaiko and Financial Modeling Prep, alongside a proprietary “Domain Expert” system built to improve strategy development over time. Human traders can build strategies using natural language, while AI agents connect through API and MCP integrations to test and validate strategies programmatically at scale. CoinQuant says more than 15,000 users have joined the platform since launch, contributing to an anonymized intelligence layer that maps trading logic, validation metrics, and performance across different market conditions. The company is also preparing to launch automated strategy execution on HyperLiquid, allowing strategies to move from backtest to live deployment inside the same framework. At the same time, CoinQuant is developing HYDRA, a multi-agent system focused on research, risk modeling, and strategy optimization. As autonomous agents grow in crypto, strategy validation infrastructure becomes just as valuable as the agents themselves. Find out more: coinquant.ai