Dubai, UAE | May 2026 – The agentic economy is fundamentally transforming financial markets. Open-source agent frameworks are accelerating autonomous financial activity, with AI agents becoming increasingly active in executing trades, managing portfolios, and interacting directly with exchanges. However, the financial infrastructure supporting these changes has not kept pace. This is reported by Cointelegraph.com reports .
CoinQuant, a platform that has attracted over 15,000 users since its launch, has announced its expansion into a unified trading intelligence architecture designed for both humans and autonomous AI agents. While many AI agents connect directly to exchanges and wallets, most rely on raw APIs lacking systematic backtesting, risk analysis, or validated data pipelines. CoinQuant introduces a layer of systematic intelligence between trading intent and live capital deployment.
At the core of the platform lies a unified intelligence system that integrates institutional-grade backtesting, market data from providers like Kaiko and Financial Modeling Prep, and CoinQuant’s proprietary Domain Expert system. While humans can describe and optimize strategies without writing code via a natural language interface, AI agents connect via APIs and MCP integrations to validate strategies and access systematic data at scale.
CoinQuant is currently raising a $3 million seed round to support product development and global expansion. The company is also developing HYDRA, a hierarchical multi-agent architecture designed for advanced research and risk modeling. An automated strategy execution layer on the HyperLiquid platform is expected to launch soon as a second major revenue stream.
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