CoinQuant Launches Unified Trading for Humans, AI
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- CoinQuant unveiled a unified trading intelligence architecture that integrates institutional‑grade backtesting, structured market data, AI‑powered optimization, and its proprietary Domain Expert system for both human and AI agents.
- Maan Ftouni said autonomous trading now requires structured validation, disciplined risk management, and intelligence infrastructure, which CoinQuant provides.
- Kaiko and Financial Modeling Prep supply structured market data to the platform.
- HyperLiquid will host an automated strategy execution layer that lets validated strategies move from backtest to live deployment within the same framework.
- CoinQuant is raising a $3 million seed round to scale product development, infrastructure, and global expansion while developing HYDRA, a hierarchical multi‑agent architecture for advanced research and risk modeling.
- CoinQuant’s user base of over 15,000 traders fuels an anonymized aggregated intelligence layer that maps intent to performance across market conditions.
Why it matters: Human traders and AI agents gain a single infrastructure that validates and optimizes strategies before capital deployment, reducing risk and accelerating automation, while CoinQuant secures funding to expand its platform and launch automated execution on HyperLiquid, potentially reshaping how algorithmic trading is built and deployed.
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