CoinQuant unveils AI agent-ready infrastructure for algorithmic trading
Since its launch, CoinQuant's AI-driven no-code trading platform has amassed more than 15,000 users. The company now reveals its evolution into a comprehensive trading intelligence framework designed to serve human traders alongside autonomous AI agents.
Dubai, UAE | May 2026 - Financial markets are undergoing transformation through the agent economy. Autonomous financial activity is gaining momentum as open-source agent frameworks proliferate, enabling AI agents to execute trades with increasing frequency, handle portfolio management duties, and engage directly with trading exchanges. However, the financial infrastructure needed to support this transformation has lagged behind.
Since its launch, CoinQuant's AI-driven no-code trading platform has amassed more than 15,000 users. The company now reveals its evolution into a comprehensive trading intelligence framework designed to serve human traders alongside autonomous AI agents.
"Autonomous trading is no longer theoretical. It is already happening. The next phase requires structured validation, disciplined risk management, and intelligence infrastructure. That is what CoinQuant delivers," said Maan Ftouni, Founder and CEO of CoinQuant.
The trust layer for autonomous AI agents
Direct connections between AI agents and exchanges and wallets are becoming more common, yet many of these systems operate using raw APIs that lack structured backtesting capabilities, comprehensive risk analysis, or validated data pipelines. CoinQuant provides a structured intelligence layer that sits between trading intent and the actual deployment of live capital.
Whether a strategy originates from human creativity or autonomous generation, it cannot proceed to live trading without validation. The workflow incorporates backtesting, risk metrics, and parameter optimization as fundamental components, guaranteeing that capital deployment occurs only following systematic evaluation procedures.
From no-code platform to trading intelligence architecture
The expansion CoinQuant is undertaking demonstrates how its core engine has evolved. A unified intelligence system forms the platform's foundation, bringing together institutional-grade backtesting capabilities, structured market data sourced from providers such as Kaiko and Financial Modeling Prep, AI-powered optimization tools, and CoinQuant's proprietary Domain Expert system.
Human traders engage with the platform via a natural language interface that empowers them to describe, test, optimize, and deploy trading strategies without needing to write any code. AI agents establish programmatic connections through API and MCP integrations, enabling them to validate strategies and access structured data at substantial scale.
The interface represents merely the visible layer. The intelligence engine operating beneath it constitutes the actual product.
One engine, two growth vectors
This strategic expansion embodies a natural progression of CoinQuant's business model. The platform's expanding base of more than 15,000 traders provides validation of product-market fit while generating structured strategy intelligence. The agent interface amplifies that value through high-volume programmatic validation and sophisticated automation workflows.
Each strategy that gets built, tested, and deployed adds to an anonymized aggregated intelligence layer, building a proprietary dataset that maps trading intent to logic, validation metrics, and performance outcomes across diverse market conditions.
"The same engine that powers a trader's first backtest can validate hundreds of strategies for autonomous systems in parallel. We are building one intelligence foundation for both humans and AI agents," Ftouni added.
Automation layer launching next
CoinQuant has plans underway to launch its automated strategy execution layer on HyperLiquid, establishing it as the company's second major revenue stream.
The automation layer will facilitate seamless transitions for validated strategies from backtest to live deployment, all within the same intelligence framework.
Raising $3 million to scale
To support product development, infrastructure scaling, and global expansion, CoinQuant is currently in the process of raising a $3 million Seed round. The company is simultaneously developing HYDRA, a hierarchical multi-agent architecture engineered for advanced research, risk modeling, and strategy optimization.
Having attracted over 15,000 users who validate the demand for structured trading intelligence, CoinQuant is positioning itself to become the intelligence backbone of algorithmic trading in the agent-driven financial era.
About CoinQuant
CoinQuant is an AI trading platform that enables traders and AI agents to build, validate, optimize, and automate trading strategies using natural language. Headquartered in Dubai, CoinQuant integrates with major exchanges and institutional data providers to deliver professional-grade trading infrastructure to a global community.