CoinQuant is an AI-powered no-code trading platform that enables traders and autonomous AI agents to build, validate, optimize, and automate trading strategies using natural language.

How does CoinQuant support autonomous AI agents?

CoinQuant provides a structured intelligence layer with backtesting, risk analysis, parameter optimization, and validated data pipelines before strategies are deployed live.

What makes CoinQuant different from traditional trading platforms?

CoinQuant combines institutional-grade backtesting, AI-powered optimization, structured market data, and no-code strategy creation within a unified trading intelligence architecture.

Which exchanges and data providers does CoinQuant integrate with?

CoinQuant integrates with major exchanges and institutional data providers, including Kaiko and Financial Modeling Prep, to deliver reliable market intelligence.

What is CoinQuant’s upcoming automation feature?

CoinQuant is preparing to launch an automated strategy execution layer on HyperLiquid, allowing validated strategies to move directly from backtesting to live deployment.

CoinQuant introduces AI trading infrastructure for the agent economy

Sanket Sharma

May 25, 2026

CoinQuant introduces trading infrastructure

AI Trading Infrastructure for Autonomous Agent Economy

Dubai, UAE | May 2026 - The agent economy is changing financial markets. Open-source agent frameworks are speeding up autonomous financial activity. AI agents are now starting to execute trades, manage portfolios, and connect directly with exchanges. But the financial infrastructure needed for this change has not grown at the same speed.

CoinQuant is an AI-powered no-code trading platform with over 15,000 users since launch. Today, it announces its expansion into a unified trading intelligence architecture built for both human traders and autonomous AI agents.

“Autonomous trading is no longer just an idea. It is already happening. The next phase needs structured validation, strong 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

As AI agents connect more directly to exchanges and wallets, many still use raw APIs without proper backtesting, risk analysis, or checked data pipelines. CoinQuant adds a structured intelligence layer between trading ideas and live capital deployment.

No strategy goes live without validation, whether it is built by a human or created by AI. Backtesting, risk metrics, and parameter optimization are built into the workflow. This helps make sure capital is used only after a clear and careful review.

From no-code platform to trading intelligence architecture

CoinQuant’s growth shows how its main engine is becoming stronger. At the center of the platform is one smart system. It brings together backtesting tools, organized market data from providers like Kaiko and Financial Modeling Prep, AI-based improvement tools, and CoinQuant’s own Domain Expert system.

Human traders can use simple language to describe, test, improve, and launch trading strategies without writing code. AI agents can connect through API and MCP integrations. This helps them test strategies and use organized data at a large scale.

The interface is what users see on the screen. But the real product is the smart engine working behind it.

One engine, two growth vectors

This growth is a clear next step for CoinQuant’s business model. The platform now has more than 15,000 traders. This shows that many users find the product useful. It also helps CoinQuant collect helpful strategy data.

The agent interface adds more value. It helps test and check many trading strategies at scale. It can also support automated work.

Each strategy that is built, tested, and used adds to a shared intelligence layer. The data is anonymized, so personal details are not shown. This creates a useful dataset that connects trading goals with strategy logic, test results, and performance in different 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 is preparing to launch its automated strategy execution layer on HyperLiquid as its second major revenue stream.

The automation layer will help validated strategies move smoothly from backtest to live deployment inside the same intelligence framework.

Raising $3 million to scale

CoinQuant is currently raising a $3 million Seed round to support product development, infrastructure scaling, and global growth. The company is also building HYDRA, a hierarchical multi-agent architecture made for advanced research, risk modeling, and strategy optimization.

With more than 15,000 users showing demand for structured trading intelligence, CoinQuant aims to become the intelligence backbone of algorithmic trading in the agent-driven financial era

About CoinQuant

CoinQuant is an AI trading platform that helps traders and AI agents build, validate, optimize, and automate trading strategies using natural language. Based in Dubai, CoinQuant connects with major exchanges and institutional data providers to offer professional-grade trading infrastructure to users around the world.

Website https://coinquant.ai
X https://x.com/CoinQuantX
Discord https://discord.gg/ruE857hSqS

Media contact:
Nada Ali
Marketing@coinquant.ai

About the Author Sanket Sharma

English News Writer at coingabbar.com

Sanket Sharma is an experienced crypto writer with five years of expertise in blockchain technology and digital assets. He specializes in translating complex concepts into clear, accessible insights, catering to both novice and seasoned investors.With a keen focus on Bitcoin, altcoins, NFTs, and DeFi, Sanket provides in-depth analysis of market trends, price movements, and emerging developments. His work is rooted in thorough research and a deep understanding of the evolving crypto landscape.Passionate about blockchain’s transformative potential, he is committed to delivering well-researched, informative content that empowers readers to navigate the fast-paced world of cryptocurrency with confidence. Through his writing, Sanket continues to educate and engage audiences, helping them stay ahead in the digital asset space.

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