CoinQuant Introduces Trading Infrastructure for the Agent Economy

TheNewsCryptoОпубліковано о 2026-05-26Востаннє оновлено о 2026-05-26

Анотація

CoinQuant, an AI-powered no-code trading platform with over 15,000 users, is expanding its infrastructure to serve the emerging "agent economy." The company is introducing a unified trading intelligence architecture designed for both human traders and autonomous AI agents. This system acts as a trust layer, ensuring all trading strategies—whether human-created or AI-generated—undergo rigorous validation, backtesting, and risk analysis before live deployment. The core of the platform is an intelligence engine that combines institutional-grade backtesting, structured market data, AI optimization, and a proprietary Domain Expert system. Human traders interact via a natural language interface, while AI agents connect through APIs. Every validated strategy contributes to an anonymized aggregate intelligence layer. CoinQuant plans to launch an automated execution layer on HyperLiquid and is currently raising a $3 million Seed round to scale its product and infrastructure, including the development of HYDRA, a hierarchical multi-agent architecture. The company aims to become the foundational intelligence backbone for algorithmic trading in the agent-driven financial era.

The agent economy is reshaping financial markets. Open-source agent frameworks are accelerating autonomous financial activity, with AI agents increasingly executing trades, managing portfolios, and interacting directly with exchanges. Yet the financial infrastructure supporting this shift has not evolved at the same pace.

CoinQuant, the AI-powered no-code trading platform that has attracted over 15,000 users since launch, today announces its expansion into a unified trading intelligence architecture built for both human traders and 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

As AI agents increasingly connect directly to exchanges and wallets, many rely on raw APIs without structured backtesting, risk analysis, or validated data pipelines. CoinQuant introduces a structured intelligence layer between trading intent and live capital deployment.

No strategy goes live unvalidated, whether built by a human or generated autonomously. Backtesting, risk metrics, and parameter optimization are embedded directly into the workflow, ensuring capital is deployed only after systematic evaluation.

From no-code platform to trading intelligence architecture

CoinQuant’s expansion reflects the evolution of its core engine. At the center of the platform is a unified intelligence system combining institutional-grade backtesting, structured market data from providers including Kaiko and Financial Modeling Prep, AI-powered optimization, and CoinQuant’s proprietary Domain Expert system.

Human traders interact through a natural language interface that allows them to describe, test, optimize, and deploy strategies without writing code. AI agents connect programmatically through API and MCP integrations to validate strategies and access structured data at scale.

The interface is only the surface. The intelligence engine beneath it is the product.

One engine, two growth vectors

This expansion represents a natural extension of CoinQuant’s business model. The platform’s growing base of over 15,000 traders validates product-market fit and generates structured strategy intelligence. The agent interface multiplies that value through high-volume programmatic validation and automation workflows.

Every strategy built, tested, and deployed contributes to an anonymized aggregated intelligence layer, creating a proprietary dataset mapping trading intent to logic, validation metrics, and performance outcomes across 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 enable validated strategies to transition seamlessly from backtest to live deployment within 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 expansion. The company is also developing HYDRA, a hierarchical multi-agent architecture designed for advanced research, risk modeling, and strategy optimization.

With over 15,000 users validating 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 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.

Websitehttps://coinquant.ai
Xhttps://x.com/CoinQuantX
Discordhttps://discord.gg/StNxg33z
Instagramhttps://www.instagram.com/coinquant.ai/
TikTokhttps://www.tiktok.com/@coinquant.ai
LinkedInhttps://www.linkedin.com/company/coinquant

Media contact:

Nada Ali
[email protected]

Disclaimer: TheNewsCrypto does not endorse any content on this page. The content depicted in this Press Release does not represent any investment advice. TheNewsCrypto recommends our readers to make decisions based on their own research. TheNewsCrypto is not accountable for any damage or loss related to content, products, or services stated in this Press Release.

Пов'язані питання

QWhat is the core challenge that CoinQuant's new trading infrastructure aims to address for the agent economy?

AIt addresses the lag in financial infrastructure evolution, which has not kept pace with the rapid growth of autonomous AI agents in trading. It aims to provide structured validation, disciplined risk management, and intelligence infrastructure that are currently missing when AI agents connect directly to exchanges.

QWhat are the two primary user groups or growth vectors for CoinQuant's unified trading intelligence architecture?

AThe two primary user groups are human traders and autonomous AI agents. Human traders use the natural language interface, while AI agents connect programmatically via API and MCP integrations. Both groups utilize the same underlying intelligence engine.

QAccording to the article, what is the specific function of the intelligence layer CoinQuant introduces for autonomous AI agents?

AThe intelligence layer acts as a structured 'trust layer' between trading intent and live capital deployment. It enforces mandatory backtesting, risk analysis, and parameter optimization for all strategies—human or AI-generated—before they can go live, ensuring systematic evaluation.

QWhat are the two main components CoinQuant is developing or launching with the $3 million Seed funding, as mentioned in the article?

AThe two main components are: 1) The automated strategy execution layer launching next on HyperLiquid as a new revenue stream. 2) HYDRA, a hierarchical multi-agent architecture designed for advanced research, risk modeling, and strategy optimization.

QHow does CoinQuant's platform benefit from the strategies created by its user base?

AEvery strategy built, tested, and deployed contributes to an anonymized, aggregated intelligence layer. This creates a proprietary dataset that maps trading intent to logic, validation metrics, and performance outcomes across market conditions, enhancing the platform's core intelligence foundation.

Пов'язані матеріали

30-Year Treasury Yield Breaks 5% Again: The Era of 'Everything Is Cheap' Is Over

The yield on the 30-year U.S. Treasury bond has again surpassed 5%, signaling a fundamental shift as markets begin to accept that high interest rates are here to stay. This reflects the simultaneous breakdown of three pillars that underpinned half a century of low inflation and low rates: cheap capital, cheap labor, and cheap energy. Global capital flows are shifting, energy security is strained, and labor costs are rising due to shortages and unionization, though partly offset by AI's impact. Long-term pressures like soaring government debt, geopolitical friction, and populism are also pushing up long-term borrowing costs. The role of AI remains the biggest uncertainty—it could boost productivity and lower debt or become a new source of inflation if it merely automates jobs while consuming vast resources. The core challenge for investors is adapting their models and expectations, calibrated during decades of cheap money, to this new, more persistent high-rate environment.

marsbit9 хв тому

30-Year Treasury Yield Breaks 5% Again: The Era of 'Everything Is Cheap' Is Over

marsbit9 хв тому

Another Corporate Bitcoin Treasury Strategy Ends: From High-Profile Entry to Liquidation at a Massive Loss in 11 Months

French semiconductor company Sequans Communications has sold off its bitcoin holdings and terminated its corporate bitcoin treasury strategy less than a year after launching it, sustaining heavy losses. Facing delisting from the New York Stock Exchange in mid-2025 due to low market capitalization, Sequans announced a plan to hold over 3,000 bitcoin as a long-term reserve asset. The strategy was executed with Swan Bitcoin and backed by a $384 million private financing round. At its peak in October 2025, the company held 3,234 bitcoin with an average cost of approximately $116,643 per coin. However, the plan quickly unraveled. With bitcoin's price falling, Sequans sold 970 bitcoin in late 2025 to repay debt, contradicting the core "hold" philosophy of such corporate strategies. The company has now sold more bitcoin to fully repay its convertible notes and announced the termination of its bitcoin reserve strategy. It plans to liquidate its remaining 658 bitcoin. The venture resulted in significant financial damage. The company reported an unrealized loss of $67.4 million on its bitcoin holdings in 2025, contributing to a total net loss of $109.3 million for the year. Sequans' stock (SQNS) has plummeted over 80% since the strategy's launch and is down 77% year-to-date. CEO Georges Karam, who previously championed bitcoin's long-term value, now states the company will refocus entirely on its core IoT semiconductor business. The failed experiment highlights the risks for companies adopting volatile digital assets as treasury reserves.

marsbit35 хв тому

BIS Latest Research: The Future of Stablecoins and the Global Monetary Landscape

BIS Working Paper No. 170, released in May 2026, analyzes the impact of stablecoins on the global monetary system. The market has grown exponentially since 2014, with over 300 active stablecoins exceeding $300 billion in market capitalization. It is highly concentrated, dominated by USD-linked stablecoins (98% by market cap, mainly USDT and USDC), which function as new forms of private offshore dollar claims on blockchain. Currently, stablecoin use remains largely within crypto ecosystems for trading and DeFi collateral. Real-economy adoption, such as in cross-border payments, is nascent but growing in emerging markets and developing economies (EMDEs) facing high inflation and volatile currencies, where they facilitate capital flight and "digital dollarization." The paper assesses impacts using the Cohen-Kennen framework. For private-sector functions, stablecoins most directly affect value storage (as a dollar-denominated safe haven in EMDEs) and the medium of exchange (enhancing cross-border payment efficiency, further entrenching dollar use). Impacts on the unit of account and official-sector functions are currently limited but could indirectly constrain monetary policy autonomy and capital controls. The report outlines three potential future scenarios: 1) **Niche adoption**, where stablecoins remain crypto-centric with minimal systemic impact; 2) **Digital dollarization**, a high-risk scenario where USD stablecoins become de facto standards in EMDEs, eroding monetary sovereignty; and 3) **Local currency stablecoin integration**, an ideal but challenging scenario where regulated domestic stablecoins linked to CBDCs enhance efficiency without foreign currency substitution. Key policy recommendations emphasize global coordination: establishing uniform regulatory standards (e.g., for reserves and disclosure), strengthening cross-border supervisory cooperation, enhancing domestic defenses in EMDEs (via macroeconomic stability, improved payment systems, and CBDCs), and combating illicit activities. The paper concludes that stablecoins are a structural force reinforcing dollar dominance in the near term, posing significant risks to EMDEs' financial stability and policy autonomy. Their long-term trajectory depends on regulatory responses, adoption patterns, and the co-evolution with public digital currencies.

marsbit43 хв тому

BIS Latest Research: The Future of Stablecoins and the Global Monetary Landscape

marsbit43 хв тому

BIS Latest Research: Stablecoins and the Future of the Global Monetary Landscape

The Bank for International Settlements (BIS) Working Paper No. 170 analyzes the rise of stablecoins and their impact on the global monetary system. Stablecoins, privately issued digital tokens pegged to fiat currencies, have grown exponentially since 2014, with a market dominated by USD-pegged variants like USDT and USDC. Their core function remains within the crypto ecosystem, though use in cross-border payments and as a store of value in high-inflation emerging markets is increasing. The report identifies stablecoins as a new form of offshore dollar claims, extending dollar liquidity via blockchain. Their stability depends entirely on reserve quality and market arbitrage, lacking traditional banking safeguards. In the short term, stablecoins reinforce the US dollar's dominance, posing risks to monetary sovereignty in emerging market and developing economies (EMDEs) by facilitating "digital dollarization," which can undermine local currency deposits, capital controls, and monetary policy effectiveness. The BIS outlines three potential future scenarios: 1) Niche adoption within crypto (baseline), 2) Widespread "digital dollarization" in EMDEs (high-risk), and 3) Integration of domestic currency stablecoins (ideal but challenging). Effective global regulatory coordination is crucial to manage risks like reserve transparency, cross-border spillovers, and illicit activities. The report concludes that stablecoins represent a structural force reshaping international monetary hierarchies, presenting both opportunities for payment efficiency and significant risks to financial stability and autonomy, necessitating robust policy responses.

链捕手49 хв тому

BIS Latest Research: Stablecoins and the Future of the Global Monetary Landscape

链捕手49 хв тому

Solo Company Craze: Some Earn Millions Annually, Others See Incomes Shrink by 90%

The Rise of the "One-Person Company" (OPC): AI Fuels a Solo Entrepreneurship Wave The concept of the "One-Person Company" (OPC)—where an individual leverages AI tools to start and run a business—is gaining significant traction, hailed by some as ushering in a "golden age" for solo entrepreneurship. While success stories abound, the reality is a mixed picture of high earnings and significant struggles. The article profiles several OPC founders across different industries: * A game developer created 6 bullet-chat (danmaku) games in a year using an AI-powered workflow, earning approximately 1 million RMB. AI handled around 70% of art and 99% of coding tasks, slashing development cycles from months to about 15 days per game. * A materials researcher in Japan, using AI for tasks from translation to legal advice, earns roughly triple the salary of a local white-collar worker. * A biotech entrepreneur uses AI Agents to automate 80% of repetitive work like data analysis, doubling their previous income while gaining time freedom. * Conversely, a former tech executive turned cross-border e-commerce founder in Latin America reports a 90% drop in income compared to their previous corporate job, cautioning against blindly following the trend. Key insights from these cases include: AI dramatically lowers barriers to entry and operational costs, but does not guarantee success. It excels at automating repetitive tasks but cannot replace core human skills like creativity, project management, judgment, and client acquisition. Industry experience and existing client/resources remain critical advantages. The model suits self-starters with specific expertise but poses challenges in areas like sales, compliance, and scaling. Ultimately, while AI empowers solo ventures, entrepreneurship's inherent risks and demands persist.

marsbit55 хв тому

Solo Company Craze: Some Earn Millions Annually, Others See Incomes Shrink by 90%

marsbit55 хв тому

Торгівля

Спот

Ф'ючерси