Overview
CoinQuant is a Lebanese-founded fintech company incorporated in 2024 and headquartered in Abu Dhabi’s Al Khatem Tower under the ADGM regulatory framework, with an additional presence in the DMCC in Dubai. The company built and operates Hydra, an AI-powered no-code platform that gives traders and institutions the tools to build, backtest, and automate trading strategies across any asset class without writing a single line of code.
The company was founded by Maen Ftouni, who serves as CEO and Product Manager.
Background
Maen Ftouni spent over a decade at several big tech companies such as Oracle, Thales, Microsoft and Cisco, progressing from engineer to country manager to regional manager. In 2015 he started paying serious attention to financial markets, initially as a hobbyist. He moved through manual trading, technical analysis, fundamental analysis, and eventually into algorithmic trading, running strategies across German bonds, equities, options, and crypto as a side income while still in his corporate role.
By 2018 he was generating consistent returns from algorithmic trades. The next logical step was to open a fund and fully automate it. He went looking for the tools to do it properly and ran into a wall. The platforms available to institutional players were outdated, the infrastructure was fragmented, and nothing on the market was built to handle the kind of AI-driven, multi-asset quantitative approach he had in mind. He decided to stop looking for the fund infrastructure and start building it.
The first version of Hydra was completed in 2024. Ftouni did not like it. He scrapped the entire codebase and built it again from the ground up.
Mission and Approach
CoinQuant’s core argument is simple. The tools that institutional trading desks use to build and test strategies algorithmically have never been made accessible to individual traders and small funds. Not because the technology is too complex, but because nobody built the infrastructure for them.
Hydra closes that gap. A trader who has never written a line of code can describe a strategy in plain English, backtest it against tick-level historical data with real fees and slippage factored in, receive a Strategy Quality Score that tells them how robust it actually is, and deploy it live when it performs.
The platform is also built to be fully operable by AI agents via API, positioning CoinQuant as infrastructure for the next generation of autonomous market participants, not just a tool for human traders.
The global algorithmic trading market was valued at over $15 billion in 2023 and is growing at more than 10% annually. CoinQuant is entering it at the moment when AI has made institutional-grade infrastructure deliverable at retail pricing.
Product and Offering
Hydra is CoinQuant’s single product. It is an AI trading platform that lets users build, test, and eventually automate trading strategies across any asset class without writing a single line of code.
The process is straightforward. A user describes what they want their strategy to do in plain English. Hydra builds it. They backtest it against real historical data, see what it would have actually returned after fees and slippage, and get a score that tells them how solid the strategy is before any real money is involved.
A built-in research tool handles the analytical side, answering market questions, surfacing patterns, and producing structured outputs that help users make decisions rather than just consume data.
A community marketplace lets users browse strategies built and shared by other traders, clone the ones that interest them, and refine them as their own. Top contributors can publish and earn through the marketplace.
Automation is in testing and will allow users to deploy a strategy directly to their existing exchange account with one click, currently starting with Hyperliquid and expanding to nine additional brokers by end of year.
The AI Workforce
CoinQuant runs a hybrid workforce that is worth understanding on its own terms. The company has 15 human employees across the UAE, Lebanon, Pakistan, India, and the Philippines. It also has six or seven AI employees who operate alongside them in Slack, carry specific roles, and handle real work.
Henry is the Chief of Staff. Caleb is the Solutions Architect. Miles is a full-stack engineer. Simon handles quant work. Nolan is a platform engineer who monitors system stability and health, receives every support ticket as it comes in, and routes it immediately to the appropriate agent for processing. Theo builds other AI agents.
This is not a metaphor. These are functioning systems with defined responsibilities operating inside the company’s daily workflow. Ftouni’s position is that treating AI as an employee rather than a tool changes how it gets used and how accountable it is expected to be.
Business Model
CoinQuant operates primarily on a B2C subscription model with tiered access. Individual traders subscribe based on how far they want to go with the platform’s capabilities. The company also offers API access for users who want to integrate CoinQuant’s intelligence layer into their own systems without interacting with the front end.
The B2B channel emerged organically. Institutional funds began approaching CoinQuant to purchase the infrastructure and a white-label version of the platform. Ftouni had not planned for this when the company launched. He built it for individuals. The fact that funds came looking was its own validation signal.
Revenue from automation will be transaction-based, adding a second stream alongside subscriptions once the feature launches fully.
Market and Reach
CoinQuant’s primary market is the United States, where the majority of its marketing spend is concentrated. The platform serves English-speaking traders across major economies. It is built for global use and has no geographic restriction.
The platform currently has over 10,000 traders, 25,000 unique strategy backtests conducted, and 250 community strategies shared since launch in January 2026.
Funding and Support
CoinQuant has raised $2 million since inception through SAFE notes from angel investors. Ftouni’s preference is to continue on the angel investor path, drawing on relationships built during his years in the technology industry. Venture capital remains an option if needed but not a first choice.
Traction and Growth
The company considers itself in a growth phase. The January 2026 launch produced 5,000 users in under 30 days against an internal forecast of fewer than 1,000. Ftouni’s primary metric going forward is not revenue but margin, reflecting a deliberate position in an era where AI is compressing the economics of SaaS broadly. The second metric he is building toward is measuring CoinQuant’s share of global AI agent usage for trading, a number that does not yet have a standard way of being tracked but that he believes will matter enormously as autonomous agents become more active in financial markets.
The Global Blockchain Congress recognition, voted Best Startup to Invest In by more than 120 institutional crypto investors from a field of companies, was the company’s most significant external validation prior to launch.
Misconception
Two things consistently get attached to CoinQuant that Ftouni pushes back on directly. The first is that it is a crypto company. It is not. Hydra covers any asset class, and the platform’s architecture is deliberately agnostic. The second is that it is a broker. It is not. CoinQuant does not hold or move funds. It provides the intelligence and automation layer. The execution happens on the exchanges the trader already uses.
Outlook
The next 6 to 12 months are focused on three things. The mobile app launches on iOS and Android. Automation goes live with Hyperliquid first, with nine additional brokers to follow by end of year. And Hydra itself continues to mature, with memory optimization and deeper intelligence as the ongoing product priorities.
The product Ftouni scrapped in 2024 and rebuilt from scratch is now live, growing, and winning recognition from various investors. The infrastructure he could not find when he tried to build his fund is the infrastructure he built instead.
