ABOUT
Built by the team at Bonton AI.
Hedgicore is a stat-arb platform for crypto perpetual futures. Verify the people, methodology and limits behind the platform before you trust the analytics. We name the team, name the parent firm, link to the methodology paper and disclose what we do and what we deliberately do not.
WHAT WE BUILT
An adaptive spread workbench for crypto-perp stat arb.
Hedgicore builds an adaptive crypto-futures spread that handles the regime drift, funding flows and cointegration checks that crypto perpetuals require. You bring whatever technical indicator you already know (Z-score, MACD, Bollinger Bands, Stochastic, Nadaraya-Watson and others) and apply it to the spread. A set of proprietary Hedgicore indicators calibrated specifically for the spread ships later this year.
The full design principles, indicator definitions, backtest scope and references to the academic foundations are in The Hedgicore Engine Methodology Paper (v2.0, May 2026): hedgicore.com/methodology.
WHY WE BUILT IT
The tool we wanted did not exist.
We could find general charting tools (TradingView, Coinigy) and execution platforms for crypto perpetuals (the exchanges themselves, plus a long list of order-management tools). What we could not find was a serious spread workbench for crypto-perp stat arb: regime-aware hedge ratios, cost-aware backtests, indicators calibrated for the substrate and a UI that lets you iterate without exporting to Excel.
We built Hedgicore because we wanted that workbench ourselves. The team has quantitative trading and engineering backgrounds; when we could not find a platform that handled crypto stat arb the way we wanted to, we built one.
WHO WE ARE
The team behind Hedgicore.
Hedgicore is built by the team at Bonton AI, a quantitative research and development firm in Yerevan (bonton.ai). The institutional and custom engineering work happens there. Hedgicore takes the same stat-arb tooling and packages it for individual traders, small teams and research groups.
Robert Yenokyan
FOUNDER
Robert founded Hedgicore and Bonton AI, the quantitative research and development firm behind it. He works in financial machine learning and statistical arbitrage, previously led AI at Pinsight, and lectures at Yerevan State University. He built Hedgicore to put the kind of stat-arb tooling that usually lives inside funds into the hands of individual researchers.
LinkedIn →
Ashot Karapetyan
SOFTWARE ENGINEER
Ashot is a software engineer at Bonton AI, contributing to Hedgicore’s quantitative trading and research platform. He works on building reliable, user-focused tools for real-time market analytics, including interactive charts, screeners, alerts, and workflows that make statistical arbitrage research more accessible to individual traders and researchers.
LinkedIn →
Argin Aghajanyan
UI/UX & PRODUCT DESIGNER
Argin designs the product experience and interface of Hedgicore. He focuses on making data-heavy financial workflows clearer, more structured and easier to use for traders, researchers and small teams. He works across user flows, dashboard layouts, visual hierarchy, responsive interfaces and developer-ready handoff, helping translate Hedgicore’s complex stat-arb tooling into a clean and practical product experience.
LinkedIn →
Areg Hovhannisyan
PRODUCT MANAGER AND OWNER
Areg is the Product Manager and Owner at Bonton AI, leading the feature lifecycle and product strategy for Hedgicore. Integrating his practical experience as a crypto P2P Operations Specialist with a background in applied mathematics, he focuses on turning complex statistical arbitrage models into intuitive product features. He ensures the platform's core workflows are fully optimized for real-world trading execution.
LinkedIn →Hedgicore is built by a small product, engineering and design team at Bonton AI in Yerevan.
HOW WE THINK ABOUT THE PLATFORM
Principles we hold ourselves to.
Honest about stage. Hedgicore is in beta. Most of the platform is live; some of what we describe (multi-leg portfolios, cross-venue stat arb, copula-based indicators) is on the roadmap. The methodology paper §6 names each roadmap item explicitly so you know what is shipped and what is planned.
Honest about scope. Hedgicore is an analytics platform. It does not execute trades or hold customer funds. Trading carries risk of loss; the platform does not change that.
Honest about limits. The backtest models funding, fees and realistic fills. It does not model tick-level microstructure, liquidation cascades, listing/delisting events or order-book impact at large notionals. We document the omissions in the methodology paper §5 because the alternative (pretending the backtest is a perfect simulator) produces strategies that look deployable on the screen and lose money in production.
Built for individuals, teams and prosumers. Hedgicore is for individual traders, small teams, research groups and prosumers. Institutional deployments are handled by Bonton AI directly. The product, the pricing and the documentation are scaled for the retail and prosumer audience.