Our Thesis
The core idea
Quote addresses the structural inefficiencies of the perpetuals market by introducing a permissionless trading desk. Our platform puts institutional-grade algorithms and trading execution strategies at anyone's fingertips, leveraging liquidity from Hyperliquid.
The core of our solution is the Quote Execution Engine, a high-performance engine that optimizes how traders' orders interact with the underlying market:
Executions are continuously optimized with real-time market data from HyperCore and other trading venues to capture the best possible prices, inclusive of exchange fees
Instead of sending a naive order to the book, the QEE breaks parent trades into multiple optimized child orders
Orders are routed through Hyperliquid via Builder Codes, maintaining a non-custodial environment that enables us to deliver professional execution while traders retain control of their assets
By using Quote, we expand an institutional service to on-chain traders, internalizing part of the value leakage from Market Makers and High-Frequency Traders.
Technical overview
Quote uses an order management system (OMS) developed from first principles.
Quote uses battle-tested algorithmic strategies and infrastructure to place traders' orders based on the following parameters: a) asset, b) leverage, c) size, d) urgency, and e) price strictness. Each datapoint is fed to an algorithmic suite that continuously ingests HyperCore data on orders, traded volume, standing liquidity, and volatility; taking into account trading activity on other venues as well.
Once an order is submitted through the Quote UI or via the Quote API, trader order data is routed through the Quote Execution Engine, which uses recorded market data to optimize the parent order by breaking it into child orders and submitting them to Hyperliquid via Builder Codes.
Traders' orders are opened via the use of an Agentic Wallet, and the underlying positions are traded on HyperCore.
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