Predictive intelligence for RFQ quoting
Your flow. Your edge. A better-informed quote.
Turn proprietary RFQ and client-flow data into a predictive layer for price and quote formation, informed by market context.
- Learn from what your desk sees. Bring RFQs, quotes, covers and outcomes together with relevant market signals.
- Evaluate candidate quote levels. Use calibrated fill probabilities and price uncertainty where supported by your data and validation.
- Retain your quote engine. Your desk owns the objective function, quote optimization, constraints and final decision.
Your data + market context → Hayek predictions → Your optimizer
Customer-data-powered predictive intelligence, with the dealer retaining its objectives, constraints and final quote.
Customer-data-powered predictive intelligence, with the dealer retaining its objectives, constraints and final quote.
Start with a defined use case and a measured evaluation. Deployment scope, data requirements and integrations are agreed per engagement. Trading outcomes depend on costs, liquidity and risk; returns are not guaranteed.