Greyhound Quant: Market Making Dynamics

Market Making Lifecycle

An algorithmic analysis of greyhound bookmaking, from origination to settlement.

Objective

This interface deconstructs the black box of sports trading. It is designed for quants and model developers to understand how odds are compiled, managed, and exploited. Navigate through the modules to simulate the lifecycle of a single market.

Key Core Concepts

  • Pricing: Logistic regression & Poisson models.
  • Risk: Distinguishing 'Sharp' vs 'Retail' flow.
  • Margin: Non-linear application of vig (Fav-Longshot bias).
  • Latency: The millisecond war for stale prices.

Note for Analysts: The simulations below use simplified deterministic models for demonstration. Real-world production environments utilize complex stochastic differential equations and real-time liquidity aggregators.