# ML-CV Hedge Studio (Minimal MVP)

This repository provides a minimal, production-oriented scaffold for an ML-driven cross-venue hedge synthesis engine. The MVP includes core DSL primitives, a toy hedge synthesis engine, and lightweight adapters to bootstrap interoperability.

What you can find here:
- Core DSL: Asset, MarketSignal, RiskState, HedgePlanDelta, GraphOfContracts
- Hedge engine: HedgeSynthesisEngine with a simple Budget model
- Adapters: PriceFeedAdapter (toy) and OptionsVenueAdapter (stubbed)
- Delta-sync: deterministic replay placeholder

How to run tests:
- Install dependencies: python3 -m pip install -r requirements.txt
- Run: pytest

Build packaging:
- Run: python3 -m build

This is a starting point. The MVP can evolve toward a full ML-driven cross-venue hedging engine with privacy-preserving signal sharing and delta-sync guarantees.