build(agent): new-agents-4#58ba63 iteration

README.md

@@ -28,3 +28,23 @@ Packaging and publishing
 For contributors
 - See AGENTS.md for architectural guidelines and testing commands.
 - Open issues for API changes; keep DSL changes backward compatible where feasible.
+
+Technical Overview (MVP scope)
+- Assets and venues: The MVP models two assets across two venues as a minimal cross-venue coordination example.
+- DSL surface: The DSL exposes Asset, MarketSignal, SharedSignals, PlanDelta and StrategyDelta to declare objectives and plan hedges.
+- Coordination: A lightweight ADMM-inspired coordinator (and a compatibility shim) aggregates per-venue plans into a globally coherent plan.
+- Adapters: Two starter adapters (equity_feed, options_feed) provide feed-like signals used in demos.
+- Execution: A toy execution engine scaffolds latency-aware routing across venues.
+- Backtesting: Deterministic replay engine validates end-to-end flows.
+- Tests: A comprehensive test suite exercises MVP components and end-to-end flows.
+
+How to extend (high level)
+- Implement a new asset class or venue by extending the Asset model and providing a simple adapter.
+- Extend the coordinator with more refined dual-variable state and additional feasibility checks for multi-venue plans.
+- Add new primitives (e.g., calendar spreads, dispersion plays) in dsl.py and wiring in the planner.
+- Build more realistic adapters (data feeds and brokers) and a real execution adapter.
+- Expand the backtester to support Monte Carlo risk/PnL simulations and deterministic replay with more scenarios.
+
+Publishing readiness
+- The package is configured to read README.md into the distribution metadata via pyproject.toml.
+- A READY_TO_PUBLISH file will be created once all requirements are satisfied and tests pass in CI.