# SignalCanvas Agents

Architecture & Testing Guide
- Language: Python (package name: signalcanvas_graph_based_market_signal_s)
- Core tech: Python 3.8+, dataclasses, simple cryptographic hashes for attestations
- Tests: pytest-based test suite located in tests/
- Build: python3 -m build to create wheels; test.sh runs tests and build to verify packaging
- Run locally: bash test.sh

Conventions
- All code lives under signalcanvas_graph_based_market_signal_s/ with a lightweight delta-sync extension in delta_sync.py
- Readable, minimal APIs: Graph primitives (SignalNode, Link, Scenario, HedgePlan), backtester, privacy, NLP
- Adapters live in adapters.py and are designed to be extended for FIX/WebSocket and simulated venues

Phases (as per MVP plan)
- Phase 0: Graph core, 2 adapters, local replay engine
- Phase 1: Delta-sync protocol + narrative templates
- Phase 2: Cross-venue demo with governance ledger scaffolding

How to contribute
- Follow the repository’s existing Python packaging and test commands
- Add new adapters or primitives with corresponding tests under tests/
- Update README with usage and examples