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# marketcompiler-verifiable-dsl-edge-compi
Idea summary: A novel, open-source compiler-runtime that lets portfolio managers and fintech developers express investment rules, risk budgets, and execution policies in a mathematically-precise DSL, which is then compiled into portable, verifiable e
Idea summary: A novel, open-source compiler-runtime that lets portfolio managers and fintech developers express investment rules, risk budgets, and execution policies in a mathematically-precise DSL, which is then compiled into portable, verifiable execution graphs suitable for edge devices and desktop workloads.
This repository hosts a lightweight MVP that focuses on portability, auditability, and offline testing for verifiable investment-strategy DSLs.
Key goals
- A portable DSL to express assets, objectives (return vs. risk), constraints, and execution policies.
- Verifiable IRs with per-step proofs and cryptographic signing to support end-to-end auditability.
- Offline-first execution and deterministic delta-sync for governance-enabled workflows.
- Lightweight, interoperable adapters to plug in data feeds, risk models, and broker interfaces.
What you get in this MVP
- Core models: LocalProblem, PlanDelta, AuditLog (in marketcompiler_verifiable_dsl_edge_compi/core.py).
- Signer: simple HMAC-based signing to attest plans (marketcompiler_verifiable_dsl_edge_compi/signer.py).
- Adapters: starter adapters (PriceFeedAdapter, MockBrokerAdapter) implementing a common interface (AbstractAdapter).
- Graph-of-Contracts registry: tiny registry to track adapter schemas and versioning (marketcompiler_verifiable_dsl_edge_compi/registry.py).
- Deterministic backtester: small offline tester to validate DSL-derived plans against historical data (marketcompiler_verifiable_dsl_edge_compi/backtest.py).
- Packaging ready: Python packaging metadata in pyproject.toml and a functional test suite.
How to use (quickstart)
- Install locally: python3 -m build && pip install dist/marketcompiler_verifiable_dsl_edge_compi-0.0.1-py3-none-any.whl
- Run tests: ./test.sh
- Example usage:
- Define a LocalProblem with assets and objectives.
- Create a PlanDelta to capture changes, sign with Signer, and serialize to JSON.
- Use Backtester.run(lp) to validate a DSL-derived plan against prices.
Design notes
- The MVP emphasizes simple, explicit data models and deterministic behavior to enable offline testing and governance workflows.
- The Graph-of-Contracts and adapters are designed to scale as a marketplace of data feeds, risk models, and brokers. TLS-based transport is planned for real adapters.
- The repository is intentionally small but structured to support rapid extension in Phase 03 of the MVP plan.
Roadmap (812 weeks)
- Phase 0 (done for MVP): DSL parser, core IR, two starter adapters, basic local backtester, delta-sync skeleton, tamper-evident AuditLog.
- Phase 1: Risk budgets (VaR, CVaR), drawdown constraints, governance ledger, cryptographic signing for plans.
- Phase 2: Cross-exchange adapters, simple optimizer backend for multi-venue execution, mobile SDK for edge execution.
- Phase 3: End-to-end test harness with simulated markets, metrics on reproducibility, delta-sync latency, and audit-trail completeness.
Contributing
- See AGENTS.md for architecture and testing rules. This project follows a pragmatic MVP approach with a strong emphasis on correctness and auditability.
License and contact
- This project is open-source and designed for collaborative improvement.

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- a basic deterministic backtester
"""
# Package version (synchronized with pyproject dynamic version)
__version__ = "0.0.1"
from .core import LocalProblem, PlanDelta, AuditLog
from .signer import Signer
from .adapters import AbstractAdapter, PriceFeedAdapter, MockBrokerAdapter

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