build(agent): new-agents-4#58ba63 iteration
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README.md
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README.md
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@ -19,6 +19,34 @@ Usage
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- CLI (Python module):
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python -m equicompiler_algebraic_portfolio_dsl_to_.cli path/to/dsl_file.txt
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Verifiable DSL Overview
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- The EquiCompiler MVP translates a mathematically precise portfolio DSL into a portable, verifiable IR (EquiIR).
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- Each transformation step embeds lightweight cryptographic attestations (digest-based) to ensure auditability and replayability without leaking sensitive data.
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- A Graph-of-Contracts (GoC) skeleton is attached to the IR to enable plug-and-play adapters for data feeds and brokers, while preserving versioned contracts and compatibility.
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- The system supports offline-first evaluation with deterministic delta-sync, enabling local backtests and plan replay when connectivity resumes.
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- Backends are designed for cross-runtime portability: Python backtester for offline tests, C++ for live trading, and WebAssembly for browser-based evaluation.
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- The MVP keeps a minimal, stable surface area while providing clear extension points for future formal verification hooks and delta-sync workflows.
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Example workflow
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- Parse a DSL to IR (programmatic):
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``from equicompiler_algebraic_portfolio_dsl_to_.core import parse_dsl_to_ir``
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``dsl = "assets: AAPL, MSFT, GOOG\nobjectives: maximize_return\nconstraints: max_drawdown=0.2, var=0.95"``
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``ir = parse_dsl_to_ir(dsl)``
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``print(ir)``
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- Use the CLI to validate and inspect the IR produced from a file:
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``python -m equicompiler_algebraic_portfolio_dsl_to_.cli path/to/dsl_file.txt``
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Roadmap (high level)
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- Phase 0: DSL to IR, start backends (Python backtester, minimal C++ live skeleton) and a minimal GoC registry.
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- Phase 1: Formal verification hooks and delta-sync for offline/online reconciliation.
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- Phase 2: Cross-backend interoperability tests with toy adapters.
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- Phase 3: Hardware-in-the-loop (HIL) testing with partitioned portfolios.
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Publishing readiness
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- This repository is designed for packaging as a Python module named
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``equicompiler_algebraic_portfolio_dsl_to`` with versioning in ``pyproject.toml``.
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- The README now includes a marketing-style overview and usage examples to aid publication.
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Project structure
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- AGENTS.md: architecture and testing guidelines for future agents
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- README.md: this file
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