ResearchSignalContextPipelines

Chinese README

Investing involves risk. This project does not provide investment advice and is for education, research, and engineering review only.

What this repository is

ResearchSignalContextPipelines is a QuantStrategyLab research signal context pipeline. It builds medium-horizon theme context and long-horizon AI shadow context artifacts.

It produces research, audit, or orchestration artifacts. It should not submit broker orders or mutate live allocations by itself.

Output boundary

• Treat generated reports as evidence or review material, not automatic trading instructions.
• Keep source traceability and artifact timestamps visible.
• Require human review before using outputs in downstream strategy or platform changes.
• Keep credentials, private data, and external service tokens out of Git and logs.

Repository layout

• src/: library and runtime code.
• tests/: unit, contract, and regression tests.
• docs/: runbooks, design notes, evidence, and integration contracts.
• .github/workflows/: CI, scheduled jobs, release, or deployment workflows.
• scripts/: operator scripts and local helpers.
• config/: runtime or pipeline configuration.

Quick start

python -m pip install -e .
python -m pytest -q

Useful docs

• docs/architecture.md

Community and security

• See CONTRIBUTING.md for pull request scope, local verification, and documentation expectations.
• Follow CODE_OF_CONDUCT.md for maintainer and contributor conduct.
• Report credential, automation, broker, exchange, or cloud-resource vulnerabilities through SECURITY.md; do not open public issues for secrets or live-execution risk.

License

See LICENSE.