ResearchSignalContextPipelines

QSL architecture role

• Layer: research.
• Responsibility: medium/long-horizon research signal context pipeline.
• Owns: theme context artifacts and AI shadow context outputs.
• Consumes: public/research inputs and downstream advisory/pipeline consumers.
• Must not: submit orders or mutate live runtime allocations.

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.