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PoliticalEventTrackingResearch

QSL architecture role

  • Layer: research.
  • Responsibility: public political and policy event evidence pipeline.
  • Owns: source items, source events, traceable research evidence.
  • Consumes: public RSS/web sources and downstream research consumers.
  • Must not: produce automatic trading instructions or mutate 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

PoliticalEventTrackingResearch is a QuantStrategyLab public event evidence pipeline. It tracks public political and policy event evidence for US equity research context.

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

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.

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Public political and policy event evidence pipeline for US equity research context.

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