Quant Data Ingest

Ingest quantitative trading data via akshare into the Timeseries Memory backend.

Knuckles-Team 9a23cd1 650 B Updated

File contents

Quant Data Ingest Skill

Use this skill to fetch, normalize, and store high-frequency data using the akshare library.

Workflow

  1. Identify the requested asset, timeframe, and macro-indicators.
  2. Formulate the akshare API call equivalent.
  3. Use the agent_utilities IntelligenceGraphEngine (via graph_orchestrate) to submit an ingest_akshare task.
  4. Verify the data is flowing into the Time-Series memory abstraction.

Execution

Dispatch the task to the Knowledge Graph using the orchestration engine.

Knuckles-Team/universal-skills/tree/main/universal_skills/finance/quant-data-ingest commit 9a23cd1de2

Frequently asked questions

npx skillmds@latest add knuckles-team/quant-data-ingest