How prat617/nq-futures-stats works
This repository is presented as an NQ futures research-data collection. Its implemented workflow is limited to loading settings and attempting a daily OHLCV fetch; the fetch function is explicitly a placeholder, so it does not currently retrieve CME data. The README also describes processed data and research datasets, but no processing or analysis implementation appears in the tree. Those capabilities are shown as documented data areas, not as verified runtime flows.
Main entry points: fetch_nq_data.py Fetch script · settings.example.yaml Example settings · raw Raw downloads
Components 7
Data collection
- Fetch script
scripts/fetch_nq_data.py - Example settings
config/settings.example.yaml
Research data
- Raw downloads
data/raw - Processed datasets
data/processed - Contract specs
data/reference/nq_contract_specs.json - Research datasets
data/processed
Other components
- Researcher
Connections 3
- Researcher → Fetch script: runs
- Fetch script → Example settings: reads settings
- Fetch script → Raw downloads: writes nonempty results