alphasift - A-share stock screening, ranking, and post-evaluation tool
Filters, scores, and ranks A-share candidate stocks by strategy via CLI or Python, with optional LLM re-ranking and T+N post-evaluation.
Tags
Updated: 2026-09-17Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Screen A-share stocks by strategy
- List available screening strategies
- Rank candidate stocks with LLM
- Run post-analysis on top candidates
- Evaluate saved screening runs
- Cache industry and concept mappings
Inputs
- Strategy YAML profiles
- A-share daily market data
- Candidate context files
- LLM API configurations
- DSA API endpoint URL
Outputs
- ScreenResult JSON output
- Saved screening run records
- Industry mapping CSV cache file
- T+N post-evaluation reports
Requirements
- Local alphasift package installation
- A-share market support
- Daily market data source access
- Optional LiteLLM API access
- Optional DSA service access