Quant Stock Selector

This repository contains the A-share industry trend selector.

Script

a_share_trend_selector.py

Industry-first trend selection strategy.

• Selects strong industries first
• Selects stocks from chosen industries
• Uses Tushare as the primary data source
• Uses AkShare as a fallback when Tushare does not return usable data
• Keeps local caches under .hist_cache/ to speed up repeated runs
• Outputs Excel reports with industry, stock, and diagnostics sheets

Run:

.venv/bin/python a_share_trend_selector.py

Environment

Use the project virtual environment:

python3 -m venv .venv
.venv/bin/pip install -r requirements.txt
export TUSHARE_TOKEN=your_tushare_token_here

Data Source Auth

The repository uses:

• TUSHARE_TOKEN for the main data path
• AkShare as the fallback data source from requirements.txt
• CODE_LIMIT for small-scope debugging runs
• ALLOW_COMPONENT_SHEET_FALLBACK=1 only if you explicitly want to reuse the last Excel result as a temporary component fallback

Ignored Runtime Files

Generated files are intentionally excluded from Git:

• .hist_cache/
• trend_selector_results_run*.xlsx
• run_full.log
• .DS_Store
• __pycache__/

If your entire ifind workspace is synced through iCloud, the .hist_cache/ directory will be synced with it as well, so another machine using the same synced folder can reuse the cache directly.