Conditional Stock Screener
Paste the following prompt into your AI chat to install this skill:
Install @user_d83d7c97/wm-screen-index according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem
Batch screening is often used for filtering by ROE, PE, dividend yield, or industry tags. The practical difficulty is field semantics and units: mixing real-time and EOD change fields, encoding ratios as integers, or misaligning time windows.
How It Works
This skill is the execution entry point for StockPicker, organized around the following path:
- Align fields first with indicators by name or alias
- Execute batch screening with conditions
- Estimate hit counts with preview_count to avoid overly broad or narrow filters
- Manage personal strategies with list_strategy, run_strategy, and save_strategy
Parameters are usually passed in args, such as market, conditions, top_n, and offset. Results are exposed through rows, row_ids, deeplinks, and freshness, making it easy to read candidate lists or open the workspace.
Boundaries
- Intended for batch screening, not single-company fundamental cards, watchlists, or index member lookup
- Ratio fields should use
0.15or15%, not15 - Use
$PERCENT_LASTfor same-day change and$CHG_1D_LASTfor EOD technical slices - After a successful run, display the returned
deeplinksas-is rather than constructing result URLs manually
Use Cases
- When building a weekly stock pool, filter by ROE, PE, and industry tags, preview hit counts, then execute screening.
- Before changing filters, align ROE, dividend yield, and other fields to correct column names and ratio formats.
- When reviewing saved strategies, list stored screening strategies and rerun the same condition set.
- When results are too large, use offset pagination and top_n to limit rows, then save the current filter.
Best For
- Equity research assistants maintaining stock pools who need batch filters by valuation and ROE.
- Individual investors managing saved screeners who need to list, rerun, and update filters.
- Fundamental quant researchers who need correct field names and ratio formats for ROE and dividend yield.
- Analysts generating candidate lists who need hit-count previews before widening conditions.
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