stock-screener-cnA股/港股技术形态筛选器。支持多种技术分析策略,包括均线多头排列、缩量回踩、放量突破、K线形态等。当用户询问股票筛选、技术形态、选股条件、均线策略时使用此技能。
Install via ClawdBot CLI:
clawdbot install otouman/stock-screener-cn专注于A股和港股的技术形态筛选,支持多种经典策略。
用户可以通过自然语言描述筛选条件,例如:
使用AKShare获取A股实时数据,支持:
筛选结果将以表格形式展示:
# 筛选满足"大帅逼策略"的股票
python scripts/screen_stocks.py -s 大帅逼策略 -m 深A
# 组合多个策略
python scripts/screen_stocks.py -s 均线多头排列 缩量回踩 -m 沪A -l 30
| 参数 | 说明 | 默认值 |
|------|------|--------|
| -s, --strategy | 策略名称(可多选) | 大帅逼策略 |
| -m, --market | 市场:A股/深A/沪A/港股 | A股 |
| -l, --limit | 最大返回数量 | 30 |
| --min-price | 最低价格 | 3.0 |
| --max-price | 最高价格 | 300.0 |
pip install akshare pandas numpy
风险提示:技术分析仅供参考,不构成投资建议。股市有风险,投资需谨慎。
Generated Feb 27, 2026
Retail investors in China and Hong Kong markets use this skill to screen stocks based on technical patterns like moving average crossovers and volume-price strategies. It helps them identify potential buy/sell signals for short-term trading decisions, such as finding stocks with golden crosses or breakout patterns.
Professionals in brokerage firms or investment advisory services utilize this skill to generate stock recommendations for clients. They apply combination strategies like '大帅逼策略' to filter stocks with strong technical indicators, aiding in portfolio construction and market analysis reports.
Developers building automated trading systems integrate this skill to incorporate technical screening rules into algorithms. They use it to pre-select stocks meeting criteria like moving average alignments or volume divergences before executing trades based on predefined strategies.
Online learning platforms teaching stock market analysis employ this skill to demonstrate technical screening concepts to students. It allows hands-on practice with real-time data from A-shares and H-shares, illustrating patterns like '龙回头' or '老鸭头' for educational simulations.
Offer this skill as a paid API for developers and financial firms to access real-time stock screening data. Charge monthly or per-query fees based on usage tiers, with premium features like advanced strategy combinations and higher data limits.
Develop a mobile application where users can screen stocks for free with basic strategies, while advanced features like custom strategy builders or historical backtesting require a premium subscription. Monetize through in-app purchases and ads.
License this skill to brokerage platforms as an embedded tool for their clients. Provide white-label solutions that integrate with existing trading interfaces, generating revenue through licensing fees or revenue-sharing agreements based on user engagement.
💬 Integration Tip
Integrate this skill by installing dependencies like AKShare and using the provided Python scripts; ensure real-time data access is configured for accurate screening results.
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