Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
stock-screener-cn
A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。
skill openclawclawhub Free
A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。
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/screen_stocks.py, references/strategies.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- otouman
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
A股技术形态筛选器
专注于A股和港股的技术形态筛选，支持多种经典策略。
1. 均线策略
均线多头排列: MA5 > MA10 > MA20 > MA60 均线向上: 均线连续N日上升 金叉/死叉: 短期均线上穿/下穿长期均线 回踩不破: 股价回踩均线后反弹
2. 量价策略
缩量回踩: 股价回调时成交量萎缩 放量突破: 成交量放大的同时突破关键位置 量价背离: 价格与成交量走势不一致
3. 组合策略
大帅逼策略: 五日线十三日线均向上 + 缩量回踩 + 未破五日线 龙回头: 强势上涨后回调至关键均线 + 缩量企稳 老鸭头: MA5上穿MA10形成鸭头形态
使用方式
用户可以通过自然语言描述筛选条件，例如： "帮我筛选均线多头排列的股票" "五日线十三日线均向上，昨日缩量回踩未破五日线" "找出放量突破的股票"
数据源
使用AKShare获取A股实时数据，支持： 深A、沪A全市场股票 港股通标的 实时行情和历史数据
输出格式
筛选结果将以表格形式展示： 股票代码和名称 匹配的策略名称 关键指标（均线位置、成交量变化等） 信号强度评分
快速使用
# 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
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
详细策略说明
参见 references/strategies.md
依赖安装
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。
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Scripts
- SKILL.md
- references/strategies.md
- scripts/screen_stocks.py