ppnn13%

stock-screener-cn

Professionalv1.0.0
By ppnn13%Updated 2026-05-11@clawhub_otouman/stock-screener-cn
Finance#Stock#股票

According to AlphaMoat, as of 2026-09, stock-screener-cn has 3,339 downloads and 4 stars — ranked #3,384 of 5,078 AI skills overall, and #278 of 465 in Professional.

Installs
502
Downloads
3.3K
Stars
4
Overall Rank
#3,384
Top 67% overall · Top 60% in Professional
PlatformInstallsDownloadsStarsComments
ClawHub ↗862.8K4-
SkillHub ↗5023.3K4—

Platforms count differently and update at different times.

What this skill does

The documentation lists moving-average, price-volume and combined strategies, using AKShare for quotes and historical data covering Shanghai and Shenzhen A-shares and Hong Kong Stock Connect instruments. Results show codes, names, matched strategies and key indicators in a table. Python and related data-processing dependencies are required; technical analysis is for reference and is not investment advice. Market data, filters and generated analysis can be incomplete or delayed; treat outputs as research aids, not investment advice.

Profile published 2026-10-27

What you can do with it

  • Screen candidate stocks using moving-average and trading-volume conditions

When to use it

  • When the user specifies technical patterns, moving-average strategies or stock-screening criteria

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Screen stocks with bullish moving-average alignment and a low-volume pullback, showing the matched conditions and key indicators.

Monthly Trend

Downloads3.3K
1.4K2.4K3.5K2026-03 · Downloads 1.5K2026-05 · Downloads 2.0K2026-06 · Downloads 2.3K2026-07 · Downloads 2.5K2026-08 · Downloads 2.7K2026-09 · Downloads 3.3K26-0326-09
Stars4
3452026-03 · Stars 42026-05 · Stars 42026-06 · Stars 42026-07 · Stars 42026-08 · Stars 42026-09 · Stars 426-0326-09

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change. Other skills share this name; figures from before the change are attributed to this one, which currently has the most downloads.

MonthDownloadsMoMStars
2026-093.3K—4
2026-082.7K+6.7%4
2026-072.5K+13.0%4
2026-062.3K+10.3%4
2026-052.0K—4
2026-031.5K—4

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

2.3 KB · ClawHub v1.0.0
---
name: stock-screener-cn
description: 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。
---

# 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。

## 支持的筛选策略
Show all (83 lines)

### 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

```bash
# 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](references/strategies.md)

## 依赖安装

```bash
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。

Popular in Professional

Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.