A股市场集中度/筹码集中度分析
SkillDev toolsA-share market concentration / chip (shareholding) concentration analysis. Triggered when the user says "集中度", "concentration", "筹码集中", "HHI", "CR10", or "龙头占比". Performs quantitative analysis of market or industry concentration. Supports formal and brief styles.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the A股市场集中度/筹码集中度分析 skill
What this skill tells your AI
The instructions your AI receives, as published by aifinlab/finclaw in skills/a-share-concentration-index/SKILL.md and read by ahel’s review.
数据源
SCRIPTS="$SKILLS_ROOT/cn-stock-data/scripts"
python "$SCRIPTS/cn_stock_data.py" kline --code [CODE] --freq daily --start [日期]
python "$SCRIPTS/cn_stock_data.py" quote --code [CODE]
python "$SCRIPTS/cn_stock_data.py" finance --code [CODE]
Workflow
Step 1: 获取行业/市场数据
Step 2: 计算集中度指标
- CR_n: 前N名市值/营收占比
- HHI: 赫芬达尔指数 = Σ(s_i²)
- 基尼系数: 收益率/市值分布的不均匀度
Step 3: 集中度变化趋势
历史集中度时序变化
Step 4: 输出
| 维度 | formal | brief |
|---|---|---|
| 集中度指标 | CR5/10/20+HHI | CR5 |
| 趋势 | 历史变化序列 | 升/降 |
| 默认风格：brief。 |
关键规则
- 集中度上升→龙头溢价→适合集中持仓
- 集中度下降→百花齐放→适合分散持仓
- A股近年行业集中度趋势上升（供给侧改革后）
- 筹码集中度可用股东人数变化衡量
- HHI > 2500为高度集中
使用示例
示例 1: 基本使用
# 调用 skill
result = run_skill({
"param1": "value1",
"param2": "value2"
})
示例 2: 命令行使用
python scripts/run_skill.py --input data.json
Signals
- GitHub stars
- 241
- Forks
- 38
- Last commit
- May 2026
Advanced
- Catalog kind
- skill
- Gateway key
a-share-concentration-index- Source
- github.com/aifinlab/finclaw