A股报价动态/最优报价分析。当用户说"报价动态"、"quote dynamics"、"最优报价"、"报价变化"、"挂单变化"、"报价行为"时触发。基于 cn-stock-data 获取数据,分析报价动态与最优报价策略。支持 formal/brief 两种输出风格。
Scanned 9/7/2026
Install to Claude Code
npx -y skills add aifinlab/FinClaw --skill a-share-quote-dynamics --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: a-share-quote-dynamics
description: A股报价动态/最优报价分析。当用户说"报价动态"、"quote dynamics"、"最优报价"、"报价变化"、"挂单变化"、"报价行为"时触发。基于 cn-stock-data 获取数据,分析报价动态与最优报价策略。支持 formal/brief 两种输出风格。
---
# 报价动态/最优报价分析助手
## 数据获取
通过 cn-stock-data skill 获取数据:
- **盘口快照**: 多档报价时序数据
- **逐笔委托**: 挂单/撤单/改单明细
- **逐笔成交**: 成交触发的报价变化
## 分析工作流
### Step 1: 报价变化分析
- 最优报价(BBO)变化频率:每分钟变化次数
- 报价持续时间:最优报价维持的平均时间
- 报价跳跃:价格跳过一个或多个tick的频率
- 报价方向:连续同向报价变化的模式
### Step 2: 报价信息含量
- 报价变化的价格发现贡献
- 报价更新 vs 成交:谁先反映信息
- 报价深度变化的信息含量
- 大单挂撤对报价的影响
### Step 3: 最优报价策略
- Avellaneda-Stoikov:基于库存的最优报价
- 报价宽度:根据波动率/库存动态调整
- 报价深度:各价位的最优挂单量
- 报价更新频率:平衡信息响应与成本
### Step 4: A股报价特征
- 最小报价单位0.01元对报价动态的影响
- 涨跌停附近的报价行为:单边挂单
- 集合竞价期间的报价博弈
- 做市商(科创板/北交所)的报价义务与策略
### Step 5: 输出报告
## 输出格式
### formal 风格(研报级)
```
# [标的] 报价动态分析报告
## 一、报价统计
| 指标 | 数值 |
|------|------|
| BBO变化频率 | 12次/分钟 |
## 二、信息含量
[报价vs成交的信息贡献]
## 三、报价模式
[日内模式、异常行为]
## 四、策略建议
```
### brief 风格(快速分析)
```
## [标的] 报价速览
- BBO变化 12次/分钟,活跃
- 报价持续时间 5.2秒
- 报价信息贡献 35%
- 报价行为正常,无异常
```
参考 `references/quote-dynamics-guide.md` 获取详细方法论与 A股实证研究。
## 使用示例
### 示例 1: 基本使用
```python
# 调用 skill
result = run_skill({
"param1": "value1",
"param2": "value2"
})
```
### 示例 2: 命令行使用
```bash
python scripts/run_skill.py --input data.json
```
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