---
name: akshare-capital-6398b044b211
description: "资金流向Skill - 追踪主力资金、散户资金、北向资金、板块资金流向 via AkShare/东方财富"
metadata:
  openclaw:
    requires:
      bins: ["python3"]
    install:
      - id: python-packages
        kind: pip
        packages: ["akshare", "pandas", "pyyaml"]
---

# SKILL.md - akshare-capital

## 技能信息

| 属性 | 内容 |
|:---|:---|
| **名称** | akshare-capital |
| **版本** | 1.1.0 |
| **分类** | 资金流向 |
| **状态** | ✅ 已上线 |
| **维护者** | FinClaw Core Team |
| **最后更新** | 2026-03-19 |

## 功能描述

资金流向Skill，提供个股资金流向、板块资金流向、主力资金排行、北向资金（陆股通）明细等数据。追踪超大单/大单/中单/小单资金动向，识别主力建仓/出货信号。

## 触发意图

### 主要触发词
- "资金流向"、"主力资金"
- "超大单"、"大单"、"北向资金"
- "主力流入"、"主力流出"
- "资金净流入"、"资金排名"
- "陆股通"、"沪股通"、"深股通"

### Few-shot 示例

| 用户输入 | 识别意图 | 调用函数 |
|:---|:---|:---|
| 茅台资金流向如何？ | capital_flow | capital_flow.py 600519 |
| 主力资金流入哪些板块？ | capital_board | capital_board.py |
| 北向资金今天买了什么？ | capital_north | capital_north.py |
| 主力资金排名 | capital_main | capital_main.py |

## 数据源配置

| 数据类型 | 主要来源 | 备用来源 | 认证要求 |
|:---|:---|:---|:---:|
| 个股资金流向 | AkShare-东方财富 | - | 无需 |
| 板块资金流向 | AkShare-东方财富 | - | 无需 |
| 北向资金 | AkShare-交易所 | - | 无需 |
| 主力资金排行 | AkShare-东方财富 | - | 无需 |

## 资金流向分类

| 类型 | 定义 | 代表意义 |
|:---|:---|:---|
| **超大单** | >100万股或>100万元 | 机构主力、大资金建仓/出货 |
| **大单** | 20-100万股或20-100万元 | 大资金、基金调仓 |
| **中单** | 4-20万股或4-20万元 | 中等资金、私募/大户 |
| **小单** | <4万股或<4万元 | 散户资金 |

## 功能列表

### 1. 个股资金流向
- **功能描述**: 获取特定股票的资金流向明细
- **输入参数**: 股票代码
- **输出格式**: Markdown表格（超大单/大单/中单/小单净流入）
- **数据源**: AkShare-东方财富
- **数据时效**: 实时（交易时间内）
- **使用示例**:
  ```bash
  python scripts/capital_flow.py 600519
  python scripts/capital_flow.py 300750
  ```

### 2. 板块资金流向
- **功能描述**: 获取各行业板块的资金流向排行
- **输入参数**: 无（全板块）或板块名称
- **输出格式**: Markdown表格（净流入排行）
- **数据源**: AkShare-东方财富
- **数据时效**: 实时
- **使用示例**:
  ```bash
  python scripts/capital_board.py
  python scripts/capital_board.py --limit 20
  ```

### 3. 北向资金明细
- **功能描述**: 获取北向资金（陆股通）当日买卖明细
- **输入参数**: 无
- **输出格式**: Markdown表格（沪股通/深股通净流入、个股买卖）
- **数据源**: AkShare-交易所
- **数据时效**: 实时
- **使用示例**:
  ```bash
  python scripts/capital_north.py
  ```

### 4. 主力资金排行
- **功能描述**: 获取主力资金净流入/流出排行
- **输入参数**: 市场（sh/sz/all）、排序方式
- **输出格式**: Markdown表格
- **数据源**: AkShare-东方财富
- **数据时效**: 实时
- **使用示例**:
  ```bash
  python scripts/capital_main.py
  python scripts/capital_main.py --market sh --limit 30
  ```

## 脚本清单

| 脚本名 | 功能 | 入口点 |
|:---|:---|:---:|
| capital_flow.py | 个股资金流向 | ✅ |
| capital_board.py | 板块资金流向 | ✅ |
| capital_north.py | 北向资金明细 | ✅ |
| capital_main.py | 主力资金排行 | ✅ |

## 资金流向解读

### 净流入/流出
| 情形 | 超大单 | 大单 | 中单 | 小单 | 解读 |
|:---|:---:|:---:|:---:|:---:|:---|
| **主力建仓** | +++ | ++ | - | --- | 机构买入，散户卖出 |
| **主力出货** | --- | -- | + | +++ | 机构卖出，散户接盘 |
| **一致看多** | +++ | ++ | + | ++ | 各资金集体流入 |
| **一致看空** | --- | -- | - | -- | 各资金集体流出 |
| **震荡洗盘** | +- | -+ | +- | +- | 资金分歧，震荡为主 |

### 北向资金信号
| 北向资金 | 信号 | 意义 |
|:---|:---:|:---|
| 连续3日净流入 >50亿 | 🟢 强烈看多 | 外资大幅加仓 |
| 连续3日净流出 >50亿 | 🔴 强烈看空 | 外资大幅减仓 |
| 单日净流入 >100亿 | 🟢 积极信号 | 外资抢筹 |
| 单日净流出 >100亿 | 🔴 警示信号 | 外资逃离 |
| 小幅波动 ±20亿 | ⚪ 中性 | 正常波动 |

## 数据来源标注规范

本Skill所有输出数据将按以下格式标注来源：

```markdown
---
📊 **数据来源**: AkShare-东方财富
⏱️ **数据时间**: 2026-03-19 10:30:15
📌 **统计口径**: 超大单(≥100万)/大单(20-100万)/中单(4-20万)/小单(<4万)
🔗 **原始来源**: 东方财富资金流向
🔧 **分析工具**: FinClaw v1.0
```

## 依赖要求

```
akshare>=1.10.0
pandas>=1.3.0
pyyaml>=5.4.0
```

## 更新日志

| 版本 | 日期 | 变更内容 |
|:---|:---:|:---|
| 1.1.0 | 2026-03-19 | 符合FinClaw数据规范v1.0 |
| 1.0.0 | 2026-03-13 | 初始版本 |

## 相关链接

- AkShare文档: https://www.akshare.xyz
- 东方财富: http://www.eastmoney.com
- FinClaw数据规范: `finclaw/config/data_source_config.yaml`

---

*本Skill遵循 FinClaw 数据规范 v1.0 | 数据来源强制标注 | 禁止训练数据编造*


---
Source attribution: aifinlab
Original project: https://github.com/aifinlab/FinClaw/blob/9e62862d1412157fa03ffd1f0b74969dcf0ed66c/skills/akshare-capital/SKILL.md
License: Apache-2.0
License information: https://www.apache.org/licenses/LICENSE-2.0
Original upstream instructions; downloaded from Mega AI Hub.

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# Mega AI Hub resource metadata

Creator / publisher: aifinlab
Original project: https://github.com/aifinlab/FinClaw/blob/9e62862d1412157fa03ffd1f0b74969dcf0ed66c/skills/akshare-capital/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Finance & Accounting
Roles: Data Analyst, Financial Analyst, Market Research Analyst
Specialties: API, Database
Tools: Akshare, Pandas, Pyyaml
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 6de42a043762d0eb0e5fcadfc375ea8f79c0e18c816f250345cc1cee59ea3422
