据 AlphaMoat 统计,截至 2026-09,allstock-data 累计下载 3,900 次、获 1 个星标,在全部 5,078 个 AI 技能中排名第 2,663 位,在「专业领域」分类(465 个)中排名第 218 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 110 | 3,900 | 1 | - |
| SkillHub ↗ | 191 | 3,783 | 1 | — |
各平台的计数口径不同,统计时间不一致。
默认使用腾讯财经,可选adata扩展字段。需检查编码、时间和无效代码响应并避免高频请求;部分示例使用HTTP,重大用途前应与可信HTTPS来源交叉核验。可选依赖需固定,并确认允许向外部提供商发送股票代码。
资料发布于 2026-10-27
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 3,900 | — | 1 |
| 2026-08 | 3,680 | +9.2% | 1 |
| 2026-07 | 3,371 | +14.6% | 1 |
| 2026-06 | 2,942 | +9.4% | 1 |
| 2026-05 | 2,689 | — | 1 |
| 2026-03 | 1,461 | — | - |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
--- name: allstock-data description: Stock market data query skill for China A-shares, Hong Kong, and US markets. Uses Tencent Finance HTTP API by default (lightweight, no install needed), with optional adata SDK for more comprehensive data. Supports real-time quotes, K-line history, order book analysis, and more. --- # Stock Data Query Two data sources are supported. **Tencent Finance HTTP API is used by default:** 1. **Tencent Finance HTTP API (Default)** — Lightweight, no installation, no proxy required
2. **adata SDK (Optional)** — More comprehensive data, requires installation and possibly a proxy
---
## 1. Tencent Finance HTTP API (Default)
### 1.1 China A-Share Real-Time Quotes
**Endpoint:**
```
http://qt.gtimg.cn/q=<stock_code>
```
**Stock Code Format:**
| Market | Code Prefix | Example |
|--------|-------------|---------|
| Shanghai Main Board | sh600xxx | sh600519 (Moutai) |
| STAR Market | sh688xxx | sh688111 |
| Shenzhen Main Board | sz000xxx | sz000001 (Ping An Bank) |
| ChiNext (GEM) | sz300xxx | sz300033 |
| ETF | sz159xxx | sz159919 |
**Index Codes:**
| Index | Code |
|-------|------|
| SSE Composite (Shanghai) | sh000001 |
| SZSE Component (Shenzhen) | sz399001 |
| ChiNext Index | sz399006 |
| STAR 50 | sz399987 |
| CSI 300 | sh000300 |
**Examples:**
```bash
# Single stock
curl -s "http://qt.gtimg.cn/q=sh600519"
# Multiple stocks
curl -s "http://qt.gtimg.cn/q=sh600519,sh000001,sz399001"
```
**Response Fields:**
```
v_sh600519="1~贵州茅台~600519~1460.00~1466.21~1466.99~14146~6374~7772~..."
~ Name ~ Code ~ Open ~ High ~ Low ~ Volume
```
| Index | Field |
|-------|-------|
| 0 | Market code |
| 1 | Stock name |
| 2 | Stock code |
| 3 | Current price |
| 4 | Open price |
| 5 | Low price |
| 6 | High price |
| 30 | Price change |
| 31 | Change % |
---
### 1.2 Hong Kong Stock Real-Time Quotes
**Endpoint:**
```
http://qt.gtimg.cn/q=hk<stock_code>
```
**Examples:**
```bash
# Tencent Holdings
curl -s "http://qt.gtimg.cn/q=hk00700"
# Alibaba
curl -s "http://qt.gtimg.cn/q=hk09988"
```
---
### 1.3 US Stock Real-Time Quotes
**Endpoint:**
```
http://qt.gtimg.cn/q=us<ticker>
```
**Examples:**
```bash
# Apple
curl -s "http://qt.gtimg.cn/q=usAAPL"
# Tesla
curl -s "http://qt.gtimg.cn/q=usTSLA"
# NVIDIA
curl -s "http://qt.gtimg.cn/q=usNVDA"
```
---
### 1.4 K-Line Historical Data
**Endpoint:**
```
https://web.ifzq.gtimg.cn/appstock/app/fqkline/get
```
**Parameters:**
| Parameter | Description |
|-----------|-------------|
| `_var` | Variable name, e.g. `kline_dayqfq` |
| `param` | stock_code, kline_type, start_date, end_date, count, adjust_type |
**K-Line Types:** `day` / `week` / `month`
**Adjustment Types:** `qfqa` (forward-adjusted) / `qfq` (backward-adjusted) / empty (unadjusted)
**Examples:**
```bash
# Moutai daily K-line (last 10 days, forward-adjusted)
curl -s "https://web.ifzq.gtimg.cn/appstock/app/fqkline/get?_var=kline_dayqfq¶m=sh600519,day,,,10,qfqa"
# Ping An Bank weekly K-line (last 5 weeks)
curl -s "https://web.ifzq.gtimg.cn/appstock/app/fqkline/get?_var=kline_weekqfq¶m=sz000001,week,,,5,qfqa"
# ChiNext Index monthly K-line (last 3 months)
curl -s "https://web.ifzq.gtimg.cn/appstock/app/fqkline/get?_var=kline_monthqfq¶m=sz399006,month,,,3,qfqa"
```
**Response Format:**
```json
{"day": [["2026-02-27", "1466.99", "1461.19", "1476.21", "1456.01", "13534"], ...]}
Date Open Close High Low Volume
```
---
### 1.5 Order Book Analysis
**Endpoint:**
```
http://qt.gtimg.cn/q=s_pk<stock_code>
```
**Example:**
```bash
curl -s "http://qt.gtimg.cn/q=s_pksh600519"
```
**Returns:** Buy/sell volume ratios (internal vs external trades)
---
## 2. adata SDK (Optional)
adata is an open-source A-share quantitative data library providing more comprehensive data. Requires installation and possibly a proxy.
### Installation
```bash
pip install adata
```
### Proxy Setup (if needed)
```python
import adata
adata.proxy(is_proxy=True, ip='your-proxy-ip:port')
```
### Feature List
| Feature | Description |
|---------|-------------|
| Stock Basic Info | All A-share codes, share capital, SW industry classification |
| K-Line Data | Daily/Weekly/Monthly, forward/backward adjustment |
| Real-Time Quotes | Batch real-time pricing |
| Level-2 Order Book | Bid/ask depth data |
| Capital Flow | Individual stock capital flow analysis |
| Concept Sectors | Thematic sector data |
| Index Data | Major index quotes |
| ETF | ETF quotes |
### Usage Examples
```python
import adata
# Get all A-share stock codes
df = adata.stock.info.all_code()
# Get K-line data
df = adata.stock.market.get_market(
stock_code='000001',
k_type=1, # 1=daily, 2=weekly, 3=monthly
start_date='2024-01-01',
adjust_type=1 # 0=unadjusted, 1=forward, 2=backward
)
# Real-time quotes
df = adata.stock.market.list_market_current(
code_list=['000001', '600519']
)
```
---
## 3. Use Case Guide
| Scenario | Recommended Source |
|----------|--------------------|
| Quick single stock price check | Tencent Finance API |
| K-line historical data | Tencent Finance API |
| Batch quote queries | Tencent Finance API |
| Capital flow data | adata SDK |
| Full financial statements | adata SDK |
| Concept/sector analysis | adata SDK |
| Level-2 order book | Tencent Finance API or adata SDK |
---
## 4. Important Notes
1. **Encoding**: Tencent Finance API returns GBK-encoded text — decode accordingly
2. **Change %**: Use the API's built-in field (index 31) — do not calculate manually
3. **Data Delay**: Real-time data may have up to 15-minute delay
4. **Request Rate**: Avoid high-frequency requests — use batch queries when possible
5. **Error Handling**: Invalid stock codes return `v_pv_none_match="1"`
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数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。