OpenClaw

yahooquery

Access Yahoo Finance data including real-time pricing, fundamentals, analyst estimates, options, news, and historical data via the yahooquery Python library.

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查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install 512z/yahooquery

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

yahooquery Skill

Comprehensive access to Yahoo Finance data via the yahooquery Python library. This library provides programmatic access to nearly all Yahoo Finance endpoints, including real-time pricing, fundamentals, analyst estimates, options, news, and premium research.

Core Classes

1. Ticker (Company-Specific Data)

The primary interface for retrieving data about one or more securities.

from yahooquery import Ticker

# Single or multiple symbols
aapl = Ticker('AAPL')
tickers = Ticker('AAPL MSFT NVDA', asynchronous=True)

2. Screener (Predefined Stock Lists)

Access to pre-built screeners for discovering stocks by criteria.

from yahooquery import Screener

s = Screener()
screeners = s.available_screeners  # List all available screeners
data = s.get_screeners(['day_gainers', 'most_actives'], count=10)

3. Research (Premium Subscription Required)

Access proprietary research reports and trade ideas.

from yahooquery import Research

r = Research(username='you@email.com', password='password')
reports = r.reports(report_type='Analyst Report', report_date='Last Week')
trades = r.trades(trend='Bullish', term='Short term')

Ticker Class: Data Modules

The Ticker class exposes dozens of data endpoints via properties and methods.

📊 Financial Statements

.income_statement(frequency='a', trailing=True) - Income statement (annual/quarterly)
.balance_sheet(frequency='a', trailing=True) - Balance sheet
.cash_flow(frequency='a', trailing=True) - Cash flow statement
.all_financial_data(frequency='a') - Combined financials + valuation measures
.valuation_measures - EV/EBITDA, P/E, P/B, P/S across periods

📈 Pricing & Market Data

.price - Current pricing, market cap, 52-week range
.history(period='1y', interval='1d', start=None, end=None) - Historical OHLC
- period: 1d, 5d, 1mo, 3mo, 6mo, 1y, 2y, 5y, 10y, ytd, max
- **int...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/512z/yahooquery
Version: —
Commit: 896491d1a63e64de2fbb194624a50c1cefe96659
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# yahooquery Skill

Comprehensive access to Yahoo Finance data via the `yahooquery` Python library. This library provides programmatic access to nearly all Yahoo Finance endpoints, including real-time pricing, fundamentals, analyst estimates, options, news, and premium research.

## Core Classes

### 1. **Ticker** (Company-Specific Data)
The primary interface for retrieving data about one or more securities.

```python
from yahooquery import Ticker

# Single or multiple symbols
aapl = Ticker('AAPL')
tickers = Ticker('AAPL MSFT NVDA', asynchronous=True)
```

### 2. **Screener** (Predefined Stock Lists)
Access to pre-built screeners for discovering stocks by criteria.

```python
from yahooquery import Screener

s = Screener()
screeners = s.available_screeners  # List all available screeners
data = s.get_screeners(['day_gainers', 'most_actives'], count=10)
```

### 3. **Research** (Premium Subscription Required)
Access proprietary research reports and trade ideas.

```python
from yahooquery import Research

r = Research(username='you@email.com', password='password')
reports = r.reports(report_type='Analyst Report', report_date='Last Week')
trades = r.trades(trend='Bullish', term='Short term')
```

---

## Ticker Class: Data Modules

The `Ticker` class exposes dozens of data endpoints via properties and methods.

### 📊 **Financial Statements**
- `.income_statement(frequency='a', trailing=True)` - Income statement (annual/quarterly)
- `.balance_sheet(frequency='a', trailing=True)` - Balance sheet
- `.cash_flow(frequency='a', trailing=True)` - Cash flow statement
- `.all_financial_data(frequency='a')` - Combined financials + valuation measures
- `.valuation_measures` - EV/EBITDA, P/E, P/B, P/S across periods

### 📈 **Pricing & Market Data**
- `.price` - Current pricing, market cap, 52-week range
- `.history(period='1y', interval='1d', start=None, end=None)` - Historical OHLC
  - **period**: `1d`, `5d`, `1mo`, `3mo`, `6mo`, `1y`, `2y`, `5y`, `10y`, `ytd`, `max`
  - **int...

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