Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
Akshare Finance
AKShare财经数据接口库封装，提供股票、期货、期权、基金、外汇、债券、指数、加密货币等金融产品的基本面数据、实时和历史行情数据、衍生数据。
skill openclawclawhub Free
AKShare财经数据接口库封装，提供股票、期货、期权、基金、外汇、债券、指数、加密货币等金融产品的基本面数据、实时和历史行情数据、衍生数据。
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/README.md, scripts/crypto_price.py, scripts/macro_data.py, scripts/stock_price.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- BenAngel65
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
快速开始
# 安装依赖 pip install akshare pandas # 测试安装 python -c "import akshare; print(akshare.__version__)"
1. 股票行情
import akshare as ak # A股实时行情 stock_zh_a_spot_em() # 东方财富A股 # 股票K线数据 stock_zh_kline(symbol="000001", period="daily", adjust="qfq") # 港股行情 stock_hk_spot_em() # 港股实时 # 美股 stock_us_spot() # 美股实时
2. 宏观经济
# GDP数据 macro_china_gdp() # 中国GDP # CPI通胀 macro_china_cpi() # 中国CPI # PMI采购经理指数 macro_china_pmi() # 中国PMI # 货币供应量 macro_china_m2() # M2广义货币
3. 加密货币
# 币种列表 crypto_binance_symbols() # 币安交易对 # 实时价格 crypto_binance_btc_usdt_spot() # BTC/USDT # K线数据 crypto_binance_btc_usdt_kline(period="daily")
4. 外汇贵金属
# 外汇汇率 forex_usd_cny() # 美元兑人民币 # 贵金属 metals_shibor() # 上海银行间拆借利率 # 金银价格 metals_gold() # 国际金价
5. 财务数据
# 股票基本面 stock_fundamental(symbol="000001") # 基本面数据 # 估值指标 stock_valuation(symbol="000001") # PE、PB等 # 盈利能力 stock_profit_em(symbol="000001")
投资组合监控
import akshare as ak import pandas as pd # 监控自选股 tickers = ["000001", "000002", "600519"] for ticker in tickers: df = ak.stock_zh_kline(symbol=ticker, period="daily", adjust="qfq", start_date="20240101") latest = df.iloc[-1] print(f"{ticker}: 收盘价={latest['close']}, 涨跌幅={latest['pct_chg']}%")
市场概览
# A股大盘 index_zh_a_spot() # 大盘指数 # 涨跌幅排行 stock_zh_a_spot_em()[['代码', '名称', '涨跌幅']].sort_values('涨跌幅', ascending=False)
注意事项
数据来源: 公开财经网站，仅用于学术研究 商业风险: 投资有风险，决策需谨慎 更新频率: 实时数据可能有延迟 数据验证: 建议多数据源交叉验证
输出格式
默认返回Pandas DataFrame，可直接处理： df = ak.stock_zh_a_spot_em() print(df.head()) # 查看前5行 print(df.columns) # 查看列名 df.to_csv("data.csv") # 保存CSV
参考文档
AKShare文档: https://akshare.akfamily.xyz/ GitHub: https://github.com/akfamily/akshare
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Scripts2 Docs
- SKILL.md
- references/README.md
- scripts/crypto_price.py
- scripts/macro_data.py
- scripts/stock_price.py