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akshare-stock

A股量化数据分析工具,基于AkShare库获取A股行情、财务数据、板块信息等。用于回答关于A股股票查询、行情数据、财务分析、选股等问题。

v1.0.1
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Description


name: akshare-stock description: A股量化数据分析工具,基于AkShare库获取A股行情、财务数据、板块信息等。用于回答关于A股股票查询、行情数据、财务分析、选股等问题。

A股量化 - AkShare 数据接口

快速开始

安装依赖:

pip install akshare

支持的功能

1. 实时行情查询

import akshare as ak

# 个股实时行情
stock_zh_a_spot_em()
stock_zh_a_spot_em(symbol="北证A股")

2. 历史K线数据

import akshare as ak

# 日K线
stock_zh_a_hist(symbol="000001", period="daily", start_date="20240101", end_date="20241231", adjust="qfq")

# 周K线
stock_zh_a_hist(symbol="000001", period="weekly", start_date="20240101", end_date="20241231", adjust="qfq")

# 月K线
stock_zh_a_hist(symbol="000001", period="monthly", start_date="20240101", end_date="20241231", adjust="qfq")

3. 财务数据

import akshare as ak

# 财务报表
stock_financial_abstract_ths(symbol="000001", indicator="按报告期")

# 主要财务指标
stock_financial_analysis_indicator(symbol="000001")

4. 板块/行业分析

import akshare as ak

# 行业板块行情
stock_board_industry_name_em()

# 概念板块行情
stock_board_concept_name_em()

# 板块内个股
stock_board_industry_cons_em(symbol="半导体")

5. 资金流向

import akshare as ak

# 个股资金流向
stock_individual_fund_flow(stock="000001", market="sh")

# 大单净流入
stock_individual_fund_flow(stock="000001", market="sh", symbol="大单净流入")

6. 龙虎榜

import akshare as ak

# 每日龙虎榜
stock_lhb_detail_em(date="20240930")

# 机构调研
stock_zlzj_em()

7. 新股/IPO

import akshare as ak

# 新股申购
stock_new_ipo_em()

# 待上市新股
stock_new_ipo_start_em()

8. 融资融券

import akshare as ak

# 融资融券
stock_margin_sse(symbol="600000")

# 融资融券明细
stock_rzrq_detail_em(symbol="600000", date="20240930")

常用股票代码

  • 平安银行: 000001
  • 贵州茅台: 600519
  • 宁德时代: 300750
  • 比亚迪: 002594
  • 招商银行: 600036

备选方案: Baostock

如果 AkShare 安装失败,可使用 baostock(更轻量):

import baostock as bs

# 登录
lg = bs.login()
print(lg.error_msg)

# 获取历史K线
rs = bs.query_history_k_data_plus('sh.600519',
    'date,code,open,high,low,close,volume',
    start_date='20250101',
    end_date='20251231')

data_list = []
while rs.next:
    data_list.append(rs.get_row_data())
    
bs.logout()

注意事项

  1. 数据仅供学术研究,不构成投资建议
  2. 接口可能因目标网站变动而失效
  3. 建议添加异常处理和重试机制
  4. 当前环境网络问题可能导致测试失败,请在本地环境测试

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Compatible Platforms

Pricing

Free

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