Skill: kenswj/akshare-stock-1-0-1 (version 1.0.0)

--- 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： ```bash pip install akshare ``` ## 支持的功能 ### 1. 实时行情查询 ```python 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 ```python 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 ```python 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 ```python 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 ```python 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 ```python 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 ```python 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 ```python 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）: ```python 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**

path: _meta.json
content: ownerId: kn7cv6afang2nh65cp9nasa5f9823tqc
slug: akshare-stock
version: 1.0.1
publishedAt: 1772461532238

path: scripts/stock_cli.py
content: #!/usr/bin/env python3
"""
A股量化工具脚本 - 基于AkShare
"""
import argparse
import json
import sys
from datetime import datetime, timedelta

try:
    import akshare as ak
except ImportError:
    print("请先安装: pip install akshare")
    sys.exit(1)


def get_realtime_quotes(symbols=None):
    """实时行情"""
    df = ak.stock_zh_a_spot_em()
    if symbols:
        df = df[df['代码'].isin(symbols)]
    return df.to_dict(orient='records')


def get_historical_kline(symbol, period='daily', days=30):
    """历史K线"""
    end_date = datetime.now().strftime('%Y%m%d')
    start_date = (datetime.now() - timedelta(days=days)).strftime('%Y%m%d')
    
    df = ak.stock_zh_a_hist(
        symbol=symbol,
        period=period,
        start_date=start_date,
        end_date=end_date,
        adjust="qfq"
    )
    return df.to_dict(orient='records')


def get_board_industry():
    """行业板块"""
    df = ak.stock_board_industry_name_em()
    return df.head(20).to_dict(orient='records')


def get_board_concept():
    """概念板块"""
    df = ak.stock_board_concept_name_em()
    return df.head(20).to_dict(orient='records')


def get_fund_flow(stock):
    """资金流向"""
    df = stock_individual_fund_flow(stock=stock, market="sh")
    return df.to_dict(orient='records')


def search_stock(keyword):
    """搜索股票"""
    df = ak.stock_zh_a_spot_em()
    # 模糊匹配代码或名称
    result = df[df['代码'].str.contains(keyword) | df['名称'].str.contains(keyword)]
    return result.head(10).to_dict(orient='records')


def main():
    parser = argparse.ArgumentParser(description='A股量化工具')
    parser.add_argument('action', choices=['quote', 'kline', 'industry', 'concept', 'flow', 'search'],
                        help='操作类型')
    parser.add_argument('--symbol', help='股票代码')
    parser.add_argument('--period', default='daily', choices=['daily', 'weekly', 'monthly'])
    parser.add_argument('--days', type=int, default=30)
    parser.add_argument('--keyword', help='搜索关键词')
    
    args = parser.parse_args()
    
    try:
        if args.action == 'quote':
            data = get_realtime_quotes()
            print(json.dumps(data[:5], ensure_ascii=False, indent=2))
            
        elif args.action == 'kline':
            if not args.symbol:
                print("错误: 需要 --symbol 参数")
                sys.exit(1)
            data = get_historical_kline(args.symbol, args.period, args.days)
            print(json.dumps(data, ensure_ascii=False, indent=2))
            
        elif args.action == 'industry':
            data = get_board_industry()
            print(json.dumps(data, ensure_ascii=False, indent=2))
            
        elif args.action == 'concept':
            data = get_board_concept()
            print(json.dumps(data, ensure_ascii=False, indent=2))
            
        elif args.action == 'flow':
            if not args.symbol:
                print("错误: 需要 --symbol 参数")
                sys.exit(1)
            data = get_fund_flow(args.symbol)
            print(json.dumps(data, ensure_ascii=False, indent=2))
            
        elif args.action == 'search':
            if not args.keyword:
                print("错误: 需要 --keyword 参数")
                sys.exit(1)
            data = search_stock(args.keyword)
            print(json.dumps(data, ensure_ascii=False, indent=2))
            
    except Exception as e:
        print(f"错误: {e}")
        sys.exit(1)


if __name__ == '__main__':
    main()


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)