免费的股票实盘交易接口_akshare找到数据

行业交易

import akshare as ak
# 检查当年当月各行业的交易情况。一般来说，当年没有结束时，不能选择当年，只能选择当月
stock_szse_sector_summary_df = ak.stock_szse_sector_summary(symbol="当月", date="202302")
print(stock_szse_sector_summary_df)

import akshare as ak
# 区域交易排名
stock_szse_area_summary_df = ak.stock_szse_area_summary(date="202203")
print(stock_szse_area_summary_df)

akshare找到数据

不知道为什么运行drop_duplicateds会报错，说不懂mutable

# 通过ak.fund_etf_category_sina()接口获取ETF列表，代码如下：
# 获取etf的历史数据
import pandas as pd
import akshare as ak
code = pd.read_csv("\.sina_etf_list.csv")
code = code[“代码”].values.tolist()
lst = []
for etf_code in code:
    df = ak.fund_etf_hist_sina(symbol=etf_code)
    df["code"] = etf_code
    df["date"]=pd.to_datetime(df["date"])
    df.set_index("date",inplace=True)
    df = df.loc["2022/01/01" : "2023/03/13"]
    lst.append(df)
final_data = pd.DataFrame(lst)
# final_data.drop_duplicates()
final_data.to_csv("\etf-data.csv",encoding = "utf-8")
print("finished")

市场全貌

import akshare as ak
# 上证全貌
stock_sse_summary_df = ak.stock_sse_summary()
# 深证原貌
stock_szse_summary_df = ak.stock_szse_summary(date="20200619")
print(上证:"
print(stock_sse_summary_df)
print(“深证：”
print(stock_szse_summary_df)

import akshare as ak
# 检查股票的基本概况
stock_inpidual_info_em_df = ak.stock_inpidual_info_em(symbol="000001")
print(stock_inpidual_info_em_df)

文章为作者独立观点，不代表股票交易接口观点