真气网-空气质量历史数据查询-全部城市列表 https://www.zq12369.com/environment.php?date=2019-06-05&tab=rank&order=DESC&type=DAY#rank :return: 城市映射 :rtype: pandas.DataFrame

河北省空气质量预报信息发布系统-空气质量预报, 未来 6 天 http://218.11.10.130:8080/#/application/home :return: city = "", 返回所有地区的数据; city="唐山市", 返回唐山市的数据 :rtype: pandas.DataFrame

真气网-空气历史数据 https://www.zq12369.com/ :param city: 调用 ak.air_city_table() 接口获取所有城市列表 :type city: str :param period: "hour": 每小时一个数据, 由于数据量比较大, 下载较慢; "day": 每天一个数据; "month": 每个月一个数据 :type period: str :param start_date: e.g., "20190327" :type start_date: str :param end_date: e.g., "20200327" :type end_date: str :return: 指定城市和数据频率下在指定时间段内的空气质量数据 :rtype: pandas.DataFrame

真气网-168 城市 AQI 排行榜 https://www.zq12369.com/environment.php?date=2020-03-12&tab=rank&order=DESC&type=DAY#rank :param date: "": 当前时刻空气质量排名; "20200312": 当日空气质量排名; "202003": 当月空气质量排名; "2019": 当年空气质量排名; :type date: str :return: 指定 date 类型的空气质量排名数据 :rtype: pandas.DataFrame

真气网-监测点空气质量-细化到具体城市的每个监测点 指定之间段之间的空气质量数据 https://www.zq12369.com/ :param city: 调用 ak.air_city_table() 接口获取 :type city: str :param start_date: e.g., "20190327" :type start_date: str :param end_date: e.g., ""20200327"" :type end_date: str :return: 指定城市指定日期区间的观测点空气质量 :rtype: pandas.DataFrame

中国证券投资基金业协会-信息公示-基金产品公示-证券公司直投基金 https://gs.amac.org.cn/amac-infodisc/res/aoin/product/index.html :return: 证券公司直投基金 :rtype: pandas.DataFrame

中国证券投资基金业协会-信息公示-基金产品公示-资产支持专项计划公示信息 https://gs.amac.org.cn/amac-infodisc/res/fund/abs/index.html :return: 资产支持专项计划公示信息 :rtype: pandas.DataFrame

中国证券投资基金业协会-信息公示-基金产品公示-基金公司及子公司集合资管产品公示 https://gs.amac.org.cn/amac-infodisc/res/fund/account/index.html :return: 基金公司及子公司集合资管产品公示 :rtype: pandas.DataFrame

中国证券投资基金业协会-信息公示-基金产品-私募基金管理人基金产品 https://gs.amac.org.cn/amac-infodisc/res/pof/fund/index.html :param start_page: 开始页码, 获取指定页码直接的数据 :type start_page: str :param end_page: 结束页码, 获取指定页码直接的数据 :type end_page: str :return: 私募基金管理人基金产品 :rtype: pandas.DataFrame

中国证券投资基金业协会-信息公示-基金产品公示-证券公司私募投资基金 https://gs.amac.org.cn/amac-infodisc/res/pof/subfund/index.html :return: 证券公司私募投资基金 :rtype: pandas.DataFrame

中国证券投资基金业协会-信息公示-基金产品公示-期货公司集合资管产品公示 https://gs.amac.org.cn/amac-infodisc/res/pof/futures/index.html :return: 期货公司集合资管产品公示 :rtype: pandas.DataFrame

中国证券投资基金业协会-信息公示-诚信信息公示-已注销私募基金管理人名单 https://gs.amac.org.cn/amac-infodisc/res/cancelled/manager/index.html 主动注销: 100 依公告注销: 200 协会注销: 300 :return: 已注销私募基金管理人名单 :rtype: pandas.DataFrame

中国证券投资基金业协会-信息公示-私募基金管理人公示-私募基金管理人分类公示 https://gs.amac.org.cn/amac-infodisc/res/pof/manager/managerList.html :return: 私募基金管理人分类公示 :rtype: pandas.DataFrame

中国证券投资基金业协会-信息公示-私募基金管理人公示-私募基金管理人综合查询 https://gs.amac.org.cn/amac-infodisc/res/pof/manager/index.html :return: 私募基金管理人综合查询 :rtype: pandas.DataFrame

中国证券投资基金业协会-信息公示-会员信息-会员机构综合查询 https://gs.amac.org.cn/amac-infodisc/res/pof/member/index.html :return: 会员机构综合查询 :rtype: pandas.DataFrame

中国证券投资基金业协会-信息公示-私募基金管理人公示-证券公司私募基金子公司管理人信息公示 https://gs.amac.org.cn/amac-infodisc/res/pof/member/index.html?primaryInvestType=private :return: 证券公司私募基金子公司管理人信息公示 :rtype: pandas.DataFrame

中国证券投资基金业协会-信息公示-从业人员信息-债券投资交易相关人员公示 https://human.amac.org.cn/web/org/personPublicity.html :return: 债券投资交易相关人员公示 :rtype: pandas.DataFrame

中国证券投资基金业协会-信息公示-从业人员信息-基金从业人员资格注册信息 https://gs.amac.org.cn/amac-infodisc/res/pof/person/personOrgList.html :param symbol: choice of {"公募基金管理公司", "公募基金管理公司资管子公司", "商业银行", "证券公司", "证券公司子公司", "私募基金管理人", "保险公司子公司", "保险公司", "外包服务机构", "期货公司", "期货公司资管子公司", "媒体机构", "证券投资咨询机构", "评价机构", "外资私募证券基金管理人", "支付结算", "独立服务机构", "地方自律组织", "境外机构", "律师事务所", "会计师事务所", "交易所", "独立第三方销售机构", "证券公司资管子公司", "证券公司私募基金子公司", "其他"} :type symbol: str :return: 基金从业人员资格注册信息 :rtype: pandas.DataFrame

中国证券投资基金业协会-信息公示-基金产品公示-证券公司集合资管产品公示 https://gs.amac.org.cn/amac-infodisc/res/pof/securities/index.html :return: 证券公司集合资管产品公示 :rtype: pandas.DataFrame

经济政策不确定性指数 https://www.policyuncertainty.com/index.html :param symbol: 指定的国家名称, e.g. “China” :type symbol: str :return: 经济政策不确定性指数数据 :rtype: pandas.DataFrame

FF多因子模型 https://mba.tuck.dartmouth.edu/pages/faculty/ken.french/data_library.html :return: FF多因子模型单一表格 :rtype: pandas.DataFrame

Oxford-Man Institute of Quantitative Finance Realized Library 的数据 :param symbol: str ['AEX', 'AORD', 'BFX', 'BSESN', 'BVLG', 'BVSP', 'DJI', 'FCHI', 'FTMIB', 'FTSE', 'GDAXI', 'GSPTSE', 'HSI', 'IBEX', 'IXIC', 'KS11', 'KSE', 'MXX', 'N225', 'NSEI', 'OMXC20', 'OMXHPI', 'OMXSPI', 'OSEAX', 'RUT', 'SMSI', 'SPX', 'SSEC', 'SSMI', 'STI', 'STOXX50E'] :param index: str 指标 ['medrv', 'rk_twoscale', 'bv', 'rv10', 'rv5', 'rk_th2', 'rv10_ss', 'rsv', 'rv5_ss', 'bv_ss', 'rk_parzen', 'rsv_ss'] :return: pandas.DataFrame

The Oxford-Man Institute's "realised library" contains daily non-parametric measures of how volatility financial assets or indexes were in the past. Each day's volatility measure depends solely on financial data from that day. They are driven by the use of the latest innovations in econometric modelling and theory to design them, while we draw our high frequency data from the Thomson Reuters DataScope Tick History database. Realised measures are not volatility forecasts. However, some researchers use these measures as an input into forecasting models. The aim of this line of research is to make financial markets more transparent by exposing how volatility changes through time.

This Library is used as the basis of some of our own research, which effects its scope, and is made available here to encourage the more widespread exploitation of these methods. It is given 'as is' and solely for informational purposes, please read the disclaimer.

The volatility data can be visually explored. We make the complete up-to-date dataset available for download. Lists of assets covered and realized measures available are also available.

Oxford-Man Institute of Quantitative Finance Realized Library 的数据 :param symbol: str FTSE: FTSE 100, GDAXI: DAX, RUT: Russel 2000, SPX: S&P 500 Index, STOXX50E: EURO STOXX 50, SSEC: Shanghai Composite Index, N225: Nikkei 225 :return: pandas.DataFrame

The Oxford-Man Institute's "realised library" contains daily non-parametric measures of how volatility financial assets or indexes were in the past. Each day's volatility measure depends solely on financial data from that day. They are driven by the use of the latest innovations in econometric modelling and theory to design them, while we draw our high frequency data from the Thomson Reuters DataScope Tick History database. Realised measures are not volatility forecasts. However, some researchers use these measures as an input into forecasting models. The aim of this line of research is to make financial markets more transparent by exposing how volatility changes through time.

This Library is used as the basis of some of our own research, which effects its scope, and is made available here to encourage the more widespread exploitation of these methods. It is given 'as is' and solely for informational purposes, please read the disclaimer.

The volatility data can be visually explored. We make the complete up-to-date dataset available for download. Lists of assets covered and realized measures available are also available.

修大成主页-Risk Lab-Realized Volatility :param symbol: str 股票代码 :return: pandas.DataFrame 1996-01-02 0.000000 1996-01-04 0.000000 1996-01-05 0.000000 1996-01-09 0.000000 1996-01-10 0.000000 ... 2019-11-04 0.175107 2019-11-05 0.185112 2019-11-06 0.210373 2019-11-07 0.240808 2019-11-08 0.199549 Name: RV, Length: 5810, dtype: float64

Website https://dachxiu.chicagobooth.edu/

Objective We provide up-to-date daily annualized realized volatilities for individual stocks, ETFs, and future contracts, which are estimated from high-frequency data. We are in the process of incorporating equities from global markets.

Data We collect trades at their highest frequencies available (up to every millisecond for US equities after 2007), and clean them using the prevalent national best bid and offer (NBBO) that are available up to every second. The mid-quotes are calculated based on the NBBOs, so their highest sampling frequencies are also up to every second.

Methodology We provide quasi-maximum likelihood estimates of volatility (QMLE) based on moving-average models MA(q), using non-zero returns of transaction prices (or mid-quotes if available) sampled up to their highest frequency available, for days with at least 12 observations. We select the best model (q) using Akaike Information Criterion (AIC). For comparison, we report realized volatility (RV) estimates using 5-minute and 15-minute subsampled returns.

References

1. “When Moving-Average Models Meet High-Frequency Data: Uniform Inference on Volatility”, by Rui Da and Dacheng Xiu. 2017.

2. “Quasi-Maximum Likelihood Estimation of Volatility with High Frequency Data”, by Dacheng Xiu. Journal of Econometrics, 159 (2010), 235-250.

3. “How Often to Sample A Continuous-time Process in the Presence of Market Microstructure Noise”, by Yacine Aït-Sahalia, Per Mykland, and Lan Zhang. Review of Financial Studies, 18 (2005), 351–416.

4. “The Distribution of Exchange Rate Volatility”, by Torben Andersen, Tim Bollerslev, Francis X. Diebold, and Paul Labys. Journal of the American Statistical Association, 96 (2001), 42-55.

5. “Econometric Analysis of Realized Volatility and Its Use in Estimating Stochastic Volatility Models”, by Ole E Barndorff‐Nielsen and Neil Shephard. Journal of the Royal Statistical Society: Series B, 64 (2002), 253-280.

获取 首页-政务信息-行政处罚-银保监分局本级-XXXX行政处罚信息公开表 数据 :param page: 需要获取前 page 页的内容, 总页数请通过 ak.bank_fjcf_total_page() 获取 :type page: int :param item: choice of {"机关", "本级", "分局本级"} :type item: str :param begin: 开始页面 :type begin: int :return: 返回所有行政处罚信息公开表的集合, 按第一页到最后一页的顺序排列 :rtype: pandas.DataFrame

中国债券信息网-中债指数-中债指数族系 当中， 非指定期限部分 https://yield.chinabond.com.cn/cbweb-mn/indices/singleIndexQueryResult :return: 可选项列表 :rtype: list

东方财富网-行情中心-债券市场-质押式回购-历史数据 https://quote.eastmoney.com/center/gridlist.html#bond_sh_buyback :param symbol: 质押式回购代码 :type symbol: str :return: 历史数据 :rtype: pandas.DataFrame

上登债券信息网-市场数据-市场统计-市场概览-债券现券市场概览 http://bond.sse.com.cn/data/statistics/overview/bondow/ :param date: 指定日期 :type date: str :return: 债券成交概览 :rtype: pandas.DataFrame

集思录-可转债转股价-调整记录 https://www.jisilu.cn/data/cbnew/#cb :param symbol: 可转债代码 :type symbol: str :return: 转股价调整记录 :rtype: pandas.DataFrame

首页-可转债-集思录可转债等权指数 https://www.jisilu.cn/web/data/cb/index :return: 集思录可转债等权指数 :rtype: pandas.DataFrame

集思录可转债 https://www.jisilu.cn/data/cbnew/#cb :param cookie: 输入获取到的游览器 cookie :type cookie: str :return: 集思录可转债 :rtype: pandas.DataFrame

新浪财经-债券-可转债-详情资料 https://money.finance.sina.com.cn/bond/info/sz128039.html :param symbol: 带市场标识的转债代码 :type symbol: str :return: 可转债-详情资料 :rtype: pandas.DataFrame

集思录可转债-强赎 https://www.jisilu.cn/data/cbnew/#redeem :return: 集思录可转债-强赎 :rtype: pandas.DataFrame

新浪财经-债券-可转债-债券概况 https://money.finance.sina.com.cn/bond/quotes/sh155255.html :param symbol: 带市场标识的转债代码 :type symbol: str :return: 可转债-债券概况 :rtype: pandas.DataFrame

收盘收益率曲线历史数据 https://www.chinamoney.com.cn/chinese/bkcurvclosedyhis/?bondType=CYCC000&reference=1 :param symbol: 需要获取的指标 :type period: choice of {'0.1', '0.5', '1'} :param period: 期限间隔 :type symbol: str :param start_date: 开始日期, 结束日期和开始日期不要超过 1 个月 :type start_date: str :param end_date: 结束日期, 结束日期和开始日期不要超过 1 个月 :type end_date: str :return: 收盘收益率曲线历史数据 :rtype: pandas.DataFrame

收盘收益率曲线历史数据 https://www.chinamoney.com.cn/chinese/bkcurvclosedyhis/?bondType=CYCC000&reference=1 :return: 收盘收益率曲线历史数据 :rtype: pandas.DataFrame

中国债券信息网-国债及其他债券收益率曲线 https://www.chinabond.com.cn/ https://yield.chinabond.com.cn/cbweb-pbc-web/pbc/historyQuery?startDate=2019-02-07&endDate=2020-02-04&gjqx=0&qxId=ycqx&locale=cn_ZH 注意: end_date - start_date 应该小于一年 :param start_date: 需要查询的日期, 返回在该日期之后一年内的数据 :type start_date: str :param end_date: 需要查询的日期, 返回在该日期之前一年内的数据 :type end_date: str :return: 返回在指定日期之间之前一年内的数据 :rtype: pandas.DataFrame

中国债券信息网-中债指数-中债指数族系-总指数-综合类指数-中债-综合指数 https://yield.chinabond.com.cn/cbweb-mn/indices/single_index_query :param indicator: choice of {"全价", "净价", "财富", "平均市值法久期", "平均现金流法久期", "平均市值法凸性", "平均现金流法凸性", "平均现金流法到期收益率", "平均市值法到期收益率", "平均基点价值", "平均待偿期", "平均派息率", "指数上日总市值", "财富指数涨跌幅", "全价指数涨跌幅", "净价指数涨跌幅", "现券结算量"} :type indicator: str :param period: choice of {"总值", "1年以下", "1-3年", "3-5年", "5-7年", "7-10年", "10年以上", "0-3个月", "3-6个月", "6-9个月", "9-12个月", "0-6个月", "6-12个月"} :type period: str :return: 新综合指数 :rtype: pandas.DataFrame

巨潮资讯-数据中心-专题统计-债券报表-债券发行-企业债发行 http://webapi.cninfo.com.cn/#/thematicStatistics :param start_date: 开始统计时间 :type start_date: str :param end_date: 开始统计时间 :type end_date: str :return: 企业债发行 :rtype: pandas.DataFrame

东方财富网-行情中心-债券市场-可转债比价表 https://quote.eastmoney.com/center/fullscreenlist.html#convertible_comparison :return: 可转债比价表数据 :rtype: pandas.DataFrame

巨潮资讯-数据中心-专题统计-债券报表-债券发行-可转债发行 http://webapi.cninfo.com.cn/#/thematicStatistics :param start_date: 开始统计时间 :type start_date: str :param end_date: 开始统计时间 :type end_date: str :return: 可转债发行 :rtype: pandas.DataFrame

巨潮资讯-数据中心-专题统计-债券报表-债券发行-可转债转股 http://webapi.cninfo.com.cn/#/thematicStatistics :return: 可转债转股 :rtype: pandas.DataFrame

上登债券信息网-市场数据-市场统计-市场概览-债券成交概览 http://bond.sse.com.cn/data/statistics/overview/turnover/ :param date: 指定日期 :type date: str :return: 债券成交概览 :rtype: pandas.DataFrame

中国银行间市场交易商协会-非金融企业债务融资工具注册信息系统 http://zhuce.nafmii.org.cn/fans/publicQuery/manager :param page: 输入数字页码 :type page: int :return: 指定 sector 和 indicator 的数据 :rtype: pandas.DataFrame

新浪财经-债券-美国国债收益率行情数据 https://stock.finance.sina.com.cn/forex/globalbd/cn10yt.html :param symbol: choice of {"美国1月期国债", "美国2月期国债", "美国3月期国债", "美国4月期国债", "美国6月期国债", "美国1年期国债", "美国2年期国债", "美国3年期国债", "美国5年期国债", "美国7年期国债", "美国10年期国债", "美国20年期国债", "美国30年期国债"} :type symbol: str :return: 美国国债收益率行情数据 :rtype: pandas.DataFrame

新浪财经-债券-中国国债收益率行情数据 https://stock.finance.sina.com.cn/forex/globalbd/cn10yt.html :param symbol: choice of {"中国1年期国债", "中国2年期国债", "中国3年期国债", "中国5年期国债", "中国7年期国债", "中国10年期国债", "中国15年期国债", "中国20年期国债", "中国30年期国债"} :type symbol: str :return: 中国国债收益率行情数据 :rtype: pandas.DataFrame

中国债券信息网-中债指数-中债指数族系 https://yield.chinabond.com.cn/cbweb-mn/indices/singleIndexQueryResult :param index_category: see result of available_bond_index() :type index_category: str :param indicator: choice of {"全价", "净价", "财富", "平均市值法久期", "平均现金流法久期", "平均市值法凸性", "平均现金流法凸性", "平均现金流法到期收益率", "平均市值法到期收益率", "平均基点价值", "平均待偿期", "平均派息率", "指数上日总市值", "财富指数涨跌幅", "全价指数涨跌幅", "净价指数涨跌幅", "现券结算量"} :type indicator: str :param period: choice of {"总值", "1年以下", "1-3年", "3-5年", "5-7年", "7-10年", "10年以上", "0-3个月", "3-6个月", "6-9个月", "9-12个月", "0-6个月", "6-12个月"} :type period: str :return: 指定指数的指定指标的指定期限分段数据 :rtype: pandas.DataFrame

中国外汇交易中心暨全国银行间同业拆借中心-数据-债券信息-信息查询 https://www.chinamoney.com.cn/chinese/scsjzqxx/ :param bond_name: 债券名称 :type bond_name: str :param bond_code: 债券代码 :type bond_code: str :param bond_issue: 发行人/受托机构 :type bond_issue: str :param bond_type: 债券类型 :type bond_type: str :param coupon_type: 息票类型 :type coupon_type: str :param issue_year: 发行年份 :type issue_year: str :param underwriter: 主承销商 :type underwriter: str :param grade: 评级等级 :type grade: str :return: 信息查询结果 :rtype: pandas.DataFrame

中国外汇交易中心暨全国银行间同业拆借中心-查询相关指标的参数 https://www.chinamoney.com.cn/chinese/scsjzqxx/ :param symbol: choice of {"主承销商", "债券类型", "息票类型", "发行年份", "评级等级"} :type symbol: str :return: 查询相关指标的参数 :rtype: pandas.DataFrame

中国外汇交易中心暨全国银行间同业拆借中心-数据-债券信息-信息查询-债券详情 https://www.chinamoney.com.cn/chinese/zqjc/?bondDefinedCode=egfjh08154 :param symbol: 债券简称 :type symbol: str :return: 债券详情 :rtype: pandas.DataFrame

巨潮资讯-数据中心-专题统计-债券报表-债券发行-地方债发行 http://webapi.cninfo.com.cn/#/thematicStatistics :param start_date: 开始统计时间 :type start_date: str :param end_date: 开始统计时间 :type end_date: str :return: 地方债发行 :rtype: pandas.DataFrame

中国债券信息网-中债指数-中债指数族系-总指数-综合类指数-中债-新综合指数 https://yield.chinabond.com.cn/cbweb-mn/indices/single_index_query :param indicator: choice of {"全价", "净价", "财富", "平均市值法久期", "平均现金流法久期", "平均市值法凸性", "平均现金流法凸性", "平均现金流法到期收益率", "平均市值法到期收益率", "平均基点价值", "平均待偿期", "平均派息率", "指数上日总市值", "财富指数涨跌幅", "全价指数涨跌幅", "净价指数涨跌幅", "现券结算量"} :type indicator: str :param period: choice of {"总值", "1年以下", "1-3年", "3-5年", "5-7年", "7-10年", "10年以上", "0-3个月", "3-6个月", "6-9个月", "9-12个月", "0-6个月", "6-12个月"} :type period: str :return: 新综合指数 :rtype: pandas.DataFrame

东方财富网-行情中心-债券市场-上证质押式回购 https://quote.eastmoney.com/center/gridlist.html#bond_sh_buyback :return: 上证质押式回购 :rtype: pandas.DataFrame

中国外汇交易中心暨全国银行间同业拆借中心-市场数据-债券市场行情-现券市场成交行情 https://www.chinamoney.com.cn/chinese/mkdatabond/ :return: 现券市场成交行情 :rtype: pandas.DataFrame

中国外汇交易中心暨全国银行间同业拆借中心-市场数据-债券市场行情-现券市场做市报价 https://www.chinamoney.com.cn/chinese/mkdatabond/ :return: 现券市场做市报价 :rtype: pandas.DataFrame

东方财富网-行情中心-债券市场-深证质押式回购 https://quote.eastmoney.com/center/gridlist.html#bond_sz_buyback :return: 深证质押式回购 :rtype: pandas.DataFrame

巨潮资讯-数据中心-专题统计-债券报表-债券发行-国债发行 http://webapi.cninfo.com.cn/#/thematicStatistics :param start_date: 开始统计时间 :type start_date: str :param end_date: 结束统计数据 :type end_date: str :return: 国债发行 :rtype: pandas.DataFrame

中国债券信息网-中债指数-中债指数族系-总指数-综合类指数-中债-国债指数 https://yield.chinabond.com.cn/cbweb-mn/indices/single_index_query :param indicator: choice of {"全价", "净价", "财富"} :type indicator: str :param period: choice of {'0-1Y', '0-3Y', '0-5Y', '0-10Y', '1-3Y', '1-5Y', '1-10Y', '3-5Y', '5Y', '7Y', '7-10Y', '10Y', '30Y'} :type period: str :return: 国债指数 :rtype: pandas.DataFrame

东方财富网-数据中心-新股数据-可转债数据 https://data.eastmoney.com/kzz/default.html :return: 可转债数据 :rtype: pandas.DataFrame

https://data.eastmoney.com/kzz/detail/123121.html 东方财富网-数据中心-新股数据-可转债详情 :param symbol: 可转债代码 :type symbol: str :param indicator: choice of {"基本信息", "中签号", "筹资用途", "重要日期"} :type indicator: str :return: 可转债详情 :rtype: pandas.DataFrame

同花顺-数据中心-可转债 https://data.10jqka.com.cn/ipo/bond/ :return: 可转债行情 :rtype: pandas.DataFrame

https://data.eastmoney.com/kzz/detail/113527.html 东方财富网-数据中心-新股数据-可转债数据-价值分析-溢价率分析 :param symbol: 可转债代码 :type symbol: str :return: 可转债价值分析 :rtype: pandas.DataFrame

新浪财经-债券-沪深可转债的历史行情数据, 大量抓取容易封 IP https://vip.stock.finance.sina.com.cn/mkt/#hskzz_z :param symbol: 沪深可转债代码; e.g., sh010107 :type symbol: str :return: 指定沪深可转债代码的日 K 线数据 :rtype: pandas.DataFrame

东方财富网-可转债-分时行情 https://quote.eastmoney.com/concept/sz128039.html :param symbol: 转债代码 :type symbol: str :param period: choice of {'1', '5', '15', '30', '60'} :type period: str :param adjust: choice of {'', 'qfq', 'hfq'} :type adjust: str :param start_date: 开始日期 :type start_date: str :param end_date: 结束日期 :type end_date: str :return: 分时行情 :rtype: pandas.DataFrame

东方财富网-可转债-分时行情-盘前 https://quote.eastmoney.com/concept/sz128039.html :param symbol: 转债代码 :type symbol: str :return: 分时行情-盘前 :rtype: pandas.DataFrame

新浪财经-债券-沪深可转债的实时行情数据; 大量抓取容易封IP https://vip.stock.finance.sina.com.cn/mkt/#hskzz_z :return: 所有沪深可转债在当前时刻的实时行情数据 :rtype: pandas.DataFrame

新浪财经-债券-沪深债券-历史行情数据, 大量抓取容易封 IP https://vip.stock.finance.sina.com.cn/mkt/#hs_z :param symbol: 沪深债券代码; e.g., sh010107 :type symbol: str :return: 指定沪深债券代码的日 K 线数据 :rtype: pandas.DataFrame

新浪财经-债券-沪深债券-实时行情数据, 大量抓取容易封IP https://vip.stock.finance.sina.com.cn/mkt/#hs_z :param start_page: 分页起始页 :type start_page: str :param end_page: 分页结束页 :type end_page: str :return: 所有沪深债券在当前时刻的实时行情数据 :rtype: pandas.DataFrame

东方财富网-数据中心-经济数据-中美国债收益率 https://data.eastmoney.com/cjsj/zmgzsyl.html :param start_date: 开始统计时间 :type start_date: str :return: 中美国债收益率 :rtype: pandas.DataFrame

艺恩-艺人-艺人商业价值 https://www.endata.com.cn/Marketing/Artist/business.html :return: 艺人商业价值 :rtype: pandas.DataFrame

乘联会-统计数据-车型大类 http://data.cpcadata.com/CategoryMarket :param symbol: choice of {"轿车", "MPV", "SUV", "占比"} :type symbol: str :param indicator: choice of {"批发", "零售"} :type indicator: str :return: 统计数据-车型大类 :rtype: pandas.DataFrame

乘联会-统计数据-国别细分市场 http://data.cpcadata.com/CountryMarket :return: 统计数据-车型大类 :rtype: pandas.DataFrame

乘联会-统计数据-新能源细分市场 :param symbol: choice of {"整体市场", "销量占比-PHEV-BEV", "销量占比-ICE-NEV"} :type symbol: str https://data.cpcadata.com/FuelMarket :return: 新能源细分市场 :rtype: pandas.DataFrame

乘联会-统计数据-厂商排名 http://data.cpcadata.com/ManRank :param symbol: choice of {"狭义乘用车-单月", "狭义乘用车-累计", "广义乘用车-单月", "广义乘用车-累计"} :type symbol: str :param indicator: choice of {"批发", "零售"} :type indicator: str :return: 统计数据-厂商排名 :rtype: pandas.DataFrame

乘联会-统计数据-级别细分市场 http://data.cpcadata.com/SegmentMarket :param symbol: choice of {"轿车", "MPV", "SUV"} :type symbol: str :return: 统计数据-车型大类 :rtype: pandas.DataFrame

乘联会-统计数据-总体市场 http://data.cpcadata.com/TotalMarket :param symbol: choice of {"狭义乘用车", "广义乘用车"} :type symbol: str :param indicator: choice of {"产量", "批发", "零售", "出口"} :type indicator: str :return: 统计数据-总体市场 :rtype: pandas.DataFrame

盖世汽车-汽车行业制造企业数据库-销量数据 https://i.gasgoo.com/data/ranking :param symbol: choice of {"车企榜", "品牌榜", "车型榜"} :type symbol: str :param date: 查询的年份和月份 :type date: str :return: 销量数据 :rtype: pandas.DataFrame

芝加哥商业交易所-比特币成交量报告 https://datacenter.jin10.com/reportType/dc_cme_btc_report :param date: Specific date, e.g., "20230830" :type date: str :return: 比特币成交量报告 :rtype: pandas.DataFrame

金十数据-比特币持仓报告 https://datacenter.jin10.com/dc_report?name=bitcoint :return: 比特币持仓报告 :rtype: pandas.DataFrame

主流加密货币的实时行情数据, 一次请求返回具体某一时刻行情数据 https://datacenter.jin10.com/reportType/dc_bitcoin_current :return: pandas.DataFrame

人民币汇率中间价 https://www.safe.gov.cn/safe/rmbhlzjj/index.html :return: 人民币汇率中间价 :rtype: pandas.DataFrame

新浪财经-中行人民币牌价历史数据查询 https://biz.finance.sina.com.cn/forex/forex.php?startdate=2012-01-01&enddate=2021-06-14&money_code=EUR&type=0 :param symbol: choice of {'美元', '英镑', '欧元', '澳门元', '泰国铢', '菲律宾比索', '港币', '瑞士法郎', '新加坡元', '瑞典克朗', '丹麦克朗', '挪威克朗', '日元', '加拿大元', '澳大利亚元', '新西兰元', '韩国元'} :type symbol: str :param start_date: 开始交易日 :type start_date: str :param end_date: 结束交易日 :type end_date: str :return: 中行人民币牌价历史数据查询 :rtype: pandas.DataFrame

currencies data from currencyscoop.com https://currencyscoop.com/api-documentation :param base: The base currency you would like to use for your rates :type base: str :param to: The currency you would like to use for your rates :type to: str :param amount: The amount of base currency :type amount: str :param api_key: Account -> Account Details -> API KEY (use as password in external tools) :type api_key: str :return: Latest data of base currency :rtype: pandas.Series

currencies data from currencyscoop.com https://currencyscoop.com/api-documentation :param c_type: now only "fiat" can return data :type c_type: str :param api_key: Account -> Account Details -> API KEY (use as password in external tools) :type api_key: str :return: Latest data of base currency :rtype: pandas.DataFrame

Latest data from currencyscoop.com https://currencyscoop.com/api-documentation :param base: The base currency you would like to use for your rates :type base: str :param date: Specific date, e.g., "2020-02-03" :type date: str :param symbols: A list of currencies you will like to see the rates for. You can refer to a list all supported currencies here :type symbols: str :param api_key: Account -> Account Details -> API KEY (use as password in external tools) :type api_key: str :return: Latest data of base currency :rtype: pandas.DataFrame

Latest data from currencyscoop.com https://currencyscoop.com/api-documentation :param base: The base currency you would like to use for your rates :type base: str :param symbols: A list of currencies you will like to see the rates for. You can refer to a list all supported currencies here :type symbols: str :param api_key: Account -> Account Details -> API KEY (use as password in external tools) :type api_key: str :return: Latest data of base currency :rtype: pandas.DataFrame

指定货币的所有可获取货币对的数据 https://cn.investing.com/currencies/cny-jmd :param symbol: 指定货币 :type symbol: str :return: 指定货币的所有可获取货币对的数据 :rtype: pandas.DataFrame

Time-series data from currencyscoop.com P.S. need special authority https://currencyscoop.com/api-documentation :param base: The base currency you would like to use for your rates :type base: str :param start_date: Specific date, e.g., "2020-02-03" :type start_date: str :param end_date: Specific date, e.g., "2020-02-03" :type end_date: str :param symbols: A list of currencies you will like to see the rates for. You can refer to a list all supported currencies here :type symbols: str :param api_key: Account -> Account Details -> API KEY (use as password in external tools) :type api_key: str :return: Latest data of base currency :rtype: pandas.DataFrame

Drewry 集装箱指数 https://infogram.com/world-container-index-1h17493095xl4zj :param symbol: choice of {"composite", "shanghai-rotterdam", "rotterdam-shanghai", "shanghai-los angeles", "los angeles-shanghai", "shanghai-genoa", "new york-rotterdam", "rotterdam-new york"} :type symbol: str :return: Drewry 集装箱指数 :rtype: pandas.DataFrame

北京市碳排放权电子交易平台-北京市碳排放权公开交易行情 https://www.bjets.com.cn/article/jyxx/ :return: 北京市碳排放权公开交易行情 :rtype: pandas.DataFrame

碳交易网-行情信息 http://www.tanjiaoyi.com/ :param symbol: choice of {'湖北', '上海', '北京', '重庆', '广东', '天津', '深圳', '福建'} :type symbol: str :return: 行情信息 :rtype: pandas.DataFrame

深圳碳排放交易所-国际碳情 http://www.cerx.cn/dailynewsOuter/index.htm :return: 国际碳情每日行情数据 :rtype: pandas.DataFrame

广州碳排放权交易中心-行情信息 http://www.cnemission.com/article/hqxx/ :return: 行情信息数据 :rtype: pandas.DataFrame

湖北碳排放权交易中心-现货交易数据-配额-每日概况 http://www.hbets.cn/list/13.html?page=42 :return: 现货交易数据-配额-每日概况行情数据 :rtype: pandas.DataFrame

深圳碳排放交易所-国内碳情 http://www.cerx.cn/dailynewsCN/index.htm :return: 国内碳情每日行情数据 :rtype: pandas.DataFrame

全国各地区的汽油和柴油油价 https://data.eastmoney.com/cjsj/oil_default.html :param date: 可以调用 ak.energy_oil_hist() 得到可以获取油价的调整时间 :type date: str :return: oil price at specific date :rtype: pandas.DataFrame

汽柴油历史调价信息 https://data.eastmoney.com/cjsj/oil_default.html :return: 汽柴油历史调价信息 :rtype: pandas.DataFrame

福布斯中国-榜单 https://www.forbeschina.com/lists https://www.forbeschina.com/lists/1750 :param symbol: choice of {"2020福布斯美国富豪榜", "2020福布斯新加坡富豪榜", "2020福布斯中国名人榜", *} :type symbol: str :return: 具体指标的榜单 :rtype: pandas.DataFrame

东方财富网-行情中心-外汇市场-所有汇率-历史行情数据 https://quote.eastmoney.com/cnyrate/EURCNYC.html :param symbol: 品种代码；可以通过 ak.forex_spot_em() 来获取所有可获取历史行情数据的品种代码 :type symbol: str :return: 历史行情数据 :rtype: pandas.DataFrame

东方财富网-行情中心-外汇市场-所有汇率-实时行情数据 https://quote.eastmoney.com/center/gridlist.html#forex_all :return: 实时行情数据 :rtype: pandas.DataFrame