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| # Ashare (免费 开源 极简 A股实时行情数据) | ||
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| 中国股市A股股票行情实时数据最简封装API接口,包含日线,分时分钟线,全部格式成DataFrame格式数据,可用来研究，量化分析，简单的自动化交易系统 | ||
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| 功能特点 | ||
| --- | ||
| * 核心库轻量化： 项目库就一个文件Ashare.py,不用安装，不用设置，可自由裁剪，随用随走 ( from Ashare import * 即可 ) | ||
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| * 内核封装的是腾讯股票的实时行情数据，包括日线，任意历史日线，分钟线，小时线等 | ||
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| * 全部数据格式清理成DataFrame格式数据，让您非常方便的使用pandas来分析和处理 | ||
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| * 和其他行情库（tushare等）比的优点是什么？ | ||
| 简单 轻量 便携 免费 开源 方便 无需安装 | ||
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| * Ashare可以用在任何需要量化研究，量化分析的场合 | ||
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| ### 先看一个最简单的例子 [Demo1.py](https://github.com/mpquant/Ashare/blob/main/Demo1.py) | ||
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| ```python | ||
| from Ashare import * | ||
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| # 证券代码兼容多种格式 通达信，同花顺，聚宽 | ||
| # sh000001 (000001.XSHG) sz399006 (399006.XSHE) sh600519 ( 600519.XSHG ) | ||
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| df=get_price('sh000001',frequency='1d',count=5) #默认获取今天往前5天的日线行情 | ||
| print('上证指数日线行情\n',df) | ||
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| df=get_price('000001.XSHG',frequency='1d',count=5,end_date='2021-04-30') #可以指定结束日期，获取历史行情 | ||
| print('上证指数历史行情\n',df) | ||
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| df=get_price('sh600519',frequency='15m',count=5) #分钟线行情，可用'1m','5m','15m','30m','60m' | ||
| print('贵州茅台15分钟线\n',df) | ||
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| df=get_price('600519.XSHG',frequency='60m',count=6) #分钟线行情，可用'1m','5m','15m','30m','60m' | ||
| print('贵州茅台60分钟线\n',df) | ||
| ``` | ||
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| ```python | ||
| #上证指数日线行情---------------------------------------------------- | ||
| open close high low volume | ||
| 2021-06-07 3597.14 3599.54 3600.38 3581.90 303718677.0 | ||
| 2021-06-08 3598.75 3580.11 3621.52 3563.25 304491470.0 | ||
| 2021-06-09 3576.80 3591.40 3598.71 3572.64 298323296.0 | ||
| 2021-06-10 3587.53 3610.86 3624.34 3584.13 318174808.0 | ||
| 2021-06-11 3614.11 3589.75 3614.40 3587.15 360554970.0 | ||
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| #贵州茅台60分钟线---------------------------------------------------- | ||
| open close high low volume | ||
| 2021-06-10 14:00:00 2237.00 2224.16 2245.00 2222.00 4541.53 | ||
| 2021-06-10 15:00:00 2222.21 2238.48 2240.34 2222.21 4146.88 | ||
| 2021-06-11 10:30:00 2239.00 2220.00 2244.00 2197.86 12030.00 | ||
| 2021-06-11 11:30:00 2220.01 2210.18 2231.80 2200.18 4868.00 | ||
| 2021-06-11 14:00:00 2210.10 2223.35 2224.48 2206.01 4544.00 | ||
| 2021-06-11 15:00:00 2223.33 2178.81 2226.80 2178.81 12529.00 | ||
| ``` | ||
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| ### 再看一个配合[MyTT](https://github.com/mpquant/MyTT)的例子 [Demo2.py](https://github.com/mpquant/Ashare/blob/main/Demo2.py) | ||
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| ```python | ||
| #股市行情数据获取和作图 -2 | ||
| from Ashare import * #股票数据库 https://github.com/mpquant/Ashare | ||
| from MyTT import * #myTT麦语言工具函数指标库 https://github.com/mpquant/MyTT | ||
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| # 证券代码兼容多种格式 通达信，同花顺，聚宽 | ||
| # sh000001 (000001.XSHG) sz399006 (399006.XSHE) sh600519 ( 600519.XSHG ) | ||
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| df=get_price('000001.XSHG',frequency='1d',count=120) #默认获取今天往前5天的日线行情 | ||
| print('上证指数日线行情\n',df.tail(5)) | ||
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| #-------有数据了，下面开始正题 ------------- | ||
| CLOSE=df.close; OPEN=df.open #基础数据定义，只要传入的是序列都可以 | ||
| HIGH=df.high; LOW=df.low #也支持pd序列，列表,例如 CLOSE=df.close , CLOSE=list(df.close) 都是一样 | ||
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| MA5=MA(CLOSE,5) #获取5日均线序列 | ||
| MA10=MA(CLOSE,10) #获取10日均线序列 | ||
| up,mid,lower=BOLL(CLOSE) #获取布林带指标数据 | ||
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| #-------------------------作图显示----------------------------------------------------------------- | ||
| import matplotlib.pyplot as plt ; from matplotlib.ticker import MultipleLocator | ||
| plt.figure(figsize=(15,8)) | ||
| plt.plot(CLOSE,label='SHZS'); plt.plot(up,label='UP'); #画图显示 | ||
| plt.plot(mid,label='MID'); plt.plot(lower,label='LOW'); | ||
| plt.plot(MA10,label='MA10',linewidth=0.5,alpha=0.7); | ||
| plt.legend(); plt.grid(linewidth=0.5,alpha=0.7); plt.gcf().autofmt_xdate(rotation=45); | ||
| plt.gca().xaxis.set_major_locator(MultipleLocator(len(CLOSE)/30)) #日期最多显示30个 | ||
| plt.title('SH-INDEX & BOLL SHOW',fontsize=20); plt.show() | ||
| ``` | ||
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| <div align="center"> <img src="/img/sh_boll.png" width = "960" height = "400" alt="boll" /> </div> | ||
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| ---------------------------------------------------- | ||
| ### 团队其他开源项目 | ||
| * [MyTT 通达信,同花顺公式指标，文华麦语言的python实现](https://github.com/mpquant/MyTT) | ||
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| * [Hb_Spark数字货币高速免费实时行情服务器,量化必备](https://github.com/mpquant/huobi_intf) | ||
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| * [hb_trade火币网交易接口API最简封装,提供现货期货合约](https://github.com/mpquant/huobi_trade) | ||
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| * [backtest数字货币历史回测服务器,高速内存数据库实现](https://github.com/mpquant/huobi_backtest) | ||
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| * [ths_trade同花顺自动化交易股票下单接口API,量化框架](https://github.com/mpquant/ths_trade) | ||
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| * [Ashare最简股票行情数据接口API,A股行情完全开源免费](https://github.com/mpquant/Ashare) | ||
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| ### 巴特量化 | ||
| * 数字货币 股市量化工具 行情系统软件开发 通达信同花顺公式开发 python量化系统开发 | ||
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| * BTC虚拟货币量化交易策略开发 自动化交易策略运行 | ||
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| ---------------------------------------------------- | ||
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|  | ||
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| > #### 股市程序化交易大群,数字货币量化交易探讨, 圈内大咖量化策略分享 | ||
| > #### 全是干货，无闲聊 ，物以类聚,人以群分，一起感受思维碰撞的力量! |