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【共享函数】绘制回测或模拟交易的买卖点

作者/用户24618566 2019-09-18 21:36 0 来源: FX168财经网人物频道

注意: pyecharts本身存在bug , 如果绘图出现空白 , ctrl shift p 搜索 "信任notebook" ,点击信任 , 如果网页一直处于加载状态可以多刷新几次页面试试
还有问题的话可以重新建立一个notebook执行上述步骤

效果图:

Img

用于在研究中获取回测信息,并将买卖点绘制在K线图中, 使用了pyecharts库 , 动手能力强的小伙伴们可以自己使用返回的overlip添加技术指标等显示在图上

(1) 初始化, 获取回测信息

回测ID（backtestId）:每个回测的唯一标识

TRADE_PLOT(ID = "回测ID")

初始化后将获得 trade_data 属性 , 是回测的所有交易记录详情

(2) 设置需要查看的标的(标的必须存在于交易列表中)

set_security('601866.XSHG' ,fq_date="last_day" ,forward_day=20  )

(3) 绘图

overlap = trade_plot.plot_base_bar()  #绘制K线图 
overlap

后续您也也可以自己添加副图或者主图指标到K线图中去 , 同时上传了py文件 plot_k.py , 可以直接上传到研究中 ,使用时 from plot_k import * 就可以直接调用了

注意: 如果绘图出现空白 , ctrl+shift+p 搜索 "信任notebook" ,点击信任 , 多刷新几次页面¶

还有问题的话可以重新建立一个notebook执行上述步骤¶

image.png

import pandas as pd
from jqdata import *
import talib
from pyecharts import * 

class TRADE_PLOT(object):
    def __init__(self,ID,security = None):
        online('https://cdn.bootcss.com/echarts/4.1.0.rc2')  #可能因为网络/pyecharts问题加载不出图像 , 网页没有加载的话可能需要多刷新几次
        self.ID = ID                  #回测ID
        self.security = security      #绘制K图的标的选择 
        self.trade_data = self.get_trade_info(self.ID,self.security)     #交易详情
        self.price_data = None
    def get_trade_info(self,ID,security):  
        '''获取交易数据'''
        data = pd.DataFrame(get_backtest(ID).get_orders())
        data['trade_date'] = pd.to_datetime(data.time).apply(lambda x : pd.to_datetime(x).date())
        return data
    def set_security(self , security,forward_day=20,fq_date="last_day"):
        """  设置需要查看的标的
        security = None ,  #需要查看的标的代码
        forward_day = 20 ,     #K线图第一次交易及最后一次交易前后回溯的交易日个数(剔除停牌)
        fq_date="last_day  #复权基准日, 默认K线的结束日期 ,其他可选参数详见API , get_bars"""
        self.security = security
        
        self.trade_data_security = self.trade_data[self.trade_data.security==security]
        if len(self.trade_data_security) ==0:
            print ('交易记录中没有该标的'.format(self.security))
        self.price_data = self.get_price_data(self.security,self.trade_data_security,forward_day,fq_date)
        
    def get_price_data(self,security,trade_data,forward_day,fq_date):
        '''获取价格数据'''
#         start_date= get_trade_days(end_date = trade_data.trade_date.iloc[0],count=forward_day)[0]
        last_date = trade_data.trade_date.iloc[-1] + datetime.timedelta(days = (forward_day*2 + 1))
        _after_days = get_trade_days(start_date=trade_data.trade_date.iloc[-1], end_date=last_date)
        end_date = _after_days[:forward_day][-1]
        day_range = get_trade_days( trade_data.trade_date.iloc[0] ,end_date)
        count = len(day_range)+forward_day

        if fq_date == 'last_day':
            fq_date = end_date
        p_df = pd.DataFrame(get_bars(security,end_dt=end_date,count=count,include_now=True,fq_ref_date=fq_date,
                                    fields=['date','open', 'high', 'low', 'close','volume'])).set_index('date')
#             get_price(security,end_date =end_date ,start_date= start_date ,fq=fq )
        return p_df
    def plot_base_bar(self):
        '''K线买卖点图'''
        security = self.security
        trade_data_security = self.trade_data_security
        price_data = self.price_data
        
        kline = Kline(get_security_info(security).display_name,)
        kline.add(security,price_data.index , price_data.loc[:,['open','close','low','high']].values,
                            is_datazoom_show=True,datazoom_range=[0,len(price_data)*2], datazoom_type= "both")
        kline._option['series'][0]['itemStyle']={'normal':{'color':'#ef232a', 'color0': '#14b143','borderColor': '#ef232a', 'borderColor0': '#14b143'}}

        es = EffectScatter("trade")
        buy_data = trade_data_security[trade_data_security.action== 'open']
        #symbol: 'circle', 'rect', 'roundRect', 'triangle', 'diamond', 'pin', 'arrow'
        es.add('buy',buy_data.trade_date , buy_data.price,symbol='triangle')#symbol_size=20,is_label_show=True)

        buy_data = trade_data_security[trade_data_security.action== 'close']
        es.add('sell',buy_data.trade_date , buy_data.price,symbol='diamond')#,is_label_show=True)
        es._option['series'][0]['itemStyle']={'normal':{'color':['#1d18ad']}}#, 'color0': '#140012'}}
        es._option['series'][1]['itemStyle']={'normal':{'color':['#140012']}}

        bar = Bar()
        bar.add("volume", price_data.index, price_data["volume"].values,is_datazoom_show=True,
                tooltip_tragger="axis", is_legend_show=True, is_yaxis_show=False, yaxis_max=10*(price_data["volume"].max()))        
                    
        es2 = EffectScatter("除权标识")
        factor = get_price(security,start_date=price_data.index[0],end_date=price_data.index[-1],
                           fields='factor',fq='post').factor.drop_duplicates(keep='first')[1:]
        factor.index = factor.index.date
#         print (factor)
        es2.add('除权标识',factor.index , factor.values ,is_datazoom_show=True,
                tooltip_tragger="axis", is_legend_show=True, is_yaxis_show=True, yaxis_max=factor.max()*10)
    
    
        overlap = Overlap(height=400,width=990)  
        overlap.add(kline)     #K线主图
        overlap.add(es2,yaxis_index=1, is_add_yaxis=True)  #除权标记
        overlap.add(es)       # 买卖点信息
        overlap.add(bar,yaxis_index=2, is_add_yaxis=True)   #成交量图
        
        return overlap

   
    def plot_m_k(self,end_date,count,unit='5m',fq_ref_date=None):
        '''绘制分钟/bar线图'''
        security = self.security
        price_data = pd.DataFrame(get_bars(security,end_dt=end_date,unit=unit,fq_ref_date=fq_ref_date,count=count,
                                         fields=['date','open','close','low','high','volume'],include_now=True)).set_index('date')
        kline = Kline(get_security_info(security).display_name+' {}线'.format(unit))
        kline.add(security,price_data.index , price_data.loc[:,['open','close','low','high']].values,
                  is_datazoom_show=True,datazoom_range=[0,len(price_data)], datazoom_type= "both")
        kline._option['series'][0]['itemStyle']={'normal':{'color':'#ef232a', 'color0': '#14b143','borderColor': '#ef232a', 'borderColor0': '#14b143'}}
        overlap = Overlap(height=400,width=990)

        bar = Bar()
        bar.add("volume", price_data.index, price_data["volume"].values,is_datazoom_show=True,
                tooltip_tragger="axis", is_legend_show=True, is_yaxis_show=False, yaxis_max=10*max(price_data["volume"]))

        overlap.add(kline)
        overlap.add(bar,yaxis_index=1, is_add_yaxis=True)
        return overlap

初始化, 获取回测信息¶

回测ID（backtestId）:每个回测的唯一标识

初始化后将获得 trade_data 属性 , 是回测的所有交易记录详情

trade_plot = TRADE_PLOT(ID = "d3f8331cc9591c2d8d85cf2aaa348a23") #回测ID , backtestID
                 
trade_plot.trade_data  #全部交易详情 
# trade_plot.trade_data.groupby("security")['security'].count().sort_values(ascending=False)  #查看各个标的的交易次数
.dataframe tbody tr th:only-of-type { vertical-align: middle; } .dataframe tbody tr th { vertical-align: top; } .dataframe thead th { text-align: right; }
action amount commission filled gains limit_price match_time price security security_name side status time type trade_date
0 open 8300 13.32 8300 0.0 0 2016-06-01 09:30:00 5.35 600350.XSHG 山东高速 long done 2016-06-01 09:30:00 market 2016-06-01
1 open 8500 13.39 8500 0.0 0 2016-06-01 09:30:00 5.25 600018.XSHG 上港集团 long done 2016-06-01 09:30:00 market 2016-06-01
2 open 6500 13.28 6500 0.0 0 2016-06-01 09:30:00 6.81 601158.XSHG 重庆水务 long done 2016-06-01 09:30:00 market 2016-06-01
3 open 6900 13.31 6900 0.0 0 2016-06-01 09:30:00 6.43 601699.XSHG 潞安环能 long done 2016-06-01 09:30:00 market 2016-06-01
4 open 7000 13.40 7000 0.0 0 2016-06-01 09:30:00 6.38 000540.XSHE 中天城投 long done 2016-06-01 09:30:00 market 2016-06-01
5 open 3500 13.11 3500 0.0 0 2016-06-01 09:30:00 12.49 000686.XSHE 东北证券 long done 2016-06-01 09:30:00 market 2016-06-01
6 open 600 11.76 600 0.0 0 2016-06-01 09:30:00 65.32 000963.XSHE 华东医药 long done 2016-06-01 09:30:00 market 2016-06-01
7 open 2000 12.85 2000 0.0 0 2016-06-01 09:30:00 21.41 000895.XSHE 双汇发展 long done 2016-06-01 09:30:00 market 2016-06-01
8 open 4900 13.42 4900 0.0 0 2016-06-01 09:30:00 9.13 600016.XSHG 民生银行 long done 2016-06-01 09:30:00 market 2016-06-01
9 open 8400 13.36 8400 0.0 0 2016-06-01 09:30:00 5.30 000937.XSHE 冀中能源 long done 2016-06-01 09:30:00 market 2016-06-01
10 open 2100 13.06 2100 0.0 0 2016-06-01 09:30:00 20.73 600703.XSHG 三安光电 long done 2016-06-01 09:30:00 market 2016-06-01
11 open 1800 13.08 1800 0.0 0 2016-06-01 09:30:00 24.23 601238.XSHG 广汽集团 long done 2016-06-01 09:30:00 market 2016-06-01
12 open 5000 13.40 5000 0.0 0 2016-06-01 09:30:00 8.93 600717.XSHG 天津港 long done 2016-06-01 09:30:00 market 2016-06-01
13 open 2400 12.98 2400 0.0 0 2016-06-01 09:30:00 18.03 601009.XSHG 南京银行 long done 2016-06-01 09:30:00 market 2016-06-01
14 open 10400 13.45 10400 0.0 0 2016-06-01 09:30:00 4.31 601866.XSHG 中海集运 long done 2016-06-01 09:30:00 market 2016-06-01
15 open 9200 13.36 9200 0.0 0 2016-06-01 09:30:00 4.84 600028.XSHG 中国石化 long done 2016-06-01 09:30:00 market 2016-06-01
16 open 2800 13.20 2800 0.0 0 2016-06-01 09:30:00 15.72 002500.XSHE 山西证券 long done 2016-06-01 09:30:00 market 2016-06-01
17 open 10800 13.41 10800 0.0 0 2016-06-01 09:30:00 4.14 600157.XSHG 永泰能源 long done 2016-06-01 09:30:00 market 2016-06-01
18 open 3000 13.36 3000 0.0 0 2016-06-01 09:30:00 14.84 002142.XSHE 宁波银行 long done 2016-06-01 09:30:00 market 2016-06-01
19 open 5200 13.24 5200 0.0 0 2016-06-01 09:30:00 8.49 600089.XSHG 特变电工 long done 2016-06-01 09:30:00 market 2016-06-01
20 open 800 12.01 800 0.0 0 2016-06-01 09:30:00 50.06 002007.XSHE 华兰生物 long done 2016-06-01 09:30:00 market 2016-06-01
21 open 1300 12.76 1300 0.0 0 2016-06-01 09:30:00 32.73 601318.XSHG 中国平安 long done 2016-06-01 09:30:00 market 2016-06-01
22 open 5200 13.23 5200 0.0 0 2016-06-01 09:30:00 8.48 601992.XSHG 金隅股份 long done 2016-06-01 09:30:00 market 2016-06-01
23 open 1100 12.38 1100 0.0 0 2016-06-01 09:30:00 37.53 002252.XSHE 上海莱士 long done 2016-06-01 09:30:00 market 2016-06-01
24 open 1700 13.06 1700 0.0 0 2016-06-01 09:30:00 25.60 300024.XSHE 机器人 long done 2016-06-01 09:30:00 market 2016-06-01
25 open 2900 13.18 2900 0.0 0 2016-06-01 09:30:00 15.15 600111.XSHG 北方稀土 long done 2016-06-01 09:30:00 market 2016-06-01
26 open 1700 12.72 1700 0.0 0 2016-06-01 09:30:00 24.95 600867.XSHG 通化东宝 long done 2016-06-01 09:30:00 market 2016-06-01
27 open 3500 13.37 3500 0.0 0 2016-06-01 09:30:00 12.73 601555.XSHG 东吴证券 long done 2016-06-01 09:30:00 market 2016-06-01
28 open 5500 13.36 5500 0.0 0 2016-06-01 09:30:00 8.10 600369.XSHG 西南证券 long done 2016-06-01 09:30:00 market 2016-06-01
29 open 10200 13.37 10200 0.0 0 2016-06-01 09:30:00 4.37 600578.XSHG 京能电力 long done 2016-06-01 09:30:00 market 2016-06-01
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
946 open 400 5.00 400 0.0 0 2016-06-30 09:30:00 32.65 002230.XSHE 科大讯飞 long done 2016-06-30 09:30:00 market 2016-06-30
947 open 1200 5.00 1200 0.0 0 2016-06-30 09:30:00 11.92 600153.XSHG 建发股份 long done 2016-06-30 09:30:00 market 2016-06-30
948 open 1400 5.00 1400 0.0 0 2016-06-30 09:30:00 10.35 600021.XSHG 上海电力 long done 2016-06-30 09:30:00 market 2016-06-30
949 open 3400 5.00 3400 0.0 0 2016-06-30 09:30:00 4.33 600578.XSHG 京能电力 long done 2016-06-30 09:30:00 market 2016-06-30
950 open 6500 5.00 6500 0.0 0 2016-06-30 09:30:00 2.31 000725.XSHE 京东方A long done 2016-06-30 09:30:00 market 2016-06-30
951 open 2100 5.00 2100 0.0 0 2016-06-30 09:30:00 6.95 600583.XSHG 海油工程 long done 2016-06-30 09:30:00 market 2016-06-30
952 open 1400 5.00 1400 0.0 0 2016-06-30 09:30:00 10.68 601800.XSHG 中国交建 long done 2016-06-30 09:30:00 market 2016-06-30
953 open 3800 5.00 3800 0.0 0 2016-06-30 09:30:00 3.90 601991.XSHG 大唐发电 long done 2016-06-30 09:30:00 market 2016-06-30
954 open 300 5.00 300 0.0 0 2016-06-30 09:30:00 40.67 601336.XSHG 新华保险 long done 2016-06-30 09:30:00 market 2016-06-30
955 open 200 5.00 200 0.0 0 2016-06-30 09:30:00 67.45 300017.XSHE 网宿科技 long done 2016-06-30 09:30:00 market 2016-06-30
956 open 800 5.00 800 0.0 0 2016-06-30 09:30:00 17.96 601607.XSHG 上海医药 long done 2016-06-30 09:30:00 market 2016-06-30
957 open 2300 5.00 2300 0.0 0 2016-06-30 09:30:00 6.47 601006.XSHG 大秦铁路 long done 2016-06-30 09:30:00 market 2016-06-30
958 open 1400 5.00 1400 0.0 0 2016-06-30 09:30:00 10.19 601186.XSHG 中国铁建 long done 2016-06-30 09:30:00 market 2016-06-30
959 open 800 5.00 800 0.0 0 2016-06-30 09:30:00 16.96 600816.XSHG 安信信托 long done 2016-06-30 09:30:00 market 2016-06-30
960 open 600 5.00 600 0.0 0 2016-06-30 09:30:00 24.07 600637.XSHG 东方明珠 long done 2016-06-30 09:30:00 market 2016-06-30
961 open 2700 5.00 2700 0.0 0 2016-06-30 09:30:00 5.51 601118.XSHG 海南橡胶 long done 2016-06-30 09:30:00 market 2016-06-30
962 open 2800 5.00 2800 0.0 0 2016-06-30 09:30:00 5.26 601106.XSHG 中国一重 long done 2016-06-30 09:30:00 market 2016-06-30
963 open 1600 5.00 1600 0.0 0 2016-06-30 09:30:00 9.34 600704.XSHG 物产中大 long done 2016-06-30 09:30:00 market 2016-06-30
964 open 1000 5.00 1000 0.0 0 2016-06-30 09:30:00 13.86 600959.XSHG 江苏有线 long done 2016-06-30 09:30:00 market 2016-06-30
965 open 2100 5.00 2100 0.0 0 2016-06-30 09:30:00 7.09 601390.XSHG 中国中铁 long done 2016-06-30 09:30:00 market 2016-06-30
966 open 800 5.00 800 0.0 0 2016-06-30 09:30:00 17.90 600485.XSHG 信威集团 long done 2016-06-30 09:30:00 market 2016-06-30
967 close 900 11.01 900 -144.0 0 2016-06-30 14:35:00 6.68 002146.XSHE 荣盛发展 long done 2016-06-30 14:35:00 market 2016-06-30
968 close 400 10.70 400 12.0 0 2016-06-30 14:35:00 14.24 001979.XSHE 招商蛇口 long done 2016-06-30 14:35:00 market 2016-06-30
969 close 9700 410.58 9700 679.0 0 2016-06-30 14:35:00 32.56 000858.XSHE 五粮液 long done 2016-06-30 14:35:00 market 2016-06-30
970 close 700 10.78 700 28.0 0 2016-06-30 14:35:00 8.25 600674.XSHG 川投能源 long done 2016-06-30 14:35:00 market 2016-06-30
971 close 600 9.99 600 -144.0 0 2016-06-30 14:35:00 8.31 000876.XSHE 新希望 long done 2016-06-30 14:35:00 market 2016-06-30
972 close 1000 10.86 1000 22.5 0 2016-06-30 14:35:00 5.86 600705.XSHG 中航资本 long done 2016-06-30 14:35:00 market 2016-06-30
973 close 300 10.10 300 -195.0 0 2016-06-30 14:35:00 17.01 002450.XSHE 康得新 long done 2016-06-30 14:35:00 market 2016-06-30
974 close 1000 14.37 1000 20.0 0 2016-06-30 14:35:00 9.37 601009.XSHG 南京银行 long done 2016-06-30 14:35:00 market 2016-06-30
975 close 1200 12.67 1200 -48.0 0 2016-06-30 14:35:00 6.39 000069.XSHE 华侨城A long done 2016-06-30 14:35:00 market 2016-06-30

976 rows × 15 columns

设定股票后可以获取的属性 :

  1. 当前标的交易记录 trade_data_security ;
  2. 前证券的行情数据 price_data

set_security(self , security,p_f_day=20,fq_date="last_day")

  1. security = None : 需要查看的标的代码
  2. forward_day = 20 : K线图第一次交易及最后一次交易前后回溯的交易日个数(剔除停牌)
  3. fq_date="last_day" : 复权基准日
    last_day : 以K线的结束日期为基准日 (和回测较为接近)
    None : 不复权
    具体日期 : 以某一天价格点位为参照物，进行的前复权或后复权。设置为datetime.datetime.now()即返回前复权数据 ; 更多关于动态复权解释）
"""  设置需要查看的标的
        security = None ,  #需要查看的标的代码
        p_f_day = 20 ,     #K线图第一次交易及最后一次交易前后回溯的交易日个数(剔除停牌)
        fq_date="last_day  #复权基准日, 默认K线的结束日期 ,其他可选参数详见API , get_bars"""
trade_plot.set_security('601866.XSHG' ,fq_date="last_day" ,forward_day=20  )    #设置需要查看的标的,复权基准日及K线回溯天数,None为不复权
        
# trade_plot.price_data                   #查看当前证券的行情数据
trade_plot.trade_data_security            #当前证券交易记录
.dataframe tbody tr th:only-of-type { vertical-align: middle; } .dataframe tbody tr th { vertical-align: top; } .dataframe thead th { text-align: right; }
action amount commission filled gains limit_price match_time price security security_name side status time type trade_date
14 open 10400 13.45 10400 0.0 0 2016-06-01 09:30:00 4.31 601866.XSHG 中海集运 long done 2016-06-01 09:30:00 market 2016-06-01
345 close 10400 55.43 10400 -2184.0 0 2016-06-13 14:35:00 4.10 601866.XSHG 中海集运 long done 2016-06-13 14:35:00 market 2016-06-13 
overlap = trade_plot.plot_base_bar()  #绘制K线图 
overlap
require.config({ paths: { 'echarts': 'https://cdn.bootcss.com/echarts/4.1.0.rc2/echarts.min' } });
require(['echarts'], function(echarts) { var myChart_21948ca9ffe54c889d0ae39d6c9e9aaf = echarts.init(document.getElementById('21948ca9ffe54c889d0ae39d6c9e9aaf'), 'light', {renderer: 'canvas'}); function kline_tooltip_formatter(params) { var text; text = ((((((((((((params[0].seriesName + "<br/>") + "- open:") + params[0].data[1]) + "<br/>") + "- close:") + params[0].data[2]) + "<br/>") + "- lowest:") + params[0].data[3]) + "<br/>") + "- highest:") + params[0].data[4]); return text; } var option_21948ca9ffe54c889d0ae39d6c9e9aaf = { "title": [ { "text": "\u4e2d\u8fdc\u6d77\u53d1", "left": "auto", "top": "auto", "textStyle": { "fontSize": 18 }, "subtextStyle": { "fontSize": 12 } } ], "toolbox": { "show": true, "orient": "vertical", "left": "95%", "top": "center", "feature": { "saveAsImage": { "show": true, "title": "save as image" }, "restore": { "show": true, "title": "restore" }, "dataView": { "show": true, "title": "data view" } } }, "series_id": 5384594, "tooltip": { "trigger": 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示例 : K线添加MA线¶

trade_plot.plot_base_bar() 返回一个pyecharts 的 overlap , 大家也可以按照需求增加各种指标或副图上去 ,下边以最简单的ma为例

需要注意 xaxis_index 需要和K线使用的索引数据类型(datetime.date)保持一致,否则无法显示

def plot_ma(data,short,long):
    ma_short= price_data.close.rolling(window=short).mean().round(2)
    ma_long =price_data.close.rolling(window=long).mean().round(2)
    line = Line()
    line.add("ma{}".format(short),ma_short.index, ma_short.values)
    line.add("ma{}".format(long),ma_long.index, ma_long.values)
    return line

trade_plot.set_security('002385.XSHE',forward_day  = 30,fq_date=None)   #变更标的,检查 fq_date 参数及除权标记是否生效
overlap2 = trade_plot.plot_base_bar() 
price_data = trade_plot.price_data
overlap2.add(plot_ma(price_data,5,10))   # 添加MA图
require.config({ paths: { 'echarts': 'https://cdn.bootcss.com/echarts/4.1.0.rc2/echarts.min' } });
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聲明：本文為入駐FX168財經網人物頻道的作者發布，不代表FX168財經網的觀點。文中觀點僅供參考，投資有風險，入市需謹慎

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