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复杂看盘图表测试版

Author: qq89520, Date: 2020-06-30 16:04:38
Tags: Chart python



'''backtest
start: 2020-03-11 00:00:00
end: 2020-04-09 23:59:00
period: 1d
exchanges: [{"eid":"Bitfinex","currency":"BTC_USD"}]
'''
import pandas as pd
import numpy as np
import re
preBarTime_1=0
'''
shortChart = {
    "__isStock" : True,
    "extension" : {
        "layout" : "group",  #single不参于分组,单独显示, 默认为分组 'group'
        "height" : 300, 
    },
    "title" : {"text": 'rb888' + '__15M交易信号图'},
    "xAxis" : {"type" : "datetime"}, # 时间序列轴
    "yAxis" : [{"labels": {
        "align": 'right',
        "x": -3
    },
                "title": {
                    "text": '盘口'
                },
                "height": "45%",  # 相对宽度大小
                "resize": {
                    "enabled": True  # 是否启用重置宽度  
                },
                "opposite": True,  # 是否将轴显示在对面 默认左
                "offset": 0,  # 坐标轴偏移 正右 负左
                "lineWidth": 2  # 线宽
               }, {"labels": {
        "align": 'right',
        "x": -3
    },
                   "title": {
                       "text": 'RSI'
                   },
                   "top": '45%',
                   "height": '25%',
                   "opposite": True,
                   "offset": 0,
                   "lineWidth": 2
                  }, {"labels": {
        "align": 'right',
        "x": -3
    },
                      "title": {
                          "text": 'MACD_5'
                      },
                      "top": '70%',
                      "height": '30%',
                      "opposite": True,
                      "offset": 0,
                      "lineWidth": 2
                     }    
              ],
    "tooltip":{
        "split": False,  # 原生js??
        "xDateFormat" : "%Y-%m-%d %H:%M:%S, %A"
    },
    "series" : [{'type': 'candlestick',
                 'name': 'k线',
                 #'color': 'green',
                 #'lineColor': 'green',  # 默认显示color的设置,非null这按照这里的设置显示
                 #'upColor': 'red',
                 #'upLineColor': 'red',
                 "data" : [],
                }, {
            "type" : "line",
            "name" : "rsi",
            "data" : [],
            "yAxis": 1  # 相对位置
        }
        , {
            "type" : "line",
            "name" : "diff",
            "data" : [],
            "yAxis": 2  # 相对位置
        }, {
            "type" : "line",
            "name" : "dea",
            "data" : [],
            "yAxis": 2  # 相对位置
        }, {
            "type" : "column",
            "name" : "macd",
            "data" : [],
            "yAxis": 2  # 相对位置
        }
    ]
}
'''
"""
shortChart = {
    "__isStock" : True,
    "extension" : {
        "layout" : "single",  #single不参于分组,单独显示, 默认为分组 'group'
        "height" : 300, 
    },
    "title" : {"text": 'rb888' + '__15M交易信号图'},
    "xAxis" : {"type" : "datetime"}, # 时间序列轴
    "yAxis" : {"labels": {
                    "align": 'right',
                    "x": -3
                },
                "title": {
                    "text": '盘口'
                },
                #"height": "45%",  # 相对宽度大小
                #"resize": {
                #    "enabled": True  # 是否启用重置宽度  
                "opposite": True,  # 是否将轴显示在对面 默认左
                "offset": 0,  # 坐标轴偏移 正右 负左
                "lineWidth": 2  # 线宽
    },
    "tooltip" : {
        "split": false,  # 原生js??
        "xDateFormat" : "%Y-%m-%d %H:%M:%S, %A"
    },
    "series" : {'type': 'candlestick',
                'name': 'k线',
                #'color': 'green',
                #'lineColor': 'green',  # 默认显示color的设置,非null这按照这里的设置显示
                #'upColor': 'red',
                #'upLineColor': 'red',
                "data" : [],
            }
}
"""
shortChart = {
    "__isStock" : True,
    "extension" : {
    "layout" : "single",  #single不参于分组,单独显示, 默认为分组 'group'
    #"height" : 500, 
    },
    'legend': {
        'enabled': true  # 图例 true开启
    },
    'title' : {
        'text' : '柱形K线'
    },
    "xAxis" : {
        "type" : "datetime",
        #'dashStyle': 'dash'  # 准心线样式 虚线
    }, # 时间序列轴
    'yAxis' : [{
        'labels':{
            'align':'right',
            'x':-3
        },
        'height':"40%",
        'lineWidth':2,
        #'crosshair': true,  # 准心线
        'resize':{
            'enabled':true
        }
    },{
        'labels':{
            'align':'right',
            'x':-3
        },
        'title':{
            'text' : 'Volume'
        },
        'top':'40%',
        'height':'15%',
        'offset':0,
        #'crosshair': true,
        'lineWidth':2
    },{"labels": {
            "align": 'right',
            "x":-3
        },
        "title": {
            "text": 'RSI'
        },
        "top": '55%',
        "height": '20%',
        "opposite": True,
        "offset": 0,
        #'crosshair': true,
        "lineWidth": 2,
        'plotLines': [{
                'value': 75,  # 值大小
                'color': 'green',  # 颜色
                'dashStyle': 'shortdash', # 线条样式
                'width': 0.5,
                #'label': {
                #    'text': '多头止盈线'
                #}
        },{
                'value': 25,
                'color': 'red',
                'dashStyle': 'shortdash',
                'width': 0.5,
                #'label': {
                #    'text': '空头止盈线'
                #}
        }
        ]
    }, {"labels": {
            "align": 'right',
            "x":-3
    },
        "title": {
            "text": 'MACD'
        },
        "top": '75%',
        "height": '25%',
        "opposite": True,
        "offset": 0,
        "lineWidth": 2
    }
    ],
    'tooltip':{
        #'shared': true,  # 是否开启提示标签共享,多图下效果基本等同split
        "xDateFormat" : "%Y-%m-%d %H:%M:%S, %A",
        'shared': true,
		'crosshairs': true,
        'valueDecimals':2, # 保留小数
        #'split':true, # 提示框分开
        #'distance': 30,
		#'padding': 5
        #'positioner': {
        #    'x':150,
        #    'y':150
        #},
        #'shadow': false,
        #'borderWidth': 0,
        #'backgroundColor': 'rgba(255,255,255,0.8)'
    },
    'series':[{
        'type':'candlestick',
        'animationLimit':'Infinity',
        'color': 'green',
        'lineColor': 'green',  # 默认显示color的设置,非null这按照这里的设置显示
        'upColor': 'red',
        'upLineColor': 'red',
        'name':'appl',
        'data':[]
    },{
        'type':'column',
        'name':'Volume',
        'data':[],
        'yAxis':1
    },{
        "type" : "line",
        "name" : "rsi",
        "data" : [],
        "yAxis": 2  # 相对位置
    },{
        "type" : "line",
        "name" : "diff",
        "data" : [],
        "yAxis": 3  # 相对位置
    },{
        "type" : "line",
        "name" : "dea",
        "data" : [],
        "yAxis": 3  # 相对位置
    },{
        "type" : "column",
        "name" : "macd",
        "data" : [],
        'maxPointWidth':2,  # 量柱最大宽度
        "yAxis": 3  # 相对位置
    }

    ]
}
    

longChart = {
    "__isStock" : True,
    "extension" : {
        "layout" : "group", 
        #"height" : 300, 
    },
    'rangeSelector':{
        'selected' : 0 
    },
    'chart': {  # 主配置项
        #'height': 630,  # 高度,平台不支持配置
        'type': 'line',
        'zoomType': 'x',  # 缩放
        #'selectionMarkerFill':'rgba(51,92,223,0.25)',  # 缩放框背景色
        #'panning': true,  # 开启平移
        #'panKey': 'shift'  # 平移
        'borderColor': '#EBBA95', # 外框配置项
        'borderWidth': 2,  ##
        'borderRadius': 10, ##
    },
    "rangeSelector" : {
        "buttons" : [{
            "type" : "hour",
            "count" : 1,
            "text" : "1h",
        }, {
            "type" : 'hour',
            "count" : 3,
            "text" : "3h"
        }, {
            "type" : "day",
            "count" : 1,
            "text" : "1d"
        }, {
            "type" : "week",
            "count" : 1,
            "text" : "1w"
        }, {
            "type" : "year",
            "count" : 1,
            "text" : "1Y"
        }, {
            "type" : "all",
            "text" : "All"
        }],
        "selected" : 1,
        "inputEnabled" : True
    },
    'legend': {
        'enabled': true  # 图例 true开启
    },
    'title' : {
        'text' : '15'
    },
    'subtitle': {
        'text': '湘水看盘图表',  #'当前价格:'+str(records_5[-1]['Close'] if records_5[-1]['Close'] is not None else **)+' || '+'当前时间:'+str(Time_5 if Time_5 is not None else **)
    },
    "xAxis" : {
        "type" : "datetime",
        #'dashStyle': 'dash'  # 准心线样式 虚线
    }, # 时间序列轴
    "xAxis" : {"type" : "datetime"},
    "yAxis" : [{
            "title": {
                "text": 'Kline'
            },
            "height": "60%",  # 相对宽度大小
            "offset": 0,  # 坐标轴偏移 正右 负左
            "lineWidth": 2  # 线宽
        },{
            "title": {
                "text": 'MACD'
            },
            "top": '62%',
            "height": '38%',
            "offset": 0,
            "lineWidth": 2
        }    
    ],
    "series" : [
        {
            "type" : "candlestick", 
            "name" : "k_15",
            "id" : "k",
            "data" : [],
            "yAxis": 0  # 相对位置
        },{
            "type" : "column",
            "name" : "macd_15",
            "data" : [],  
            "yAxis": 1  # 相对位置
        }
    ]
}

chart0 = {                                        
    "__isStock" : True,
    "extension" : {
        "layout" : "group", 
        #"height" : 300, 
    },

    'title' : { 'text' : '日K线图'},                       
    'xAxis': { 'type': 'datetime'},            
    'series' : [                                          
        {                                      
            'type': 'candlestick',                         
            'name': 'r',   
            'id': 'r',                                     
            'data': []                                           
        }, {                                      
            'type': 'column',           
            'name': 'vol',          
            'data': [],               
        }
    ]
}

chart1 = {  
    "__isStock" : True,
    "extension" : {
        "layout" : "group", 
        #"height" : 300, 
    },
                                      
    'title' : { 'text' : 'ris'},                       
    'xAxis': { 'type': 'datetime'},                       
    'yAxis' : {                                           
            'title': {'text': 'rsi'},                           
            'opposite': false                                 
    },
    'series' :                                      
        { 
            'type': 'line',
            #'yAxis': 1, 
            'name': 'rsi',
            'data': []
    },
}


chart2 = {  
    "__isStock" : True,
    "extension" : {
        "layout" : "group", 
        #"height" : 300, 
    },
                                      
    'title' : { 'text' : 'macd'},                       
    'xAxis': { 'type': 'datetime'},                       
    'yAxis' : {                                           
            'title': {'text': 'macd'},                           
            'opposite': false                                 
    },
    'series' :  [           
        { 
            'type': 'line',
            #'yAxis': 1, 
            'name': 'dif',
            'data': []
    },{ 
            'type': 'line',
            #'yAxis': 1, 
            'name': 'eda',
            'data': []
    },{ 
            'type': 'line',
            #'yAxis': 1, 
            'name': 'macd',
            'data': []
    },
    ]
}


hart1 = {                                        
    "__isStock" : True,
    "extension" : {
        "layout" : "group", 
        #"height" : 300, 
    },

    'title' : { 'text' : 'MACD_5'},                       
    'xAxis': { 'type': 'datetime'},             
    'series' : [                                          
        {                                      
            'type': 'candlestick',                             
            'name': 'k',   
            'id': 'r1',                                     
            'data': []                                           
        }, {                                      
            'type': 'column',           
            'name': 'macd_15',          
            'data': [],               
        }
    ]
}




macd_15 = []
runTime = {}
runTime['preBarTime_1'] = [0,0]
runTime['arrKIndex'] = []
_5_lengh = 50
_15_lengh = 50
def ticks_(records, k):
    if len(records) == 0:
        return []
    if isinstance(records[0], int) or isinstance(records[0], float):
        return records

    ticks = [None] * len(records)
    for i in range(len(records)):
        ticks[i] = records[i][k]
        return ticks


def plot(arr,_5_lengh,_15_lengh,index_2,runTime,chart):
    for x,symbol in enumerate(arr):
        #Log(symbol,_D(),)
        runTime['arrKIndex'] = [index_2[x],index_2[x]+7]   # [0,7] [8,15]
        #Log(symbol)
        exchange.SetContractType(symbol)
        #Log(symbol,_D())
        records_5 = _C(exchange.GetRecords,PERIOD_M5)  # 返回列表型字典
        records_15 = _C(exchange.GetRecords,PERIOD_M15)
        r = records_5
        m = records_15
        Time_5 = records_5[-1]['Time']
        Time_5_list = pd.Series(ticks_(records_5,'Time'))  # 小周期开盘时间数组
        #Open_5 = records_5['Open']
        #High_5 = records_5['High']
        #Low_5 = records_5['Low']
        Close_5 = pd.Series(ticks_(records_5,'Close'))  # 小周期收盘价数组

        Time_15 = records_15[-1]['Time']
        Time_15_list = pd.Series(ticks_(records_15,'Time'))  # 小周期开盘时间数组
        #Open_5 = records_5['Open']
        #High_5 = records_5['High']
        #Low_5 = records_5['Low']
        Close_15 = pd.Series(ticks_(records_15,'Close'))  # 小周期收盘价数组

        #Log(2)
        '''
        nowdea_15 = dea_15[-1]
        nowdiff_15 = diff_15[-1]
        nowmacd_15 = macd_15[-1]
        '''

        '''
        predea_15 = dea_15[-2]
        prediff_15 = diff_15[-2]
        premacd_15 = macd_15[-2]
        '''
        #index_1 += 5
        if not r or not m:
            return
        #Log(3,len(r))

        if len(r) < _5_lengh:  # 过滤K线过短情况
            return

        #Log(4)
        Macd_5 = TA.MACD(r, fastEMA = fastEMA, slowEMA=slowEMA, signalEMA=signalEMA)
        diff_5 = Macd_5[0]
        dea_5 = Macd_5[1]
        macd_5 = pd.Series(Macd_5[2]).fillna(0)
        macd_5 = macd_5.values*2  # TA的macd算法未乘以2

        Macd_15 = TA.MACD(r, fastEMA = fastEMA, slowEMA=slowEMA, signalEMA=signalEMA)
        diff_15 = Macd_15[0]
        dea_15 = Macd_15[1]
        macd_15 = pd.Series(Macd_15[2]).fillna(0)
        macd_15 = macd_15.values*2  # TA的macd算法未乘以2

        RSI = TA.RSI(records_5, period = rsi_period)
        nowdea_5 = dea_5[-1]
        nowdiff_5 = diff_5[-1]
        nowmacd_5 = macd_5[-1]
        if len(macd_15) > 2:
            nowmacd_15 = macd_15[-1]
        nowrsi = RSI[-1]
        
        predea_5 = dea_5[-2]
        prediff_5 = diff_5[-2]
        premacd_5 = macd_5[-2]
        if len(macd_15) > 2:
            premacd_15 = macd_15[-2]
        prersi = RSI[-2]
        #Log('K线长度',len(r),'dea_5',len(dea_5),'rsi',len(RSI),preBarTime_1)
            
            

        if len(macd_15)>0:        
            #Log(time.strftime("%Y-%m-%d %H:%M:%S",  time.localtime(int(records_5[-1]['Time'])/1000)),_D(),macd_15[-1])
            pass
        
        #r = records_5
        #m = records_15
        arr_ = [r,m]        

        #Log(index_2)
        index_2 = index_2.copy()
        #index_2 = index_2.tolist()
        for i in range(len(arr_)):  # i 是k线周期循环

            #Log(runTime['arrKIndex'])
            for j in range(len(arr_[i])):  # 时间周期循环
                #Log(arr_[i][j]["Time"],runTime['preBarTime_1'][i])
                if arr_[i][j]["Time"] == runTime['preBarTime_1'][i]:  # preBarTime初始为0
                    if i == 0:  #5分钟 #index_2 0 8
                        chart.add(int(index_2[x]), [arr_[i][j]["Time"], arr_[i][j]["Open"], arr_[i][j]["High"], arr_[i][j]["Low"], arr_[i][j]["Close"]], -1)  # 选出不同周期K线的index
                        #Log(1,int(index_2[i]))
                    if i == 0 and len(arr_[i]) > _5_lengh:
                        #Log(2)
                        if j == len(arr_[i]) - 2:
                            #Log(3)
                            chart.add(int(index_2[x]) + 1, [arr_[i][j]["Time"], arr_[i][j]["Volume"]],-1)  
                            chart.add(int(index_2[x]) + 2, [arr_[i][j]["Time"], prersi], -1)    # 快线
                            chart.add(int(index_2[x]) + 3, [arr_[i][j]["Time"], prediff_5], -1)    # 慢线
                            chart.add(int(index_2[x]) + 4, [arr_[i][j]["Time"], predea_5], -1)
                            chart.add(int(index_2[x]) + 5, [arr_[i][j]["Time"], premacd_5], -1)
                        elif j == len(arr_[i]) - 1:
                            #Log(4,int(index_2[i]))
                            chart.add(int(index_2[x]) + 1, [arr_[i][j]["Time"], arr_[i][j]["Volume"]],-1)  
                            #Log(4.1)
                            chart.add(int(index_2[x]) + 2, [arr_[i][j]["Time"], nowrsi], -1)    # 快线
                            #Log(4.2)
                            chart.add(int(index_2[x]) + 3, [arr_[i][j]["Time"], nowdiff_5], -1)    # 慢线
                            #Log(4.3)
                            chart.add(int(index_2[x]) + 4, [arr_[i][j]["Time"], nowdea_5], -1)
                            #Log(4.4)
                            chart.add(int(index_2[x]) + 5, [arr_[i][j]["Time"], nowmacd_5], -1)
                            #Log(4.5)
                    '''
                    if i == 1 and len(arr_[i]) > _15_lengh:
                        if j == len(arr_[i]) - 2:
                            chart.add(index_2 + 8, [arr_[i][j]["Time"], premacd_15], -1)    # 快线
                        elif j == len(arr_[i]) - 2:
                            chart.add(index_2 + 8, [arr_[i][j]["Time"], nowmacd_15], -1)    # 快线
                    '''
                elif arr_[i][j]["Time"] > runTime['preBarTime_1'][i]:  # 初始运行此处  每个5,15分钟运行两次
                    
                    if i ==1:
                        pass
                        
                        #Log(time.strftime("%Y-%m-%d %H:%M:%S",  time.localtime(int(arr_[i][j]["Time"])/1000)),time.strftime("%Y-%m-%d %H:%M:%S",  time.localtime(int(runTime['preBarTime_1'][i])/1000)),'//',i)
                    runTime['preBarTime_1'][i] = arr_[i][j]["Time"]  # K线时间赋值给preBarTime
                    Log(runTime['preBarTime_1'][0],runTime['preBarTime_1'][1])
                    # 0 7 8 15
                    chart.add(int(runTime['arrKIndex'][x]), [arr_[i][j]["Time"], arr_[i][j]["Open"], arr_[i][j]["High"], arr_[i][j]["Low"], arr_[i][j]["Close"]])
                    if i ==0 and len(arr_[i]) > _5_lengh:
                        #Log('i=0',int(runTime['arrKIndex'][x]))
                        if j == len(arr_[i]) - 1:
                            chart.add(int(index_2[x]) + 1, [arr_[i][j]["Time"], arr_[i][j]["Volume"]])
                            chart.add(int(index_2[x]) + 2, [arr_[i][j]["Time"], nowrsi])
                            chart.add(int(index_2[x]) + 3, [arr_[i][j]["Time"], nowdiff_5])
                            chart.add(int(index_2[x]) + 4, [arr_[i][j]["Time"], nowdea_5])
                            chart.add(int(index_2[x]) + 5, [arr_[i][j]["Time"], nowmacd_5])
                    
                    if i == 1 and len(arr_[i]) > _15_lengh:
                        Log('i=1',int(index_2[x]) + 7)
                        if j == len(arr_[i]) - 1:
                            chart.add(int(index_2[x]) + 7, [arr_[i][j]["Time"], nowmacd_5])

def main():
    """
    """
    global preBarTime_1,macd_15,runTime,_5_lengh,_15_lengh,shortChart,longChart,chart0,chart1,chart2,hart1
    if exchange.GetName().find("CTP") == -1:
        raise Exception("只支持商品期货CTP")
    SetErrorFilter("login|ready|流控|连接失败|初始|Timeout")
    mode = exchange.IO("mode", 0)
    if mode is None:
        raise Exception("切换模式失败,请更新到最新托管者!")
    while not exchange.IO("status"):
        Sleep(3000)
        LogStatus("正在等待与交易服务器连接," + _D())
    positions = _C(exchange.GetPosition)  # 获取当前持仓信息字典
    if len(positions) > 0:
        Log("检测到当前持有仓位,系统将开始尝试恢复进度...")
        Log("持仓信息:", positions)


    tts = []  # 
    arrChart_1 = []  # 图表数组
    arrChart_2 = []
    index_ = 0  # 
    index_2 = []
    arrKIndex = []
    a = []
    b = []
    c = []
    d = []

    #while True:
    #Log(1)
    symbolFilter = {}  # 过滤用数组
    arr = Instruments.split(",")  # 合约列表
    for i in range(len(arr)):  # 遍历合约列表
        symbol = re.sub(r'/\s+$/g', "", re.sub(r'/^\s+/g', "", arr[i]))  # 规整合约字符串
        if symbol in symbolFilter.keys():  # 如果 在过滤数组中 存在 名为 symbol的属性,则显示信息 并跳过。
            raise Exception(symbol + "已经存在,请检查参数!")
        symbolFilter[symbol] = True  # 给过滤数组 添加 名为 symbol 的 keys,下次 同样的 合约代码 会被过滤 保证每个合约只对Manager类方法传入一次参数
        hasPosition = False  # 初始化 hasPosition 变量 false 代表没有持仓 
        for j in range(len(positions)):  # 遍历 获取到的持仓信息
            if positions[j]["ContractType"] == symbol:  # 如果持仓中有合约名等于symbol
                Log('cc')
                hasPosition = True  # 标记 True 持仓
                break  # 跳出
        #fastPeriod = int(arrFastPeriod[i])  # 规整为数值型
        #slowPeriod = int(arrSlowPeriod[i])
        Log(123)
        obj_1 = shortChart #  实例化Manager类
        obj_2 = longChart
        index_2.append(index_)  # 0 8
        index_ += 8 # 长周期的图表index
        
        #tts.append(obj)  # tts列表传入 最终根据合约列表 ,生成了若干个品种的 控制对象储存在tts数组 
        #Log(obj)
        arrChart_1.append(obj_1)   # 在for循环中 依次把图表信息字典传入图表数组
        #arrChart_2.append(obj_2)
        a.append(chart0)
        b.append(chart1)
        c.append(chart2)
        d.append(hart1)
        Log(len(arrChart_1))
        Log(111 if arrChart_1[0]==shortChart else 000)
        #arrChart_2.append(obj.longChart)
    # 创建图表对象
    #chart = Chart([arrChart_1, arrChart_2])  # __isStock" : True表示是highstock图,False表示是highcharts图 使用多图表对象,转为二维数组
    #chart = Chart([arrChart_1,arrChart_2])
    chart = Chart([a,b,c,d])
    #Log(len(arrChart_1),len(arrChart_2))
    index_2 = np.array(index_2)
    chart.reset()  # 清空上次轮询的图表数据

    while True:
        #c = Chart(shortChart)
        preTicker = None
        #while True:
        #Log(1)
        if exchange.IO('status'):
            LogStatus(_D(),'已经连接')
            #t = exchange.GetTicker()
            plot(arr,_5_lengh,_15_lengh,index_2,runTime,chart)
        Sleep(1000)                      
        ''' 
        if i ==0:
            if signals['buy_sell_sig'+str(trueSymbol)] ==1:
                Log(1)
                #ext.PlotFlag(r[-2]['Time'],'开多','L','circlepin','K')
                chart.add(index_2 + 6, [arr_[i][j]["Time"], {'X':arr_[i][j]["Time"],'title':'L','text':'开多'}])
                signals['buy_sell_sig'+str(trueSymbol)] =0
            if signals['buy_sell_sig'+str(trueSymbol)] ==2:
                Log(2)
                #ext.PlotFlag(r[-2]['Time'],'开空','S','circlepin','K')
                chart.add(index_2 + 6, [arr_[i][j]["Time"], {'X':arr_[i][j]["Time"],'title':'S','text':'开空'}])
                signals['buy_sell_sig'+str(trueSymbol)] =0
            if signals['buy_sell_sig'+str(trueSymbol)] ==3:
                Log(3)
                #ext.PlotFlag(r[-2]['Time'],'平多','UL','circlepin','K')
                chart.add(index_2 + 6, [arr_[i][j]["Time"], {'X':arr_[i][j]["Time"],'title':'UL','text':'平多'}])
                signals['buy_sell_sig'+str(trueSymbol)] =0
            if signals['buy_sell_sig'+str(trueSymbol)] ==4:
                Log(4)
                #ext.PlotFlag(r[-2]['Time'],'平空','US','circlepin','K')
                chart.add(index_2 + 6, [arr_[i][j]["Time"], {'X':arr_[i][j]["Time"],'title':'US','text':'平空'}])
                signals['buy_sell_sig'+str(trueSymbol)] =0

        '''

                    #index_1 += 9  # 短周期的图表index

        

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小小梦 这个图表画的挺好,牛啤!熟悉的挺快的,加油! 貌似策略缺少了个参数: Instruments 这个合约列表字符串缺少了。