{ "cells": [ { "cell_type": "code", "execution_count": 2, "id": "5c63d04f", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import datetime\n", "import numpy as np\n", "#import plotly as pl\n", "\n", "#import plotly.graph_objs as go\n", "#from plotly.offline import init_notebook_mode, iplot\n", "#from plotly.subplots import make_subplots\n", "#init_notebook_mode()\n", "\n", "import CoreTraidMath \n", "import CoreDraw\n" ] }, { "cell_type": "code", "execution_count": 3, "id": "1ad5c45d", "metadata": {}, "outputs": [], "source": [ "class coreIndicator():\n", " def __init__(self,\n", " data=pd.DataFrame(),\n", " options={},\n", " showMode='None',\n", " ):\n", " '''\n", " showMode = None/Ind/PartOf \n", " '''\n", " self.data=data\n", " self.showMode=showMode\n", " self.options=options\n", " self.overlayInd=None #True/False\n", " self.ans=None\n", " self.figDict=None\n", " \n", " def getAns(self,data=None):\n", " if type(data)!=type(None):\n", " self.data=data\n", " self.ans=self.getCalculate()\n", " if self.showMode=='Ind' or self.showMode=='PartOf':\n", " self.figDict=self.getFigDict()\n", " if self.showMode=='Ind':\n", " self.getFig()\n", " return self.ans\n", " def getFig(self,row=1):\n", " CoreDraw.coreDraw(self.figDict,True)\n", " def getCalculate(self):\n", " return \"Error\"\n", " def getFigDict(self):\n", " return \"Error\"\n", "\n", "class indicatorAgrigator():\n", " '''\n", " Тема чисто для отладки\n", " jj=indicatorAgrigator().runAll([o1,o2],df_candle[:30])\n", " #jj.createIndFromList([o1,o2])\n", " #jj.calculateInd(df_candle[:30])\n", " \n", " '''\n", " def __init__(self):\n", " self.indList=None\n", " self.data=None\n", " def createInd(self,classDict):\n", " return classDict['name'](\n", " options=classDict['params'],\n", " showMode=classDict['showMode']\n", " )\n", " \n", " \n", " def createIndFromList(self,indList):\n", " self.indList=indList\n", " ans=[]\n", " for i in self.indList:\n", " ans.append(self.createInd(i))\n", " self.indList=ans\n", " return ans\n", " \n", " def calculateInd(self,data):\n", " self.data=data\n", " for i in self.indList:\n", " #i.getAns(data)\n", " i.data=self.data\n", " i.ans=i.getCalculate()\n", " i.figDict=i.getFigDict()\n", " #i.getFig()\n", " def agrigateFig(self):\n", " req=[[]]\n", " \n", " for i in self.indList:\n", " if i.overlayInd==True:\n", " req[0].append(i)\n", " else:\n", " req.append([i])\n", " CoreDraw.agrigateFig(req,True)\n", " def runAll(self,indList,df,needDraw=False):\n", " self.createIndFromList(indList)\n", " self.calculateInd(df)\n", " if needDraw:\n", " self.agrigateFig()\n", "\n", " \n", " " ] }, { "cell_type": "code", "execution_count": 4, "id": "15a63ff4", "metadata": {}, "outputs": [], "source": [ "class ind_BB(coreIndicator):\n", " \n", " def getCalculate(self):\n", " self.overlayInd=True\n", " ans={}\n", " opMA={'dataType':'ohcl',\n", " 'action':'findMean',\n", " 'actionOptions':{\n", " 'MeanType':self.options['MeanType'],\n", " 'valueType':self.options['valueType'],\n", " 'window':self.options['window']\n", " }\n", " }\n", " ans['BB']=CoreTraidMath.CoreMath(self.data,opMA).ans\n", " opSTD={'dataType':'ohcl',\n", " 'action':'findSTD',\n", " 'actionOptions':{'valueType':self.options['valueType'],'window':self.options['window']}\n", " }\n", " ans['STD']=CoreTraidMath.CoreMath(self.data,opSTD).ans\n", " ans['pSTD']=ans['BB']+ans['STD']*self.options['kDev']\n", " ans['mSTD']=ans['BB']-ans['STD']*self.options['kDev']\n", " ans['x']=np.array(self.data['date'][self.options['window']-1:].to_list())\n", " return ans\n", " def getFigDict(self,row=1):\n", " req=[]\n", " \n", " req.append({\n", " 'vtype':'Scatter',\n", " 'df':pd.DataFrame(\n", " {'value':self.ans['BB'],'date':self.ans['x']}) ,\n", " 'row':row,\n", " 'col':1,\n", " 'name':'BB'\n", " \n", " })\n", " req.append({\n", " 'vtype':'Scatter',\n", " 'df':pd.DataFrame(\n", " {'value':self.ans['pSTD'],'date':self.ans['x']}) ,\n", " 'row':row,\n", " 'col':1,\n", " 'name':'pSTD'\n", " \n", " })\n", " req.append({\n", " 'vtype':'Scatter',\n", " 'df':pd.DataFrame(\n", " {'value':self.ans['mSTD'],'date':self.ans['x']}) ,\n", " 'row':row,\n", " 'col':1,\n", " 'name':'mSTD'\n", " \n", " })\n", " \n", " return req" ] }, { "cell_type": "code", "execution_count": 5, "id": "4fcf359d", "metadata": {}, "outputs": [], "source": [ "class ind_OCHL(coreIndicator):\n", " def getCalculate(self):\n", " self.overlayInd=True\n", " def getFigDict(self,row=1):\n", " req=[]\n", " \n", " req.append({\n", " 'vtype':'OCHL',\n", " 'df':self.data,\n", " 'row':1,\n", " 'col':1,\n", " 'name':'OHCL'\n", "\n", " })\n", " return req" ] }, { "cell_type": "code", "execution_count": 7, "id": "f2ff80ce", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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dateopenclosehighlow
02020-09-01 03:00:00+03:001.193701.193881.193911.19368
12020-09-01 03:00:05+03:001.193871.193881.193911.19383
22020-09-01 03:00:10+03:001.193871.193841.193891.19382
32020-09-01 03:00:15+03:001.193841.193841.193861.19382
42020-09-01 03:00:20+03:001.193871.193901.193911.19383
..................
999952020-09-06 21:52:55+03:001.183821.183821.183931.18371
999962020-09-06 21:53:00+03:001.183821.183821.183931.18371
999972020-09-06 21:53:05+03:001.183821.183821.183931.18371
999982020-09-06 21:53:10+03:001.183821.183821.183931.18371
999992020-09-06 21:53:15+03:001.183821.183821.183931.18371
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100000 rows × 5 columns

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" ], "text/plain": [ " date open close high low\n", "0 2020-09-01 03:00:00+03:00 1.19370 1.19388 1.19391 1.19368\n", "1 2020-09-01 03:00:05+03:00 1.19387 1.19388 1.19391 1.19383\n", "2 2020-09-01 03:00:10+03:00 1.19387 1.19384 1.19389 1.19382\n", "3 2020-09-01 03:00:15+03:00 1.19384 1.19384 1.19386 1.19382\n", "4 2020-09-01 03:00:20+03:00 1.19387 1.19390 1.19391 1.19383\n", "... ... ... ... ... ...\n", "99995 2020-09-06 21:52:55+03:00 1.18382 1.18382 1.18393 1.18371\n", "99996 2020-09-06 21:53:00+03:00 1.18382 1.18382 1.18393 1.18371\n", "99997 2020-09-06 21:53:05+03:00 1.18382 1.18382 1.18393 1.18371\n", "99998 2020-09-06 21:53:10+03:00 1.18382 1.18382 1.18393 1.18371\n", "99999 2020-09-06 21:53:15+03:00 1.18382 1.18382 1.18393 1.18371\n", "\n", "[100000 rows x 5 columns]" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_candle = pd.read_csv(\"../data/EURUSD_price_candlestick.csv\")\n", "df_candle.rename(columns={'timestamp': 'date'}, inplace=True)\n", "df_candle" ] }, { "cell_type": "code", "execution_count": 8, "id": "c5df4666", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "linkText": "Export to plot.ly", "plotlyServerURL": "https://plot.ly", "showLink": false }, "data": [ { "close": [ 1.19388, 1.19388, 1.19384, 1.19384, 1.1939, 1.19389, 1.19388, 1.19388, 1.19388, 1.19387, 1.1939, 1.19389, 1.1939, 1.19401, 1.19393, 1.19382, 1.19383, 1.19384, 1.19384, 1.19384, 1.19385, 1.19384, 1.19384, 1.19387, 1.19399, 1.19406, 1.1941, 1.19405, 1.19413, 1.19415, 1.19416, 1.19417, 1.19427, 1.19421, 1.19418, 1.19422, 1.19422, 1.19416, 1.1941, 1.19409, 1.19409, 1.19414, 1.19408, 1.19408, 1.19407, 1.19408, 1.1941, 1.19421, 1.19423, 1.19423, 1.19427, 1.19428, 1.19428, 1.19428, 1.19431, 1.19429, 1.19431, 1.19429, 1.19438, 1.19435, 1.19435, 1.19432, 1.19432, 1.19432, 1.19443, 1.19442, 1.19438, 1.19441, 1.19442, 1.19438, 1.19438, 1.19441, 1.19442, 1.19442, 1.1944, 1.1944, 1.19437, 1.19438, 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "o1={\n", " 'name':ind_OCHL,\n", " 'params':{},\n", " 'showMode':'PartOf',\n", "}\n", "o2={\n", " 'name':ind_BB,\n", " 'params':{'MeanType':'SMA','window':25,'valueType':'low','kDev':2},\n", " 'showMode':'PartOf',\n", "}\n", "jj=indicatorAgrigator().runAll([o1,o2],df_candle[:300],True)\n", "#jj.createIndFromList([o1,o2])\n", "#jj.calculateInd(df_candle[:30])" ] }, { "cell_type": "code", "execution_count": 9, "id": "0c5cf547", "metadata": {}, "outputs": [], "source": [ "op={'MeanType':'SMA','window':5,'valueType':'low','kDev':2}\n", "a=ind_BB(df_candle[:100],op,'PartOf')" ] }, { "cell_type": "code", "execution_count": 10, "id": "460bf9f4", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "{'BB': array([1.193796, 1.193836, 1.193842, 1.193852, 1.193862, 1.193866,\n", " 1.193858, 1.19386 , 1.19386 , 1.19386 , 1.193872, 1.193864,\n", " 1.193852, 1.193838, 1.193828, 1.193812, 1.193816, 1.193818,\n", " 1.193818, 1.19382 , 1.193822, 1.193854, 1.193896, 1.19394 ,\n", " 1.193974, 1.194018, 1.194046, 1.19407 , 1.194102, 1.194136,\n", " 1.194154, 1.19417 , 1.194182, 1.194174, 1.194156, 1.19414 ,\n", " 1.194114, 1.194088, 1.194072, 1.19406 , 1.194046, 1.194042,\n", " 1.194038, 1.194042, 1.194076, 1.194116, 1.194154, 1.194188,\n", " 1.194222, 1.194236, 1.194248, 1.19424 , 1.194246, 1.194248,\n", " 1.194252, 1.194268, 1.19429 , 1.194296, 1.194302, 1.194304,\n", " 1.194298, 1.194314, 1.194326, 1.194336, 1.194356, 1.194364,\n", " 1.194356, 1.194358, 1.194368, 1.19437 , 1.194374, 1.194378,\n", " 1.194376, 1.194368, 1.194356, 1.19435 , 1.194344, 1.19433 ,\n", " 1.194302, 1.194302, 1.194308, 1.194318, 1.194334, 1.194366,\n", " 1.194366, 1.194362, 1.194352, 1.194354, 1.194356, 1.194366,\n", " 1.194372, 1.194384, 1.194392, 1.19441 , 1.19443 , 1.194452]),\n", " 'STD': array([6.50384502e-05, 2.50998008e-05, 2.68328157e-05, 2.58843582e-05,\n", " 1.92353841e-05, 1.14017543e-05, 1.30384048e-05, 1.41421356e-05,\n", " 1.41421356e-05, 1.41421356e-05, 2.48997992e-05, 3.97492138e-05,\n", " 4.60434577e-05, 4.96990946e-05, 4.65832588e-05, 1.30384048e-05,\n", " 1.14017543e-05, 1.09544512e-05, 1.09544512e-05, 1.22474487e-05,\n", " 1.48323970e-05, 7.19722169e-05, 1.02127371e-04, 9.77241014e-05,\n", " 7.73304597e-05, 3.03315018e-05, 4.66904701e-05, 6.40312424e-05,\n", " 7.22495675e-05, 4.82700735e-05, 2.30217289e-05, 2.12132034e-05,\n", " 2.38746728e-05, 3.04959014e-05, 5.22494019e-05, 6.51920241e-05,\n", " 6.10737259e-05, 2.94957624e-05, 8.36660027e-06, 2.34520788e-05,\n", " 3.43511281e-05, 3.19374388e-05, 2.68328157e-05, 3.19374388e-05,\n", " 7.02139587e-05, 7.30068490e-05, 7.92464510e-05, 6.37965516e-05,\n", " 2.58843582e-05, 2.30217289e-05, 1.30384048e-05, 2.54950976e-05,\n", " 2.60768096e-05, 2.68328157e-05, 3.03315018e-05, 5.01996016e-05,\n", " 3.46410162e-05, 3.04959014e-05, 2.38746728e-05, 2.19089023e-05,\n", " 1.09544512e-05, 4.33589668e-05, 4.33589668e-05, 3.84707681e-05,\n", " 3.43511281e-05, 2.40831892e-05, 1.94935887e-05, 1.92353841e-05,\n", " 2.04939015e-05, 2.34520788e-05, 2.07364414e-05, 1.64316767e-05,\n", " 1.94935887e-05, 2.04939015e-05, 1.34164079e-05, 1.22474487e-05,\n", " 5.47722558e-06, 2.82842712e-05, 5.76194412e-05, 5.76194412e-05,\n", " 6.37965516e-05, 7.32802838e-05, 7.16240183e-05, 1.81659021e-05,\n", " 1.81659021e-05, 1.92353841e-05, 1.30384048e-05, 1.51657509e-05,\n", " 1.81659021e-05, 2.07364414e-05, 1.92353841e-05, 1.14017543e-05,\n", " 1.30384048e-05, 3.53553391e-05, 4.74341649e-05, 4.38178046e-05]),\n", " 'pSTD': array([1.19392608, 1.1938862 , 1.19389567, 1.19390377, 1.19390047,\n", " 1.1938888 , 1.19388408, 1.19388828, 1.19388828, 1.19388828,\n", " 1.1939218 , 1.1939435 , 1.19394409, 1.1939374 , 1.19392117,\n", " 1.19383808, 1.1938388 , 1.19383991, 1.19383991, 1.19384449,\n", " 1.19385166, 1.19399794, 1.19410025, 1.19413545, 1.19412866,\n", " 1.19407866, 1.19413938, 1.19419806, 1.1942465 , 1.19423254,\n", " 1.19420004, 1.19421243, 1.19422975, 1.19423499, 1.1942605 ,\n", " 1.19427038, 1.19423615, 1.19414699, 1.19408873, 1.1941069 ,\n", " 1.1941147 , 1.19410587, 1.19409167, 1.19410587, 1.19421643,\n", " 1.19426201, 1.19431249, 1.19431559, 1.19427377, 1.19428204,\n", " 1.19427408, 1.19429099, 1.19429815, 1.19430167, 1.19431266,\n", " 1.1943684 , 1.19435928, 1.19435699, 1.19434975, 1.19434782,\n", " 1.19431991, 1.19440072, 1.19441272, 1.19441294, 1.1944247 ,\n", " 1.19441217, 1.19439499, 1.19439647, 1.19440899, 1.1944169 ,\n", " 1.19441547, 1.19441086, 1.19441499, 1.19440899, 1.19438283,\n", " 1.19437449, 1.19435495, 1.19438657, 1.19441724, 1.19441724,\n", " 1.19443559, 1.19446456, 1.19447725, 1.19440233, 1.19440233,\n", " 1.19440047, 1.19437808, 1.19438433, 1.19439233, 1.19440747,\n", " 1.19441047, 1.1944068 , 1.19441808, 1.19448071, 1.19452487,\n", " 1.19453964]),\n", " 'mSTD': array([1.19366592, 1.1937858 , 1.19378833, 1.19380023, 1.19382353,\n", " 1.1938432 , 1.19383192, 1.19383172, 1.19383172, 1.19383172,\n", " 1.1938222 , 1.1937845 , 1.19375991, 1.1937386 , 1.19373483,\n", " 1.19378592, 1.1937932 , 1.19379609, 1.19379609, 1.19379551,\n", " 1.19379234, 1.19371006, 1.19369175, 1.19374455, 1.19381934,\n", " 1.19395734, 1.19395262, 1.19394194, 1.1939575 , 1.19403946,\n", " 1.19410796, 1.19412757, 1.19413425, 1.19411301, 1.1940515 ,\n", " 1.19400962, 1.19399185, 1.19402901, 1.19405527, 1.1940131 ,\n", " 1.1939773 , 1.19397813, 1.19398433, 1.19397813, 1.19393557,\n", " 1.19396999, 1.19399551, 1.19406041, 1.19417023, 1.19418996,\n", " 1.19422192, 1.19418901, 1.19419385, 1.19419433, 1.19419134,\n", " 1.1941676 , 1.19422072, 1.19423501, 1.19425425, 1.19426018,\n", " 1.19427609, 1.19422728, 1.19423928, 1.19425906, 1.1942873 ,\n", " 1.19431583, 1.19431701, 1.19431953, 1.19432701, 1.1943231 ,\n", " 1.19433253, 1.19434514, 1.19433701, 1.19432701, 1.19432917,\n", " 1.19432551, 1.19433305, 1.19427343, 1.19418676, 1.19418676,\n", " 1.19418041, 1.19417144, 1.19419075, 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "b=ind_OCHL(df_candle[:30],{},'Ind')\n", "b.getAns(df_candle[:100])" ] }, { "cell_type": "code", "execution_count": 12, "id": "62b4ce8c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'BB': array([1.1938365, 1.1938435, 1.193843 , 1.193842 , 1.1938425, 1.193843 ,\n", " 1.193848 , 1.1938565, 1.193864 , 1.1938705, 1.193881 , 1.193895 ,\n", " 1.193909 , 1.1939245, 1.1939395, 1.1939515, 1.1939715, 1.1939915,\n", " 1.1940085, 1.1940215, 1.1940335, 1.194046 , 1.194059 , 1.194072 ,\n", " 1.1940815, 1.1940895, 1.194093 , 1.1940945, 1.1940975, 1.194107 ,\n", " 1.194114 , 1.19412 , 1.194124 , 1.1941275, 1.194132 , 1.1941375,\n", " 1.1941375, 1.19414 , 1.194146 , 1.194156 , 1.1941695, 1.1941815,\n", " 1.194192 , 1.1942035, 1.194217 , 1.1942325, 1.1942495, 1.194264 ,\n", " 1.194277 , 1.194287 , 1.1942945, 1.1943 , 1.1943065, 1.1943135,\n", " 1.1943205, 1.194326 , 1.1943345, 1.194339 , 1.1943435, 1.1943465,\n", " 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