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confer.py
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confer.py
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import sys
# sys.path.append("..")
# import login as api
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QAxContainer import *
from PyQt5.QtCore import *
from PyQt5.QtWebEngineWidgets import *
from PyQt5 import uic
from PyQt5.QtCore import QUrl
import sqlite3
import numpy as np
import pandas as pd
import plotly.offline as po
import plotly.graph_objs as go
from datetime import datetime
#index
#from ta import *
import talib as ta
# from IPython.display import IFrame
main_ui = uic.loadUiType("Pytrader.ui")[0]
login_ui = uic.loadUiType("login.ui")[0]
#login diagram
# class LogInDialog(QDialog,login_ui):
# def __init__(self,parent=None):
# QDialog.__init__(self, parent)
# #super().__init__()
# self.setupUi(self)
# self.id = None
# self.pw1 = None
# self.pw2 = None
# self.login = False;
# self.login_btn.clicked.connect(self.login_btnClicked)
#
# def login_btnClicked(self):
# self.id = self.id_val.text()
# self.pw1 = self.pw1_val.text()
# self.pw2 = self.pw2_val.text()
# api.login(self.id, self.pw1, self.pw2)
# self.close()
#main window
class MyWindow(QMainWindow, main_ui):
def __init__(self):
super().__init__()
self.setupUi(self)
self.statusBar = QStatusBar(self)
self.setStatusBar(self.statusBar)
#api connect
# api 값
CLSID1 = '{08E39D09-206D-43D1-AC78-D1AE3635A4E9}'
#A : api , B : btn
self.account_A = QAxWidget(CLSID1)
self.account_A.ReceiveData.connect(self.account_A_receive)
self.account_B.clicked.connect(self.account_btn_clicked)
#주식보유
self.mystock_A = QAxWidget(CLSID1)
self.mystock_A.ReceiveData.connect(self.mystock_A_receive_mult)
self.mystock_B.clicked.connect(self.mystock_btn_clicked)
#주식리스트
self.stocklist_A = QAxWidget(CLSID1)
self.stocklist_A.ReceiveData.connect(self.stocklist_A_receive)
#login account pw setting
self.login_val = False;
self.Account = str(self.account_A.dynamicCall("GetAccount(int)", 0))
self.account_LE.setText(self.Account)
self.PWcode = self.account_A.dynamicCall("GetEncryptPassword(InputData)", self.pw_LE.text())
#주식잔고
column_headers = ['종목코드', '종목명', '보유수량', '매입평균', '현재가', '평가손익', '수익율']
self.mystock_TB.setColumnCount(len(column_headers))
self.mystock_TB.setHorizontalHeaderLabels(column_headers)
self.mystock_TB.resizeColumnsToContents()
#stock list
#self.stocklist_TB = QTableWidget()
self.listCode = False
column_headers = ['종목명', '등락률', '현재가', '거래량', '거래대금','PER' ,'거래량대비', '체결강도']
self.stocklist_TB.setColumnCount(len(column_headers))
self.stocklist_TB.setHorizontalHeaderLabels(column_headers)
self.stocklist_TB.resizeColumnsToContents()
#최근 변경 셀
self.RCrow = 0
self.RCcol = 0
self.stocklist_TB.cellClicked.connect(self.stocklist_cellDoubleClick)
self.stocklist_TB.cellChanged.connect(self.stocklist_cellChange)
#일봉차트
self.recentcode = 0
self.daychart_A = QAxWidget(CLSID1)
self.daychart_A.ReceiveData.connect(self.daychart_A_receive_mult)
# 분봉차트
self.minchart_A = QAxWidget(CLSID1)
self.minchart_A.ReceiveData.connect(self.minchart_A_receive_mult)
self.minchart_LE.returnPressed.connect(self.changeminchart)
self.minsize = 0
self.mincandle_Data = {'Date': [], 'Open': [], 'High': [], 'Low': [], 'Close': [], 'Vol': []}
def true_strength_index(self,df, r, s):
"""Calculate True Strength Index (TSI) for given data.
:param df: pandas.DataFrame
:param r:
:param s:
:return: pandas.DataFrame
"""
M = pd.Series(df.diff(1))
aM = abs(M)
EMA1 = pd.Series(M.ewm(span=r, min_periods=r).mean())
aEMA1 = pd.Series(aM.ewm(span=r, min_periods=r).mean())
EMA2 = pd.Series(EMA1.ewm(span=s, min_periods=s).mean())
aEMA2 = pd.Series(aEMA1.ewm(span=s, min_periods=s).mean())
TSI = pd.Series(EMA2 / aEMA2, name='TSI_' + str(r) + '_' + str(s))
# df = df.join(TSI)
# return df
return TSI
def stocklist_cellDoubleClick(self,row,col):
if (self.stocklist_TB.item(row, col) is None):
return
if (len(self.stocklist_TB.item(row, col).text()) is 0):
return
self.RCrow = row
self.RCcol = col
con = sqlite3.connect("c:/Users/kdy/stock.db")
cursor = con.cursor()
stockcode = []
cursor.execute("SELECT * FROM Kosdaq_info WHERE Name = ?;", [self.stocklist_TB.item(row, col).text()])
stockcode = cursor.fetchall()
if (len(stockcode) is 0):
cursor.execute("SELECT * FROM Kospi_info WHERE Name = ?;", [self.stocklist_TB.item(row, col).text()])
stockcode = cursor.fetchall()
if (len(stockcode) is 0):
cursor.execute("SELECT * FROM Konex_info WHERE Name = ?;", [self.stocklist_TB.item(row, col).text()])
stockcode = cursor.fetchall()
if(len(stockcode) is not 0):
self.recentcode = stockcode[0][1]
self.daychart_A.dynamicCall("SetSingleDataEx(int,int, InputData)", 0, 0, "J")
self.daychart_A.dynamicCall("SetSingleDataEx(int,int, InputData)", 0, 1, stockcode[0][1])
self.daychart_A.dynamicCall("SetSingleDataEx(int,int, InputData)",1, 0, "J")
self.daychart_A.dynamicCall("SetSingleDataEx(int,int, InputData)",1, 1, stockcode[0][1])
self.daychart_A.dynamicCall("RequestData(QString)", "KST03010100")
self.minsize = 0
self.mincandle_Data = {'Date': [], 'Open': [], 'High': [], 'Low': [], 'Close': [], 'Vol': []}
self.minchart_A.dynamicCall("SetSingleData(int, InputData)", 0, "J")
self.minchart_A.dynamicCall("SetSingleData(int, InputData)", 1, stockcode[0][1])
self.minchart_A.dynamicCall("SetSingleData(int, InputData)", 2, str(int(self.minchart_LE.text()) * 60))
self.minchart_A.dynamicCall("SetSingleData(int, InputData)", 3 ,'Y')
self.minchart_A.dynamicCall("RequestData(QString)", "PST01010300")
def changeminchart(self):
if(self.minchart_LE.text().isdecimal()):
self.minsize = 0
self.mincandle_Data = {'Date': [], 'Open': [], 'High': [], 'Low': [], 'Close': [], 'Vol': []}
self.minchart_A.dynamicCall("SetSingleData(int, InputData)", 0, "J")
self.minchart_A.dynamicCall("SetSingleData(int, InputData)", 1, self.recentcode)
self.minchart_A.dynamicCall("SetSingleData(int, InputData)", 2, str(int(self.minchart_LE.text()) * 60))
self.minchart_A.dynamicCall("SetSingleData(int, InputData)", 3, 'Y')
self.minchart_A.dynamicCall("RequestData(QString)", "PST01010300")
def get_html(self, fig):
raw_html = '<html><head><meta charset="utf-8" />'
raw_html += '<script src="https://cdn.plot.ly/plotly-latest.min.js"></script></head>'
raw_html += '<body>'
raw_html += po.plot(fig, include_plotlyjs=False, output_type='div')
raw_html += '</body></html>'
# setHtml has a 2MB size limit, need to switch to setUrl on tmp file
# for large figures.
self.chart1_1.setHtml(raw_html)
self.chart1_1.show()
self.chart1_1.raise_()
return self.chart1_1
def get_html2(self, fig):
raw_html = '<html><head><meta charset="utf-8" />'
raw_html += '<script src="https://cdn.plot.ly/plotly-latest.min.js"></script></head>'
raw_html += '<body>'
raw_html += po.plot(fig, include_plotlyjs=False, output_type='div')
raw_html += '</body></html>'
# setHtml has a 2MB size limit, need to switch to setUrl on tmp file
# for large figures.
self.chart1_2.setHtml(raw_html)
self.chart1_2.show()
self.chart1_2.raise_()
return self.chart1_2
def minchart_A_receive_mult(self):
self.minsize += 1
if (self.minsize < 15):
blk = 0
nRecCount = self.minchart_A.dynamicCall("GetMultiRecordCount(int)", blk)
for j in range(nRecCount):
idx = j
date = self.minchart_A.dynamicCall("GetMultiData(int,int,int,int)", blk, idx, 0, 0)
hour = self.minchart_A.dynamicCall("GetMultiData(int,int,int,int)", blk, idx, 1, 0)
self.mincandle_Data['Date'].append(date[0:4] + '-' + date[4:6] + '-' + date[6:8] + '::' + hour[0:2] + ':' + hour[2:4])
self.mincandle_Data['Open'].append(self.minchart_A.dynamicCall("GetMultiData(int,int,int,int)", blk, idx, 3, 0))
self.mincandle_Data['High'].append(self.minchart_A.dynamicCall("GetMultiData(int,int,int,int)", blk, idx, 4, 0))
self.mincandle_Data['Low'].append(self.minchart_A.dynamicCall("GetMultiData(int,int,int,int)", blk, idx, 5, 0))
self.mincandle_Data['Close'].append(self.minchart_A.dynamicCall("GetMultiData(int,int,int,int)", blk, idx, 2, 0))
self.mincandle_Data['Vol'].append(self.minchart_A.dynamicCall("GetMultiData(int,int,int,int)", blk, idx, 7, 0))
print(self.minsize)
self.minchart_A.dynamicCall("RequestNextData()")
else:
df = pd.DataFrame(self.mincandle_Data)
print(df)
df = df[::-1]
df['Open'] = pd.to_numeric(df['Open'])
df['High'] = pd.to_numeric(df['High'])
df['Close'] = pd.to_numeric(df['Close'])
df['Low'] = pd.to_numeric(df['Low'])
df['Vol'] = pd.to_numeric(df['Vol'])
"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
chart indicator 생성
"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
df['MA5'] = ta.SMA(df['Close'], timeperiod=5)
df['MA20'] = ta.SMA(df['Close'], timeperiod=20)
df['MA60'] = ta.SMA(df['Close'], timeperiod=60)
df['MA120'] = ta.SMA(df['Close'], timeperiod=120)
adx_period = 26
df['ADX'] = ta.ADX(df['High'], df['Low'], df['Close'], timeperiod=adx_period)
df['PDI'] = ta.PLUS_DI(df['High'], df['Low'], df['Close'], timeperiod=adx_period)
df['MDI'] = ta.MINUS_DI(df['High'], df['Low'], df['Close'], timeperiod=adx_period)
# fastk, fastd = ta.STOCHRSI(df['Close'], timeperiod=14, fastk_period=3, fastd_period=3, fastd_matype=0)
# df['stofastk'] = fastk
# df['stofastd'] = fastd
df['OBV'] = ta.OBV(df['Close'], df['Vol'])
rsi_period = 13
df['RSI'] = ta.RSI(df['Close'], timeperiod=rsi_period)
rsi_signal = 13
RSI_S = df['RSI'].rolling(window=rsi_signal).mean()
df.insert(len(df.columns), "RSI_S", RSI_S)
try:
df['TSI'] = self.true_strength_index(df['Close'], r=20, s=7)
except Exception as ex:
print(ex)
"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
chart range 1/4 생성
"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
max_p = df['High'].max()
min_p = df['Low'].min()
p4_1 = min_p
p4_2 = p4_1 + ((max_p - min_p) / 4)
p4_3 = (min_p + max_p) / 2
p4_4 = p4_3 + ((max_p - min_p) / 4)
p4_5 = max_p
trace = go.Candlestick(
# x=dates ,
x=df['Date'],
open=df['Open'],
high=df['High'],
low=df['Low'],
close=df['Close'],
increasing=dict(line=dict(color='#FA5858')),
decreasing=dict(line=dict(color='#58ACFA'))
)
ma5 = go.Scatter(
x=df['Date'],
y=df['MA5'],
mode='lines',
name='ma5',
line=dict(
color=('rgb(255, 0, 0)'),
width=1)
)
ma20 = go.Scatter(
x=df['Date'],
y=df['MA20'],
mode='lines',
name='ma20',
line=dict(
color=('rgb(0, 0, 0)'),
width=1)
)
ma60 = go.Scatter(
x=df['Date'],
y=df['MA60'],
mode='lines',
name='ma60',
line=dict(
color=('rgb(0, 0, 120)'),
width=1)
)
ma120 = go.Scatter(
x=df['Date'],
y=df['MA120'],
mode='lines',
name='ma60',
line=dict(
color=('rgb(0, 255, 0)'),
width=1)
)
ADX_adx = go.Scatter(
x=df['Date'],
y=df['ADX'],
mode='lines',
name='adx',
line=dict(
color=('rgb(0, 0, 0)'),
width=2),
yaxis="y2"
)
ADX_pdi = go.Scatter(
x=df['Date'],
y=df['PDI'],
mode='lines',
name='PDI',
line=dict(
color=('rgb(255, 0, 0)'),
width=2),
yaxis="y2"
)
ADX_mdi = go.Scatter(
x=df['Date'],
y=df['MDI'],
mode='lines',
name='MDI',
line=dict(
color=('rgb(0, 0, 255)'),
width=2),
yaxis="y2"
)
RSI = go.Scatter(
x=df['Date'],
y=df['RSI'],
mode='lines',
name='RSI',
line=dict(
color=('rgb(255, 120, 0)'),
width=1),
yaxis="y3"
)
RSI_S = go.Scatter(
x=df['Date'],
y=df['RSI_S'],
mode='lines',
name='RSI',
line=dict(
color=('rgb(0, 120, 120)'),
width=1),
yaxis="y3"
)
TSI = go.Scatter(
x=df['Date'],
y=df['TSI'],
mode='lines',
name='TSI',
line=dict(
color=('rgb(200, 120, 120)'),
width=1),
yaxis="y4"
)
# STORSI_K = go.Scatter(
# x=df['Date'],
# y=df['stofastk'],
# mode='lines',
# name='stofastk',
# line=dict(
# color=('rgb(200, 120, 120)'),
# width=1),
# yaxis="y5"
# )
# STORSI_D = go.Scatter(
# x=df['Date'],
# y=df['stofastd'],
# mode='lines',
# name='stofastd',
# line=dict(
# color=('rgb(120, 120, 200)'),
# width=1),
# yaxis="y5"
# )
OBV = go.Scatter(
x=df['Date'],
y=df['OBV'],
mode='lines',
name='OBV',
line=dict(
color=('rgb(120, 120, 200)'),
width=1),
yaxis="y5"
)
data = [trace, ma5, ma20, ma60, ma120, ADX_adx, ADX_pdi, ADX_mdi, RSI, RSI_S, TSI, OBV]
layout = go.Layout(
margin=go.layout.Margin(
l=40,
r=0,
b=0,
t=0,
pad=0
),
xaxis=dict(
domain=[0, 1],
rangeslider=dict(
visible=False
),
showline=True,
showticklabels=False,
type='category'
),
yaxis=dict(
scaleanchor="x",
domain=[0.6, 1],
# tickmode='linear',
# ticks='outside',
# showticklabels=True,
# tickfont=dict(
# family='Old Standard TT, serif',
# size=14,
# color='black'
# ),
showline=True
),
# adx
yaxis2=dict(
scaleanchor="x",
range=[5, 60],
domain=[0.45, 0.6],
showline=True
),
# rsi
yaxis3=dict(
scaleanchor="x",
range=[10, 100],
domain=[0.3, 0.45],
showline=True
),
yaxis4=dict(
scaleanchor="x",
# range=[10, 100],
domain=[0.15, 0.3],
showline=True
),
yaxis5=dict(
scaleanchor="x",
# range=[10, 100],
domain=[0.07, 0.15],
showline=True
),
shapes=[
dict(
type='line',
xref='x1',
yref='y3',
x0=df['Date'][0],
x1=df['Date'][len(df['Date']) - 1],
y0=80,
y1=80,
line=dict(
color=('rgb(255, 120, 0)'),
width=1
)
),
dict(
type='line',
xref='x1',
yref='y3',
x0=df['Date'][0],
x1=df['Date'][len(df['Date']) - 1],
y0=20,
y1=20,
line=dict(
color=('rgb(255, 120, 0)'),
width=1
)
),
dict(
type='line',
xref='x1',
yref='y3',
x0=df['Date'][0],
x1=df['Date'][len(df['Date']) - 1],
y0=10,
y1=10,
line=dict(
color=('rgb(0, 0, 0)'),
width=2
)
),
dict(
type='line',
xref='x1',
yref='y3',
x0=df['Date'][0],
x1=df['Date'][len(df['Date']) - 1],
y0=100,
y1=100,
line=dict(
color=('rgb(0, 0, 0)'),
width=2
)
),
dict(
type='line',
xref='x1',
yref='y2',
x0=df['Date'][0],
x1=df['Date'][len(df['Date']) - 1],
y0=60,
y1=60,
line=dict(
color=('rgb(0, 0, 0)'),
width=2
)
),
# 1/4선
dict(
type='line',
xref='x1',
yref='y1',
x0=df['Date'][0],
x1=df['Date'][len(df['Date']) - 1],
y0=p4_1,
y1=p4_1,
line=dict(
color=('rgb(0, 0, 0)'),
width=1
)
),
dict(
type='line',
xref='x1',
yref='y1',
x0=df['Date'][0],
x1=df['Date'][len(df['Date']) - 1],
y0=p4_2,
y1=p4_2,
line=dict(
color=('rgb(0, 0, 0)'),
width=1
)
),
dict(
type='line',
xref='x1',
yref='y1',
x0=df['Date'][0],
x1=df['Date'][len(df['Date']) - 1],
y0=p4_3,
y1=p4_3,
line=dict(
color=('rgb(0, 0, 0)'),
width=1
)
),
dict(
type='line',
xref='x1',
yref='y1',
x0=df['Date'][0],
x1=df['Date'][len(df['Date']) - 1],
y0=p4_4,
y1=p4_4,
line=dict(
color=('rgb(0, 0, 0)'),
width=1
)
),
dict(
type='line',
xref='x1',
yref='y1',
x0=df['Date'][0],
x1=df['Date'][len(df['Date']) - 1],
y0=p4_5,
y1=p4_5,
line=dict(
color=('rgb(0, 0, 0)'),
width=1
)
)
],
showlegend=False
)
fig = go.Figure(data=data, layout=layout)
# raw_html = self.show_qt(fig)
self.chart1_2 = self.get_html2(fig)
def daychart_A_receive_mult(self):
error_code = self.daychart_A.dynamicCall("GetReqMsgCode()")
error_message = self.daychart_A.dynamicCall("GetReqMessage()")
self.error_L.setText(error_code + " " + error_message)
candle_Data ={'Date': [], 'Open':[],'High':[],'Low':[],'Close':[], 'Vol':[]}
#candle_Data = { 'Open': [], 'High': [], 'Low': [], 'Close': [], 'Vol': []}
#dates =[]
blk = 1
nRecCount = self.daychart_A.dynamicCall("GetMultiRecordCount(int)", blk)
# print(nRecCount)
for j in range(nRecCount):
idx = nRecCount - 1 - j
date = self.daychart_A.dynamicCall("GetMultiData(int,int,int,int)", blk, idx, 0, 0)
#val = datetime(year=int(date[0:4]), month=int(date[4:6]), day=int(date[6:8])),
candle_Data['Date'].append(date[0:4]+'-'+date[4:6]+'-'+date[6:8])
#dates.append(val)
candle_Data['Open'].append(self.daychart_A.dynamicCall("GetMultiData(int,int,int,int)", blk, idx, 2, 0))
candle_Data['High'].append(self.daychart_A.dynamicCall("GetMultiData(int,int,int,int)", blk, idx, 3, 0))
candle_Data['Low'].append(self.daychart_A.dynamicCall("GetMultiData(int,int,int,int)", blk, idx, 4, 0))
candle_Data['Close'].append(self.daychart_A.dynamicCall("GetMultiData(int,int,int,int)", blk, idx, 1, 0))
candle_Data['Vol'].append(self.daychart_A.dynamicCall("GetMultiData(int,int,int,int)", blk, idx, 5, 0))
df = pd.DataFrame(candle_Data)
df['Open'] = pd.to_numeric(df['Open'])
df['High'] = pd.to_numeric(df['High'])
df['Close'] = pd.to_numeric(df['Close'])
df['Low'] = pd.to_numeric(df['Low'])
df['Vol'] = pd.to_numeric(df['Vol'])
"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
chart indicator 생성
"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
#real = ta.ADX(df['High'], df['Low'], df['Close'], timeperiod=14)
df['MA5'] = ta.SMA(df['Close'], timeperiod=5)
df['MA20'] = ta.SMA(df['Close'], timeperiod=20)
df['MA60'] = ta.SMA(df['Close'], timeperiod=60)
df['MA120'] = ta.SMA(df['Close'], timeperiod=120)
adx_period = 26
df['ADX'] = ta.ADX(df['High'], df['Low'], df['Close'], timeperiod=adx_period)
df['PDI'] = ta.PLUS_DI(df['High'], df['Low'], df['Close'], timeperiod=adx_period)
df['MDI'] = ta.MINUS_DI(df['High'], df['Low'], df['Close'], timeperiod=adx_period)
#fastk, fastd = ta.STOCHRSI(df['Close'], timeperiod=14, fastk_period=3, fastd_period=3, fastd_matype=0)
# df['stofastk'] = fastk
# df['stofastd'] = fastd
df['OBV'] = ta.OBV(df['Close'], df['Vol'])
rsi_period = 13
df['RSI'] = ta.RSI(df['Close'], timeperiod=rsi_period)
rsi_signal = 13
RSI_S = df['RSI'].rolling(window=rsi_signal).mean()
df.insert(len(df.columns), "RSI_S", RSI_S)
try:
df['TSI'] = self.true_strength_index(df['Close'], r=20, s=7)
except Exception as ex:
print(ex)
# df['TSI'] = true_strength_index(df['Close'], r=25, s=13)
# df['ma20'] = ta.SMA(np.asarray(df['close']), 20)
# df['ma60'] = ta.SMA(np.asarray(df['close']), 60)
# df['ma120'] = ta.SMA(np.asarray(df['close']), 120)
# ma5 = df['Close'].rolling(window=5).mean()
# df.insert(len(df.columns),"MA5",ma5)
# ma20 = df['Close'].rolling(window=20).mean()
# df.insert(len(df.columns), "MA20", ma20)
# ma60 = df['Close'].rolling(window=60).mean()
# df.insert(len(df.columns), "MA60", ma60)
# ma120 = df['Close'].rolling(window=120).mean()
# df.insert(len(df.columns), "MA120", ma120)
"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
chart range 1/4 생성
"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
# mask = (df['Date'] > '2018-6-1') & (df['Date'] <= '2019-5-10')
# print(df.loc[mask])
# print('$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$')
# df = df.set_index(['date'])
# print(df.loc['2019-1-2':'2019-3-10'])
max_p = df['High'].max()
min_p = df['Low'].min()
p4_1 = min_p
p4_2 = p4_1 + ((max_p - min_p) / 4)
p4_3 = (min_p + max_p) / 2
p4_4 = p4_3 + ((max_p - min_p) / 4)
p4_5 = max_p
#print(dates)
#df.to_csv("./test.csv")
# df.to_excel("./test.xlsx")
trace = go.Candlestick(
#x=dates ,
x= df['Date'],
open=df['Open'],
high=df['High'],
low=df['Low'],
close=df['Close'],
increasing=dict(line=dict(color='#FA5858')),
decreasing=dict(line=dict(color='#58ACFA'))
)
ma5 = go.Scatter(
x=df['Date'],
y=df['MA5'],
mode='lines',
name='ma5',
line = dict(
color=('rgb(255, 0, 0)'),
width=1 )
)
ma20 = go.Scatter(
x=df['Date'],
y=df['MA20'],
mode='lines',
name='ma20',
line=dict(
color=('rgb(0, 0, 0)'),
width=1)
)
ma60 = go.Scatter(
x=df['Date'],
y=df['MA60'],
mode='lines',
name='ma60',
line=dict(
color=('rgb(0, 0, 120)'),
width=1)
)
ma120 = go.Scatter(
x=df['Date'],
y=df['MA120'],
mode='lines',
name='ma60',
line=dict(
color=('rgb(0, 255, 0)'),
width=1)
)
ADX_adx = go.Scatter(
x=df['Date'],
y=df['ADX'],
mode='lines',
name='adx',
line=dict(
color=('rgb(0, 0, 0)'),
width=2),
yaxis="y2"
)
ADX_pdi = go.Scatter(
x=df['Date'],
y=df['PDI'],
mode='lines',
name='PDI',
line=dict(
color=('rgb(255, 0, 0)'),
width=2),
yaxis="y2"
)
ADX_mdi = go.Scatter(
x=df['Date'],
y=df['MDI'],
mode='lines',
name='MDI',
line=dict(
color=('rgb(0, 0, 255)'),
width=2),
yaxis="y2"
)
RSI = go.Scatter(
x=df['Date'],
y=df['RSI'],
mode='lines',
name='RSI',
line=dict(
color=('rgb(255, 120, 0)'),
width=1),
yaxis="y3"
)
RSI_S = go.Scatter(
x=df['Date'],
y=df['RSI_S'],
mode='lines',
name='RSI',
line=dict(
color=('rgb(0, 120, 120)'),
width=1),
yaxis="y3"
)
TSI = go.Scatter(
x=df['Date'],
y=df['TSI'],
mode='lines',
name='TSI',
line=dict(
color=('rgb(200, 120, 120)'),
width=1),
yaxis="y4"
)
# STORSI_K = go.Scatter(
# x=df['Date'],
# y=df['stofastk'],
# mode='lines',
# name='stofastk',
# line=dict(
# color=('rgb(200, 120, 120)'),
# width=1),
# yaxis="y5"
# )
# STORSI_D = go.Scatter(
# x=df['Date'],
# y=df['stofastd'],
# mode='lines',
# name='stofastd',
# line=dict(
# color=('rgb(120, 120, 200)'),
# width=1),
# yaxis="y5"
# )
OBV = go.Scatter(
x=df['Date'],
y=df['OBV'],
mode='lines',
name='OBV',
line=dict(
color=('rgb(120, 120, 200)'),
width=1),
yaxis="y5"
)
data = [trace,ma5,ma20,ma60,ma120,ADX_adx,ADX_pdi,ADX_mdi,RSI,RSI_S,TSI,OBV]
layout = go.Layout(
margin=go.layout.Margin(
l=40,
r=0,
b=0,
t=0,
pad=0
),
xaxis=dict(
domain=[0, 1],
rangeslider=dict(
visible=False
),
showline = True,
showticklabels=False,
type = 'category'
),
yaxis=dict(
scaleanchor="x",
domain=[0.6, 1],
# tickmode='linear',
# ticks='outside',
# showticklabels=True,
# tickfont=dict(
# family='Old Standard TT, serif',
# size=14,
# color='black'
# ),
showline=True
),
#adx
yaxis2=dict(
scaleanchor="x",
range=[5, 60],
domain=[0.45, 0.6],
showline=True
),
#rsi
yaxis3=dict(
scaleanchor="x",
range=[10, 100],
domain=[0.3, 0.45],
showline=True
),
yaxis4=dict(
scaleanchor="x",
#range=[10, 100],
domain=[0.15, 0.3],
showline=True
),
yaxis5=dict(
scaleanchor="x",
# range=[10, 100],
domain=[0.07, 0.15],
showline=True
),
shapes=[
dict(
type='line',
xref='x1',
yref='y3',
x0=df['Date'][0],
x1=df['Date'][len(df['Date']) - 1],
y0=80,
y1=80,
line=dict(
color=('rgb(255, 120, 0)'),
width=1
)
),
dict(
type='line',
xref='x1',
yref='y3',
x0=df['Date'][0],
x1=df['Date'][len(df['Date']) - 1],
y0=20,
y1=20,
line=dict(
color=('rgb(255, 120, 0)'),
width=1
)
),
dict(
type='line',
xref='x1',
yref='y3',
x0=df['Date'][0],
x1=df['Date'][len(df['Date']) - 1],
y0=10,
y1=10,
line=dict(
color=('rgb(0, 0, 0)'),
width=2
)
),
dict(
type='line',
xref='x1',
yref='y3',
x0=df['Date'][0],
x1=df['Date'][len(df['Date']) - 1],
y0=100,
y1=100,
line=dict(
color=('rgb(0, 0, 0)'),
width=2
)
),
dict(
type='line',
xref='x1',
yref='y2',
x0=df['Date'][0],
x1=df['Date'][len(df['Date']) - 1],
y0=60,
y1=60,
line=dict(
color=('rgb(0, 0, 0)'),
width=2
)
),
#1/4선
dict(