From 87dd53c9220ebb7a8eedc68d13967dd5d1fe44cd Mon Sep 17 00:00:00 2001
From: Redsandy <34872843+Redsandyg@users.noreply.github.com>
Date: Sat, 23 Apr 2022 20:28:33 +0300
Subject: [PATCH] Delete Ind_bollingerBands.py

---
 Ind_bollingerBands.py | 109 ------------------------------------------
 1 file changed, 109 deletions(-)
 delete mode 100644 Ind_bollingerBands.py

diff --git a/Ind_bollingerBands.py b/Ind_bollingerBands.py
deleted file mode 100644
index da9ef81..0000000
--- a/Ind_bollingerBands.py
+++ /dev/null
@@ -1,109 +0,0 @@
-import pandas as pd
-import datetime
-import numpy as np
-import plotly as pl
-import plotly.graph_objs as go
-import matplotlib.pyplot as plt
-import math
-import scipy
-import random
-import statistics 
-
-
-import datetime 
-import matplotlib.dates as mdates
-import matplotlib.pyplot as plt
-
-import mplfinance as mpf
-
-import plotly
-#import plotly.plotly as py
-import plotly.graph_objs as go
-# these two lines allow your code to show up in a notebook
-from plotly.offline import init_notebook_mode, iplot
-from plotly.subplots import make_subplots
-init_notebook_mode()
-
-import CoreTraidMath 
-import CoreDraw
-
-
-class BB:
-
-    def __init__(self, base_df,options={}, needFig=False,showOnlyIndex=True,drawFig=False):
-        self.base_df=base_df.reset_index(drop=True)
-        self.options=options
-        self.ans=self.getAns()
-        if needFig:
-            self.fig=self.pltShow(showOnlyIndex,drawFig)
-            
-            
-    
-    def getAns(self):
-        ans={}
-        
-        opMA={'dataType':'ohcl',
-            'action':'findMean',
-            'actionOptions':{
-                'MeanType':self.options['MeanType'],
-                'valueType':self.options['valueType'],
-                'window':self.options['window']
-            }
-        }
-        ans['BB']=CoreTraidMath.CoreMath(self.base_df,opMA).ans
-        opSTD={'dataType':'ohcl',
-            'action':'findSTD',
-            'actionOptions':{'valueType':self.options['valueType'],'window':self.options['window']}
-        }
-        ans['STD']=CoreTraidMath.CoreMath(self.base_df,opSTD).ans
-        ans['pSTD']=ans['BB']+ans['STD']*self.options['kDev']
-        ans['mSTD']=ans['BB']-ans['STD']*self.options['kDev']
-        ans['x']=np.array(self.base_df['date'][self.options['window']-1:].to_list())
-        return ans
-    
-    def pltShow(self,showOnlyIndex,drawFig):
-        ans=None
-        req=[]
-        row=1
-        if not showOnlyIndex:
-            
-            #row=2
-            req.append({
-                'vtype':'OCHL',
-                'df':self.base_df,
-                'row':1,
-                'col':1,
-                'name':'OHCL'
-
-            })
-        req.append({
-            'vtype':'Scatter',
-            'df':pd.DataFrame(
-                {'value':self.ans['BB'],'date':self.ans['x']}) ,
-            'row':row,
-            'col':1,
-            'name':'BB'
-            
-        })
-        req.append({
-            'vtype':'Scatter',
-            'df':pd.DataFrame(
-                {'value':self.ans['pSTD'],'date':self.ans['x']}) ,
-            'row':row,
-            'col':1,
-            'name':'pSTD'
-            
-        })
-        req.append({
-            'vtype':'Scatter',
-            'df':pd.DataFrame(
-                {'value':self.ans['mSTD'],'date':self.ans['x']}) ,
-            'row':row,
-            'col':1,
-            'name':'mSTD'
-            
-        })
-        
-        self.figDict=req
-        ans = CoreDraw.coreDraw(req,drawFig)
-        return ans
\ No newline at end of file