#!/usr/bin/env python
# coding: utf-8
# In[ ]:
# below code to get OHLC of HDFCBANK, SBIN, ICICI
import pandas as pd
import yfinance as yf
import numpy as np
import math
from mplfinance.original_flavor import candlestick_ohlc
import matplotlib.dates as mpl_dates
import matplotlib.pyplot as plt
# In[ ]:
# get stock prices using yfinance library
def get_stock_price(symbol,stDate,endDate):
df = yf.download(symbol, start=stDate,end = endDate, threads= False)
df['Date'] = pd.to_datetime(df.index)
# df['Date'] = df['Date'].apply(mpl_dates.date2num)
df = df.loc[:,['Date', 'Open', 'High', 'Low', 'Close']]
return df
def identifyGAPUPDOWN(startDate,endDate):
symbol = 'HDFCBANK.NS'
df_HDFC = get_stock_price(symbol,startDate,endDate)
symbol = 'ICICIBANK.NS'
df_ICICI = get_stock_price(symbol,startDate,endDate)
symbol = 'SBIN.NS'
df_SBIN = get_stock_price(symbol,startDate,endDate)
symbol = 'KOTAKBANK.NS'
df_KOTAK = get_stock_price(symbol,startDate,endDate)
strState = ""
x = 0
if int(df_KOTAK['Close'][0]) >= int(df_KOTAK['High'][0]):
strState = 'GAP UP'
x = x+1
if int(df_SBIN['Close'][0]) >= int(df_SBIN['High'][0]):
strState = 'GAP UP'
x = x+1
if int(df_HDFC['Close'][0]) >= int(df_HDFC['High'][0]):
strState = 'GAP UP'
x = x+1
if int(df_ICICI['Close'][0]) >= int(df_ICICI['High'][0]):
strState = 'GAP UP'
x = x+1
KOTAK_highClose_PTS = str(int(df_KOTAK['High'][0]) - int(df_KOTAK['Close'][0]))
SBIN_highClose_PTS = str(int(df_SBIN['High'][0]) - int(df_SBIN['Close'][0]))
HDFC_highClose_PTS = str(int(df_HDFC['High'][0]) - int(df_HDFC['Close'][0]))
ICICI_highClose_PTS = str(int(df_ICICI['High'][0]) - int(df_ICICI['Close'][0]))
KOTAK_lowClose_PTS = str(int(df_KOTAK['Close'][0]) - int(df_KOTAK['Low'][0]))
SBIN_lowClose_PTS = str(int(df_SBIN['Close'][0]) - int(df_SBIN['Low'][0]))
HDFC_lowClose_PTS = str(int(df_HDFC['Close'][0]) - int(df_HDFC['Low'][0]))
ICICI_lowClose_PTS = str(int(df_ICICI['Close'][0]) - int(df_ICICI['Low'][0]))
print('x===='+str(x))
print('HDFC_highClose:'+HDFC_highClose_PTS+'---ICICI_highClose:'+ICICI_highClose_PTS+'--SBIN_highClose:'+SBIN_highClose_PTS+'--KOTAK_highClose:'+KOTAK_highClose_PTS)
# y = 1
# if int(df_KOTAK['Close'][0]) >= int(df_KOTAK['Low'][0]):
# strState = 'GAP DOWN'
# y = y+1
# if int(df_SBIN['Close'][0]) >= int(df_SBIN['Low'][0]):
# strState = 'GAP DOWN'
# y = y+1
# if int(df_HDFC['Close'][0]) >= int(df_HDFC['Low'][0]):
# strState = 'GAP DOWN'
# y = y+1
# if int(df_ICICI['Close'][0]) >= int(df_ICICI['Low'][0]):
# strState = 'GAP DOWN'
# y = y+1
# HDFC_highClose:7---ICICI_highClose:3--SBIN_highClose:2--KOTAK_highClose:14
# HDFC_lowClose:12---ICICI_lowClose:7--SBIN_lowClose:3--KOTAK_lowClose:8
print('HDFC_lowClose:'+HDFC_lowClose_PTS+'---ICICI_lowClose:'+ICICI_lowClose_PTS+'--SBIN_lowClose:'+SBIN_lowClose_PTS+'--KOTAK_lowClose:'+KOTAK_lowClose_PTS)
if int(KOTAK_highClose_PTS) <= int(KOTAK_lowClose_PTS) and int(SBIN_highClose_PTS) <= int(SBIN_lowClose_PTS) and int(HDFC_highClose_PTS) <= int(HDFC_lowClose_PTS) and int(ICICI_highClose_PTS) <= int(ICICI_lowClose_PTS):
strState = 'GAP-UP'
if int(KOTAK_highClose_PTS) >= int(KOTAK_lowClose_PTS) and int(SBIN_highClose_PTS) >= int(SBIN_lowClose_PTS) and int(HDFC_highClose_PTS) >= int(HDFC_lowClose_PTS) and int(ICICI_highClose_PTS) >= int(ICICI_lowClose_PTS):
strState = 'GAP-DOWN'
if strState == '':
if int(SBIN_highClose_PTS) <= int(SBIN_lowClose_PTS) and int(HDFC_highClose_PTS) <= int(HDFC_lowClose_PTS) and int(ICICI_highClose_PTS) <= int(ICICI_lowClose_PTS):
strState = 'GAP-UP'
if int(SBIN_highClose_PTS) >= int(SBIN_lowClose_PTS) and int(HDFC_highClose_PTS) >= int(HDFC_lowClose_PTS) and int(ICICI_highClose_PTS) >= int(ICICI_lowClose_PTS):
strState = 'GAP-DOWN'
return 'BANK NIFTY on DATE '+endDate +' is ---->'+strState
# In[56]:
stock_fut = get_history(symbol="SBIN",start=date(2022,3,16),end=date(2022,3,17),futures=True, expiry_date=date(2022,3,31))
stock_fut
# In[58]:
vix = get_history(symbol="INDIAVIX",start=date(2022,3,15),end=date(2022,3,17), index=True)
vix
# In[51]:
from nsepy import get_history
from datetime import date
data = get_history(symbol="BANKNIFTY", start=date(2022,3,17), end=date(2022,3,18),index=True)
data
# data[['Close']].plot()
# In[ ]:
# high = close -----> GAPUP
# low = close -----> GAPDOWN
# if today (startDate) is GAP DOWN and HIGH = CLOSE ----> then GAP-DOWN on NEXT DAY)
# if today (startDate) is GAP DOWN and LOW = CLOSE ----> then GAP-UP on NEXT DAY)
# if today (startDate) is FLAT and LOW = CLOSE ----> then GAP - UP on NEXT DAY)
# if today (startDate) is FLAT and HIGH = CLOSE ----> then GAP - DOWN on NEXT DAY)
# if CLOSE is symmetrical pattern to HIGH and LOW and for today if it is GAP-UP,
# then for next day it should also be GAP-UP
# if CLOSE is symmetrical pattern to HIGH and LOW and for today if it is GAP-DOWN,
# then for next day it should also be GAP-DOWN
# In[ ]:
rc = identifyGAPUPDOWN('2022-03-04','2022-03-05')
print(rc)
# please recheck on 01-feb-2022, 05th JAN'22 ,31 DEC '21,
# In[ ]:
calculate high close diff points and low close diff points
# In[ ]:
df_SBIN
# In[ ]:
# df_KOTAK = df_KOTAK.between_time('09:15', '15:25')
# df_KOTAK
