def get_nse_data_and_check(alert):
nse = nsetools.Nse()
if nse.is_valid_code(alert.scrip_symbol):
quote = nse.get_quote(alert.scrip_symbol)
if alert.percentage:
if check_within_range(quote['closePrice'],
alert.percentage,
alert.price) or \
check_within_range(quote['lastPrice'],
alert.percentage,
alert.price):
return True, quote
elif float(quote['closePrice']) <= alert.price or float(
quote['lastPrice']) <= alert.price:
return True, quote
return False, {}
def nsedata(type="history",duration="1Yr"):
print(datetime.datetime.now())
nse = nsetools.Nse()
# stock_dict = ["INFY"]
stock_dict = nse.get_stock_codes()
del stock_dict['SYMBOL']
pandas.set_option('display.max_rows', None)
end_dt = datetime.date.today()
for key in stock_dict:
stock = key
print(stock)
if type == "history":
print(type)
if os.path.exists("{}.csv".format(stock)):
os.remove("{}.csv".format(stock))
else:
print("target file is not present")
if duration == "1Yr":
start_dt = end_dt - relativedelta.relativedelta(days=365)
data = nsepy.get_history(symbol=key, start=start_dt, end=end_dt)
data.to_csv("{}.csv".format(stock), header=True)
if duration == "3Yr":
start_dt = end_dt - relativedelta.relativedelta(days=1095)
data = nsepy.get_history(symbol=key, start=start_dt, end=end_dt)
data.to_csv("{}.csv".format(stock), header=True)
if duration == "5Yr":
start_dt = end_dt - relativedelta.relativedelta(days=1825)
data = nsepy.get_history(symbol=key, start=start_dt, end=end_dt)
data.to_csv("{}.csv".format(stock), header=True)
if type == "incremental":
print(type)
start_dt = end_dt - relativedelta.relativedelta(days=0)
data = nsepy.get_history(symbol=key, start=start_dt, end=end_dt)
data.to_csv("{}.csv".format(stock), mode='a', header=True)
print(datetime.datetime.now())
import nsepy
import datetime
from dateutil import relativedelta
import pandas
# import cx_oracle
import os
import nsetools
print(datetime.datetime.now())
nse = nsetools.Nse()
stock_dict = nse.get_stock_codes()
del stock_dict['SYMBOL']
# stock_dict = ["INFY"]
pandas.set_option('display.max_rows', None)
end_dt = datetime.date.today()
start_dt = end_dt - relativedelta.relativedelta(days=365)
for key in stock_dict:
stock = key
print(stock)
path = "C:\\Users\\171575\\PycharmProjects\\pythonProject\\hist_data"
if os.path.exists("{}.csv".format(stock)):
os.remove("{}.csv".format(stock))
else:
print("target file is not present")
data = nsepy.get_history(symbol=key, start=start_dt, end=end_dt)
data.to_csv("{}.csv".format(stock), header=True)
print(datetime.datetime.now())