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	#########################################################################
	# US_stock_bundle
	###############

	# ~.zipline/extensions.py

	#from zipline.data.bundles import register, US_stock_data
	#
	#register('US_stock_bundle', US_stock_data.US_stock_data, calendar_name='NYSE')

	# to ingest the etfs

	import zipline
	from zipline.data.bundles.core import register, ingest
	import yfinance as yf
	import pandas as pd
	from datetime import datetime
	import pytz

	# FOR ALL ASSETS

	import sys

	if 'ziptrader36' in sys.path[1]:
	active_kernel = 'ziptrader36'

	elif 'zipline-reloaded' in sys.path[1]:
	active_kernel = 'zipline-reloaded'
	else:
	active_kernel = 'not ziptrader36 or zipline-reloaded'

	import talib

	# routine to get args required for talib function

	def find_talib_args(func):
	s = eval('talib.' + func + '.__doc__')
	try:
	s = s.splitlines()[0].split('(')[1].split(')')[0].replace('[','').replace(']','').replace('?','')
	return s.split(',')
	except:

	from fintools import endpoints

	# end_points prices (in this case, monthly)
	end_points = endpoints(period='M', trading_days=prices_d.index)
	prices_m = prices_d.loc[end_points]
	prices_m[:2]

	etfs = [
	# ----------------------------------------- #
	# SPDRS/State Street Global Advisors (SSGA)
	'XLY', # Select SPDR U.S. Consumer Discretionary
	'XLP', # Select SPDR U.S. Consumer Staples
	'XLE', # Select SPDR U.S. Energy
	'XLF', # Select SPDR U.S. Financials
	'XLV', # Select SPDR U.S. Healthcare
	'XLI', # Select SPDR U.S. Industrials
	'XLB', # Select SPDR U.S. Materials

	import matplotlib.pylab as plt
	plt.rc('figure', figsize=(8, 5))
	plt.style.use('seaborn-dark')

	import pandas_datareader.data as pdr
	import matplotlib.pyplot as plt
	import pandas as pd
	from datetime import datetime, timezone
	import pytz
	import talib
	import itable
	import ffn

	from fintools import get_DataArray,compute_weights_RS_DM,compute_weights_PMA,\