content: # -*- coding: utf-8 -*-
  """
  Created on Wed Apr  5 20:13:42 2017
  
  @author: AmatVictoriaCuramIII
  """
  firsttime = '07/01/1983'
  secondtime = '01/01/1995'
  thirdtime = '01/01/2006'
  fourthtime = '01/01/2010'
  lasttime = '01/01/2050'
  ticker = '^GSPC'
  import pandas as pd
  from ChaikinAggMaker import ChaikinAggMaker
  S1TS = pd.read_pickle('SP500NCS1TS')
  S2TS = pd.read_pickle('SP500NCS2TS')
  S3TS = pd.read_pickle('SP500NCS3TS')
  S4TS = pd.read_pickle('SP500NCS4TS')
  S1TS = S1TS.loc[:,~S1TS.columns.duplicated()]
  S2TS = S2TS.loc[:,~S2TS.columns.duplicated()]
  S3TS = S3TS.loc[:,~S3TS.columns.duplicated()]
  S4TS = S4TS.loc[:,~S4TS.columns.duplicated()]
  testset1winners = ChaikinAggMaker(ticker, S1TS, firsttime, secondtime)
  testset2winners = ChaikinAggMaker(ticker, S2TS, secondtime, thirdtime)
  testset3winners = ChaikinAggMaker(ticker, S3TS, thirdtime, lasttime)
  testset4winners = ChaikinAggMaker(ticker, S4TS, fourthtime, lasttime)
  Aggregate = pd.DataFrame()
  Aggregate = pd.concat([Aggregate, testset1winners, testset2winners,
                      testset3winners, testset4winners],axis = 1)
  Aggregate = Aggregate.loc[:,~Aggregate.columns.duplicated()]