market_name = ['nse', 'bse', 'aus', 'hsi', 'nikkei']#, 'sanghai']
if __name__ == '__main__':
final_result=''
for start_date,e,s in zip(start_date_list, end_date_list, start_test_list):
end_date, start_test = get_date(start_date, e,s)
d = DataHandler()
data_frames = d.fetch_and_save_data(indices, market_name, start_date, end_date)
# plot([data_frames[0]], 'Adj Close', market_name[0])
for data_frame in data_frames:
d.daily_return(data_frame)
# for index, data_frame in zip(range(len(data_frames)), data_frames):
# plot([d.daily_return(data_frame)], 'Daily Return', market_name[index].upper()+' Index')
# print(data_frames[0].head(5))
#d.plot_data([data_frames[0],data_frames[7]], ['Daily Return'], market_names=market_name)
#plt.show()
# Plot data
# data_frames[0]['Daily Return'].plot()
#print(data_frames[0].index.name)
#print(data_frames[0].columns.values.tolist())
