Yonghong Tan yongghongg

	final_result_df = pd.DataFrame()

	# read from local data
	for symbol in os.listdir('price_data/'):
	df = pd.read_csv(f'price_data/{symbol}')
	if df.empty:
	continue
	df.replace('', np.nan, inplace=True)
	df.dropna(inplace=True)
	df.ta.cdl_pattern(name="all", append=True)

	# show a list of available market
	market_list = ss.market_list

	market_list
	'''
	[{'market': 'argentina',
	'abbreviation': 'ar',
	'totalCount': 388,
	'lastUpdated': '2022-01-10T00:00:00.000Z',
	'index': [{'id': 'BCBA:IMV',

	# get symbol list based on market
	symbol_list_us = ss.get_symbol_list(market="US") # "us" or "america" will also work

	symbol_list_us
	'''
	[{'symbol': 'AAPL',
	'shortName': 'apple',
	'longName': 'Apple Inc.',
	'exchange': 'NASDAQ',
	'market': 'us_market',

	# get symbol list based on index
	symbol_list_dow = ss.get_symbol_list(index="DJI")

	symbol_list_dow
	'''
	[{'symbol': 'AAPL',
	'shortName': 'apple',
	'longName': 'Apple Inc.',
	'exchange': 'NASDAQ',
	'market': 'us_market',