def get_stock_name_list():
from finviz.screener import Screener
filters = ['exch_nasd'
] # Shows companies in NASDAQ which are in the S&P500
# Get the first 50 results sorted by price ascending
stock_list = Screener(filters=filters)
# Export the screener results to .csv
stock_list.to_csv()
# Create a SQLite database
stock_list.to_sqlite()
stock_name_list = []
for stock_dict in stock_list.data:
stock_name_list.append(stock_dict['Ticker'])
return stock_name_list
from finviz.screener import Screener
filters = ['exch_nasd', 'idx_sp500'] # Shows companies in NASDAQ which are in the S&P500
# Get the first 50 results sorted by price ascending
stock_list = Screener(filters=filters, order='price')
# Export the screener results to .csv
stock_list.to_csv()
# Create a SQLite database
stock_list.to_sqlite()
for stock in stock_list[9:19]: # Loop through 10th - 20th stocks
print(stock['Ticker'], stock['Price']) # Print symbol and price
# Add more filters
stock_list.add(filters=['fa_div_high']) # Show stocks with high dividend yield
# or just stock_list(filters=['fa_div_high'])
# Print the table into the console
print(stock_list)
