from finviz.screener import Screener

filters = ['exch_nasd', 'idx_sp500']  # Shows companies in NASDAQ which are in the S&P500
stock_list = Screener(filters=filters, table='Performance', order='price')  # Get the performance table and sort it by price ascending

# Export the screener results to .csv
stock_list.to_csv("/tmp/stock.csv")

# Create a SQLite database
stock_list.to_sqlite("/tmp/stock.sqlite3")

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)