def populate_shares(sys):
year = None
if len(sys.argv) > 1:
arguments = eval(sys.argv[1])
year = int(arguments['year'])
globals()['year'] = year
globals()['infos'] = {}
if year == None:
shares = bovespa.shares()
else:
shares = fundamentus.shares(year)
shares = shares[shares['Cotação'] > 0]
shares = shares[shares['Liquidez 2 meses'] > 500]
shares['Ranking'] = 0
fill_infos(shares)
shares = add_ratings(shares)
shares = reorder_columns(shares)
return shares
# Chame a função main de acordo com qual formula você quer aplicar: roe OU roic
# Formula ROE: Utiliza ROE e P/L
# Formula ROIC: Utiliza ROIC e EV/EBIT (EV/EBITDA não tem no fundamentus)
# ================ Exemplos ================
# python3 greenblatt.py "{ 'formula': 'ROE', 'year': 2013 }"
if __name__ == '__main__':
from waitingbar import WaitingBar
progress_bar = WaitingBar('[*] Calculating...')
year = None
formula = None
if len(sys.argv) > 1:
arguments = eval(sys.argv[1])
year = int(arguments.get('year', None))
formula = arguments.get('formula', None)
if year == None:
shares = bovespa.shares()
else:
shares = fundamentus.get_data(year)
shares = setup(shares, formula, year)
shares.sort_values(by=['Magic Formula', 'Cotação'],
ascending=[True, True],
inplace=True)
backtest.display_shares(shares, year)
progress_bar.stop()