def main_financial_data_process(path, path_res):
stock_codes = financial_download.ts_stock_codes()
# stock_codes = ['000719']
for stock_code in stock_codes:
print("stock:", stock_code)
data_finance = load_financical_data(path, stock_code)
data_processed = financial_index_calc(data_finance)
store_process_financical_data(path_res, data_processed, stock_code)
def download_all_stocks():
path_root = '../../../data/'
#stock_codes = ['000001']
stock_codes = FD.ts_stock_codes()
#get_dates = ['2018/6/30']
SB = stock_basic(stock_codes, path_root)
#SB.get_stocks_basic()
SB.get_all_stocks_basic()
print('downloaded successfully')
except getopt.GetoptError:
print('test.py -o <outputfile>')
sys.exit(2)
for opt, arg in opts:
if opt == '-h':
print('test.py -o <outputfile>')
sys.exit()
elif opt in ("-o", "--ofile"):
outputfile = arg
elif opt in ("-k", "--kmean"):
k = int(arg)
path = '../../../data/finance_processed'
path_score = '../../../data/score'
path_plot = '../../../data/figure'
path_score_kmean = outputfile
stocks = financial_download.ts_stock_codes()
#stocks = ['000001','000002','000004','000005','000006']
dates = ['2018-06-30']
if not os.path.exists(path_plot):
os.makedirs(path_plot)
#k = 300
FIR = financial_index_rank(path=path, path_score=path_score, stocks = stocks, dates = dates)
indexs = [
#earning capacity
FID['roe'],\
FID['roa'],\
FID['profit_revenue'],\
FID['profit_cost'],\
FID['equlity_incr_rate'],\
###grow capacity
FID['revenue_incr_rate'],\