# process dates.
# Clean up quotes.
# Make a plot showing all symbols in list
# --------------------------------------------------
## update quotes from list of symbols
(symbols_directory, symbols_file) = os.path.split(filename)
basename, extension = os.path.splitext(symbols_file)
print((" symbols_directory = ", symbols_directory))
print(" symbols_file = ", symbols_file)
print("symbols_directory, symbols.file = ", symbols_directory, symbols_file)
###############################################################################################
do_update = False
if do_update is True:
UpdateHDF5(symbols_directory, symbols_file) ### assume hdf is already up to date
adjClose, symbols, datearray, _, _ = loadQuotes_fromHDF(filename)
models_folder = os.path.join(os.getcwd(), 'pngs', 'best_performers4')
models_list = os.listdir(models_folder)
models_list = [i for i in models_list if '.txt' in i]
models_list = [i for i in models_list if 'bak' not in i]
model_filter = 'SP'
if model_filter == 'Naz100':
models_list = [i for i in models_list if 'Naz100' in i]
if model_filter == 'SP':
models_list = [i for i in models_list if 'SP' in i]
# take final dynamic parameters (number of stocks, method) and use to suggest stocks for investing in now
def _main():
# Get Credentials for sending email
params = GetParams()
print("")
print("params = ", params)
print("")
stockList = params['stockList_predict']
stockList = params['stockList']
print(
"\n\n\n*************************************************************")
print("... top of _main in PyTAAA.py ...")
print("*************************************************************")
# Update prices in HDF5 file for symbols in list
# - check web for current stocks in Naz100, update files if changes needed
try:
if stockList == 'Naz100':
_, removedTickers, addedTickers = get_Naz100List(verbose=True)
elif stockList == 'SP500' or stockList == 'SP_wo_Naz':
_, removedTickers, addedTickers = get_SP500List(verbose=True)
elif stockList == 'RU1000' or stockList == 'RU_wo_Naz':
_, removedTickers, addedTickers = get_RU1000List(verbose=True)
except:
removedTickers, addedTickers = [], []
symbol_directory = os.path.join(os.getcwd(), "symbols")
if stockList == 'Naz100':
symbol_file = "Naz100_Symbols.txt"
elif stockList == 'SP500' or stockList == 'SP_wo_Naz':
symbol_file = "SP500_Symbols.txt"
elif stockList == 'RU1000' or stockList == 'RU_wo_Naz':
symbol_file = "RU1000_Symbols.txt"
symbols_file = os.path.join(symbol_directory, symbol_file)
start_time = time.time()
print("...start UpdateHDF_yf...")
print(" ... symbol_directory, symbols_file = ", symbol_directory,
symbols_file)
UpdateHDF_yf(symbol_directory, symbols_file)
print("...finish UpdateHDF_yf...")
elapsed_time = time.time() - start_time
print("elapsed time for quote updates: ", format(elapsed_time, '6.1f'),
" seconds")
adjClose, symbols, datearray, _, _ = loadQuotes_fromHDF(symbols_file)
lastdate = datearray[-1]
print("\n\n\n ************************\n")
print(" quote update completed.")
print("\n Date range = ", str(datearray[0]), " to ", str(datearray[-1]))
print(" Number of symbols = ", len(symbols))
print(" shape of array holding all quotes = ", adjClose.shape)
print("\n ************************\n")
print(" files in symbols directory:")
filelist = os.listdir(symbol_directory)
for file in filelist:
file_full_path = os.path.join(symbol_directory, file)
file_size_bytes = os.stat(file_full_path).st_size
file_size_Kb = file_size_bytes / 1024.
print(" - ", format(file, '35s'), format(file_size_Kb, '9,.2f'), " KB")