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Add financial ratios to fundamental analysis

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This commit is contained in:
didier
2020-12-27 23:00:07 +00:00
parent fa32563e23
commit 34128fc857
2 changed files with 50 additions and 2 deletions
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8
stock_market_cli.py
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@@ -67,6 +67,7 @@ def print_help(s_ticker, s_start, s_interval, b_is_market_open):
print(" cash cash flow of the company (default: AV)")
#print("- ratios -")
print(" metrics key metrics of the company")
print(" ratios financial ratios of the company")
print("\nTechnical Analysis:")
print(" sma simple moving average")
@@ -123,7 +124,7 @@ def main():
main_parser.add_argument('cmd', choices=['quit', 'help', 'gainers', 'sectors', 'view', 'load', 'clear',
'sma', 'ema', 'macd', 'vwap', 'stoch', 'rsi', 'adx',
'cci', 'aroon', 'bbands', 'ad', 'obv', 'ratings',
'income', 'balance', 'cash', 'metrics'])
'income', 'balance', 'cash', 'metrics', 'ratios'])
# Print first welcome message and help
print("\nWelcome to Didier's Stock Market Bot\n")
@@ -210,6 +211,11 @@ def main():
smfa.key_metrics(l_args, s_ticker)
continue
# ----------------------------------------------- FINANCIAL_RATIOS -----------------------------------------------
elif ns_known_args.cmd == 'ratios':
smfa.financial_ratios(l_args, s_ticker)
continue
# --------------------------------------------------------------------------------------------------------------
# -------------------------------------------- TECHNICAL ANALYSIS ----------------------------------------------
# --------------------------------------------------------------------------------------------------------------

44
stock_market_fundamental_analysis.py
View File

@@ -233,7 +233,6 @@ def key_metrics(l_args, s_ticker):
else:
pd.options.display.max_colwidth = 40
fd = FundamentalData(key=cfg.API_KEY_ALPHAVANTAGE, output_format='pandas')
if ns_parser.b_quarter:
df_fd = fa.key_metrics(s_ticker, cfg.API_KEY_FINANCIALMODELINGPREP, period='quarter')
else:
@@ -247,6 +246,49 @@ def key_metrics(l_args, s_ticker):
df_fd.index = [s_val.capitalize() for s_val in df_fd.index]
df_fd.columns.name = "Fiscal Date Ending"
print(df_fd)
print("")
except:
print("")
return
# ---------------------------------------------------- FINANCIAL_RATIOS ----------------------------------------------------
def financial_ratios(l_args, s_ticker):
parser = argparse.ArgumentParser(prog='ratios',
description=""" """)
parser.add_argument('-n', "--num", action="store", dest="n_num", type=check_positive, default=1, help='Number of informations')
parser.add_argument('-q', action="store_true", default=False, dest="b_quarter", help='Quarter fundamental data')
try:
(ns_parser, l_unknown_args) = parser.parse_known_args(l_args)
except SystemExit:
print("")
return
if l_unknown_args:
print(f"The following args couldn't be interpreted: {l_unknown_args}")
try:
if ns_parser.n_num == 1:
pd.set_option('display.max_colwidth', -1)
else:
pd.options.display.max_colwidth = 40
if ns_parser.b_quarter:
df_fd = fa.financial_ratios(s_ticker, cfg.API_KEY_FINANCIALMODELINGPREP, period='quarter')
else:
df_fd = fa.financial_ratios(s_ticker, cfg.API_KEY_FINANCIALMODELINGPREP)
df_fd = df_fd.iloc[:, 0:ns_parser.n_num]
df_fd = df_fd.mask(df_fd.astype(object).eq(ns_parser.n_num*['None'])).dropna()
df_fd = df_fd.mask(df_fd.astype(object).eq(ns_parser.n_num*['0'])).dropna()
df_fd = df_fd.applymap(lambda x: long_number_format(x))
df_fd.index = [''.join(' ' + char if char.isupper() else char.strip() for char in idx).strip() for idx in df_fd.index.tolist()]
df_fd.index = [s_val.capitalize() for s_val in df_fd.index]
df_fd.columns.name = "Fiscal Date Ending"
print(df_fd)
print("")
except: