mirror of
https://github.com/OpenBB-finance/OpenBB.git
synced 2026-10-28 13:01:38 +00:00
Catch exceptions from subprograms in menus
This commit is contained in:
Aarni Koskela
@@ -58,57 +58,60 @@ def disc_menu():
|
||||
except SystemExit:
|
||||
print("The command selected doesn't exist\n")
|
||||
continue
|
||||
|
||||
if ns_known_args.cmd == 'help':
|
||||
print_discovery()
|
||||
|
||||
elif ns_known_args.cmd == 'q':
|
||||
# Just leave the DISC menu
|
||||
return False
|
||||
try:
|
||||
if ns_known_args.cmd == 'help':
|
||||
print_discovery()
|
||||
|
||||
elif ns_known_args.cmd == 'quit':
|
||||
# Abandon the program
|
||||
return True
|
||||
elif ns_known_args.cmd == 'q':
|
||||
# Just leave the DISC menu
|
||||
return False
|
||||
|
||||
# --------------------------------------------------- FINVIZ ---------------------------------------------------
|
||||
elif ns_known_args.cmd == 'map':
|
||||
finviz_api.map_sp500(l_args)
|
||||
|
||||
# ------------------------------------------------ ALPHA VANTAGE -----------------------------------------------
|
||||
elif ns_known_args.cmd == 'sectors':
|
||||
alpha_vantage_api.sectors(l_args)
|
||||
|
||||
# ------------------------------------------------ YAHOO FINANCE ------------------------------------------------
|
||||
elif ns_known_args.cmd == 'gainers':
|
||||
yahoo_finance_api.gainers(l_args)
|
||||
elif ns_known_args.cmd == 'quit':
|
||||
# Abandon the program
|
||||
return True
|
||||
|
||||
# -------------------------------------------------- SPACHERO --------------------------------------------------
|
||||
elif ns_known_args.cmd == 'spachero':
|
||||
spachero_api.spachero(l_args)
|
||||
# --------------------------------------------------- FINVIZ ---------------------------------------------------
|
||||
elif ns_known_args.cmd == 'map':
|
||||
finviz_api.map_sp500(l_args)
|
||||
|
||||
# -------------------------------------------------- UNUSUAL WHALES --------------------------------------------------
|
||||
elif ns_known_args.cmd == 'uwhales':
|
||||
unusual_whales_api.unusual_whales(l_args)
|
||||
# ------------------------------------------------ ALPHA VANTAGE -----------------------------------------------
|
||||
elif ns_known_args.cmd == 'sectors':
|
||||
alpha_vantage_api.sectors(l_args)
|
||||
|
||||
# --------------------------------------------------- FIDELITY ---------------------------------------------------
|
||||
elif ns_known_args.cmd == 'orders':
|
||||
fidelity_api.orders(l_args)
|
||||
# ------------------------------------------------ YAHOO FINANCE ------------------------------------------------
|
||||
elif ns_known_args.cmd == 'gainers':
|
||||
yahoo_finance_api.gainers(l_args)
|
||||
|
||||
# ------------------------------------------------ SIMPLY WALL ST ------------------------------------------------
|
||||
elif ns_known_args.cmd == 'simply_wallst':
|
||||
simply_wallst_api.simply_wallst(l_args)
|
||||
# -------------------------------------------------- SPACHERO --------------------------------------------------
|
||||
elif ns_known_args.cmd == 'spachero':
|
||||
spachero_api.spachero(l_args)
|
||||
|
||||
# ------------------------------------------------ SEEKING ALPHA ------------------------------------------------
|
||||
elif ns_known_args.cmd == 'up_earnings':
|
||||
seeking_alpha_api.earnings_release_dates(l_args)
|
||||
# -------------------------------------------------- UNUSUAL WHALES --------------------------------------------------
|
||||
elif ns_known_args.cmd == 'uwhales':
|
||||
unusual_whales_api.unusual_whales(l_args)
|
||||
|
||||
# ------------------------------------------------ SHORT_INTEREST ------------------------------------------------
|
||||
elif ns_known_args.cmd == 'high_short':
|
||||
short_interest_api.high_short_interest(l_args)
|
||||
|
||||
elif ns_known_args.cmd == 'low_float':
|
||||
short_interest_api.low_float(l_args)
|
||||
# --------------------------------------------------- FIDELITY ---------------------------------------------------
|
||||
elif ns_known_args.cmd == 'orders':
|
||||
fidelity_api.orders(l_args)
|
||||
|
||||
# ------------------------------------------------------------------------------------------------------------
|
||||
else:
|
||||
print("Command not recognized!")
|
||||
# ------------------------------------------------ SIMPLY WALL ST ------------------------------------------------
|
||||
elif ns_known_args.cmd == 'simply_wallst':
|
||||
simply_wallst_api.simply_wallst(l_args)
|
||||
|
||||
# ------------------------------------------------ SEEKING ALPHA ------------------------------------------------
|
||||
elif ns_known_args.cmd == 'up_earnings':
|
||||
seeking_alpha_api.earnings_release_dates(l_args)
|
||||
|
||||
# ------------------------------------------------ SHORT_INTEREST ------------------------------------------------
|
||||
elif ns_known_args.cmd == 'high_short':
|
||||
short_interest_api.high_short_interest(l_args)
|
||||
|
||||
elif ns_known_args.cmd == 'low_float':
|
||||
short_interest_api.low_float(l_args)
|
||||
|
||||
# ------------------------------------------------------------------------------------------------------------
|
||||
else:
|
||||
print("Command not recognized!")
|
||||
except Exception as exc:
|
||||
print("ERROR:", exc)
|
||||
|
||||
@@ -67,55 +67,58 @@ def dd_menu(df_stock, s_ticker, s_start, s_interval):
|
||||
print("The command selected doesn't exist\n")
|
||||
continue
|
||||
|
||||
if ns_known_args.cmd == 'help':
|
||||
print_due_diligence(s_ticker, s_start, s_interval)
|
||||
try:
|
||||
if ns_known_args.cmd == 'help':
|
||||
print_due_diligence(s_ticker, s_start, s_interval)
|
||||
|
||||
elif ns_known_args.cmd == 'q':
|
||||
# Just leave the DD menu
|
||||
return False
|
||||
elif ns_known_args.cmd == 'q':
|
||||
# Just leave the DD menu
|
||||
return False
|
||||
|
||||
elif ns_known_args.cmd == 'quit':
|
||||
# Abandon the program
|
||||
return True
|
||||
elif ns_known_args.cmd == 'quit':
|
||||
# Abandon the program
|
||||
return True
|
||||
|
||||
# REDDIT API
|
||||
elif ns_known_args.cmd == 'red':
|
||||
r_api.due_diligence(l_args, s_ticker)
|
||||
# REDDIT API
|
||||
elif ns_known_args.cmd == 'red':
|
||||
r_api.due_diligence(l_args, s_ticker)
|
||||
|
||||
# FINVIZ API
|
||||
elif ns_known_args.cmd == 'insider':
|
||||
fvz_api.insider(l_args, s_ticker)
|
||||
# FINVIZ API
|
||||
elif ns_known_args.cmd == 'insider':
|
||||
fvz_api.insider(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'news':
|
||||
fvz_api.news(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'news':
|
||||
fvz_api.news(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'analyst':
|
||||
fvz_api.analyst(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'analyst':
|
||||
fvz_api.analyst(l_args, s_ticker)
|
||||
|
||||
# BUSINESS INSIDER API
|
||||
elif ns_known_args.cmd == 'pt':
|
||||
bi_api.price_target_from_analysts(l_args, df_stock, s_ticker, s_start, s_interval)
|
||||
# BUSINESS INSIDER API
|
||||
elif ns_known_args.cmd == 'pt':
|
||||
bi_api.price_target_from_analysts(l_args, df_stock, s_ticker, s_start, s_interval)
|
||||
|
||||
elif ns_known_args.cmd == 'est':
|
||||
bi_api.estimates(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'est':
|
||||
bi_api.estimates(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'ins':
|
||||
bi_api.insider_activity(l_args, df_stock, s_ticker, s_start, s_interval)
|
||||
elif ns_known_args.cmd == 'ins':
|
||||
bi_api.insider_activity(l_args, df_stock, s_ticker, s_start, s_interval)
|
||||
|
||||
# FINANCIAL MODELING PREP API
|
||||
elif ns_known_args.cmd == 'rating':
|
||||
fmp_api.rating(l_args, s_ticker)
|
||||
# FINANCIAL MODELING PREP API
|
||||
elif ns_known_args.cmd == 'rating':
|
||||
fmp_api.rating(l_args, s_ticker)
|
||||
|
||||
# MARKET WATCH API
|
||||
elif ns_known_args.cmd == 'sec':
|
||||
mw_api.sec_fillings(l_args, s_ticker)
|
||||
# MARKET WATCH API
|
||||
elif ns_known_args.cmd == 'sec':
|
||||
mw_api.sec_fillings(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'warnings':
|
||||
mw_api.sean_seah_warnings(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'warnings':
|
||||
mw_api.sean_seah_warnings(l_args, s_ticker)
|
||||
|
||||
# QUANDL API
|
||||
elif ns_known_args.cmd == 'short':
|
||||
q_api.short_interest(l_args, s_ticker, s_start)
|
||||
# QUANDL API
|
||||
elif ns_known_args.cmd == 'short':
|
||||
q_api.short_interest(l_args, s_ticker, s_start)
|
||||
|
||||
else:
|
||||
print("Command not recognized!")
|
||||
else:
|
||||
print("Command not recognized!")
|
||||
except Exception as exc:
|
||||
print("ERROR:", exc)
|
||||
|
||||
@@ -116,106 +116,109 @@ def fa_menu(s_ticker, s_start, s_interval):
|
||||
#if ns_known_args.cmd == 'info':
|
||||
# info(l_args, s_ticker)
|
||||
|
||||
if ns_known_args.cmd == 'help':
|
||||
print_fundamental_analysis(s_ticker, s_start, s_interval)
|
||||
try:
|
||||
if ns_known_args.cmd == 'help':
|
||||
print_fundamental_analysis(s_ticker, s_start, s_interval)
|
||||
|
||||
elif ns_known_args.cmd == 'q':
|
||||
# Just leave the FA menu
|
||||
return False
|
||||
elif ns_known_args.cmd == 'q':
|
||||
# Just leave the FA menu
|
||||
return False
|
||||
|
||||
elif ns_known_args.cmd == 'quit':
|
||||
# Abandon the program
|
||||
return True
|
||||
elif ns_known_args.cmd == 'quit':
|
||||
# Abandon the program
|
||||
return True
|
||||
|
||||
# BUSINESS INSIDER API
|
||||
elif ns_known_args.cmd == 'mgmt':
|
||||
bi_api.management(l_args, s_ticker)
|
||||
# BUSINESS INSIDER API
|
||||
elif ns_known_args.cmd == 'mgmt':
|
||||
bi_api.management(l_args, s_ticker)
|
||||
|
||||
# FINVIZ API
|
||||
elif ns_known_args.cmd == 'screener':
|
||||
fvz_api.screener(l_args, s_ticker)
|
||||
# FINVIZ API
|
||||
elif ns_known_args.cmd == 'screener':
|
||||
fvz_api.screener(l_args, s_ticker)
|
||||
|
||||
# MARKET WATCH API
|
||||
elif ns_known_args.cmd == 'income':
|
||||
mw_api.income(l_args, s_ticker)
|
||||
# MARKET WATCH API
|
||||
elif ns_known_args.cmd == 'income':
|
||||
mw_api.income(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'assets':
|
||||
mw_api.assets(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'assets':
|
||||
mw_api.assets(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'liabilities':
|
||||
mw_api.liabilities(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'liabilities':
|
||||
mw_api.liabilities(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'operating':
|
||||
mw_api.operating(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'operating':
|
||||
mw_api.operating(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'investing':
|
||||
mw_api.investing(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'investing':
|
||||
mw_api.investing(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'financing':
|
||||
mw_api.financing(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'financing':
|
||||
mw_api.financing(l_args, s_ticker)
|
||||
|
||||
# YAHOO FINANCE API
|
||||
elif ns_known_args.cmd == 'info':
|
||||
yf_api.info(l_args, s_ticker)
|
||||
# YAHOO FINANCE API
|
||||
elif ns_known_args.cmd == 'info':
|
||||
yf_api.info(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'shrs':
|
||||
yf_api.shareholders(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'shrs':
|
||||
yf_api.shareholders(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'sust':
|
||||
yf_api.sustainability(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'sust':
|
||||
yf_api.sustainability(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'cal':
|
||||
yf_api.calendar_earnings(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'cal':
|
||||
yf_api.calendar_earnings(l_args, s_ticker)
|
||||
|
||||
# ALPHA VANTAGE API
|
||||
elif ns_known_args.cmd == 'overview':
|
||||
av_api.overview(l_args, s_ticker)
|
||||
# ALPHA VANTAGE API
|
||||
elif ns_known_args.cmd == 'overview':
|
||||
av_api.overview(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'incom':
|
||||
av_api.income_statement(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'incom':
|
||||
av_api.income_statement(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'balance':
|
||||
av_api.balance_sheet(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'balance':
|
||||
av_api.balance_sheet(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'cash':
|
||||
av_api.cash_flow(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'cash':
|
||||
av_api.cash_flow(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'earnings':
|
||||
av_api.earnings(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'earnings':
|
||||
av_api.earnings(l_args, s_ticker)
|
||||
|
||||
# FINANCIAL MODELING PREP API
|
||||
# Details:
|
||||
elif ns_known_args.cmd == 'profile':
|
||||
fmp_api.profile(l_args, s_ticker)
|
||||
# FINANCIAL MODELING PREP API
|
||||
# Details:
|
||||
elif ns_known_args.cmd == 'profile':
|
||||
fmp_api.profile(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'quote':
|
||||
fmp_api.quote(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'quote':
|
||||
fmp_api.quote(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'enterprise':
|
||||
fmp_api.enterprise(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'enterprise':
|
||||
fmp_api.enterprise(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'dcf':
|
||||
fmp_api.discounted_cash_flow(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'dcf':
|
||||
fmp_api.discounted_cash_flow(l_args, s_ticker)
|
||||
|
||||
# Financial statement:
|
||||
elif ns_known_args.cmd == 'inc':
|
||||
fmp_api.income_statement(l_args, s_ticker)
|
||||
# Financial statement:
|
||||
elif ns_known_args.cmd == 'inc':
|
||||
fmp_api.income_statement(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'bal':
|
||||
fmp_api.balance_sheet(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'bal':
|
||||
fmp_api.balance_sheet(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'cashf':
|
||||
fmp_api.cash_flow(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'cashf':
|
||||
fmp_api.cash_flow(l_args, s_ticker)
|
||||
|
||||
# Ratios:
|
||||
elif ns_known_args.cmd == 'metrics':
|
||||
fmp_api.key_metrics(l_args, s_ticker)
|
||||
# Ratios:
|
||||
elif ns_known_args.cmd == 'metrics':
|
||||
fmp_api.key_metrics(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'ratios':
|
||||
fmp_api.financial_ratios(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'ratios':
|
||||
fmp_api.financial_ratios(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'growth':
|
||||
fmp_api.financial_statement_growth(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'growth':
|
||||
fmp_api.financial_statement_growth(l_args, s_ticker)
|
||||
|
||||
else:
|
||||
print("Command not recognized!")
|
||||
else:
|
||||
print("Command not recognized!")
|
||||
except Exception as exc:
|
||||
print("ERROR:", exc)
|
||||
|
||||
@@ -66,56 +66,59 @@ def pred_menu(df_stock, s_ticker, s_start, s_interval):
|
||||
print("The command selected doesn't exist\n")
|
||||
continue
|
||||
|
||||
if ns_known_args.cmd == 'help':
|
||||
print_prediction(s_ticker, s_start, s_interval)
|
||||
try:
|
||||
if ns_known_args.cmd == 'help':
|
||||
print_prediction(s_ticker, s_start, s_interval)
|
||||
|
||||
elif ns_known_args.cmd == 'q':
|
||||
# Just leave the FA menu
|
||||
return False
|
||||
elif ns_known_args.cmd == 'q':
|
||||
# Just leave the FA menu
|
||||
return False
|
||||
|
||||
elif ns_known_args.cmd == 'quit':
|
||||
# Abandon the program
|
||||
return True
|
||||
elif ns_known_args.cmd == 'quit':
|
||||
# Abandon the program
|
||||
return True
|
||||
|
||||
# ------------------------------------------ SIMPLE MOVING AVERAGE ------------------------------------------
|
||||
elif ns_known_args.cmd == 'sma':
|
||||
sma.simple_moving_average(l_args, s_ticker, s_interval, df_stock)
|
||||
# ------------------------------------------ SIMPLE MOVING AVERAGE ------------------------------------------
|
||||
elif ns_known_args.cmd == 'sma':
|
||||
sma.simple_moving_average(l_args, s_ticker, s_interval, df_stock)
|
||||
|
||||
# ------------------------------------------- k NEAREST NEIGHBORS ------------------------------------------
|
||||
elif ns_known_args.cmd == 'knn':
|
||||
knn.k_nearest_neighbors(l_args, s_ticker, s_interval, df_stock)
|
||||
# ------------------------------------------- k NEAREST NEIGHBORS ------------------------------------------
|
||||
elif ns_known_args.cmd == 'knn':
|
||||
knn.k_nearest_neighbors(l_args, s_ticker, s_interval, df_stock)
|
||||
|
||||
# ----------------------------------------------- REGRESSION -------------------------------------------------
|
||||
elif ns_known_args.cmd == 'linear':
|
||||
regression.regression(l_args, s_ticker, s_interval, df_stock, regression.LINEAR)
|
||||
# ----------------------------------------------- REGRESSION -------------------------------------------------
|
||||
elif ns_known_args.cmd == 'linear':
|
||||
regression.regression(l_args, s_ticker, s_interval, df_stock, regression.LINEAR)
|
||||
|
||||
elif ns_known_args.cmd == 'quadratic':
|
||||
regression.regression(l_args, s_ticker, s_interval, df_stock, regression.QUADRATIC)
|
||||
elif ns_known_args.cmd == 'quadratic':
|
||||
regression.regression(l_args, s_ticker, s_interval, df_stock, regression.QUADRATIC)
|
||||
|
||||
elif ns_known_args.cmd == 'cubic':
|
||||
regression.regression(l_args, s_ticker, s_interval, df_stock, regression.CUBIC)
|
||||
elif ns_known_args.cmd == 'cubic':
|
||||
regression.regression(l_args, s_ticker, s_interval, df_stock, regression.CUBIC)
|
||||
|
||||
elif ns_known_args.cmd == 'regression':
|
||||
regression.regression(l_args, s_ticker, s_interval, df_stock, regression.USER_INPUT)
|
||||
elif ns_known_args.cmd == 'regression':
|
||||
regression.regression(l_args, s_ticker, s_interval, df_stock, regression.USER_INPUT)
|
||||
|
||||
# ------------------------------------------------- ARIMA -------------------------------------------------
|
||||
elif ns_known_args.cmd == 'arima':
|
||||
arima.arima(l_args, s_ticker, s_interval, df_stock)
|
||||
# ------------------------------------------------- ARIMA -------------------------------------------------
|
||||
elif ns_known_args.cmd == 'arima':
|
||||
arima.arima(l_args, s_ticker, s_interval, df_stock)
|
||||
|
||||
# ------------------------------------------------ FBPROPHET ------------------------------------------------
|
||||
elif ns_known_args.cmd == 'prophet':
|
||||
fbprophet.fbprophet(l_args, s_ticker, s_interval, df_stock)
|
||||
# ------------------------------------------------ FBPROPHET ------------------------------------------------
|
||||
elif ns_known_args.cmd == 'prophet':
|
||||
fbprophet.fbprophet(l_args, s_ticker, s_interval, df_stock)
|
||||
|
||||
# ---------------------------------------------- NEURAL NETWORK ----------------------------------------------
|
||||
elif ns_known_args.cmd == 'mlp':
|
||||
neural_networks.mlp(l_args, s_ticker, s_interval, df_stock)
|
||||
# ---------------------------------------------- NEURAL NETWORK ----------------------------------------------
|
||||
elif ns_known_args.cmd == 'mlp':
|
||||
neural_networks.mlp(l_args, s_ticker, s_interval, df_stock)
|
||||
|
||||
elif ns_known_args.cmd == 'rnn':
|
||||
neural_networks.rnn(l_args, s_ticker, s_interval, df_stock)
|
||||
elif ns_known_args.cmd == 'rnn':
|
||||
neural_networks.rnn(l_args, s_ticker, s_interval, df_stock)
|
||||
|
||||
elif ns_known_args.cmd == 'lstm':
|
||||
neural_networks.lstm(l_args, s_ticker, s_interval, df_stock)
|
||||
elif ns_known_args.cmd == 'lstm':
|
||||
neural_networks.lstm(l_args, s_ticker, s_interval, df_stock)
|
||||
|
||||
# ------------------------------------------------------------------------------------------------------------
|
||||
else:
|
||||
print("Command not recognized!")
|
||||
# ------------------------------------------------------------------------------------------------------------
|
||||
else:
|
||||
print("Command not recognized!")
|
||||
except Exception as exc:
|
||||
print("ERROR:", exc)
|
||||
|
||||
@@ -68,66 +68,71 @@ def sen_menu(s_ticker, s_start):
|
||||
print("The command selected doesn't exist\n")
|
||||
continue
|
||||
|
||||
if ns_known_args.cmd == 'help':
|
||||
print_sentiment()
|
||||
try:
|
||||
|
||||
elif ns_known_args.cmd == 'q':
|
||||
# Just leave the DISC menu
|
||||
return False
|
||||
|
||||
elif ns_known_args.cmd == 'quit':
|
||||
# Abandon the program
|
||||
return True
|
||||
if ns_known_args.cmd == 'help':
|
||||
print_sentiment()
|
||||
|
||||
# ---------------------------------------------------- REDDIT ---------------------------------------------------
|
||||
elif ns_known_args.cmd == 'watchlist':
|
||||
reddit_api.watchlist(l_args)
|
||||
elif ns_known_args.cmd == 'q':
|
||||
# Just leave the DISC menu
|
||||
return False
|
||||
|
||||
elif ns_known_args.cmd == 'spac':
|
||||
reddit_api.spac(l_args)
|
||||
elif ns_known_args.cmd == 'quit':
|
||||
# Abandon the program
|
||||
return True
|
||||
|
||||
elif ns_known_args.cmd == 'spac_c':
|
||||
reddit_api.spac_community(l_args)
|
||||
# ---------------------------------------------------- REDDIT ---------------------------------------------------
|
||||
elif ns_known_args.cmd == 'watchlist':
|
||||
reddit_api.watchlist(l_args)
|
||||
|
||||
elif ns_known_args.cmd == 'wsb':
|
||||
reddit_api.wsb_community(l_args)
|
||||
elif ns_known_args.cmd == 'spac':
|
||||
reddit_api.spac(l_args)
|
||||
|
||||
elif ns_known_args.cmd == 'popular':
|
||||
reddit_api.popular_tickers(l_args)
|
||||
elif ns_known_args.cmd == 'spac_c':
|
||||
reddit_api.spac_community(l_args)
|
||||
|
||||
# ---------------------------------------------------- STOCKTWITS ---------------------------------------------------
|
||||
elif ns_known_args.cmd == 'bullbear':
|
||||
stocktwits_api.bullbear(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'wsb':
|
||||
reddit_api.wsb_community(l_args)
|
||||
|
||||
elif ns_known_args.cmd == 'messages':
|
||||
stocktwits_api.messages(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'popular':
|
||||
reddit_api.popular_tickers(l_args)
|
||||
|
||||
elif ns_known_args.cmd == 'trending':
|
||||
stocktwits_api.trending(l_args)
|
||||
# ---------------------------------------------------- STOCKTWITS ---------------------------------------------------
|
||||
elif ns_known_args.cmd == 'bullbear':
|
||||
stocktwits_api.bullbear(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'stalker':
|
||||
stocktwits_api.stalker(l_args)
|
||||
elif ns_known_args.cmd == 'messages':
|
||||
stocktwits_api.messages(l_args, s_ticker)
|
||||
|
||||
# ----------------------------------------------------- TWITTER ---------------------------------------------------
|
||||
elif ns_known_args.cmd == 'infer':
|
||||
twitter_api.inference(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'trending':
|
||||
stocktwits_api.trending(l_args)
|
||||
|
||||
elif ns_known_args.cmd == 'sentiment':
|
||||
twitter_api.sentiment(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'stalker':
|
||||
stocktwits_api.stalker(l_args)
|
||||
|
||||
# ----------------------------------------------------- GOOGLE ---------------------------------------------------
|
||||
elif ns_known_args.cmd == 'mentions':
|
||||
google_api.mentions(l_args, s_ticker, s_start)
|
||||
# ----------------------------------------------------- TWITTER ---------------------------------------------------
|
||||
elif ns_known_args.cmd == 'infer':
|
||||
twitter_api.inference(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'regions':
|
||||
google_api.regions(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'sentiment':
|
||||
twitter_api.sentiment(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'queries':
|
||||
google_api.queries(l_args, s_ticker)
|
||||
# ----------------------------------------------------- GOOGLE ---------------------------------------------------
|
||||
elif ns_known_args.cmd == 'mentions':
|
||||
google_api.mentions(l_args, s_ticker, s_start)
|
||||
|
||||
elif ns_known_args.cmd == 'rise':
|
||||
google_api.rise(l_args, s_ticker)
|
||||
elif ns_known_args.cmd == 'regions':
|
||||
google_api.regions(l_args, s_ticker)
|
||||
|
||||
# ------------------------------------------------------------------------------------------------------------
|
||||
else:
|
||||
print("Command not recognized!")
|
||||
elif ns_known_args.cmd == 'queries':
|
||||
google_api.queries(l_args, s_ticker)
|
||||
|
||||
elif ns_known_args.cmd == 'rise':
|
||||
google_api.rise(l_args, s_ticker)
|
||||
|
||||
# ------------------------------------------------------------------------------------------------------------
|
||||
else:
|
||||
print("Command not recognized!")
|
||||
except Exception as exc:
|
||||
print("ERROR:", exc)
|
||||
|
||||
@@ -69,58 +69,62 @@ def ta_menu(df_stock, s_ticker, s_start, s_interval):
|
||||
print("The command selected doesn't exist\n")
|
||||
continue
|
||||
|
||||
if ns_known_args.cmd == 'help':
|
||||
print_technical_analysis(s_ticker, s_start, s_interval)
|
||||
try:
|
||||
|
||||
elif ns_known_args.cmd == 'q':
|
||||
# Just leave the FA menu
|
||||
return False
|
||||
if ns_known_args.cmd == 'help':
|
||||
print_technical_analysis(s_ticker, s_start, s_interval)
|
||||
|
||||
elif ns_known_args.cmd == 'quit':
|
||||
# Abandon the program
|
||||
return True
|
||||
elif ns_known_args.cmd == 'q':
|
||||
# Just leave the FA menu
|
||||
return False
|
||||
|
||||
# -------------------------------------------------- OVERLAP --------------------------------------------------
|
||||
elif ns_known_args.cmd == 'ema':
|
||||
ta_overlap.ema(l_args, s_ticker, s_interval, df_stock)
|
||||
elif ns_known_args.cmd == 'quit':
|
||||
# Abandon the program
|
||||
return True
|
||||
|
||||
elif ns_known_args.cmd == 'sma':
|
||||
ta_overlap.sma(l_args, s_ticker, s_interval, df_stock)
|
||||
# -------------------------------------------------- OVERLAP --------------------------------------------------
|
||||
elif ns_known_args.cmd == 'ema':
|
||||
ta_overlap.ema(l_args, s_ticker, s_interval, df_stock)
|
||||
|
||||
elif ns_known_args.cmd == 'vwap':
|
||||
ta_overlap.vwap(l_args, s_ticker, s_interval, df_stock)
|
||||
elif ns_known_args.cmd == 'sma':
|
||||
ta_overlap.sma(l_args, s_ticker, s_interval, df_stock)
|
||||
|
||||
# --------------------------------------------------- MOMENTUM ---------------------------------------------------
|
||||
elif ns_known_args.cmd == 'cci':
|
||||
ta_momentum.cci(l_args, s_ticker, s_interval, df_stock)
|
||||
elif ns_known_args.cmd == 'vwap':
|
||||
ta_overlap.vwap(l_args, s_ticker, s_interval, df_stock)
|
||||
|
||||
elif ns_known_args.cmd == 'macd':
|
||||
ta_momentum.macd(l_args, s_ticker, s_interval, df_stock)
|
||||
# --------------------------------------------------- MOMENTUM ---------------------------------------------------
|
||||
elif ns_known_args.cmd == 'cci':
|
||||
ta_momentum.cci(l_args, s_ticker, s_interval, df_stock)
|
||||
|
||||
elif ns_known_args.cmd == 'rsi':
|
||||
ta_momentum.rsi(l_args, s_ticker, s_interval, df_stock)
|
||||
elif ns_known_args.cmd == 'macd':
|
||||
ta_momentum.macd(l_args, s_ticker, s_interval, df_stock)
|
||||
|
||||
elif ns_known_args.cmd == 'stoch':
|
||||
ta_momentum.stoch(l_args, s_ticker, s_interval, df_stock)
|
||||
elif ns_known_args.cmd == 'rsi':
|
||||
ta_momentum.rsi(l_args, s_ticker, s_interval, df_stock)
|
||||
|
||||
# ---------------------------------------------------- TREND ----------------------------------------------------
|
||||
elif ns_known_args.cmd == 'adx':
|
||||
ta_trend.adx(l_args, s_ticker, s_interval, df_stock)
|
||||
elif ns_known_args.cmd == 'stoch':
|
||||
ta_momentum.stoch(l_args, s_ticker, s_interval, df_stock)
|
||||
|
||||
elif ns_known_args.cmd == 'aroon':
|
||||
ta_trend.aroon(l_args, s_ticker, s_interval, df_stock)
|
||||
# ---------------------------------------------------- TREND ----------------------------------------------------
|
||||
elif ns_known_args.cmd == 'adx':
|
||||
ta_trend.adx(l_args, s_ticker, s_interval, df_stock)
|
||||
|
||||
# -------------------------------------------------- VOLATILITY --------------------------------------------------
|
||||
elif ns_known_args.cmd == 'bbands':
|
||||
ta_volatility.bbands(l_args, s_ticker, s_interval, df_stock)
|
||||
elif ns_known_args.cmd == 'aroon':
|
||||
ta_trend.aroon(l_args, s_ticker, s_interval, df_stock)
|
||||
|
||||
# ---------------------------------------------------- VOLUME ----------------------------------------------------
|
||||
elif ns_known_args.cmd == 'ad':
|
||||
ta_volume.ad(l_args, s_ticker, s_interval, df_stock)
|
||||
# -------------------------------------------------- VOLATILITY --------------------------------------------------
|
||||
elif ns_known_args.cmd == 'bbands':
|
||||
ta_volatility.bbands(l_args, s_ticker, s_interval, df_stock)
|
||||
|
||||
elif ns_known_args.cmd == 'obv':
|
||||
ta_volume.obv(l_args, s_ticker, s_interval, df_stock)
|
||||
# ---------------------------------------------------- VOLUME ----------------------------------------------------
|
||||
elif ns_known_args.cmd == 'ad':
|
||||
ta_volume.ad(l_args, s_ticker, s_interval, df_stock)
|
||||
|
||||
# ------------------------------------------------------------------------------------------------------------
|
||||
else:
|
||||
print("Command not recognized!")
|
||||
elif ns_known_args.cmd == 'obv':
|
||||
ta_volume.obv(l_args, s_ticker, s_interval, df_stock)
|
||||
|
||||
# ------------------------------------------------------------------------------------------------------------
|
||||
else:
|
||||
print("Command not recognized!")
|
||||
except Exception as exc:
|
||||
print("ERROR:", exc)
|
||||
|
||||
Reference in New Issue
Block a user