import yfinance as yf import pandas as pd import config_terminal as cfg import argparse from helper_funcs import * # ---------------------------------------------------- INFO ---------------------------------------------------- def info(l_args, s_ticker): parser = argparse.ArgumentParser(prog='info', description="""Print information about the company. The following fields are expected: Zip, Sector, Full time employees, Long business summary, City, Phone, State, Country, Website, Max age, Address, Industry, Previous close, Regular market open, Two hundred day average, Payout ratio, Regular market day high, Average daily volume 10 day, Regular market previous close, Fifty day average, Open, Average volume 10 days, Beta, Regular market day low, Price hint, Currency, Trailing PE, Regular market volume, Market cap, Average volume, Price to sales trailing 12 months, Day low, Ask, Ask size, Volume, Fifty two week high, Forward PE, Fifty two week low, Bid, Tradeable, Bid size, Day high, Exchange, Short name, Long name, Exchange timezone name, Exchange timezone short name, Is esg populated, Gmt off set milliseconds, Quote type, Symbol, Message board id, Market, Enterprise to revenue, Profit margins, Enterprise to ebitda, 52 week change, Forward EPS, Shares outstanding, Book value, Shares short, Shares percent shares out, Last fiscal year end, Held percent institutions, Net income to common, Trailing EPS, Sand p52 week change, Price to book, Held percent insiders, Next fiscal year end, Most recent quarter, Short ratio, Shares short previous month date, Float shares, Enterprise value, Last split date, Last split factor, Earnings quarterly growth, Date short interest, PEG ratio, Short percent of float, Shares short prior month, Regular market price, Logo_url. [Source: Yahoo Finance]""") try: (ns_parser, l_unknown_args) = parser.parse_known_args(l_args) if l_unknown_args: print(f"The following args couldn't be interpreted: {l_unknown_args}\n") return stock = yf.Ticker(s_ticker) df_info = pd.DataFrame(stock.info.items(), columns=['Metric', 'Value']) df_info = df_info.set_index('Metric') df_info.index = [''.join(' ' + char if char.isupper() else char.strip() for char in idx).strip() for idx in df_info.index.tolist()] df_info.index = [s_val.capitalize() for s_val in df_info.index] df_info.loc['Last split date'].values[0] = datetime.fromtimestamp(df_info.loc['Last split date'].values[0]).strftime('%d/%m/%Y') df_info = df_info.mask(df_info['Value'].astype(str).eq('[]')).dropna() df_info = df_info.applymap(lambda x: long_number_format(x)) df_info = df_info.rename(index={"Address1": "Address", "Average daily volume10 day": "Average daily volume 10 day", "Average volume10days": "Average volume 10 days", "Price to sales trailing12 months": "Price to sales trailing 12 months"}) df_info.index = df_info.index.str.replace('eps','EPS') df_info.index = df_info.index.str.replace('p e','PE') df_info.index = df_info.index.str.replace('Peg','PEG') pd.set_option('display.max_colwidth', -1) print(df_info.drop(index=['Long business summary']).to_string(header=False)) print("") print(df_info.loc['Long business summary'].values[0]) print("") except: print("") return # ---------------------------------------------------- SHAREHOLDERS ---------------------------------------------------- def shareholders(l_args, s_ticker): parser = argparse.ArgumentParser(prog='shrs', description="""Print Major, institutional and mutualfunds shareholders. [Source: Yahoo Finance]""") try: (ns_parser, l_unknown_args) = parser.parse_known_args(l_args) if l_unknown_args: print(f"The following args couldn't be interpreted: {l_unknown_args}\n") return stock = yf.Ticker(s_ticker) pd.set_option('display.max_colwidth', -1) # Major holders print("Major holders") df_major_holders = stock.major_holders df_major_holders[1] = df_major_holders[1].apply(lambda x: x.replace('%', 'Percentage')) print(df_major_holders.to_string(index=False, header=False)) print("") # Institutional holders print("Institutional holders") df_institutional_shareholders = stock.institutional_holders df_institutional_shareholders.columns = df_institutional_shareholders.columns.str.replace('% Out','Stake') df_institutional_shareholders['Shares'] = df_institutional_shareholders['Shares'].apply(lambda x: long_number_format(x)) df_institutional_shareholders['Value'] = df_institutional_shareholders['Value'].apply(lambda x: long_number_format(x)) df_institutional_shareholders['Stake'] = df_institutional_shareholders['Stake'].apply(lambda x: str("{:.2f}".format(100*x))+' %') print(df_institutional_shareholders.to_string(index=False)) print("") # Mutualfunds holders print("Mutualfunds holders") df_mutualfund_shareholders = stock.mutualfund_holders df_mutualfund_shareholders.columns = df_mutualfund_shareholders.columns.str.replace('% Out','Stake') df_mutualfund_shareholders['Shares'] = df_mutualfund_shareholders['Shares'].apply(lambda x: long_number_format(x)) df_mutualfund_shareholders['Value'] = df_mutualfund_shareholders['Value'].apply(lambda x: long_number_format(x)) df_mutualfund_shareholders['Stake'] = df_mutualfund_shareholders['Stake'].apply(lambda x: str("{:.2f}".format(100*x))+' %') print(df_mutualfund_shareholders.to_string(index=False)) print("") except: print("") return # ---------------------------------------------------- SUSTAINABILITY ---------------------------------------------------- def sustainability(l_args, s_ticker): parser = argparse.ArgumentParser(prog='sust', description="""Print sustainability values of the company. The following fields are expected: Palmoil, Controversialweapons, Gambling, Socialscore, Nuclear, Furleather, Alcoholic, Gmo, Catholic, Socialpercentile, Peercount, Governancescore, Environmentpercentile, Animaltesting, Tobacco, Totalesg, Highestcontroversy, Esgperformance, Coal, Pesticides, Adult, Percentile, Peergroup, Smallarms, Environmentscore, Governancepercentile, Militarycontract. [Source: Yahoo Finance]""") try: (ns_parser, l_unknown_args) = parser.parse_known_args(l_args) if l_unknown_args: print(f"The following args couldn't be interpreted: {l_unknown_args}\n") return stock = yf.Ticker(s_ticker) pd.set_option('display.max_colwidth', -1) df_sustainability = stock.sustainability df_sustainability.index = [''.join(' ' + char if char.isupper() else char.strip() for char in idx).strip() for idx in df_sustainability.index.tolist()] df_sustainability.index = [s_val.capitalize() for s_val in df_sustainability.index] df_sustainability = df_sustainability.rename(index={"Controversialweapons": "Controversial Weapons", "Socialpercentile": "Social Percentile", "Peercount": "Peer Count", "Governancescore": "Governance Score", "Environmentpercentile": "Environment Percentile", "Animaltesting": "Animal Testing", "Highestcontroversy": "Highest Controversy", "Environmentscore": "Environment Score", "Governancepercentile": "Governance Percentile", "Militarycontract": "Military Contract"}) print(df_sustainability.to_string(header=False)) print("") except: print("") return # ---------------------------------------------------- CALENDAR_EARNINGS ---------------------------------------------------- def calendar_earnings(l_args, s_ticker): parser = argparse.ArgumentParser(prog='calendar_earnings', description="""Calendar earnings of the company. Including revenue and earnings estimates. [Source: Yahoo Finance]""") try: (ns_parser, l_unknown_args) = parser.parse_known_args(l_args) if l_unknown_args: print(f"The following args couldn't be interpreted: {l_unknown_args}\n") return stock = yf.Ticker(s_ticker) df_calendar = stock.calendar df_calendar.iloc[0,0] = df_calendar.iloc[0,0].date().strftime("%d/%m/%Y") df_calendar.iloc[:, 0] = df_calendar.iloc[:, 0].apply(lambda x: long_number_format(x)) print(f"Earnings Date: {df_calendar.iloc[:, 0]['Earnings Date']}") print(f"Earnings Estimate Avg: {df_calendar.iloc[:, 0]['Earnings Average']} [{df_calendar.iloc[:, 0]['Earnings Low']}, {df_calendar.iloc[:, 0]['Earnings High']}]") print(f"Revenue Estimate Avg: {df_calendar.iloc[:, 0]['Revenue Average']} [{df_calendar.iloc[:, 0]['Revenue Low']}, {df_calendar.iloc[:, 0]['Revenue High']}]") print("") except: print("") return