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Artem Veremey
2021-02-28 21:52:08 -08:00
parent ca6265d9cf
commit d1da43a5db
7 changed files with 165 additions and 139 deletions
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162
gamestonk_terminal/fundamental_analysis/alpha_vantage_api.py
View File

@@ -1,34 +1,35 @@
from alpha_vantage.fundamentaldata import FundamentalData
from gamestonk_terminal import config_terminal as cfg
import argparse
from gamestonk_terminal.helper_funcs import *
import pandas as pd
import json
import requests
from alpha_vantage.fundamentaldata import FundamentalData
import pandas as pd
from pandas.io.json import json_normalize
from gamestonk_terminal import config_terminal as cfg
from gamestonk_terminal.helper_funcs import check_positive, long_number_format
# ---------------------------------------------------- OVERVIEW ----------------------------------------------------
def overview(l_args, s_ticker):
parser = argparse.ArgumentParser(
prog="overview",
description="""Prints an overview about the company. The following fields are expected:
Symbol, Asset type, Name, Description, Exchange, Currency, Country, Sector, Industry,
Address, Full time employees, Fiscal year end, Latest quarter, Market capitalization,
EBITDA, PE ratio, PEG ratio, Book value, Dividend per share, Dividend yield, EPS,
Revenue per share TTM, Profit margin, Operating margin TTM, Return on assets TTM,
Return on equity TTM, Revenue TTM, Gross profit TTM, Diluted EPS TTM, Quarterly earnings growth YOY,
Quarterly revenue growth YOY, Analyst target price, Trailing PE, Forward PE,
Price to sales ratio TTM, Price to book ratio, EV to revenue, EV to EBITDA, Beta, 52 week high,
52 week low, 50 day moving average, 200 day moving average, Shares outstanding, Shares float,
Shares short, Shares short prior month, Short ratio, Short percent outstanding, Short percent float,
Percent insiders, Percent institutions, Forward annual dividend rate, Forward annual dividend yield,
Payout ratio, Dividend date, Ex dividend date, Last split factor, and Last split date.
[Source: Alpha Vantage]""",
description="""
Prints an overview about the company. The following fields are expected:
Symbol, Asset type, Name, Description, Exchange, Currency, Country, Sector, Industry,
Address, Full time employees, Fiscal year end, Latest quarter, Market capitalization,
EBITDA, PE ratio, PEG ratio, Book value, Dividend per share, Dividend yield, EPS,
Revenue per share TTM, Profit margin, Operating margin TTM, Return on assets TTM,
Return on equity TTM, Revenue TTM, Gross profit TTM, Diluted EPS TTM, Quarterly earnings growth YOY,
Quarterly revenue growth YOY, Analyst target price, Trailing PE, Forward PE,
Price to sales ratio TTM, Price to book ratio, EV to revenue, EV to EBITDA, Beta, 52 week high,
52 week low, 50 day moving average, 200 day moving average, Shares outstanding, Shares float,
Shares short, Shares short prior month, Short ratio, Short percent outstanding, Short percent float,
Percent insiders, Percent institutions, Forward annual dividend rate, Forward annual dividend yield,
Payout ratio, Dividend date, Ex dividend date, Last split factor, and Last split date.
[Source: Alpha Vantage]
""",
)
try:
(ns_parser, l_unknown_args) = parser.parse_known_args(l_args)
(_, 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")
@@ -84,7 +85,8 @@ def overview(l_args, s_ticker):
print(f"Error: {result.status_code}")
print("")
except:
except Exception as e:
print(e)
print("")
return
@@ -93,15 +95,16 @@ def overview(l_args, s_ticker):
def key(l_args, s_ticker):
parser = argparse.ArgumentParser(
prog="key",
description="""Gives main key metrics about the company (it's a subset of the
Overview data from Alpha Vantage API). The following fields are expected:
Market capitalization, EBITDA, EPS, PE ratio, PEG ratio, Price to book ratio,
Return on equity TTM, Payout ratio, Price to sales ratio TTM, Dividend yield,
50 day moving average, Analyst target price, Beta [Source: Alpha Vantage API]""",
description="""
Gives main key metrics about the company (it's a subset of the Overview data from Alpha Vantage API).
The following fields are expected: Market capitalization, EBITDA, EPS, PE ratio, PEG ratio, Price to book ratio,
Return on equity TTM, Payout ratio, Price to sales ratio TTM, Dividend yield, 50 day moving average, Analyst
target price, Beta [Source: Alpha Vantage API]
""",
)
try:
(ns_parser, l_unknown_args) = parser.parse_known_args(l_args)
(_, 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")
@@ -156,7 +159,8 @@ def key(l_args, s_ticker):
print("")
except:
except Exception as e:
print(e)
print("")
return
@@ -165,14 +169,15 @@ def key(l_args, s_ticker):
def income_statement(l_args, s_ticker):
parser = argparse.ArgumentParser(
prog="incom",
description="""Prints a complete income statement over time. This can be either quarterly
or annually. The following fields are expected: Accepted date, Cost and expenses, Cost of
revenue, Depreciation and amortization, Ebitda, Ebitdaratio, Eps, Epsdiluted, Filling date,
Final link, General and administrative expenses, Gross profit, Gross profit ratio, Income
before tax, Income before tax ratio, Income tax expense, Interest expense, Link, Net income,
Net income ratio, Operating expenses, Operating income, Operating income ratio, Other expenses,
Period, Research and development expenses, Revenue, Selling and marketing expenses, Total other
income expenses net, Weighted average shs out, Weighted average shs out dil [Source: Alpha Vantage]""",
description="""
Prints a complete income statement over time. This can be either quarterly or annually.
The following fields are expected: Accepted date, Cost and expenses, Cost of revenue, Depreciation
and amortization, Ebitda, Ebitdaratio, Eps, Epsdiluted, Filling date, Final link, General and
administrative expenses, Gross profit, Gross profit ratio, Income before tax, Income before tax ratio,
Income tax expense, Interest expense, Link, Net income, Net income ratio, Operating expenses,
Operating income, Operating income ratio, Other expenses, Period, Research and development expenses,
Revenue, Selling and marketing expenses, Total other income expenses net, Weighted average shs out,
Weighted average shs out dil [Source: Alpha Vantage]""",
)
parser.add_argument(
@@ -207,15 +212,19 @@ def income_statement(l_args, s_ticker):
fd = FundamentalData(key=cfg.API_KEY_ALPHAVANTAGE, output_format="pandas")
if ns_parser.b_quarter:
df_fa, d_fd_metadata = fd.get_income_statement_quarterly(symbol=s_ticker)
# pylint: disable=unbalanced-tuple-unpacking
df_fa, _ = fd.get_income_statement_quarterly(symbol=s_ticker)
else:
df_fa, d_fd_metadata = fd.get_income_statement_annual(symbol=s_ticker)
# pylint: disable=unbalanced-tuple-unpacking
df_fa, _ = fd.get_income_statement_annual(symbol=s_ticker)
# pylint: disable=no-member
df_fa = df_fa.set_index("fiscalDateEnding")
df_fa = df_fa.head(n=ns_parser.n_num).T
df_fa = df_fa.mask(df_fa.astype(object).eq(ns_parser.n_num * ["None"])).dropna()
df_fa = df_fa.mask(df_fa.astype(object).eq(ns_parser.n_num * ["0"])).dropna()
df_fa = df_fa.applymap(lambda x: long_number_format(x))
# begin problematic for pylint
df_fa.index = [
"".join(
" " + char if char.isupper() else char.strip() for char in idx
@@ -224,11 +233,13 @@ def income_statement(l_args, s_ticker):
]
df_fa.index = [s_val.capitalize() for s_val in df_fa.index]
df_fa.columns.name = "Fiscal Date Ending"
# end problematic for pylint
print(df_fa)
print("")
except:
except Exception as e:
print(e)
print("")
return
@@ -237,20 +248,19 @@ def income_statement(l_args, s_ticker):
def balance_sheet(l_args, s_ticker):
parser = argparse.ArgumentParser(
prog="balance",
description="""Prints a complete balance sheet statement over time. This can be
either quarterly or annually. The following fields are expected: Accepted date,
Account payables, Accumulated other comprehensive income loss, Cash and cash
equivalents, Cash and short term investments, Common stock, Deferred revenue,
Deferred revenue non current, Deferred tax liabilities non current, Filling date,
Final link, Goodwill, Goodwill and intangible assets, Intangible assets, Inventory,
Link, Long term debt, Long term investments, Net debt, Net receivables, Other assets,
Other current assets, Other current liabilities, Other liabilities, Other non current
assets, Other non current liabilities, Othertotal stockholders equity, Period, Property
plant equipment net, Retained earnings, Short term debt, Short term investments, Tax assets,
Tax payables, Total assets, Total current assets, Total current liabilities, Total debt,
Total investments, Total liabilities, Total liabilities and stockholders equity, Total
non current assets, Total non current liabilities, and Total stockholders equity.
[Source: Alpha Vantage]""",
description="""
Prints a complete balance sheet statement over time. This can be either quarterly or annually.
The following fields are expected: Accepted date, Account payables, Accumulated other comprehensive
income loss, Cash and cash equivalents, Cash and short term investments, Common stock, Deferred revenue,
Deferred revenue non current, Deferred tax liabilities non current, Filling date, Final link, Goodwill,
Goodwill and intangible assets, Intangible assets, Inventory, Link, Long term debt, Long term investments,
Net debt, Net receivables, Other assets, Other current assets, Other current liabilities, Other liabilities,
Other non current assets, Other non current liabilities, Othertotal stockholders equity, Period, Property
plant equipment net, Retained earnings, Short term debt, Short term investments, Tax assets, Tax payables,
Total assets, Total current assets, Total current liabilities, Total debt, Total investments, Total
liabilities, Total liabilities and stockholders equity, Total non current assets, Total non current
liabilities, and Total stockholders equity. [Source: Alpha Vantage]
""",
)
parser.add_argument(
@@ -285,9 +295,9 @@ def balance_sheet(l_args, s_ticker):
fd = FundamentalData(key=cfg.API_KEY_ALPHAVANTAGE, output_format="pandas")
if ns_parser.b_quarter:
df_fa, d_fd_metadata = fd.get_balance_sheet_quarterly(symbol=s_ticker)
df_fa, _ = fd.get_balance_sheet_quarterly(symbol=s_ticker)
else:
df_fa, d_fd_metadata = fd.get_balance_sheet_annual(symbol=s_ticker)
df_fa, _ = fd.get_balance_sheet_annual(symbol=s_ticker)
df_fa = df_fa.set_index("fiscalDateEnding")
df_fa = df_fa.head(n=ns_parser.n_num).T
@@ -306,7 +316,8 @@ def balance_sheet(l_args, s_ticker):
print("")
except:
except Exception as e:
print(e)
print("")
return
@@ -315,17 +326,18 @@ def balance_sheet(l_args, s_ticker):
def cash_flow(l_args, s_ticker):
parser = argparse.ArgumentParser(
prog="cash",
description="""Prints a complete cash flow statement over time. This can be either
quarterly or annually. The following fields are expected: Accepted date, Accounts payables,
Accounts receivables, Acquisitions net, Capital expenditure, Cash at beginning of period,
Cash at end of period, Change in working capital, Common stock issued, Common stock repurchased,
Debt repayment, Deferred income tax, Depreciation and amortization, Dividends paid,
Effect of forex changes on cash, Filling date, Final link, Free cash flow, Inventory,
Investments in property plant and equipment, Link, Net cash provided by operating activities,
Net cash used for investing activites, Net cash used provided by financing activities, Net
change in cash, Net income, Operating cash flow, Other financing activites, Other investing
activites, Other non cash items, Other working capital, Period, Purchases of investments,
Sales maturities of investments, Stock based compensation. [Source: Alpha Vantage]""",
description="""
Prints a complete cash flow statement over time. This can be either quarterly or annually. The following
fields are expected: Accepted date, Accounts payables, Accounts receivables, Acquisitions net, Capital
expenditure, Cash at beginning of period, Cash at end of period, Change in working capital, Common stock
issued, Common stock repurchased, Debt repayment, Deferred income tax, Depreciation and amortization,
Dividends paid, Effect of forex changes on cash, Filling date, Final link, Free cash flow, Inventory,
Investments in property plant and equipment, Link, Net cash provided by operating activities, Net cash
used for investing activites, Net cash used provided by financing activities, Net change in cash, Net income,
Operating cash flow, Other financing activites, Other investing activites, Other non cash items, Other working
capital, Period, Purchases of investments, Sales maturities of investments, Stock based compensation.
[Source: Alpha Vantage]
""",
)
parser.add_argument(
@@ -360,9 +372,9 @@ def cash_flow(l_args, s_ticker):
fd = FundamentalData(key=cfg.API_KEY_ALPHAVANTAGE, output_format="pandas")
if ns_parser.b_quarter:
df_fa, d_fd_metadata = fd.get_cash_flow_quarterly(symbol=s_ticker)
df_fa, _ = fd.get_cash_flow_quarterly(symbol=s_ticker)
else:
df_fa, d_fd_metadata = fd.get_cash_flow_annual(symbol=s_ticker)
df_fa, _ = fd.get_cash_flow_annual(symbol=s_ticker)
df_fa = df_fa.set_index("fiscalDateEnding")
df_fa = df_fa.head(n=ns_parser.n_num).T
@@ -381,7 +393,8 @@ def cash_flow(l_args, s_ticker):
print("")
except:
except Exception as e:
print(e)
print("")
return
@@ -390,9 +403,10 @@ def cash_flow(l_args, s_ticker):
def earnings(l_args, s_ticker):
parser = argparse.ArgumentParser(
prog="earnings",
description="""Print earnings dates and reported EPS of the company.
The following fields are expected: Fiscal Date Ending and Reported EPS.
[Source: Alpha Vantage]""",
description="""
Print earnings dates and reported EPS of the company. The following fields are expected: Fiscal Date
Ending and Reported EPS. [Source: Alpha Vantage]
""",
)
parser.add_argument(
@@ -470,7 +484,7 @@ def earnings(l_args, s_ticker):
print("")
except:
except Exception as e:
print(e)
print("")
return

9
gamestonk_terminal/fundamental_analysis/business_insider_api.py
View File

@@ -1,13 +1,9 @@
import argparse
import re
import json
from datetime import datetime
import requests
from bs4 import BeautifulSoup
import pandas as pd
from fuzzywuzzy import fuzz
from gamestonk_terminal.helper_funcs import get_user_agent
from gamestonk_terminal import config_terminal as cfg
# ---------------------------------------------------- MANAGEMENT ----------------------------------------------------
@@ -21,7 +17,7 @@ def management(l_args, s_ticker):
)
try:
(ns_parser, l_unknown_args) = parser.parse_known_args(l_args)
(_, 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")
@@ -87,6 +83,7 @@ def management(l_args, s_ticker):
print(f"{df_management['Insider Activity'][ind]}")
print("")
except:
except Exception as e:
print(e)
print("")
return

6
gamestonk_terminal/fundamental_analysis/fa_menu.py
View File

@@ -66,6 +66,7 @@ def print_fundamental_analysis(s_ticker, s_start, s_interval):
# ---------------------------------------------------- INFO ----------------------------------------------------
# pylint: disable=unused-argument
def info(l_args, s_ticker):
parser = argparse.ArgumentParser(
prog="info",
@@ -76,7 +77,7 @@ def info(l_args, s_ticker):
)
try:
(ns_parser, l_unknown_args) = parser.parse_known_args(l_args)
(_, 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}")
@@ -89,7 +90,8 @@ def info(l_args, s_ticker):
line = fp.readline()
print("")
except:
except Exception as e:
print(e)
print("ERROR!\n")
return

4
gamestonk_terminal/fundamental_analysis/financial_modeling_prep_api.py
View File

@@ -21,7 +21,7 @@ def profile(l_args, s_ticker):
)
try:
(ns_parser, l_unknown_args) = parser.parse_known_args(l_args)
(_, 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")
@@ -62,7 +62,7 @@ def quote(l_args, s_ticker):
)
try:
(ns_parser, l_unknown_args) = parser.parse_known_args(l_args)
(_, 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")

32
gamestonk_terminal/fundamental_analysis/finviz_api.py
View File

@@ -1,6 +1,5 @@
import finviz
import argparse
from gamestonk_terminal.helper_funcs import *
import finviz
import pandas as pd
@@ -8,21 +7,23 @@ import pandas as pd
def screener(l_args, s_ticker):
parser = argparse.ArgumentParser(
prog="screener",
description="""Print several metrics about the company. The following fields are expected:
Company, Sector, Industry, Country, Index, P/E, EPS (ttm), Insider Own,
Shs Outstand, Perf Week, Market Cap, Forward P/E, EPS next Y, Insider Trans,
Shs Float, Perf Month, Income, EPS next Q, Inst Own, Short Float, Perf Quarter,
Sales, P/S, EPS this Y, Inst Trans, Short Ratio, Perf Half Y, Book/sh, P/B, ROA,
Target Price, Perf Year, Cash/sh, P/C, ROE, 52W Range, Perf YTD, P/FCF, EPS past 5Y,
ROI, 52W High, Beta, Quick Ratio, Sales past 5Y, Gross Margin, 52W Low, ATR,
Employees, Current Ratio, Sales Q/Q, Oper. Margin, RSI (14), Volatility, Optionable,
Debt/Eq, EPS Q/Q, Profit Margin, Rel Volume, Prev Close, Shortable, LT Debt/Eq,
Earnings, Payout, Avg Volume, Price, Recom, SMA20, SMA50, SMA200, Volume, Change.
[Source: Finviz]""",
description="""
Print several metrics about the company. The following fields are expected:
Company, Sector, Industry, Country, Index, P/E, EPS (ttm), Insider Own,
Shs Outstand, Perf Week, Market Cap, Forward P/E, EPS next Y, Insider Trans,
Shs Float, Perf Month, Income, EPS next Q, Inst Own, Short Float, Perf Quarter,
Sales, P/S, EPS this Y, Inst Trans, Short Ratio, Perf Half Y, Book/sh, P/B, ROA,
Target Price, Perf Year, Cash/sh, P/C, ROE, 52W Range, Perf YTD, P/FCF, EPS past 5Y,
ROI, 52W High, Beta, Quick Ratio, Sales past 5Y, Gross Margin, 52W Low, ATR,
Employees, Current Ratio, Sales Q/Q, Oper. Margin, RSI (14), Volatility, Optionable,
Debt/Eq, EPS Q/Q, Profit Margin, Rel Volume, Prev Close, Shortable, LT Debt/Eq,
Earnings, Payout, Avg Volume, Price, Recom, SMA20, SMA50, SMA200, Volume, Change.
[Source: Finviz]
""",
)
try:
(ns_parser, l_unknown_args) = parser.parse_known_args(l_args)
(_, 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")
@@ -37,6 +38,7 @@ def screener(l_args, s_ticker):
print("")
except:
except Exception as e:
print(e)
print("")
return

2
gamestonk_terminal/fundamental_analysis/market_watch_api.py
View File

@@ -1,7 +1,7 @@
import argparse
import requests
import pandas as pd
from bs4 import BeautifulSoup
import requests
from gamestonk_terminal.helper_funcs import get_user_agent
# ---------------------------------------------------- INCOME ----------------------------------------------------

89
gamestonk_terminal/fundamental_analysis/yahoo_finance_api.py
View File

@@ -1,36 +1,39 @@
import argparse
from datetime import datetime
import yfinance as yf
import pandas as pd
from gamestonk_terminal import config_terminal as cfg
import argparse
from gamestonk_terminal.helper_funcs import *
from gamestonk_terminal.helper_funcs import long_number_format
# ---------------------------------------------------- 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]""",
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)
(_, 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")
@@ -73,7 +76,8 @@ def info(l_args, s_ticker):
print(df_info.loc["Long business summary"].values[0])
print("")
except:
except Exception as e:
print(e)
print("")
return
@@ -86,7 +90,7 @@ def shareholders(l_args, s_ticker):
)
try:
(ns_parser, l_unknown_args) = parser.parse_known_args(l_args)
(_, 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")
@@ -141,7 +145,8 @@ def shareholders(l_args, s_ticker):
print("")
except:
except Exception as e:
print(e)
print("")
return
@@ -150,15 +155,17 @@ def shareholders(l_args, s_ticker):
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]""",
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)
(_, 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")
@@ -197,7 +204,8 @@ def sustainability(l_args, s_ticker):
print(df_sustainability.to_string(header=False))
print("")
except:
except Exception as e:
print(e)
print("")
return
@@ -206,12 +214,13 @@ def sustainability(l_args, s_ticker):
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]""",
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)
(_, 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")
@@ -226,14 +235,16 @@ def calendar_earnings(l_args, s_ticker):
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']}]"
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']}]"
f"Revenue Estimate Avg: {df_calendar.iloc[:, 0]['Revenue Average']} \
[{df_calendar.iloc[:, 0]['Revenue Low']}, {df_calendar.iloc[:, 0]['Revenue High']}]"
)
print("")
except:
except Exception as e:
print(e)
print("")
return