Files
OpenBB/openbb_terminal/stocks/comparison_analysis/ca_controller.py
James Maslek 27bf7207ee Small enhancements (#5146)
* Cosmetic changes + timeout bug

* cant spell

* Fix #5085

* Handle ca tickers + fix tests

* wrong type

* pylint
2023-06-16 14:46:11 +00:00

1008 lines
37 KiB
Python

"""Comparison Analysis Controller Module"""
__docformat__ = "numpy"
import argparse
import logging
import random
from datetime import datetime, timedelta
from typing import List, Optional
import yfinance as yf
from openbb_terminal.core.session.current_user import get_current_user
from openbb_terminal.custom_prompt_toolkit import NestedCompleter
from openbb_terminal.decorators import log_start_end
from openbb_terminal.helper_funcs import (
EXPORT_BOTH_RAW_DATA_AND_FIGURES,
EXPORT_ONLY_RAW_DATA_ALLOWED,
check_non_negative,
check_positive,
check_start_less_than_end,
valid_date,
)
from openbb_terminal.menu import session
from openbb_terminal.parent_classes import BaseController
from openbb_terminal.rich_config import MenuText, console, get_ordered_list_sources
from openbb_terminal.stocks.comparison_analysis import (
finbrain_view,
finnhub_model,
finviz_compare_model,
finviz_compare_view,
marketwatch_view,
polygon_model,
yahoo_finance_view,
)
# pylint: disable=E1121,C0302,R0904
# TODO: HELP WANTED! This controller still has some view functionality that should be
# refactored in order to implement an API wrapper. Use the discovery controller
# as an example.
logger = logging.getLogger(__name__)
class ComparisonAnalysisController(BaseController):
"""Comparison Analysis Controller class"""
CHOICES_COMMANDS = [
"ticker",
"get",
"set",
"add",
"rmv",
"historical",
"hcorr",
"volume",
"income",
"balance",
"cashflow",
"sentiment",
"scorr",
"overview",
"valuation",
"financial",
"ownership",
"performance",
"technical",
"tsne",
]
choices_ohlca = ["o", "h", "l", "c", "a"]
CHOICES_MENUS: List = list()
PATH = "/stocks/ca/"
CHOICES_GENERATION = True
def __init__(
self, similar: Optional[List[str]] = None, queue: Optional[List[str]] = None
):
"""Constructor"""
super().__init__(queue)
self.ticker = ""
self.user = ""
if similar:
self.similar = similar
if len(similar) == 1:
self.ticker = self.similar[0].upper()
else:
self.similar = []
if session and get_current_user().preferences.USE_PROMPT_TOOLKIT:
choices: dict = self.choices_default
self.completer = NestedCompleter.from_nested_dict(choices)
def call_exit(self, _) -> None:
"""Process exit terminal command from forecast menu."""
self.save_class()
for _ in range(self.PATH.count("/") + 1):
self.queue.insert(0, "quit")
def print_help(self):
"""Print help"""
mt = MenuText("stocks/ca/", 80)
mt.add_cmd("ticker")
mt.add_raw("\n")
mt.add_param("_ticker", self.ticker)
mt.add_raw("\n")
mt.add_cmd("tsne", self.ticker)
mt.add_cmd("get", self.ticker)
mt.add_raw("\n")
mt.add_cmd("set")
mt.add_cmd("add")
mt.add_cmd("rmv")
mt.add_raw("\n")
mt.add_param("_similar", ", ".join(self.similar))
mt.add_raw("\n")
mt.add_cmd("historical", self.similar and len(self.similar) > 1)
mt.add_cmd("hcorr", self.similar and len(self.similar) > 1)
mt.add_cmd("volume", self.similar and len(self.similar) > 1)
mt.add_cmd("income", self.similar and len(self.similar) > 1)
mt.add_cmd("balance", self.similar and len(self.similar) > 1)
mt.add_cmd("cashflow", self.similar and len(self.similar) > 1)
mt.add_cmd("sentiment", self.similar and len(self.similar) > 1)
mt.add_cmd("scorr", self.similar and len(self.similar) > 1)
mt.add_cmd("overview", self.similar and len(self.similar) > 1)
mt.add_cmd("valuation", self.similar and len(self.similar) > 1)
mt.add_cmd("financial", self.similar and len(self.similar) > 1)
mt.add_cmd("ownership", self.similar and len(self.similar) > 1)
mt.add_cmd("performance", self.similar and len(self.similar) > 1)
mt.add_cmd("technical", self.similar and len(self.similar) > 1)
console.print(text=mt.menu_text, menu="Stocks - Comparison Analysis")
def custom_reset(self):
"""Class specific component of reset command"""
if self.similar:
return ["stocks", "ca", f"set {','.join(self.similar)}"]
return []
# TODO: Figure out if this function is actually needed here
@log_start_end(log=logger)
def call_ticker(self, other_args: List[str]):
"""Process ticker command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="ticker",
description="""Set ticker to extract similar from""",
)
parser.add_argument(
"-t",
"--ticker",
dest="ticker",
type=str,
required="-h" not in other_args,
help="Ticker get similar tickers from",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-t")
ns_parser = self.parse_known_args_and_warn(parser, other_args)
if ns_parser:
if "," in ns_parser.ticker:
console.print("Only one ticker must be selected!")
else:
stock_data = yf.download(
ns_parser.ticker,
progress=False,
)
if stock_data.empty:
console.print(
f"The ticker '{ns_parser.ticker}' provided does not exist!"
)
else:
self.ticker = ns_parser.ticker.upper()
self.similar = []
@log_start_end(log=logger)
def call_tsne(self, other_args: List[str]):
"""Process tsne command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="tsne",
description="""Get similar companies to compare with using sklearn TSNE.""",
)
parser.add_argument(
"-r",
"--learnrate",
default=200,
dest="lr",
type=check_non_negative,
help="TSNE Learning rate. Typical values are between 50 and 200",
)
parser.add_argument(
"-l",
"--limit",
default=10,
dest="limit",
type=check_positive,
help="Limit of stocks to retrieve. The subsample will occur randomly.",
)
parser.add_argument(
"-p", "--no_plot", action="store_true", default=False, dest="no_plot"
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-l")
ns_parser = self.parse_known_args_and_warn(parser, other_args)
if ns_parser:
if self.ticker:
self.similar = yahoo_finance_view.display_sp500_comps_tsne(
self.ticker,
lr=ns_parser.lr,
no_plot=ns_parser.no_plot,
limit=ns_parser.limit,
)
self.similar = [self.ticker] + self.similar
console.print(
f"[ML] Similar Companies: {', '.join(self.similar)}", "\n"
)
else:
console.print(
"You need to 'set' a ticker to get similar companies from first! This is "
"for example done by running 'ticker gme'"
)
@log_start_end(log=logger)
def call_get(self, other_args: List[str]):
"""Process get command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="get",
description="""Get similar companies from selected data source (default: Finviz) to compare with.""",
)
parser.add_argument(
"-u",
"--us_only",
action="store_true",
default=False,
dest="us_only",
help="Show only stocks from the US stock exchanges. Works only with Polygon",
)
parser.add_argument(
"-n",
"--nocountry",
action="store_true",
default=False,
dest="b_no_country",
help="Similar stocks from finviz using only Industry and Sector.",
)
parser.add_argument(
"-l",
"--limit",
default=10,
dest="limit",
type=check_positive,
help="Limit of stocks to retrieve.",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-l")
ns_parser = self.parse_known_args_and_warn(parser, other_args)
if ns_parser:
if self.ticker:
if ns_parser.source == "Finviz":
compare_list = (
["Sector", "Industry"]
if ns_parser.b_no_country
else ["Sector", "Industry", "Country"]
)
self.similar = finviz_compare_model.get_similar_companies(
self.ticker, compare_list
)
if self.similar is None:
return
self.user = "Finviz"
if self.ticker.upper() in self.similar:
self.similar.remove(self.ticker.upper())
if len(self.similar) > ns_parser.limit:
random.shuffle(self.similar)
self.similar = sorted(self.similar[: ns_parser.limit])
console.print(
f"The limit of stocks to compare are {ns_parser.limit}. The subsample will occur randomly.\n",
)
if self.similar:
self.similar = [self.ticker] + self.similar
console.print(
f"[{self.user}] Similar Companies: {', '.join(self.similar)}",
)
elif ns_parser.source == "Polygon":
self.similar = polygon_model.get_similar_companies(
self.ticker, ns_parser.us_only
)
if self.similar is None:
return
self.user = "Polygon"
if self.ticker.upper() in self.similar:
self.similar.remove(self.ticker.upper())
if len(self.similar) > ns_parser.limit:
random.shuffle(self.similar)
self.similar = sorted(self.similar[: ns_parser.limit])
console.print(
f"The limit of stocks to compare are {ns_parser.limit}. The subsample will occur randomly.\n",
)
if self.similar:
self.similar = [self.ticker] + self.similar
console.print(
f"[{self.user}] Similar Companies: {', '.join(self.similar)}",
"\n",
)
elif ns_parser.source == "Finnhub":
self.similar = finnhub_model.get_similar_companies(self.ticker)
if self.similar:
self.user = "Finnhub"
if self.ticker.upper() in self.similar:
self.similar.remove(self.ticker.upper())
if len(self.similar) > ns_parser.limit:
random.shuffle(self.similar)
self.similar = sorted(self.similar[: ns_parser.limit])
console.print(
f"The limit of stocks to compare are {ns_parser.limit}."
" The subsample will occur randomly.\n",
)
self.similar = [self.ticker] + self.similar
console.print(
f"[{self.user}] Similar Companies: {', '.join(self.similar)}",
"\n",
)
else:
console.print(
f"Use a valid data source: {', '.join(get_ordered_list_sources(f'{self.PATH}get'))}"
)
else:
console.print(
"You need to 'set' a ticker to get similar companies from first! This is "
"for example done by running 'ticker aapl'"
)
@log_start_end(log=logger)
def call_add(self, other_args: List[str]):
"""Process add command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="add",
description="""Add similar tickers to compare with.""",
)
parser.add_argument(
"-s",
"--similar",
dest="l_similar",
type=lambda s: [str(item).upper() for item in s.split(",")],
default=[],
help="Tickers to add to similar list",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-s")
ns_parser = self.parse_known_args_and_warn(parser, other_args)
if ns_parser:
if self.similar:
self.similar = list(set(self.similar + ns_parser.l_similar))
else:
self.similar = ns_parser.l_similar
self.user = "Custom"
console.print(
f"[{self.user}] Similar Companies: {', '.join(self.similar)}", "\n"
)
@log_start_end(log=logger)
def call_rmv(self, other_args: List[str]):
"""Process rmv command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="rmv",
description="""Remove similar tickers to compare with.""",
)
parser.add_argument(
"-s",
"--similar",
dest="l_similar",
type=lambda s: [str(item).upper() for item in s.split(",")],
default=[],
help="Tickers to remove from similar list",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-s")
ns_parser = self.parse_known_args_and_warn(parser, other_args)
if ns_parser:
if ns_parser.l_similar:
for symbol in ns_parser.l_similar:
if symbol in self.similar:
self.similar.remove(symbol)
else:
console.print(
f"Ticker {symbol} does not exist in similar list to be removed"
)
console.print(
f"[{self.user}] Similar Companies: {', '.join(self.similar)}"
)
else:
self.similar = []
console.print()
self.user = "Custom"
@log_start_end(log=logger)
def call_set(self, other_args: List[str]):
"""Process set command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="set",
description="""Select similar companies to compare with.""",
)
parser.add_argument(
"-s",
"--similar",
dest="l_similar",
type=lambda s: [str(item).upper() for item in s.split(",")],
default=[],
help="similar companies to compare with.",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-s")
ns_parser = self.parse_known_args_and_warn(parser, other_args)
if ns_parser:
self.similar = list(set(ns_parser.l_similar + [self.ticker.upper()]))
self.user = "Custom"
console.print(
f"[{self.user}] Similar Companies: {', '.join(self.similar)}", "\n"
)
@log_start_end(log=logger)
def call_historical(self, other_args: List[str]):
"""Process historical command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="historical",
description="""Historical price comparison between similar companies.""",
)
parser.add_argument(
"-t",
"--type",
action="store",
dest="type_candle",
type=str,
choices=self.choices_ohlca,
default="a", # in case it's adjusted close
help="Candle data to use: o-open, h-high, l-low, c-close, a-adjusted close.",
)
parser.add_argument(
"-n",
"--normalize",
action="store_true",
dest="normalize",
default=False,
help="Flag to normalize all prices on same 0-1 scale",
)
parser.add_argument(
"-s",
"--start",
type=valid_date,
default=(datetime.now() - timedelta(days=366)).strftime("%Y-%m-%d"),
dest="start",
help="The starting date (format YYYY-MM-DD) of the stocks",
)
parser.add_argument(
"-e",
"--end",
type=valid_date,
default=(datetime.now()).strftime("%Y-%m-%d"),
dest="end",
help="The end date (format YYYY-MM-DD) of the stocks",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-t")
ns_parser = self.parse_known_args_and_warn(
parser, other_args, EXPORT_BOTH_RAW_DATA_AND_FIGURES
)
if ns_parser:
if self.similar and len(self.similar) > 1:
if check_start_less_than_end(ns_parser.start, ns_parser.end):
return
yahoo_finance_view.display_historical(
similar=self.similar,
start_date=ns_parser.start.strftime("%Y-%m-%d"),
end_date=ns_parser.end.strftime("%Y-%m-%d"),
candle_type=ns_parser.type_candle,
normalize=ns_parser.normalize,
export=ns_parser.export,
sheet_name=" ".join(ns_parser.sheet_name)
if ns_parser.sheet_name
else None,
)
else:
console.print(
"Please make sure there are more than 1 similar tickers selected. \n"
)
@log_start_end(log=logger)
def call_hcorr(self, other_args: List[str]):
"""Process historical correlation command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="hcorr",
description=""" Correlation heatmap based on historical price comparison between similar
companies.
""",
)
parser.add_argument(
"-t",
"--type",
action="store",
dest="type_candle",
type=str,
choices=self.choices_ohlca,
default="a", # in case it's adjusted close
help="Candle data to use: o-open, h-high, l-low, c-close, a-adjusted close, r-returns.",
)
parser.add_argument(
"-s",
"--start",
type=valid_date,
default=(datetime.now() - timedelta(days=366)).strftime("%Y-%m-%d"),
dest="start",
help="The starting date (format YYYY-MM-DD) of the stock",
)
parser.add_argument(
"-e",
"--end",
type=valid_date,
default=(datetime.now()).strftime("%Y-%m-%d"),
dest="end",
help="The end date (format YYYY-MM-DD) of the stocks",
)
parser.add_argument(
"--display-full-matrix",
action="store_true",
help="Display all matrix values, rather than masking off half.",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-t")
ns_parser = self.parse_known_args_and_warn(
parser, other_args, EXPORT_BOTH_RAW_DATA_AND_FIGURES, raw=True
)
if ns_parser:
if self.similar and len(self.similar) > 1:
if check_start_less_than_end(ns_parser.start, ns_parser.end):
return
yahoo_finance_view.display_correlation(
similar=self.similar,
start_date=ns_parser.start.strftime("%Y-%m-%d"),
end_date=ns_parser.end.strftime("%Y-%m-%d"),
candle_type=ns_parser.type_candle,
export=ns_parser.export,
sheet_name=" ".join(ns_parser.sheet_name)
if ns_parser.sheet_name
else None,
display_full_matrix=ns_parser.display_full_matrix,
raw=ns_parser.raw,
)
else:
console.print("Please make sure there are similar tickers selected. \n")
@log_start_end(log=logger)
def call_income(self, other_args: List[str]):
"""Process income command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="income",
description="""
Prints either yearly or quarterly income statement the company, and compares
it against similar companies.
""",
)
parser.add_argument(
"-q",
"--quarter",
action="store_true",
default=False,
dest="b_quarter",
help="Quarter financial data flag.",
)
parser.add_argument(
"-t",
"--timeframe",
dest="s_timeframe",
type=str,
default=None,
help="Specify yearly/quarterly timeframe. Default is last.",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-t")
ns_parser = self.parse_known_args_and_warn(
parser, other_args, EXPORT_ONLY_RAW_DATA_ALLOWED
)
if ns_parser:
marketwatch_view.display_income_comparison(
symbols=self.similar,
timeframe=ns_parser.s_timeframe,
quarter=ns_parser.b_quarter,
export=ns_parser.export,
sheet_name=" ".join(ns_parser.sheet_name)
if ns_parser.sheet_name
else None,
)
@log_start_end(log=logger)
def call_volume(self, other_args: List[str]):
"""Process volume command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="volume",
description="""Historical volume comparison between similar companies.
""",
)
parser.add_argument(
"-s",
"--start",
type=valid_date,
default=(datetime.now() - timedelta(days=366)).strftime("%Y-%m-%d"),
dest="start",
help="The starting date (format YYYY-MM-DD) of the stock",
)
parser.add_argument(
"-e",
"--end",
type=valid_date,
default=(datetime.now()).strftime("%Y-%m-%d"),
dest="end",
help="The end date (format YYYY-MM-DD) of the stocks",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-s")
ns_parser = self.parse_known_args_and_warn(
parser, other_args, EXPORT_BOTH_RAW_DATA_AND_FIGURES
)
if ns_parser:
if self.similar and len(self.similar) > 1:
if check_start_less_than_end(ns_parser.start, ns_parser.end):
return
yahoo_finance_view.display_volume(
similar=self.similar,
start_date=ns_parser.start.strftime("%Y-%m-%d"),
end_date=ns_parser.end.strftime("%Y-%m-%d"),
export=ns_parser.export,
sheet_name=" ".join(ns_parser.sheet_name)
if ns_parser.sheet_name
else None,
)
else:
console.print("Please make sure there are similar tickers selected. \n")
@log_start_end(log=logger)
def call_balance(self, other_args: List[str]):
"""Process balance command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="balance",
description="""
Prints either yearly or quarterly balance statement the company, and compares
it against similar companies.
""",
)
parser.add_argument(
"-q",
"--quarter",
action="store_true",
default=False,
dest="b_quarter",
help="Quarter financial data flag.",
)
parser.add_argument(
"-t",
"--timeframe",
dest="s_timeframe",
type=str,
default=None,
help="Specify yearly/quarterly timeframe. Default is last.",
)
ns_parser = self.parse_known_args_and_warn(
parser, other_args, EXPORT_ONLY_RAW_DATA_ALLOWED
)
if ns_parser:
marketwatch_view.display_balance_comparison(
symbols=self.similar,
timeframe=ns_parser.s_timeframe,
quarter=ns_parser.b_quarter,
export=ns_parser.export,
sheet_name=" ".join(ns_parser.sheet_name)
if ns_parser.sheet_name
else None,
)
@log_start_end(log=logger)
def call_cashflow(self, other_args: List[str]):
"""Process cashflow command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="cashflow",
description="""
Prints either yearly or quarterly cashflow statement the company, and compares
it against similar companies.
""",
)
parser.add_argument(
"-q",
"--quarter",
action="store_true",
default=False,
dest="b_quarter",
help="Quarter financial data flag.",
)
parser.add_argument(
"-t",
"--timeframe",
dest="s_timeframe",
type=str,
default=None,
help="Specify year/quarter of the cashflow statement to be retrieved. The format for year is YYYY and for "
"quarter is DD-MMM-YYY (for example, 30-Sep-2021). Default is last year/quarter.",
)
ns_parser = self.parse_known_args_and_warn(
parser, other_args, EXPORT_ONLY_RAW_DATA_ALLOWED
)
if ns_parser:
marketwatch_view.display_cashflow_comparison(
symbols=self.similar,
timeframe=ns_parser.s_timeframe,
quarter=ns_parser.b_quarter,
export=ns_parser.export,
sheet_name=" ".join(ns_parser.sheet_name)
if ns_parser.sheet_name
else None,
)
@log_start_end(log=logger)
def call_sentiment(self, other_args: List[str]):
"""Process sentiment command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="sentiment_compare",
description="""
FinBrain's sentiment comparison across similar tickers.
""",
)
parser.add_argument(
"-r",
"--raw",
action="store_true",
default=False,
help="Display raw sentiment data",
dest="raw",
)
ns_parser = self.parse_known_args_and_warn(
parser, other_args, EXPORT_ONLY_RAW_DATA_ALLOWED
)
if ns_parser:
if self.similar and len(self.similar) > 1:
finbrain_view.display_sentiment_compare(
similar=self.similar,
raw=ns_parser.raw,
export=ns_parser.export,
sheet_name=" ".join(ns_parser.sheet_name)
if ns_parser.sheet_name
else None,
)
else:
console.print(
"Please make sure there are more than 1 similar tickers selected. \n"
)
@log_start_end(log=logger)
def call_scorr(self, other_args: List[str]):
"""Process sentiment correlation command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="sentiment_compare",
description="""
FinBrain's sentiment correlation across similar tickers.
""",
)
parser.add_argument(
"-r",
"--raw",
action="store_true",
default=False,
help="Display raw sentiment data",
dest="raw",
)
ns_parser = self.parse_known_args_and_warn(
parser, other_args, EXPORT_ONLY_RAW_DATA_ALLOWED
)
if ns_parser:
if self.similar and len(self.similar) > 1:
finbrain_view.display_sentiment_correlation(
similar=self.similar,
raw=ns_parser.raw,
export=ns_parser.export,
sheet_name=" ".join(ns_parser.sheet_name)
if ns_parser.sheet_name
else None,
)
else:
console.print("Please make sure there are similar tickers selected. \n")
@log_start_end(log=logger)
def call_overview(self, other_args: List[str]):
"""Process overview command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="overview",
description="""
Prints screener data of similar companies. [Source: Finviz]
""",
)
ns_parser = self.parse_known_args_and_warn(
parser, other_args, EXPORT_ONLY_RAW_DATA_ALLOWED
)
if ns_parser:
if self.similar and len(self.similar) > 1:
finviz_compare_view.screener(
similar=self.similar,
data_type="overview",
export=ns_parser.export,
sheet_name=" ".join(ns_parser.sheet_name)
if ns_parser.sheet_name
else None,
)
else:
console.print(
"Please make sure there are more than 1 similar tickers selected. \n"
)
@log_start_end(log=logger)
def call_valuation(self, other_args: List[str]):
"""Process valuation command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="valuation",
description="""
Prints screener data of similar companies. [Source: Finviz]
""",
)
ns_parser = self.parse_known_args_and_warn(
parser, other_args, EXPORT_ONLY_RAW_DATA_ALLOWED
)
if ns_parser:
if self.similar and len(self.similar) > 1:
finviz_compare_view.screener(
similar=self.similar,
data_type="valuation",
export=ns_parser.export,
sheet_name=" ".join(ns_parser.sheet_name)
if ns_parser.sheet_name
else None,
)
else:
console.print(
"Please make sure there are more than 1 similar tickers selected. \n"
)
@log_start_end(log=logger)
def call_financial(self, other_args: List[str]):
"""Process financial command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="financial",
description="""
Prints screener data of similar companies. [Source: Finviz]
""",
)
ns_parser = self.parse_known_args_and_warn(
parser, other_args, EXPORT_ONLY_RAW_DATA_ALLOWED
)
if ns_parser:
if self.similar and len(self.similar) > 1:
finviz_compare_view.screener(
similar=self.similar,
data_type="financial",
export=ns_parser.export,
sheet_name=" ".join(ns_parser.sheet_name)
if ns_parser.sheet_name
else None,
)
else:
console.print(
"Please make sure there are more than 1 similar tickers selected. \n"
)
@log_start_end(log=logger)
def call_ownership(self, other_args: List[str]):
"""Process ownership command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="ownership",
description="""
Prints screener data of similar companies. [Source: Finviz]
""",
)
ns_parser = self.parse_known_args_and_warn(
parser, other_args, EXPORT_ONLY_RAW_DATA_ALLOWED
)
if ns_parser:
if self.similar and len(self.similar) > 1:
finviz_compare_view.screener(
similar=self.similar,
data_type="ownership",
export=ns_parser.export,
sheet_name=" ".join(ns_parser.sheet_name)
if ns_parser.sheet_name
else None,
)
else:
console.print(
"Please make sure there are more than 1 similar tickers selected. \n"
)
@log_start_end(log=logger)
def call_performance(self, other_args: List[str]):
"""Process performance command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="performance",
description="""
Prints screener data of similar companies. [Source: Finviz]
""",
)
ns_parser = self.parse_known_args_and_warn(
parser, other_args, EXPORT_ONLY_RAW_DATA_ALLOWED
)
if ns_parser:
if self.similar and len(self.similar) > 1:
finviz_compare_view.screener(
similar=self.similar,
data_type="performance",
export=ns_parser.export,
sheet_name=" ".join(ns_parser.sheet_name)
if ns_parser.sheet_name
else None,
)
else:
console.print(
"Please make sure there are more than 1 similar tickers selected. \n"
)
@log_start_end(log=logger)
def call_technical(self, other_args: List[str]):
"""Process technical command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="technical",
description="""
Prints screener data of similar companies. [Source: Finviz]
""",
)
ns_parser = self.parse_known_args_and_warn(
parser, other_args, EXPORT_ONLY_RAW_DATA_ALLOWED
)
if ns_parser:
if self.similar and len(self.similar) > 1:
finviz_compare_view.screener(
similar=self.similar,
data_type="technical",
export=ns_parser.export,
sheet_name=" ".join(ns_parser.sheet_name)
if ns_parser.sheet_name
else None,
)
else:
console.print(
"Please make sure there are more than 1 similar tickers selected. \n"
)