def test_load_clear(self):
stocks_helper.load(["GME"], "GME", self.start, "1440min",
pd.DataFrame())
values = stocks_helper.clear([], "GME", self.start, "1440min",
pd.DataFrame())
self.assertEqual(values[0], "")
self.assertEqual(values[1], "")
self.assertEqual(values[2], "")
def test_insider_activity(mocker, raw):
mocker.patch.object(target=businessinsider_view.gtff,
attribute="USE_ION",
new=False)
mocker.patch("matplotlib.pyplot.show")
yf_download = stocks_helper.yf.download
def mock_yf_download(*args, **kwargs):
kwargs["threads"] = False
return yf_download(*args, **kwargs)
mocker.patch("yfinance.download", side_effect=mock_yf_download)
ticker = "AAPL"
stock = stocks_helper.load(ticker=ticker)
businessinsider_view.insider_activity(
stock=stock,
ticker=ticker,
start=None,
interval="1440min",
num=5,
raw=raw,
export="",
)
def test_fails_to_deliver(mocker, raw):
# MOCK VISUALIZE_OUTPUT
mocker.patch(
target="gamestonk_terminal.helper_classes.TerminalStyle.visualize_output"
)
mocker.patch(
target="gamestonk_terminal.stocks.dark_pool_shorts.sec_model.get_fails_to_deliver",
new=mocker.Mock(return_value=df_fails_to_deliver.copy()),
)
stock = stocks_helper.load(
ticker="TSLA",
start=datetime.strptime("2021-12-18", "%Y-%m-%d"),
)
sec_view.fails_to_deliver(
ticker="PM",
stock=stock,
start=datetime.strptime("2021-12-18", "%Y-%m-%d"),
end=datetime.strptime("2021-12-19", "%Y-%m-%d"),
num=2,
raw=raw,
export="",
)
def test_display_candle(mocker, use_matplotlib):
mocker.patch.object(target=stocks_helper.gtff,
attribute="USE_ION",
new=False)
mocker.patch("matplotlib.pyplot.show")
mocker.patch("plotly.basedatatypes.BaseFigure.show")
# LOAD DATA
ticker = "GME"
start = datetime.strptime("2020-12-01", "%Y-%m-%d")
interval = 1440
end = datetime.strptime("2020-12-08", "%Y-%m-%d")
prepost = False
source = "yf"
df_stock = stocks_helper.load(
ticker=ticker,
start=start,
interval=interval,
end=end,
prepost=prepost,
source=source,
)
# PROCESS DATA
df_stock = stocks_helper.process_candle(df_data=df_stock)
# DISPLAY CANDLE
s_ticker = "GME"
intraday = False
stocks_helper.display_candle(
s_ticker=s_ticker,
df_stock=df_stock,
use_matplotlib=use_matplotlib,
intraday=intraday,
)
def call_load(self, other_args: List[str]):
"""Process load command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="load",
description=
"Load stock ticker to perform analysis on. When the data source is 'yf', an Indian ticker can be"
" loaded by using '.NS' at the end, e.g. 'SBIN.NS'. See available market in"
" https://help.yahoo.com/kb/exchanges-data-providers-yahoo-finance-sln2310.html.",
)
parser.add_argument(
"-t",
"--ticker",
action="store",
dest="ticker",
required="-h" not in other_args,
help="Stock ticker",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-t")
ns_parser = parse_known_args_and_warn(parser, other_args)
if ns_parser:
df_stock_candidate = stocks_helper.load(ns_parser.ticker, )
if not df_stock_candidate.empty:
if "." in ns_parser.ticker:
self.ticker = ns_parser.ticker.upper().split(".")[0]
else:
self.ticker = ns_parser.ticker.upper()
self.stock = df_stock_candidate
self.start = self.stock.index[0].strftime("%Y-%m-%d")
self.interval = "1440min"
def test_insider_activity(mocker, raw):
# MOCK VISUALIZE_OUTPUT
mocker.patch(
target="gamestonk_terminal.helper_classes.TerminalStyle.visualize_output"
)
yf_download = stocks_helper.yf.download
def mock_yf_download(*args, **kwargs):
kwargs["threads"] = False
return yf_download(*args, **kwargs)
mocker.patch("yfinance.download", side_effect=mock_yf_download)
ticker = "AAPL"
stock = stocks_helper.load(ticker=ticker)
businessinsider_view.insider_activity(
stock=stock,
ticker=ticker,
start=None,
interval="1440min",
num=5,
raw=raw,
export="",
)
def call_load(self, other_args: List[str]):
"""Process load command"""
self.ticker, self.start, self.interval, self.stock = load(
other_args, self.ticker, self.start, self.interval, self.stock)
if "." in self.ticker:
self.ticker, self.suffix = self.ticker.split(".")
else:
self.suffix = ""
def test_load(interval, recorder, source):
ticker = "GME"
start = datetime.strptime("2021-12-01", "%Y-%m-%d")
end = datetime.strptime("2021-12-02", "%Y-%m-%d")
prepost = False
result_df = stocks_helper.load(
ticker=ticker,
start=start,
interval=interval,
end=end,
prepost=prepost,
source=source,
)
recorder.capture(result_df)
def call_load(self, other_args: List[str]):
"""Process load command"""
self.ticker, self.start, self.interval, stock = load(
other_args, self.ticker, self.start, self.interval, self.stock)
if "." in self.ticker:
self.ticker = self.ticker.split(".")[0]
if "-h" not in other_args:
stock["Returns"] = stock["Adj Close"].pct_change()
stock["LogRet"] = np.log(stock["Adj Close"]) - np.log(
stock["Adj Close"].shift(1))
stock = stock.rename(columns={"Adj Close": "AdjClose"})
stock = stock.dropna()
self.stock = stock
def test_load_week_or_month(recorder, weekly, monthly):
ticker = "AAPL"
start = datetime.strptime("2019-12-01", "%Y-%m-%d")
end = datetime.strptime("2021-12-02", "%Y-%m-%d")
prepost = False
result_df = stocks_helper.load(
ticker=ticker,
start=start,
interval=1440,
end=end,
prepost=prepost,
source="yf",
weekly=weekly,
monthly=monthly,
)
recorder.capture(result_df)
def call_load(self, other_args: List[str]):
"""Process load command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="load",
description=
"Load stock ticker to perform analysis on. When the data " +
"source is 'yf', an Indian ticker can be loaded by using '.NS' at the end,"
+ " e.g. 'SBIN.NS'. See available market in" +
" https://help.yahoo.com/kb/exchanges-data-providers-yahoo-finance-sln2310.html.",
)
parser.add_argument(
"-t",
"--ticker",
action="store",
dest="ticker",
required="-h" not in other_args,
help="Stock ticker",
)
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",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-t")
ns_parser = parse_known_args_and_warn(parser, other_args)
if ns_parser:
df_stock_candidate = stocks_helper.load(
ns_parser.ticker,
ns_parser.start,
)
if not df_stock_candidate.empty:
self.start = ns_parser.start
if "." in ns_parser.ticker:
self.ticker = ns_parser.ticker.upper().split(".")[0]
else:
self.ticker = ns_parser.ticker.upper()
else:
console.print("Provide a valid ticker")
def test_price_target_from_analysts_plt(capsys, interval, mocker, start):
# MOCK VISUALIZE_OUTPUT
mocker.patch(
target="gamestonk_terminal.helper_classes.TerminalStyle.visualize_output"
)
ticker = "TSLA"
stock = load(ticker=ticker, start=start, interval=interval)
business_insider_view.price_target_from_analysts(
ticker=ticker,
start=start,
interval=interval,
stock=stock,
num=None,
raw=False,
export=None,
)
capsys.readouterr()
def test_price_target_from_analysts_plt(capsys, interval, mocker, start,
monkeypatch):
mock_show = mocker.Mock()
mocker.patch(target="matplotlib.pyplot.show", new=mock_show)
monkeypatch.setattr(business_insider_view.gtff, "USE_ION", False)
ticker = "TSLA"
stock = load(ticker=ticker, start=start, interval=interval)
business_insider_view.price_target_from_analysts(
ticker=ticker,
start=start,
interval=interval,
stock=stock,
num=None,
raw=False,
export=None,
)
capsys.readouterr()
mock_show.assert_called_once()
def test_fails_to_deliver(mocker, raw):
mocker.patch.object(target=sec_view.gtff, attribute="USE_ION", new=False)
mocker.patch("matplotlib.pyplot.show")
mocker.patch(
target="gamestonk_terminal.stocks.dark_pool_shorts.sec_model.get_fails_to_deliver",
new=mocker.Mock(return_value=df_fails_to_deliver.copy()),
)
stock = stocks_helper.load(
ticker="TSLA",
start=datetime.strptime("2021-12-18", "%Y-%m-%d"),
)
sec_view.fails_to_deliver(
ticker="PM",
stock=stock,
start=datetime.strptime("2021-12-18", "%Y-%m-%d"),
end=datetime.strptime("2021-12-19", "%Y-%m-%d"),
num=2,
raw=raw,
export="",
)
def test_display_candle(mocker, use_matplotlib):
# MOCK VISUALIZE_OUTPUT
mocker.patch(
target="gamestonk_terminal.helper_classes.TerminalStyle.visualize_output"
)
mocker.patch("plotly.basedatatypes.BaseFigure.show")
# LOAD DATA
ticker = "GME"
start = datetime.strptime("2020-12-01", "%Y-%m-%d")
interval = 1440
end = datetime.strptime("2020-12-08", "%Y-%m-%d")
prepost = False
source = "yf"
df_stock = stocks_helper.load(
ticker=ticker,
start=start,
interval=interval,
end=end,
prepost=prepost,
source=source,
)
# PROCESS DATA
df_stock = stocks_helper.process_candle(df=df_stock)
# DISPLAY CANDLE
s_ticker = "GME"
intraday = False
stocks_helper.display_candle(
s_ticker=s_ticker,
df_stock=df_stock,
use_matplotlib=use_matplotlib,
intraday=intraday,
)
def call_load(self, other_args: List[str]):
"""Process load command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="load",
description=
"Load stock ticker and alter the industry, sector, country and market cap "
"accordingly for this ticker.",
)
parser.add_argument(
"-t",
"--ticker",
action="store",
dest="ticker",
required="-h" not in other_args,
help="Stock ticker",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-t")
ns_parser = parse_known_args_and_warn(parser, other_args)
if ns_parser:
df_stock_candidate = stocks_helper.load(ns_parser.ticker, )
if not df_stock_candidate.empty:
if "." in ns_parser.ticker:
self.ticker = ns_parser.ticker.upper().split(".")[0]
else:
self.ticker = ns_parser.ticker.upper()
data = yf.utils.get_json(
f"https://finance.yahoo.com/quote/{self.ticker}")
if "summaryProfile" in data:
self.country = data["summaryProfile"]["country"]
if self.country not in financedatabase_model.get_countries(
):
similar_cmd = difflib.get_close_matches(
self.country,
financedatabase_model.get_countries(),
n=1,
cutoff=0.7,
)
if similar_cmd:
self.country = similar_cmd[0]
self.sector = data["summaryProfile"]["sector"]
if self.sector not in financedatabase_model.get_sectors():
similar_cmd = difflib.get_close_matches(
self.sector,
financedatabase_model.get_sectors(),
n=1,
cutoff=0.7,
)
if similar_cmd:
self.sector = similar_cmd[0]
self.industry = data["summaryProfile"]["industry"]
if self.industry not in financedatabase_model.get_industries(
):
similar_cmd = difflib.get_close_matches(
self.industry,
financedatabase_model.get_industries(),
n=1,
cutoff=0.7,
)
if similar_cmd:
self.industry = similar_cmd[0]
if "price" in data:
mktcap = data["price"]["marketCap"]
if mktcap < 2_000_000_000:
self.mktcap = "Small"
elif mktcap > 10_000_000_000:
self.mktcap = "Large"
else:
self.mktcap = "Mid"
self.stocks_data = {}
self.update_runtime_choices()
def call_load(self, other_args: List[str]):
"""Process load command."""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="load",
description=
"Load stock ticker to perform analysis on. When the data source " +
"is 'yf', an Indian ticker can be loaded by using '.NS' at the end, e.g. "
+ "'SBIN.NS'. See available market in" +
" https://help.yahoo.com/kb/exchanges-data-providers-yahoo-finance-sln2310.html.",
)
parser.add_argument(
"-t",
"--ticker",
action="store",
dest="ticker",
required="-h" not in other_args,
help="Stock ticker",
)
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(
"-i",
"--interval",
action="store",
dest="interval",
type=int,
default=1440,
choices=stocks_helper.INTERVALS,
help="Intraday stock minutes",
)
parser.add_argument(
"--source",
action="store",
dest="source",
choices=stocks_helper.SOURCES,
default="yf",
help="Source of historical data.",
)
# For the case where a user uses: 'load BB'
if other_args and "-t" not in other_args and "-h" not in other_args:
other_args.insert(0, "-t")
ns_parser = parse_known_args_and_warn(parser, other_args,
EXPORT_ONLY_RAW_DATA_ALLOWED)
if ns_parser:
df_stock_candidate = stocks_helper.load(
ticker=ns_parser.ticker,
start=ns_parser.start,
interval=ns_parser.interval,
source=ns_parser.source,
)
if not df_stock_candidate.empty:
self.start = ns_parser.start
self.interval = str(ns_parser.interval) + "min"
if "." in ns_parser.ticker:
self.ticker = ns_parser.ticker.upper().split(".")[0]
else:
self.ticker = ns_parser.ticker.upper()
def call_load(self, other_args: List[str]):
"""Process load command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="load",
description="Load stock ticker to perform analysis on. When the data source is syf', an Indian ticker can be"
" loaded by using '.NS' at the end, e.g. 'SBIN.NS'. See available market in"
" https://help.yahoo.com/kb/exchanges-data-providers-yahoo-finance-sln2310.html.",
)
parser.add_argument(
"-t",
"--ticker",
action="store",
dest="ticker",
required="-h" not in other_args,
help="Stock ticker",
)
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 ending date (format YYYY-MM-DD) of the stock",
)
parser.add_argument(
"-i",
"--interval",
action="store",
dest="interval",
type=int,
default=1440,
choices=[1, 5, 15, 30, 60],
help="Intraday stock minutes",
)
parser.add_argument(
"--source",
action="store",
dest="source",
choices=["yf", "av", "iex"] if "-i" not in other_args else ["yf"],
default="yf",
help="Source of historical data.",
)
parser.add_argument(
"-p",
"--prepost",
action="store_true",
default=False,
dest="prepost",
help="Pre/After market hours. Only works for 'yf' source, and intraday data",
)
parser.add_argument(
"-r",
"--iexrange",
dest="iexrange",
help="Range for using the iexcloud api. Note that longer range requires more tokens in account",
choices=["ytd", "1y", "2y", "5y", "6m"],
type=str,
default="ytd",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-t")
ns_parser = parse_known_args_and_warn(parser, other_args)
if ns_parser:
df_stock_candidate = stocks_helper.load(
ns_parser.ticker,
ns_parser.start,
ns_parser.interval,
ns_parser.end,
ns_parser.prepost,
ns_parser.source,
)
if not df_stock_candidate.empty:
self.stock = df_stock_candidate
if "." in ns_parser.ticker:
self.ticker, self.suffix = ns_parser.ticker.upper().split(".")
else:
self.ticker = ns_parser.ticker.upper()
self.suffix = ""
if ns_parser.source == "iex":
self.start = self.stock.index[0].strftime("%Y-%m-%d")
else:
self.start = ns_parser.start
self.interval = f"{ns_parser.interval}min"
def call_load(self, other_args: List[str]):
"""Process load command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="load",
description=
"Load stock ticker to perform analysis on. When the data source" +
" is syf', an Indian ticker can be" +
" loaded by using '.NS' at the end, e.g. 'SBIN.NS'. See available market in"
+
" https://help.yahoo.com/kb/exchanges-data-providers-yahoo-finance-sln2310.html.",
)
parser.add_argument(
"-t",
"--ticker",
action="store",
dest="ticker",
required="-h" not in other_args,
help="Stock ticker",
)
parser.add_argument(
"-s",
"--start",
type=valid_date,
default=(datetime.now() -
timedelta(days=1100)).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 ending date (format YYYY-MM-DD) of the stock",
)
parser.add_argument(
"-i",
"--interval",
action="store",
dest="interval",
type=int,
default=1440,
choices=[1, 5, 15, 30, 60],
help="Intraday stock minutes",
)
parser.add_argument(
"--source",
action="store",
dest="source",
choices=["yf", "av", "iex"] if "-i" not in other_args else ["yf"],
default="yf",
help="Source of historical data.",
)
parser.add_argument(
"-p",
"--prepost",
action="store_true",
default=False,
dest="prepost",
help=
"Pre/After market hours. Only works for 'yf' source, and intraday data",
)
parser.add_argument(
"-f",
"--file",
default=None,
help="Path to load custom file.",
dest="filepath",
type=str,
)
parser.add_argument(
"-m",
"--monthly",
action="store_true",
default=False,
help="Load monthly data",
dest="monthly",
)
parser.add_argument(
"-w",
"--weekly",
action="store_true",
default=False,
help="Load weekly data",
dest="weekly",
)
parser.add_argument(
"-r",
"--iexrange",
dest="iexrange",
help=
"Range for using the iexcloud api. Note that longer range requires more tokens in account",
choices=["ytd", "1y", "2y", "5y", "6m"],
type=str,
default="ytd",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-t")
ns_parser = parse_known_args_and_warn(parser, other_args)
if ns_parser:
if ns_parser.weekly and ns_parser.monthly:
console.print(
"[red]Only one of monthly or weekly can be selected.[/red]\n."
)
return
if ns_parser.filepath is None:
df_stock_candidate = stocks_helper.load(
ns_parser.ticker,
ns_parser.start,
ns_parser.interval,
ns_parser.end,
ns_parser.prepost,
ns_parser.source,
weekly=ns_parser.weekly,
monthly=ns_parser.monthly,
)
else:
# This seems to block the .exe since the folder needs to be manually created
# This block basically makes sure that we only look for the file if the -f flag is used
# If we add files in the argparse choices, it will fail for the .exe even if no -f is used
try:
if ns_parser.filepath not in os.listdir(
os.path.join("custom_imports", "stocks")):
console.print(
f"[red]{ns_parser.filepath} not found in custom_imports/stocks/ folder[/red].\n"
)
return
except Exception as e:
console.print(e)
return
df_stock_candidate = stocks_helper.load_custom(
os.path.join(os.path.join("custom_imports", "stocks"),
ns_parser.filepath))
if df_stock_candidate.empty:
return
if not df_stock_candidate.empty:
self.stock = df_stock_candidate
self.add_info = stocks_helper.additional_info_about_ticker(
ns_parser.ticker)
console.print(self.add_info)
if "." in ns_parser.ticker:
self.ticker, self.suffix = ns_parser.ticker.upper().split(
".")
else:
self.ticker = ns_parser.ticker.upper()
self.suffix = ""
if ns_parser.source == "iex":
self.start = self.stock.index[0].strftime("%Y-%m-%d")
else:
self.start = ns_parser.start
self.interval = f"{ns_parser.interval}min"
if self.PATH in ["/stocks/qa/", "/stocks/pred/"]:
self.stock["Returns"] = self.stock["Adj Close"].pct_change(
)
self.stock["LogRet"] = np.log(
self.stock["Adj Close"]) - np.log(
self.stock["Adj Close"].shift(1))
self.stock["LogPrice"] = np.log(self.stock["Adj Close"])
self.stock = self.stock.rename(
columns={"Adj Close": "AdjClose"})
self.stock = self.stock.dropna()
self.stock.columns = [
x.lower() for x in self.stock.columns
]
console.print("")
def call_load(self, other_args: List[str]):
"""Process load command"""
self.ticker, self.start, _, self.stock = load(other_args, self.ticker,
self.start, "1440min",
self.stock)
def test_load(self):
values = stocks_helper.load(["GME"], "GME", self.start, "1440min",
pd.DataFrame())
self.assertEqual(values[0], "GME")
self.assertNotEqual(values[1], None)
self.assertEqual(values[2], "1440min")
def call_load(self, other_args: List[str]):
"""Process load command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="load",
description=
"Load stock ticker to perform analysis on. When the data source" +
" is 'yf', an Indian ticker can be loaded by using '.NS' at the end,"
+ " e.g. 'SBIN.NS'. See available market in" +
" https://help.yahoo.com/kb/exchanges-data-providers-yahoo-finance-sln2310.html.",
)
parser.add_argument(
"-t",
"--ticker",
action="store",
dest="ticker",
required="-h" not in other_args,
help="Stock ticker",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-t")
ns_parser = parse_known_args_and_warn(parser, other_args)
if ns_parser:
df_stock_candidate = stocks_helper.load(ns_parser.ticker, )
if not df_stock_candidate.empty:
if "." in ns_parser.ticker:
self.ticker = ns_parser.ticker.upper().split(".")[0]
else:
self.ticker = ns_parser.ticker.upper()
data = yf.utils.get_json(
f"https://finance.yahoo.com/quote/{self.ticker}")
if "summaryProfile" in data:
self.country = data["summaryProfile"]["country"]
if self.country not in financedatabase_model.get_countries(
):
similar_cmd = difflib.get_close_matches(
self.country,
financedatabase_model.get_countries(),
n=1,
cutoff=0.7,
)
if similar_cmd:
self.country = similar_cmd[0]
self.sector = data["summaryProfile"]["sector"]
if self.sector not in financedatabase_model.get_sectors():
similar_cmd = difflib.get_close_matches(
self.sector,
financedatabase_model.get_sectors(),
n=1,
cutoff=0.7,
)
if similar_cmd:
self.sector = similar_cmd[0]
self.industry = data["summaryProfile"]["industry"]
if self.industry not in financedatabase_model.get_industries(
):
similar_cmd = difflib.get_close_matches(
self.industry,
financedatabase_model.get_industries(),
n=1,
cutoff=0.7,
)
if similar_cmd:
self.industry = similar_cmd[0]
if "price" in data:
mktcap = data["price"]["marketCap"]
if mktcap < 2_000_000_000:
self.mktcap = "Small"
elif mktcap > 10_000_000_000:
self.mktcap = "Large"
else:
self.mktcap = "Mid"
self.stocks_data = {}
self.update_runtime_choices()
def call_load(self, other_args: List[str]):
"""Process load command"""
self.ticker, _, _, _ = load(other_args, self.ticker, "", "1440min",
pd.DataFrame())
if "." in self.ticker:
self.ticker = self.ticker.split(".")[0]
def call_load(self, other_args: List[str]):
"""Process load command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="load",
description=
"Load stock ticker to perform analysis on. When the data source" +
" is 'yf', an Indian ticker can be loaded by using '.NS' at the end,"
+ " e.g. 'SBIN.NS'. See available market in" +
" https://help.yahoo.com/kb/exchanges-data-providers-yahoo-finance-sln2310.html.",
)
parser.add_argument(
"-t",
"--ticker",
action="store",
dest="ticker",
required="-h" not in other_args,
help="Stock ticker",
)
parser.add_argument(
"-s",
"--start",
type=valid_date,
default=(datetime.now() -
timedelta(days=1100)).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 ending date (format YYYY-MM-DD) of the stock",
)
parser.add_argument(
"-i",
"--interval",
action="store",
dest="interval",
type=int,
default=1440,
choices=self.stock_interval,
help="Intraday stock minutes",
)
parser.add_argument(
"--source",
action="store",
dest="source",
choices=self.stock_sources,
default="yf",
help="Source of historical data.",
)
parser.add_argument(
"-p",
"--prepost",
action="store_true",
default=False,
dest="prepost",
help=
"Pre/After market hours. Only works for 'yf' source, and intraday data",
)
# For the case where a user uses: 'load BB'
if other_args and "-t" not in other_args and "-h" not in other_args:
other_args.insert(0, "-t")
ns_parser = parse_known_args_and_warn(parser, other_args)
if ns_parser:
df_stock_candidate = stocks_helper.load(
ns_parser.ticker,
ns_parser.start,
ns_parser.interval,
ns_parser.end,
ns_parser.prepost,
ns_parser.source,
)
if not df_stock_candidate.empty:
self.stock = df_stock_candidate
if "." in ns_parser.ticker:
self.ticker = ns_parser.ticker.upper().split(".")[0]
else:
self.ticker = ns_parser.ticker.upper()
self.start = ns_parser.start
self.interval = str(ns_parser.interval) + "min"
self.stock["Returns"] = self.stock["Adj Close"].pct_change()
self.stock["LogRet"] = np.log(
self.stock["Adj Close"]) - np.log(
self.stock["Adj Close"].shift(1))
self.stock["LogPrice"] = np.log(self.stock["Adj Close"])
self.stock = self.stock.rename(
columns={"Adj Close": "AdjClose"})
self.stock = self.stock.dropna()
self.stock.columns = [x.lower() for x in self.stock.columns]
console.print("")