def test_reader_chart_range(self):
from datetime import date, timedelta
syms = ["AAPL"]
# source: pandas datareader
assert (HistoricalReader(symbols=syms,
start=date.today() - timedelta(days=5),
end=date.today()).chart_range == "5d")
assert (HistoricalReader(symbols=syms,
start=date.today() - timedelta(days=27),
end=date.today()).chart_range == "1m")
assert (HistoricalReader(symbols=syms,
start=date.today() - timedelta(days=83),
end=date.today()).chart_range == "3m")
assert (HistoricalReader(symbols=syms,
start=date.today() - timedelta(days=167),
end=date.today()).chart_range == "6m")
assert (HistoricalReader(symbols=syms,
start=date.today() - timedelta(days=170),
end=date.today()).chart_range == "1y")
assert (HistoricalReader(symbols=syms,
start=date.today() - timedelta(days=365),
end=date.today()).chart_range == "2y")
assert (HistoricalReader(symbols=syms,
start=date.today() - timedelta(days=730),
end=date.today()).chart_range == "5y")
assert (HistoricalReader(
symbols=syms,
start=date.today() - timedelta(days=1826),
end=date.today(),
).chart_range == "max")
def test_reader_chart_range(self):
from datetime import date, timedelta
syms = ["AAPL"]
# source: pandas datareader
assert HistoricalReader(symbols=syms,
start=date.today() - timedelta(days=5),
end=date.today()).chart_range == '5d'
assert HistoricalReader(symbols=syms,
start=date.today() - timedelta(days=27),
end=date.today()).chart_range == '1m'
assert HistoricalReader(symbols=syms,
start=date.today() - timedelta(days=83),
end=date.today()).chart_range == '3m'
assert HistoricalReader(symbols=syms,
start=date.today() - timedelta(days=167),
end=date.today()).chart_range == '6m'
assert HistoricalReader(symbols=syms,
start=date.today() - timedelta(days=170),
end=date.today()).chart_range == '1y'
assert HistoricalReader(symbols=syms,
start=date.today() - timedelta(days=365),
end=date.today()).chart_range == '2y'
assert HistoricalReader(symbols=syms,
start=date.today() - timedelta(days=730),
end=date.today()).chart_range == '5y'
assert HistoricalReader(symbols=syms,
start=date.today() - timedelta(days=1826),
end=date.today()).chart_range == 'max'
def get_historical_data(symbols, start, end=None, close_only=False, **kwargs):
"""
Function to obtain historical date for a symbol or list of
symbols. Return an instance of HistoricalReader
Reference: https://iextrading.com/developer/docs/#chart
Parameters
----------
symbols: str or list
A symbol or list of symbols
start : string, int, date, datetime, Timestamp
Starting date. Parses many different kind of date
representations (e.g., 'JAN-01-2010', '1/1/10', 'Jan, 1, 1980').
Defaults to 15 years before current date.
end : string, int, date, datetime, Timestamp
Ending date
close_only: bool, default False
Returns adjusted data only with keys ``date``, ``close``, and
``volume``
kwargs:
Additional Request Parameters (see base class)
Returns
-------
list or DataFrame
Historical stock prices over date range, start to end
"""
return HistoricalReader(
symbols, start=start, end=end, close_only=close_only, **kwargs
).fetch()
def get_historical_data(symbols, start, end=None, close_only=False, **kwargs):
"""
Function to obtain historical date for a symbol or list of
symbols. Return an instance of HistoricalReader
Reference: https://iextrading.com/developer/docs/#chart
Parameters
----------
symbols: str or list
A symbol or list of symbols
start: datetime.datetime
Beginning of desired date range
end: datetime.datetime, optional, default None
End of required date range
close_only: bool, default False
Returns adjusted data only with keys ``date``, ``close``, and
``volume``
kwargs:
Additional Request Parameters (see base class)
Returns
-------
list or DataFrame
Historical stock prices over date range, start to end
"""
return HistoricalReader(symbols,
start=start,
end=end,
close_only=close_only,
**kwargs).fetch()
def get_historical_data(symbols, start=None, end=None, **kwargs):
"""
Function to obtain historical date for a symbol or list of
symbols. Return an instance of HistoricalReader
Parameters
----------
symbols: str or list
A symbol or list of symbols
start: datetime.datetime, default None
Beginning of desired date range
end: datetime.datetime, default None
End of required date range
kwargs:
Additional Request Parameters (see base class)
Returns
-------
list or DataFrame
Historical stock prices over date range, start to end
"""
start, end = _sanitize_dates(start, end)
return HistoricalReader(symbols, start=start, end=end, **kwargs).fetch()