mirror of
https://github.com/OpenBB-finance/OpenBB.git
synced 2026-11-07 18:01:10 +00:00
10
website/content/SDK/common/qa/es/_index.rst
vendored
10
website/content/SDK/common/qa/es/_index.rst
vendored
@@ -26,7 +26,7 @@ common.qa.es(
|
||||
.. raw:: html
|
||||
|
||||
<p>
|
||||
Gets Expected Shortfall for specified stock dataframe
|
||||
Gets Expected Shortfall for specified stock dataframe.
|
||||
</p>
|
||||
|
||||
* **Parameters**
|
||||
@@ -47,10 +47,8 @@ common.qa.es(
|
||||
|
||||
* **Returns**
|
||||
|
||||
list
|
||||
list of ES
|
||||
list
|
||||
list of historical ES
|
||||
pd.DataFrame
|
||||
DataFrame with Expected Shortfall per percentile
|
||||
|
||||
|
|
||||
|
||||
@@ -75,7 +73,7 @@ common.qa.es(
|
||||
.. raw:: html
|
||||
|
||||
<p>
|
||||
Displays expected shortfall
|
||||
Displays expected shortfall.
|
||||
</p>
|
||||
|
||||
* **Parameters**
|
||||
|
||||
10
website/content/SDK/common/qa/var/_index.rst
vendored
10
website/content/SDK/common/qa/var/_index.rst
vendored
@@ -27,7 +27,7 @@ common.qa.var(
|
||||
.. raw:: html
|
||||
|
||||
<p>
|
||||
Gets value at risk for specified stock dataframe
|
||||
Gets value at risk for specified stock dataframe.
|
||||
</p>
|
||||
|
||||
* **Parameters**
|
||||
@@ -50,10 +50,8 @@ common.qa.var(
|
||||
|
||||
* **Returns**
|
||||
|
||||
list
|
||||
list of VaR
|
||||
list
|
||||
list of historical VaR
|
||||
pd.DataFrame
|
||||
DataFrame with Value at Risk per percentile
|
||||
|
||||
|
|
||||
|
||||
@@ -80,7 +78,7 @@ common.qa.var(
|
||||
.. raw:: html
|
||||
|
||||
<p>
|
||||
Displays VaR of dataframe
|
||||
Displays VaR of dataframe.
|
||||
</p>
|
||||
|
||||
* **Parameters**
|
||||
|
||||
@@ -16,8 +16,8 @@ To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
crypto.dd.active(
|
||||
symbol: str,
|
||||
interval: str = '24h',
|
||||
start_date: int = 1262304000,
|
||||
end_date: int = 1667908975,
|
||||
start_date: int = 1262322000,
|
||||
end_date: int = 1668033690,
|
||||
chart: bool = False,
|
||||
) -> pandas.core.frame.DataFrame
|
||||
{{< /highlight >}}
|
||||
|
||||
@@ -2,12 +2,7 @@
|
||||
:language: python
|
||||
:class: highlight
|
||||
|
||||
<<<<<<< HEAD:website/content/SDK/crypto/dd/change/_index.md
|
||||
## Get underlying data
|
||||
### crypto.dd.change(symbol: str, exchange: str = 'binance', start_date: int = 1262322000, end_date: int = 1667592183) -> pandas.core.frame.DataFrame
|
||||
=======
|
||||
|
|
||||
>>>>>>> main:website/content/SDK/crypto/dd/change/_index.rst
|
||||
|
||||
To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
|
||||
@@ -21,8 +16,8 @@ To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
crypto.dd.change(
|
||||
symbol: str,
|
||||
exchange: str = 'binance',
|
||||
start_date: int = 1262304000,
|
||||
end_date: int = 1667908975,
|
||||
start_date: int = 1262322000,
|
||||
end_date: int = 1668033690,
|
||||
chart: bool = False,
|
||||
) -> pandas.core.frame.DataFrame
|
||||
{{< /highlight >}}
|
||||
|
||||
@@ -14,7 +14,7 @@
|
||||
crypto.dd.close(
|
||||
symbol: str,
|
||||
start_date: str = '2010-01-01',
|
||||
end_date: str = '2022-11-08',
|
||||
end_date: str = '2022-11-09',
|
||||
print_errors: bool = True,
|
||||
chart: bool = False,
|
||||
) -> pandas.core.frame.DataFrame
|
||||
|
||||
9
website/content/SDK/crypto/dd/eb/_index.rst
vendored
9
website/content/SDK/crypto/dd/eb/_index.rst
vendored
@@ -2,12 +2,7 @@
|
||||
:language: python
|
||||
:class: highlight
|
||||
|
||||
<<<<<<< HEAD:website/content/SDK/crypto/dd/eb/_index.md
|
||||
## Get underlying data
|
||||
### crypto.dd.eb(symbol: str, exchange: str = 'binance', start_date: int = 1262322000, end_date: int = 1667592183) -> pandas.core.frame.DataFrame
|
||||
=======
|
||||
|
|
||||
>>>>>>> main:website/content/SDK/crypto/dd/eb/_index.rst
|
||||
|
||||
To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
|
||||
@@ -21,8 +16,8 @@ To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
crypto.dd.eb(
|
||||
symbol: str,
|
||||
exchange: str = 'binance',
|
||||
start_date: int = 1262304000,
|
||||
end_date: int = 1667908975,
|
||||
start_date: int = 1262322000,
|
||||
end_date: int = 1668033690,
|
||||
chart: bool = False,
|
||||
) -> pandas.core.frame.DataFrame
|
||||
{{< /highlight >}}
|
||||
|
||||
8
website/content/SDK/crypto/dd/gh/_index.rst
vendored
8
website/content/SDK/crypto/dd/gh/_index.rst
vendored
@@ -17,8 +17,8 @@ crypto.dd.gh(
|
||||
symbol: str,
|
||||
dev_activity: bool = False,
|
||||
interval: str = '1d',
|
||||
start_date: str = '2021-11-08T12:02:55Z',
|
||||
end_date: str = '2022-11-08T12:02:55Z',
|
||||
start_date: str = '2021-11-09T17:41:30Z',
|
||||
end_date: str = '2022-11-09T17:41:30Z',
|
||||
chart: bool = False,
|
||||
) -> pandas.core.frame.DataFrame
|
||||
{{< /highlight >}}
|
||||
@@ -63,9 +63,9 @@ crypto.dd.gh(
|
||||
{{< highlight python >}}
|
||||
crypto.dd.gh(
|
||||
symbol: str,
|
||||
start_date: str = '2021-11-08T12:02:55Z',
|
||||
start_date: str = '2021-11-09T17:41:30Z',
|
||||
dev_activity: bool = False,
|
||||
end_date: str = '2022-11-08T12:02:55Z',
|
||||
end_date: str = '2022-11-09T17:41:30Z',
|
||||
interval: str = '1d',
|
||||
export: str = '',
|
||||
external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None,
|
||||
|
||||
@@ -16,8 +16,8 @@ To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
crypto.dd.mcapdom(
|
||||
symbol: str,
|
||||
interval: str = '1d',
|
||||
start_date: str = '2021-11-08',
|
||||
end_date: str = '2022-11-08',
|
||||
start_date: str = '2021-11-09',
|
||||
end_date: str = '2022-11-09',
|
||||
chart: bool = False,
|
||||
) -> pandas.core.frame.DataFrame
|
||||
{{< /highlight >}}
|
||||
@@ -59,8 +59,8 @@ crypto.dd.mcapdom(
|
||||
{{< highlight python >}}
|
||||
crypto.dd.mcapdom(
|
||||
symbol: str,
|
||||
start_date: str = '2021-11-08',
|
||||
end_date: str = '2022-11-08',
|
||||
start_date: str = '2021-11-09',
|
||||
end_date: str = '2022-11-09',
|
||||
interval: str = '1d',
|
||||
export: str = '',
|
||||
external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None,
|
||||
|
||||
8
website/content/SDK/crypto/dd/mt/_index.rst
vendored
8
website/content/SDK/crypto/dd/mt/_index.rst
vendored
@@ -17,8 +17,8 @@ crypto.dd.mt(
|
||||
symbol: str,
|
||||
timeseries_id: str,
|
||||
interval: str = '1d',
|
||||
start_date: str = '2021-11-08',
|
||||
end_date: str = '2022-11-08',
|
||||
start_date: str = '2021-11-09',
|
||||
end_date: str = '2022-11-09',
|
||||
chart: bool = False,
|
||||
) -> Tuple[pandas.core.frame.DataFrame, str]
|
||||
{{< /highlight >}}
|
||||
@@ -65,8 +65,8 @@ crypto.dd.mt(
|
||||
crypto.dd.mt(
|
||||
symbol: str,
|
||||
timeseries_id: str,
|
||||
start_date: str = '2021-11-08',
|
||||
end_date: str = '2022-11-08',
|
||||
start_date: str = '2021-11-09',
|
||||
end_date: str = '2022-11-09',
|
||||
interval: str = '1d',
|
||||
export: str = '',
|
||||
external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None,
|
||||
|
||||
@@ -15,8 +15,8 @@ To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
{{< highlight python >}}
|
||||
crypto.dd.nonzero(
|
||||
symbol: str,
|
||||
start_date: int = 1262304000,
|
||||
end_date: int = 1667908975,
|
||||
start_date: int = 1262322000,
|
||||
end_date: int = 1668033690,
|
||||
chart: bool = False,
|
||||
) -> pandas.core.frame.DataFrame
|
||||
{{< /highlight >}}
|
||||
|
||||
4
website/content/SDK/crypto/load/_index.rst
vendored
4
website/content/SDK/crypto/load/_index.rst
vendored
@@ -14,12 +14,12 @@
|
||||
crypto.load(
|
||||
symbol: 'str',
|
||||
start_date: 'datetime' = datetime.datetime(
|
||||
2019, 11, 4, 12, 2, 54, 720992, chart: bool = False,
|
||||
2019, 11, 5, 17, 41, 30, 140491, chart: bool = False,
|
||||
), interval: 'str' = '1440',
|
||||
exchange: 'str' = 'binance',
|
||||
vs_currency: 'str' = 'usdt',
|
||||
end_date: 'datetime' = datetime.datetime(
|
||||
2022, 11, 8, 12, 2, 54, 720993, chart: bool = False,
|
||||
2022, 11, 9, 17, 41, 30, 140493, chart: bool = False,
|
||||
), source: 'str' = 'CCXT',
|
||||
chart: bool = False,
|
||||
) -> 'pd.DataFrame'
|
||||
|
||||
@@ -37,8 +37,8 @@ crypto.onchain.btc_supply() -> pandas.core.frame.DataFrame
|
||||
|
||||
{{< highlight python >}}
|
||||
crypto.onchain.btc_supply(
|
||||
start_date: int = 1262304000,
|
||||
end_date: int = 1667908975,
|
||||
start_date: int = 1262322000,
|
||||
end_date: int = 1668033690,
|
||||
export: str = '',
|
||||
external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None,
|
||||
chart: bool = False,
|
||||
|
||||
@@ -37,8 +37,8 @@ crypto.onchain.btc_transac() -> pandas.core.frame.DataFrame
|
||||
|
||||
{{< highlight python >}}
|
||||
crypto.onchain.btc_transac(
|
||||
start_date: int = 1262304000,
|
||||
end_date: int = 1667908975,
|
||||
start_date: int = 1262322000,
|
||||
end_date: int = 1668033690,
|
||||
export: str = '',
|
||||
external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None,
|
||||
chart: bool = False,
|
||||
|
||||
@@ -16,8 +16,8 @@ To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
crypto.onchain.hr(
|
||||
symbol: str,
|
||||
interval: str = '24h',
|
||||
start_date: int = 1289476975,
|
||||
end_date: int = 1667908975,
|
||||
start_date: int = 1289601690,
|
||||
end_date: int = 1668033690,
|
||||
chart: bool = False,
|
||||
) -> pandas.core.frame.DataFrame
|
||||
{{< /highlight >}}
|
||||
@@ -59,8 +59,8 @@ crypto.onchain.hr(
|
||||
{{< highlight python >}}
|
||||
crypto.onchain.hr(
|
||||
symbol: str,
|
||||
start_date: int = 1636372975,
|
||||
end_date: int = 1667908975,
|
||||
start_date: int = 1636497690,
|
||||
end_date: int = 1668033690,
|
||||
interval: str = '24h',
|
||||
export: str = '',
|
||||
external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None,
|
||||
|
||||
@@ -2,12 +2,7 @@
|
||||
:language: python
|
||||
:class: highlight
|
||||
|
||||
<<<<<<< HEAD:website/content/SDK/crypto/ov/altindex/_index.md
|
||||
## Get underlying data
|
||||
### crypto.ov.altindex(period: int = 30, start_date: int = 1262322000, end_date: int = 1667592183) -> pandas.core.frame.DataFrame
|
||||
=======
|
||||
|
|
||||
>>>>>>> main:website/content/SDK/crypto/ov/altindex/_index.rst
|
||||
|
||||
To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
|
||||
@@ -20,8 +15,8 @@ To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
{{< highlight python >}}
|
||||
crypto.ov.altindex(
|
||||
period: int = 30,
|
||||
start_date: int = 1262304000,
|
||||
end_date: int = 1667908975,
|
||||
start_date: int = 1262322000,
|
||||
end_date: int = 1668033690,
|
||||
chart: bool = False,
|
||||
) -> pandas.core.frame.DataFrame
|
||||
{{< /highlight >}}
|
||||
@@ -52,12 +47,7 @@ crypto.ov.altindex(
|
||||
pandas.DataFrame:
|
||||
Date, Value (Altcoin Index)
|
||||
|
||||
<<<<<<< HEAD:website/content/SDK/crypto/ov/altindex/_index.md
|
||||
## Getting charts
|
||||
### crypto.ov.altindex(period: int = 365, start_date: int = 1262322000, end_date: int = 1667592183, export: str = '', external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None, chart=True) -> None
|
||||
=======
|
||||
|
|
||||
>>>>>>> main:website/content/SDK/crypto/ov/altindex/_index.rst
|
||||
|
||||
.. raw:: html
|
||||
|
||||
@@ -68,8 +58,8 @@ crypto.ov.altindex(
|
||||
{{< highlight python >}}
|
||||
crypto.ov.altindex(
|
||||
period: int = 365,
|
||||
start_date: int = 1262304000,
|
||||
end_date: int = 1667908975,
|
||||
start_date: int = 1262322000,
|
||||
end_date: int = 1668033690,
|
||||
export: str = '',
|
||||
external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None,
|
||||
chart: bool = False,
|
||||
|
||||
@@ -15,7 +15,7 @@ To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
{{< highlight python >}}
|
||||
crypto.ov.btcrb(
|
||||
start_date: str = '2010-01-01',
|
||||
end_date: str = '2022-11-08',
|
||||
end_date: str = '2022-11-09',
|
||||
chart: bool = False,
|
||||
)
|
||||
{{< /highlight >}}
|
||||
@@ -49,7 +49,7 @@ crypto.ov.btcrb(
|
||||
{{< highlight python >}}
|
||||
crypto.ov.btcrb(
|
||||
start_date: str = '2010-01-01',
|
||||
end_date: str = '2022-11-08',
|
||||
end_date: str = '2022-11-09',
|
||||
export: str = '',
|
||||
external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None,
|
||||
chart: bool = False,
|
||||
|
||||
@@ -13,8 +13,8 @@
|
||||
{{< highlight python >}}
|
||||
economy.events(
|
||||
countries: Union[List[str], str] = '',
|
||||
start_date: str = '2022-11-08',
|
||||
end_date: str = '2022-11-08',
|
||||
start_date: str = '2022-11-09',
|
||||
end_date: str = '2022-11-09',
|
||||
chart: bool = False,
|
||||
) -> pandas.core.frame.DataFrame
|
||||
{{< /highlight >}}
|
||||
|
||||
14
website/content/SDK/economy/macro/_index.rst
vendored
14
website/content/SDK/economy/macro/_index.rst
vendored
@@ -2,12 +2,7 @@
|
||||
:language: python
|
||||
:class: highlight
|
||||
|
||||
<<<<<<< HEAD:website/content/SDK/economy/macro/_index.md
|
||||
## Get underlying data
|
||||
### economy.macro(parameters: list = None, countries: list = None, transform: str = '', start_date: str = '1900-01-01', end_date=datetime.date(2022, 11, 4), symbol: str = '') -> Tuple[Any, Dict[Any, Dict[Any, Any]], str]
|
||||
=======
|
||||
|
|
||||
>>>>>>> main:website/content/SDK/economy/macro/_index.rst
|
||||
|
||||
To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
|
||||
@@ -24,7 +19,7 @@ economy.macro(
|
||||
transform: str = '',
|
||||
start_date: str = '1900-01-01',
|
||||
end_date=datetime.date(
|
||||
2022, 11, 8, chart: bool = False,
|
||||
2022, 11, 9, chart: bool = False,
|
||||
), symbol: str = '',
|
||||
chart: bool = False,
|
||||
) -> Tuple[Any, Dict[Any, Dict[Any, Any]], str]
|
||||
@@ -63,12 +58,7 @@ economy.macro(
|
||||
str
|
||||
Denomination which can be Trillions, Billions, Millions, Thousands
|
||||
|
||||
<<<<<<< HEAD:website/content/SDK/economy/macro/_index.md
|
||||
## Getting charts
|
||||
### economy.macro(parameters: list = None, countries: list = None, transform: str = '', start_date: str = '1900-01-01', end_date: str = '2022-11-04', symbol: str = '', raw: bool = False, external_axes: Optional[List[axes]] = None, export: str = '', chart=True)
|
||||
=======
|
||||
|
|
||||
>>>>>>> main:website/content/SDK/economy/macro/_index.rst
|
||||
|
||||
.. raw:: html
|
||||
|
||||
@@ -82,7 +72,7 @@ economy.macro(
|
||||
countries: list = None,
|
||||
transform: str = '',
|
||||
start_date: str = '1900-01-01',
|
||||
end_date: str = '2022-11-08',
|
||||
end_date: str = '2022-11-09',
|
||||
symbol: str = '',
|
||||
raw: bool = False,
|
||||
external_axes: Optional[List[axes]] = None,
|
||||
|
||||
14
website/content/SDK/economy/treasury/_index.rst
vendored
14
website/content/SDK/economy/treasury/_index.rst
vendored
@@ -2,12 +2,7 @@
|
||||
:language: python
|
||||
:class: highlight
|
||||
|
||||
<<<<<<< HEAD:website/content/SDK/economy/treasury/_index.md
|
||||
## Get underlying data
|
||||
### economy.treasury(instruments: list = None, maturities: list = None, frequency: str = 'monthly', start_date: str = '1900-01-01', end_date: str = '2022-11-04') -> pandas.core.frame.DataFrame
|
||||
=======
|
||||
|
|
||||
>>>>>>> main:website/content/SDK/economy/treasury/_index.rst
|
||||
|
||||
To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
|
||||
@@ -23,7 +18,7 @@ economy.treasury(
|
||||
maturities: list = None,
|
||||
frequency: str = 'monthly',
|
||||
start_date: str = '1900-01-01',
|
||||
end_date: str = '2022-11-08',
|
||||
end_date: str = '2022-11-09',
|
||||
chart: bool = False,
|
||||
) -> pandas.core.frame.DataFrame
|
||||
{{< /highlight >}}
|
||||
@@ -56,12 +51,7 @@ economy.treasury(
|
||||
treasury_data: pd.Dataframe
|
||||
Holds data of the selected types and maturities
|
||||
|
||||
<<<<<<< HEAD:website/content/SDK/economy/treasury/_index.md
|
||||
## Getting charts
|
||||
### economy.treasury(instruments: list = None, maturities: list = None, frequency: str = 'monthly', start_date: str = '1900-01-01', end_date: str = '2022-11-04', raw: bool = False, external_axes: Optional[List[axes]] = None, export: str = '', chart=True)
|
||||
=======
|
||||
|
|
||||
>>>>>>> main:website/content/SDK/economy/treasury/_index.rst
|
||||
|
||||
.. raw:: html
|
||||
|
||||
@@ -75,7 +65,7 @@ economy.treasury(
|
||||
maturities: list = None,
|
||||
frequency: str = 'monthly',
|
||||
start_date: str = '1900-01-01',
|
||||
end_date: str = '2022-11-08',
|
||||
end_date: str = '2022-11-09',
|
||||
raw: bool = False,
|
||||
external_axes: Optional[List[axes]] = None,
|
||||
export: str = '',
|
||||
|
||||
23
website/content/SDK/etf/candle/_index.rst
vendored
23
website/content/SDK/etf/candle/_index.rst
vendored
@@ -1,11 +1,6 @@
|
||||
<<<<<<< HEAD:website/content/SDK/etf/candle/_index.md
|
||||
## Get underlying data
|
||||
### etf.candle(symbol: str, data: pandas.core.frame.DataFrame = None, use_matplotlib: bool = True, intraday: bool = False, add_trend: bool = False, ma: Optional[Iterable[int]] = None, asset_type: str = '', start_date: datetime.datetime = datetime.datetime(2019, 10, 31, 16, 3, 2, 269455), interval: int = 1440, end_date: datetime.datetime = datetime.datetime(2022, 11, 4, 16, 3, 2, 269462), prepost: bool = False, source: str = 'YahooFinance', iexrange: str = 'ytd', weekly: bool = False, monthly: bool = False, external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None, raw: bool = False, yscale: str = 'linear')
|
||||
=======
|
||||
.. role:: python(code)
|
||||
:language: python
|
||||
:class: highlight
|
||||
>>>>>>> main:website/content/SDK/etf/candle/_index.rst
|
||||
|
||||
|
|
||||
|
||||
@@ -24,11 +19,13 @@ etf.candle(
|
||||
add_trend: bool = False,
|
||||
ma: Optional[Iterable[int]] = None,
|
||||
asset_type: str = '',
|
||||
start_date: datetime.datetime = datetime.datetime(
|
||||
2019, 11, 4, 12, 2, 54, 348838, chart: bool = False,
|
||||
start_date: Union[datetime.datetime, str,
|
||||
NoneType] = datetime.datetime(
|
||||
2019, 11, 5, 17, 41, 30, 338404, chart: bool = False,
|
||||
), interval: int = 1440,
|
||||
end_date: datetime.datetime = datetime.datetime(
|
||||
2022, 11, 8, 12, 2, 54, 348849, chart: bool = False,
|
||||
end_date: Union[datetime.datetime, str,
|
||||
NoneType] = datetime.datetime(
|
||||
2022, 11, 9, 17, 41, 30, 338406, chart: bool = False,
|
||||
), prepost: bool = False,
|
||||
source: str = 'YahooFinance',
|
||||
iexrange: str = 'ytd',
|
||||
@@ -69,12 +66,12 @@ etf.candle(
|
||||
External axes (2 axes are expected in the list), by default None
|
||||
asset_type\_: str
|
||||
String to include in title
|
||||
start_date: datetime
|
||||
Start date to get data from with
|
||||
start_date: str or datetime, optional
|
||||
Start date to get data from with. - datetime or string format (YYYY-MM-DD)
|
||||
interval: int
|
||||
Interval (in minutes) to get data 1, 5, 15, 30, 60 or 1440
|
||||
end_date: datetime
|
||||
End date to get data from with
|
||||
end_date: str or datetime, optional
|
||||
End date to get data from with. - datetime or string format (YYYY-MM-DD)
|
||||
prepost: bool
|
||||
Pre and After hours data
|
||||
source: str
|
||||
|
||||
20
website/content/SDK/etf/load/_index.rst
vendored
20
website/content/SDK/etf/load/_index.rst
vendored
@@ -13,10 +13,14 @@
|
||||
{{< highlight python >}}
|
||||
etf.load(
|
||||
symbol: str,
|
||||
start_date: datetime.datetime = None,
|
||||
interval: int = 1440,
|
||||
end_date: datetime.datetime = None,
|
||||
prepost: bool = False,
|
||||
start_date: Union[datetime.datetime, str,
|
||||
NoneType] = datetime.datetime(
|
||||
2019, 11, 5, 17, 41, 30, 338385, chart: bool = False,
|
||||
), interval: int = 1440,
|
||||
end_date: Union[datetime.datetime, str,
|
||||
NoneType] = datetime.datetime(
|
||||
2022, 11, 9, 17, 41, 30, 338397, chart: bool = False,
|
||||
), prepost: bool = False,
|
||||
source: str = 'YahooFinance',
|
||||
iexrange: str = 'ytd',
|
||||
weekly: bool = False,
|
||||
@@ -64,12 +68,12 @@ etf.load(
|
||||
|
||||
symbol: str
|
||||
Ticker to get data
|
||||
start_date: datetime
|
||||
Start date to get data from with
|
||||
start_date: str or datetime, optional
|
||||
Start date to get data from with. - datetime or string format (YYYY-MM-DD)
|
||||
interval: int
|
||||
Interval (in minutes) to get data 1, 5, 15, 30, 60 or 1440
|
||||
end_date: datetime
|
||||
End date to get data from with
|
||||
end_date: str or datetime, optional
|
||||
End date to get data from with. - datetime or string format (YYYY-MM-DD)
|
||||
prepost: bool
|
||||
Pre and After hours data
|
||||
source: str
|
||||
|
||||
4
website/content/SDK/etf/news/_index.rst
vendored
4
website/content/SDK/etf/news/_index.rst
vendored
@@ -16,7 +16,7 @@ To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
etf.news(
|
||||
query: str,
|
||||
limit: int = 10,
|
||||
start_date: str = '2022-11-01',
|
||||
start_date: str = '2022-11-02',
|
||||
show_newest: bool = True,
|
||||
sources: str = '',
|
||||
chart: bool = False,
|
||||
@@ -60,7 +60,7 @@ etf.news(
|
||||
etf.news(
|
||||
query: str,
|
||||
limit: int = 3,
|
||||
start_date: str = '2022-11-01',
|
||||
start_date: str = '2022-11-02',
|
||||
show_newest: bool = True,
|
||||
sources: str = '',
|
||||
export: str = '',
|
||||
|
||||
3
website/content/SDK/forex/candle/_index.rst
vendored
3
website/content/SDK/forex/candle/_index.rst
vendored
@@ -17,6 +17,9 @@ forex.candle(
|
||||
from_symbol: str = '',
|
||||
ma: Optional[Iterable[int]] = None,
|
||||
external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None,
|
||||
use_matplotlib: bool = True,
|
||||
add_trend: bool = False,
|
||||
yscale: str = 'linear',
|
||||
chart: bool = False,
|
||||
)
|
||||
{{< /highlight >}}
|
||||
|
||||
7
website/content/SDK/forex/load/_index.rst
vendored
7
website/content/SDK/forex/load/_index.rst
vendored
@@ -1,11 +1,6 @@
|
||||
<<<<<<< HEAD:website/content/SDK/forex/load/_index.md
|
||||
## Get underlying data
|
||||
### forex.load(to_symbol: str, from_symbol: str, resolution: str = 'd', interval: str = '1day', start_date: str = '2021-11-04', source: str = 'YahooFinance', verbose: bool = True) -> pandas.core.frame.DataFrame
|
||||
=======
|
||||
.. role:: python(code)
|
||||
:language: python
|
||||
:class: highlight
|
||||
>>>>>>> main:website/content/SDK/forex/load/_index.rst
|
||||
|
||||
|
|
||||
|
||||
@@ -21,7 +16,7 @@ forex.load(
|
||||
from_symbol: str,
|
||||
resolution: str = 'd',
|
||||
interval: str = '1day',
|
||||
start_date: str = '2021-11-08',
|
||||
start_date: str = '2021-11-09',
|
||||
source: str = 'YahooFinance',
|
||||
verbose: bool = True,
|
||||
chart: bool = False,
|
||||
|
||||
12
website/content/SDK/futures/curve/_index.rst
vendored
12
website/content/SDK/futures/curve/_index.rst
vendored
@@ -14,7 +14,7 @@ To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
|
||||
{{< highlight python >}}
|
||||
futures.curve(
|
||||
ticker: str = '',
|
||||
symbol: str = '',
|
||||
chart: bool = False,
|
||||
)
|
||||
{{< /highlight >}}
|
||||
@@ -27,8 +27,8 @@ futures.curve(
|
||||
|
||||
* **Parameters**
|
||||
|
||||
ticker: str
|
||||
Ticker to get forward curve
|
||||
symbol: str
|
||||
symbol to get forward curve
|
||||
chart: *bool*
|
||||
Flag to display chart
|
||||
|
||||
@@ -43,7 +43,7 @@ futures.curve(
|
||||
|
||||
{{< highlight python >}}
|
||||
futures.curve(
|
||||
ticker: str,
|
||||
symbol: str,
|
||||
raw: bool = False,
|
||||
export: str = '',
|
||||
external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None,
|
||||
@@ -59,8 +59,8 @@ futures.curve(
|
||||
|
||||
* **Parameters**
|
||||
|
||||
ticker: str
|
||||
Curve future ticker to display
|
||||
symbol: str
|
||||
Curve future symbol to display
|
||||
raw: bool
|
||||
Display futures timeseries in raw format
|
||||
export: str
|
||||
|
||||
@@ -14,7 +14,7 @@ To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
|
||||
{{< highlight python >}}
|
||||
futures.historical(
|
||||
tickers: List[str],
|
||||
symbols: List[str],
|
||||
expiry: str = '',
|
||||
chart: bool = False,
|
||||
) -> Dict
|
||||
@@ -28,8 +28,8 @@ futures.historical(
|
||||
|
||||
* **Parameters**
|
||||
|
||||
tickers: List[str]
|
||||
List of future timeseries tickers to display
|
||||
symbols: List[str]
|
||||
List of future timeseries symbols to display
|
||||
expiry: str
|
||||
Future expiry date with format YYYY-MM
|
||||
chart: *bool*
|
||||
@@ -51,9 +51,9 @@ futures.historical(
|
||||
|
||||
{{< highlight python >}}
|
||||
futures.historical(
|
||||
tickers: List[str],
|
||||
symbols: List[str],
|
||||
expiry: str = '',
|
||||
start_date: str = '2019-11-09',
|
||||
start_date: str = '2019-11-10',
|
||||
raw: bool = False,
|
||||
export: str = '',
|
||||
external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None,
|
||||
@@ -69,8 +69,8 @@ futures.historical(
|
||||
|
||||
* **Parameters**
|
||||
|
||||
tickers: List[str]
|
||||
List of future timeseries tickers to display
|
||||
symbols: List[str]
|
||||
List of future timeseries symbols to display
|
||||
expiry: str
|
||||
Future expiry date with format YYYY-MM
|
||||
start_date : str
|
||||
|
||||
@@ -44,7 +44,7 @@ portfolio.holdp(
|
||||
{{< highlight python >}}
|
||||
portfolio.holdp(
|
||||
portfolio: openbb_terminal.portfolio.portfolio_model.PortfolioModel,
|
||||
sum_assets: bool = False,
|
||||
unstack: bool = False,
|
||||
raw: bool = False,
|
||||
limit: int = 10,
|
||||
export: str = '',
|
||||
@@ -63,8 +63,8 @@ portfolio.holdp(
|
||||
|
||||
portfolio: Portfolio
|
||||
Portfolio object with trades loaded
|
||||
sum_assets: bool
|
||||
Sum assets over time
|
||||
unstack: bool
|
||||
Individual assets over time
|
||||
raw : bool
|
||||
To display raw data
|
||||
limit : int
|
||||
|
||||
@@ -49,7 +49,7 @@ portfolio.holdv(
|
||||
{{< highlight python >}}
|
||||
portfolio.holdv(
|
||||
portfolio: openbb_terminal.portfolio.portfolio_model.PortfolioModel,
|
||||
sum_assets: bool = False,
|
||||
unstack: bool = False,
|
||||
raw: bool = False,
|
||||
limit: int = 10,
|
||||
export: str = '',
|
||||
@@ -68,8 +68,8 @@ portfolio.holdv(
|
||||
|
||||
portfolio: Portfolio
|
||||
Portfolio object with trades loaded
|
||||
sum_assets: bool
|
||||
Sum assets over time
|
||||
unstack: bool
|
||||
Individual assets over time
|
||||
raw : bool
|
||||
To display raw data
|
||||
limit : int
|
||||
|
||||
@@ -13,7 +13,6 @@
|
||||
{{< highlight python >}}
|
||||
portfolio.perf(
|
||||
portfolio: openbb_terminal.portfolio.portfolio_model.PortfolioModel,
|
||||
interval: str = 'all',
|
||||
show_all_trades: bool = False,
|
||||
chart: bool = False,
|
||||
) -> pandas.core.frame.DataFrame
|
||||
@@ -29,8 +28,6 @@ portfolio.perf(
|
||||
|
||||
portfolio: Portfolio
|
||||
Portfolio object with trades loaded
|
||||
interval : str
|
||||
interval to consider performance. From: mtd, qtd, ytd, 3m, 6m, 1y, 3y, 5y, 10y, all
|
||||
show_all_trades: bool
|
||||
Whether to also show all trades made and their performance (default is False)
|
||||
|
||||
|
||||
@@ -13,8 +13,8 @@
|
||||
{{< highlight python >}}
|
||||
stocks.ba.cnews(
|
||||
symbol: str,
|
||||
start_date: str = '2022-10-09',
|
||||
end_date: str = '2022-11-08',
|
||||
start_date: str = '2022-10-10',
|
||||
end_date: str = '2022-11-09',
|
||||
chart: bool = False,
|
||||
) -> List[Dict]
|
||||
{{< /highlight >}}
|
||||
|
||||
@@ -15,8 +15,8 @@ To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
{{< highlight python >}}
|
||||
stocks.ba.hist(
|
||||
symbol: str,
|
||||
start_date: str = '2022-11-01',
|
||||
end_date: str = '2022-11-08',
|
||||
start_date: str = '2022-11-02',
|
||||
end_date: str = '2022-11-09',
|
||||
number: int = 100,
|
||||
chart: bool = False,
|
||||
) -> pandas.core.frame.DataFrame
|
||||
@@ -61,8 +61,8 @@ stocks.ba.hist(
|
||||
{{< highlight python >}}
|
||||
stocks.ba.hist(
|
||||
symbol: str,
|
||||
start_date: str = '2022-11-01',
|
||||
end_date: str = '2022-11-08',
|
||||
start_date: str = '2022-11-02',
|
||||
end_date: str = '2022-11-09',
|
||||
number: int = 100,
|
||||
raw: bool = False,
|
||||
limit: int = 10,
|
||||
|
||||
@@ -15,7 +15,7 @@ To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
{{< highlight python >}}
|
||||
stocks.ba.trend(
|
||||
start_date: datetime.datetime = datetime.datetime(
|
||||
2022, 11, 8, 12, 2, 54, 989242, chart: bool = False,
|
||||
2022, 11, 9, 17, 41, 29, 364353, chart: bool = False,
|
||||
), hour: int = 0,
|
||||
number: int = 10,
|
||||
chart: bool = False,
|
||||
@@ -60,7 +60,7 @@ stocks.ba.trend(
|
||||
{{< highlight python >}}
|
||||
stocks.ba.trend(
|
||||
start_date: datetime.datetime = datetime.datetime(
|
||||
2022, 11, 8, 12, 2, 54, 989446, chart: bool = False,
|
||||
2022, 11, 9, 17, 41, 29, 364749, chart: bool = False,
|
||||
), hour: int = 0,
|
||||
number: int = 10,
|
||||
limit: int = 10,
|
||||
|
||||
15
website/content/SDK/stocks/ca/hcorr/_index.rst
vendored
15
website/content/SDK/stocks/ca/hcorr/_index.rst
vendored
@@ -2,12 +2,7 @@
|
||||
:language: python
|
||||
:class: highlight
|
||||
|
||||
<<<<<<< HEAD:website/content/SDK/stocks/ca/hcorr/_index.md
|
||||
## Get underlying data
|
||||
### stocks.ca.hcorr(similar: List[str], start_date: str = '2021-11-03', candle_type: str = 'a')
|
||||
=======
|
||||
|
|
||||
>>>>>>> main:website/content/SDK/stocks/ca/hcorr/_index.rst
|
||||
|
||||
To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
|
||||
@@ -20,7 +15,7 @@ To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
{{< highlight python >}}
|
||||
stocks.ca.hcorr(
|
||||
similar: List[str],
|
||||
start_date: str = '2021-11-07',
|
||||
start_date: str = '2021-11-08',
|
||||
candle_type: str = 'a',
|
||||
chart: bool = False,
|
||||
)
|
||||
@@ -42,14 +37,8 @@ stocks.ca.hcorr(
|
||||
Start date of comparison, by default 1 year ago
|
||||
candle_type : str, optional
|
||||
OHLCA column to use for candles or R for returns, by default "a" for Adjusted Close
|
||||
<<<<<<< HEAD:website/content/SDK/stocks/ca/hcorr/_index.md
|
||||
|
||||
## Getting charts
|
||||
### stocks.ca.hcorr(similar: List[str], start_date: str = '2021-11-03', candle_type: str = 'a', display_full_matrix: bool = False, raw: bool = False, external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None, export: str = '', chart=True)
|
||||
=======
|
||||
chart: *bool*
|
||||
Flag to display chart
|
||||
>>>>>>> main:website/content/SDK/stocks/ca/hcorr/_index.rst
|
||||
|
||||
|
||||
|
|
||||
@@ -63,7 +52,7 @@ stocks.ca.hcorr(
|
||||
{{< highlight python >}}
|
||||
stocks.ca.hcorr(
|
||||
similar: List[str],
|
||||
start_date: str = '2021-11-07',
|
||||
start_date: str = '2021-11-08',
|
||||
candle_type: str = 'a',
|
||||
display_full_matrix: bool = False,
|
||||
raw: bool = False,
|
||||
|
||||
14
website/content/SDK/stocks/ca/hist/_index.rst
vendored
14
website/content/SDK/stocks/ca/hist/_index.rst
vendored
@@ -2,12 +2,7 @@
|
||||
:language: python
|
||||
:class: highlight
|
||||
|
||||
<<<<<<< HEAD:website/content/SDK/stocks/ca/hist/_index.md
|
||||
## Get underlying data
|
||||
### stocks.ca.hist(similar: List[str], start_date: str = '2021-11-03', candle_type: str = 'a') -> pandas.core.frame.DataFrame
|
||||
=======
|
||||
|
|
||||
>>>>>>> main:website/content/SDK/stocks/ca/hist/_index.rst
|
||||
|
||||
To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
|
||||
@@ -20,7 +15,7 @@ To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
{{< highlight python >}}
|
||||
stocks.ca.hist(
|
||||
similar: List[str],
|
||||
start_date: str = '2021-11-07',
|
||||
start_date: str = '2021-11-08',
|
||||
candle_type: str = 'a',
|
||||
chart: bool = False,
|
||||
) -> pandas.core.frame.DataFrame
|
||||
@@ -51,12 +46,7 @@ stocks.ca.hist(
|
||||
pd.DataFrame
|
||||
Dataframe containing candle type variable for each ticker
|
||||
|
||||
<<<<<<< HEAD:website/content/SDK/stocks/ca/hist/_index.md
|
||||
## Getting charts
|
||||
### stocks.ca.hist(similar: List[str], start_date: str = '2021-11-03', candle_type: str = 'a', normalize: bool = True, export: str = '', external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None, chart=True)
|
||||
=======
|
||||
|
|
||||
>>>>>>> main:website/content/SDK/stocks/ca/hist/_index.rst
|
||||
|
||||
.. raw:: html
|
||||
|
||||
@@ -67,7 +57,7 @@ stocks.ca.hist(
|
||||
{{< highlight python >}}
|
||||
stocks.ca.hist(
|
||||
similar: List[str],
|
||||
start_date: str = '2021-11-07',
|
||||
start_date: str = '2021-11-08',
|
||||
candle_type: str = 'a',
|
||||
normalize: bool = True,
|
||||
export: str = '',
|
||||
|
||||
@@ -15,7 +15,7 @@ To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
{{< highlight python >}}
|
||||
stocks.ca.volume(
|
||||
similar: List[str],
|
||||
start_date: str = '2021-11-07',
|
||||
start_date: str = '2021-11-08',
|
||||
chart: bool = False,
|
||||
) -> pandas.core.frame.DataFrame
|
||||
{{< /highlight >}}
|
||||
@@ -49,7 +49,7 @@ stocks.ca.volume(
|
||||
{{< highlight python >}}
|
||||
stocks.ca.volume(
|
||||
similar: List[str],
|
||||
start_date: str = '2021-11-07',
|
||||
start_date: str = '2021-11-08',
|
||||
export: str = '',
|
||||
external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None,
|
||||
chart: bool = False,
|
||||
|
||||
23
website/content/SDK/stocks/candle/_index.rst
vendored
23
website/content/SDK/stocks/candle/_index.rst
vendored
@@ -1,11 +1,6 @@
|
||||
<<<<<<< HEAD:website/content/SDK/stocks/candle/_index.md
|
||||
## Get underlying data
|
||||
### stocks.candle(symbol: str, data: pandas.core.frame.DataFrame = None, use_matplotlib: bool = True, intraday: bool = False, add_trend: bool = False, ma: Optional[Iterable[int]] = None, asset_type: str = '', start_date: datetime.datetime = datetime.datetime(2019, 10, 31, 16, 3, 2, 269455), interval: int = 1440, end_date: datetime.datetime = datetime.datetime(2022, 11, 4, 16, 3, 2, 269462), prepost: bool = False, source: str = 'YahooFinance', iexrange: str = 'ytd', weekly: bool = False, monthly: bool = False, external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None, raw: bool = False, yscale: str = 'linear')
|
||||
=======
|
||||
.. role:: python(code)
|
||||
:language: python
|
||||
:class: highlight
|
||||
>>>>>>> main:website/content/SDK/stocks/candle/_index.rst
|
||||
|
||||
|
|
||||
|
||||
@@ -24,11 +19,13 @@ stocks.candle(
|
||||
add_trend: bool = False,
|
||||
ma: Optional[Iterable[int]] = None,
|
||||
asset_type: str = '',
|
||||
start_date: datetime.datetime = datetime.datetime(
|
||||
2019, 11, 4, 12, 2, 54, 348838, chart: bool = False,
|
||||
start_date: Union[datetime.datetime, str,
|
||||
NoneType] = datetime.datetime(
|
||||
2019, 11, 5, 17, 41, 30, 338404, chart: bool = False,
|
||||
), interval: int = 1440,
|
||||
end_date: datetime.datetime = datetime.datetime(
|
||||
2022, 11, 8, 12, 2, 54, 348849, chart: bool = False,
|
||||
end_date: Union[datetime.datetime, str,
|
||||
NoneType] = datetime.datetime(
|
||||
2022, 11, 9, 17, 41, 30, 338406, chart: bool = False,
|
||||
), prepost: bool = False,
|
||||
source: str = 'YahooFinance',
|
||||
iexrange: str = 'ytd',
|
||||
@@ -69,12 +66,12 @@ stocks.candle(
|
||||
External axes (2 axes are expected in the list), by default None
|
||||
asset_type\_: str
|
||||
String to include in title
|
||||
start_date: datetime
|
||||
Start date to get data from with
|
||||
start_date: str or datetime, optional
|
||||
Start date to get data from with. - datetime or string format (YYYY-MM-DD)
|
||||
interval: int
|
||||
Interval (in minutes) to get data 1, 5, 15, 30, 60 or 1440
|
||||
end_date: datetime
|
||||
End date to get data from with
|
||||
end_date: str or datetime, optional
|
||||
End date to get data from with. - datetime or string format (YYYY-MM-DD)
|
||||
prepost: bool
|
||||
Pre and After hours data
|
||||
source: str
|
||||
|
||||
2
website/content/SDK/stocks/dd/pt/_index.rst
vendored
2
website/content/SDK/stocks/dd/pt/_index.rst
vendored
@@ -50,7 +50,7 @@ stocks.dd.pt(
|
||||
stocks.dd.pt(
|
||||
symbol: str,
|
||||
data: pandas.core.frame.DataFrame,
|
||||
start_date: str = '2022-11-08',
|
||||
start_date: str = '2022-11-09',
|
||||
limit: int = 10,
|
||||
raw: bool = False,
|
||||
export: str = '',
|
||||
|
||||
@@ -12,7 +12,7 @@
|
||||
|
||||
{{< highlight python >}}
|
||||
stocks.disc.dividends(
|
||||
date: str = '2022-11-08',
|
||||
date: str = '2022-11-09',
|
||||
chart: bool = False,
|
||||
) -> pandas.core.frame.DataFrame
|
||||
{{< /highlight >}}
|
||||
|
||||
@@ -12,8 +12,8 @@
|
||||
|
||||
{{< highlight python >}}
|
||||
stocks.disc.ipo(
|
||||
start_date: str = '2022-11-03',
|
||||
end_date: str = '2022-11-08',
|
||||
start_date: str = '2022-11-04',
|
||||
end_date: str = '2022-11-09',
|
||||
chart: bool = False,
|
||||
) -> pandas.core.frame.DataFrame
|
||||
{{< /highlight >}}
|
||||
|
||||
@@ -15,8 +15,8 @@ To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
{{< highlight python >}}
|
||||
stocks.dps.ftd(
|
||||
symbol: str,
|
||||
start_date: str = '2022-09-09',
|
||||
end_date: str = '2022-11-08',
|
||||
start_date: str = '2022-09-10',
|
||||
end_date: str = '2022-11-09',
|
||||
limit: int = 0,
|
||||
chart: bool = False,
|
||||
) -> pandas.core.frame.DataFrame
|
||||
@@ -59,8 +59,8 @@ stocks.dps.ftd(
|
||||
stocks.dps.ftd(
|
||||
symbol: str,
|
||||
data: pandas.core.frame.DataFrame,
|
||||
start_date: str = '2022-09-09',
|
||||
end_date: str = '2022-11-08',
|
||||
start_date: str = '2022-09-10',
|
||||
end_date: str = '2022-11-09',
|
||||
limit: int = 0,
|
||||
raw: bool = False,
|
||||
export: str = '',
|
||||
|
||||
@@ -15,7 +15,7 @@ To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
{{< highlight python >}}
|
||||
stocks.fa.mktcap(
|
||||
symbol: str,
|
||||
start_date: str = '2019-11-06',
|
||||
start_date: str = '2019-11-07',
|
||||
chart: bool = False,
|
||||
) -> Tuple[pandas.core.frame.DataFrame, str]
|
||||
{{< /highlight >}}
|
||||
@@ -54,7 +54,7 @@ stocks.fa.mktcap(
|
||||
{{< highlight python >}}
|
||||
stocks.fa.mktcap(
|
||||
symbol: str,
|
||||
start_date: str = '2019-11-06',
|
||||
start_date: str = '2019-11-07',
|
||||
export: str = '',
|
||||
external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None,
|
||||
chart: bool = False,
|
||||
|
||||
@@ -50,7 +50,7 @@ stocks.ins.act(
|
||||
stocks.ins.act(
|
||||
data: pandas.core.frame.DataFrame,
|
||||
symbol: str,
|
||||
start_date: str = '2019-11-04',
|
||||
start_date: str = '2019-11-05',
|
||||
interval: str = '1440min',
|
||||
limit: int = 10,
|
||||
raw: bool = False,
|
||||
|
||||
20
website/content/SDK/stocks/load/_index.rst
vendored
20
website/content/SDK/stocks/load/_index.rst
vendored
@@ -13,10 +13,14 @@
|
||||
{{< highlight python >}}
|
||||
stocks.load(
|
||||
symbol: str,
|
||||
start_date: datetime.datetime = None,
|
||||
interval: int = 1440,
|
||||
end_date: datetime.datetime = None,
|
||||
prepost: bool = False,
|
||||
start_date: Union[datetime.datetime, str,
|
||||
NoneType] = datetime.datetime(
|
||||
2019, 11, 5, 17, 41, 30, 338385, chart: bool = False,
|
||||
), interval: int = 1440,
|
||||
end_date: Union[datetime.datetime, str,
|
||||
NoneType] = datetime.datetime(
|
||||
2022, 11, 9, 17, 41, 30, 338397, chart: bool = False,
|
||||
), prepost: bool = False,
|
||||
source: str = 'YahooFinance',
|
||||
iexrange: str = 'ytd',
|
||||
weekly: bool = False,
|
||||
@@ -64,12 +68,12 @@ stocks.load(
|
||||
|
||||
symbol: str
|
||||
Ticker to get data
|
||||
start_date: datetime
|
||||
Start date to get data from with
|
||||
start_date: str or datetime, optional
|
||||
Start date to get data from with. - datetime or string format (YYYY-MM-DD)
|
||||
interval: int
|
||||
Interval (in minutes) to get data 1, 5, 15, 30, 60 or 1440
|
||||
end_date: datetime
|
||||
End date to get data from with
|
||||
end_date: str or datetime, optional
|
||||
End date to get data from with. - datetime or string format (YYYY-MM-DD)
|
||||
prepost: bool
|
||||
Pre and After hours data
|
||||
source: str
|
||||
|
||||
@@ -16,7 +16,7 @@ To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
stocks.options.pcr(
|
||||
symbol: str,
|
||||
window: int = 30,
|
||||
start_date: str = '2021-11-07',
|
||||
start_date: str = '2021-11-08',
|
||||
chart: bool = False,
|
||||
) -> pandas.core.frame.DataFrame
|
||||
{{< /highlight >}}
|
||||
@@ -51,7 +51,7 @@ stocks.options.pcr(
|
||||
stocks.options.pcr(
|
||||
symbol: str,
|
||||
window: int = 30,
|
||||
start_date: str = '2021-11-07',
|
||||
start_date: str = '2021-11-08',
|
||||
export: str = '',
|
||||
external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None,
|
||||
chart: bool = False,
|
||||
|
||||
@@ -16,11 +16,11 @@ To obtain charts, make sure to add :python:`chart = True` as the last parameter.
|
||||
stocks.screener.historical(
|
||||
preset_loaded: str = 'top_gainers',
|
||||
limit: int = 10,
|
||||
start_date: str = '2022-05-12',
|
||||
start_date: str = '2022-05-13',
|
||||
type_candle: str = 'a',
|
||||
normalize: bool = True,
|
||||
chart: bool = False,
|
||||
)
|
||||
) -> Tuple[pandas.core.frame.DataFrame, List[str], bool]
|
||||
{{< /highlight >}}
|
||||
|
||||
.. raw:: html
|
||||
@@ -66,7 +66,7 @@ stocks.screener.historical(
|
||||
stocks.screener.historical(
|
||||
preset_loaded: str = 'top_gainers',
|
||||
limit: int = 10,
|
||||
start_date: str = '2022-05-12',
|
||||
start_date: str = '2022-05-13',
|
||||
type_candle: str = 'a',
|
||||
normalize: bool = True,
|
||||
export: str = '',
|
||||
|
||||
Reference in New Issue
Block a user