Files
OpenBB/openbb_platform/openbb/package/stocks.py
2023-10-12 13:36:14 +01:00

629 lines
30 KiB
Python

### THIS FILE IS AUTO-GENERATED. DO NOT EDIT. ###
import datetime
from typing import List, Literal, Optional, Union
from annotated_types import Ge
from openbb_core.app.model.custom_parameter import OpenBBCustomParameter
from openbb_core.app.model.obbject import OBBject
from openbb_core.app.static.container import Container
from openbb_core.app.static.decorators import validate as _validate
from openbb_core.app.static.filters import filter_inputs
from openbb_provider.abstract.data import Data
from typing_extensions import Annotated
class ROUTER_stocks(Container):
"""/stocks
/ca
/fa
load
multiples
news
/options
quote
"""
def __repr__(self) -> str:
return self.__doc__ or ""
@property
def ca(self): # route = "/stocks/ca"
from . import stocks_ca
return stocks_ca.ROUTER_stocks_ca(command_runner=self._command_runner)
@property
def fa(self): # route = "/stocks/fa"
from . import stocks_fa
return stocks_fa.ROUTER_stocks_fa(command_runner=self._command_runner)
@_validate
def load(
self,
symbol: Annotated[
Union[str, List[str]],
OpenBBCustomParameter(description="Symbol to get data for."),
],
start_date: Annotated[
Union[datetime.date, None, str],
OpenBBCustomParameter(
description="Start date of the data, in YYYY-MM-DD format."
),
] = None,
end_date: Annotated[
Union[datetime.date, None, str],
OpenBBCustomParameter(
description="End date of the data, in YYYY-MM-DD format."
),
] = None,
provider: Optional[Literal["fmp", "intrinio", "polygon"]] = None,
**kwargs
) -> OBBject[List[Data]]:
"""Load stock data for a specific ticker.
Parameters
----------
symbol : str
Symbol to get data for.
start_date : Optional[datetime.date]
Start date of the data, in YYYY-MM-DD format.
end_date : Optional[datetime.date]
End date of the data, in YYYY-MM-DD format.
provider : Optional[Literal['fmp', 'intrinio', 'polygon']]
The provider to use for the query, by default None.
If None, the provider specified in defaults is selected or 'fmp' if there is
no default.
timeseries : Optional[Annotated[int, Ge(ge=0)]]
Number of days to look back. (provider: fmp)
interval : Literal['1min', '5min', '15min', '30min', '1hour', '4hour', '1day']
Data granularity. (provider: fmp)
timezone : Optional[Literal['Africa/Algiers', 'Africa/Cairo', 'Africa/Casablanca', 'Africa/Harare', 'Africa/Johannesburg', 'Africa/Monrovia', 'Africa/Nairobi', 'America/Argentina/Buenos_Aires', 'America/Bogota', 'America/Caracas', 'America/Chicago', 'America/Chihuahua', 'America/Denver', 'America/Godthab', 'America/Guatemala', 'America/Guyana', 'America/Halifax', 'America/Indiana/Indianapolis', 'America/Juneau', 'America/La_Paz', 'America/Lima', 'America/Los_Angeles', 'America/Mazatlan', 'America/Mexico_City', 'America/Monterrey', 'America/Montevideo', 'America/New_York', 'America/Phoenix', 'America/Regina', 'America/Santiago', 'America/Sao_Paulo', 'America/St_Johns', 'America/Tijuana', 'Asia/Almaty', 'Asia/Baghdad', 'Asia/Baku', 'Asia/Bangkok', 'Asia/Chongqing', 'Asia/Colombo', 'Asia/Dhaka', 'Asia/Hong_Kong', 'Asia/Irkutsk', 'Asia/Jakarta', 'Asia/Jerusalem', 'Asia/Kabul', 'Asia/Kamchatka', 'Asia/Karachi', 'Asia/Kathmandu', 'Asia/Kolkata', 'Asia/Krasnoyarsk', 'Asia/Kuala_Lumpur', 'Asia/Kuwait', 'Asia/Magadan', 'Asia/Muscat', 'Asia/Novosibirsk', 'Asia/Rangoon', 'Asia/Riyadh', 'Asia/Seoul', 'Asia/Shanghai', 'Asia/Singapore', 'Asia/Srednekolymsk', 'Asia/Taipei', 'Asia/Tashkent', 'Asia/Tbilisi', 'Asia/Tehran', 'Asia/Tokyo', 'Asia/Ulaanbaatar', 'Asia/Urumqi', 'Asia/Vladivostok', 'Asia/Yakutsk', 'Asia/Yekaterinburg', 'Asia/Yerevan', 'Atlantic/Azores', 'Atlantic/Cape_Verde', 'Atlantic/South_Georgia', 'Australia/Adelaide', 'Australia/Brisbane', 'Australia/Darwin', 'Australia/Hobart', 'Australia/Melbourne', 'Australia/Perth', 'Australia/Sydney', 'Etc/UTC', 'UTC', 'Europe/Amsterdam', 'Europe/Athens', 'Europe/Belgrade', 'Europe/Berlin', 'Europe/Bratislava', 'Europe/Brussels', 'Europe/Bucharest', 'Europe/Budapest', 'Europe/Copenhagen', 'Europe/Dublin', 'Europe/Helsinki', 'Europe/Istanbul', 'Europe/Kaliningrad', 'Europe/Kiev', 'Europe/Lisbon', 'Europe/Ljubljana', 'Europe/London', 'Europe/Madrid', 'Europe/Minsk', 'Europe/Moscow', 'Europe/Paris', 'Europe/Prague', 'Europe/Riga', 'Europe/Rome', 'Europe/Samara', 'Europe/Sarajevo', 'Europe/Skopje', 'Europe/Sofia', 'Europe/Stockholm', 'Europe/Tallinn', 'Europe/Vienna', 'Europe/Vilnius', 'Europe/Volgograd', 'Europe/Warsaw', 'Europe/Zagreb', 'Pacific/Apia', 'Pacific/Auckland', 'Pacific/Chatham', 'Pacific/Fakaofo', 'Pacific/Fiji', 'Pacific/Guadalcanal', 'Pacific/Guam', 'Pacific/Honolulu', 'Pacific/Majuro', 'Pacific/Midway', 'Pacific/Noumea', 'Pacific/Pago_Pago', 'Pacific/Port_Moresby', 'Pacific/Tongatapu']]
Returns trading times in this timezone. (provider: intrinio)
source : Optional[Literal['realtime', 'delayed', 'nasdaq_basic']]
The source of the data. (provider: intrinio)
start_time : Optional[datetime.time]
Return intervals starting at the specified time on the `start_date` formatted as 'hh:mm:ss'. (provider: intrinio)
end_time : Optional[datetime.time]
Return intervals stopping at the specified time on the `end_date` formatted as 'hh:mm:ss'. (provider: intrinio)
interval_size : Optional[Literal['1m', '5m', '10m', '15m', '30m', '60m', '1h']]
The data time frequency. (provider: intrinio)
multiplier : int
Multiplier of the timespan. (provider: polygon)
timespan : Literal['minute', 'hour', 'day', 'week', 'month', 'quarter', 'year']
Timespan of the data. (provider: polygon)
sort : Literal['asc', 'desc']
Sort order of the data. (provider: polygon)
limit : int
The number of data entries to return. (provider: polygon)
adjusted : bool
Output time series is adjusted by historical split and dividend events. (provider: polygon)
Returns
-------
OBBject
results : List[StockHistorical]
Serializable results.
provider : Optional[Literal['fmp', 'intrinio', 'polygon']]
Provider name.
warnings : Optional[List[Warning_]]
List of warnings.
chart : Optional[Chart]
Chart object.
extra: Dict[str, Any]
Extra info.
StockHistorical
---------------
date : datetime
The date of the data.
open : float
The open price of the symbol.
high : float
The high price of the symbol.
low : float
The low price of the symbol.
close : float
The close price of the symbol.
volume : Union[float, int]
The volume of the symbol.
vwap : Optional[Annotated[float, Gt(gt=0)]]
Volume Weighted Average Price of the symbol.
adj_close : Optional[float]
Adjusted Close Price of the symbol. (provider: fmp)
unadjusted_volume : Optional[float]
Unadjusted volume of the symbol. (provider: fmp)
change : Optional[float]
Change in the price of the symbol from the previous day. (provider: fmp, intrinio)
change_percent : Optional[float]
Change % in the price of the symbol. (provider: fmp)
label : Optional[str]
Human readable format of the date. (provider: fmp)
change_over_time : Optional[float]
Change % in the price of the symbol over a period of time. (provider: fmp)
close_time : Optional[datetime]
The timestamp that represents the end of the interval span. (provider: intrinio)
interval : Optional[str]
The data time frequency. (provider: intrinio)
average : Optional[float]
Average trade price of an individual stock during the interval. (provider: intrinio)
transactions : Optional[Annotated[int, Gt(gt=0)]]
Number of transactions for the symbol in the time period. (provider: polygon)
""" # noqa: E501
inputs = filter_inputs(
provider_choices={
"provider": provider,
},
standard_params={
"symbol": ",".join(symbol) if isinstance(symbol, list) else symbol,
"start_date": start_date,
"end_date": end_date,
},
extra_params=kwargs,
)
return self._run(
"/stocks/load",
**inputs,
)
@_validate
def multiples(
self,
symbol: Annotated[
Union[str, List[str]],
OpenBBCustomParameter(description="Symbol to get data for."),
],
limit: Annotated[
Optional[int],
OpenBBCustomParameter(description="The number of data entries to return."),
] = 100,
provider: Optional[Literal["fmp"]] = None,
**kwargs
) -> OBBject[List[Data]]:
"""Get valuation multiples for a stock ticker.
Parameters
----------
symbol : str
Symbol to get data for.
limit : Optional[int]
The number of data entries to return.
provider : Optional[Literal['fmp']]
The provider to use for the query, by default None.
If None, the provider specified in defaults is selected or 'fmp' if there is
no default.
Returns
-------
OBBject
results : List[StockMultiples]
Serializable results.
provider : Optional[Literal['fmp']]
Provider name.
warnings : Optional[List[Warning_]]
List of warnings.
chart : Optional[Chart]
Chart object.
extra: Dict[str, Any]
Extra info.
StockMultiples
--------------
revenue_per_share_ttm : Optional[float]
Revenue per share calculated as trailing twelve months.
net_income_per_share_ttm : Optional[float]
Net income per share calculated as trailing twelve months.
operating_cash_flow_per_share_ttm : Optional[float]
Operating cash flow per share calculated as trailing twelve months.
free_cash_flow_per_share_ttm : Optional[float]
Free cash flow per share calculated as trailing twelve months.
cash_per_share_ttm : Optional[float]
Cash per share calculated as trailing twelve months.
book_value_per_share_ttm : Optional[float]
Book value per share calculated as trailing twelve months.
tangible_book_value_per_share_ttm : Optional[float]
Tangible book value per share calculated as trailing twelve months.
shareholders_equity_per_share_ttm : Optional[float]
Shareholders equity per share calculated as trailing twelve months.
interest_debt_per_share_ttm : Optional[float]
Interest debt per share calculated as trailing twelve months.
market_cap_ttm : Optional[float]
Market capitalization calculated as trailing twelve months.
enterprise_value_ttm : Optional[float]
Enterprise value calculated as trailing twelve months.
pe_ratio_ttm : Optional[float]
Price-to-earnings ratio (P/E ratio) calculated as trailing twelve months.
price_to_sales_ratio_ttm : Optional[float]
Price-to-sales ratio calculated as trailing twelve months.
pocf_ratio_ttm : Optional[float]
Price-to-operating cash flow ratio calculated as trailing twelve months.
pfcf_ratio_ttm : Optional[float]
Price-to-free cash flow ratio calculated as trailing twelve months.
pb_ratio_ttm : Optional[float]
Price-to-book ratio calculated as trailing twelve months.
ptb_ratio_ttm : Optional[float]
Price-to-tangible book ratio calculated as trailing twelve months.
ev_to_sales_ttm : Optional[float]
Enterprise value-to-sales ratio calculated as trailing twelve months.
enterprise_value_over_ebitda_ttm : Optional[float]
Enterprise value-to-EBITDA ratio calculated as trailing twelve months.
ev_to_operating_cash_flow_ttm : Optional[float]
Enterprise value-to-operating cash flow ratio calculated as trailing twelve months.
ev_to_free_cash_flow_ttm : Optional[float]
Enterprise value-to-free cash flow ratio calculated as trailing twelve months.
earnings_yield_ttm : Optional[float]
Earnings yield calculated as trailing twelve months.
free_cash_flow_yield_ttm : Optional[float]
Free cash flow yield calculated as trailing twelve months.
debt_to_equity_ttm : Optional[float]
Debt-to-equity ratio calculated as trailing twelve months.
debt_to_assets_ttm : Optional[float]
Debt-to-assets ratio calculated as trailing twelve months.
net_debt_to_ebitda_ttm : Optional[float]
Net debt-to-EBITDA ratio calculated as trailing twelve months.
current_ratio_ttm : Optional[float]
Current ratio calculated as trailing twelve months.
interest_coverage_ttm : Optional[float]
Interest coverage calculated as trailing twelve months.
income_quality_ttm : Optional[float]
Income quality calculated as trailing twelve months.
dividend_yield_ttm : Optional[float]
Dividend yield calculated as trailing twelve months.
dividend_yield_percentage_ttm : Optional[float]
Dividend yield percentage calculated as trailing twelve months.
dividend_to_market_cap_ttm : Optional[float]
Dividend to market capitalization ratio calculated as trailing twelve months.
dividend_per_share_ttm : Optional[float]
Dividend per share calculated as trailing twelve months.
payout_ratio_ttm : Optional[float]
Payout ratio calculated as trailing twelve months.
sales_general_and_administrative_to_revenue_ttm : Optional[float]
Sales general and administrative expenses-to-revenue ratio calculated as trailing twelve months.
research_and_development_to_revenue_ttm : Optional[float]
Research and development expenses-to-revenue ratio calculated as trailing twelve months.
intangibles_to_total_assets_ttm : Optional[float]
Intangibles-to-total assets ratio calculated as trailing twelve months.
capex_to_operating_cash_flow_ttm : Optional[float]
Capital expenditures-to-operating cash flow ratio calculated as trailing twelve months.
capex_to_revenue_ttm : Optional[float]
Capital expenditures-to-revenue ratio calculated as trailing twelve months.
capex_to_depreciation_ttm : Optional[float]
Capital expenditures-to-depreciation ratio calculated as trailing twelve months.
stock_based_compensation_to_revenue_ttm : Optional[float]
Stock-based compensation-to-revenue ratio calculated as trailing twelve months.
graham_number_ttm : Optional[float]
Graham number calculated as trailing twelve months.
roic_ttm : Optional[float]
Return on invested capital calculated as trailing twelve months.
return_on_tangible_assets_ttm : Optional[float]
Return on tangible assets calculated as trailing twelve months.
graham_net_net_ttm : Optional[float]
Graham net-net working capital calculated as trailing twelve months.
working_capital_ttm : Optional[float]
Working capital calculated as trailing twelve months.
tangible_asset_value_ttm : Optional[float]
Tangible asset value calculated as trailing twelve months.
net_current_asset_value_ttm : Optional[float]
Net current asset value calculated as trailing twelve months.
invested_capital_ttm : Optional[float]
Invested capital calculated as trailing twelve months.
average_receivables_ttm : Optional[float]
Average receivables calculated as trailing twelve months.
average_payables_ttm : Optional[float]
Average payables calculated as trailing twelve months.
average_inventory_ttm : Optional[float]
Average inventory calculated as trailing twelve months.
days_sales_outstanding_ttm : Optional[float]
Days sales outstanding calculated as trailing twelve months.
days_payables_outstanding_ttm : Optional[float]
Days payables outstanding calculated as trailing twelve months.
days_of_inventory_on_hand_ttm : Optional[float]
Days of inventory on hand calculated as trailing twelve months.
receivables_turnover_ttm : Optional[float]
Receivables turnover calculated as trailing twelve months.
payables_turnover_ttm : Optional[float]
Payables turnover calculated as trailing twelve months.
inventory_turnover_ttm : Optional[float]
Inventory turnover calculated as trailing twelve months.
roe_ttm : Optional[float]
Return on equity calculated as trailing twelve months.
capex_per_share_ttm : Optional[float]
Capital expenditures per share calculated as trailing twelve months.""" # noqa: E501
inputs = filter_inputs(
provider_choices={
"provider": provider,
},
standard_params={
"symbol": ",".join(symbol) if isinstance(symbol, list) else symbol,
"limit": limit,
},
extra_params=kwargs,
)
return self._run(
"/stocks/multiples",
**inputs,
)
@_validate
def news(
self,
symbols: Annotated[
str, OpenBBCustomParameter(description="Comma separated list of symbols.")
],
limit: Annotated[
Optional[Annotated[int, Ge(ge=0)]],
OpenBBCustomParameter(description="Number of results to return per page."),
] = 20,
provider: Optional[Literal["benzinga", "fmp", "intrinio", "polygon"]] = None,
**kwargs
) -> OBBject[List[Data]]:
"""Get news for one or more stock tickers.
Parameters
----------
symbols : str
Comma separated list of symbols.
limit : Optional[Annotated[int, Ge(ge=0)]]
Number of results to return per page.
provider : Optional[Literal['benzinga', 'fmp', 'intrinio', 'polygon']]
The provider to use for the query, by default None.
If None, the provider specified in defaults is selected or 'benzinga' if there is
no default.
display : Literal['headline', 'abstract', 'full']
Specify headline only (headline), headline + teaser (abstract), or headline + full body (full). (provider: benzinga)
date : Optional[str]
Date of the news to retrieve. (provider: benzinga)
start_date : Optional[str]
Start date of the news to retrieve. (provider: benzinga)
end_date : Optional[str]
End date of the news to retrieve. (provider: benzinga)
updated_since : Optional[int]
Number of seconds since the news was updated. (provider: benzinga)
published_since : Optional[int]
Number of seconds since the news was published. (provider: benzinga)
sort : Optional[Literal['id', 'created', 'updated']]
Key to sort the news by. (provider: benzinga)
order : Optional[Literal['asc', 'desc']]
Order to sort the news by. (provider: benzinga); Sort order of the articles. (provider: polygon)
isin : Optional[str]
The ISIN of the news to retrieve. (provider: benzinga)
cusip : Optional[str]
The CUSIP of the news to retrieve. (provider: benzinga)
channels : Optional[str]
Channels of the news to retrieve. (provider: benzinga)
topics : Optional[str]
Topics of the news to retrieve. (provider: benzinga)
authors : Optional[str]
Authors of the news to retrieve. (provider: benzinga)
content_types : Optional[str]
Content types of the news to retrieve. (provider: benzinga)
published_utc : Optional[str]
Date query to fetch articles. Supports operators <, <=, >, >= (provider: polygon)
Returns
-------
OBBject
results : List[StockNews]
Serializable results.
provider : Optional[Literal['benzinga', 'fmp', 'intrinio', 'polygon']]
Provider name.
warnings : Optional[List[Warning_]]
List of warnings.
chart : Optional[Chart]
Chart object.
extra: Dict[str, Any]
Extra info.
StockNews
---------
date : datetime
Published date of the news.
title : str
Title of the news.
image : Optional[str]
Image URL of the news.
text : Optional[str]
Text/body of the news.
url : str
URL of the news.
id : Optional[str]
ID of the news. (provider: benzinga); Intrinio ID for the article. (provider: intrinio); Article ID. (provider: polygon)
author : Optional[str]
Author of the news. (provider: benzinga); Author of the article. (provider: polygon)
teaser : Optional[str]
Teaser of the news. (provider: benzinga)
images : Optional[List[Dict[str, str]]]
Images associated with the news. (provider: benzinga)
channels : Optional[str]
Channels associated with the news. (provider: benzinga)
stocks : Optional[str]
Stocks associated with the news. (provider: benzinga)
tags : Optional[str]
Tags associated with the news. (provider: benzinga)
updated : Optional[datetime]
None
symbol : Optional[str]
Ticker of the fetched news. (provider: fmp)
site : Optional[str]
Name of the news source. (provider: fmp)
amp_url : Optional[str]
AMP URL. (provider: polygon)
image_url : Optional[str]
Image URL. (provider: polygon)
keywords : Optional[List[str]]
Keywords in the article (provider: polygon)
publisher : Optional[openbb_polygon.models.stock_news.PolygonPublisher]
Publisher of the article. (provider: polygon)
tickers : Optional[List[str]]
Tickers covered in the article. (provider: polygon)""" # noqa: E501
inputs = filter_inputs(
provider_choices={
"provider": provider,
},
standard_params={
"symbols": symbols,
"limit": limit,
},
extra_params=kwargs,
)
return self._run(
"/stocks/news",
**inputs,
)
@property
def options(self): # route = "/stocks/options"
from . import stocks_options
return stocks_options.ROUTER_stocks_options(command_runner=self._command_runner)
@_validate
def quote(
self,
symbol: Annotated[
Union[str, List[str]],
OpenBBCustomParameter(description="Comma separated list of symbols."),
] = None,
provider: Optional[Literal["fmp", "intrinio"]] = None,
**kwargs
) -> OBBject[Union[List[Data], Data]]:
"""Load stock data for a specific ticker.
Parameters
----------
symbol : str
Comma separated list of symbols.
provider : Optional[Literal['fmp', 'intrinio']]
The provider to use for the query, by default None.
If None, the provider specified in defaults is selected or 'fmp' if there is
no default.
source : Literal['iex', 'bats', 'bats_delayed', 'utp_delayed', 'cta_a_delayed', 'cta_b_delayed', 'intrinio_mx', 'intrinio_mx_plus', 'delayed_sip']
Source of the data. (provider: intrinio)
Returns
-------
OBBject
results : Union[List[StockQuote], StockQuote]
Serializable results.
provider : Optional[Literal['fmp', 'intrinio']]
Provider name.
warnings : Optional[List[Warning_]]
List of warnings.
chart : Optional[Chart]
Chart object.
extra: Dict[str, Any]
Extra info.
StockQuote
----------
day_low : Optional[float]
Lowest price of the stock in the current trading day.
day_high : Optional[float]
Highest price of the stock in the current trading day.
date : Optional[datetime]
Timestamp of the stock quote.
symbol : Optional[str]
Symbol of the company. (provider: fmp)
name : Optional[str]
Name of the company. (provider: fmp)
price : Optional[float]
Current trading price of the stock. (provider: fmp)
changes_percentage : Optional[float]
Change percentage of the stock price. (provider: fmp)
change : Optional[float]
Change in the stock price. (provider: fmp)
year_high : Optional[float]
Highest price of the stock in the last 52 weeks. (provider: fmp)
year_low : Optional[float]
Lowest price of the stock in the last 52 weeks. (provider: fmp)
market_cap : Optional[float]
Market cap of the company. (provider: fmp)
price_avg50 : Optional[float]
50 days average price of the stock. (provider: fmp)
price_avg200 : Optional[int]
200 days average price of the stock. (provider: fmp)
volume : Optional[int]
Volume of the stock in the current trading day. (provider: fmp)
avg_volume : Optional[int]
Average volume of the stock in the last 10 trading days. (provider: fmp)
exchange : Optional[str]
Exchange the stock is traded on. (provider: fmp)
open : Optional[float]
Opening price of the stock in the current trading day. (provider: fmp)
previous_close : Optional[float]
Previous closing price of the stock. (provider: fmp)
eps : Optional[float]
Earnings per share of the stock. (provider: fmp)
pe : Optional[float]
Price earnings ratio of the stock. (provider: fmp)
earnings_announcement : Optional[str]
Earnings announcement date of the stock. (provider: fmp)
shares_outstanding : Optional[int]
Number of shares outstanding of the stock. (provider: fmp)
last_price : Optional[float]
Price of the last trade. (provider: intrinio)
last_time : Optional[datetime]
Date and Time when the last trade occurred. (provider: intrinio)
last_size : Optional[int]
Size of the last trade. (provider: intrinio)
bid_price : Optional[float]
Price of the top bid order. (provider: intrinio)
bid_size : Optional[int]
Size of the top bid order. (provider: intrinio)
ask_price : Optional[float]
Price of the top ask order. (provider: intrinio)
ask_size : Optional[int]
Size of the top ask order. (provider: intrinio)
open_price : Optional[float]
Open price for the trading day. (provider: intrinio)
close_price : Optional[float]
Closing price for the trading day (IEX source only). (provider: intrinio)
high_price : Optional[float]
High Price for the trading day. (provider: intrinio)
low_price : Optional[float]
Low Price for the trading day. (provider: intrinio)
exchange_volume : Optional[int]
Number of shares exchanged during the trading day on the exchange. (provider: intrinio)
market_volume : Optional[int]
Number of shares exchanged during the trading day for the whole market. (provider: intrinio)
updated_on : Optional[datetime]
Date and Time when the data was last updated. (provider: intrinio)
source : Optional[str]
Source of the data. (provider: intrinio)
listing_venue : Optional[str]
Listing venue where the trade took place (SIP source only). (provider: intrinio)
sales_conditions : Optional[str]
Indicates any sales condition modifiers associated with the trade. (provider: intrinio)
quote_conditions : Optional[str]
Indicates any quote condition modifiers associated with the trade. (provider: intrinio)
market_center_code : Optional[str]
Market center character code. (provider: intrinio)
is_darkpool : Optional[bool]
Whether or not the current trade is from a darkpool. (provider: intrinio)
messages : Optional[List[str]]
Messages associated with the endpoint. (provider: intrinio)
security : Optional[Dict[str, Any]]
Security details related to the quote. (provider: intrinio)""" # noqa: E501
inputs = filter_inputs(
provider_choices={
"provider": provider,
},
standard_params={
"symbol": ",".join(symbol) if isinstance(symbol, list) else symbol,
},
extra_params=kwargs,
)
return self._run(
"/stocks/quote",
**inputs,
)