diff --git a/openbb_sdk/extensions/stocks/openbb_stocks/options/options_router.py b/openbb_sdk/extensions/stocks/openbb_stocks/options/options_router.py index 83393510a36..ae01b99ffb0 100644 --- a/openbb_sdk/extensions/stocks/openbb_stocks/options/options_router.py +++ b/openbb_sdk/extensions/stocks/openbb_stocks/options/options_router.py @@ -1,19 +1,29 @@ +"""Options Router.""" + +from openbb_core.app.model.command_context import CommandContext from openbb_core.app.model.command_output import CommandOutput from openbb_core.app.model.results.empty import Empty +from openbb_core.app.provider_interface import ( + ExtraParams, + ProviderChoices, + StandardParams, +) +from openbb_core.app.query import Query from openbb_core.app.router import Router +from pydantic import BaseModel router = Router(prefix="/options") -@router.command -def chains() -> CommandOutput[Empty]: # type: ignore - """Return options chains with greeks.""" - return CommandOutput(results=Empty()) - - -@router.command -def dte() -> CommandOutput[Empty]: # type: ignore - return CommandOutput(results=Empty()) +@router.command(model="OptionsChains") +def chains( + cc: CommandContext, + provider_choices: ProviderChoices, + standard_params: StandardParams, + extra_params: ExtraParams, +) -> CommandOutput[BaseModel]: + """Get the complete options chain for a ticker.""" + return CommandOutput(results=Query(**locals()).execute()) @router.command @@ -22,21 +32,9 @@ def eodchain() -> CommandOutput[Empty]: # type: ignore return CommandOutput(results=Empty()) -@router.command -def expirations() -> CommandOutput[Empty]: # type: ignore - """Return options expirations.""" - return CommandOutput(results=Empty()) - - -@router.command -def grhist() -> CommandOutput[Empty]: # type: ignore - """Plot option greek history.""" - return CommandOutput(results=Empty()) - - @router.command def hist() -> CommandOutput[Empty]: # type: ignore - """Plot option history.""" + """Get historical data for a single option contract.""" return CommandOutput(results=Empty()) @@ -46,26 +44,9 @@ def info() -> CommandOutput[Empty]: # type: ignore return CommandOutput(results=Empty()) -@router.command -def last_price() -> CommandOutput[Empty]: # type: ignore - """Return last price of an option.""" - return CommandOutput(results=Empty()) - - -@router.command -def oi() -> CommandOutput[Empty]: # type: ignore - """Plot option open interest.""" - return CommandOutput(results=Empty()) - - @router.command def pcr() -> CommandOutput[Empty]: # type: ignore - """Display put/call ratio for ticker.""" - return CommandOutput(results=Empty()) - - -@router.command -def price() -> CommandOutput[Empty]: # type: ignore + """Display historical rolling put/call ratio for ticker over a defined window.""" return CommandOutput(results=Empty()) @@ -73,21 +54,3 @@ def price() -> CommandOutput[Empty]: # type: ignore def unu() -> CommandOutput[Empty]: # type: ignore """Show unusual options activity.""" return CommandOutput(results=Empty()) - - -@router.command -def voi() -> CommandOutput[Empty]: # type: ignore - """Plot volume and open interest.""" - return CommandOutput(results=Empty()) - - -@router.command -def vol() -> CommandOutput[Empty]: # type: ignore - """Plot volume.""" - return CommandOutput(results=Empty()) - - -@router.command -def vsurf() -> CommandOutput[Empty]: # type: ignore - """Show 3D volatility surface.""" - return CommandOutput(results=Empty()) diff --git a/openbb_sdk/extensions/stocks/openbb_stocks/stocks_router.py b/openbb_sdk/extensions/stocks/openbb_stocks/stocks_router.py index 7dce2e4d320..8f7d3956c2e 100644 --- a/openbb_sdk/extensions/stocks/openbb_stocks/stocks_router.py +++ b/openbb_sdk/extensions/stocks/openbb_stocks/stocks_router.py @@ -73,6 +73,17 @@ def tob() -> CommandOutput[Empty]: return CommandOutput(results=Empty()) +@router.command(model="StockSearch") +def search( + cc: CommandContext, + provider_choices: ProviderChoices, + standard_params: StandardParams, + extra_params: ExtraParams, +) -> CommandOutput[BaseModel]: + """Search for a company or stock ticker.""" + return CommandOutput(results=Query(**locals()).execute()) + + @router.command(model="StockQuote") def quote( cc: CommandContext, @@ -84,7 +95,12 @@ def quote( return CommandOutput(results=Query(**locals()).execute()) -@router.command -def search() -> CommandOutput[Empty]: - """Search a specific stock ticker for analysis.""" - return CommandOutput(results=Empty()) +@router.command(model="StockInfo") +def info( + cc: CommandContext, + provider_choices: ProviderChoices, + standard_params: StandardParams, + extra_params: ExtraParams, +) -> CommandOutput[BaseModel]: + """Get general price and performance metrics of a stock.""" + return CommandOutput(results=Query(**locals()).execute()) diff --git a/openbb_sdk/poetry.lock b/openbb_sdk/poetry.lock index 7d34eeca267..128dbb0cc97 100644 --- a/openbb_sdk/poetry.lock +++ b/openbb_sdk/poetry.lock @@ -1,10 +1,9 @@ -# This file is automatically @generated by Poetry 1.4.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand. [[package]] name = "aiohttp" version = "3.8.5" description = "Async http client/server framework (asyncio)" -category = "main" optional = false python-versions = ">=3.6" files = [ @@ -113,7 +112,6 @@ speedups = ["Brotli", "aiodns", "cchardet"] name = "aiosignal" version = "1.3.1" description = "aiosignal: a list of registered asynchronous callbacks" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -128,7 +126,6 @@ frozenlist = ">=1.1.0" name = "anyio" version = "3.7.1" description = "High level compatibility layer for multiple asynchronous event loop implementations" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -150,7 +147,6 @@ trio = ["trio (<0.22)"] name = "async-timeout" version = "4.0.2" description = "Timeout context manager for asyncio programs" -category = "main" optional = false python-versions = ">=3.6" files = [ @@ -158,11 +154,20 @@ files = [ {file = "async_timeout-4.0.2-py3-none-any.whl", hash = "sha256:8ca1e4fcf50d07413d66d1a5e416e42cfdf5851c981d679a09851a6853383b3c"}, ] +[[package]] +name = "atomicwrites" +version = "1.4.1" +description = "Atomic file writes." +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +files = [ + {file = "atomicwrites-1.4.1.tar.gz", hash = "sha256:81b2c9071a49367a7f770170e5eec8cb66567cfbbc8c73d20ce5ca4a8d71cf11"}, +] + [[package]] name = "attrs" version = "23.1.0" description = "Classes Without Boilerplate" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -181,7 +186,6 @@ tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pyte name = "backoff" version = "2.2.1" description = "Function decoration for backoff and retry" -category = "main" optional = false python-versions = ">=3.7,<4.0" files = [ @@ -193,7 +197,6 @@ files = [ name = "bcrypt" version = "4.0.1" description = "Modern password hashing for your software and your servers" -category = "main" optional = false python-versions = ">=3.6" files = [ @@ -228,7 +231,6 @@ typecheck = ["mypy"] name = "certifi" version = "2023.7.22" description = "Python package for providing Mozilla's CA Bundle." -category = "main" optional = false python-versions = ">=3.6" files = [ @@ -240,7 +242,6 @@ files = [ name = "charset-normalizer" version = "3.2.0" description = "The Real First Universal Charset Detector. 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description = "Statistical computations and models for Python" -category = "main" optional = false python-versions = ">=3.8" files = [ @@ -2191,7 +2177,6 @@ docs = ["ipykernel", "jupyter-client", "matplotlib", "nbconvert", "nbformat", "n name = "svglib" version = "1.5.1" description = "A pure-Python library for reading and converting SVG" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -2208,7 +2193,6 @@ tinycss2 = ">=0.6.0" name = "tenacity" version = "8.2.2" description = "Retry code until it succeeds" -category = "main" optional = false python-versions = ">=3.6" files = [ @@ -2223,7 +2207,6 @@ doc = ["reno", "sphinx", "tornado (>=4.5)"] name = "tinycss2" version = "1.2.1" description = "A tiny CSS parser" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -2238,11 +2221,21 @@ webencodings = ">=0.4" doc = ["sphinx", "sphinx_rtd_theme"] test = ["flake8", "isort", "pytest"] +[[package]] +name = "toml" +version = "0.10.2" +description = "Python Library for Tom's Obvious, Minimal Language" +optional = false +python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*" +files = [ + {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"}, + {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"}, +] + [[package]] name = "traitlets" version = "5.9.0" description = "Traitlets Python configuration system" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -2258,7 +2251,6 @@ test = ["argcomplete (>=2.0)", "pre-commit", "pytest", "pytest-mock"] name = "typing-extensions" version = "4.7.1" description = "Backported and Experimental Type Hints for Python 3.7+" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -2270,7 +2262,6 @@ files = [ name = "tzdata" version = "2023.3" description = "Provider of IANA time zone data" -category = "main" optional = false python-versions = ">=2" files = [ @@ -2282,7 +2273,6 @@ files = [ name = "urllib3" version = "1.26.16" description = "HTTP library with thread-safe connection pooling, file post, and more." -category = "main" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*" files = [ @@ -2299,7 +2289,6 @@ socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"] name = "uuid7" version = "0.1.0" description = "UUID version 7, generating time-sorted UUIDs with 200ns time resolution and 48 bits of randomness" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -2311,7 +2300,6 @@ files = [ name = "uvicorn" version = "0.20.0" description = "The lightning-fast ASGI server." -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -2330,7 +2318,6 @@ standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", name = "webencodings" version = "0.5.1" description = "Character encoding aliases for legacy web content" -category = "main" optional = false python-versions = "*" files = [ @@ -2342,7 +2329,6 @@ files = [ name = "websockets" version = "10.4" description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -2421,7 +2407,6 @@ files = [ name = "yarl" version = "1.9.2" description = "Yet another URL library" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -2509,7 +2494,6 @@ multidict = ">=4.0" name = "zipp" version = "3.16.2" description = "Backport of pathlib-compatible object wrapper for zip files" -category = "main" optional = false python-versions = ">=3.8" files = [ @@ -2524,4 +2508,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" python-versions = ">=3.8,<3.12" -content-hash = "2fcad28b96b1bff28287f2db683226b75e7d347c570fd56a3b2f193bbb7b0dab" +content-hash = "bde8c6323f63b941db0d777b634bf835aad0c8c016a23b132b3dfd4b492d3a3f" diff --git a/openbb_sdk/providers/cboe/README.md b/openbb_sdk/providers/cboe/README.md new file mode 100644 index 00000000000..003b13b5218 --- /dev/null +++ b/openbb_sdk/providers/cboe/README.md @@ -0,0 +1,12 @@ +# OpenBB CBOE Provider + +This extension integrates the CBOE (Chicago Board Options Exchange) data provider +into the OpenBB SDK. + +## Installation + +To install the extension, run the following command in this folder: + +```bash +pip install . +``` diff --git a/openbb_sdk/providers/cboe/openbb_cboe/__init__.py b/openbb_sdk/providers/cboe/openbb_cboe/__init__.py new file mode 100644 index 00000000000..0e2877a5b59 --- /dev/null +++ b/openbb_sdk/providers/cboe/openbb_cboe/__init__.py @@ -0,0 +1,20 @@ +"""cboe provider module.""" +from openbb_provider.abstract.provider import Provider + +from openbb_cboe.models.options_chains import CboeOptionsChainsFetcher +from openbb_cboe.models.stock_eod import CboeStockEODFetcher +from openbb_cboe.models.stock_info import CboeStockInfoFetcher +from openbb_cboe.models.stock_search import CboeStockSearchFetcher + +cboe_provider = Provider( + name="cboe", + website="https://www.cboe.com/", + description="""Provider for CBOE.""", + required_credentials=None, + fetcher_dict={ + "StockSearch": CboeStockSearchFetcher, + "OptionsChains": CboeOptionsChainsFetcher, + "StockEOD": CboeStockEODFetcher, + "StockInfo": CboeStockInfoFetcher, + }, +) diff --git a/openbb_sdk/providers/cboe/openbb_cboe/models/__init__.py b/openbb_sdk/providers/cboe/openbb_cboe/models/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/openbb_sdk/providers/cboe/openbb_cboe/models/options_chains.py b/openbb_sdk/providers/cboe/openbb_cboe/models/options_chains.py new file mode 100644 index 00000000000..3cdc6a5e63b --- /dev/null +++ b/openbb_sdk/providers/cboe/openbb_cboe/models/options_chains.py @@ -0,0 +1,119 @@ +"""CBOE Options Chains fetcher.""" + +# IMPORT STANDARD +from datetime import datetime +from typing import Any, Dict, List, Optional + +from openbb_provider.abstract.fetcher import Fetcher +from openbb_provider.models.options_chains import ( + OptionsChainsData, + OptionsChainsQueryParams, +) +from pydantic import Field, validator + +from openbb_cboe.utils.helpers import get_chains + + +class CboeOptionsChainsQueryParams(OptionsChainsQueryParams): + """CBOE Options Chains query. + + Source: https://www.cboe.com/ + """ + + +class CboeOptionsChainsData(OptionsChainsData): + """CBOE Options Chains Data.""" + + contractSymbol: str = Field( + description="The contract symbol for the option.", + ) + dte: int = Field( + description="The days to expiration for the option.", + ) + bidSize: int = Field( + description="The bid size for the option.", + ) + askSize: int = Field( + description="The ask size for the option.", + ) + impliedVolatility: float = Field( + description="The implied volatility of the option.", + ) + delta: float = Field( + description="The delta of the option.", + ) + gamma: float = Field( + description="The gamma of the option.", + ) + theta: float = Field( + description="The theta of the option.", + ) + rho: float = Field( + description="The rho of the option.", + ) + vega: float = Field( + description="The vega of the option.", + ) + theoretical: float = Field( + description="The theoretical value of the option.", + ) + open: float = Field( + description="The opening price of the option.", + ) + high: float = Field( + description="The high price of the option.", + ) + low: float = Field( + description="The low price of the option.", + ) + lastTradePrice: float = Field( + description="The last trade price of the option.", + ) + tick: str = Field( + description="Whether the last tick was up or down in price.", + ) + previousClose: float = Field( + description="The previous closing price of the option.", + ) + change: float = Field( + description="The change in price of the option.", + ) + changePercent: float = Field( + description="The change, in percent, of the option.", + ) + lastTradeTimestamp: datetime = Field( + description="The last trade timestamp of the option.", + ) + + @validator("expiration", pre=True, check_fields=False) + def date_validate(cls, v): # pylint: disable=E0213 + return datetime.strptime(v, "%Y-%m-%d") + + +class CboeOptionsChainsFetcher( + Fetcher[ + CboeOptionsChainsQueryParams, + CboeOptionsChainsData, + ] +): + @staticmethod + def transform_query(params: Dict[str, Any]) -> CboeOptionsChainsQueryParams: + return CboeOptionsChainsQueryParams(**params) + + @staticmethod + def extract_data( + query: CboeOptionsChainsQueryParams, + credentials: Optional[Dict[str, str]], + **kwargs: Any, + ) -> List[CboeOptionsChainsData]: + data = get_chains(query.symbol).to_dict("records") + + data_ = {} + data_.update({"results": data}) + return [CboeOptionsChainsData.parse_obj(d) for d in data_.get("results", [])] + + @staticmethod + def transform_data( + data: List[CboeOptionsChainsData], + ) -> List[CboeOptionsChainsData]: + return data diff --git a/openbb_sdk/providers/cboe/openbb_cboe/models/stock_eod.py b/openbb_sdk/providers/cboe/openbb_cboe/models/stock_eod.py new file mode 100644 index 00000000000..1230332000c --- /dev/null +++ b/openbb_sdk/providers/cboe/openbb_cboe/models/stock_eod.py @@ -0,0 +1,60 @@ +"""CBOE Stock EOD fetcher.""" + +# IMPORT STANDARD +from datetime import datetime, timedelta +from typing import Any, Dict, List, Optional + +from openbb_provider.abstract.fetcher import Fetcher +from openbb_provider.models.stock_eod import StockEODData, StockEODQueryParams +from pydantic import validator + +from openbb_cboe.utils.helpers import get_eod_prices + + +class CboeStockEODQueryParams(StockEODQueryParams): + """CBOE Stock end of day query. + + Source: https://www.cboe.com/ + """ + + +class CboeStockEODData(StockEODData): + """CBOE stocks end of day Data.""" + + @validator("date", pre=True, check_fields=False) + def date_validate(cls, v): # pylint: disable=E0213 + return datetime.strptime(v, "%Y-%m-%d") + + +class CboeStockEODFetcher( + Fetcher[ + CboeStockEODQueryParams, + CboeStockEODData, + ] +): + @staticmethod + def transform_query(params: Dict[str, Any]) -> CboeStockEODQueryParams: + now = datetime.now() + transformed_params = params + if params.get("start_date") is None: + transformed_params["start_date"] = now - timedelta(days=50000) + if params.get("end_date") is None: + transformed_params["end_date"] = now + return CboeStockEODQueryParams(**transformed_params) + + @staticmethod + def extract_data( + query: CboeStockEODQueryParams, + credentials: Optional[Dict[str, str]], + **kwargs: Any, + ) -> List[CboeStockEODData]: + data = get_eod_prices(query.symbol, query.start_date, query.end_date).to_dict( + "records" + ) + data_ = {} + data_.update({"results": data}) + return [CboeStockEODData.parse_obj(d) for d in data_.get("results", [])] + + @staticmethod + def transform_data(data: List[CboeStockEODData]) -> List[CboeStockEODData]: + return data diff --git a/openbb_sdk/providers/cboe/openbb_cboe/models/stock_info.py b/openbb_sdk/providers/cboe/openbb_cboe/models/stock_info.py new file mode 100644 index 00000000000..4236ea68626 --- /dev/null +++ b/openbb_sdk/providers/cboe/openbb_cboe/models/stock_info.py @@ -0,0 +1,101 @@ +"""CBOE Stock Info fetcher.""" + +# IMPORT STANDARD +from datetime import datetime +from typing import Any, Dict, List, Optional + +from openbb_provider.abstract.fetcher import Fetcher +from openbb_provider.models.stock_info import StockInfoData, StockInfoQueryParams +from pydantic import Field, validator + +from openbb_cboe.utils.helpers import get_info + + +class CboeStockInfoQueryParams(StockInfoQueryParams): + """CBOE Company Search query. + + Source: https://www.cboe.com/ + """ + + +class CboeStockInfoData(StockInfoData): + """CBOE Company Search Data.""" + + type: Optional[str] = Field(description="The type of asset.") + tick: Optional[str] = Field( + description="Whether the last sale was an up or down tick." + ) + bid: Optional[float] = Field(description="The current bid price.") + bid_size: Optional[float] = Field(description="The bid lot size.") + ask: Optional[float] = Field(description="The current ask price.") + ask_size: Optional[float] = Field(description="The ask lot size.") + volume: Optional[float] = Field( + description="The stock volume for the current trading day." + ) + iv_thirty: Optional[float] = Field( + description="The 30-day implied volatility of the stock." + ) + iv_thirty_change: Optional[float] = Field( + description="The change in 30-day implied volatility of the stock." + ) + last_trade_timestamp: Optional[datetime] = Field( + description="The last trade timestamp for the stock." + ) + iv_thirty_one_year_high: Optional[float] = Field( + description="The 1-year high of implied volatility." + ) + hv_thirty_one_year_high: Optional[float] = Field( + description="The 1-year high of realized volatility." + ) + iv_thirty_one_year_low: Optional[float] = Field( + description="The 1-year low of implied volatility." + ) + hv_thirty_one_year_low: Optional[float] = Field( + description="The 1-year low of realized volatility." + ) + iv_sixty_one_year_high: Optional[float] = Field( + description="The 60-day high of implied volatility." + ) + hv_sixty_one_year_high: Optional[float] = Field( + description="The 60-day high of realized volatility." + ) + iv_sixty_one_year_low: Optional[float] = Field( + description="The 60-day low of implied volatility." + ) + hv_sixty_one_year_low: Optional[float] = Field( + description="The 60-day low of realized volatility." + ) + iv_ninety_one_year_high: Optional[float] = Field( + description="The 90-day high of implied volatility." + ) + hv_ninety_one_year_high: Optional[float] = Field( + description="The 90-day high of realized volatility." + ) + + @validator("symbol", pre=True, check_fields=False) + def name_validate(cls, v): # pylint: disable=E0213 + return v.upper() + + +class CboeStockInfoFetcher( + Fetcher[ + CboeStockInfoQueryParams, + CboeStockInfoData, + ] +): + @staticmethod + def transform_query(params: Dict[str, Any]) -> CboeStockInfoQueryParams: + return CboeStockInfoQueryParams(**params) + + @staticmethod + def extract_data( + query: CboeStockInfoQueryParams, + credentials: Optional[Dict[str, str]], + **kwargs: Any, + ) -> List[CboeStockInfoData]: + data = get_info(query.symbol).to_dict() + return CboeStockInfoData.parse_obj(data) + + @staticmethod + def transform_data(data: List[CboeStockInfoData]) -> List[CboeStockInfoData]: + return data diff --git a/openbb_sdk/providers/cboe/openbb_cboe/models/stock_search.py b/openbb_sdk/providers/cboe/openbb_cboe/models/stock_search.py new file mode 100644 index 00000000000..a15404be96c --- /dev/null +++ b/openbb_sdk/providers/cboe/openbb_cboe/models/stock_search.py @@ -0,0 +1,68 @@ +"""CBOE Company Search fetcher.""" + +# IMPORT STANDARD +from typing import Any, Dict, List, Optional + +from openbb_provider.abstract.fetcher import Fetcher +from openbb_provider.models.stock_search import ( + StockSearchData, + StockSearchQueryParams, +) +from pydantic import Field, validator + +from openbb_cboe.utils.helpers import stock_search + + +class CboeStockSearchQueryParams(StockSearchQueryParams): + """CBOE Company Search query. + + Source: https://www.cboe.com/ + """ + + +class CboeStockSearchData(StockSearchData): + """CBOE Company Search Data.""" + + class Config: + fields = { + "name": "Company Name", + "symbol": "Symbol", + } + + dpmName: Optional[str] = Field( + description="The name of the primary market maker.", + alias="DPM Name", + ) + postStation: Optional[str] = Field( + description="The post and station location on the CBOE trading floor.", + alias="Post/Station", + ) + + @validator("symbol", pre=True, check_fields=False) + def name_validate(cls, v): # pylint: disable=E0213 + return v.upper() + + +class CboeStockSearchFetcher( + Fetcher[ + CboeStockSearchQueryParams, + CboeStockSearchData, + ] +): + @staticmethod + def transform_query(params: Dict[str, Any]) -> CboeStockSearchQueryParams: + return CboeStockSearchQueryParams(**params) + + @staticmethod + def extract_data( + query: CboeStockSearchQueryParams, + credentials: Optional[Dict[str, str]], + **kwargs: Any, + ) -> List[CboeStockSearchData]: + data = stock_search(query.query, ticker=query.ticker) + + return [CboeStockSearchData.parse_obj(d) for d in data.get("results", [])] + + @staticmethod + def transform_data(data: List[CboeStockSearchData]) -> List[CboeStockSearchData]: + return data diff --git a/openbb_sdk/providers/cboe/openbb_cboe/utils/__init__.py b/openbb_sdk/providers/cboe/openbb_cboe/utils/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/openbb_sdk/providers/cboe/openbb_cboe/utils/cboe_companies.json b/openbb_sdk/providers/cboe/openbb_cboe/utils/cboe_companies.json new file mode 100644 index 00000000000..5bd1075f48d --- /dev/null +++ b/openbb_sdk/providers/cboe/openbb_cboe/utils/cboe_companies.json @@ -0,0 +1 @@ +{"Company Name":{"SVIX":"-1x Short VIX Futures ETF","FLWS":"1 800 FLOWERS COM INC CL A","VCXA":"10X CAP VENTURE ACQSTN CORP II COM CL A","TXG":"10X GENOMICS INC CL A COM","YQ":"17 ED & TECHNOLOGY GROUP INC ADS","TURN":"180 DEGREE CAP CORP COM NEW","ATNF":"180 LIFE SCIENCES CORP COM NEW","DIBS":"1STDIBS COM INC COM","XXII":"22ND CENTY GROUP INC COM NEW","ME":"23ANDME HOLDING CO CLASS A COM","TSVT":"2SEVENTY BIO INC COMMON STOCK","TWOU":"2U INC COM","BITX":"2x Bitcoin Strategy ETF","UVIX":"2x Long VIX Futures ETF ","DDD":"3-D SYS CORP DEL COM NEW","MMM":"3M CO COM","FDMT":"4D MOLECULAR THERAPEUTICS INC COM","FEAM":"5E ADVANCED MATERIALS INC COMMON STOCK","ETNB":"89BIO INC COM","EGHT":"8X8 INC NEW COM","NMTRQ":"9 METERS BIOPHARMA INC COM NEW","MASS":"908 DEVICES INC COM","AKA":"A K A BRANDS HLDG CORP COM","AMRK":"A-MARK PRECIOUS METALS INC COM","ATEN":"A10 NETWORKS INC COM","AAON":"AAON INC COM PAR $0.004","AIR":"AAR CORP COM","ABT":"ABBOTT LABS COM","ABBV":"ABBVIE INC COM","ABCM":"ABCAM PLC ADS","ABCL":"ABCELLERA BIOLOGICS INC COM","ABEO":"ABEONA THERAPEUTICS INC COM NEW","ANF":"ABERCROMBIE & FITCH CO CL A","ABM":"ABM INDS INC COM","BCIM":"ABRDN ETFS BBG INDUSTRL MET","BCI":"ABRDN ETFS BBRG ALL COMD K1","BCD":"ABRDN ETFS BBRG ALL COMMDY","SGOL":"ABRDN GOLD ETF TRUST PHYSCL GOLD SHS","SIVR":"ABRDN SILVER ETF TRUST PHYSCL SILVR SHS","ABSI":"ABSCI CORPORATION COM","ABST":"ABSOLUTE SOFTWARE CORP COM","ACTG":"ACACIA RESH CORP ACACIA TCH COM","ASO":"ACADEMY SPORTS & OUTDOORS INC COM","ACHC":"ACADIA HEALTHCARE COMPANY INC COM","ACAD":"ACADIA PHARMACEUTICALS INC COM","ACEL":"ACCEL ENTERTAINMENT INC COM CL A1","AXDX":"ACCELERATE DIAGNOSTICS INC COM NEW","ACN":"ACCENTURE PLC IRELAND SHS CLASS A","ACCO":"ACCO BRANDS CORP COM","ACCD":"ACCOLADE INC COM","ARAY":"ACCURAY INC COM","ACRX":"ACELRX PHARMACEUTICALS INC COM NEW","SLRN":"ACELYRIN INC COM","ACER":"ACER THERAPEUTICS INC 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\ No newline at end of file diff --git a/openbb_sdk/providers/cboe/openbb_cboe/utils/helpers.py b/openbb_sdk/providers/cboe/openbb_cboe/utils/helpers.py new file mode 100644 index 00000000000..f863f43b44d --- /dev/null +++ b/openbb_sdk/providers/cboe/openbb_cboe/utils/helpers.py @@ -0,0 +1,702 @@ +"""CBOE Helpers Module""" + +import os +from datetime import date, datetime, timedelta +from pathlib import Path +from typing import Optional, Tuple + +import numpy as np +import pandas as pd +import requests +from requests import HTTPError + +TICKER_EXCEPTIONS = ["NDX", "RUT"] + + +def get_user_agent() -> str: + """Get a not very random user agent.""" + user_agent_strings = [ + "Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10.10; rv:86.1) Gecko/20100101 Firefox/86.1", + "Mozilla/5.0 (Windows NT 6.1; WOW64; rv:86.1) Gecko/20100101 Firefox/86.1", + "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.10; rv:82.1) Gecko/20100101 Firefox/82.1", + "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.13; rv:86.0) Gecko/20100101 Firefox/86.0", + "Mozilla/5.0 (Windows NT 10.0; WOW64; rv:86.0) Gecko/20100101 Firefox/86.0", + "Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10.10; rv:83.0) Gecko/20100101 Firefox/83.0", + "Mozilla/5.0 (Windows NT 6.1; WOW64; rv:84.0) Gecko/20100101 Firefox/84.0", + ] + + return np.random.choice(user_agent_strings) # nosec + + +def request( + url: str, method: str = "GET", timeout: int = 10, **kwargs +) -> requests.Response: + """Abstract helper to make requests from a url with potential headers and params. + + Parameters + ---------- + url : str + Url to make the request to + method : str, optional + HTTP method to use. Can be "GET" or "POST", by default "GET" + + Returns + ------- + requests.Response + Request response object + + Raises + ------ + ValueError + If invalid method is passed + """ + + # If there are headers, check if there is a user agent, if not add one. + # Some requests seem to work only with a specific user agent, so we want to be able to override it. + headers = kwargs.pop("headers", {}) + + if "User-Agent" not in headers: + headers["User-Agent"] = get_user_agent() + if method.upper() == "GET": + return requests.get( + url, + headers=headers, + timeout=timeout, + **kwargs, + ) + if method.upper() == "POST": + return requests.post( + url, + headers=headers, + timeout=timeout, + **kwargs, + ) + raise ValueError("Method must be GET or POST") + + +def camel_to_snake(str): + """Convert camelCase to snake_case.""" + return "".join(["_" + i.lower() if i.isupper() else i for i in str]).lstrip("_") + + +def get_cboe_directory() -> pd.DataFrame: + """Gets the US Listings Directory for the CBOE. + + Returns + ------- + pd.DataFrame: CBOE_DIRECTORY + DataFrame of the CBOE listings directory + """ + try: + CBOE_DIRECTORY: pd.DataFrame = pd.read_csv( + "https://www.cboe.com/us/options/symboldir/equity_index_options/?download=csv" + ) + CBOE_DIRECTORY = CBOE_DIRECTORY.rename( + columns={ + " Stock Symbol": "Symbol", + " DPM Name": "DPM Name", + " Post/Station": "Post/Station", + } + ).set_index("Symbol") + return CBOE_DIRECTORY + except HTTPError: + return pd.DataFrame() + + +def get_cboe_index_directory() -> pd.DataFrame: + """Gets the US Listings Directory for the CBOE + + Returns + ------- + pd.DataFrame: CBOE_INDEXES + """ + try: + r = request( + "https://cdn.cboe.com/api/global/us_indices/definitions/all_indices.json" + ) + + if r.status_code != 200: + raise HTTPError + + CBOE_INDEXES = pd.DataFrame(r.json()) + + CBOE_INDEXES = CBOE_INDEXES.rename( + columns={ + "calc_end_time": "Close Time", + "calc_start_time": "Open Time", + "currency": "Currency", + "description": "Description", + "display": "Display", + "featured": "Featured", + "featured_order": "Featured Order", + "index_symbol": "Ticker", + "mkt_data_delay": "Data Delay", + "name": "Name", + "tick_days": "Tick Days", + "tick_frequency": "Frequency", + "tick_period": "Period", + "time_zone": "Time Zone", + }, + ) + + indices_order: list[str] = [ + "Ticker", + "Name", + "Description", + "Currency", + "Tick Days", + "Frequency", + "Period", + "Time Zone", + ] + + CBOE_INDEXES = pd.DataFrame(CBOE_INDEXES, columns=indices_order).set_index( + "Ticker" + ) + + return CBOE_INDEXES + + except HTTPError: + return pd.DataFrame() + + +INDEXES = get_cboe_index_directory().index.tolist() +SYMBOLS = pd.DataFrame() +try: + SYMBOLS = get_cboe_directory() +except SYMBOLS.empty: + current_dir = os.path.dirname(os.path.realpath(__file__)) + file = "cboe_companies.json" + SYMBOLS = pd.read_json(Path(current_dir, file)) + + +def stock_search(query: str, ticker: bool = False) -> dict: + """Search the CBOE company directory by name or ticker. + Parameters + ----------- + query: str + The search query + ticker: bool + Whether to search by ticker. Default is False. + + Returns + ------- + dict + Dictionary of the results. + """ + data = {} + symbols = SYMBOLS.copy() if not SYMBOLS.empty else get_cboe_directory() + symbols = symbols.reset_index() + target = "Company Name" if not ticker else "Symbol" + idx = symbols[target].str.contains(query, case=False) + result = symbols[idx].to_dict("records") + if len(result) > 0: + data.update({"results": result}) + return data + print(f"No results found for: {query}. Try another search query.") + return pd.DataFrame() + + +def get_ticker_info(symbol: str) -> Tuple[pd.DataFrame, list[str]]: + """Gets basic info for the symbol and expiration dates + + Parameters + ---------- + symbol: str + The ticker to lookup + + Returns + ------- + Tuple: [pd.DataFrame, pd.Series] + ticker_details + ticker_expirations + """ + + stock = "stock" + index = "index" + symbol = symbol.upper() + new_ticker: str = "" + ticker_details = pd.DataFrame() + ticker_expirations: list = [] + try: + if symbol in TICKER_EXCEPTIONS: + new_ticker = "^" + symbol + else: + if symbol not in INDEXES: + new_ticker = symbol + + elif symbol in INDEXES: + new_ticker = "^" + symbol + + # Gets the data to return, and if none returns empty Tuple # + + symbol_info_url = ( + "https://www.cboe.com/education/tools/trade-optimizer/symbol-info/?symbol=" + f"{new_ticker}" + ) + + symbol_info = request(symbol_info_url) + symbol_info_json = pd.Series(symbol_info.json()) + + if symbol_info_json.success is False: + ticker_details = pd.DataFrame() + ticker_expirations = [] + print("No data found for the symbol: " f"{symbol}" "") + else: + symbol_details = pd.Series(symbol_info_json["details"]) + symbol_details = pd.DataFrame(symbol_details).transpose() + symbol_details = symbol_details.reset_index() + ticker_expirations = symbol_info_json["expirations"] + + # Cleans columns depending on if the security type is a stock or an index + + type_ = symbol_details.security_type + + if stock[0] in type_[0]: + stock_details = symbol_details + ticker_details = pd.DataFrame(stock_details).rename( + columns={ + "current_price": "price", + "bid_size": "bidSize", + "ask_size": "askSize", + "iv30": "ivThirty", + "prev_day_close": "previousClose", + "price_change": "change", + "price_change_percent": "changePercent", + "iv30_change": "ivThirtyChange", + "iv30_percent_change": "ivThirtyChangePercent", + "last_trade_time": "lastTradeTimestamp", + "exchange_id": "exchangeID", + "tick": "tick", + "security_type": "type", + } + ) + details_columns = [ + "symbol", + "type", + "tick", + "bid", + "bidSize", + "askSize", + "ask", + "price", + "open", + "high", + "low", + "close", + "volume", + "previousClose", + "change", + "changePercent", + "ivThirty", + "ivThirtyChange", + "ivThirtyChangePercent", + "lastTradeTimestamp", + ] + ticker_details = ( + pd.DataFrame(ticker_details, columns=details_columns) + .set_index(keys="symbol") + .dropna(axis=1) + .transpose() + ) + + if index[0] in type_[0]: + index_details = symbol_details + ticker_details = pd.DataFrame(index_details).rename( + columns={ + "symbol": "symbol", + "security_type": "type", + "current_price": "price", + "price_change": "change", + "price_change_percent": "changePercent", + "prev_day_close": "previousClose", + "iv30": "ivThirty", + "iv30_change": "ivThirtyChange", + "iv30_change_percent": "ivThirtyChangePercent", + "last_trade_time": "lastTradeTimestamp", + } + ) + + index_columns = [ + "symbol", + "type", + "tick", + "price", + "open", + "high", + "low", + "close", + "previousClose", + "change", + "changePercent", + "ivThirty", + "ivThirtyChange", + "ivThirtyChangePercent", + "lastTradeTimestamp", + ] + + ticker_details = ( + pd.DataFrame(ticker_details, columns=index_columns) + .set_index(keys="symbol") + .dropna(axis=1) + .transpose() + ).rename(columns={f"{new_ticker}": f"{symbol}"}) + + except HTTPError: + print("There was an error with the request'\n") + ticker_details = pd.DataFrame() + ticker_expirations = list() + return ticker_details, ticker_expirations + + return ticker_details, ticker_expirations + + +def get_ticker_iv(symbol: str) -> pd.DataFrame: + """Gets annualized high/low historical and implied volatility over 30/60/90 day windows. + + Parameters + ---------- + symbol: str + The loaded ticker + + Returns + ------- + pd.DataFrame: ticker_iv + """ + + # Checks ticker to determine if ticker is an index or an exception that requires modifying the request's URLs + + try: + if symbol in TICKER_EXCEPTIONS: + quotes_iv_url = ( + "https://cdn.cboe.com/api/global/delayed_quotes/historical_data/_" + f"{symbol}" + ".json" + ) + else: + if symbol not in INDEXES: + quotes_iv_url = ( + "https://cdn.cboe.com/api/global/delayed_quotes/historical_data/" + f"{symbol}" + ".json" + ) + + elif symbol in INDEXES: + quotes_iv_url = ( + "https://cdn.cboe.com/api/global/delayed_quotes/historical_data/_" + f"{symbol}" + ".json" + ) + h_iv = request(quotes_iv_url) + + if h_iv.status_code != 200: + print("No data found for the symbol: " f"{symbol}" "") + return pd.DataFrame() + + data = h_iv.json() + h_data = pd.DataFrame(data)[2:-1]["data"].rename(f"{symbol}") + h_data.rename( + { + "hv30_annual_high": "hvThirtyOneYearHigh", + "hv30_annual_low": "hvThirtyOneYearLow", + "hv60_annual_high": "hvSixtyOneYearHigh", + "hv60_annual_low": "hvSixtyOneYearLow", + "hv90_annual_high": "hvNinetyOneYearHigh", + "hv90_annual_low": "hvNinetyOneYearLow", + "iv30_annual_high": "ivThirtyOneYearHigh", + "iv30_annual_low": "ivThirtyOneYearLow", + "iv60_annual_high": "ivSixtyOneYearHigh", + "iv60_annual_low": "ivSixtyOneYearLow", + "iv90_annual_high": "ivNinetyOneYearHigh", + "iv90_annual_low": "ivNinetyOneYearLow", + }, + inplace=True, + ) + + iv_order = [ + "ivThirtyOneYearHigh", + "hvThirtyOneYearHigh", + "ivThirtyOneYearLow", + "hvThirtyOneYearLow", + "ivSixtyOneYearHigh", + "hvSixtyOneYearHigh", + "ivSixtyOneYearLow", + "hvSixtyOneYearLow", + "ivNinetyOneYearHigh", + "hvNinetyOneYearHigh", + "ivNinetyOneYearLow", + "hvNinetyOneYearLow", + ] + + ticker_iv = pd.DataFrame(h_data).transpose() + except HTTPError: + print("There was an error with the request'\n") + + return pd.DataFrame(ticker_iv, columns=iv_order).transpose() + + +def get_chains(symbol: str) -> pd.DataFrame: + """Gets the complete options chains for a ticker. + + Parameters + ---------- + symbol: str + The ticker get options data for + + Returns + ------- + pd.DataFrame + DataFrame with all active options contracts for the underlying symbol. + """ + + # Checks ticker to determine if ticker is an index or an exception that requires modifying the request's URLs. + symbol = symbol.upper() + try: + if symbol in TICKER_EXCEPTIONS: + quotes_url = ( + "https://cdn.cboe.com/api/global/delayed_quotes/options/_" + f"{symbol}" + ".json" + ) + else: + if symbol not in INDEXES: + quotes_url = ( + "https://cdn.cboe.com/api/global/delayed_quotes/options/" + f"{symbol}" + ".json" + ) + if symbol in INDEXES: + quotes_url = ( + "https://cdn.cboe.com/api/global/delayed_quotes/options/_" + f"{symbol}" + ".json" + ) + + r = request(quotes_url) + if r.status_code != 200: + print("No data found for the symbol: " f"{symbol}" "") + return pd.DataFrame() + + r_json = r.json() + data = pd.DataFrame(r_json["data"]) + options = pd.Series(data.options, index=data.index) + options_columns = list(options[0]) + options_data = list(options[:]) + options_df = pd.DataFrame(options_data, columns=options_columns) + + options_df = options_df.rename( + columns={ + "option": "contractSymbol", + "bid_size": "bidSize", + "ask_size": "askSize", + "iv": "impliedVolatility", + "open_interest": "openInterest", + "theo": "theoretical", + "last_trade_price": "lastTradePrice", + "last_trade_time": "lastTradeTimestamp", + "percent_change": "changePercent", + "prev_day_close": "previousClose", + } + ) + + # Parses the option symbols into columns for expiration, strike, and optionType + + option_df_index = options_df["contractSymbol"].str.extractall( + r"^(?P\D*)(?P\d*)(?P\D*)(?P\d*)" + ) + option_df_index = option_df_index.reset_index().drop( + columns=["match", "level_0"] + ) + option_df_index.optionType = option_df_index.optionType.str.replace( + "C", "call" + ).str.replace("P", "put") + option_df_index.strike = [ele.lstrip("0") for ele in option_df_index.strike] + option_df_index.strike = pd.Series(option_df_index.strike).astype(float) + option_df_index.strike = option_df_index.strike * (1 / 1000) + option_df_index.strike = option_df_index.strike.to_list() + option_df_index.expiration = [ + ele.lstrip("1") for ele in option_df_index.expiration + ] + option_df_index.expiration = pd.DatetimeIndex( + option_df_index.expiration, yearfirst=True + ).astype(str) + option_df_index = option_df_index.drop(columns=["Ticker"]) + + # Joins the parsed symbol into the dataframe. + + quotes = option_df_index.join(options_df) + + now = datetime.now() + temp = pd.DatetimeIndex(quotes.expiration) + temp_ = (temp - now).days + 1 + quotes["dte"] = temp_ + + quotes["lastTradeTimestamp"] = pd.to_datetime(quotes["lastTradeTimestamp"]) + quotes = quotes.set_index( + keys=["expiration", "strike", "optionType"] + ).sort_index() + quotes["openInterest"] = quotes["openInterest"].astype("int64") + quotes["volume"] = quotes["volume"].astype("int64") + quotes["bidSize"] = quotes["bidSize"].astype("int64") + quotes["askSize"] = quotes["askSize"].astype("int64") + quotes["previousClose"] = round(quotes["previousClose"], 2) + quotes["changePercent"] = round(quotes["changePercent"], 2) + + except HTTPError: + print("There was an error with the request'\n") + return pd.DataFrame() + + return quotes.reset_index() + + +def __generate_historical_prices_url( + symbol, data_type: Optional[str] = "historical" +) -> str: + """Generates the final URL for historical prices data.""" + + url: str = "" + + if data_type not in ["historical", "intraday"]: + print( + "Invalid data_type. Must be either 'historical' or 'intraday'. Defaulting to 'historical'." + ) + data_type = "historical" + + if symbol in TICKER_EXCEPTIONS: + url = ( + f"https://cdn.cboe.com/api/global/delayed_quotes/charts/{data_type}/_" + f"{symbol}" + ".json" + ) + else: + if symbol not in INDEXES: + url = ( + f"https://cdn.cboe.com/api/global/delayed_quotes/charts/{data_type}/" + f"{symbol}" + ".json" + ) + + elif symbol in INDEXES: + url = ( + f"https://cdn.cboe.com/api/global/delayed_quotes/charts/{data_type}/_" + f"{symbol}" + ".json" + ) + return url + + +def get_eod_prices( + symbol: str, + start_date: Optional[date] = None, + end_date: Optional[date] = None, +) -> pd.DataFrame: + """Gets EOD data from CBOE. + + Parameters + ---------- + symbol: str + The symbol of the company. + start_date: Optional[date] + The start date. [YYYY-MM-DD] + end_date: Optional[date] + The end date. [YYYY-MM-DD] + + Returns + ------- + pd.DataFrame + DataFrame of daily EOD OHLC+V prices. + """ + + symbol = symbol.upper() + if symbol == ("NDX", "^NDX"): + print("NDX time series data is not currently supported by the CBOE provider.") + return pd.DataFrame() + if "^" in symbol: + symbol = symbol.replace("^", "") + now = datetime.now() + start_date = start_date if start_date else now - timedelta(days=50000) + end_date = end_date if end_date else now + if symbol not in SYMBOLS.index: + print("The symbol, " f"{symbol}" ", was not found in the CBOE directory.") + return pd.DataFrame() + + url = __generate_historical_prices_url(symbol) + r = request(url) + + if r.status_code != 200: + print(f"Error: {r.status_code}") + return pd.DataFrame() + + data = ( + pd.DataFrame(r.json()["data"])[ + ["date", "open", "high", "low", "close", "volume"] + ] + ).set_index("date") + + # Fill in missing data from current or most recent trading session. + + today = pd.to_datetime(datetime.now().date()) + if today.weekday() > 4: + day_minus = today.weekday() - 4 + today = pd.to_datetime(today - timedelta(days=day_minus)) + if today != data.index[-1]: + _today, _ = get_ticker_info(symbol) + today_df = pd.DataFrame() + today_df["open"] = round(_today.loc["open"].astype(float), 2) + today_df["high"] = round(_today.loc["high"].astype(float), 2) + today_df["low"] = round(_today.loc["low"].astype(float), 2) + today_df["close"] = round(_today.loc["close"].astype(float), 2) + if symbol not in INDEXES and symbol not in TICKER_EXCEPTIONS: + data = data[data["volume"] > 0] + today_df["volume"] = _today.loc["volume"] + today_df["date"] = today + today_df = today_df.reset_index(drop=True).set_index("date") + + data = pd.concat([data, today_df], axis=0) + + # If ticker is an index there is no volume data and the types must be set. + + if symbol in INDEXES or symbol in TICKER_EXCEPTIONS: + data = data[["open", "high", "low", "close", "volume"]] + data["open"] = round(data.open.astype(float), 2) + data["high"] = round(data.high.astype(float), 2) + data["low"] = round(data.low.astype(float), 2) + data["close"] = round(data.close.astype(float), 2) + data["volume"] = 0 + + data.index = pd.to_datetime(data.index, format="%Y-%m-%d") + data = data[data["open"] > 0] + + data = data[ + (data.index >= pd.to_datetime(start_date, format="%Y-%m-%d")) + & (data.index <= pd.to_datetime(end_date, format="%Y-%m-%d")) + ] + data.index = data.index.strftime("%Y-%m-%d") + return data.reset_index() + + +def get_info(symbol: str) -> pd.DataFrame: + """Gets information and current statistics for a ticker. + + Parameters + ---------- + symbol: str + The symbol of the company. + + Returns + ------- + pd.DataFrame + Pandas DataFrame with results. + """ + + symbol = symbol.upper() + info = pd.DataFrame() + + _info = get_ticker_info(symbol)[0] + _iv = get_ticker_iv(symbol) + info = pd.concat([_info, _iv]) + info.index = [camel_to_snake(c) for c in info.index] + info.loc["symbol", symbol] = symbol + info.loc["name", symbol] = SYMBOLS[SYMBOLS.index == symbol]["Company Name"][0] + + return info[symbol] diff --git a/openbb_sdk/providers/cboe/poetry.lock b/openbb_sdk/providers/cboe/poetry.lock new file mode 100644 index 00000000000..583148ff3cf --- /dev/null +++ b/openbb_sdk/providers/cboe/poetry.lock @@ -0,0 +1,245 @@ +# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand. + +[[package]] +name = "certifi" +version = "2023.5.7" +description = "Python package for providing Mozilla's CA Bundle." +optional = false +python-versions = ">=3.6" +files = [ + {file = "certifi-2023.5.7-py3-none-any.whl", hash = "sha256:c6c2e98f5c7869efca1f8916fed228dd91539f9f1b444c314c06eef02980c716"}, + {file = "certifi-2023.5.7.tar.gz", hash = "sha256:0f0d56dc5a6ad56fd4ba36484d6cc34451e1c6548c61daad8c320169f91eddc7"}, +] + +[[package]] +name = "charset-normalizer" +version = "3.2.0" +description = "The Real First Universal Charset Detector. 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["PySocks (>=1.5.6,!=1.5.7,<2.0)"] + +[metadata] +lock-version = "2.0" +python-versions = "^3.8" +content-hash = "26269b8a989dcc6ac67961b7a43d485d231c8ac878265ac90f310ced959fc532" diff --git a/openbb_sdk/providers/cboe/pyproject.toml b/openbb_sdk/providers/cboe/pyproject.toml new file mode 100644 index 00000000000..4519e29480c --- /dev/null +++ b/openbb_sdk/providers/cboe/pyproject.toml @@ -0,0 +1,18 @@ +[tool.poetry] +name = "openbb-cboe" +version = "0.1.1" +description = "" +authors = ["OpenBB Team "] +readme = "README.md" +packages = [{ include = "openbb_cboe" }] + +[tool.poetry.dependencies] +python = "^3.8" +openbb-provider = { path = "../../sdk/provider" } + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" + +[tool.poetry.plugins."openbb_provider_extension"] +cboe = "openbb_cboe:cboe_provider" diff --git a/openbb_sdk/providers/cboe/tests/.gitkeep b/openbb_sdk/providers/cboe/tests/.gitkeep new file mode 100644 index 00000000000..e69de29bb2d diff --git a/openbb_sdk/providers/yfinance/README.md b/openbb_sdk/providers/yfinance/README.md new file mode 100644 index 00000000000..072f33d14c3 --- /dev/null +++ b/openbb_sdk/providers/yfinance/README.md @@ -0,0 +1,11 @@ +# OpenBB yfinance Provider + +This extension integrates the yfinance (Yahoo! Finance) data provider into the OpenBB SDK. + +## Installation + +To install the extension, run the following command in this folder: + +```bash +pip install . +``` diff --git a/openbb_sdk/providers/yfinance/openbb_yfinance/__init__.py b/openbb_sdk/providers/yfinance/openbb_yfinance/__init__.py new file mode 100644 index 00000000000..0e366c8681e --- /dev/null +++ b/openbb_sdk/providers/yfinance/openbb_yfinance/__init__.py @@ -0,0 +1,22 @@ +"""yfinance (Yahoo!Finance) provider module.""" +from openbb_provider.abstract.provider import Provider + +from openbb_yfinance.models.crypto_eod import YFinanceCryptoEODFetcher +from openbb_yfinance.models.forex_eod import YFinanceForexEODFetcher +from openbb_yfinance.models.major_indices_eod import YFinanceMajorIndicesEODFetcher +from openbb_yfinance.models.stock_eod import YFinanceStockEODFetcher + +yfinance_provider = Provider( + name="yfinance", + website="https://finance.yahoo.com/", + description="""Yahoo! Finance is a web-based platform that offers financial news, + data, and tools for investors and individuals interested in tracking and analyzing + financial markets and assets.""", + required_credentials=None, + fetcher_dict={ + "CryptoEOD": YFinanceCryptoEODFetcher, + "ForexEOD": YFinanceForexEODFetcher, + "MajorIndicesEOD": YFinanceMajorIndicesEODFetcher, + "StockEOD": YFinanceStockEODFetcher, + }, +) diff --git a/openbb_sdk/providers/yfinance/openbb_yfinance/models/__init__.py b/openbb_sdk/providers/yfinance/openbb_yfinance/models/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/openbb_sdk/providers/yfinance/openbb_yfinance/models/crypto_eod.py b/openbb_sdk/providers/yfinance/openbb_yfinance/models/crypto_eod.py new file mode 100644 index 00000000000..1f4592cf47c --- /dev/null +++ b/openbb_sdk/providers/yfinance/openbb_yfinance/models/crypto_eod.py @@ -0,0 +1,101 @@ +"""yfinance Crypto end of day fetcher.""" + + +from datetime import datetime, timedelta +from typing import Any, Dict, List, Optional + +from openbb_provider.abstract.fetcher import Fetcher +from openbb_provider.models.crypto_eod import CryptoEODData, CryptoEODQueryParams +from openbb_provider.utils.descriptions import QUERY_DESCRIPTIONS +from pydantic import Field, validator +from yfinance import Ticker + +from openbb_yfinance.utils.types import INTERVALS, PERIODS + + +class YFinanceCryptoEODQueryParams(CryptoEODQueryParams): + """YFinance Crypto end of day Query. + + Source: https://finance.yahoo.com/crypto/ + """ + + interval: Optional[INTERVALS] = Field(default="1d", description="Data granularity.") + period: Optional[PERIODS] = Field( + default=None, description=QUERY_DESCRIPTIONS.get("period", "") + ) + + +class YFinanceCryptoEODData(CryptoEODData): + """YFinance Crypto end of day Data.""" + + class Config: + fields = { + "date": "Date", + "open": "Open", + "high": "High", + "low": "Low", + "close": "Close", + "volume": "Volume", + } + + @validator("Date", pre=True, check_fields=False) + def date_validate(cls, v): # pylint: disable=E0213 + return datetime.strptime(v, "%Y-%m-%dT%H:%M:%S") + + +class YFinanceCryptoEODFetcher( + Fetcher[ + YFinanceCryptoEODQueryParams, + YFinanceCryptoEODData, + ] +): + @staticmethod + def transform_query(params: Dict[str, Any]) -> YFinanceCryptoEODQueryParams: + now = datetime.now().date() + transformed_params = params + if params.get("start_date") is None: + transformed_params["start_date"] = now - timedelta(days=7) + + if params.get("end_date") is None: + transformed_params["end_date"] = now + return YFinanceCryptoEODQueryParams(**params) + + @staticmethod + def extract_data( + query: YFinanceCryptoEODQueryParams, + credentials: Optional[Dict[str, str]], + **kwargs: Any + ) -> List[YFinanceCryptoEODData]: + now = datetime.now().date() + query.start_date = query.start_date or (now - timedelta(days=8)) + query.end_date = query.end_date or (now - timedelta(days=1)) + + if query.period: + data = Ticker(query.symbol).history( + interval=query.interval, + period=query.period, + actions=False, + raise_errors=True, + ) + else: + data = Ticker(query.symbol).history( + interval=query.interval, + start=query.start_date, + end=query.end_date, + actions=False, + raise_errors=True, + ) + + data = data.reset_index() + data["Date"] = ( + data["Date"].dt.tz_localize(None).dt.strftime("%Y-%m-%dT%H:%M:%S") + ) + data = data.to_dict("records") + + return [YFinanceCryptoEODData(**d) for d in data] + + @staticmethod + def transform_data( + data: List[YFinanceCryptoEODData], + ) -> List[YFinanceCryptoEODData]: + return data diff --git a/openbb_sdk/providers/yfinance/openbb_yfinance/models/forex_eod.py b/openbb_sdk/providers/yfinance/openbb_yfinance/models/forex_eod.py new file mode 100644 index 00000000000..d27d27162a7 --- /dev/null +++ b/openbb_sdk/providers/yfinance/openbb_yfinance/models/forex_eod.py @@ -0,0 +1,103 @@ +"""yfinance Forex end of day fetcher.""" + + +from datetime import datetime, timedelta +from typing import Any, Dict, List, Optional + +from openbb_provider.abstract.fetcher import Fetcher +from openbb_provider.models.forex_eod import ForexEODData, ForexEODQueryParams +from openbb_provider.utils.descriptions import QUERY_DESCRIPTIONS +from pydantic import Field, validator +from yfinance import Ticker + +from openbb_yfinance.utils.types import INTERVALS, PERIODS + + +class YFinanceForexEODQueryParams(ForexEODQueryParams): + """YFinance Forex end of day Query. + + Source: https://finance.yahoo.com/currencies/ + """ + + interval: Optional[INTERVALS] = Field(default="1d", description="Data granularity.") + period: Optional[PERIODS] = Field( + default=None, description=QUERY_DESCRIPTIONS.get("period", "") + ) + + +class YFinanceForexEODData(ForexEODData): + """YFinance Forex end of day Data.""" + + class Config: + fields = { + "date": "Date", + "open": "Open", + "high": "High", + "low": "Low", + "close": "Close", + "volume": "Volume", + } + + @validator("Date", pre=True, check_fields=False) + def date_validate(cls, v): # pylint: disable=E0213 + return datetime.strptime(v, "%Y-%m-%dT%H:%M:%S") + + +class YFinanceForexEODFetcher( + Fetcher[ + YFinanceForexEODQueryParams, + YFinanceForexEODData, + ] +): + @staticmethod + def transform_query(params: Dict[str, Any]) -> YFinanceForexEODQueryParams: + now = datetime.now().date() + transformed_params = params + if params.get("start_date") is None: + transformed_params["start_date"] = now - timedelta(days=7) + + if params.get("end_date") is None: + transformed_params["end_date"] = now + return YFinanceForexEODQueryParams(**params) + + @staticmethod + def extract_data( + query: YFinanceForexEODQueryParams, + credentials: Optional[Dict[str, str]], + **kwargs: Any, + ) -> List[YFinanceForexEODData]: + query.symbol = f"{query.symbol}=X" + + now = datetime.now().date() + query.start_date = query.start_date or (now - timedelta(days=8)) + query.end_date = query.end_date or (now - timedelta(days=1)) + + if query.period: + data = Ticker(query.symbol).history( + interval=query.interval, + period=query.period, + actions=False, + raise_errors=True, + ) + else: + data = Ticker(query.symbol).history( + interval=query.interval, + start=query.start_date, + end=query.end_date, + actions=False, + raise_errors=True, + ) + + data = data.reset_index() + data["Date"] = ( + data["Date"].dt.tz_localize(None).dt.strftime("%Y-%m-%dT%H:%M:%S") + ) + data = data.to_dict("records") + + return [YFinanceForexEODData(**d) for d in data] + + @staticmethod + def transform_data( + data: List[YFinanceForexEODData], + ) -> List[YFinanceForexEODData]: + return data diff --git a/openbb_sdk/providers/yfinance/openbb_yfinance/models/major_indices_eod.py b/openbb_sdk/providers/yfinance/openbb_yfinance/models/major_indices_eod.py new file mode 100644 index 00000000000..5b7f2cc0962 --- /dev/null +++ b/openbb_sdk/providers/yfinance/openbb_yfinance/models/major_indices_eod.py @@ -0,0 +1,106 @@ +"""yfinance Major Indices end of day fetcher.""" + + +from datetime import datetime, timedelta +from typing import Any, Dict, List, Optional + +from openbb_provider.abstract.fetcher import Fetcher +from openbb_provider.models.major_indices_eod import ( + MajorIndicesEODData, + MajorIndicesEODQueryParams, +) +from openbb_provider.utils.descriptions import QUERY_DESCRIPTIONS +from pydantic import Field, validator +from yfinance import Ticker + +from openbb_yfinance.utils.types import INTERVALS, PERIODS + + +class YFinanceMajorIndicesEODQueryParams(MajorIndicesEODQueryParams): + """YFinance Major Indices end of day Query. + + Source: https://finance.yahoo.com/world-indices + """ + + interval: Optional[INTERVALS] = Field(default="1d", description="Data granularity.") + period: Optional[PERIODS] = Field( + default=None, description=QUERY_DESCRIPTIONS.get("period", "") + ) + + +class YFinanceMajorIndicesEODData(MajorIndicesEODData): + """YFinance Major Indices end of day Data.""" + + class Config: + fields = { + "date": "Date", + "open": "Open", + "high": "High", + "low": "Low", + "close": "Close", + "volume": "Volume", + } + + @validator("Date", pre=True, check_fields=False) + def date_validate(cls, v): # pylint: disable=E0213 + return datetime.strptime(v, "%Y-%m-%dT%H:%M:%S") + + +class YFinanceMajorIndicesEODFetcher( + Fetcher[ + YFinanceMajorIndicesEODQueryParams, + YFinanceMajorIndicesEODData, + ] +): + @staticmethod + def transform_query(params: Dict[str, Any]) -> YFinanceMajorIndicesEODQueryParams: + now = datetime.now().date() + transformed_params = params + if params.get("start_date") is None: + transformed_params["start_date"] = now - timedelta(days=7) + + if params.get("end_date") is None: + transformed_params["end_date"] = now + return YFinanceMajorIndicesEODQueryParams(**params) + + @staticmethod + def extract_data( + query: YFinanceMajorIndicesEODQueryParams, + credentials: Optional[Dict[str, str]], + **kwargs: Any, + ) -> List[YFinanceMajorIndicesEODData]: + query.symbol = f"^{query.symbol}" + + now = datetime.now().date() + query.start_date = query.start_date or (now - timedelta(days=8)) + query.end_date = query.end_date or (now - timedelta(days=1)) + + if query.period: + data = Ticker(query.symbol).history( + interval=query.interval, + period=query.period, + actions=False, + raise_errors=True, + ) + else: + data = Ticker(query.symbol).history( + interval=query.interval, + start=query.start_date, + end=query.end_date, + actions=False, + raise_errors=True, + ) + + data = data.reset_index() + data["Date"] = ( + data["Date"].dt.tz_localize(None).dt.strftime("%Y-%m-%dT%H:%M:%S") + ) + data = data.to_dict("records") + + return [YFinanceMajorIndicesEODData(**d) for d in data] + + @staticmethod + def transform_data( + data: List[YFinanceMajorIndicesEODData], + ) -> List[YFinanceMajorIndicesEODData]: + return data diff --git a/openbb_sdk/providers/yfinance/openbb_yfinance/models/stock_eod.py b/openbb_sdk/providers/yfinance/openbb_yfinance/models/stock_eod.py new file mode 100644 index 00000000000..9910a653a43 --- /dev/null +++ b/openbb_sdk/providers/yfinance/openbb_yfinance/models/stock_eod.py @@ -0,0 +1,101 @@ +"""yfinance Stock end of day fetcher.""" + + +from datetime import datetime, timedelta +from typing import Any, Dict, List, Optional + +from openbb_provider.abstract.fetcher import Fetcher +from openbb_provider.models.stock_eod import StockEODData, StockEODQueryParams +from openbb_provider.utils.descriptions import QUERY_DESCRIPTIONS +from pydantic import Field, validator +from yfinance import Ticker + +from openbb_yfinance.utils.types import INTERVALS, PERIODS + + +class YFinanceStockEODQueryParams(StockEODQueryParams): + """YFinance Stock end of day Query. + + Source: https://finance.yahoo.com/ + """ + + interval: Optional[INTERVALS] = Field(default="1d", description="Data granularity.") + period: Optional[PERIODS] = Field( + default=None, description=QUERY_DESCRIPTIONS.get("period", "") + ) + + +class YFinanceStockEODData(StockEODData): + """YFinance Stock end of day Data.""" + + class Config: + fields = { + "date": "Date", + "open": "Open", + "high": "High", + "low": "Low", + "close": "Close", + "volume": "Volume", + } + + @validator("Date", pre=True, check_fields=False) + def date_validate(cls, v): # pylint: disable=E0213 + return datetime.strptime(v, "%Y-%m-%dT%H:%M:%S") + + +class YFinanceStockEODFetcher( + Fetcher[ + YFinanceStockEODQueryParams, + YFinanceStockEODData, + ] +): + @staticmethod + def transform_query(params: Dict[str, Any]) -> YFinanceStockEODQueryParams: + now = datetime.now().date() + transformed_params = params + if params.get("start_date") is None: + transformed_params["start_date"] = now - timedelta(days=7) + + if params.get("end_date") is None: + transformed_params["end_date"] = now + return YFinanceStockEODQueryParams(**params) + + @staticmethod + def extract_data( + query: YFinanceStockEODQueryParams, + credentials: Optional[Dict[str, str]], + **kwargs: Any + ) -> List[YFinanceStockEODData]: + now = datetime.now().date() + query.start_date = query.start_date or (now - timedelta(days=8)) + query.end_date = query.end_date or (now - timedelta(days=1)) + + if query.period: + data = Ticker(query.symbol).history( + interval=query.interval, + period=query.period, + actions=False, + raise_errors=True, + ) + else: + data = Ticker(query.symbol).history( + interval=query.interval, + start=query.start_date, + end=query.end_date, + actions=False, + raise_errors=True, + ) + + data = data.reset_index() + data["Date"] = ( + data["Date"].dt.tz_localize(None).dt.strftime("%Y-%m-%dT%H:%M:%S") + ) + data = data.to_dict("records") + + return [YFinanceStockEODData(**d) for d in data] + + @staticmethod + def transform_data( + data: List[YFinanceStockEODData], + ) -> List[YFinanceStockEODData]: + return data diff --git a/openbb_sdk/providers/yfinance/openbb_yfinance/utils/__init__.py b/openbb_sdk/providers/yfinance/openbb_yfinance/utils/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/openbb_sdk/providers/yfinance/openbb_yfinance/utils/types.py b/openbb_sdk/providers/yfinance/openbb_yfinance/utils/types.py new file mode 100644 index 00000000000..d44e7ca63d6 --- /dev/null +++ b/openbb_sdk/providers/yfinance/openbb_yfinance/utils/types.py @@ -0,0 +1,11 @@ +"""yfinance types helpers.""" + +from typing import Literal + +INTERVALS = Literal[ + "1m", "2m", "5m", "15m", "30m", "60m", "90m", "1h", "1d", "5d", "1wk", "1mo", "3mo" +] + +PERIODS = Literal[ + "1d", "5d", "1mo", "3mo", "6mo", "1y", "2y", "5y", "10y", "ytd", "max" +] diff --git a/openbb_sdk/providers/yfinance/pyproject.toml b/openbb_sdk/providers/yfinance/pyproject.toml new file mode 100644 index 00000000000..a8448b71a45 --- /dev/null +++ b/openbb_sdk/providers/yfinance/pyproject.toml @@ -0,0 +1,19 @@ +[tool.poetry] +name = "openbb-yfinance" +version = "0.1.1" +description = "" +authors = ["OpenBB Team "] +readme = "README.md" +packages = [{ include = "openbb_yfinance" }] + +[tool.poetry.dependencies] +python = "^3.8" +yfinance="^0.2.27" +openbb-provider = { path = "../../sdk/provider" } + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" + +[tool.poetry.plugins."openbb_provider_extension"] +yfinance = "openbb_yfinance:yfinance_provider" diff --git a/openbb_sdk/providers/yfinance/tests/.gitkeep b/openbb_sdk/providers/yfinance/tests/.gitkeep new file mode 100644 index 00000000000..e69de29bb2d diff --git a/openbb_sdk/pyproject.toml b/openbb_sdk/pyproject.toml index 15f9bdd8616..2f836ebbf14 100644 --- a/openbb_sdk/pyproject.toml +++ b/openbb_sdk/pyproject.toml @@ -21,6 +21,8 @@ openbb-benzinga = { path = "./providers/benzinga" } openbb-fmp = { path = "./providers/fmp" } openbb-polygon = { path = "./providers/polygon" } openbb-fred = { path = "./providers/fred" } +openbb-yfinance = { path = "./providers/yfinance" } +openbb-cboe = { path = "./providers/cboe"} [tool.poetry.group.dev.dependencies] diff --git a/openbb_sdk/sdk/core/openbb_core/app/static/package/economy.py b/openbb_sdk/sdk/core/openbb_core/app/static/package/economy.py index 2c0e5033e47..c601476021e 100644 --- a/openbb_sdk/sdk/core/openbb_core/app/static/package/economy.py +++ b/openbb_sdk/sdk/core/openbb_core/app/static/package/economy.py @@ -20,7 +20,9 @@ class CLASS_economy(Container): def corecpi( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """CORECPI.""" # noqa: E501 inputs = filter_inputs( @@ -305,7 +307,9 @@ class CLASS_economy(Container): def cpi_options( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """Get the options for v3 cpi(options=True)""" # noqa: E501 inputs = filter_inputs( @@ -608,7 +612,9 @@ class CLASS_economy(Container): def macro( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """Query EconDB for macro data.""" # noqa: E501 inputs = filter_inputs( @@ -630,7 +636,9 @@ class CLASS_economy(Container): def macro_countries( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """MACRO_COUNTRIES.""" # noqa: E501 inputs = filter_inputs( @@ -652,7 +660,9 @@ class CLASS_economy(Container): def macro_parameters( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """MACRO_PARAMETERS.""" # noqa: E501 inputs = filter_inputs( @@ -674,7 +684,9 @@ class CLASS_economy(Container): def balance( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """BALANCE.""" # noqa: E501 inputs = filter_inputs( @@ -696,7 +708,9 @@ class CLASS_economy(Container): def bigmac( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """BIGMAC.""" # noqa: E501 inputs = filter_inputs( @@ -718,7 +732,9 @@ class CLASS_economy(Container): def country_codes( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """COUNTRY_CODES.""" # noqa: E501 inputs = filter_inputs( @@ -740,7 +756,9 @@ class CLASS_economy(Container): def currencies( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """CURRENCIES.""" # noqa: E501 inputs = filter_inputs( @@ -762,7 +780,9 @@ class CLASS_economy(Container): def debt( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """DEBT.""" # noqa: E501 inputs = filter_inputs( @@ -784,7 +804,9 @@ class CLASS_economy(Container): def events( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """EVENTS.""" # noqa: E501 inputs = filter_inputs( @@ -806,7 +828,9 @@ class CLASS_economy(Container): def fgdp( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """FGDP.""" # noqa: E501 inputs = filter_inputs( @@ -828,7 +852,9 @@ class CLASS_economy(Container): def fred( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """FRED.""" # noqa: E501 inputs = filter_inputs( @@ -850,7 +876,9 @@ class CLASS_economy(Container): def fred_search( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """FRED Search (was fred_notes).""" # noqa: E501 inputs = filter_inputs( @@ -872,7 +900,9 @@ class CLASS_economy(Container): def futures( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """FUTURES. 2 sources""" # noqa: E501 inputs = filter_inputs( @@ -894,7 +924,9 @@ class CLASS_economy(Container): def gdp( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """GDP.""" # noqa: E501 inputs = filter_inputs( @@ -916,7 +948,9 @@ class CLASS_economy(Container): def glbonds( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """GLBONDS.""" # noqa: E501 inputs = filter_inputs( @@ -938,7 +972,9 @@ class CLASS_economy(Container): def indices( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """INDICES.""" # noqa: E501 inputs = filter_inputs( @@ -960,7 +996,9 @@ class CLASS_economy(Container): def overview( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """OVERVIEW.""" # noqa: E501 inputs = filter_inputs( @@ -982,7 +1020,9 @@ class CLASS_economy(Container): def perfmap( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """PERFMAP.""" # noqa: E501 inputs = filter_inputs( @@ -1004,7 +1044,9 @@ class CLASS_economy(Container): def performance( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """PERFORMANCE.""" # noqa: E501 inputs = filter_inputs( @@ -1026,7 +1068,9 @@ class CLASS_economy(Container): def revenue( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """REVENUE.""" # noqa: E501 inputs = filter_inputs( @@ -1048,7 +1092,9 @@ class CLASS_economy(Container): def rgdp( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """RGDP.""" # noqa: E501 inputs = filter_inputs( @@ -1070,7 +1116,9 @@ class CLASS_economy(Container): def rtps( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """RTPS.""" # noqa: E501 inputs = filter_inputs( @@ -1092,7 +1140,9 @@ class CLASS_economy(Container): def search_index( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """SEARCH_INDEX.""" # noqa: E501 inputs = filter_inputs( @@ -1114,7 +1164,9 @@ class CLASS_economy(Container): def spending( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """SPENDING.""" # noqa: E501 inputs = filter_inputs( @@ -1136,7 +1188,9 @@ class CLASS_economy(Container): def trust( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """TRUST.""" # noqa: E501 inputs = filter_inputs( @@ -1158,7 +1212,9 @@ class CLASS_economy(Container): def usbonds( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """USBONDS.""" # noqa: E501 inputs = filter_inputs( @@ -1180,7 +1236,9 @@ class CLASS_economy(Container): def valuation( self, chart: bool = False, - provider: Optional[Literal["benzinga", "fmp", "fred", "polygon"]] = None, + provider: Optional[ + Literal["benzinga", "cboe", "fmp", "fred", "polygon"] + ] = None, ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: """VALUATION.""" # noqa: E501 inputs = filter_inputs( diff --git a/openbb_sdk/sdk/core/openbb_core/app/static/package/module_map.json b/openbb_sdk/sdk/core/openbb_core/app/static/package/module_map.json index 0d80d215902..b032eb292e1 100644 --- a/openbb_sdk/sdk/core/openbb_core/app/static/package/module_map.json +++ b/openbb_sdk/sdk/core/openbb_core/app/static/package/module_map.json @@ -199,26 +199,18 @@ "stocks_ins_stats": "/stocks/ins/stats", "stocks_options_chains": "/stocks/options/chains", "stocks_options": "/stocks/options", - "stocks_options_dte": "/stocks/options/dte", "stocks_options_eodchain": "/stocks/options/eodchain", - "stocks_options_expirations": "/stocks/options/expirations", - "stocks_options_grhist": "/stocks/options/grhist", "stocks_options_hist": "/stocks/options/hist", "stocks_options_info": "/stocks/options/info", - "stocks_options_last_price": "/stocks/options/last_price", - "stocks_options_oi": "/stocks/options/oi", "stocks_options_pcr": "/stocks/options/pcr", - "stocks_options_price": "/stocks/options/price", "stocks_options_unu": "/stocks/options/unu", - "stocks_options_voi": "/stocks/options/voi", - "stocks_options_vol": "/stocks/options/vol", - "stocks_options_vsurf": "/stocks/options/vsurf", "stocks_load": "/stocks/load", "stocks_news": "/stocks/news", "stocks_multiples": "/stocks/multiples", "stocks_tob": "/stocks/tob", - "stocks_quote": "/stocks/quote", "stocks_search": "/stocks/search", + "stocks_quote": "/stocks/quote", + "stocks_info": "/stocks/info", "ta_atr": "/ta/atr", "ta": "/ta", "ta_fib": "/ta/fib", diff --git a/openbb_sdk/sdk/core/openbb_core/app/static/package/stocks.py b/openbb_sdk/sdk/core/openbb_core/app/static/package/stocks.py index c1eeec218df..19f767222f6 100644 --- a/openbb_sdk/sdk/core/openbb_core/app/static/package/stocks.py +++ b/openbb_sdk/sdk/core/openbb_core/app/static/package/stocks.py @@ -100,10 +100,11 @@ class CLASS_stocks(Container): ), ] = None, chart: bool = False, - provider: Optional[Literal["fmp", "polygon"]] = None, - **kwargs, + provider: Optional[Literal["cboe", "fmp", "polygon"]] = None, + **kwargs ) -> CommandOutput[typing.List]: """Load stock data for a specific ticker. + """Load stock data for a specific ticker. openbb @@ -111,7 +112,7 @@ class CLASS_stocks(Container): Parameters ---------- - provider: Literal[fmp, polygon] + provider: Literal[cboe, fmp, polygon] The provider to use for the query. symbol : ConstrainedStrValue Symbol to get data for. @@ -149,7 +150,7 @@ class CLASS_stocks(Container): The close price of the symbol. volume : float The volume of the symbol. - vwap : Optional[PositiveFloat] + vwap : PositiveFloat Volume Weighted Average Price of the symbol. fmp @@ -171,12 +172,12 @@ class CLASS_stocks(Container): Unadjusted volume of the symbol. change : Optional[float] Change in the price of the symbol from the previous day. - changePercent : Optional[float] - Change \\% in the price of the symbol. - label : Optional[str] + changePercent : float + Change \% in the price of the symbol. + label : str Human readable format of the date. - changeOverTime : Optional[float] - Change \\% in the price of the symbol over a period of time. + changeOverTime : float + Change \% in the price of the symbol over a period of time. polygon ======= @@ -630,16 +631,15 @@ class CLASS_stocks(Container): @filter_call @validate_arguments - def quote( + def search( self, - symbol: typing.Annotated[ - str, OpenBBCustomParameter(description="Symbol to get data for.") - ], + query: str = "", + ticker: bool = False, chart: bool = False, - provider: Optional[Literal["fmp"]] = None, - **kwargs, + provider: Optional[Literal["cboe"]] = None, + **kwargs ) -> CommandOutput[typing.List]: - """Load stock data for a specific ticker. + """Search for a company or stock ticker. openbb @@ -647,10 +647,12 @@ class CLASS_stocks(Container): Parameters ---------- - provider: Literal[fmp] + provider: Literal[cboe] The provider to use for the query. - symbol : ConstrainedStrValue - Symbol to get data for. + query : str + The search query. + ticker : bool + Whether to search by ticker symbol. Returns ------- @@ -667,64 +669,52 @@ class CLASS_stocks(Container): Chart object. - StockQuote - ---------- + StockSearch + ----------- symbol : str - Symbol of the company. - name : Optional[str] + The ticker symbol of the company. + name : str The name of the company. - price : Optional[float] - The current trading price of the stock. - changes_percentage : Optional[float] - The change percentage of the stock price. - change : Optional[float] - The change of the stock price. - day_low : Optional[float] - The lowest price of the stock in the current trading day. - day_high : Optional[float] - The highest price of the stock in the current trading day. - year_high : Optional[float] - The highest price of the stock in the last 52 weeks. - year_low : Optional[float] - The lowest price of the stock in the last 52 weeks. - market_cap : Optional[float] - The market cap of the company. - price_avg50 : Optional[float] - The 50 days average price of the stock. - price_avg200 : Optional[float] - The 200 days average price of the stock. - volume : Optional[int] - The volume of the stock in the current trading day. - avg_volume : Optional[int] - The average volume of the stock in the last 10 trading days. - exchange : Optional[str] - The exchange the stock is traded on. - open : Optional[float] - The opening price of the stock in the current trading day. - previous_close : Optional[float] - The previous closing price of the stock. - eps : Optional[float] - The earnings per share of the stock. - pe : Optional[float] - The price earnings ratio of the stock. - earnings_announcement : Optional[str] - The earnings announcement date of the stock. - shares_outstanding : Optional[int] - The number of shares outstanding of the stock. - date : Optional[datetime] - The timestamp of the stock quote. - fmp - === + cboe + ==== Parameters ---------- All fields are standardized. - StockQuote - ---------- - All fields are standardized.""" # noqa: E501 + StockSearch + ----------- + dpmName : Optional[str] + The name of the primary market maker. + postStation : Optional[str] + The post and station location on the CBOE trading floor.""" + inputs = filter_inputs( + provider_choices={ + "provider": provider, + }, + standard_params={ + "query": query, + "ticker": ticker, + }, + extra_params=kwargs, + chart=chart, + ) + + o = self._command_runner_session.run( + "/stocks/search", + **inputs, + ).output + + return filter_output(o) + + @filter_call + @validate_arguments + def quote( + self, chart: bool = False + ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: + """View the current price for a specific stock ticker.""" inputs = filter_inputs( provider_choices={ "provider": provider, @@ -748,13 +738,20 @@ class CLASS_stocks(Container): def search( self, chart: bool = False ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: - """Search a specific stock ticker for analysis.""" # noqa: E501 + """Search a specific stock ticker for analysis.""" inputs = filter_inputs( + provider_choices={ + "provider": provider, + }, + standard_params={ + "symbol": symbol, + }, + extra_params=kwargs, chart=chart, ) o = self._command_runner_session.run( - "/stocks/search", + "/stocks/info", **inputs, ).output diff --git a/openbb_sdk/sdk/core/openbb_core/app/static/package/stocks_fa.py b/openbb_sdk/sdk/core/openbb_core/app/static/package/stocks_fa.py index fe2ef128057..5cacd10caa3 100644 --- a/openbb_sdk/sdk/core/openbb_core/app/static/package/stocks_fa.py +++ b/openbb_sdk/sdk/core/openbb_core/app/static/package/stocks_fa.py @@ -142,7 +142,10 @@ class CLASS_stocks_fa(Container): deferred_revenue : Optional[int] Accrued income taxes, other deferred revenue short_term_debt : Optional[int] - Short-term borrowings, Long-term debt due within one year, Operating lease obligations due within one year, Finance lease obligations due within one year + + Short-term borrowings, Long-term debt due within one year, Operating lease obligations due within one year, + Finance lease obligations due within one year + current_liabilities : Optional[int] None long_term_debt : Optional[int] @@ -2269,15 +2272,21 @@ class CLASS_stocks_fa(Container): last_total_calls : int Total number of call options contracts traded for Apple Inc. on the previous reporting date. total_calls_change : int - Change in the total number of call options contracts traded between the current and previous reporting dates. + + Change in the total number of call options contracts traded between the current and previous reporting dates. + total_puts : int Total number of put options contracts traded for Apple Inc. on the specified date. last_total_puts : int Total number of put options contracts traded for Apple Inc. on the previous reporting date. total_puts_change : int - Change in the total number of put options contracts traded between the current and previous reporting dates. + + Change in the total number of put options contracts traded between the current and previous reporting dates. + put_call_ratio : float - The put-call ratio, which is the ratio of the total number of put options to call options traded on the specified date. + + The put-call ratio, which is the ratio of the total number of put options to call options. + last_put_call_ratio : float The put-call ratio on the previous reporting date. put_call_ratio_change : float diff --git a/openbb_sdk/sdk/core/openbb_core/app/static/package/stocks_options.py b/openbb_sdk/sdk/core/openbb_core/app/static/package/stocks_options.py index 214b4134b93..35b50c1a256 100644 --- a/openbb_sdk/sdk/core/openbb_core/app/static/package/stocks_options.py +++ b/openbb_sdk/sdk/core/openbb_core/app/static/package/stocks_options.py @@ -1,8 +1,11 @@ ### THIS FILE IS AUTO-GENERATED. DO NOT EDIT. ### +import typing +from typing import Literal, Optional from pydantic import validate_arguments +import openbb_core.app.model.command_context import openbb_core.app.model.results.empty from openbb_core.app.model.command_output import CommandOutput from openbb_core.app.static.container import Container @@ -13,10 +16,115 @@ class CLASS_stocks_options(Container): @filter_call @validate_arguments def chains( - self, chart: bool = False - ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: - """Return options chains with greeks.""" # noqa: E501 + self, + symbol: str, + chart: bool = False, + provider: Optional[Literal["cboe"]] = None, + **kwargs + ) -> CommandOutput[typing.List]: + """Get the complete options chain for a ticker. + + + openbb + ====== + + Parameters + ---------- + provider: Literal[cboe] + The provider to use for the query. + symbol : ConstrainedStrValue + Symbol to get data for. + + Returns + ------- + CommandOutput + results: List[Data] + Serializable results. + provider: Optional[PROVIDERS] + Provider name. + warnings: Optional[List[Warning_]] + List of warnings. + error: Optional[Error] + Caught exceptions. + chart: Optional[Chart] + Chart object. + + + OptionsChains + ------------- + expiration : datetime + The expiration date of the contract. + strike : float + The strike price of the contract. + optionType : str + Call or Put. + bid : float + The bid price of the contract. + ask : float + The ask price of the contract. + openInterest : float + The open interest on the contract. + volume : float + The current trading volume on the contract. + + cboe + ==== + + Parameters + ---------- + All fields are standardized. + + + OptionsChains + ------------- + contractSymbol : str + The contract symbol for the option. + dte : int + The days to expiration for the option. + bidSize : int + The bid size for the option. + askSize : int + The ask size for the option. + impliedVolatility : float + The implied volatility of the option. + delta : float + The delta of the option. + gamma : float + The gamma of the option. + theta : float + The theta of the option. + rho : float + The rho of the option. + vega : float + The vega of the option. + theoretical : float + The theoretical value of the option. + open : float + The opening price of the option. + high : float + The high price of the option. + low : float + The low price of the option. + lastTradePrice : float + The last trade price of the option. + tick : str + Whether the last tick was up or down in price. + previousClose : float + The previous closing price of the option. + change : float + The change in price of the option. + changePercent : float + The change, in percent, of the option. + lastTradeTimestamp : datetime + The last trade timestamp of the option.""" inputs = filter_inputs( + provider_choices={ + "provider": provider, + }, + standard_params={ + "symbol": symbol, + }, + extra_params=kwargs, chart=chart, ) @@ -27,22 +135,6 @@ class CLASS_stocks_options(Container): return filter_output(o) - @filter_call - @validate_arguments - def dte( - self, chart: bool = False - ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: - inputs = filter_inputs( - chart=chart, - ) - - o = self._command_runner_session.run( - "/stocks/options/dte", - **inputs, - ).output - - return filter_output(o) - @filter_call @validate_arguments def eodchain( @@ -99,7 +191,7 @@ class CLASS_stocks_options(Container): def hist( self, chart: bool = False ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: - """Plot option history.""" # noqa: E501 + """Get historical data for a single option contract.""" inputs = filter_inputs( chart=chart, ) @@ -167,7 +259,7 @@ class CLASS_stocks_options(Container): def pcr( self, chart: bool = False ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: - """Display put/call ratio for ticker.""" # noqa: E501 + """Display historical rolling put/call ratio for ticker over a defined window.""" inputs = filter_inputs( chart=chart, ) @@ -179,22 +271,6 @@ class CLASS_stocks_options(Container): return filter_output(o) - @filter_call - @validate_arguments - def price( - self, chart: bool = False - ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: - inputs = filter_inputs( - chart=chart, - ) - - o = self._command_runner_session.run( - "/stocks/options/price", - **inputs, - ).output - - return filter_output(o) - @filter_call @validate_arguments def unu( diff --git a/openbb_sdk/sdk/core/openbb_core/app/static/package/ta.py b/openbb_sdk/sdk/core/openbb_core/app/static/package/ta.py index 48e9d9db9d8..b2b02487caf 100644 --- a/openbb_sdk/sdk/core/openbb_core/app/static/package/ta.py +++ b/openbb_sdk/sdk/core/openbb_core/app/static/package/ta.py @@ -1,18 +1,20 @@ ### THIS FILE IS AUTO-GENERATED. DO NOT EDIT. ### -import typing -from typing import List, Literal, Optional, Union - +from openbb_core.app.static.container import Container +from openbb_core.app.model.command_output import CommandOutput import openbb_provider import pandas +import datetime import pydantic -import pydantic.types from pydantic import validate_arguments +from inspect import Parameter +from typing import List, Dict, Union, Optional, Literal +from openbb_core.app.utils import df_to_basemodel +from openbb_core.app.static.filters import filter_call, filter_inputs, filter_output import openbb_core.app.model.results.empty -from openbb_core.app.model.command_output import CommandOutput -from openbb_core.app.static.container import Container -from openbb_core.app.static.filters import filter_call, filter_inputs, filter_output +import pydantic.types +import typing class CLASS_ta(Container): @@ -52,12 +54,12 @@ class CLASS_ta(Container): CommandOutput[List[Data]] List of data with the indicator applied. - Examples - -------- - >>> from openbb import obb - >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") - >>> atr_data = obb.ta.atr(data=stock_data.results) - """ # noqa: E501 + Examples + -------- + >>> from openbb import obb + >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") + >>> atr_data = obb.ta.atr(data=stock_data.results) + """ inputs = filter_inputs( data=data, index=index, @@ -104,12 +106,12 @@ class CLASS_ta(Container): CommandOutput[List[Data]] List of data with the indicator applied. - Examples - -------- - >>> from openbb import obb - >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") - >>> fib_data = obb.ta.fib(data=stock_data.results, period=120) - """ # noqa: E501 + Examples + -------- + >>> from openbb import obb + >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") + >>> fib_data = obb.ta.fib(data=stock_data.results, period=120) + """ inputs = filter_inputs( data=data, index=index, @@ -161,12 +163,12 @@ class CLASS_ta(Container): CommandOutput[List[Data]] List of data with the indicator applied. - Examples - -------- - >>> from openbb import obb - >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") - >>> obv_data = obb.ta.obv(data=stock_data.results, offset=0) - """ # noqa: E501 + Examples + -------- + >>> from openbb import obb + >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") + >>> obv_data = obb.ta.obv(data=stock_data.results, offset=0) + """ inputs = filter_inputs( data=data, index=index, @@ -214,12 +216,12 @@ class CLASS_ta(Container): CommandOutput[List[Data]] List of data with the indicator applied. - Examples - -------- - >>> from openbb import obb - >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") - >>> fisher_data = obb.ta.fisher(data=stock_data.results, length=14, signal=1) - """ # noqa: E501 + Examples + -------- + >>> from openbb import obb + >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") + >>> fisher_data = obb.ta.fisher(data=stock_data.results, length=14, signal=1) + """ inputs = filter_inputs( data=data, index=index, @@ -270,12 +272,12 @@ class CLASS_ta(Container): ------- CommandOutput[List[Data]] - Examples - -------- - >>> from openbb import obb - >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") - >>> adosc_data = obb.ta.adosc(data=stock_data.results, fast=3, slow=10, offset=0) - """ # noqa: E501 + Examples + -------- + >>> from openbb import obb + >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") + >>> adosc_data = obb.ta.adosc(data=stock_data.results, fast=3, slow=10, offset=0) + """ inputs = filter_inputs( data=data, index=index, @@ -297,7 +299,7 @@ class CLASS_ta(Container): def tv( self, chart: bool = False ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: - """TradingView.""" # noqa: E501 + """TradingView.""" inputs = filter_inputs( chart=chart, ) @@ -358,14 +360,14 @@ class CLASS_ta(Container): CommandOutput[List[Data]] The calculated data. - Examples - -------- - >>> from openbb import obb - >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") - >>> bbands = obb.ta.bbands( - >>> data=stock_data.results, target="close", length=50, std=2, mamode="sma", offset=0 - >>> ) - """ # noqa: E501 + Examples + -------- + >>> from openbb import obb + >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") + >>> bbands = obb.ta.bbands( + >>> data=stock_data.results, target="close", length=50, std=2, mamode="sma", offset=0 + >>> ) + """ inputs = filter_inputs( data=data, target=target, @@ -389,7 +391,7 @@ class CLASS_ta(Container): def multi( self, chart: bool = False ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: - """Plot multiple indicators on the same chart.""" # noqa: E501 + """Plot multiple indicators on the same chart.""" inputs = filter_inputs( chart=chart, ) @@ -439,12 +441,12 @@ class CLASS_ta(Container): CommandOutput[List[Data]] The calculated data. - Examples - -------- - >>> from openbb import obb - >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") - >>> zlma_data = obb.ta.zlma(data=stock_data.results, target="close", length=50, offset=0) - """ # noqa: E501 + Examples + -------- + >>> from openbb import obb + >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") + >>> zlma_data = obb.ta.zlma(data=stock_data.results, target="close", length=50, offset=0) + """ inputs = filter_inputs( data=data, target=target, @@ -501,12 +503,12 @@ class CLASS_ta(Container): CommandOutput[List[Data]] The calculated data. - Examples - -------- - >>> from openbb import obb - >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") - >>> aroon_data = obb.ta.aroon(data=stock_data.results, length=25, scalar=100) - """ # noqa: E501 + Examples + -------- + >>> from openbb import obb + >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") + >>> aroon_data = obb.ta.aroon(data=stock_data.results, length=25, scalar=100) + """ inputs = filter_inputs( data=data, index=index, @@ -560,12 +562,12 @@ class CLASS_ta(Container): CommandOutput[List[Data]] The calculated data. - Examples - -------- - >>> from openbb import obb - >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") - >>> sma_data = obb.ta.sma(data=stock_data.results,target="close",length=50,offset=0) - """ # noqa: E501 + Examples + -------- + >>> from openbb import obb + >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") + >>> sma_data = obb.ta.sma(data=stock_data.results,target="close",length=50,offset=0) + """ inputs = filter_inputs( data=data, target=target, @@ -617,12 +619,12 @@ class CLASS_ta(Container): CommandOutput[List[Data]] The calculated data. - Examples - -------- - >>> from openbb import obb - >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") - >>> demark_data = obb.ta.demark(data=stock_data.results,offset=0) - """ # noqa: E501 + Examples + -------- + >>> from openbb import obb + >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") + >>> demark_data = obb.ta.demark(data=stock_data.results,offset=0) + """ inputs = filter_inputs( data=data, index=index, @@ -672,12 +674,12 @@ class CLASS_ta(Container): CommandOutput[List[Data]] The calculated data. - Examples - -------- - >>> from openbb import obb - >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") - >>> vwap_data = obb.ta.vwap(data=stock_data.results,anchor="D",offset=0) - """ # noqa: E501 + Examples + -------- + >>> from openbb import obb + >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") + >>> vwap_data = obb.ta.vwap(data=stock_data.results,anchor="D",offset=0) + """ inputs = filter_inputs( data=data, index=index, @@ -698,7 +700,7 @@ class CLASS_ta(Container): def recom( self, chart: bool = False ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: - """Recommendation.""" # noqa: E501 + """Recommendation.""" inputs = filter_inputs( chart=chart, ) @@ -753,12 +755,12 @@ class CLASS_ta(Container): CommandOutput[List[Data]] The calculated data. - Examples - -------- - >>> from openbb import obb - >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") - >>> macd_data = obb.ta.macd(data=stock_data.results,target="close",fast=12,slow=26,signal=9) - """ # noqa: E501 + Examples + -------- + >>> from openbb import obb + >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") + >>> macd_data = obb.ta.macd(data=stock_data.results,target="close",fast=12,slow=26,signal=9) + """ inputs = filter_inputs( data=data, target=target, @@ -811,12 +813,12 @@ class CLASS_ta(Container): CommandOutput[List[Data]] The calculated data. - Examples - -------- - >>> from openbb import obb - >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") - >>> hma_data = obb.ta.hma(data=stock_data.results,target="close",length=50,offset=0) - """ # noqa: E501 + Examples + -------- + >>> from openbb import obb + >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") + >>> hma_data = obb.ta.hma(data=stock_data.results,target="close",length=50,offset=0) + """ inputs = filter_inputs( data=data, target=target, @@ -870,12 +872,12 @@ class CLASS_ta(Container): CommandOutput[List[Data]] The calculated data. - Examples - -------- - >>> from openbb import obb - >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") - >>> donchian_data = obb.ta.donchian(data=stock_data.results,lower_length=20,upper_length=20,offset=0) - """ # noqa: E501 + Examples + -------- + >>> from openbb import obb + >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") + >>> donchian_data = obb.ta.donchian(data=stock_data.results,lower_length=20,upper_length=20,offset=0) + """ inputs = filter_inputs( data=data, index=index, @@ -911,23 +913,23 @@ class CLASS_ta(Container): trading signals. Ichimoku Kinko Hyo translates into "one look equilibrium chart". With one look, chartists can identify the trend and look for potential signals within that trend. - Parameters - ---------- - data : List[Data] - List of data to be used for the calculation. - index : str, optional - Index column name to use with `data`, by default "date". - conversion : PositiveInt, optional - Number of periods for the conversion line, by default 9. - base : PositiveInt, optional - Number of periods for the base line, by default 26. - lagging : PositiveInt, optional - Number of periods for the lagging span, by default 52. - offset : PositiveInt, optional - Number of periods for the offset, by default 26. - lookahead : bool, optional - drops the Chikou Span Column to prevent potential data leak - """ # noqa: E501 + Parameters + ---------- + data : List[Data] + List of data to be used for the calculation. + index : str, optional + Index column name to use with `data`, by default "date". + conversion : PositiveInt, optional + Number of periods for the conversion line, by default 9. + base : PositiveInt, optional + Number of periods for the base line, by default 26. + lagging : PositiveInt, optional + Number of periods for the lagging span, by default 52. + offset : PositiveInt, optional + Number of periods for the offset, by default 26. + lookahead : bool, optional + drops the Chikou Span Column to prevent potential data leak + """ inputs = filter_inputs( data=data, index=index, @@ -975,12 +977,12 @@ class CLASS_ta(Container): CommandOutput[List[Data]] The calculated data. - Examples - -------- - >>> from openbb import obb - >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") - >>> clenow_data = obb.ta.clenow(data=stock_data.results,period=90) - """ # noqa: E501 + Examples + -------- + >>> from openbb import obb + >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") + >>> clenow_data = obb.ta.clenow(data=stock_data.results,period=90) + """ inputs = filter_inputs( data=data, index=index, @@ -1032,12 +1034,12 @@ class CLASS_ta(Container): ------- CommandOutput[List[Data]] - Examples - -------- - >>> from openbb import obb - >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") - >>> ad_data = obb.ta.ad(data=stock_data.results,offset=0) - """ # noqa: E501 + Examples + -------- + >>> from openbb import obb + >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") + >>> ad_data = obb.ta.ad(data=stock_data.results,offset=0) + """ inputs = filter_inputs( data=data, index=index, @@ -1086,12 +1088,12 @@ class CLASS_ta(Container): CommandOutput[List[Data]] The calculated data. - Examples - -------- - >>> from openbb import obb - >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") - >>> adx_data = obb.ta.adx(data=stock_data.results,length=50,scalar=100.0,drift=1) - """ # noqa: E501 + Examples + -------- + >>> from openbb import obb + >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") + >>> adx_data = obb.ta.adx(data=stock_data.results,length=50,scalar=100.0,drift=1) + """ inputs = filter_inputs( data=data, index=index, @@ -1121,7 +1123,7 @@ class CLASS_ta(Container): ) -> CommandOutput[typing.List]: """ A Weighted Moving Average puts more weight on recent data and less on past data. - This is done by multiplying each bar’s price by a weighting factor. Because of its + This is done by multiplying each bar�s price by a weighting factor. Because of its unique calculation, WMA will follow prices more closely than a corresponding Simple Moving Average. @@ -1143,12 +1145,12 @@ class CLASS_ta(Container): CommandOutput[List[Data]] The WMA data. - Examples - -------- - >>> from openbb import obb - >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") - >>> wma_data = obb.ta.wma(data=stock_data.results, target="close", length=50, offset=0) - """ # noqa: E501 + Examples + -------- + >>> from openbb import obb + >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") + >>> wma_data = obb.ta.wma(data=stock_data.results, target="close", length=50, offset=0) + """ inputs = filter_inputs( data=data, target=target, @@ -1193,11 +1195,11 @@ class CLASS_ta(Container): scalar : PositiveFloat, optional The scalar of the CCI, by default 0.015. - Returns - ------- - CommandOutput[List[Data]] - The CCI data. - """ # noqa: E501 + Returns + ------- + CommandOutput[List[Data]] + The CCI data. + """ inputs = filter_inputs( data=data, index=index, @@ -1252,12 +1254,12 @@ class CLASS_ta(Container): CommandOutput[List[Data]] The RSI data. - Examples - -------- - >>> from openbb import obb - >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") - >>> rsi_data = obb.ta.rsi(data=stock_data.results, target="close", length=14, scalar=100.0, drift=1) - """ # noqa: E501 + Examples + -------- + >>> from openbb import obb + >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") + >>> rsi_data = obb.ta.rsi(data=stock_data.results, target="close", length=14, scalar=100.0, drift=1) + """ inputs = filter_inputs( data=data, target=target, @@ -1280,7 +1282,7 @@ class CLASS_ta(Container): def summary( self, chart: bool = False ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: - """Summary.""" # noqa: E501 + """Summary.""" inputs = filter_inputs( chart=chart, ) @@ -1329,12 +1331,12 @@ class CLASS_ta(Container): CommandOutput[List[Data]] The Stochastic Oscillator data. - Examples - -------- - >>> from openbb import obb - >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") - >>> stoch_data = obb.ta.stoch(data=stock_data.results, fast_k_period=14, slow_d_period=3, slow_k_period=3) - """ # noqa: E501 + Examples + -------- + >>> from openbb import obb + >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") + >>> stoch_data = obb.ta.stoch(data=stock_data.results, fast_k_period=14, slow_d_period=3, slow_k_period=3) + """ inputs = filter_inputs( data=data, index=index, @@ -1356,7 +1358,7 @@ class CLASS_ta(Container): def rsp( self, chart: bool = False ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]: - """Relative Strength Performance.""" # noqa: E501 + """Relative Strength Performance.""" inputs = filter_inputs( chart=chart, ) @@ -1407,12 +1409,12 @@ class CLASS_ta(Container): CommandOutput[List[Data]] The Keltner Channels data. - Examples - -------- - >>> from openbb import obb - >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") - >>> kc_data = obb.ta.kc(data=stock_data.results, length=20, scalar=20, ma_mode="ema", offset=0) - """ # noqa: E501 + Examples + -------- + >>> from openbb import obb + >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") + >>> kc_data = obb.ta.kc(data=stock_data.results, length=20, scalar=20, ma_mode="ema", offset=0) + """ inputs = filter_inputs( data=data, index=index, @@ -1460,12 +1462,12 @@ class CLASS_ta(Container): CommandOutput[List[Data]] The COG data. - Examples - -------- - >>> from openbb import obb - >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") - >>> cg_data = obb.ta.cg(data=stock_data.results, length=14) - """ # noqa: E501 + Examples + -------- + >>> from openbb import obb + >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") + >>> cg_data = obb.ta.cg(data=stock_data.results, length=14) + """ inputs = filter_inputs( data=data, index=index, @@ -1543,12 +1545,12 @@ class CLASS_ta(Container): CommandOutput[List[Data]] The cones data. - Examples - -------- - >>> from openbb import obb - >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") - >>> cones_data = obb.ta.cones(data=stock_data.results, lower_q=0.25, upper_q=0.75, model="STD") - """ # noqa: E501 + Examples + -------- + >>> from openbb import obb + >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") + >>> cones_data = obb.ta.cones(data=stock_data.results, lower_q=0.25, upper_q=0.75, model="STD") + """ inputs = filter_inputs( data=data, index=index, @@ -1611,7 +1613,7 @@ class CLASS_ta(Container): >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp") >>> ema_data = obb.ta.ema(data=stock_data.results,target="close",length=50,offset=0) - """ # noqa: E501 + """ inputs = filter_inputs( data=data, target=target, diff --git a/openbb_sdk/sdk/provider/openbb_provider/standard_models/options_chains.py b/openbb_sdk/sdk/provider/openbb_provider/standard_models/options_chains.py new file mode 100644 index 00000000000..5140c499467 --- /dev/null +++ b/openbb_sdk/sdk/provider/openbb_provider/standard_models/options_chains.py @@ -0,0 +1,25 @@ +"""Options Chains data model.""" + +from datetime import datetime + +from pydantic import Field + +from openbb_provider.abstract.data import Data +from openbb_provider.abstract.query_params import QueryParams +from openbb_provider.models.base import BaseSymbol + + +class OptionsChainsQueryParams(QueryParams, BaseSymbol): + """Options Chains Query Params""" + + +class OptionsChainsData(Data): + """Options Chains Data.""" + + expiration: datetime = Field(description="The expiration date of the contract.") + strike: float = Field(description="The strike price of the contract.") + optionType: str = Field(description="Call or Put.") + bid: float = Field(description="The bid price of the contract.") + ask: float = Field(description="The ask price of the contract.") + openInterest: float = Field(description="The open interest on the contract.") + volume: float = Field(description="The current trading volume on the contract.") diff --git a/openbb_sdk/sdk/provider/openbb_provider/standard_models/stock_info.py b/openbb_sdk/sdk/provider/openbb_provider/standard_models/stock_info.py new file mode 100644 index 00000000000..606d5fb78f5 --- /dev/null +++ b/openbb_sdk/sdk/provider/openbb_provider/standard_models/stock_info.py @@ -0,0 +1,38 @@ +"""Stock Info data model.""" + +from typing import Optional + +from pydantic import Field + +from openbb_provider.abstract.data import Data +from openbb_provider.abstract.query_params import QueryParams +from openbb_provider.models.base import BaseSymbol + + +class StockInfoQueryParams(QueryParams, BaseSymbol): + """Stock Info Query Params""" + + +class StockInfoData(Data): + """Stock Info Data.""" + + symbol: str = Field(description="The ticker symbol.") + name: str = Field(description="The name associated with the ticker symbol.") + price: float = Field(description="The last price of the stock.") + open: Optional[float] = Field(description="The opening price of the stock.") + high: Optional[float] = Field( + description="The high price of the current trading day." + ) + low: Optional[float] = Field( + description="The low price of the current trading day." + ) + close: Optional[float] = Field(description="The closing price of the stock.") + change: Optional[float] = Field( + description="The change in price over the current trading period." + ) + change_percent: Optional[float] = Field( + description="The % change in price over the current trading period." + ) + previous_close: Optional[float] = Field( + description="The previous closing price of the stock." + ) diff --git a/openbb_sdk/sdk/provider/openbb_provider/standard_models/stock_search.py b/openbb_sdk/sdk/provider/openbb_provider/standard_models/stock_search.py new file mode 100644 index 00000000000..f711a3f6bca --- /dev/null +++ b/openbb_sdk/sdk/provider/openbb_provider/standard_models/stock_search.py @@ -0,0 +1,22 @@ +"""Stock Search data model.""" + +from pydantic import Field + +from openbb_provider.abstract.data import Data +from openbb_provider.abstract.query_params import QueryParams + + +class StockSearchQueryParams(QueryParams): + """Company Search Query Params""" + + query: str = Field(description="The search query.", default="") + ticker: bool = Field( + description="Whether to search by ticker symbol.", default=False + ) + + +class StockSearchData(Data): + """Company Search Data.""" + + symbol: str = Field(description="The ticker symbol of the company.") + name: str = Field(description="The name of the company.")