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openbb_platform/providers/README.md

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+# Providers
+
+In this folder you can find the providers that were created or are supported by OpenBB.
+
+## Recommended structure
+
+Every provider is located within a directory, with the following structure:
+
+```{.bash}
+openbb_platform
+└───providers
+    └───<provider_name>
+        |   README.md
+        │   pyproject.toml
+        │   poetry.lock
+        |───tests
+        └───openbb_<provider_name>
+            │   __init__.py
+            |───models
+            |   |───<some model>.py
+            |   └───...
+            └───utils
+                |───<some helper>.py
+                └───...
+```
+
+The models define the data structures that are used to query the provider endpoints and store the response data.
+
+See [CONTRIBUTING file](../CONTRIBUTING.md) for more details

openbb_platform/providers/__init__.py

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+"""OpenBB Platform Providers."""

openbb_platform/providers/wsj/README.md

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+# OpenBB Wall St Journal Provider
+
+This extension integrates the [WSJ](https://wsj.com/) data provider into the OpenBB Platform.
+
+## Installation
+
+To install the extension:
+
+```bash
+pip install openbb-wsj
+```
+
+Documentation available [here](https://docs.openbb.co/platform/developer_guide/contributing).

openbb_platform/providers/wsj/__init__.py

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+"""WSJ provider."""

openbb_platform/providers/wsj/openbb_wsj/__init__.py

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+"""WSJ provider module."""
+
+from openbb_core.provider.abstract.provider import Provider
+from openbb_wsj.models.active import WSJActiveFetcher
+from openbb_wsj.models.gainers import WSJGainersFetcher
+from openbb_wsj.models.losers import WSJLosersFetcher
+
+wsj_provider = Provider(
+    name="wsj",
+    website="https://www.wsj.com",
+    description="""WSJ (Wall Street Journal) is a business-focused, English-language
+international daily newspaper based in New York City. The Journal is published six
+days a week by Dow Jones & Company, a division of News Corp, along with its Asian
+and European editions. The newspaper is published in the broadsheet format and
+online. The Journal has been printed continuously since its inception on
+July 8, 1889, by Charles Dow, Edward Jones, and Charles Bergstresser.
+The WSJ is the largest newspaper in the United States, by circulation.
+    """,
+    fetcher_dict={
+        "ETFGainers": WSJGainersFetcher,
+        "ETFLosers": WSJLosersFetcher,
+        "ETFActive": WSJActiveFetcher,
+    },
+    repr_name="Wall Street Journal (WSJ)",
+)

openbb_platform/providers/wsj/openbb_wsj/models/active.py

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+"""WSJ Asset Performance Active Model."""
+
+# pylint: disable=unused-argument
+
+from datetime import datetime
+from typing import Any, Dict, List, Optional
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.etf_performance import (
+    ETFPerformanceData,
+    ETFPerformanceQueryParams,
+)
+from pydantic import Field, field_validator
+
+
+class WSJActiveQueryParams(ETFPerformanceQueryParams):
+    """WSJ Asset Performance Active Query.
+
+    Source: https://www.wsj.com/market-data/mutualfunds-etfs/etfmovers
+    """
+
+
+class WSJActiveData(ETFPerformanceData):
+    """WSJ Asset Performance Active Data."""
+
+    __alias_dict__ = {
+        "symbol": "ticker",
+        "last_price": "lastPrice",
+        "percent_change": "percentChange",
+        "net_change": "priceChange",
+        "date": "timestamp",
+    }
+
+    country: str = Field(
+        description="Country of the entity.",
+    )
+    mantissa: int = Field(
+        description="Mantissa.",
+    )
+    type: str = Field(
+        description="Type of the entity.",
+    )
+    formatted_price: str = Field(
+        description="Formatted price.",
+    )
+    formatted_volume: str = Field(
+        description="Formatted volume.",
+    )
+    formatted_price_change: str = Field(
+        description="Formatted price change.",
+    )
+    formatted_percent_change: str = Field(
+        description="Formatted percent change.",
+    )
+    url: str = Field(
+        description="The source url.",
+    )
+
+    @field_validator("date", mode="before", check_fields=False)
+    def date_validate(cls, v):  # pylint: disable=E0213
+        """Return the datetime object from the date string."""
+        return datetime.strptime(v[:10], "%Y-%m-%d").date()
+
+
+class WSJActiveFetcher(Fetcher[WSJActiveQueryParams, List[WSJActiveData]]):
+    """Transform the query, extract and transform the data from the WSJ endpoints."""
+
+    @staticmethod
+    def transform_query(params: Dict[str, Any]) -> WSJActiveQueryParams:
+        """Transform query params."""
+        return WSJActiveQueryParams(**params)
+
+    @staticmethod
+    def extract_data(
+        query: WSJActiveQueryParams,
+        credentials: Optional[Dict[str, str]],
+        **kwargs: Any,
+    ) -> List[Dict]:
+        """Get data from WSJ."""
+        # pylint: disable=import-outside-toplevel
+        from openbb_core.provider.utils.helpers import make_request
+
+        url = (
+            "https://www.wsj.com/market-data/mutualfunds-etfs/etfmovers?id=%7B%22application"
+            "%22%3A%22WSJ%22%2C%22etfMover%22%3A%22most_active%22%2C%22count%22%3A25%7D&type="
+            "mdc_etfmovers"
+        )
+        data = make_request(url).json()
+
+        return data["data"]["instruments"]
+
+    @staticmethod
+    def transform_data(
+        query: ETFPerformanceQueryParams,
+        data: List[Dict],
+        **kwargs: Any,
+    ) -> List[WSJActiveData]:
+        """Transform data."""
+        data = data[: query.limit]
+        data = sorted(
+            data,
+            key=lambda x: x["volume"] if query.sort == "asc" else -x["volume"],
+        )
+        return [WSJActiveData.model_validate(d) for d in data]

openbb_platform/providers/wsj/openbb_wsj/models/gainers.py

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+"""WSJ Asset Performance Gainers Model."""
+
+# pylint: disable=unused-argument
+
+from datetime import datetime
+from typing import Any, Dict, List, Optional
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.etf_performance import (
+    ETFPerformanceData,
+    ETFPerformanceQueryParams,
+)
+from pydantic import Field, field_validator
+
+
+class WSJGainersQueryParams(ETFPerformanceQueryParams):
+    """WSJ Asset Performance Gainers Query.
+
+    Source: https://www.wsj.com/market-data/mutualfunds-etfs/etfmovers
+    """
+
+
+class WSJGainersData(ETFPerformanceData):
+    """WSJ Asset Performance Gainers Data."""
+
+    __alias_dict__ = {
+        "symbol": "ticker",
+        "last_price": "lastPrice",
+        "percent_change": "percentChange",
+        "net_change": "priceChange",
+        "date": "timestamp",
+    }
+
+    bluegrass_channel: Optional[str] = Field(
+        description="Bluegrass channel.", default=None
+    )
+    country: str = Field(
+        description="Country of the entity.",
+    )
+    mantissa: int = Field(
+        description="Mantissa.",
+    )
+    type: str = Field(
+        description="Type of the entity.",
+    )
+    formatted_price: str = Field(
+        description="Formatted price.",
+    )
+    formatted_volume: str = Field(
+        description="Formatted volume.",
+    )
+    formatted_price_change: str = Field(
+        description="Formatted price change.",
+    )
+    formatted_percent_change: str = Field(
+        description="Formatted percent change.",
+    )
+    url: str = Field(
+        description="The source url.",
+    )
+
+    @field_validator("date", mode="before", check_fields=False)
+    def date_validate(cls, v):  # pylint: disable=E0213
+        """Return the datetime object from the date string."""
+        return datetime.strptime(v[:10], "%Y-%m-%d").date()
+
+
+class WSJGainersFetcher(Fetcher[WSJGainersQueryParams, List[WSJGainersData]]):
+    """Transform the query, extract and transform the data from the WSJ endpoints."""
+
+    # pylint: disable=unused-argument
+    @staticmethod
+    def transform_query(params: Dict[str, Any]) -> WSJGainersQueryParams:
+        """Transform query params."""
+        return WSJGainersQueryParams(**params)
+
+    @staticmethod
+    def extract_data(
+        query: WSJGainersQueryParams,
+        credentials: Optional[Dict[str, str]],
+        **kwargs: Any,
+    ) -> List[Dict]:
+        """Get data from WSJ."""
+        # pylint: disable=import-outside-toplevel
+        from openbb_core.provider.utils.helpers import make_request
+
+        url = (
+            "https://www.wsj.com/market-data/mutualfunds-etfs/etfmovers?id=%7B%22application"
+            "%22%3A%22WSJ%22%2C%22etfMover%22%3A%22leaders%22%2C%22count%22%3A25%7D&type="
+            "mdc_etfmovers"
+        )
+        data = make_request(url).json()
+
+        return data["data"]["instruments"]
+
+    @staticmethod
+    def transform_data(
+        query: ETFPerformanceQueryParams,
+        data: List[Dict],
+        **kwargs: Any,
+    ) -> List[WSJGainersData]:
+        """Transform data."""
+        data = data[: query.limit]
+        data = sorted(
+            data,
+            key=lambda x: (
+                x["percentChange"] if query.sort == "asc" else -x["percentChange"]
+            ),
+        )
+        return [WSJGainersData.model_validate(d) for d in data]

openbb_platform/providers/wsj/openbb_wsj/models/losers.py

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+"""WSJ Asset Performance Losers Model."""
+
+# pylint: disable=unused-argument
+
+from datetime import datetime
+from typing import Any, Dict, List, Optional
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.etf_performance import (
+    ETFPerformanceData,
+    ETFPerformanceQueryParams,
+)
+from pydantic import Field, field_validator
+
+
+class WSJLosersQueryParams(ETFPerformanceQueryParams):
+    """WSJ Asset Performance Losers Query.
+
+    Source: https://www.wsj.com/market-data/mutualfunds-etfs/etfmovers
+    """
+
+
+class WSJLosersData(ETFPerformanceData):
+    """WSJ Asset Performance Losers Data."""
+
+    __alias_dict__ = {
+        "symbol": "ticker",
+        "last_price": "lastPrice",
+        "percent_change": "percentChange",
+        "net_change": "priceChange",
+        "date": "timestamp",
+    }
+
+    bluegrass_channel: Optional[str] = Field(
+        description="Bluegrass channel.", default=None
+    )
+    country: str = Field(
+        description="Country of the entity.",
+    )
+    mantissa: int = Field(
+        description="Mantissa.",
+    )
+    type: str = Field(
+        description="Type of the entity.",
+    )
+    formatted_price: str = Field(
+        description="Formatted price.",
+    )
+    formatted_volume: str = Field(
+        description="Formatted volume.",
+    )
+    formatted_price_change: str = Field(
+        description="Formatted price change.",
+    )
+    formatted_percent_change: str = Field(
+        description="Formatted percent change.",
+    )
+    url: str = Field(
+        description="The source url.",
+    )
+
+    @field_validator("date", mode="before", check_fields=False)
+    def date_validate(cls, v):  # pylint: disable=E0213
+        """Return the datetime object from the date string."""
+        return datetime.strptime(v[:10], "%Y-%m-%d").date()
+
+
+class WSJLosersFetcher(Fetcher[WSJLosersQueryParams, List[WSJLosersData]]):
+    """Transform the query, extract and transform the data from the WSJ endpoints."""
+
+    @staticmethod
+    def transform_query(params: Dict[str, Any]) -> WSJLosersQueryParams:
+        """Transform query params."""
+        return WSJLosersQueryParams(**params)
+
+    @staticmethod
+    def extract_data(
+        query: WSJLosersQueryParams,
+        credentials: Optional[Dict[str, str]],
+        **kwargs: Any,
+    ) -> List[Dict]:
+        """Get data from WSJ."""
+        # pylint: disable=import-outside-toplevel
+        from openbb_core.provider.utils.helpers import make_request
+
+        url = (
+            "https://www.wsj.com/market-data/mutualfunds-etfs/etfmovers?id=%7B%22application"
+            "%22%3A%22WSJ%22%2C%22etfMover%22%3A%22laggards%22%2C%22count%22%3A25%7D&type="
+            "mdc_etfmovers"
+        )
+        data = make_request(url).json()
+
+        return data["data"]["instruments"]
+
+    @staticmethod
+    def transform_data(
+        query: ETFPerformanceQueryParams,
+        data: List[Dict],
+        **kwargs: Any,
+    ) -> List[WSJLosersData]:
+        """Transform data."""
+        data = data[: query.limit]
+        data = sorted(
+            data,
+            key=lambda x: (
+                x["percentChange"] if query.sort == "desc" else -x["percentChange"]
+            ),
+        )
+        return [WSJLosersData.model_validate(d) for d in data]

openbb_platform/providers/wsj/pyproject.toml

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+[tool.poetry]
+name = "openbb-wsj"
+version = "1.4.1"
+description = "wsj extension for OpenBB"
+authors = ["OpenBB Team <hello@openbb.co>"]
+license = "AGPL-3.0-only"
+readme = "README.md"
+packages = [{ include = "openbb_wsj" }]
+
+[tool.poetry.dependencies]
+python = ">=3.9.21,<3.13"
+openbb-core = "^1.4.6"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
+
+[tool.poetry.plugins."openbb_provider_extension"]
+wsj = "openbb_wsj:wsj_provider"

openbb_platform/providers/wsj/tests/record/http/test_wsj_fetchers/test_wsj_active_fetcher_urllib3_v1.yaml

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+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+    method: GET
+    uri: https://www.wsj.com/market-data/mutualfunds-etfs/etfmovers?id=%7B%22application%22%3A%22WSJ%22%2C%22etfMover%22%3A%22most_active%22%2C%22count%22%3A25%7D&type=mdc_etfmovers
+  response:
+    body:
+      string: !!binary |
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openbb_platform/providers/wsj/tests/test_wsj_fetchers.py

@@ -0,0 +1,52 @@
+"""Tests for the WSJ fetchers."""
+
+import pytest
+from openbb_core.app.service.user_service import UserService
+from openbb_wsj.models.active import WSJActiveFetcher
+from openbb_wsj.models.gainers import WSJGainersFetcher
+from openbb_wsj.models.losers import WSJLosersFetcher
+
+test_credentials = UserService().default_user_settings.credentials.model_dump(
+    mode="json"
+)
+
+
+@pytest.fixture(scope="module")
+def vcr_config():
+    """VCR configuration."""
+    return {
+        "filter_headers": [("User-Agent", None)],
+        "filter_query_parameters": [
+            ("token", "MOCK_TOKEN"),
+        ],
+    }
+
+
+@pytest.mark.record_http
+def test_wsj_gainers_fetcher(credentials=test_credentials):
+    """Test the WSJ Gainers fetcher."""
+    params = {}
+
+    fetcher = WSJGainersFetcher()
+    result = fetcher.test(params, credentials)
+    assert result is None
+
+
+@pytest.mark.record_http
+def test_wsj_losers_fetcher(credentials=test_credentials):
+    """Test the WSJ Losers fetcher."""
+    params = {}
+
+    fetcher = WSJLosersFetcher()
+    result = fetcher.test(params, credentials)
+    assert result is None
+
+
+@pytest.mark.record_http
+def test_wsj_active_fetcher(credentials=test_credentials):
+    """Test the WSJ Active fetcher."""
+    params = {}
+
+    fetcher = WSJActiveFetcher()
+    result = fetcher.test(params, credentials)
+    assert result is None

openbb_platform/providers/yfinance/README.md

@@ -0,0 +1,13 @@
+# OpenBB Yahoo!Finance Provider
+
+This extension integrates the [Yahoo!Finance](https://finance.yahoo.com/) data provider into the OpenBB Platform.
+
+## Installation
+
+To install the extension:
+
+```bash
+pip install openbb-yfinance
+```
+
+Documentation available [here](https://docs.openbb.co/platform/developer_guide/contributing).

openbb_platform/providers/yfinance/__init__.py

@@ -0,0 +1 @@
+"""YFinance provider."""

openbb_platform/providers/yfinance/openbb_yfinance/__init__.py

@@ -0,0 +1,79 @@
+"""Yahoo Finance provider module."""
+
+from openbb_core.provider.abstract.provider import Provider
+from openbb_yfinance.models.active import YFActiveFetcher
+from openbb_yfinance.models.aggressive_small_caps import YFAggressiveSmallCapsFetcher
+from openbb_yfinance.models.available_indices import YFinanceAvailableIndicesFetcher
+from openbb_yfinance.models.balance_sheet import YFinanceBalanceSheetFetcher
+from openbb_yfinance.models.cash_flow import YFinanceCashFlowStatementFetcher
+from openbb_yfinance.models.company_news import YFinanceCompanyNewsFetcher
+from openbb_yfinance.models.crypto_historical import YFinanceCryptoHistoricalFetcher
+from openbb_yfinance.models.currency_historical import YFinanceCurrencyHistoricalFetcher
+from openbb_yfinance.models.equity_historical import YFinanceEquityHistoricalFetcher
+from openbb_yfinance.models.equity_profile import YFinanceEquityProfileFetcher
+from openbb_yfinance.models.equity_quote import YFinanceEquityQuoteFetcher
+from openbb_yfinance.models.equity_screener import YFinanceEquityScreenerFetcher
+from openbb_yfinance.models.etf_info import YFinanceEtfInfoFetcher
+from openbb_yfinance.models.futures_curve import YFinanceFuturesCurveFetcher
+from openbb_yfinance.models.futures_historical import YFinanceFuturesHistoricalFetcher
+from openbb_yfinance.models.gainers import YFGainersFetcher
+from openbb_yfinance.models.growth_tech_equities import YFGrowthTechEquitiesFetcher
+from openbb_yfinance.models.historical_dividends import (
+    YFinanceHistoricalDividendsFetcher,
+)
+from openbb_yfinance.models.income_statement import YFinanceIncomeStatementFetcher
+from openbb_yfinance.models.index_historical import (
+    YFinanceIndexHistoricalFetcher,
+)
+from openbb_yfinance.models.key_executives import YFinanceKeyExecutivesFetcher
+from openbb_yfinance.models.key_metrics import YFinanceKeyMetricsFetcher
+from openbb_yfinance.models.losers import YFLosersFetcher
+from openbb_yfinance.models.options_chains import YFinanceOptionsChainsFetcher
+from openbb_yfinance.models.price_target_consensus import (
+    YFinancePriceTargetConsensusFetcher,
+)
+from openbb_yfinance.models.share_statistics import YFinanceShareStatisticsFetcher
+from openbb_yfinance.models.undervalued_growth_equities import (
+    YFUndervaluedGrowthEquitiesFetcher,
+)
+from openbb_yfinance.models.undervalued_large_caps import YFUndervaluedLargeCapsFetcher
+
+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.""",
+    fetcher_dict={
+        "AvailableIndices": YFinanceAvailableIndicesFetcher,
+        "BalanceSheet": YFinanceBalanceSheetFetcher,
+        "CashFlowStatement": YFinanceCashFlowStatementFetcher,
+        "CompanyNews": YFinanceCompanyNewsFetcher,
+        "CryptoHistorical": YFinanceCryptoHistoricalFetcher,
+        "CurrencyHistorical": YFinanceCurrencyHistoricalFetcher,
+        "EquityActive": YFActiveFetcher,
+        "EquityAggressiveSmallCaps": YFAggressiveSmallCapsFetcher,
+        "EquityGainers": YFGainersFetcher,
+        "EquityHistorical": YFinanceEquityHistoricalFetcher,
+        "EquityInfo": YFinanceEquityProfileFetcher,
+        "EquityLosers": YFLosersFetcher,
+        "EquityQuote": YFinanceEquityQuoteFetcher,
+        "EquityScreener": YFinanceEquityScreenerFetcher,
+        "EquityUndervaluedGrowth": YFUndervaluedGrowthEquitiesFetcher,
+        "EquityUndervaluedLargeCaps": YFUndervaluedLargeCapsFetcher,
+        "EtfHistorical": YFinanceEquityHistoricalFetcher,
+        "EtfInfo": YFinanceEtfInfoFetcher,
+        "FuturesCurve": YFinanceFuturesCurveFetcher,
+        "FuturesHistorical": YFinanceFuturesHistoricalFetcher,
+        "GrowthTechEquities": YFGrowthTechEquitiesFetcher,
+        "HistoricalDividends": YFinanceHistoricalDividendsFetcher,
+        "IncomeStatement": YFinanceIncomeStatementFetcher,
+        "IndexHistorical": YFinanceIndexHistoricalFetcher,
+        "KeyExecutives": YFinanceKeyExecutivesFetcher,
+        "KeyMetrics": YFinanceKeyMetricsFetcher,
+        "OptionsChains": YFinanceOptionsChainsFetcher,
+        "PriceTargetConsensus": YFinancePriceTargetConsensusFetcher,
+        "ShareStatistics": YFinanceShareStatisticsFetcher,
+    },
+    repr_name="Yahoo Finance",
+)

openbb_platform/providers/yfinance/openbb_yfinance/models/__init__.py

@@ -0,0 +1 @@
+"""Yahoo Finance models directory."""

openbb_platform/providers/yfinance/openbb_yfinance/models/active.py

@@ -0,0 +1,90 @@
+"""Yahoo Finance Asset Performance Active Model."""
+
+# pylint: disable=unused-argument
+
+from typing import Any, Optional
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.equity_performance import (
+    EquityPerformanceQueryParams,
+)
+from openbb_yfinance.utils.references import YFPredefinedScreenerData
+from pydantic import Field
+
+
+class YFActiveQueryParams(EquityPerformanceQueryParams):
+    """Yahoo Finance Most Active Query.
+
+    Source: https://finance.yahoo.com/screener/predefined/most_actives
+    """
+
+    limit: Optional[int] = Field(
+        default=200,
+        description="Limit the number of results.",
+    )
+
+
+class YFActiveData(YFPredefinedScreenerData):
+    """Yahoo Finance Most Active Data."""
+
+
+class YFActiveFetcher(Fetcher[YFActiveQueryParams, list[YFActiveData]]):
+    """Transform the query, extract and transform the data from the Yahoo Finance endpoints."""
+
+    @staticmethod
+    def transform_query(params: dict[str, Any]) -> YFActiveQueryParams:
+        """Transform query params."""
+        return YFActiveQueryParams(**params)
+
+    @staticmethod
+    async def aextract_data(
+        query: YFActiveQueryParams,
+        credentials: Optional[dict[str, str]],
+        **kwargs: Any,
+    ) -> list[dict]:
+        """Get data from YF."""
+        # pylint: disable=import-outside-toplevel
+        from openbb_yfinance.utils.helpers import get_custom_screener
+
+        body = {
+            "offset": 0,
+            "size": 250,
+            "sortField": "eodvolume",
+            "sortType": "desc",
+            "quoteType": "equity",
+            "query": {
+                "operator": "and",
+                "operands": [
+                    {"operator": "gt", "operands": ["intradaymarketcap", 2000000000]},
+                    {
+                        "operator": "or",
+                        "operands": [
+                            {"operator": "eq", "operands": ["exchange", "NMS"]},
+                            {"operator": "eq", "operands": ["exchange", "NYQ"]},
+                        ],
+                    },
+                    {"operator": "gt", "operands": ["davolume", 1000000]},
+                    {"operator": "gt", "operands": ["intradayprice", 5]},
+                ],
+            },
+            "userId": "",
+            "userIdType": "guid",
+        }
+
+        return await get_custom_screener(body=body, limit=query.limit)
+
+    @staticmethod
+    def transform_data(
+        query: EquityPerformanceQueryParams,
+        data: list[dict],
+        **kwargs: Any,
+    ) -> list[YFActiveData]:
+        """Transform data."""
+        return [
+            YFActiveData.model_validate(d)
+            for d in sorted(
+                data,
+                key=lambda x: x["regularMarketVolume"],
+                reverse=query.sort == "desc",
+            )
+        ]

openbb_platform/providers/yfinance/openbb_yfinance/models/aggressive_small_caps.py

@@ -0,0 +1,89 @@
+"""Yahoo Finance Aggressive Small Caps Model."""
+
+# pylint: disable=unused-argument
+
+from typing import Any, Optional
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.equity_performance import (
+    EquityPerformanceQueryParams,
+)
+from openbb_yfinance.utils.references import YFPredefinedScreenerData
+from pydantic import Field
+
+
+class YFAggressiveSmallCapsQueryParams(EquityPerformanceQueryParams):
+    """Yahoo Finance Aggressive Small Caps Query.
+
+    Source: https://finance.yahoo.com/screener/predefined/aggressive_small_caps
+    """
+
+    limit: Optional[int] = Field(
+        default=None,
+        description="Limit the number of results. Default is all.",
+    )
+
+
+class YFAggressiveSmallCapsData(YFPredefinedScreenerData):
+    """Yahoo Finance Aggressive Small Caps Data."""
+
+
+class YFAggressiveSmallCapsFetcher(
+    Fetcher[YFAggressiveSmallCapsQueryParams, list[YFAggressiveSmallCapsData]]
+):
+    """Transform the query, extract and transform the data from the Yahoo Finance endpoints."""
+
+    @staticmethod
+    def transform_query(params: dict[str, Any]) -> YFAggressiveSmallCapsQueryParams:
+        """Transform query params."""
+        return YFAggressiveSmallCapsQueryParams(**params)
+
+    @staticmethod
+    async def aextract_data(
+        query: YFAggressiveSmallCapsQueryParams,
+        credentials: Optional[dict[str, str]],
+        **kwargs: Any,
+    ) -> list[dict]:
+        """Get data from YF."""
+        # pylint: disable=import-outside-toplevel
+        from openbb_yfinance.utils.helpers import get_custom_screener
+
+        # The predefined screener doesn't match what yFinance has for the settings. We'll have to create our own.
+        body = {
+            "offset": 0,
+            "size": 250,
+            "sortField": "totalrevenues1yrgrowth.lasttwelvemonths",
+            "sortType": "desc",
+            "quoteType": "equity",
+            "query": {
+                "operator": "and",
+                "operands": [
+                    {"operator": "lt", "operands": ["intradaymarketcap", 2000000000]},
+                    {
+                        "operator": "or",
+                        "operands": [
+                            {"operator": "eq", "operands": ["exchange", "NMS"]},
+                            {"operator": "eq", "operands": ["exchange", "NYQ"]},
+                        ],
+                    },
+                    {"operator": "gt", "operands": ["epsgrowth.lasttwelvemonths", 25]},
+                    {"operator": "gt", "operands": ["intradayprice", 5]},
+                ],
+            },
+            "userId": "",
+            "userIdType": "guid",
+        }
+        return await get_custom_screener(body=body, limit=query.limit)
+
+    @staticmethod
+    def transform_data(
+        query: EquityPerformanceQueryParams,
+        data: list[dict],
+        **kwargs: Any,
+    ) -> list[YFAggressiveSmallCapsData]:
+        """Transform data."""
+        return sorted(
+            [YFAggressiveSmallCapsData.model_validate(d) for d in data],
+            key=lambda x: x.percent_change,
+            reverse=query.sort == "desc",
+        )

openbb_platform/providers/yfinance/openbb_yfinance/models/available_indices.py

@@ -0,0 +1,68 @@
+"""Yahoo Finance Available Indices Model."""
+
+# pylint: disable=unused-argument
+
+from typing import Any, Dict, List, Optional
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.available_indices import (
+    AvailableIndicesData,
+    AvailableIndicesQueryParams,
+)
+from openbb_yfinance.utils.references import INDICES
+from pydantic import Field
+
+
+class YFinanceAvailableIndicesQueryParams(AvailableIndicesQueryParams):
+    """Yahoo Finance Available Indices Query.
+
+    Source: https://finance.yahoo.com/
+    """
+
+
+class YFinanceAvailableIndicesData(AvailableIndicesData):
+    """Yahoo Finance Available Indices Data."""
+
+    __alias_dict__ = {
+        "symbol": "ticker",
+    }
+
+    code: str = Field(
+        description="ID code for keying the index in the OpenBB Terminal."
+    )
+    symbol: str = Field(description="Symbol for the index.")
+
+
+class YFinanceAvailableIndicesFetcher(
+    Fetcher[
+        YFinanceAvailableIndicesQueryParams,
+        List[YFinanceAvailableIndicesData],
+    ]
+):
+    """Transform the query, extract and transform the data from the Yahoo Finance endpoints."""
+
+    @staticmethod
+    def transform_query(params: Dict[str, Any]) -> YFinanceAvailableIndicesQueryParams:
+        """Transform the query params."""
+        return YFinanceAvailableIndicesQueryParams(**params)
+
+    @staticmethod
+    def extract_data(
+        query: YFinanceAvailableIndicesQueryParams,  # pylint disable=unused-argument
+        credentials: Optional[Dict[str, str]],
+        **kwargs: Any,
+    ) -> List[Dict]:
+        """Extract the data."""
+        from pandas import DataFrame  # pylint: disable=import-outside-toplevel
+
+        indices = DataFrame(INDICES).transpose().reset_index()
+        indices.columns = ["code", "name", "ticker"]
+
+        return indices.to_dict("records")
+
+    @staticmethod
+    def transform_data(
+        query: YFinanceAvailableIndicesQueryParams, data: List[Dict], **kwargs: Any
+    ) -> List[YFinanceAvailableIndicesData]:
+        """Return the transformed data."""
+        return [YFinanceAvailableIndicesData.model_validate(d) for d in data]

openbb_platform/providers/yfinance/openbb_yfinance/models/balance_sheet.py

@@ -0,0 +1,124 @@
+"""Yahoo Finance Balance Sheet Model."""
+
+# pylint: disable=unused-argument
+
+from datetime import datetime
+from typing import Any, Literal, Optional
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.balance_sheet import (
+    BalanceSheetData,
+    BalanceSheetQueryParams,
+)
+from openbb_core.provider.utils.descriptions import QUERY_DESCRIPTIONS
+from pydantic import Field, field_validator
+
+
+class YFinanceBalanceSheetQueryParams(BalanceSheetQueryParams):
+    """Yahoo Finance Balance Sheet Query.
+
+    Source: https://finance.yahoo.com/
+    """
+
+    __json_schema_extra__ = {
+        "period": {
+            "choices": ["annual", "quarter"],
+        }
+    }
+
+    period: Literal["annual", "quarter"] = Field(
+        default="annual",
+        description=QUERY_DESCRIPTIONS.get("period", ""),
+    )
+    limit: Optional[int] = Field(
+        default=5,
+        description=QUERY_DESCRIPTIONS.get("limit", ""),
+        le=5,
+    )
+
+
+class YFinanceBalanceSheetData(BalanceSheetData):
+    """Yahoo Finance Balance Sheet Data."""
+
+    __alias_dict__ = {
+        "short_term_investments": "other_short_term_investments",
+        "net_receivables": "receivables",
+        "inventories": "inventory",
+        "total_current_assets": "current_assets",
+        "plant_property_equipment_gross": "gross_ppe",
+        "plant_property_equipment_net": "net_ppe",
+        "total_common_equity": "stockholders_equity",
+        "total_equity_non_controlling_interests": "total_equity_gross_minority_interest",
+    }
+
+    @field_validator("period_ending", mode="before", check_fields=False)
+    @classmethod
+    def date_validate(cls, v):  # pylint: disable=E0213
+        """Return datetime object from string."""
+        if isinstance(v, str):
+            return datetime.strptime(v, "%Y-%m-%d %H:%M:%S").date()
+        return v
+
+
+class YFinanceBalanceSheetFetcher(
+    Fetcher[
+        YFinanceBalanceSheetQueryParams,
+        list[YFinanceBalanceSheetData],
+    ]
+):
+    """Yahoo Finance Balance Sheet Fetcher."""
+
+    @staticmethod
+    def transform_query(params: dict[str, Any]) -> YFinanceBalanceSheetQueryParams:
+        """Transform the query parameters."""
+        return YFinanceBalanceSheetQueryParams(**params)
+
+    @staticmethod
+    def extract_data(
+        query: YFinanceBalanceSheetQueryParams,
+        credentials: Optional[dict[str, str]],
+        **kwargs: Any,
+    ) -> list[dict]:
+        """Extract the data from the Yahoo Finance endpoints."""
+        # pylint: disable=import-outside-toplevel
+        import json  # noqa
+        from curl_adapter import CurlCffiAdapter
+        from numpy import nan
+        from openbb_core.provider.utils.errors import EmptyDataError
+        from openbb_core.provider.utils.helpers import (
+            get_requests_session,
+            to_snake_case,
+        )
+        from yfinance import Ticker
+
+        period = "yearly" if query.period == "annual" else "quarterly"  # type: ignore
+        session = get_requests_session()
+        session.mount("https://", CurlCffiAdapter())
+        session.mount("http://", CurlCffiAdapter())
+        data = Ticker(
+            query.symbol,
+            session=session,
+        ).get_balance_sheet(as_dict=False, pretty=False, freq=period)
+
+        if data is None:
+            raise EmptyDataError()
+
+        if query.limit:
+            data = data.iloc[:, : query.limit]
+
+        data.index = [to_snake_case(i) for i in data.index]
+        data = data.reset_index().sort_index(ascending=False).set_index("index")
+        data = data.replace({nan: None}).to_dict()
+        data = [{"period_ending": str(key), **value} for key, value in data.items()]
+        data = json.loads(json.dumps(data))
+
+        return data
+
+    @staticmethod
+    def transform_data(
+        query: YFinanceBalanceSheetQueryParams,
+        data: list[dict],
+        **kwargs: Any,
+    ) -> list[YFinanceBalanceSheetData]:
+        """Transform the data."""
+        return [YFinanceBalanceSheetData.model_validate(d) for d in data]

openbb_platform/providers/yfinance/openbb_yfinance/models/cash_flow.py

@@ -0,0 +1,123 @@
+"""Yahoo Finance Cash Flow Statement Model."""
+
+# pylint: disable=unused-argument
+
+from datetime import datetime
+from typing import Any, Literal, Optional
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.cash_flow import (
+    CashFlowStatementData,
+    CashFlowStatementQueryParams,
+)
+from openbb_core.provider.utils.descriptions import QUERY_DESCRIPTIONS
+from pydantic import Field, field_validator
+
+
+class YFinanceCashFlowStatementQueryParams(CashFlowStatementQueryParams):
+    """Yahoo Finance Cash Flow Statement Query.
+
+    Source: https://finance.yahoo.com/
+    """
+
+    __json_schema_extra__ = {
+        "period": {
+            "choices": ["annual", "quarter"],
+        }
+    }
+
+    period: Literal["annual", "quarter"] = Field(
+        default="annual",
+        description=QUERY_DESCRIPTIONS.get("period", ""),
+    )
+    limit: Optional[int] = Field(
+        default=5,
+        description=QUERY_DESCRIPTIONS.get("limit", ""),
+        le=5,
+    )
+
+
+class YFinanceCashFlowStatementData(CashFlowStatementData):
+    """Yahoo Finance Cash Flow Statement Data."""
+
+    __alias_dict__ = {
+        "investments_in_property_plant_and_equipment": "purchase_of_ppe",
+        "issuance_of_common_equity": "common_stock_issuance",
+        "repurchase_of_common_equity": "common_stock_payments",
+        "cash_dividends_paid": "payment_of_dividends",
+        "net_change_in_cash_and_equivalents": "changes_in_cash",
+    }
+
+    @field_validator("period_ending", mode="before", check_fields=False)
+    @classmethod
+    def date_validate(cls, v):
+        """Return datetime object from string."""
+        if isinstance(v, str):
+            return datetime.strptime(v, "%Y-%m-%d %H:%M:%S").date()
+        return v
+
+
+class YFinanceCashFlowStatementFetcher(
+    Fetcher[
+        YFinanceCashFlowStatementQueryParams,
+        list[YFinanceCashFlowStatementData],
+    ]
+):
+    """Yahoo Finance Cash Flow Statement Fetcher."""
+
+    @staticmethod
+    def transform_query(params: dict[str, Any]) -> YFinanceCashFlowStatementQueryParams:
+        """Transform the query parameters."""
+        return YFinanceCashFlowStatementQueryParams(**params)
+
+    @staticmethod
+    def extract_data(
+        query: YFinanceCashFlowStatementQueryParams,
+        credentials: Optional[dict[str, str]],
+        **kwargs: Any,
+    ) -> list[YFinanceCashFlowStatementData]:
+        """Extract the data from the Yahoo Finance endpoints."""
+        # pylint: disable=import-outside-toplevel
+        import json  # noqa
+        from curl_adapter import CurlCffiAdapter
+        from numpy import nan
+        from openbb_core.provider.utils.errors import EmptyDataError
+        from openbb_core.provider.utils.helpers import (
+            get_requests_session,
+            to_snake_case,
+        )
+        from yfinance import Ticker
+
+        period = "yearly" if query.period == "annual" else "quarterly"  # type: ignore
+        session = get_requests_session()
+        session.mount("https://", CurlCffiAdapter())
+        session.mount("http://", CurlCffiAdapter())
+
+        data = Ticker(
+            query.symbol,
+            session=session,
+        ).get_cash_flow(as_dict=False, pretty=False, freq=period)
+
+        if data is None:
+            raise EmptyDataError()
+
+        if query.limit:
+            data = data.iloc[:, : query.limit]
+
+        data.index = [to_snake_case(i) for i in data.index]
+        data = data.reset_index().sort_index(ascending=False).set_index("index")
+        data = data.replace({nan: None}).to_dict()
+        data = [{"period_ending": str(key), **value} for key, value in data.items()]
+
+        data = json.loads(json.dumps(data))
+
+        return data
+
+    @staticmethod
+    def transform_data(
+        query: YFinanceCashFlowStatementQueryParams,
+        data: list[dict],
+        **kwargs: Any,
+    ) -> list[YFinanceCashFlowStatementData]:
+        """Transform the data."""
+        return [YFinanceCashFlowStatementData.model_validate(d) for d in data]

openbb_platform/providers/yfinance/openbb_yfinance/models/company_news.py

@@ -0,0 +1,119 @@
+"""Yahoo Finance Company News Model."""
+
+# pylint: disable=unused-argument
+
+from typing import Any, Optional
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.company_news import (
+    CompanyNewsData,
+    CompanyNewsQueryParams,
+)
+from pydantic import Field, field_validator
+
+
+class YFinanceCompanyNewsQueryParams(CompanyNewsQueryParams):
+    """YFinance Company News Query.
+
+    Source: https://finance.yahoo.com/news/
+    """
+
+    __json_schema_extra__ = {"symbol": {"multiple_items_allowed": True}}
+
+    @field_validator("symbol", mode="before", check_fields=False)
+    @classmethod
+    def _symbol_mandatory(cls, v):
+        """Symbol mandatory validator."""
+        if not v:
+            raise ValueError("Required field missing -> symbol")
+        return v
+
+
+class YFinanceCompanyNewsData(CompanyNewsData):
+    """YFinance Company News Data."""
+
+    source: Optional[str] = Field(
+        default=None, description="Source of the news article"
+    )
+
+
+class YFinanceCompanyNewsFetcher(
+    Fetcher[
+        YFinanceCompanyNewsQueryParams,
+        list[YFinanceCompanyNewsData],
+    ]
+):
+    """Transform the query, extract and transform the data from the Yahoo Finance endpoints."""
+
+    @staticmethod
+    def transform_query(params: dict[str, Any]) -> YFinanceCompanyNewsQueryParams:
+        """Transform query params."""
+        return YFinanceCompanyNewsQueryParams(**params)
+
+    @staticmethod
+    async def aextract_data(
+        query: YFinanceCompanyNewsQueryParams,
+        credentials: Optional[dict[str, str]],
+        **kwargs: Any,
+    ) -> list[dict]:
+        """Extract data."""
+        # pylint: disable=import-outside-toplevel
+        import asyncio  # noqa
+        from curl_adapter import CurlCffiAdapter
+        from openbb_core.provider.utils.errors import EmptyDataError
+        from openbb_core.provider.utils.helpers import get_requests_session
+        from yfinance import Ticker
+
+        results: list = []
+        symbols = query.symbol.split(",")  # type: ignore
+        session = get_requests_session()
+        session.mount("https://", CurlCffiAdapter())
+        session.mount("http://", CurlCffiAdapter())
+
+        async def get_one(symbol):
+            data = Ticker(symbol, session=session).get_news(
+                count=query.limit,
+                tab="all",
+            )
+            for d in data:
+                new_content: dict = {}
+                content = d.get("content")
+                if not content:
+                    continue
+                if thumbnail := content.get("thumbnail"):
+                    images = thumbnail.get("resolutions")
+                    if images:
+                        new_content["images"] = [
+                            {k: str(v) for k, v in img.items()} for img in images
+                        ]
+                new_content["url"] = content.get("canonicalUrl", {}).get("url")
+                new_content["source"] = content.get("provider", {}).get("displayName")
+                new_content["title"] = content.get("title")
+                new_content["date"] = content.get("pubDate")
+                description = content.get("description")
+                summary = content.get("summary")
+
+                if description:
+                    new_content["text"] = description
+                elif summary:
+                    new_content["text"] = summary
+
+                results.append(new_content)
+
+        tasks = [get_one(symbol) for symbol in symbols]
+
+        await asyncio.gather(*tasks)
+
+        if not results:
+            raise EmptyDataError("No data was returned for the given symbol(s)")
+
+        return results
+
+    @staticmethod
+    def transform_data(
+        query: YFinanceCompanyNewsQueryParams,
+        data: list[dict],
+        **kwargs: Any,
+    ) -> list[YFinanceCompanyNewsData]:
+        """Transform data."""
+        return [YFinanceCompanyNewsData.model_validate(d) for d in data]

openbb_platform/providers/yfinance/openbb_yfinance/models/crypto_historical.py

@@ -0,0 +1,137 @@
+"""Yahoo Finance Crypto Historical Price Model."""
+
+# pylint: disable=unused-argument
+
+from datetime import datetime
+from typing import Any, Dict, List, Literal, Optional
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.crypto_historical import (
+    CryptoHistoricalData,
+    CryptoHistoricalQueryParams,
+)
+from openbb_core.provider.utils.descriptions import QUERY_DESCRIPTIONS
+from openbb_core.provider.utils.errors import EmptyDataError
+from openbb_yfinance.utils.references import INTERVALS_DICT
+from pydantic import Field
+
+
+class YFinanceCryptoHistoricalQueryParams(CryptoHistoricalQueryParams):
+    """Yahoo Finance Crypto Historical Price Query.
+
+    Source: https://finance.yahoo.com/crypto/
+    """
+
+    __json_schema_extra__ = {
+        "symbol": {"multiple_items_allowed": True},
+        "interval": {
+            "choices": [
+                "1m",
+                "2m",
+                "5m",
+                "15m",
+                "30m",
+                "60m",
+                "90m",
+                "1h",
+                "1d",
+                "5d",
+                "1W",
+                "1M",
+                "1Q",
+            ]
+        },
+    }
+
+    interval: Literal[
+        "1m",
+        "2m",
+        "5m",
+        "15m",
+        "30m",
+        "60m",
+        "90m",
+        "1h",
+        "1d",
+        "5d",
+        "1W",
+        "1M",
+        "1Q",
+    ] = Field(
+        default="1d",
+        description=QUERY_DESCRIPTIONS.get("interval", ""),
+    )
+
+
+class YFinanceCryptoHistoricalData(CryptoHistoricalData):
+    """Yahoo Finance Crypto Historical Price Data."""
+
+
+class YFinanceCryptoHistoricalFetcher(
+    Fetcher[
+        YFinanceCryptoHistoricalQueryParams,
+        List[YFinanceCryptoHistoricalData],
+    ]
+):
+    """Transform the query, extract and transform the data from the Yahoo Finance endpoints."""
+
+    @staticmethod
+    def transform_query(params: Dict[str, Any]) -> YFinanceCryptoHistoricalQueryParams:
+        """Transform the query."""
+        # pylint: disable=import-outside-toplevel
+        from dateutil.relativedelta import relativedelta
+
+        transformed_params = params
+        now = datetime.now().date()
+
+        if params.get("start_date") is None:
+            transformed_params["start_date"] = now - relativedelta(years=1)
+
+        if params.get("end_date") is None:
+            transformed_params["end_date"] = now
+
+        return YFinanceCryptoHistoricalQueryParams(**transformed_params)
+
+    @staticmethod
+    def extract_data(
+        query: YFinanceCryptoHistoricalQueryParams,
+        credentials: Optional[Dict[str, str]],
+        **kwargs: Any,
+    ) -> List[Dict]:
+        """Return the raw data from the Yahoo Finance endpoint."""
+        # pylint: disable=import-outside-toplevel
+        from openbb_yfinance.utils.helpers import yf_download
+
+        tickers = query.symbol.split(",")
+        new_tickers = []
+        for ticker in tickers:
+            new_ticker = (
+                ticker[:-3] + "-" + ticker[-3:] if "-" not in ticker else ticker
+            )
+            new_tickers.append(new_ticker)
+
+        symbols = ",".join(new_tickers)
+
+        data = yf_download(
+            symbols,
+            start_date=query.start_date,
+            end_date=query.end_date,
+            interval=INTERVALS_DICT.get(query.interval, "1d"),  # type: ignore
+            auto_adjust=False,
+            actions=False,
+            prepost=True,
+        )
+
+        if data.empty:
+            raise EmptyDataError()
+
+        return data.to_dict("records")
+
+    @staticmethod
+    def transform_data(
+        query: YFinanceCryptoHistoricalQueryParams,
+        data: List[Dict],
+        **kwargs: Any,
+    ) -> List[YFinanceCryptoHistoricalData]:
+        """Transform the data to the standard format."""
+        return [YFinanceCryptoHistoricalData.model_validate(d) for d in data]

openbb_platform/providers/yfinance/openbb_yfinance/models/currency_historical.py

@@ -0,0 +1,135 @@
+"""Yahoo Finance Currency Price Model."""
+
+# pylint: disable=unused-argument
+
+from datetime import datetime
+from typing import Any, Dict, List, Literal, Optional
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.currency_historical import (
+    CurrencyHistoricalData,
+    CurrencyHistoricalQueryParams,
+)
+from openbb_core.provider.utils.descriptions import QUERY_DESCRIPTIONS
+from openbb_core.provider.utils.errors import EmptyDataError
+from openbb_yfinance.utils.references import INTERVALS_DICT
+from pydantic import Field
+
+
+class YFinanceCurrencyHistoricalQueryParams(CurrencyHistoricalQueryParams):
+    """Yahoo Finance Currency Price Query.
+
+    Source: https://finance.yahoo.com/currencies/
+    """
+
+    __json_schema_extra__ = {
+        "symbol": {"multiple_items_allowed": True},
+        "interval": {
+            "choices": [
+                "1m",
+                "2m",
+                "5m",
+                "15m",
+                "30m",
+                "60m",
+                "90m",
+                "1h",
+                "1d",
+                "5d",
+                "1W",
+                "1M",
+                "1Q",
+            ]
+        },
+    }
+
+    interval: Literal[
+        "1m",
+        "2m",
+        "5m",
+        "15m",
+        "30m",
+        "60m",
+        "90m",
+        "1h",
+        "1d",
+        "5d",
+        "1W",
+        "1M",
+        "1Q",
+    ] = Field(
+        default="1d",
+        description=QUERY_DESCRIPTIONS.get("interval", ""),
+    )
+
+
+class YFinanceCurrencyHistoricalData(CurrencyHistoricalData):
+    """Yahoo Finance Currency Price Data."""
+
+
+class YFinanceCurrencyHistoricalFetcher(
+    Fetcher[
+        YFinanceCurrencyHistoricalQueryParams,
+        List[YFinanceCurrencyHistoricalData],
+    ]
+):
+    """Transform the query, extract and transform the data from the Yahoo Finance endpoints."""
+
+    @staticmethod
+    def transform_query(
+        params: Dict[str, Any]
+    ) -> YFinanceCurrencyHistoricalQueryParams:
+        """Transform the query."""
+        # pylint: disable=import-outside-toplevel
+        from dateutil.relativedelta import relativedelta
+
+        transformed_params = params
+        symbols = params["symbol"].split(",")
+        new_symbols = [
+            f"{s.upper()}=X" if "=X" not in s.upper() else s.upper() for s in symbols
+        ]
+        transformed_params["symbol"] = ",".join(new_symbols)
+
+        now = datetime.now().date()
+
+        if params.get("start_date") is None:
+            transformed_params["start_date"] = now - relativedelta(years=1)
+
+        if params.get("end_date") is None:
+            transformed_params["end_date"] = now
+
+        return YFinanceCurrencyHistoricalQueryParams(**transformed_params)
+
+    @staticmethod
+    def extract_data(
+        query: YFinanceCurrencyHistoricalQueryParams,
+        credentials: Optional[Dict[str, str]],
+        **kwargs: Any,
+    ) -> List[Dict]:
+        """Return the raw data from the Yahoo Finance endpoint."""
+        # pylint: disable=import-outside-toplevel
+        from openbb_yfinance.utils.helpers import yf_download
+
+        data = yf_download(
+            query.symbol,
+            start_date=query.start_date,
+            end_date=query.end_date,
+            interval=INTERVALS_DICT.get(query.interval, "1d"),  # type: ignore
+            auto_adjust=False,
+            actions=False,
+            prepost=True,
+        )
+
+        if data.empty:
+            raise EmptyDataError()
+
+        return data.to_dict("records")
+
+    @staticmethod
+    def transform_data(
+        query: YFinanceCurrencyHistoricalQueryParams,
+        data: List[Dict],
+        **kwargs: Any,
+    ) -> List[YFinanceCurrencyHistoricalData]:
+        """Transform the data to the standard format."""
+        return [YFinanceCurrencyHistoricalData.model_validate(d) for d in data]

openbb_platform/providers/yfinance/openbb_yfinance/models/equity_historical.py

@@ -0,0 +1,193 @@
+"""Yahoo Finance Equity Historical Price Model."""
+
+# pylint: disable=unused-argument
+
+from datetime import datetime
+from typing import TYPE_CHECKING, Any, Dict, List, Literal, Optional
+from warnings import warn
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.equity_historical import (
+    EquityHistoricalData,
+    EquityHistoricalQueryParams,
+)
+from openbb_core.provider.utils.descriptions import QUERY_DESCRIPTIONS
+from openbb_core.provider.utils.errors import EmptyDataError
+from openbb_yfinance.utils.references import INTERVALS_DICT, PERIODS
+from pydantic import Field, PrivateAttr
+
+if TYPE_CHECKING:
+    from pandas import DataFrame
+
+
+class YFinanceEquityHistoricalQueryParams(EquityHistoricalQueryParams):
+    """Yahoo Finance Equity Historical Price Query.
+
+    Source: https://finance.yahoo.com/
+    """
+
+    __json_schema_extra__ = {
+        "symbol": {"multiple_items_allowed": True},
+        "interval": {
+            "choices": [
+                "1m",
+                "2m",
+                "5m",
+                "15m",
+                "30m",
+                "60m",
+                "90m",
+                "1h",
+                "1d",
+                "5d",
+                "1W",
+                "1M",
+                "1Q",
+            ]
+        },
+    }
+
+    interval: Literal[
+        "1m",
+        "2m",
+        "5m",
+        "15m",
+        "30m",
+        "60m",
+        "90m",
+        "1h",
+        "1d",
+        "5d",
+        "1W",
+        "1M",
+        "1Q",
+    ] = Field(
+        default="1d",
+        description=QUERY_DESCRIPTIONS.get("interval", ""),
+    )
+    extended_hours: bool = Field(
+        default=False,
+        description="Include Pre and Post market data.",
+    )
+    include_actions: bool = Field(
+        default=True,
+        description="Include dividends and stock splits in results.",
+    )
+    adjustment: Literal["splits_only", "splits_and_dividends"] = Field(
+        default="splits_only",
+        description="The adjustment factor to apply. Default is splits only.",
+    )
+
+    _ignore_tz: bool = PrivateAttr(default=True)
+    _progress: bool = PrivateAttr(default=False)
+    _keepna: bool = PrivateAttr(default=False)
+    _period: PERIODS = PrivateAttr(default="max")
+    _rounding: bool = PrivateAttr(default=False)
+    _repair: bool = PrivateAttr(default=False)
+    _group_by: Literal["ticker", "column"] = PrivateAttr(default="ticker")
+
+
+class YFinanceEquityHistoricalData(EquityHistoricalData):
+    """Yahoo Finance Equity Historical Price Data."""
+
+    __alias_dict__ = {
+        "split_ratio": "stock_splits",
+        "dividend": "dividends",
+    }
+
+    split_ratio: Optional[float] = Field(
+        default=None,
+        description="Ratio of the equity split, if a split occurred.",
+    )
+    dividend: Optional[float] = Field(
+        default=None,
+        description="Dividend amount (split-adjusted), if a dividend was paid.",
+    )
+
+
+class YFinanceEquityHistoricalFetcher(
+    Fetcher[
+        YFinanceEquityHistoricalQueryParams,
+        List[YFinanceEquityHistoricalData],
+    ]
+):
+    """Transform the query, extract and transform the data from the Yahoo Finance endpoints."""
+
+    @staticmethod
+    def transform_query(params: Dict[str, Any]) -> YFinanceEquityHistoricalQueryParams:
+        """Transform the query."""
+        # pylint: disable=import-outside-toplevel
+        from dateutil.relativedelta import relativedelta
+
+        transformed_params = params
+        now = datetime.now().date()
+
+        if params.get("start_date") is None:
+            transformed_params["start_date"] = now - relativedelta(years=1)
+
+        if params.get("end_date") is None:
+            transformed_params["end_date"] = now
+
+        return YFinanceEquityHistoricalQueryParams(**params)
+
+    @staticmethod
+    def extract_data(
+        query: YFinanceEquityHistoricalQueryParams,
+        credentials: Optional[Dict[str, str]],
+        **kwargs: Any,
+    ) -> "DataFrame":
+        """Return the raw data from the Yahoo Finance endpoint."""
+        # pylint: disable=import-outside-toplevel
+        from openbb_yfinance.utils.helpers import yf_download
+
+        adjusted = query.adjustment == "splits_and_dividends"
+        kwargs = {"auto_adjust": True, "back_adjust": True} if adjusted is True else {}
+        # pylint: disable=protected-access
+        data = yf_download(
+            symbol=query.symbol,
+            start_date=query.start_date,
+            end_date=query.end_date,
+            interval=INTERVALS_DICT[query.interval],  # type: ignore
+            period=query._period,
+            prepost=query.extended_hours,
+            actions=query.include_actions,
+            progress=query._progress,
+            ignore_tz=query._ignore_tz,
+            keepna=query._keepna,
+            repair=query._repair,
+            rounding=query._rounding,
+            group_by=query._group_by,
+            adjusted=adjusted,
+            **kwargs,
+        )
+
+        if data.empty:
+            raise EmptyDataError()
+
+        return data
+
+    @staticmethod
+    def transform_data(
+        query: YFinanceEquityHistoricalQueryParams,
+        data: "DataFrame",
+        **kwargs: Any,
+    ) -> List[YFinanceEquityHistoricalData]:
+        """Transform the data to the standard format."""
+        if "capital_gains" in data.columns:
+            data = (
+                data.drop(columns=["capital_gains"])
+                if query.include_actions is False
+                else data
+            )
+        query_symbols = query.symbol.upper().split(",")
+
+        if len(query_symbols) > 1:
+            symbols = data.symbol.unique().tolist()
+            for symbol in query_symbols:
+                if symbol not in symbols:
+                    warn(f"Data for '{symbol}' was not found.")
+
+        return [
+            YFinanceEquityHistoricalData.model_validate(d)
+            for d in data.to_dict("records")
+        ]

openbb_platform/providers/yfinance/openbb_yfinance/models/equity_profile.py

@@ -0,0 +1,211 @@
+"""YFinance Equity Profile Model."""
+
+# pylint: disable=unused-argument
+
+from typing import Any, Dict, List, Optional
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.equity_info import (
+    EquityInfoData,
+    EquityInfoQueryParams,
+)
+from pydantic import Field, field_validator
+
+
+class YFinanceEquityProfileQueryParams(EquityInfoQueryParams):
+    """YFinance Equity Profile Query."""
+
+    __json_schema_extra__ = {"symbol": {"multiple_items_allowed": True}}
+
+
+class YFinanceEquityProfileData(EquityInfoData):
+    """YFinance Equity Profile Data."""
+
+    __alias_dict__ = {
+        "name": "longName",
+        "issue_type": "quoteType",
+        "stock_exchange": "exchange",
+        "first_stock_price_date": "firstTradeDateEpochUtc",
+        "exchange_timezone": "timeZoneFullName",
+        "industry_category": "industry",
+        "hq_country": "country",
+        "hq_address1": "address1",
+        "hq_address_city": "city",
+        "hq_address_postal_code": "zip",
+        "hq_state": "state",
+        "business_phone_no": "phone",
+        "company_url": "website",
+        "long_description": "longBusinessSummary",
+        "employees": "fullTimeEmployees",
+        "market_cap": "marketCap",
+        "shares_outstanding": "sharesOutstanding",
+        "shares_float": "floatShares",
+        "shares_implied_outstanding": "impliedSharesOutstanding",
+        "shares_short": "sharesShort",
+        "dividend_yield": "yield",
+    }
+
+    exchange_timezone: Optional[str] = Field(
+        description="The timezone of the exchange.",
+        default=None,
+    )
+    issue_type: Optional[str] = Field(
+        description="The issuance type of the asset.",
+        default=None,
+    )
+    currency: Optional[str] = Field(
+        description="The currency in which the asset is traded.", default=None
+    )
+    market_cap: Optional[int] = Field(
+        description="The market capitalization of the asset.",
+        default=None,
+    )
+    shares_outstanding: Optional[int] = Field(
+        description="The number of listed shares outstanding.",
+        default=None,
+    )
+    shares_float: Optional[int] = Field(
+        description="The number of shares in the public float.",
+        default=None,
+    )
+    shares_implied_outstanding: Optional[int] = Field(
+        description=(
+            "Implied shares outstanding of common equity"
+            "assuming the conversion of all convertible subsidiary equity into common."
+        ),
+        default=None,
+    )
+    shares_short: Optional[int] = Field(
+        description="The reported number of shares short.",
+        default=None,
+    )
+    dividend_yield: Optional[float] = Field(
+        description="The dividend yield of the asset, as a normalized percent.",
+        default=None,
+        json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
+    )
+    beta: Optional[float] = Field(
+        description="The beta of the asset relative to the broad market.",
+        default=None,
+    )
+
+    @field_validator("first_stock_price_date", mode="before", check_fields=False)
+    @classmethod
+    def validate_first_trade_date(cls, v):
+        """Validate first stock price date."""
+        # pylint: disable=import-outside-toplevel
+        from datetime import timezone  # noqa
+        from openbb_core.provider.utils.helpers import safe_fromtimestamp  # noqa
+
+        return safe_fromtimestamp(v, tz=timezone.utc).date() if v else None
+
+
+class YFinanceEquityProfileFetcher(
+    Fetcher[YFinanceEquityProfileQueryParams, List[YFinanceEquityProfileData]]
+):
+    """YFinance Equity Profile fetcher."""
+
+    @staticmethod
+    def transform_query(params: Dict[str, Any]) -> YFinanceEquityProfileQueryParams:
+        """Transform the query."""
+        return YFinanceEquityProfileQueryParams(**params)
+
+    @staticmethod
+    async def aextract_data(
+        query: YFinanceEquityProfileQueryParams,
+        credentials: Optional[Dict[str, str]],
+        **kwargs: Any,
+    ) -> List[Dict]:
+        """Extract the raw data from YFinance."""
+        # pylint: disable=import-outside-toplevel
+        import asyncio  # noqa
+        from curl_adapter import CurlCffiAdapter
+        from openbb_core.app.model.abstract.error import OpenBBError
+        from openbb_core.provider.utils.errors import EmptyDataError
+        from openbb_core.provider.utils.helpers import get_requests_session
+        from warnings import warn
+        from yfinance import Ticker
+
+        symbols = query.symbol.split(",")
+        results = []
+        fields = [
+            "symbol",
+            "longName",
+            "exchange",
+            "timeZoneFullName",
+            "quoteType",
+            "firstTradeDateEpochUtc",
+            "currency",
+            "sharesOutstanding",
+            "floatShares",
+            "impliedSharesOutstanding",
+            "sharesShort",
+            "sector",
+            "industry",
+            "address1",
+            "city",
+            "state",
+            "zip",
+            "country",
+            "phone",
+            "website",
+            "fullTimeEmployees",
+            "longBusinessSummary",
+            "marketCap",
+            "yield",
+            "dividendYield",
+            "beta",
+        ]
+        messages: list = []
+        session = get_requests_session()
+        session.mount("https://", CurlCffiAdapter())
+        session.mount("http://", CurlCffiAdapter())
+
+        async def get_one(symbol):
+            """Get the data for one ticker symbol."""
+            result: dict = {}
+            ticker: dict = {}
+            try:
+                ticker = Ticker(
+                    symbol,
+                    session=session,
+                ).get_info()
+            except Exception as e:
+                messages.append(
+                    f"Error getting data for {symbol} -> {e.__class__.__name__}: {e}"
+                )
+            if ticker:
+                for field in fields:
+                    if field in ticker:
+                        result[
+                            field.replace("dividendYield", "dividend_yield").replace(
+                                "issueType", "issue_type"
+                            )
+                        ] = ticker.get(field, None)
+                if result:
+                    results.append(result)
+
+        tasks = [get_one(symbol) for symbol in symbols]
+
+        await asyncio.gather(*tasks)
+
+        if not results and messages:
+            raise OpenBBError("\n".join(messages))
+
+        if not results and not messages:
+            raise EmptyDataError("No data was returned for any symbol")
+
+        if results and messages:
+            for message in messages:
+                warn(message)
+
+        return results
+
+    @staticmethod
+    def transform_data(
+        query: YFinanceEquityProfileQueryParams,
+        data: List[Dict],
+        **kwargs: Any,
+    ) -> List[YFinanceEquityProfileData]:
+        """Transform the data."""
+        return [YFinanceEquityProfileData.model_validate(d) for d in data]

openbb_platform/providers/yfinance/openbb_yfinance/models/equity_quote.py

@@ -0,0 +1,146 @@
+"""YFinance Equity Quote Model."""
+
+# pylint: disable=unused-argument
+
+from typing import Any, Dict, List, Optional
+from warnings import warn
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.equity_quote import (
+    EquityQuoteData,
+    EquityQuoteQueryParams,
+)
+from pydantic import Field
+
+
+class YFinanceEquityQuoteQueryParams(EquityQuoteQueryParams):
+    """YFinance Equity Quote Query."""
+
+    __json_schema_extra__ = {"symbol": {"multiple_items_allowed": True}}
+
+
+class YFinanceEquityQuoteData(EquityQuoteData):
+    """YFinance Equity Quote Data."""
+
+    __alias_dict__ = {
+        "name": "longName",
+        "asset_type": "quoteType",
+        "last_price": "currentPrice",
+        "high": "dayHigh",
+        "low": "dayLow",
+        "prev_close": "previousClose",
+        "year_high": "fiftyTwoWeekHigh",
+        "year_low": "fiftyTwoWeekLow",
+        "ma_50d": "fiftyDayAverage",
+        "ma_200d": "twoHundredDayAverage",
+        "volume_average": "averageVolume",
+        "volume_average_10d": "averageDailyVolume10Day",
+    }
+
+    ma_50d: Optional[float] = Field(
+        default=None,
+        description="50-day moving average price.",
+    )
+    ma_200d: Optional[float] = Field(
+        default=None,
+        description="200-day moving average price.",
+    )
+    volume_average: Optional[float] = Field(
+        default=None,
+        description="Average daily trading volume.",
+    )
+    volume_average_10d: Optional[float] = Field(
+        default=None,
+        description="Average daily trading volume in the last 10 days.",
+    )
+    currency: Optional[str] = Field(
+        default=None,
+        description="Currency of the price.",
+    )
+
+
+class YFinanceEquityQuoteFetcher(
+    Fetcher[YFinanceEquityQuoteQueryParams, List[YFinanceEquityQuoteData]]
+):
+    """YFinance Equity Quote Fetcher."""
+
+    @staticmethod
+    def transform_query(params: Dict[str, Any]) -> YFinanceEquityQuoteQueryParams:
+        """Transform the query."""
+        return YFinanceEquityQuoteQueryParams(**params)
+
+    @staticmethod
+    async def aextract_data(
+        query: YFinanceEquityQuoteQueryParams,
+        credentials: Optional[Dict[str, str]],
+        **kwargs: Any,
+    ) -> List[Dict]:
+        """Extract the raw data from YFinance."""
+        # pylint: disable=import-outside-toplevel
+        import asyncio  # noqa
+        from curl_adapter import CurlCffiAdapter
+        from openbb_core.provider.utils.helpers import get_requests_session
+        from yfinance import Ticker
+
+        session = get_requests_session()
+        session.mount("https://", CurlCffiAdapter())
+        session.mount("http://", CurlCffiAdapter())
+
+        symbols = query.symbol.split(",")
+        results = []
+        fields = [
+            "symbol",
+            "longName",
+            "exchange",
+            "quoteType",
+            "bid",
+            "bidSize",
+            "ask",
+            "askSize",
+            "currentPrice",
+            "open",
+            "dayHigh",
+            "dayLow",
+            "previousClose",
+            "volume",
+            "averageVolume",
+            "averageDailyVolume10Day",
+            "fiftyTwoWeekHigh",
+            "fiftyTwoWeekLow",
+            "fiftyDayAverage",
+            "twoHundredDayAverage",
+            "currency",
+        ]
+
+        async def get_one(symbol):
+            """Get the data for one ticker symbol."""
+            result: dict = {}
+            ticker: dict = {}
+            try:
+                ticker = Ticker(
+                    symbol,
+                    session=session,
+                ).get_info()
+            except Exception as e:
+                warn(f"Error getting data for {symbol}: {e}")
+            if ticker:
+                for field in fields:
+                    if field in ticker:
+                        result[field] = ticker.get(field, None)
+                if result:
+                    results.append(result)
+
+        tasks = [get_one(symbol) for symbol in symbols]
+
+        await asyncio.gather(*tasks)
+
+        return results
+
+    @staticmethod
+    def transform_data(
+        query: YFinanceEquityQuoteQueryParams,
+        data: List[Dict],
+        **kwargs: Any,
+    ) -> List[YFinanceEquityQuoteData]:
+        """Transform the data."""
+        return [YFinanceEquityQuoteData.model_validate(d) for d in data]

openbb_platform/providers/yfinance/openbb_yfinance/models/equity_screener.py

@@ -0,0 +1,250 @@
+"""YFinance Equity Screener Model."""
+
+# pylint: disable=unused-argument, too-many-statements, too-many-branches
+
+from typing import Any, Optional
+
+from openbb_core.app.model.abstract.error import OpenBBError
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.equity_screener import (
+    EquityScreenerData,
+    EquityScreenerQueryParams,
+)
+from openbb_core.provider.utils.errors import EmptyDataError
+from openbb_yfinance.utils.references import (
+    COUNTRIES,
+    EXCHANGES,
+    INDUSTRIES,
+    INDUSTRY_MAP,
+    PEER_GROUPS,
+    SECTOR_MAP,
+    SECTORS,
+    Exchanges,
+    YFPredefinedScreenerData,
+    get_industry_sector,
+)
+from pydantic import Field
+
+
+class YFinanceEquityScreenerQueryParams(EquityScreenerQueryParams):
+    """YFinance Equity Screener Query."""
+
+    __json_schema_extra__ = {
+        "country": {
+            "multiple_items_allowed": False,
+            "choices": COUNTRIES,
+        },
+        "exchange": {
+            "multiple_items_allowed": False,
+            "choices": EXCHANGES,
+        },
+        "sector": {
+            "multiple_items_allowed": False,
+            "choices": list(SECTOR_MAP),
+        },
+        "industry": {
+            "multiple_items_allowed": False,
+            "choices": INDUSTRIES,
+        },
+    }
+
+    country: Optional[str] = Field(
+        default="us",
+        description="Filter by country, as a two-letter country code. Default is, 'us'. Use, 'all', for all countries.",
+    )
+    exchange: Optional[Exchanges] = Field(
+        default=None,
+        description="Filter by exchange.",
+    )
+    sector: Optional[SECTORS] = Field(default=None, description="Filter by sector.")
+    industry: Optional[str] = Field(
+        default=None,
+        description="Filter by industry.",
+    )
+    mktcap_min: Optional[int] = Field(
+        default=500000000,
+        description="Filter by market cap greater than this value. Default is 500M.",
+    )
+    mktcap_max: Optional[int] = Field(
+        default=None,
+        description="Filter by market cap less than this value.",
+    )
+    price_min: Optional[float] = Field(
+        default=5,
+        description="Filter by price greater than this value. Default is, 5",
+    )
+    price_max: Optional[float] = Field(
+        default=None,
+        description="Filter by price less than this value.",
+    )
+    volume_min: Optional[int] = Field(
+        default=10000,
+        description="Filter by volume greater than this value. Default is, 10K",
+    )
+    volume_max: Optional[int] = Field(
+        default=None,
+        description="Filter by volume less than this value.",
+    )
+    beta_min: Optional[float] = Field(
+        default=None,
+        description="Filter by a beta greater than this value.",
+    )
+    beta_max: Optional[float] = Field(
+        default=None,
+        description="Filter by a beta less than this value.",
+    )
+    limit: Optional[int] = Field(
+        default=200,
+        description="Limit the number of results returned. Default is, 200. Set to, 0, for all results.",
+    )
+
+
+class YFinanceEquityScreenerData(EquityScreenerData, YFPredefinedScreenerData):
+    """YFinance Equity Screener Data."""
+
+
+class YFinanceEquityScreenerFetcher(
+    Fetcher[YFinanceEquityScreenerQueryParams, list[YFinanceEquityScreenerData]]
+):
+    """YFinance Equity Screener Fetcher."""
+
+    @staticmethod
+    def transform_query(params: dict[str, Any]) -> YFinanceEquityScreenerQueryParams:
+        """Transform query."""
+        sector = params.get("sector")
+        industry = params.get("industry")
+
+        if industry and sector:
+            sec = get_industry_sector(industry)
+            if sec and sec != sector:
+                choices = "\n    ".join(sorted(INDUSTRY_MAP[sector]))
+                raise OpenBBError(
+                    ValueError(
+                        f"Industry {industry} does not belong to sector {sector}."
+                        " Valid choices are:" + "\n\n    " + f"{choices}"
+                    )
+                )
+        elif industry and not sector:
+            choices = "\n".join(INDUSTRIES)
+            sector = get_industry_sector(industry)
+            if not sector:
+                raise OpenBBError(
+                    ValueError(
+                        f"Industry {industry} not found. Valid choices are:"
+                        "\n" + f"{choices}"
+                    )
+                )
+            _industry = INDUSTRY_MAP[sector][industry]
+
+            if _industry not in PEER_GROUPS:
+                params["sector"] = get_industry_sector(industry)
+
+        return YFinanceEquityScreenerQueryParams(**params)
+
+    @staticmethod
+    async def aextract_data(
+        query: YFinanceEquityScreenerQueryParams,
+        credentials: Optional[dict[str, str]],
+        **kwargs: Any,
+    ) -> list[dict]:
+        """Extract the raw data."""
+        # pylint: disable=import-outside-toplevel
+        from openbb_yfinance.utils.helpers import get_custom_screener
+
+        operands: list = []
+
+        if query.exchange is not None:
+            operands.append(
+                {"operator": "eq", "operands": ["exchange", query.exchange.upper()]}
+            )
+            query.country = "all"
+
+        if query.country and query.country != "all":
+            operands.append({"operator": "EQ", "operands": ["region", query.country]})
+
+        if query.sector is not None:
+            sector = SECTOR_MAP[query.sector]
+            operands.append({"operator": "EQ", "operands": ["sector", sector]})
+
+        if query.industry is not None:
+            sector = (
+                query.sector
+                if query.sector is not None
+                else get_industry_sector(query.industry)
+            )
+            industry = INDUSTRY_MAP[sector][query.industry]
+            if industry in PEER_GROUPS:
+                operands.append(
+                    {"operator": "EQ", "operands": ["peer_group", industry]}
+                )
+            else:
+                operands.append({"operator": "EQ", "operands": ["industry", industry]})
+
+        if query.mktcap_min is not None:
+            operands.append(
+                {"operator": "gt", "operands": ["intradaymarketcap", query.mktcap_min]}
+            )
+
+        if query.mktcap_max is not None:
+            operands.append(
+                {"operator": "lt", "operands": ["intradaymarketcap", query.mktcap_max]}
+            )
+
+        if query.price_min is not None:
+            operands.append(
+                {"operator": "gt", "operands": ["intradayprice", query.price_min]}
+            )
+
+        if query.price_max is not None:
+            operands.append(
+                {"operator": "lt", "operands": ["intradayprice", query.price_max]}
+            )
+
+        if query.volume_min is not None:
+            operands.append(
+                {"operator": "gt", "operands": ["dayvolume", query.volume_min]}
+            )
+
+        if query.volume_max is not None:
+            operands.append(
+                {"operator": "lt", "operands": ["dayvolume", query.volume_max]}
+            )
+
+        if query.beta_min is not None:
+            operands.append({"operator": "gt", "operands": ["beta", query.beta_min]})
+
+        if query.beta_max is not None:
+            operands.append({"operator": "lt", "operands": ["beta", query.beta_max]})
+
+        payload = {
+            "offset": 0,
+            "size": 100,
+            "sortField": "percentchange",
+            "sortType": "DESC",
+            "quoteType": "EQUITY",
+            "query": {
+                "operands": operands,
+                "operator": "AND",
+            },
+            "userId": "",
+            "userIdType": "guid",
+        }
+
+        response = await get_custom_screener(
+            body=payload,
+            limit=query.limit if query.limit and query.limit not in (0, None) else None,
+        )
+
+        if not response:
+            raise EmptyDataError("No results found for the combination of filters.")
+
+        return response
+
+    @staticmethod
+    def transform_data(
+        query: YFinanceEquityScreenerQueryParams,
+        data: list[dict],
+        **kwargs: Any,
+    ) -> list[YFinanceEquityScreenerData]:
+        """Transform the data."""
+        return [YFinanceEquityScreenerData(**d) for d in data]

openbb_platform/providers/yfinance/openbb_yfinance/models/etf_info.py

@@ -0,0 +1,332 @@
+"""YFinance ETF Info Model."""
+
+# pylint: disable=unused-argument
+
+from typing import Any, Dict, List, Optional
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.etf_info import (
+    EtfInfoData,
+    EtfInfoQueryParams,
+)
+from pydantic import Field, field_validator
+
+
+class YFinanceEtfInfoQueryParams(EtfInfoQueryParams):
+    """YFinance ETF Info Query."""
+
+    __json_schema_extra__ = {"symbol": {"multiple_items_allowed": True}}
+
+
+class YFinanceEtfInfoData(EtfInfoData):
+    """YFinance ETF Info Data."""
+
+    __alias_dict__ = {
+        "name": "longName",
+        "inception_date": "fundInceptionDate",
+        "description": "longBusinessSummary",
+        "fund_type": "legalType",
+        "fund_family": "fundFamily",
+        "exchange_timezone": "timeZoneFullName",
+        "nav_price": "navPrice",
+        "total_assets": "totalAssets",
+        "trailing_pe": "trailingPE",
+        "dividend_yield": "yield",
+        "dividend_rate_ttm": "trailingAnnualDividendRate",
+        "dividend_yield_ttm": "trailingAnnualDividendYield",
+        "year_high": "fiftyTwoWeekHigh",
+        "year_low": "fiftyTwoWeekLow",
+        "ma_50d": "fiftyDayAverage",
+        "ma_200d": "twoHundredDayAverage",
+        "return_ytd": "ytdReturn",
+        "return_3y_avg": "threeYearAverageReturn",
+        "return_5y_avg": "fiveYearAverageReturn",
+        "beta_3y_avg": "beta3Year",
+        "volume_avg": "averageVolume",
+        "volume_avg_10d": "averageDailyVolume10Day",
+        "bid_size": "bidSize",
+        "ask_size": "askSize",
+        "high": "dayHigh",
+        "low": "dayLow",
+        "prev_close": "previousClose",
+    }
+
+    fund_type: Optional[str] = Field(
+        default=None,
+        description="The legal type of fund.",
+    )
+    fund_family: Optional[str] = Field(
+        default=None,
+        description="The fund family.",
+    )
+    category: Optional[str] = Field(
+        default=None,
+        description="The fund category.",
+    )
+    exchange: Optional[str] = Field(
+        default=None,
+        description="The exchange the fund is listed on.",
+    )
+    exchange_timezone: Optional[str] = Field(
+        default=None,
+        description="The timezone of the exchange.",
+    )
+    currency: Optional[str] = Field(
+        default=None,
+        description="The currency in which the fund is listed.",
+    )
+    nav_price: Optional[float] = Field(
+        default=None,
+        description="The net asset value per unit of the fund.",
+    )
+    total_assets: Optional[int] = Field(
+        default=None,
+        description="The total value of assets held by the fund.",
+    )
+    trailing_pe: Optional[float] = Field(
+        default=None,
+        description="The trailing twelve month P/E ratio of the fund's assets.",
+    )
+    dividend_yield: Optional[float] = Field(
+        default=None,
+        description="The dividend yield of the fund, as a normalized percent.",
+        json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
+    )
+    dividend_rate_ttm: Optional[float] = Field(
+        default=None,
+        description="The trailing twelve month annual dividend rate of the fund, in currency units.",
+    )
+    dividend_yield_ttm: Optional[float] = Field(
+        default=None,
+        description="The trailing twelve month annual dividend yield of the fund, as a normalized percent.",
+        json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
+    )
+    year_high: Optional[float] = Field(
+        default=None,
+        description="The fifty-two week high price.",
+    )
+    year_low: Optional[float] = Field(
+        default=None,
+        description="The fifty-two week low price.",
+    )
+    ma_50d: Optional[float] = Field(
+        default=None,
+        description="50-day moving average price.",
+    )
+    ma_200d: Optional[float] = Field(
+        default=None,
+        description="200-day moving average price.",
+    )
+    return_ytd: Optional[float] = Field(
+        default=None,
+        description="The year-to-date return of the fund, as a normalized percent.",
+        json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
+    )
+    return_3y_avg: Optional[float] = Field(
+        default=None,
+        description="The three year average return of the fund, as a normalized percent.",
+        json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
+    )
+    return_5y_avg: Optional[float] = Field(
+        default=None,
+        description="The five year average return of the fund, as a normalized percent.",
+        json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
+    )
+    beta_3y_avg: Optional[float] = Field(
+        default=None,
+        description="The three year average beta of the fund.",
+    )
+    volume_avg: Optional[float] = Field(
+        default=None,
+        description="The average daily trading volume of the fund.",
+    )
+    volume_avg_10d: Optional[float] = Field(
+        default=None,
+        description="The average daily trading volume of the fund over the past ten days.",
+    )
+    bid: Optional[float] = Field(
+        default=None,
+        description="The current bid price.",
+    )
+    bid_size: Optional[float] = Field(
+        default=None,
+        description="The current bid size.",
+    )
+    ask: Optional[float] = Field(
+        default=None,
+        description="The current ask price.",
+    )
+    ask_size: Optional[float] = Field(
+        default=None,
+        description="The current ask size.",
+    )
+    open: Optional[float] = Field(
+        default=None,
+        description="The open price of the most recent trading session.",
+    )
+    high: Optional[float] = Field(
+        default=None,
+        description="The highest price of the most recent trading session.",
+    )
+    low: Optional[float] = Field(
+        default=None,
+        description="The lowest price of the most recent trading session.",
+    )
+    volume: Optional[int] = Field(
+        default=None,
+        description="The trading volume of the most recent trading session.",
+    )
+    prev_close: Optional[float] = Field(
+        default=None,
+        description="The previous closing price.",
+    )
+
+    @field_validator("inception_date", mode="before", check_fields=False)
+    @classmethod
+    def validate_date(cls, v):
+        """Validate first stock price date."""
+        from datetime import datetime  # pylint: disable=import-outside-toplevel
+
+        if isinstance(v, datetime):
+            return v.date().strftime("%Y-%m-%d")
+        return datetime.fromtimestamp(v).date().strftime("%Y-%m-%d") if v else None
+
+
+class YFinanceEtfInfoFetcher(
+    Fetcher[YFinanceEtfInfoQueryParams, List[YFinanceEtfInfoData]]
+):
+    """YFinance ETF Info fetcher."""
+
+    @staticmethod
+    def transform_query(params: Dict[str, Any]) -> YFinanceEtfInfoQueryParams:
+        """Transform the query."""
+        return YFinanceEtfInfoQueryParams(**params)
+
+    @staticmethod
+    async def aextract_data(
+        query: YFinanceEtfInfoQueryParams,
+        credentials: Optional[Dict[str, str]],
+        **kwargs: Any,
+    ) -> List[Dict]:
+        """Extract the raw data from YFinance."""
+        # pylint: disable=import-outside-toplevel
+        import asyncio  # noqa
+        from curl_adapter import CurlCffiAdapter
+        from openbb_core.app.model.abstract.error import OpenBBError
+        from openbb_core.provider.utils.errors import EmptyDataError
+        from openbb_core.provider.utils.helpers import (
+            get_requests_session,
+            safe_fromtimestamp,
+        )
+        from warnings import warn
+        from yfinance import Ticker
+
+        symbols = query.symbol.split(",")
+        results: list = []
+        fields = [
+            "symbol",
+            "quoteType",
+            "legalType",
+            "longName",
+            "fundFamily",
+            "category",
+            "exchange",
+            "timeZoneFullName",
+            "fundInceptionDate",
+            "currency",
+            "navPrice",
+            "totalAssets",
+            "trailingPE",
+            "yield",
+            "trailingAnnualDividendRate",
+            "trailingAnnualDividendYield",
+            "bid",
+            "bidSize",
+            "ask",
+            "askSize",
+            "open",
+            "dayHigh",
+            "dayLow",
+            "previousClose",
+            "volume",
+            "averageVolume",
+            "averageDailyVolume10Day",
+            "fiftyTwoWeekHigh",
+            "fiftyTwoWeekLow",
+            "fiftyDayAverage",
+            "twoHundredDayAverage",
+            "ytdReturn",
+            "threeYearAverageReturn",
+            "fiveYearAverageReturn",
+            "beta3Year",
+            "longBusinessSummary",
+            "firstTradeDateEpochUtc",
+        ]
+        messages: list = []
+        session = get_requests_session()
+        session.mount("https://", CurlCffiAdapter())
+        session.mount("http://", CurlCffiAdapter())
+
+        async def get_one(symbol):
+            """Get the data for one ticker symbol."""
+            result: dict = {}
+            ticker: dict = {}
+            try:
+                ticker = Ticker(
+                    symbol,
+                    session=session,
+                ).get_info()
+            except Exception as e:
+                messages.append(
+                    f"Error getting data for {symbol} -> {e.__class__.__name__}: {e}"
+                )
+            if ticker:
+                quote_type = ticker.pop("quoteType", "")
+                if quote_type == "ETF":
+                    try:
+                        for field in fields:
+                            if field in ticker and ticker.get(field) is not None:
+                                result[field] = ticker.get(field, None)
+                        if "firstTradeDateEpochUtc" in result:
+                            _first_trade = result.pop("firstTradeDateEpochUtc")
+                            if (
+                                "fundInceptionDate" not in result
+                                and _first_trade is not None
+                            ):
+                                result["fundInceptionDate"] = safe_fromtimestamp(
+                                    _first_trade
+                                )
+                    except Exception as e:
+                        messages.append(
+                            f"Error processing data for {symbol} -> {e.__class__.__name__}: {e}"
+                        )
+                        result = {}
+                if quote_type != "ETF":
+                    messages.append(f"{symbol} is not an ETF.")
+                if result:
+                    results.append(result)
+
+        tasks = [get_one(symbol) for symbol in symbols]
+
+        await asyncio.gather(*tasks)
+
+        if not results and not messages:
+            raise EmptyDataError("No data was returned for the given symbol(s).")
+
+        if not results and messages:
+            raise OpenBBError("\n".join(messages))
+
+        if results and messages:
+            for message in messages:
+                warn(message)
+
+        return results
+
+    @staticmethod
+    def transform_data(
+        query: YFinanceEtfInfoQueryParams,
+        data: List[Dict],
+        **kwargs: Any,
+    ) -> List[YFinanceEtfInfoData]:
+        """Transform the data."""
+        return [YFinanceEtfInfoData.model_validate(d) for d in data]

openbb_platform/providers/yfinance/openbb_yfinance/models/futures_curve.py

@@ -0,0 +1,69 @@
+"""Yahoo Finance Futures Curve Model."""
+
+# pylint: disable=unused-argument
+
+from typing import Any, Dict, List, Optional
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.futures_curve import (
+    FuturesCurveData,
+    FuturesCurveQueryParams,
+)
+from openbb_core.provider.utils.errors import EmptyDataError
+
+
+class YFinanceFuturesCurveQueryParams(FuturesCurveQueryParams):
+    """Yahoo Finance Futures Curve Query.
+
+    Source: https://finance.yahoo.com/
+    """
+
+    __json_schema_extra__ = {
+        "date": {"multiple_items_allowed": True},
+    }
+
+
+class YFinanceFuturesCurveData(FuturesCurveData):
+    """Yahoo Finance Futures Curve Data."""
+
+
+class YFinanceFuturesCurveFetcher(
+    Fetcher[
+        YFinanceFuturesCurveQueryParams,
+        List[YFinanceFuturesCurveData],
+    ]
+):
+    """YFiannce Futures Curve Fetcher."""
+
+    @staticmethod
+    def transform_query(params: Dict[str, Any]) -> YFinanceFuturesCurveQueryParams:
+        """Transform the query."""
+        return YFinanceFuturesCurveQueryParams(**params)
+
+    @staticmethod
+    async def aextract_data(
+        query: YFinanceFuturesCurveQueryParams,
+        credentials: Optional[Dict[str, str]],
+        **kwargs: Any,
+    ) -> List[Dict]:
+        """Extract the data from Yahoo."""
+        # pylint: disable=import-outside-toplevel
+        from openbb_yfinance.utils.helpers import get_futures_curve
+
+        # TODO: Find a better way to do this.
+        data = await get_futures_curve(query.symbol, query.date)  # type: ignore
+        data = data.to_dict(orient="records")
+
+        if not data:
+            raise EmptyDataError()
+
+        return data
+
+    @staticmethod
+    def transform_data(
+        query: YFinanceFuturesCurveQueryParams,
+        data: List[Dict],
+        **kwargs: Any,
+    ) -> List[YFinanceFuturesCurveData]:
+        """Transform the data to the standard format."""
+        return [YFinanceFuturesCurveData.model_validate(d) for d in data]

openbb_platform/providers/yfinance/openbb_yfinance/models/futures_historical.py

@@ -0,0 +1,151 @@
+"""Yahoo Finance Futures Historical Price Model."""
+
+# pylint: disable=unused-argument
+
+from datetime import datetime
+from typing import Any, Dict, List, Literal, Optional
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.futures_historical import (
+    FuturesHistoricalData,
+    FuturesHistoricalQueryParams,
+)
+from openbb_core.provider.utils.descriptions import QUERY_DESCRIPTIONS
+from openbb_core.provider.utils.errors import EmptyDataError
+from openbb_yfinance.utils.references import INTERVALS_DICT, MONTHS
+from pydantic import Field, field_validator
+
+
+class YFinanceFuturesHistoricalQueryParams(FuturesHistoricalQueryParams):
+    """Yahoo Finance Futures historical Price Query.
+
+    Source: https://finance.yahoo.com/crypto/
+    """
+
+    __json_schema_extra__ = {"symbol": {"multiple_items_allowed": True}}
+
+    interval: Literal[
+        "1m",
+        "2m",
+        "5m",
+        "15m",
+        "30m",
+        "60m",
+        "90m",
+        "1h",
+        "1d",
+        "5d",
+        "1W",
+        "1M",
+        "1Q",
+    ] = Field(
+        default="1d",
+        description=QUERY_DESCRIPTIONS.get("interval", ""),
+    )
+
+
+class YFinanceFuturesHistoricalData(FuturesHistoricalData):
+    """Yahoo Finance Futures Historical Price Data."""
+
+    @field_validator("date", mode="before", check_fields=False)
+    @classmethod
+    def date_validate(cls, v):
+        """Return datetime object from string."""
+        # pylint: disable=import-outside-toplevel
+        from pandas import Timestamp
+
+        if isinstance(v, Timestamp):
+            return v.to_pydatetime()
+        return v
+
+
+class YFinanceFuturesHistoricalFetcher(
+    Fetcher[
+        YFinanceFuturesHistoricalQueryParams,
+        List[YFinanceFuturesHistoricalData],
+    ]
+):
+    """Transform the query, extract and transform the data from the Yahoo Finance endpoints."""
+
+    @staticmethod
+    def transform_query(params: Dict[str, Any]) -> YFinanceFuturesHistoricalQueryParams:
+        """Transform the query."""
+        # pylint: disable=import-outside-toplevel
+        from dateutil.relativedelta import relativedelta
+        from openbb_yfinance.utils.helpers import get_futures_data
+
+        transformed_params = params.copy()
+
+        symbols = params["symbol"].split(",")
+        new_symbols = []
+        futures_data = get_futures_data()
+        for symbol in symbols:
+            if params.get("expiration"):
+                expiry_date = datetime.strptime(
+                    transformed_params["expiration"], "%Y-%m"
+                )
+                if "." not in symbol:
+                    exchange = futures_data[futures_data["Ticker"] == symbol][
+                        "Exchange"
+                    ].values[0]
+                    new_symbol = f"{symbol}{MONTHS[expiry_date.month]}{str(expiry_date.year)[-2:]}.{exchange}"
+                else:
+                    new_symbol = symbol
+                new_symbols.append(new_symbol)
+            else:
+                new_symbols.append(symbol)
+
+        formatted_symbols = []
+        for s in new_symbols:
+            if "." not in s.upper() and "=F" not in s.upper():
+                formatted_symbols.append(f"{s.upper()}=F")
+            else:
+                formatted_symbols.append(s.upper())
+
+        transformed_params["symbol"] = ",".join(formatted_symbols)
+
+        now = datetime.now()
+
+        if params.get("start_date") is None:
+            transformed_params["start_date"] = (now - relativedelta(years=1)).strftime(
+                "%Y-%m-%d"
+            )
+
+        if params.get("end_date") is None:
+            transformed_params["end_date"] = now.strftime("%Y-%m-%d")
+
+        return YFinanceFuturesHistoricalQueryParams(**transformed_params)
+
+    @staticmethod
+    def extract_data(
+        query: YFinanceFuturesHistoricalQueryParams,
+        credentials: Optional[Dict[str, str]],
+        **kwargs: Any,
+    ) -> List[Dict]:
+        """Return the raw data from the Yahoo Finance endpoint."""
+        # pylint: disable=import-outside-toplevel
+        from openbb_yfinance.utils.helpers import yf_download
+
+        data = yf_download(
+            query.symbol,
+            start_date=query.start_date,
+            end_date=query.end_date,
+            interval=INTERVALS_DICT[query.interval],  # type: ignore
+            prepost=True,
+            auto_adjust=False,
+            actions=False,
+        )
+
+        if data.empty:
+            raise EmptyDataError()
+
+        return data.to_dict("records")
+
+    @staticmethod
+    def transform_data(
+        query: YFinanceFuturesHistoricalQueryParams,
+        data: List[Dict],
+        **kwargs: Any,
+    ) -> List[YFinanceFuturesHistoricalData]:
+        """Transform the data to the standard format."""
+        return [YFinanceFuturesHistoricalData.model_validate(d) for d in data]

openbb_platform/providers/yfinance/openbb_yfinance/models/gainers.py

@@ -0,0 +1,90 @@
+"""Yahoo Finance Top Gainers Model."""
+
+# pylint: disable=unused-argument
+
+from typing import Any, Optional
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.equity_performance import (
+    EquityPerformanceQueryParams,
+)
+from openbb_yfinance.utils.references import YFPredefinedScreenerData
+from pydantic import Field
+
+
+class YFGainersQueryParams(EquityPerformanceQueryParams):
+    """Yahoo Finance Gainers Query.
+
+    Source: https://finance.yahoo.com/screener/predefined/day_gainers
+    """
+
+    limit: Optional[int] = Field(
+        default=200,
+        description="Limit the number of results.",
+    )
+
+
+class YFGainersData(YFPredefinedScreenerData):
+    """Yahoo Finance Gainers Data."""
+
+
+class YFGainersFetcher(Fetcher[YFGainersQueryParams, list[YFGainersData]]):
+    """Yahoo Finance Gainers Fetcher."""
+
+    @staticmethod
+    def transform_query(params: dict[str, Any]) -> YFGainersQueryParams:
+        """Transform query params."""
+        return YFGainersQueryParams(**params)
+
+    @staticmethod
+    async def aextract_data(
+        query: YFGainersQueryParams,
+        credentials: Optional[dict[str, str]],
+        **kwargs: Any,
+    ) -> list[dict]:
+        """Get data from YF."""
+        # pylint: disable=import-outside-toplevel
+        from openbb_yfinance.utils.helpers import get_custom_screener
+
+        body = {
+            "offset": 0,
+            "size": 250,
+            "sortField": "percentchange",
+            "sortType": "desc",
+            "quoteType": "equity",
+            "query": {
+                "operator": "and",
+                "operands": [
+                    {"operator": "gt", "operands": ["intradaymarketcap", 500000000]},
+                    {
+                        "operator": "or",
+                        "operands": [
+                            {"operator": "eq", "operands": ["exchange", "NMS"]},
+                            {"operator": "eq", "operands": ["exchange", "NYQ"]},
+                        ],
+                    },
+                    {"operator": "gt", "operands": ["percentchange", 3]},
+                    {"operator": "gt", "operands": ["intradayprice", 5]},
+                ],
+            },
+            "userId": "",
+            "userIdType": "guid",
+        }
+
+        return await get_custom_screener(body=body, limit=query.limit)
+
+    @staticmethod
+    def transform_data(
+        query: EquityPerformanceQueryParams,
+        data: list[dict],
+        **kwargs: Any,
+    ) -> list[YFGainersData]:
+        """Transform data."""
+        return [
+            YFGainersData.model_validate(d)
+            for d in sorted(
+                data,
+                key=lambda x: x["regularMarketChangePercent"],
+                reverse=query.sort == "desc",
+            )
+        ]

openbb_platform/providers/yfinance/openbb_yfinance/models/growth_tech_equities.py

@@ -0,0 +1,96 @@
+"""Yahoo Finance Asset Performance Growth Tech Equities Model."""
+
+# pylint: disable=unused-argument
+
+from typing import Any, Optional
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.equity_performance import (
+    EquityPerformanceQueryParams,
+)
+from openbb_yfinance.utils.references import YFPredefinedScreenerData
+from pydantic import Field
+
+
+class YFGrowthTechEquitiesQueryParams(EquityPerformanceQueryParams):
+    """Yahoo Finance Growth Tech Stocks Query.
+
+    Source: https://finance.yahoo.com/screener/predefined/growth_technology_stocks
+    """
+
+    limit: Optional[int] = Field(
+        default=200,
+        description="Limit the number of results.",
+    )
+
+
+class YFGrowthTechEquitiesData(YFPredefinedScreenerData):
+    """Yahoo Finance Growth Tech Stocks Data."""
+
+
+class YFGrowthTechEquitiesFetcher(
+    Fetcher[YFGrowthTechEquitiesQueryParams, list[YFGrowthTechEquitiesData]]
+):
+    """Transform the query, extract and transform the data from the Yahoo Finance endpoints."""
+
+    @staticmethod
+    def transform_query(params: dict[str, Any]) -> YFGrowthTechEquitiesQueryParams:
+        """Transform query params."""
+        return YFGrowthTechEquitiesQueryParams(**params)
+
+    @staticmethod
+    async def aextract_data(
+        query: YFGrowthTechEquitiesQueryParams,
+        credentials: Optional[dict[str, str]],
+        **kwargs: Any,
+    ) -> list[dict]:
+        """Get data from YF."""
+        # pylint: disable=import-outside-toplevel
+        from openbb_yfinance.utils.helpers import get_custom_screener
+
+        body = {
+            "offset": 0,
+            "size": 250,
+            "sortField": "eodvolume",
+            "sortType": "desc",
+            "quoteType": "equity",
+            "query": {
+                "operator": "and",
+                "operands": [
+                    {"operator": "gt", "operands": ["intradaymarketcap", 500000000]},
+                    {
+                        "operator": "or",
+                        "operands": [
+                            {"operator": "eq", "operands": ["exchange", "NMS"]},
+                            {"operator": "eq", "operands": ["exchange", "NYQ"]},
+                        ],
+                    },
+                    {
+                        "operator": "gte",
+                        "operands": ["quarterlyrevenuegrowth.quarterly", 25],
+                    },
+                    {"operator": "gte", "operands": ["epsgrowth.lasttwelvemonths", 25]},
+                    {"operator": "eq", "operands": ["sector", "Technology"]},
+                ],
+            },
+            "userId": "",
+            "userIdType": "guid",
+        }
+
+        return await get_custom_screener(body=body, limit=query.limit)
+
+    @staticmethod
+    def transform_data(
+        query: EquityPerformanceQueryParams,
+        data: list[dict],
+        **kwargs: Any,
+    ) -> list[YFGrowthTechEquitiesData]:
+        """Transform data."""
+        return [
+            YFGrowthTechEquitiesData.model_validate(d)
+            for d in sorted(
+                data,
+                key=lambda x: x["regularMarketChangePercent"],
+                reverse=query.sort == "desc",
+            )
+        ]

openbb_platform/providers/yfinance/openbb_yfinance/models/historical_dividends.py

@@ -0,0 +1,78 @@
+"""YFinance Historical Dividends Model."""
+
+# pylint: disable=unused-argument
+from typing import Any, Dict, List, Optional
+
+from openbb_core.app.model.abstract.error import OpenBBError
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.historical_dividends import (
+    HistoricalDividendsData,
+    HistoricalDividendsQueryParams,
+)
+
+
+class YFinanceHistoricalDividendsQueryParams(HistoricalDividendsQueryParams):
+    """YFinance Historical Dividends Query."""
+
+
+class YFinanceHistoricalDividendsData(HistoricalDividendsData):
+    """YFinance Historical Dividends Data. All data is split-adjusted."""
+
+
+class YFinanceHistoricalDividendsFetcher(
+    Fetcher[
+        YFinanceHistoricalDividendsQueryParams, List[YFinanceHistoricalDividendsData]
+    ]
+):
+    """YFinance Historical Dividends Fetcher."""
+
+    @staticmethod
+    def transform_query(
+        params: Dict[str, Any],
+    ) -> YFinanceHistoricalDividendsQueryParams:
+        """Transform the query."""
+        return YFinanceHistoricalDividendsQueryParams(**params)
+
+    @staticmethod
+    def extract_data(
+        query: YFinanceHistoricalDividendsQueryParams,
+        credentials: Optional[Dict[str, str]],
+        **kwargs: Any,
+    ) -> List[Dict]:
+        """Extract the raw data from YFinance."""
+        # pylint: disable=import-outside-toplevel
+        from curl_adapter import CurlCffiAdapter
+        from openbb_core.provider.utils.helpers import get_requests_session
+        from yfinance import Ticker
+
+        session = get_requests_session()
+        session.mount("https://", CurlCffiAdapter())
+        session.mount("http://", CurlCffiAdapter())
+
+        try:
+            ticker = Ticker(
+                query.symbol,
+                session=session,
+            ).get_dividends()
+            if isinstance(ticker, List) and not ticker or ticker.empty:  # type: ignore
+                raise OpenBBError(f"No dividend data found for {query.symbol}")
+        except Exception as e:
+            raise OpenBBError(f"Error getting data for {query.symbol}: {e}") from e
+        ticker.index.name = "ex_dividend_date"  # type: ignore[union-attr]
+        ticker.name = "amount"  # type: ignore
+        if query.start_date is not None:
+            ticker = ticker[ticker.index.astype(str) >= query.start_date.strftime("%Y-%m-%d")]  # type: ignore
+        if query.end_date is not None:
+            ticker = ticker[ticker.index.astype(str) <= query.end_date.strftime("%Y-%m-%d")]  # type: ignore
+        dividends = ticker.reset_index().to_dict("records")  # type: ignore
+
+        return dividends
+
+    @staticmethod
+    def transform_data(
+        query: YFinanceHistoricalDividendsQueryParams,
+        data: List[Dict],
+        **kwargs: Any,
+    ) -> List[YFinanceHistoricalDividendsData]:
+        """Transform the data."""
+        return [YFinanceHistoricalDividendsData.model_validate(d) for d in data]

openbb_platform/providers/yfinance/openbb_yfinance/models/income_statement.py

@@ -0,0 +1,125 @@
+"""Yahoo Finance Income Statement Model."""
+
+# pylint: disable=unused-argument
+
+from datetime import datetime
+from typing import Any, Literal, Optional
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.income_statement import (
+    IncomeStatementData,
+    IncomeStatementQueryParams,
+)
+from openbb_core.provider.utils.descriptions import QUERY_DESCRIPTIONS
+from pydantic import Field, field_validator
+
+
+class YFinanceIncomeStatementQueryParams(IncomeStatementQueryParams):
+    """Yahoo Finance Income Statement Query.
+
+    Source: https://finance.yahoo.com/
+    """
+
+    __json_schema_extra__ = {
+        "period": {
+            "choices": ["annual", "quarter"],
+        }
+    }
+
+    period: Literal["annual", "quarter"] = Field(
+        default="annual",
+        description=QUERY_DESCRIPTIONS.get("period", ""),
+    )
+    limit: Optional[int] = Field(
+        default=5,
+        description=QUERY_DESCRIPTIONS.get("limit", ""),
+        le=5,
+    )
+
+
+class YFinanceIncomeStatementData(IncomeStatementData):
+    """Yahoo Finance Income Statement Data."""
+
+    __alias_dict__ = {
+        "selling_general_and_admin_expense": "selling_general_and_administration",
+        "research_and_development_expense": "research_and_development",
+        "total_pre_tax_income": "pretax_income",
+        "net_income_attributable_to_common_shareholders": "net_income_common_stockholders",
+        "weighted_average_basic_shares_outstanding": "basic_average_shares",
+        "weighted_average_diluted_shares_outstanding": "diluted_average_shares",
+        "basic_earnings_per_share": "basic_eps",
+        "diluted_earnings_per_share": "diluted_eps",
+    }
+
+    @field_validator("period_ending", mode="before", check_fields=False)
+    @classmethod
+    def date_validate(cls, v):
+        """Validate the date field."""
+        if isinstance(v, str):
+            return datetime.strptime(v, "%Y-%m-%d %H:%M:%S").date()
+        return v
+
+
+class YFinanceIncomeStatementFetcher(
+    Fetcher[
+        YFinanceIncomeStatementQueryParams,
+        list[YFinanceIncomeStatementData],
+    ]
+):
+    """Yahoo Finance Income Statement Fetcher."""
+
+    @staticmethod
+    def transform_query(params: dict[str, Any]) -> YFinanceIncomeStatementQueryParams:
+        """Transform the query parameters."""
+        return YFinanceIncomeStatementQueryParams(**params)
+
+    @staticmethod
+    def extract_data(
+        query: YFinanceIncomeStatementQueryParams,
+        credentials: Optional[dict[str, str]],
+        **kwargs: Any,
+    ) -> list[YFinanceIncomeStatementData]:
+        """Extract the data from the Yahoo Finance endpoints."""
+        # pylint: disable=import-outside-toplevel
+        import json  # noqa
+        from curl_adapter import CurlCffiAdapter
+        from numpy import nan
+        from openbb_core.provider.utils.errors import EmptyDataError
+        from openbb_core.provider.utils.helpers import (
+            get_requests_session,
+            to_snake_case,
+        )
+        from yfinance import Ticker
+
+        period = "yearly" if query.period == "annual" else "quarterly"
+        session = get_requests_session()
+        session.mount("https://", CurlCffiAdapter())
+        session.mount("http://", CurlCffiAdapter())
+
+        data = Ticker(
+            query.symbol,
+            session=session,
+        ).get_income_stmt(as_dict=False, pretty=False, freq=period)
+
+        if data is None:
+            raise EmptyDataError()
+
+        if query.limit:
+            data = data.iloc[:, : query.limit]
+
+        data.index = [to_snake_case(i) for i in data.index]
+        data = data.reset_index().sort_index(ascending=False).set_index("index")
+        data = data.replace({nan: None}).to_dict()
+        data = [{"period_ending": str(key), **value} for key, value in data.items()]
+        data = json.loads(json.dumps(data))
+
+        return data
+
+    @staticmethod
+    def transform_data(
+        query: YFinanceIncomeStatementQueryParams,
+        data: list[dict],
+        **kwargs: Any,
+    ) -> list[YFinanceIncomeStatementData]:
+        """Transform the data."""
+        return [YFinanceIncomeStatementData.model_validate(d) for d in data]

openbb_platform/providers/yfinance/openbb_yfinance/models/index_historical.py

@@ -0,0 +1,154 @@
+"""Yahoo Finance Index Historical Model."""
+
+# pylint: disable=unused-argument
+
+from datetime import datetime
+from typing import Any, Dict, List, Literal, Optional
+from warnings import warn
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.index_historical import (
+    IndexHistoricalData,
+    IndexHistoricalQueryParams,
+)
+from openbb_core.provider.utils.descriptions import QUERY_DESCRIPTIONS
+from openbb_core.provider.utils.errors import EmptyDataError
+from openbb_yfinance.utils.references import INDICES, INTERVALS_DICT
+from pydantic import Field
+
+
+class YFinanceIndexHistoricalQueryParams(IndexHistoricalQueryParams):
+    """YFinance Index Historical Query.
+
+    Source: https://finance.yahoo.com/world-indices
+    """
+
+    __json_schema_extra__ = {
+        "symbol": {"multiple_items_allowed": True},
+        "interval": {
+            "choices": [
+                "1m",
+                "2m",
+                "5m",
+                "15m",
+                "30m",
+                "60m",
+                "90m",
+                "1h",
+                "1d",
+                "5d",
+                "1W",
+                "1M",
+                "1Q",
+            ]
+        },
+    }
+
+    interval: Literal[
+        "1m",
+        "2m",
+        "5m",
+        "15m",
+        "30m",
+        "60m",
+        "90m",
+        "1h",
+        "1d",
+        "5d",
+        "1W",
+        "1M",
+        "1Q",
+    ] = Field(
+        default="1d",
+        description=QUERY_DESCRIPTIONS.get("interval", ""),
+    )
+
+
+class YFinanceIndexHistoricalData(IndexHistoricalData):
+    """YFinance Index Historical Data."""
+
+
+class YFinanceIndexHistoricalFetcher(
+    Fetcher[
+        YFinanceIndexHistoricalQueryParams,
+        List[YFinanceIndexHistoricalData],
+    ]
+):
+    """Transform the query, extract and transform the data from the Yahoo Finance endpoints."""
+
+    @staticmethod
+    def transform_query(params: Dict[str, Any]) -> YFinanceIndexHistoricalQueryParams:
+        """Transform the query."""
+        # pylint: disable=import-outside-toplevel
+        from dateutil.relativedelta import relativedelta
+        from pandas import DataFrame
+
+        transformed_params = params
+        now = datetime.now().date()
+
+        if params.get("start_date") is None:
+            transformed_params["start_date"] = now - relativedelta(years=1)
+
+        if params.get("end_date") is None:
+            transformed_params["end_date"] = now
+
+        tickers = params.get("symbol").lower().split(",")  # type: ignore
+
+        new_tickers = []
+        for ticker in tickers:
+            _ticker = ""
+            indices = DataFrame(INDICES).transpose().reset_index()
+            indices.columns = ["code", "name", "symbol"]
+
+            if ticker in indices["code"].values:
+                _ticker = indices[indices["code"] == ticker]["symbol"].values[0]
+
+            if ticker.title() in indices["name"].values:
+                _ticker = indices[indices["name"] == ticker.title()]["symbol"].values[0]
+
+            if "^" + ticker.upper() in indices["symbol"].values:
+                _ticker = "^" + ticker.upper()
+
+            if ticker.upper() in indices["symbol"].values:
+                _ticker = ticker.upper()
+
+            if _ticker != "":
+                new_tickers.append(_ticker)
+            else:
+                warn(f"Symbol Error: {ticker} is not a supported index.")
+
+        transformed_params["symbol"] = ",".join(new_tickers)
+
+        return YFinanceIndexHistoricalQueryParams(**params)
+
+    @staticmethod
+    def extract_data(
+        query: YFinanceIndexHistoricalQueryParams,
+        credentials: Optional[Dict[str, str]],
+        **kwargs: Any,
+    ) -> List[dict]:
+        """Return the raw data from the Yahoo Finance endpoint."""
+        # pylint: disable=import-outside-toplevel
+        from openbb_yfinance.utils.helpers import yf_download
+
+        data = yf_download(
+            symbol=query.symbol,
+            start_date=query.start_date,
+            end_date=query.end_date,
+            interval=INTERVALS_DICT[query.interval],  # type: ignore
+            prepost=True,
+        )
+
+        if data.empty:
+            raise EmptyDataError()
+
+        return data.to_dict("records")
+
+    @staticmethod
+    def transform_data(
+        query: YFinanceIndexHistoricalQueryParams,
+        data: dict,
+        **kwargs: Any,
+    ) -> List[YFinanceIndexHistoricalData]:
+        """Transform the data to the standard format."""
+        return [YFinanceIndexHistoricalData.model_validate(d) for d in data]

openbb_platform/providers/yfinance/openbb_yfinance/models/key_executives.py

@@ -0,0 +1,95 @@
+"""YFinance Key Executives Model."""
+
+# pylint: disable=unused-argument
+from typing import Any, Dict, List, Optional
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.key_executives import (
+    KeyExecutivesData,
+    KeyExecutivesQueryParams,
+)
+from pydantic import Field
+
+
+class YFinanceKeyExecutivesQueryParams(KeyExecutivesQueryParams):
+    """YFinance Key Executives Query."""
+
+
+class YFinanceKeyExecutivesData(KeyExecutivesData):
+    """YFinance Key Executives Data."""
+
+    __alias_dict__ = {
+        "year_born": "yearBorn",
+        "fiscal_year": "fiscalYear",
+        "pay": "totalPay",
+        "exercised_value": "exercisedValue",
+        "unexercised_value": "unexercisedValue",
+    }
+
+    exercised_value: Optional[int] = Field(
+        default=None,
+        description="Value of shares exercised.",
+    )
+    unexercised_value: Optional[int] = Field(
+        default=None,
+        description="Value of shares not exercised.",
+    )
+    fiscal_year: Optional[int] = Field(
+        default=None,
+        description="Fiscal year of the pay.",
+    )
+
+
+class YFinanceKeyExecutivesFetcher(
+    Fetcher[YFinanceKeyExecutivesQueryParams, List[YFinanceKeyExecutivesData]]
+):
+    """YFinance Key Executives Fetcher."""
+
+    @staticmethod
+    def transform_query(params: Dict[str, Any]) -> YFinanceKeyExecutivesQueryParams:
+        """Transform the query."""
+        return YFinanceKeyExecutivesQueryParams(**params)
+
+    @staticmethod
+    def extract_data(
+        query: YFinanceKeyExecutivesQueryParams,
+        credentials: Optional[Dict[str, str]],
+        **kwargs: Any,
+    ) -> List[Dict]:
+        """Extract the raw data from YFinance."""
+        # pylint: disable=import-outside-toplevel
+        from curl_adapter import CurlCffiAdapter  # noqa
+        from openbb_core.app.model.abstract.error import OpenBBError
+        from openbb_core.provider.utils.helpers import get_requests_session
+        from yfinance import Ticker
+
+        session = get_requests_session()
+        session.mount("https://", CurlCffiAdapter())
+        session.mount("http://", CurlCffiAdapter())
+
+        try:
+            ticker = Ticker(
+                query.symbol,
+                session=session,
+            ).get_info()
+        except Exception as e:
+            raise OpenBBError(
+                f"Error getting data for {query.symbol} -> {e.__class__.__name__}: {e}"
+            ) from e
+
+        if ticker.get("companyOfficers") is None:
+            raise OpenBBError(f"No executive data found for {query.symbol}")
+
+        officers_data = ticker.get("companyOfficers", [])
+        _ = [d.pop("maxAge", None) for d in officers_data]
+
+        return officers_data
+
+    @staticmethod
+    def transform_data(
+        query: YFinanceKeyExecutivesQueryParams,
+        data: List[Dict],
+        **kwargs: Any,
+    ) -> List[YFinanceKeyExecutivesData]:
+        """Transform the data."""
+        return [YFinanceKeyExecutivesData.model_validate(d) for d in data]

openbb_platform/providers/yfinance/openbb_yfinance/models/key_metrics.py

@@ -0,0 +1,339 @@
+"""YFinance Key Metrics Model."""
+
+# pylint: disable=unused-argument
+
+from typing import Any, Dict, List, Optional
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.key_metrics import (
+    KeyMetricsData,
+    KeyMetricsQueryParams,
+)
+from pydantic import Field, field_validator
+
+
+class YFinanceKeyMetricsQueryParams(KeyMetricsQueryParams):
+    """YFinance Key Metrics Query."""
+
+    __json_schema_extra__ = {"symbol": {"multiple_items_allowed": True}}
+
+
+class YFinanceKeyMetricsData(KeyMetricsData):
+    """YFinance Key Metrics Data."""
+
+    __alias_dict__ = {
+        "market_cap": "marketCap",
+        "pe_ratio": "trailingPE",
+        "forward_pe": "forwardPE",
+        "peg_ratio": "pegRatio",
+        "peg_ratio_ttm": "trailingPegRatio",
+        "eps_ttm": "trailingEps",
+        "eps_forward": "forwardEps",
+        "enterprise_to_ebitda": "enterpriseToEbitda",
+        "earnings_growth": "earningsGrowth",
+        "earnings_growth_quarterly": "earningsQuarterlyGrowth",
+        "revenue_per_share": "revenuePerShare",
+        "revenue_growth": "revenueGrowth",
+        "enterprise_to_revenue": "enterpriseToRevenue",
+        "cash_per_share": "totalCashPerShare",
+        "quick_ratio": "quickRatio",
+        "current_ratio": "currentRatio",
+        "debt_to_equity": "debtToEquity",
+        "gross_margin": "grossMargins",
+        "operating_margin": "operatingMargins",
+        "ebitda_margin": "ebitdaMargins",
+        "profit_margin": "profitMargins",
+        "return_on_assets": "returnOnAssets",
+        "return_on_equity": "returnOnEquity",
+        "dividend_yield": "dividendYield",
+        "dividend_yield_5y_avg": "fiveYearAvgDividendYield",
+        "payout_ratio": "payoutRatio",
+        "book_value": "bookValue",
+        "price_to_book": "priceToBook",
+        "enterprise_value": "enterpriseValue",
+        "overall_risk": "overallRisk",
+        "audit_risk": "auditRisk",
+        "board_risk": "boardRisk",
+        "compensation_risk": "compensationRisk",
+        "shareholder_rights_risk": "shareHolderRightsRisk",
+        "price_return_1y": "52WeekChange",
+        "currency": "financialCurrency",
+    }
+
+    forward_pe: Optional[float] = Field(
+        default=None,
+        description="Forward price-to-earnings ratio.",
+    )
+    peg_ratio: Optional[float] = Field(
+        default=None,
+        description="PEG ratio (5-year expected).",
+    )
+    peg_ratio_ttm: Optional[float] = Field(
+        default=None,
+        description="PEG ratio (TTM).",
+    )
+    eps_ttm: Optional[float] = Field(
+        default=None,
+        description="Earnings per share (TTM).",
+    )
+    eps_forward: Optional[float] = Field(
+        default=None,
+        description="Forward earnings per share.",
+    )
+    enterprise_to_ebitda: Optional[float] = Field(
+        default=None,
+        description="Enterprise value to EBITDA ratio.",
+    )
+    earnings_growth: Optional[float] = Field(
+        default=None,
+        description="Earnings growth (Year Over Year), as a normalized percent.",
+        json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
+    )
+    earnings_growth_quarterly: Optional[float] = Field(
+        default=None,
+        description="Quarterly earnings growth (Year Over Year), as a normalized percent.",
+        json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
+    )
+    revenue_per_share: Optional[float] = Field(
+        default=None,
+        description="Revenue per share (TTM).",
+    )
+    revenue_growth: Optional[float] = Field(
+        default=None,
+        description="Revenue growth (Year Over Year), as a normalized percent.",
+        json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
+    )
+    enterprise_to_revenue: Optional[float] = Field(
+        default=None,
+        description="Enterprise value to revenue ratio.",
+    )
+    cash_per_share: Optional[float] = Field(
+        default=None,
+        description="Cash per share.",
+    )
+    quick_ratio: Optional[float] = Field(
+        default=None,
+        description="Quick ratio.",
+    )
+    current_ratio: Optional[float] = Field(
+        default=None,
+        description="Current ratio.",
+    )
+    debt_to_equity: Optional[float] = Field(
+        default=None,
+        description="Debt-to-equity ratio.",
+    )
+    gross_margin: Optional[float] = Field(
+        default=None,
+        description="Gross margin, as a normalized percent.",
+        json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
+    )
+    operating_margin: Optional[float] = Field(
+        default=None,
+        description="Operating margin, as a normalized percent.",
+        json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
+    )
+    ebitda_margin: Optional[float] = Field(
+        default=None,
+        description="EBITDA margin, as a normalized percent.",
+        json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
+    )
+    profit_margin: Optional[float] = Field(
+        default=None,
+        description="Profit margin, as a normalized percent.",
+        json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
+    )
+    return_on_assets: Optional[float] = Field(
+        default=None,
+        description="Return on assets, as a normalized percent.",
+        json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
+    )
+    return_on_equity: Optional[float] = Field(
+        default=None,
+        description="Return on equity, as a normalized percent.",
+        json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
+    )
+    dividend_yield: Optional[float] = Field(
+        default=None,
+        description="Dividend yield, as a normalized percent.",
+        json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
+    )
+    dividend_yield_5y_avg: Optional[float] = Field(
+        default=None,
+        description="5-year average dividend yield, as a normalized percent.",
+        json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
+    )
+    payout_ratio: Optional[float] = Field(
+        default=None,
+        description="Payout ratio.",
+    )
+    book_value: Optional[float] = Field(
+        default=None,
+        description="Book value per share.",
+    )
+    price_to_book: Optional[float] = Field(
+        default=None,
+        description="Price-to-book ratio.",
+    )
+    enterprise_value: Optional[int] = Field(
+        default=None,
+        description="Enterprise value.",
+    )
+    overall_risk: Optional[float] = Field(
+        default=None,
+        description="Overall risk score.",
+    )
+    audit_risk: Optional[float] = Field(
+        default=None,
+        description="Audit risk score.",
+    )
+    board_risk: Optional[float] = Field(
+        default=None,
+        description="Board risk score.",
+    )
+    compensation_risk: Optional[float] = Field(
+        default=None,
+        description="Compensation risk score.",
+    )
+    shareholder_rights_risk: Optional[float] = Field(
+        default=None,
+        description="Shareholder rights risk score.",
+    )
+    beta: Optional[float] = Field(
+        default=None,
+        description="Beta relative to the broad market (5-year monthly).",
+    )
+    price_return_1y: Optional[float] = Field(
+        default=None,
+        description="One-year price return, as a normalized percent.",
+        json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
+    )
+    currency: Optional[str] = Field(
+        default=None,
+        description="Currency in which the data is presented.",
+    )
+
+    @field_validator("dividend_yield_5y_avg")
+    @classmethod
+    def normalize_percent(cls, v: float):
+        """Normalize the percent values."""
+        return float(v) / 100 if v else None
+
+
+class YFinanceKeyMetricsFetcher(
+    Fetcher[YFinanceKeyMetricsQueryParams, List[YFinanceKeyMetricsData]]
+):
+    """YFinance Key Metrics fetcher."""
+
+    @staticmethod
+    def transform_query(params: Dict[str, Any]) -> YFinanceKeyMetricsQueryParams:
+        """Transform the query."""
+        return YFinanceKeyMetricsQueryParams(**params)
+
+    @staticmethod
+    async def aextract_data(
+        query: YFinanceKeyMetricsQueryParams,
+        credentials: Optional[Dict[str, str]],
+        **kwargs: Any,
+    ) -> List[Dict]:
+        """Extract the raw data from YFinance."""
+        # pylint: disable=import-outside-toplevel
+        import asyncio  # noqa
+        from curl_adapter import CurlCffiAdapter
+        from openbb_core.app.model.abstract.error import OpenBBError
+        from openbb_core.provider.utils.errors import EmptyDataError
+        from openbb_core.provider.utils.helpers import get_requests_session
+        from warnings import warn
+        from yfinance import Ticker
+
+        symbols = query.symbol.split(",")
+        results = []
+        fields = [
+            "symbol",
+            "marketCap",
+            "trailingPE",
+            "forwardPE",
+            "pegRatio",
+            "trailingPegRatio",
+            "earningsQuarterlyGrowth",
+            "earningsGrowth",
+            "revenuePerShare",
+            "revenueGrowth",
+            "cashPerShare",
+            "quickRatio",
+            "currentRatio",
+            "debtToEquity",
+            "grossMargins",
+            "ebitdaMargins",
+            "operatingMargins",
+            "profitMargins",
+            "returnOnAssets",
+            "returnOnEquity",
+            "dividendYield",
+            "fiveYearAvgDividendYield",
+            "payoutRatio",
+            "bookValue",
+            "priceToBook",
+            "enterpriseValue",
+            "enterpriseToRevenue",
+            "enterpriseToEbitda",
+            "overallRisk",
+            "auditRisk",
+            "boardRisk",
+            "compensationRisk",
+            "shareHolderRightsRisk",
+            "beta",
+            "52WeekChange",
+            "financialCurrency",
+        ]
+        messages: list = []
+        session = get_requests_session()
+        session.mount("https://", CurlCffiAdapter())
+        session.mount("http://", CurlCffiAdapter())
+
+        async def get_one(symbol):
+            """Get the data for one ticker symbol."""
+            result: dict = {}
+            ticker: dict = {}
+            try:
+                ticker = Ticker(
+                    symbol,
+                    session=session,
+                ).get_info()
+            except Exception as e:
+                messages.append(
+                    f"Error getting data for {symbol} -> {e.__class__.__name__}: {e}"
+                )
+            if not ticker:
+                messages.append(f"No data found for {symbol}")
+            elif ticker:
+                for field in fields:
+                    if field in ticker:
+                        result[field] = ticker.get(field, None)
+                if result and result.get("52WeekChange") is not None:
+                    results.append(result)
+
+        tasks = [get_one(symbol) for symbol in symbols]
+
+        await asyncio.gather(*tasks)
+
+        if not results and not messages:
+            raise EmptyDataError("No data was returned for the given symbol(s).")
+
+        if not results and messages:
+            raise OpenBBError("\n".join(messages))
+
+        if results and messages:
+            for message in messages:
+                warn(message)
+
+        return results
+
+    @staticmethod
+    def transform_data(
+        query: YFinanceKeyMetricsQueryParams,
+        data: List[Dict],
+        **kwargs: Any,
+    ) -> List[YFinanceKeyMetricsData]:
+        """Transform the data."""
+        return [YFinanceKeyMetricsData.model_validate(d) for d in data]

openbb_platform/providers/yfinance/openbb_yfinance/models/losers.py

@@ -0,0 +1,90 @@
+"""Yahoo Finance Top Losers Model."""
+
+# pylint: disable=unused-argument
+
+from typing import Any, Optional
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.equity_performance import (
+    EquityPerformanceQueryParams,
+)
+from openbb_yfinance.utils.references import YFPredefinedScreenerData
+from pydantic import Field
+
+
+class YFLosersQueryParams(EquityPerformanceQueryParams):
+    """Yahoo Finance Losers Query.
+
+    Source: https://finance.yahoo.com/screener/predefined/day_losers
+    """
+
+    limit: Optional[int] = Field(
+        default=200,
+        description="Limit the number of results.",
+    )
+
+
+class YFLosersData(YFPredefinedScreenerData):
+    """Yahoo Finance Losers Data."""
+
+
+class YFLosersFetcher(Fetcher[YFLosersQueryParams, list[YFLosersData]]):
+    """Yahoo Finance Losers Fetcher."""
+
+    @staticmethod
+    def transform_query(params: dict[str, Any]) -> YFLosersQueryParams:
+        """Transform query params."""
+        return YFLosersQueryParams(**params)
+
+    @staticmethod
+    async def aextract_data(
+        query: YFLosersQueryParams,
+        credentials: Optional[dict[str, str]],
+        **kwargs: Any,
+    ) -> list[dict]:
+        """Get data from YF."""
+        # pylint: disable=import-outside-toplevel
+        from openbb_yfinance.utils.helpers import get_custom_screener
+
+        body = {
+            "offset": 0,
+            "size": 250,
+            "sortField": "percentchange",
+            "sortType": "asc",
+            "quoteType": "equity",
+            "query": {
+                "operator": "and",
+                "operands": [
+                    {"operator": "gt", "operands": ["intradaymarketcap", 500000000]},
+                    {
+                        "operator": "or",
+                        "operands": [
+                            {"operator": "eq", "operands": ["exchange", "NMS"]},
+                            {"operator": "eq", "operands": ["exchange", "NYQ"]},
+                        ],
+                    },
+                    {"operator": "gt", "operands": ["percentchange", -3]},
+                    {"operator": "gt", "operands": ["intradayprice", 5]},
+                ],
+            },
+            "userId": "",
+            "userIdType": "guid",
+        }
+
+        return await get_custom_screener(body=body, limit=query.limit)
+
+    @staticmethod
+    def transform_data(
+        query: EquityPerformanceQueryParams,
+        data: list[dict],
+        **kwargs: Any,
+    ) -> list[YFLosersData]:
+        """Transform data."""
+        return [
+            YFLosersData.model_validate(d)
+            for d in sorted(
+                data,
+                key=lambda x: x["regularMarketChangePercent"],
+                reverse=query.sort == "desc",
+            )
+        ]

openbb_platform/providers/yfinance/openbb_yfinance/models/options_chains.py

@@ -0,0 +1,191 @@
+"""YFinance Options Chains Model."""
+
+# pylint: disable=unused-argument
+
+from datetime import datetime
+from typing import Any, Dict, List, Optional, Union
+
+from openbb_core.app.model.abstract.error import OpenBBError
+from openbb_core.provider.abstract.annotated_result import AnnotatedResult
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.options_chains import (
+    OptionsChainsData,
+    OptionsChainsQueryParams,
+)
+from openbb_core.provider.utils.errors import EmptyDataError
+from pydantic import Field
+
+
+class YFinanceOptionsChainsQueryParams(OptionsChainsQueryParams):
+    """YFinance Options Chains Query Parameters."""
+
+
+class YFinanceOptionsChainsData(OptionsChainsData):
+    """YFinance Options Chains Data."""
+
+    __doc__ = OptionsChainsData.__doc__
+    __alias_dict__ = {
+        "contract_symbol": "contractSymbol",
+        "last_trade_time": "lastTradeDate",
+        "last_trade_price": "lastPrice",
+        "change_percent": "percentChange",
+        "open_interest": "openInterest",
+        "implied_volatility": "impliedVolatility",
+        "in_the_money": "inTheMoney",
+    }
+
+    in_the_money: List[Union[bool, None]] = Field(
+        default_factory=list,
+        description="Whether the option is in the money.",
+    )
+    currency: List[Union[str, None]] = Field(
+        default_factory=list,
+        description="Currency of the option.",
+    )
+
+
+class YFinanceOptionsChainsFetcher(
+    Fetcher[YFinanceOptionsChainsQueryParams, YFinanceOptionsChainsData]
+):
+    """YFinance Options Chains Fetcher."""
+
+    @staticmethod
+    def transform_query(params: Dict[str, Any]) -> YFinanceOptionsChainsQueryParams:
+        """Transform the query."""
+        return YFinanceOptionsChainsQueryParams(**params)
+
+    @staticmethod
+    async def aextract_data(
+        query: YFinanceOptionsChainsQueryParams,
+        credentials: Optional[Dict[str, str]],
+        **kwargs: Any,
+    ) -> Dict:
+        """Extract the raw data from YFinance."""
+        # pylint: disable=import-outside-toplevel
+        import asyncio  # noqa
+        from curl_adapter import CurlCffiAdapter
+        from openbb_core.provider.utils.helpers import get_requests_session
+        from pandas import concat
+        from yfinance import Ticker
+        from pytz import timezone
+
+        symbol = query.symbol.upper()
+        symbol = "^" + symbol if symbol in ["VIX", "RUT", "SPX", "NDX"] else symbol
+        session = get_requests_session()
+        session.mount("https://", CurlCffiAdapter())
+        session.mount("http://", CurlCffiAdapter())
+        ticker = Ticker(
+            symbol,
+            session=session,
+        )
+        expirations = list(ticker.options)
+
+        if not expirations or len(expirations) == 0:
+            raise OpenBBError(f"No options found for {symbol}")
+
+        chains_output: List = []
+        underlying = ticker.option_chain(expirations[0])[2]
+        underlying_output: Dict = {
+            "symbol": symbol,
+            "name": underlying.get("longName"),
+            "exchange": underlying.get("fullExchangeName"),
+            "exchange_tz": underlying.get("exchangeTimezoneName"),
+            "currency": underlying.get("currency"),
+            "bid": underlying.get("bid"),
+            "bid_size": underlying.get("bidSize"),
+            "ask": underlying.get("ask"),
+            "ask_size": underlying.get("askSize"),
+            "last_price": underlying.get(
+                "postMarketPrice", underlying.get("regularMarketPrice")
+            ),
+            "open": underlying.get("regularMarketOpen"),
+            "high": underlying.get("regularMarketDayHigh"),
+            "low": underlying.get("regularMarketDayLow"),
+            "close": underlying.get("regularMarketPrice"),
+            "prev_close": underlying.get("regularMarketPreviousClose"),
+            "change": underlying.get("regularMarketChange"),
+            "change_percent": underlying.get("regularMarketChangePercent"),
+            "volume": underlying.get("regularMarketVolume"),
+            "dividend_yield": float(underlying.get("dividendYield", 0)) / 100,
+            "dividend_yield_ttm": underlying.get("trailingAnnualDividendYield"),
+            "year_high": underlying.get("fiftyTwoWeekHigh"),
+            "year_low": underlying.get("fiftyTwoWeekLow"),
+            "ma_50": underlying.get("fiftyDayAverage"),
+            "ma_200": underlying.get("twoHundredDayAverage"),
+            "volume_avg_10d": underlying.get("averageDailyVolume10Day"),
+            "volume_avg_3m": underlying.get("averageDailyVolume3Month"),
+            "market_cap": underlying.get("marketCap"),
+            "shares_outstanding": underlying.get("sharesOutstanding"),
+        }
+        tz = timezone(underlying_output.get("exchange_tz", "UTC"))
+
+        underlying_price = underlying_output.get("last_price")
+
+        async def get_chain(ticker, expiration, tz, underlying_price):
+            """Get the data for one expiration."""
+            exp = datetime.strptime(expiration, "%Y-%m-%d").date()
+            now = datetime.now().date()
+            dte = (exp - now).days
+            calls = ticker.option_chain(expiration, tz=tz)[0]
+            calls["option_type"] = "call"
+            calls["expiration"] = expiration
+            puts = ticker.option_chain(expiration, tz=tz)[1]
+            puts["option_type"] = "put"
+            puts["expiration"] = expiration
+            chain = concat([calls, puts])
+            chain = (
+                chain.set_index(["strike", "option_type", "contractSymbol"])
+                .sort_index()
+                .reset_index()
+            )
+            chain = chain.drop(columns=["contractSize"])
+            chain["dte"] = dte
+            if underlying_price is not None:
+                chain["underlying_price"] = underlying_price
+                chain["underlying_symbol"] = symbol
+            chain["percentChange"] = chain["percentChange"] / 100
+
+            if len(chain) > 0:
+                chains_output.extend(
+                    chain.fillna("N/A").replace("N/A", None).to_dict("records")
+                )
+
+        await asyncio.gather(
+            *[
+                get_chain(ticker, expiration, tz, underlying_price)
+                for expiration in expirations
+            ]
+        )
+
+        if not chains_output:
+            raise EmptyDataError(f"No data was returned for {symbol}")
+
+        return {"underlying": underlying_output, "chains": chains_output}
+
+    @staticmethod
+    def transform_data(
+        query: YFinanceOptionsChainsQueryParams,
+        data: Dict,
+        **kwargs: Any,
+    ) -> AnnotatedResult[YFinanceOptionsChainsData]:
+        """Transform the data."""
+        # pylint: disable=import-outside-toplevel
+        from numpy import nan
+        from pandas import DataFrame
+
+        if not data:
+            raise EmptyDataError()
+        metadata = data.get("underlying", {})
+        records = data.get("chains", [])
+        output = DataFrame(records)
+        for col in ["volume", "openInterest"]:
+            output[col] = (
+                output[col].infer_objects(copy=False).replace({nan: 0}).astype("int64")
+            )
+
+        output = output.replace({nan: None})
+
+        return AnnotatedResult(
+            result=YFinanceOptionsChainsData.model_validate(output.to_dict("list")),
+            metadata=metadata,
+        )

openbb_platform/providers/yfinance/openbb_yfinance/models/price_target_consensus.py

@@ -0,0 +1,156 @@
+"""YFinance Price Target Consensus Model."""
+
+# pylint: disable=unused-argument
+
+from typing import Any, Dict, List, Optional
+
+from openbb_core.app.model.abstract.error import OpenBBError
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.price_target_consensus import (
+    PriceTargetConsensusData,
+    PriceTargetConsensusQueryParams,
+)
+from pydantic import Field, field_validator
+
+
+class YFinancePriceTargetConsensusQueryParams(PriceTargetConsensusQueryParams):
+    """YFinance Price Target Consensus Query."""
+
+    __json_schema_extra__ = {"symbol": {"multiple_items_allowed": True}}
+
+    @field_validator("symbol", mode="before", check_fields=False)
+    @classmethod
+    def check_symbol(cls, value):
+        """Check the symbol."""
+        if not value:
+            raise OpenBBError("Error: Symbol is a required field for yFinance.")
+        return value
+
+
+class YFinancePriceTargetConsensusData(PriceTargetConsensusData):
+    """YFinance Price Target Consensus Data."""
+
+    __alias_dict__ = {
+        "target_high": "targetHighPrice",
+        "target_low": "targetLowPrice",
+        "target_consensus": "targetMeanPrice",
+        "target_median": "targetMedianPrice",
+        "recommendation": "recommendationKey",
+        "recommendation_mean": "recommendationMean",
+        "number_of_analysts": "numberOfAnalystOpinions",
+        "current_price": "currentPrice",
+    }
+
+    recommendation: Optional[str] = Field(
+        default=None,
+        description="Recommendation - buy, sell, etc.",
+    )
+    recommendation_mean: Optional[float] = Field(
+        default=None,
+        description="Mean recommendation score where 1 is strong buy and 5 is strong sell.",
+    )
+    number_of_analysts: Optional[int] = Field(
+        default=None, description="Number of analysts providing opinions."
+    )
+    current_price: Optional[float] = Field(
+        default=None,
+        description="Current price of the stock.",
+    )
+    currency: Optional[str] = Field(
+        default=None,
+        description="Currency the stock is priced in.",
+    )
+
+
+class YFinancePriceTargetConsensusFetcher(
+    Fetcher[
+        YFinancePriceTargetConsensusQueryParams, List[YFinancePriceTargetConsensusData]
+    ]
+):
+    """YFinance Price Target Consensus Fetcher."""
+
+    @staticmethod
+    def transform_query(
+        params: Dict[str, Any],
+    ) -> YFinancePriceTargetConsensusQueryParams:
+        """Transform the query."""
+        return YFinancePriceTargetConsensusQueryParams(**params)
+
+    @staticmethod
+    async def aextract_data(
+        query: YFinancePriceTargetConsensusQueryParams,
+        credentials: Optional[Dict[str, str]],
+        **kwargs: Any,
+    ) -> List[Dict]:
+        """Extract the raw data from YFinance."""
+        # pylint: disable=import-outside-toplevel
+        import asyncio  # noqa
+        from curl_adapter import CurlCffiAdapter
+        from openbb_core.provider.utils.errors import EmptyDataError
+        from openbb_core.provider.utils.helpers import get_requests_session
+        from warnings import warn
+        from yfinance import Ticker
+
+        symbols = query.symbol.split(",")  # type: ignore
+        results = []
+        fields = [
+            "symbol",
+            "currentPrice",
+            "currency",
+            "targetHighPrice",
+            "targetLowPrice",
+            "targetMeanPrice",
+            "targetMedianPrice",
+            "recommendationMean",
+            "recommendationKey",
+            "numberOfAnalystOpinions",
+        ]
+        session = get_requests_session()
+        session.mount("https://", CurlCffiAdapter())
+        session.mount("http://", CurlCffiAdapter())
+        messages: list = []
+
+        async def get_one(symbol):
+            """Get the data for one ticker symbol."""
+            result: dict = {}
+            ticker: dict = {}
+            try:
+                ticker = Ticker(
+                    symbol,
+                    session=session,
+                ).get_info()
+            except Exception as e:
+                messages.append(
+                    f"Error getting data for {symbol}: {e.__class__.__name__}: {e}"
+                )
+            if ticker:
+                for field in fields:
+                    if field in ticker:
+                        result[field] = ticker.get(field, None)
+                if result and result.get("numberOfAnalystOpinions") is not None:
+                    results.append(result)
+
+        tasks = [get_one(symbol) for symbol in symbols]
+
+        await asyncio.gather(*tasks)
+
+        if not results and not messages:
+            raise EmptyDataError("No data was returned for the given symbol(s)")
+
+        if not results and messages:
+            raise OpenBBError("\n".join(messages))
+
+        if results and messages:
+            for message in messages:
+                warn(message)
+
+        return results
+
+    @staticmethod
+    def transform_data(
+        query: YFinancePriceTargetConsensusQueryParams,
+        data: List[Dict],
+        **kwargs: Any,
+    ) -> List[YFinancePriceTargetConsensusData]:
+        """Transform the data."""
+        return [YFinancePriceTargetConsensusData.model_validate(d) for d in data]

openbb_platform/providers/yfinance/openbb_yfinance/models/share_statistics.py

@@ -0,0 +1,196 @@
+"""YFinance Share Statistics Model."""
+
+# pylint: disable=unused-argument
+
+from datetime import (
+    date as dateType,
+    datetime,
+    timezone,
+)
+from typing import Any, Dict, List, Optional
+from warnings import warn
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.share_statistics import (
+    ShareStatisticsData,
+    ShareStatisticsQueryParams,
+)
+from pydantic import Field, field_validator
+
+
+class YFinanceShareStatisticsQueryParams(ShareStatisticsQueryParams):
+    """YFinance Share Statistics Query."""
+
+    __json_schema_extra__ = {"symbol": {"multiple_items_allowed": True}}
+
+
+class YFinanceShareStatisticsData(ShareStatisticsData):
+    """YFinance Share Statistics Data."""
+
+    __alias_dict__ = {
+        "outstanding_shares": "sharesOutstanding",
+        "float_shares": "floatShares",
+        "date": "dateShortInterest",
+        "implied_shares_outstanding": "impliedSharesOutstanding",
+        "short_interest": "sharesShort",
+        "short_percent_of_float": "shortPercentOfFloat",
+        "days_to_cover": "shortRatio",
+        "short_interest_prev_month": "sharesShortPriorMonth",
+        "short_interest_prev_date": "sharesShortPreviousMonthDate",
+        "insider_ownership": "heldPercentInsiders",
+        "institution_ownership": "heldPercentInstitutions",
+        "institution_float_ownership": "institutionsFloatPercentHeld",
+        "institutions_count": "institutionsCount",
+    }
+
+    implied_shares_outstanding: Optional[int] = Field(
+        default=None,
+        description="Implied Shares Outstanding of common equity,"
+        + " assuming the conversion of all convertible subsidiary equity into common.",
+    )
+    short_interest: Optional[int] = Field(
+        default=None,
+        description="Number of shares that are reported short.",
+    )
+    short_percent_of_float: Optional[float] = Field(
+        default=None,
+        description="Percentage of shares that are reported short, as a normalized percent.",
+        json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
+    )
+    days_to_cover: Optional[float] = Field(
+        default=None,
+        description="Number of days to repurchase the shares as a ratio of average daily volume",
+    )
+    short_interest_prev_month: Optional[int] = Field(
+        default=None,
+        description="Number of shares that were reported short in the previous month.",
+    )
+    short_interest_prev_date: Optional[dateType] = Field(
+        default=None,
+        description="Date of the previous month's report.",
+    )
+    insider_ownership: Optional[float] = Field(
+        default=None,
+        description="Percentage of shares held by insiders, as a normalized percent.",
+        json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
+    )
+    institution_ownership: Optional[float] = Field(
+        default=None,
+        description="Percentage of shares held by institutions, as a normalized percent.",
+        json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
+    )
+    institution_float_ownership: Optional[float] = Field(
+        default=None,
+        description="Percentage of float held by institutions, as a normalized percent.",
+        json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
+    )
+    institutions_count: Optional[int] = Field(
+        default=None,
+        description="Number of institutions holding shares.",
+    )
+
+    @field_validator(
+        "date", "short_interest_prev_date", mode="before", check_fields=False
+    )
+    @classmethod
+    def validate_first_trade_date(cls, v):
+        """Convert dates from UTC timestamp."""
+        return datetime.fromtimestamp(v, timezone.utc).date() if v else None
+
+
+class YFinanceShareStatisticsFetcher(
+    Fetcher[YFinanceShareStatisticsQueryParams, List[YFinanceShareStatisticsData]]
+):
+    """YFinance Share Statistics Fetcher."""
+
+    @staticmethod
+    def transform_query(params: Dict[str, Any]) -> YFinanceShareStatisticsQueryParams:
+        """Transform the query."""
+        return YFinanceShareStatisticsQueryParams(**params)
+
+    @staticmethod
+    async def aextract_data(
+        query: YFinanceShareStatisticsQueryParams,
+        credentials: Optional[Dict[str, str]],
+        **kwargs: Any,
+    ) -> List[Dict]:
+        """Extract the raw data from YFinance."""
+        # pylint: disable=import-outside-toplevel
+        import asyncio  # noqa
+        from curl_adapter import CurlCffiAdapter
+        from openbb_core.app.model.abstract.error import OpenBBError
+        from openbb_core.provider.utils.errors import EmptyDataError
+        from openbb_core.provider.utils.helpers import get_requests_session
+        from yfinance import Ticker
+
+        symbols = query.symbol.split(",")
+        results = []
+        fields = [
+            "symbol",
+            "sharesOutstanding",
+            "floatShares",
+            "impliedSharesOutstanding",
+            "sharesShort",
+            "sharesShortPriorMonth",
+            "sharesShortPreviousMonthDate",
+            "shortRatio",
+            "shortPercentOfFloat",
+            "dateShortInterest",
+            "heldPercentInsiders",
+            "heldPercentInstitutions",
+            "institutionsFloatPercentHeld",
+            "institutionsCount",
+        ]
+        session = get_requests_session()
+        session.mount("https://", CurlCffiAdapter())
+        session.mount("http://", CurlCffiAdapter())
+        messages: list = []
+
+        async def get_one(symbol):
+            """Get the data for one ticker symbol."""
+            result: dict = {}
+            ticker: dict = {}
+            try:
+                _ticker = Ticker(
+                    symbol,
+                    session=session,
+                )
+                ticker = _ticker.get_info()
+                major_holders = _ticker.get_major_holders(as_dict=True).get("Value")
+                if major_holders:
+                    ticker.update(major_holders)  # type: ignore
+            except Exception as e:
+                messages.append(
+                    f"Error getting data for {symbol} -> {e.__class__.__name__}: {e}"
+                )
+            if ticker:
+                for field in fields:
+                    if field in ticker:
+                        result[field] = ticker.get(field, None)
+                if result and result.get("sharesOutstanding") is not None:
+                    results.append(result)
+
+        tasks = [get_one(symbol) for symbol in symbols]
+
+        await asyncio.gather(*tasks)
+
+        if not results and messages:
+            raise OpenBBError("\n".join(messages))
+
+        if not results and not messages:
+            raise EmptyDataError("No data was returned for the given symbol(s).")
+
+        if results and messages:
+            for message in messages:
+                warn(message)
+
+        return results
+
+    @staticmethod
+    def transform_data(
+        query: YFinanceShareStatisticsQueryParams,
+        data: List[Dict],
+        **kwargs: Any,
+    ) -> List[YFinanceShareStatisticsData]:
+        """Transform the data."""
+        return [YFinanceShareStatisticsData.model_validate(d) for d in data]

openbb_platform/providers/yfinance/openbb_yfinance/models/undervalued_growth_equities.py

@@ -0,0 +1,100 @@
+"""Yahoo Finance Asset Undervalued Growth Tech Equities Model."""
+
+# pylint: disable=unused-argument
+
+from typing import Any, Optional
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.equity_performance import (
+    EquityPerformanceQueryParams,
+)
+from openbb_yfinance.utils.references import YFPredefinedScreenerData
+from pydantic import Field
+
+
+class YFUndervaluedGrowthEquitiesQueryParams(EquityPerformanceQueryParams):
+    """Yahoo Finance Undervalued Growth Stocks Query.
+
+    Source: https://finance.yahoo.com/screener/predefined/undervalued_growth_stocks
+    """
+
+    limit: Optional[int] = Field(
+        default=200,
+        description="Limit the number of results.",
+    )
+
+
+class YFUndervaluedGrowthEquitiesData(YFPredefinedScreenerData):
+    """Yahoo Finance Undervalued Growth Stocks Data."""
+
+
+class YFUndervaluedGrowthEquitiesFetcher(
+    Fetcher[
+        YFUndervaluedGrowthEquitiesQueryParams, list[YFUndervaluedGrowthEquitiesData]
+    ]
+):
+    """Yahoo Finance Undervalued Growth Stocks Fetcher."""
+
+    @staticmethod
+    def transform_query(
+        params: dict[str, Any],
+    ) -> YFUndervaluedGrowthEquitiesQueryParams:
+        """Transform query params."""
+        return YFUndervaluedGrowthEquitiesQueryParams(**params)
+
+    @staticmethod
+    async def aextract_data(
+        query: YFUndervaluedGrowthEquitiesQueryParams,
+        credentials: Optional[dict[str, str]],
+        **kwargs: Any,
+    ) -> list[dict]:
+        """Get data from YF."""
+        # pylint: disable=import-outside-toplevel
+        from openbb_yfinance.utils.helpers import get_custom_screener
+
+        body = {
+            "offset": 0,
+            "size": 250,
+            "sortField": "eodvolume",
+            "sortType": "desc",
+            "quoteType": "equity",
+            "query": {
+                "operator": "and",
+                "operands": [
+                    {"operator": "gt", "operands": ["intradaymarketcap", 500000000]},
+                    {
+                        "operator": "or",
+                        "operands": [
+                            {"operator": "eq", "operands": ["exchange", "NMS"]},
+                            {"operator": "eq", "operands": ["exchange", "NYQ"]},
+                        ],
+                    },
+                    {
+                        "operator": "btwn",
+                        "operands": ["peratio.lasttwelvemonths", 0, 20],
+                    },
+                    {"operator": "lt", "operands": ["pegratio_5y", 1]},
+                    {"operator": "gte", "operands": ["epsgrowth.lasttwelvemonths", 25]},
+                ],
+            },
+            "userId": "",
+            "userIdType": "guid",
+        }
+
+        return await get_custom_screener(body=body, limit=query.limit)
+
+    @staticmethod
+    def transform_data(
+        query: EquityPerformanceQueryParams,
+        data: list[dict],
+        **kwargs: Any,
+    ) -> list[YFUndervaluedGrowthEquitiesData]:
+        """Transform data."""
+        return [
+            YFUndervaluedGrowthEquitiesData.model_validate(d)
+            for d in sorted(
+                data,
+                key=lambda x: x["regularMarketChangePercent"],
+                reverse=query.sort == "desc",
+            )
+        ]

openbb_platform/providers/yfinance/openbb_yfinance/models/undervalued_large_caps.py

@@ -0,0 +1,96 @@
+"""Yahoo Finance Asset Undervalued Large Caps Model."""
+
+# pylint: disable=unused-argument
+
+from typing import Any, Optional
+
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.equity_performance import (
+    EquityPerformanceQueryParams,
+)
+from openbb_yfinance.utils.references import YFPredefinedScreenerData
+from pydantic import Field
+
+
+class YFUndervaluedLargeCapsQueryParams(EquityPerformanceQueryParams):
+    """Yahoo Finance Undervalued Large Caps Query.
+
+    Source: https://finance.yahoo.com/screener/predefined/undervalued_large_caps
+    """
+
+    limit: Optional[int] = Field(
+        default=200,
+        description="Limit the number of results.",
+    )
+
+
+class YFUndervaluedLargeCapsData(YFPredefinedScreenerData):
+    """Yahoo Finance Undervalued Large Caps Data."""
+
+
+class YFUndervaluedLargeCapsFetcher(
+    Fetcher[YFUndervaluedLargeCapsQueryParams, list[YFUndervaluedLargeCapsData]]
+):
+    """Yahoo Finance Undervalued Large Caps Fetcher."""
+
+    @staticmethod
+    def transform_query(params: dict[str, Any]) -> YFUndervaluedLargeCapsQueryParams:
+        """Transform query params."""
+        return YFUndervaluedLargeCapsQueryParams(**params)
+
+    @staticmethod
+    async def aextract_data(
+        query: YFUndervaluedLargeCapsQueryParams,
+        credentials: Optional[dict[str, str]],
+        **kwargs: Any,
+    ) -> list[dict]:
+        """Get data from YF."""
+        # pylint: disable=import-outside-toplevel
+        from openbb_yfinance.utils.helpers import get_custom_screener
+
+        body = {
+            "offset": 0,
+            "size": 250,
+            "sortField": "eodvolume",
+            "sortType": "desc",
+            "quoteType": "equity",
+            "query": {
+                "operator": "and",
+                "operands": [
+                    {"operator": "gt", "operands": ["intradaymarketcap", 10000000000]},
+                    {
+                        "operator": "or",
+                        "operands": [
+                            {"operator": "eq", "operands": ["exchange", "NMS"]},
+                            {"operator": "eq", "operands": ["exchange", "NYQ"]},
+                        ],
+                    },
+                    {
+                        "operator": "btwn",
+                        "operands": ["peratio.lasttwelvemonths", 0, 20],
+                    },
+                    {"operator": "lt", "operands": ["pegratio_5y", 1]},
+                    {"operator": "gte", "operands": ["epsgrowth.lasttwelvemonths", 25]},
+                ],
+            },
+            "userId": "",
+            "userIdType": "guid",
+        }
+
+        return await get_custom_screener(body=body, limit=query.limit)
+
+    @staticmethod
+    def transform_data(
+        query: EquityPerformanceQueryParams,
+        data: list[dict],
+        **kwargs: Any,
+    ) -> list[YFUndervaluedLargeCapsData]:
+        """Transform data."""
+        return [
+            YFUndervaluedLargeCapsData.model_validate(d)
+            for d in sorted(
+                data,
+                key=lambda x: x["regularMarketChangePercent"],
+                reverse=query.sort == "desc",
+            )
+        ]