[Feature] Adds Empire State Manufacturing Survey (FRED) (#7086)

* add empire state manufacturing survey from fred * lint * lint * set sa default as False * test * test cassettes
2026-11-06 17:31:53 +00:00 · 2025-04-18 00:08:55 -07:00
parent 841ef1cbf5
commit 51f19eba6e
10 changed files with 3021 additions and 171 deletions
--- a/openbb_platform/extensions/economy/integration/test_economy_api.py
+++ b/openbb_platform/extensions/economy/integration/test_economy_api.py
@@ -118,7 +118,7 @@ def test_economy_cpi(params, headers):

@parametrize(
    "params",
-    [({"provider": "fmp"})],
+    [{"provider": "fmp"}],
 )
@pytest.mark.integration
 def test_economy_risk_premium(params, headers):
@@ -939,7 +939,7 @@ def test_economy_survey_economic_conditions_chicago(params, headers):
        (
            {
                "provider": "fred",
-                "topic": "business_outlook,new_orders",
+                "topic": "new_orders",
                "start_date": "2024-01-01",
                "end_date": "2024-04-01",
                "transform": None,
@@ -961,6 +961,34 @@ def test_economy_survey_manufacturing_outlook_texas(params, headers):
    assert result.status_code == 200


+@parametrize(
+    "params",
+    [
+        (
+            {
+                "provider": "fred",
+                "topic": "new_orders",
+                "start_date": "2024-01-01",
+                "end_date": "2024-04-01",
+                "transform": None,
+                "aggregation_method": None,
+                "frequency": None,
+            }
+        ),
+    ],
+)
+@pytest.mark.integration
+def test_economy_survey_manufacturing_outlook_ny(params, headers):
+    """Test the economy survey manufacturing outlook ny endpoint"""
+    params = {p: v for p, v in params.items() if v}
+
+    query_str = get_querystring(params, [])
+    url = f"http://0.0.0.0:8000/api/v1/economy/survey/manufacturing_outlook_ny?{query_str}"
+    result = requests.get(url, headers=headers, timeout=10)
+    assert isinstance(result, requests.Response)
+    assert result.status_code == 200
+
+
@parametrize(
    "params",
    [
--- a/openbb_platform/extensions/economy/integration/test_economy_python.py
+++ b/openbb_platform/extensions/economy/integration/test_economy_python.py
@@ -904,7 +904,7 @@ def test_economy_survey_economic_conditions_chicago(params, obb):
        (
            {
                "provider": "fred",
-                "topic": "business_outlook,new_orders",
+                "topic": "new_orders",
                "start_date": "2024-01-01",
                "end_date": "2024-04-01",
                "transform": None,
@@ -925,6 +925,33 @@ def test_economy_survey_manufacturing_outlook_texas(params, obb):
    assert len(result.results) > 0


+@parametrize(
+    "params",
+    [
+        (
+            {
+                "provider": "fred",
+                "topic": "new_orders",
+                "start_date": "2024-01-01",
+                "end_date": "2024-04-01",
+                "transform": None,
+                "aggregation_method": None,
+                "frequency": None,
+            }
+        ),
+    ],
+)
+@pytest.mark.integration
+def test_economy_survey_manufacturing_outlook_ny(params, obb):
+    """Test the economy survey manufacturing outlook ny endpoint"""
+    params = {p: v for p, v in params.items() if v}
+
+    result = obb.economy.survey.manufacturing_outlook_ny(**params)
+    assert result
+    assert isinstance(result, OBBject)
+    assert len(result.results) > 0
+
+
@parametrize(
    "params",
    [
--- a/openbb_platform/extensions/economy/openbb_economy/survey/survey_router.py
+++ b/openbb_platform/extensions/economy/openbb_economy/survey/survey_router.py
@@ -133,6 +133,49 @@ async def manufacturing_outlook_texas(
    return await OBBject.from_query(Query(**locals()))


+@router.command(
+    model="ManufacturingOutlookNY",
+    examples=[
+        APIEx(parameters={"provider": "fred"}),
+        APIEx(
+            parameters={
+                "topic": "hours_worked,new_orders",
+                "transform": "pc1",
+                "provider": "fred",
+                "seasonally_adjusted": True,
+            }
+        ),
+    ],
+    openapi_extra={
+        "widget_config": {
+            "name": "Empire State Manufacturing Survey",
+        }
+    },
+)
+async def manufacturing_outlook_ny(
+    cc: CommandContext,
+    provider_choices: ProviderChoices,
+    standard_params: StandardParams,
+    extra_params: ExtraParams,
+) -> OBBject:
+    """Get the Empire State Manufacturing Survey.
+
+    It is a monthly survey of manufacturers in New York State conducted by the Federal Reserve Bank of New York.
+
+    Participants from across the state in a variety of industries respond to a questionnaire
+    and report the change in a variety of indicators from the previous month.
+
+    Respondents also state the likely direction of these same indicators six months ahead.
+    April 2002 is the first report, although survey data date back to July 2001.
+
+    The survey is sent on the first day of each month to the same pool of about 200
+    manufacturing executives in New York State, typically the president or CEO.
+
+    About 100 responses are received. Most are completed by the tenth, although surveys are accepted until the fifteenth.
+    """
+    return await OBBject.from_query(Query(**locals()))
+
+
@router.command(
    model="NonFarmPayrolls",
    examples=[
--- a/openbb_platform/openbb/assets/reference.json
+++ b/openbb_platform/openbb/assets/reference.json
--- a/openbb_platform/openbb/package/economy_survey.py
+++ b/openbb_platform/openbb/package/economy_survey.py
@@ -16,6 +16,7 @@ class ROUTER_economy_survey(Container):
    bls_search
    bls_series
    economic_conditions_chicago
+    manufacturing_outlook_ny
    manufacturing_outlook_texas
    nonfarm_payrolls
    sloos
@@ -399,6 +400,150 @@ class ROUTER_economy_survey(Container):
            )
        )

+    @exception_handler
+    @validate
+    def manufacturing_outlook_ny(
+        self,
+        start_date: Annotated[
+            Union[datetime.date, None, str],
+            OpenBBField(description="Start date of the data, in YYYY-MM-DD format."),
+        ] = None,
+        end_date: Annotated[
+            Union[datetime.date, None, str],
+            OpenBBField(description="End date of the data, in YYYY-MM-DD format."),
+        ] = None,
+        provider: Annotated[
+            Optional[Literal["fred"]],
+            OpenBBField(
+                description="The provider to use, by default None. If None, the priority list configured in the settings is used. Default priority: fred."
+            ),
+        ] = None,
+        **kwargs
+    ) -> OBBject:
+        """Get the Empire State Manufacturing Survey.
+
+        It is a monthly survey of manufacturers in New York State conducted by the Federal Reserve Bank of New York.
+
+        Participants from across the state in a variety of industries respond to a questionnaire
+        and report the change in a variety of indicators from the previous month.
+
+        Respondents also state the likely direction of these same indicators six months ahead.
+        April 2002 is the first report, although survey data date back to July 2001.
+
+        The survey is sent on the first day of each month to the same pool of about 200
+        manufacturing executives in New York State, typically the president or CEO.
+
+        About 100 responses are received. Most are completed by the tenth, although surveys are accepted until the fifteenth.
+
+
+        Parameters
+        ----------
+        provider : str
+            The provider to use, by default None. If None, the priority list configured in the settings is used. Default priority: fred.
+        start_date : Union[date, None, str]
+            Start date of the data, in YYYY-MM-DD format.
+        end_date : Union[date, None, str]
+            End date of the data, in YYYY-MM-DD format.
+        topic : Union[Literal['business_outlook', 'hours_worked', 'employment', 'inventories', 'prices_received', 'prices_paid', 'capex', 'unfilled_orders', 'new_orders', 'shipments', 'delivery_times'], str]
+            The topic for the survey response. Multiple comma separated items allowed. (provider: fred)
+        seasonally_adjusted : bool
+            Whether the data is seasonally adjusted, default is False (provider: fred)
+        frequency : Optional[Literal['quarter', 'annual']]
+            Frequency aggregation to convert monthly data to lower frequency. None is monthly. (provider: fred)
+        aggregation_method : Optional[Literal['avg', 'sum', 'eop']]
+            A key that indicates the aggregation method used for frequency aggregation.
+                    avg = Average
+                    sum = Sum
+                    eop = End of Period
+                     (provider: fred)
+        transform : Optional[Literal['chg', 'ch1', 'pch', 'pc1', 'pca', 'cch', 'cca', 'log']]
+            Transformation type
+                    None = No transformation
+                    chg = Change
+                    ch1 = Change from Year Ago
+                    pch = Percent Change
+                    pc1 = Percent Change from Year Ago
+                    pca = Compounded Annual Rate of Change
+                    cch = Continuously Compounded Rate of Change
+                    cca = Continuously Compounded Annual Rate of Change
+                    log = Natural Log
+                     (provider: fred)
+
+        Returns
+        -------
+        OBBject
+            results : list[ManufacturingOutlookNY]
+                Serializable results.
+            provider : Optional[str]
+                Provider name.
+            warnings : Optional[list[Warning_]]
+                list of warnings.
+            chart : Optional[Chart]
+                Chart object.
+            extra : Dict[str, Any]
+                Extra info.
+
+        ManufacturingOutlookNY
+        ----------------------
+        date : date
+            The date of the data.
+        topic : Optional[str]
+            Topic of the survey response.
+        diffusion_index : Optional[float]
+            Diffusion Index.
+        percent_reporting_increase : Optional[float]
+            Percent of respondents reporting an increase over the last month.
+        percent_reporting_decrease : Optional[float]
+            Percent of respondents reporting a decrease over the last month.
+        percent_reporting_no_change : Optional[float]
+            Percent of respondents reporting no change over the last month.
+
+        Examples
+        --------
+        >>> from openbb import obb
+        >>> obb.economy.survey.manufacturing_outlook_ny(provider='fred')
+        >>> obb.economy.survey.manufacturing_outlook_ny(topic='hours_worked,new_orders', transform='pc1', provider='fred', seasonally_adjusted=True)
+        """  # noqa: E501
+
+        return self._run(
+            "/economy/survey/manufacturing_outlook_ny",
+            **filter_inputs(
+                provider_choices={
+                    "provider": self._get_provider(
+                        provider,
+                        "economy.survey.manufacturing_outlook_ny",
+                        ("fred",),
+                    )
+                },
+                standard_params={
+                    "start_date": start_date,
+                    "end_date": end_date,
+                },
+                extra_params=kwargs,
+                info={
+                    "topic": {
+                        "fred": {
+                            "multiple_items_allowed": True,
+                            "choices": [
+                                "business_outlook",
+                                "hours_worked",
+                                "employment",
+                                "inventories",
+                                "prices_received",
+                                "prices_paid",
+                                "capex",
+                                "unfilled_orders",
+                                "new_orders",
+                                "shipments",
+                                "delivery_times",
+                            ],
+                            "x-widget_config": {"value": "new_orders"},
+                        }
+                    }
+                },
+            )
+        )
+
    @exception_handler
    @validate
    def manufacturing_outlook_texas(
@@ -748,7 +893,7 @@ class ROUTER_economy_survey(Container):
            Start date of the data, in YYYY-MM-DD format.
        end_date : Union[date, None, str]
            End date of the data, in YYYY-MM-DD format.
-        frequency : Optional[Literal['annual', 'quarter']]
+        frequency : Optional[Literal['quarter', 'annual']]
            Frequency aggregation to convert monthly data to lower frequency. None is monthly. (provider: fred)
        aggregation_method : Optional[Literal['avg', 'sum', 'eop']]
            A key that indicates the aggregation method used for frequency aggregation.
--- a/openbb_platform/providers/fred/openbb_fred/init.py
+++ b/openbb_platform/providers/fred/openbb_fred/init.py
@@ -20,6 +20,9 @@ from openbb_fred.models.high_quality_market import (
 )
 from openbb_fred.models.ice_bofa import FREDICEBofAFetcher
 from openbb_fred.models.iorb_rates import FREDIORBFetcher
+from openbb_fred.models.manufacturing_outlook_ny import (
+    FredManufacturingOutlookNYFetcher,
+)
 from openbb_fred.models.manufacturing_outlook_texas import (
    FredManufacturingOutlookTexasFetcher,
 )
@@ -76,6 +79,7 @@ Research division of the Federal Reserve Bank of St. Louis that has more than
        "DiscountWindowPrimaryCreditRate": FREDDiscountWindowPrimaryCreditRateFetcher,
        "EuropeanCentralBankInterestRates": FREDEuropeanCentralBankInterestRatesFetcher,
        "ICEBofA": FREDICEBofAFetcher,
+        "ManufacturingOutlookNY": FredManufacturingOutlookNYFetcher,
        "ManufacturingOutlookTexas": FredManufacturingOutlookTexasFetcher,
        "MoodyCorporateBondIndex": FREDMoodyCorporateBondIndexFetcher,
        "MortgageIndices": FredMortgageIndicesFetcher,
--- a/openbb_platform/providers/fred/openbb_fred/models/manufacturing_outlook_ny.py
+++ b/openbb_platform/providers/fred/openbb_fred/models/manufacturing_outlook_ny.py
@@ -0,0 +1,557 @@
+"""FRED Manufacturing Outlook - New York - Model."""
+
+# pylint: disable=unused-argument
+
+from typing import Any, Literal, Optional, Union
+from warnings import warn
+
+from openbb_core.provider.abstract.annotated_result import AnnotatedResult
+from openbb_core.provider.abstract.fetcher import Fetcher
+from openbb_core.provider.standard_models.manufacturing_outlook_texas import (
+    ManufacturingOutlookTexasData,
+    ManufacturingOutlookTexasQueryParams,
+)
+from openbb_core.provider.utils.errors import EmptyDataError, OpenBBError
+from pydantic import Field, field_validator
+
+NY_MANUFACTURING_OUTLOOK = {
+    "current_hours_worked": {
+        "sa": {
+            "diffusion_index": "AWCDISA066MSFRBNY",
+            "percent_reporting_increase": "AWCISA156MSFRBNY",
+            "percent_reporting_decrease": "AWCDSA156MSFRBNY",
+            "percent_reporting_no_change": "AWCNSA156MSFRBNY",
+        },
+        "not_sa": {
+            "diffusion_index": "AWCDINA066MNFRBNY",
+            "percent_reporting_increase": "AWCINA156MNFRBNY",
+            "percent_reporting_decrease": "AWCDNA156MNFRBNY",
+            "percent_reporting_no_change": "AWCNNA156MNFRBNY",
+        },
+    },
+    "future_hours_worked": {
+        "sa": {
+            "diffusion_index": "AWFDISA066MSFRBNY",
+            "percent_reporting_increase": "AWFISA156MSFRBNY",
+            "percent_reporting_decrease": "AWFDSA156MSFRBNY",
+            "percent_reporting_no_change": "AWFNSA156MSFRBNY",
+        },
+        "not_sa": {
+            "diffusion_index": "AWFDINA066MNFRBNY",
+            "percent_reporting_increase": "AWFINA156MNFRBNY",
+            "percent_reporting_decrease": "AWFDNA156MNFRBNY",
+            "percent_reporting_no_change": "AWFNNA156MNFRBNY",
+        },
+    },
+    "current_business_outlook": {
+        "sa": {
+            "diffusion_index": "GACDISA066MSFRBNY",
+            "percent_reporting_increase": "GACISA156MSFRBNY",
+            "percent_reporting_decrease": "GACDSA156MSFRBNY",
+            "percent_reporting_no_change": "GACNSA156MSFRBNY",
+        },
+        "not_sa": {
+            "diffusion_index": "GACDINA066MNFRBNY",
+            "percent_reporting_increase": "GACINA156MNFRBNY",
+            "percent_reporting_decrease": "GACDNA156MNFRBNY",
+            "percent_reporting_no_change": "GACNNA156MNFRBNY",
+        },
+    },
+    "future_business_outlook": {
+        "sa": {
+            "diffusion_index": "GAFDISA066MSFRBNY",
+            "percent_reporting_increase": "GAFISA156MSFRBNY",
+            "percent_reporting_decrease": "GAFDSA156MSFRBNY",
+            "percent_reporting_no_change": "GAFNSA156MSFRBNY",
+        },
+        "not_sa": {
+            "diffusion_index": "GAFDINA066MNFRBNY",
+            "percent_reporting_increase": "GAFINA156MNFRBNY",
+            "percent_reporting_decrease": "GAFDNA156MNFRBNY",
+            "percent_reporting_no_change": "GAFNNA156MNFRBNY",
+        },
+    },
+    "current_employment": {
+        "sa": {
+            "diffusion_index": "NECDISA066MSFRBNY",
+            "percent_reporting_increase": "NECISA156MSFRBNY",
+            "percent_reporting_decrease": "NECDSA156MSFRBNY",
+            "percent_reporting_no_change": "NECNSA156MSFRBNY",
+        },
+        "not_sa": {
+            "diffusion_index": "NECDINA066MNFRBNY",
+            "percent_reporting_increase": "NECINA156MNFRBNY",
+            "percent_reporting_decrease": "NECDNA156MNFRBNY",
+            "percent_reporting_no_change": "NECNNA156MNFRBNY",
+        },
+    },
+    "future_employment": {
+        "sa": {
+            "diffusion_index": "NEFDISA066MSFRBNY",
+            "percent_reporting_increase": "NEFISA156MSFRBNY",
+            "percent_reporting_decrease": "NEFDSA156MSFRBNY",
+            "percent_reporting_no_change": "NEFNSA156MSFRBNY",
+        },
+        "not_sa": {
+            "diffusion_index": "NEFDINA066MNFRBNY",
+            "percent_reporting_increase": "NEFINA156MNFRBNY",
+            "percent_reporting_decrease": "NEFDNA156MNFRBNY",
+            "percent_reporting_no_change": "NEFNNA156MNFRBNY",
+        },
+    },
+    "current_inventories": {
+        "sa": {
+            "diffusion_index": "IVCDISA066MSFRBNY",
+            "percent_reporting_increase": "IVCISA156MSFRBNY",
+            "percent_reporting_decrease": "IVCDSA156MSFRBNY",
+            "percent_reporting_no_change": "IVCNSA156MSFRBNY",
+        },
+        "not_sa": {
+            "diffusion_index": "IVCDINA066MNFRBNY",
+            "percent_reporting_increase": "IVCINA156MNFRBNY",
+            "percent_reporting_decrease": "IVCDNA156MNFRBNY",
+            "percent_reporting_no_change": "IVCNNA156MNFRBNY",
+        },
+    },
+    "future_inventories": {
+        "sa": {
+            "diffusion_index": "IVFDISA066MSFRBNY",
+            "percent_reporting_increase": "IVFISA156MSFRBNY",
+            "percent_reporting_decrease": "IVFDSA156MSFRBNY",
+            "percent_reporting_no_change": "IVFNSA156MSFRBNY",
+        },
+        "not_sa": {
+            "diffusion_index": "IVFDINA066MNFRBNY",
+            "percent_reporting_increase": "IVFINA156MNFRBNY",
+            "percent_reporting_decrease": "IVFDNA156MNFRBNY",
+            "percent_reporting_no_change": "IVFNNA156MNFRBNY",
+        },
+    },
+    "current_prices_received": {
+        "sa": {
+            "diffusion_index": "PRCDISA066MSFRBNY",
+            "percent_reporting_increase": "PRCISA156MSFRBNY",
+            "percent_reporting_decrease": "PRCDSA156MSFRBNY",
+            "percent_reporting_no_change": "PRCNSA156MSFRBNY",
+        },
+        "not_sa": {
+            "diffusion_index": "PRCDINA066MNEMFRBNY",
+            "percent_reporting_increase": "PRCINA156MNEMFRBNY",
+            "percent_reporting_decrease": "PRCDNA156MNEMFRBNY",
+            "percent_reporting_no_change": "PRCNNA156MNEMFRBNY",
+        },
+    },
+    "future_prices_received": {
+        "sa": {
+            "diffusion_index": "PRFDISA066MSFRBNY",
+            "percent_reporting_increase": "PRFISA156MSFRBNY",
+            "percent_reporting_decrease": "PRFDSA156MSFRBNY",
+            "percent_reporting_no_change": "PRFNSA156MSFRBNY",
+        },
+        "not_sa": {
+            "diffusion_index": "PRFDINA066MNEMFRBNY",
+            "percent_reporting_increase": "PRFINA156MNEMFRBNY",
+            "percent_reporting_decrease": "PRFDNA156MNEMFRBNY",
+            "percent_reporting_no_change": "PRFNNA156MNEMFRBNY",
+        },
+    },
+    "current_prices_paid": {
+        "sa": {
+            "diffusion_index": "PPCDISA066MSFRBNY",
+            "percent_reporting_increase": "PPCISA156MSFRBNY",
+            "percent_reporting_decrease": "PPCDSA156MSFRBNY",
+            "percent_reporting_no_change": "PPCNSA156MSFRBNY",
+        },
+        "not_sa": {
+            "diffusion_index": "PPCDINA066MNEMFRBNY",
+            "percent_reporting_increase": "PPCINA156MNEMFRBNY",
+            "percent_reporting_decrease": "PPCDNA156MNEMFRBNY",
+            "percent_reporting_no_change": "PPCNNA156MNEMFRBNY",
+        },
+    },
+    "future_prices_paid": {
+        "sa": {
+            "diffusion_index": "PPFDISA066MSFRBNY",
+            "percent_reporting_increase": "PPFISA156MSFRBNY",
+            "percent_reporting_decrease": "PPFDSA156MSFRBNY",
+            "percent_reporting_no_change": "PPFNSA156MSFRBNY",
+        },
+        "not_sa": {
+            "diffusion_index": "PPFDINA066MNEMFRBNY",
+            "percent_reporting_increase": "PPFINA156MNEMFRBNY",
+            "percent_reporting_decrease": "PPFDNA156MNEMFRBNY",
+            "percent_reporting_no_change": "PPFNNA156MNEMFRBNY",
+        },
+    },
+    "future_capex": {
+        "sa": {
+            "diffusion_index": "CEFDISA066MSFRBNY",
+            "percent_reporting_increase": "CEFISA156MSFRBNY",
+            "percent_reporting_decrease": "CEFDSA156MSFRBNY",
+            "percent_reporting_no_change": "CEFNSA156MSFRBNY",
+        },
+        "not_sa": {
+            "diffusion_index": "CEFDINA066MNFRBNY",
+            "percent_reporting_increase": "CEFINA156MNFRBNY",
+            "percent_reporting_decrease": "CEFDNA156MNFRBNY",
+            "percent_reporting_no_change": "CEFNNA156MNFRBNY",
+        },
+    },
+    "current_unfilled_orders": {
+        "sa": {
+            "diffusion_index": "UOCDISA066MSFRBNY",
+            "percent_reporting_increase": "UOCISA156MSFRBNY",
+            "percent_reporting_decrease": "UOCDSA156MSFRBNY",
+            "percent_reporting_no_change": "UOCNSA156MSFRBNY",
+        },
+        "not_sa": {
+            "diffusion_index": "UOCDINA066MNFRBNY",
+            "percent_reporting_increase": "UOCINA156MNFRBNY",
+            "percent_reporting_decrease": "UOCDNA156MNFRBNY",
+            "percent_reporting_no_change": "UOCNNA156MNFRBNY",
+        },
+    },
+    "future_unfilled_orders": {
+        "sa": {
+            "diffusion_index": "UOFDISA066MSFRBNY",
+            "percent_reporting_increase": "UOFISA156MSFRBNY",
+            "percent_reporting_decrease": "UOFDSA156MSFRBNY",
+            "percent_reporting_no_change": "UOFNSA156MSFRBNY",
+        },
+        "not_sa": {
+            "diffusion_index": "UOFDINA066MNFRBNY",
+            "percent_reporting_increase": "UOFINA156MNFRBNY",
+            "percent_reporting_decrease": "UOFDNA156MNFRBNY",
+            "percent_reporting_no_change": "UOFNNA156MNFRBNY",
+        },
+    },
+    "current_new_orders": {
+        "sa": {
+            "diffusion_index": "NOCDINA066MNFRBNY",
+            "percent_reporting_increase": "NOCISA156MSFRBNY",
+            "percent_reporting_decrease": "NOCDSA156MSFRBNY",
+            "percent_reporting_no_change": "NOCNSA156MSFRBNY",
+        },
+        "not_sa": {
+            "diffusion_index": "NOCDINA066MNFRBNY",
+            "percent_reporting_increase": "NOCINA156MNFRBNY",
+            "percent_reporting_decrease": "NOCDNA156MNFRBNY",
+            "percent_reporting_no_change": "NOCNNA156MNFRBNY",
+        },
+    },
+    "future_new_orders": {
+        "sa": {
+            "diffusion_index": "NOFDISA066MSFRBNY",
+            "percent_reporting_increase": "NOFISA156MSFRBNY",
+            "percent_reporting_decrease": "NOFDSA156MSFRBNY",
+            "percent_reporting_no_change": "NOFNSA156MSFRBNY",
+        },
+        "not_sa": {
+            "diffusion_index": "NOFDINA066MNFRBNY",
+            "percent_reporting_increase": "NOFINA156MNFRBNY",
+            "percent_reporting_decrease": "NOFDNA156MNFRBNY",
+            "percent_reporting_no_change": "NOFNNA156MNFRBNY",
+        },
+    },
+    "current_shipments": {
+        "sa": {
+            "diffusion_index": "SHCDISA066MSFRBNY",
+            "percent_reporting_increase": "SHCISA156MSFRBNY",
+            "percent_reporting_decrease": "SHCDSA156MSFRBNY",
+            "percent_reporting_no_change": "SHCNSA156MSFRBNY",
+        },
+        "not_sa": {
+            "diffusion_index": "SHCDINA066MNFRBNY",
+            "percent_reporting_increase": "SHCINA156MNFRBNY",
+            "percent_reporting_decrease": "SHCDNA156MNFRBNY",
+            "percent_reporting_no_change": "SHCNNA156MNFRBNY",
+        },
+    },
+    "future_shipments": {
+        "sa": {
+            "diffusion_index": "SHFDISA066MSFRBNY",
+            "percent_reporting_increase": "SHFISA156MSFRBNY",
+            "percent_reporting_decrease": "SHFDSA156MSFRBNY",
+            "percent_reporting_no_change": "SHFNSA156MSFRBNY",
+        },
+        "not_sa": {
+            "diffusion_index": "SHFDINA066MNFRBNY",
+            "percent_reporting_increase": "SHFINA156MNFRBNY",
+            "percent_reporting_decrease": "SHFDNA156MNFRBNY",
+            "percent_reporting_no_change": "SHFNNA156MNFRBNY",
+        },
+    },
+    "current_delivery_times": {
+        "sa": {
+            "diffusion_index": "DTCDISA066MSFRBNY",
+            "percent_reporting_increase": "DTCISA156MSFRBNY",
+            "percent_reporting_decrease": "DTCDSA156MSFRBNY",
+            "percent_reporting_no_change": "DTCNSA156MSFRBNY",
+        },
+        "not_sa": {
+            "diffusion_index": "DTCDINA066MNFRBNY",
+            "percent_reporting_increase": "DTCINA156MNFRBNY",
+            "percent_reporting_decrease": "DTCDNA156MNFRBNY",
+            "percent_reporting_no_change": "DTCNNA156MNFRBNY",
+        },
+    },
+    "future_delivery_times": {
+        "sa": {
+            "diffusion_index": "DTFDISA066MSFRBNY",
+            "percent_reporting_increase": "DTFISA156MSFRBNY",
+            "percent_reporting_decrease": "DTFDSA156MSFRBNY",
+            "percent_reporting_no_change": "DTFNSA156MSFRBNY",
+        },
+        "not_sa": {
+            "diffusion_index": "DTFDINA066MNFRBNY",
+            "percent_reporting_increase": "DTFINA156MNFRBNY",
+            "percent_reporting_decrease": "DTFDNA156MNFRBNY",
+            "percent_reporting_no_change": "DTFNNA156MNFRBNY",
+        },
+    },
+}
+
+ID_TO_TOPIC = {}
+ID_TO_FIELD = {}
+for key, value in NY_MANUFACTURING_OUTLOOK.items():
+    for sub_key, sub_value in value.items():
+        for sub_sub_key, sub_sub_value in sub_value.items():
+            series = sub_sub_value
+            topic = key
+            ID_TO_TOPIC[series] = topic
+            ID_TO_FIELD[series] = sub_sub_key
+
+NY_MANUFACTURING_OUTLOOK_CHOICES = [
+    "business_outlook",
+    "hours_worked",
+    "employment",
+    "inventories",
+    "prices_received",
+    "prices_paid",
+    "capex",
+    "unfilled_orders",
+    "new_orders",
+    "shipments",
+    "delivery_times",
+]
+
+NyManufacturingOutlookChoices = Literal[
+    "business_outlook",
+    "hours_worked",
+    "employment",
+    "inventories",
+    "prices_received",
+    "prices_paid",
+    "capex",
+    "unfilled_orders",
+    "new_orders",
+    "shipments",
+    "delivery_times",
+]
+
+
+class FredManufacturingOutlookNYQueryParams(ManufacturingOutlookTexasQueryParams):
+    """FRED Manufacturing Outlook - New York - Query Params."""
+
+    __json_schema_extra__ = {
+        "topic": {
+            "multiple_items_allowed": True,
+            "choices": NY_MANUFACTURING_OUTLOOK_CHOICES,
+            "x-widget_config": {
+                "value": "new_orders",
+            },
+        },
+    }
+
+    topic: Union[NyManufacturingOutlookChoices, str] = Field(
+        default="new_orders",
+        description="The topic for the survey response.",
+    )
+    seasonally_adjusted: bool = Field(
+        default=False,
+        description="Whether the data is seasonally adjusted, default is False",
+    )
+    frequency: Optional[Literal["quarter", "annual"]] = Field(
+        default=None,
+        description="Frequency aggregation to convert monthly data to lower frequency. None is monthly.",
+    )
+    aggregation_method: Optional[Literal["avg", "sum", "eop"]] = Field(
+        default=None,
+        description="""A key that indicates the aggregation method used for frequency aggregation.
+        avg = Average
+        sum = Sum
+        eop = End of Period
+        """,
+    )
+    transform: Optional[
+        Literal["chg", "ch1", "pch", "pc1", "pca", "cch", "cca", "log"]
+    ] = Field(
+        default=None,
+        description="""Transformation type
+        None = No transformation
+        chg = Change
+        ch1 = Change from Year Ago
+        pch = Percent Change
+        pc1 = Percent Change from Year Ago
+        pca = Compounded Annual Rate of Change
+        cch = Continuously Compounded Rate of Change
+        cca = Continuously Compounded Annual Rate of Change
+        log = Natural Log
+        """,
+    )
+
+    @field_validator("topic", mode="before", check_fields=False)
+    @classmethod
+    def validate_topic(cls, v):
+        """Validate topic."""
+        if v is None:
+            return "new_orders"
+        new_topics: list = []
+        topics: list = []
+        if isinstance(v, list):
+            topics = v
+        if isinstance(v, str):
+            topics = v.split(",")
+        for t in topics:
+            if t in NY_MANUFACTURING_OUTLOOK_CHOICES:
+                new_topics.append(t)
+            else:
+                warn(f"Invalid topic: {t}")
+        if not new_topics:
+            new_topics = ["new_orders"]
+
+        v = ",".join(new_topics)
+
+        return v
+
+
+class FredManufacturingOutlookNYData(ManufacturingOutlookTexasData):
+    """FRED Manufacturing Outlook - New York - Data."""
+
+
+class FredManufacturingOutlookNYFetcher(
+    Fetcher[
+        FredManufacturingOutlookNYQueryParams,
+        list[FredManufacturingOutlookNYData],
+    ]
+):
+    """FRED Manufacturing Outlook - New York - Fetcher."""
+
+    @staticmethod
+    def transform_query(
+        params: dict[str, Any],
+    ) -> FredManufacturingOutlookNYQueryParams:
+        """Transform query parameters."""
+        return FredManufacturingOutlookNYQueryParams(**params)
+
+    @staticmethod
+    async def aextract_data(
+        query: FredManufacturingOutlookNYQueryParams,
+        credentials: Optional[dict[str, str]],
+        **kwargs: Any,
+    ) -> dict:
+        """Fetch data."""
+        # pylint: disable=import-outside-toplevel
+        from openbb_fred.models.series import FredSeriesFetcher
+
+        ids: list = []
+        topics = query.topic.split(",")
+        seasonality = "sa" if query.seasonally_adjusted is True else "not_sa"
+        for t in topics:
+            future_series = list(
+                NY_MANUFACTURING_OUTLOOK.get("future_" + t, {})
+                .get(seasonality, {})
+                .values()
+            )
+            current_series = list(
+                NY_MANUFACTURING_OUTLOOK.get("current_" + t, {})
+                .get(seasonality, {})
+                .values()
+            )
+            topic_ids = future_series + current_series
+            ids.extend(topic_ids)
+
+        if not ids:
+            raise OpenBBError("No valid topic selected. Please select a valid topic.")
+
+        frequency = query.frequency[:1].lower() if query.frequency else None
+
+        try:
+            response = await FredSeriesFetcher.fetch_data(
+                dict(
+                    symbol=",".join(ids),
+                    start_date=query.start_date,
+                    end_date=query.end_date,
+                    transform=query.transform,
+                    frequency=frequency,
+                    aggregation_method=query.aggregation_method,
+                ),
+                credentials,
+            )
+        except Exception as e:
+            raise OpenBBError(e) from e
+
+        return {
+            "metadata": response.metadata,
+            "data": [d.model_dump() for d in response.result],
+        }
+
+    @staticmethod
+    def transform_data(
+        query: FredManufacturingOutlookNYQueryParams,
+        data: dict,
+        **kwargs: Any,
+    ) -> AnnotatedResult[list[FredManufacturingOutlookNYData]]:
+        """Transform data."""
+        # pylint: disable=import-outside-toplevel
+        from numpy import nan
+        from pandas import Categorical, DataFrame
+
+        df = DataFrame(data.get("data", []))
+
+        if df.empty:
+            raise EmptyDataError(
+                "The request was returned empty."
+                + " You may be experiencing rate limiting from the FRED API."
+                + " Please try again later and reduce the number of topics selected."
+            )
+
+        metadata = data.get("metadata", {})
+        df = df.melt(id_vars="date", var_name="symbol", value_name="value").query(
+            "value.notnull()"
+        )
+        df["topic"] = df.symbol.map(ID_TO_TOPIC)
+        df["field"] = df["symbol"].map(ID_TO_FIELD)
+
+        df = df.pivot(
+            columns="field", index=["date", "topic"], values="value"
+        ).reset_index()
+        topic_categories = [
+            d for d in NY_MANUFACTURING_OUTLOOK if d in df["topic"].unique()
+        ]
+        df = df.replace(nan, None)
+
+        df["topic"] = Categorical(
+            df["topic"],
+            categories=topic_categories,
+            ordered=True,
+        )
+        df.sort_values(["date", "topic"], inplace=True)
+
+        for col in df.columns:
+            if col in [
+                "percent_reporting_increase",
+                "percent_reporting_decrease",
+                "percent_reporting_no_change",
+            ]:
+                df[col] = df[col] / 100
+
+        if query.transform in ["pch", "pc1", "pca", "cch", "cca"]:
+            df.diffusion_index = df.diffusion_index / 100
+
+        records = df.to_dict(orient="records")
+
+        return AnnotatedResult(
+            result=[FredManufacturingOutlookNYData.model_validate(r) for r in records],
+            metadata=metadata,
+        )
--- a/openbb_platform/providers/fred/tests/record/http/test_fred_fetchers/test_fred_manufacturing_outlook_ny_fetcher_urllib3_v1.yaml
+++ b/openbb_platform/providers/fred/tests/record/http/test_fred_fetchers/test_fred_manufacturing_outlook_ny_fetcher_urllib3_v1.yaml
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--- a/openbb_platform/providers/fred/tests/record/http/test_fred_fetchers/test_fred_manufacturing_outlook_ny_fetcher_urllib3_v2.yaml
+++ b/openbb_platform/providers/fred/tests/record/http/test_fred_fetchers/test_fred_manufacturing_outlook_ny_fetcher_urllib3_v2.yaml
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--- a/openbb_platform/providers/fred/tests/test_fred_fetchers.py
+++ b/openbb_platform/providers/fred/tests/test_fred_fetchers.py
@@ -23,6 +23,9 @@ from openbb_fred.models.high_quality_market import (
 )
 from openbb_fred.models.ice_bofa import FREDICEBofAFetcher
 from openbb_fred.models.iorb_rates import FREDIORBFetcher
+from openbb_fred.models.manufacturing_outlook_ny import (
+    FredManufacturingOutlookNYFetcher,
+)
 from openbb_fred.models.manufacturing_outlook_texas import (
    FredManufacturingOutlookTexasFetcher,
 )
@@ -540,3 +543,17 @@ def test_fred_commodity_spot_prices_fetcher(credentials=test_credentials):
    fetcher = FredCommoditySpotPricesFetcher()
    result = fetcher.test(params, credentials)
    assert result is None
+
+
+@pytest.mark.record_http
+def test_fred_manufacturing_outlook_ny_fetcher(credentials=test_credentials):
+    """Test FRED manufacturing outlook NY fetcher."""
+    params = {
+        "start_date": datetime.date(2024, 6, 30),
+        "end_date": datetime.date(2024, 10, 1),
+        "topic": "hours_worked",
+    }
+
+    fetcher = FredManufacturingOutlookNYFetcher()
+    result = fetcher.test(params, credentials)
+    assert result is None