From 7aa7e09288838f3e81c3ddf6f6b3aaacbaec8c5b Mon Sep 17 00:00:00 2001 From: Danglewood <85772166+deeleeramone@users.noreply.github.com> Date: Mon, 25 Nov 2024 10:14:38 -0800 Subject: [PATCH] [Feature] Add `yfinance` To `equity.screener` (#6949) * add yfinance to equity.screener * add limit param with default of 200 * trailing comma --- .../equity/integration/test_equity_api.py | 18 + .../equity/integration/test_equity_python.py | 18 + openbb_platform/openbb/assets/reference.json | 674 ++- openbb_platform/openbb/package/equity.py | 406 +- .../openbb/package/equity_discovery.py | 28 + .../yfinance/openbb_yfinance/__init__.py | 2 + .../openbb_yfinance/models/equity_screener.py | 250 + .../yfinance/openbb_yfinance/utils/helpers.py | 4 +- .../openbb_yfinance/utils/references.py | 632 ++- ...ce_equity_screener_fetcher_urllib3_v1.yaml | 4514 +++++++++++++++++ ...ce_equity_screener_fetcher_urllib3_v2.yaml | 76 + .../yfinance/tests/test_yfinance_fetchers.py | 18 + 12 files changed, 6613 insertions(+), 27 deletions(-) create mode 100644 openbb_platform/providers/yfinance/openbb_yfinance/models/equity_screener.py create mode 100644 openbb_platform/providers/yfinance/tests/record/http/test_yfinance_fetchers/test_y_finance_equity_screener_fetcher_urllib3_v1.yaml create mode 100644 openbb_platform/providers/yfinance/tests/record/http/test_yfinance_fetchers/test_y_finance_equity_screener_fetcher_urllib3_v2.yaml diff --git a/openbb_platform/extensions/equity/integration/test_equity_api.py b/openbb_platform/extensions/equity/integration/test_equity_api.py index 299eb328d45..a55e64ddb11 100644 --- a/openbb_platform/extensions/equity/integration/test_equity_api.py +++ b/openbb_platform/extensions/equity/integration/test_equity_api.py @@ -1474,6 +1474,24 @@ def test_equity_search(params, headers): "provider": "finviz", } ), + ( + { + "country": "us", + "sector": "consumer_cyclical", + "industry": "auto_manufacturers", + "exchange": None, + "mktcap_min": 60000000000, + "mktcap_max": None, + "price_min": 10, + "price_max": None, + "volume_min": 5000000, + "volume_max": None, + "beta_min": None, + "beta_max": None, + "provider": "yfinance", + "limit": 200, + } + ), ], ) @pytest.mark.integration diff --git a/openbb_platform/extensions/equity/integration/test_equity_python.py b/openbb_platform/extensions/equity/integration/test_equity_python.py index c47f4f91920..653e48cfbae 100644 --- a/openbb_platform/extensions/equity/integration/test_equity_python.py +++ b/openbb_platform/extensions/equity/integration/test_equity_python.py @@ -1407,6 +1407,24 @@ def test_equity_search(params, obb): "provider": "finviz", } ), + ( + { + "country": "us", + "sector": "consumer_cyclical", + "industry": "auto_manufacturers", + "exchange": None, + "mktcap_min": 60000000000, + "mktcap_max": None, + "price_min": 10, + "price_max": None, + "volume_min": 5000000, + "volume_max": None, + "beta_min": None, + "beta_max": None, + "provider": "yfinance", + "limit": 200, + } + ), ], ) @pytest.mark.integration diff --git a/openbb_platform/openbb/assets/reference.json b/openbb_platform/openbb/assets/reference.json index 73c4d32ef27..efb6bb35c2c 100644 --- a/openbb_platform/openbb/assets/reference.json +++ b/openbb_platform/openbb/assets/reference.json @@ -14585,6 +14585,22 @@ "optional": true, "choices": null }, + { + "name": "exchange", + "type": "str", + "description": "Exchange where the stock is listed.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "exchange_timezone", + "type": "str", + "description": "Timezone of the exchange.", + "default": null, + "optional": true, + "choices": null + }, { "name": "earnings_date", "type": "datetime", @@ -14843,6 +14859,22 @@ "optional": true, "choices": null }, + { + "name": "exchange", + "type": "str", + "description": "Exchange where the stock is listed.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "exchange_timezone", + "type": "str", + "description": "Timezone of the exchange.", + "default": null, + "optional": true, + "choices": null + }, { "name": "earnings_date", "type": "datetime", @@ -15101,6 +15133,22 @@ "optional": true, "choices": null }, + { + "name": "exchange", + "type": "str", + "description": "Exchange where the stock is listed.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "exchange_timezone", + "type": "str", + "description": "Timezone of the exchange.", + "default": null, + "optional": true, + "choices": null + }, { "name": "earnings_date", "type": "datetime", @@ -15359,6 +15407,22 @@ "optional": true, "choices": null }, + { + "name": "exchange", + "type": "str", + "description": "Exchange where the stock is listed.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "exchange_timezone", + "type": "str", + "description": "Timezone of the exchange.", + "default": null, + "optional": true, + "choices": null + }, { "name": "earnings_date", "type": "datetime", @@ -15617,6 +15681,22 @@ "optional": true, "choices": null }, + { + "name": "exchange", + "type": "str", + "description": "Exchange where the stock is listed.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "exchange_timezone", + "type": "str", + "description": "Timezone of the exchange.", + "default": null, + "optional": true, + "choices": null + }, { "name": "earnings_date", "type": "datetime", @@ -15875,6 +15955,22 @@ "optional": true, "choices": null }, + { + "name": "exchange", + "type": "str", + "description": "Exchange where the stock is listed.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "exchange_timezone", + "type": "str", + "description": "Timezone of the exchange.", + "default": null, + "optional": true, + "choices": null + }, { "name": "earnings_date", "type": "datetime", @@ -16133,6 +16229,22 @@ "optional": true, "choices": null }, + { + "name": "exchange", + "type": "str", + "description": "Exchange where the stock is listed.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "exchange_timezone", + "type": "str", + "description": "Timezone of the exchange.", + "default": null, + "optional": true, + "choices": null + }, { "name": "earnings_date", "type": "datetime", @@ -29835,6 +29947,404 @@ "optional": true, "choices": null } + ], + "yfinance": [ + { + "name": "country", + "type": "str", + "description": "Filter by country, as a two-letter country code. Default is, 'us'. Use, 'all', for all countries.", + "default": "us", + "optional": true, + "choices": [ + "all", + "ar", + "at", + "au", + "be", + "br", + "ca", + "ch", + "cl", + "cn", + "cz", + "de", + "dk", + "ee", + "eg", + "es", + "fi", + "fr", + "gb", + "gr", + "hk", + "hu", + "id", + "ie", + "il", + "in", + "is", + "it", + "jp", + "kr", + "kw", + "lk", + "lt", + "lv", + "mx", + "my", + "nl", + "no", + "nz", + "pe", + "ph", + "pk", + "pl", + "pt", + "qa", + "ro", + "ru", + "sa", + "se", + "sg", + "sr", + "th", + "tr", + "tw", + "us", + "ve", + "vn", + "za" + ] + }, + { + "name": "exchange", + "type": "Literal['ams', 'aqs', 'ase', 'asx', 'ath', 'ber', 'bru', 'bse', 'bts', 'bud', 'bue', 'bvb', 'bvc', 'ccs', 'cnq', 'cph', 'cxe', 'dfm', 'doh', 'dus', 'ebs', 'fka', 'fra', 'ger', 'ham', 'han', 'hel', 'hkg', 'ice', 'iob', 'ise', 'ist', 'jkt', 'jnb', 'jpx', 'kls', 'kuw', 'lis', 'lit', 'lse', 'mce', 'mex', 'mil', 'mun', 'ncm', 'neo', 'ngm', 'nms', 'nsi', 'nyq', 'nze', 'oem', 'oqb', 'oqx', 'osl', 'par', 'pnk', 'pra', 'ris', 'sau', 'ses', 'set', 'sgo', 'shh', 'shz', 'sto', 'stu', 'tai', 'tal', 'tlv', 'tor', 'two', 'van', 'vie', 'vse', 'wse']", + "description": "Filter by exchange.", + "default": null, + "optional": true, + "choices": [ + "ams", + "aqs", + "ase", + "asx", + "ath", + "ber", + "bru", + "bse", + "bts", + "bud", + "bue", + "bvb", + "bvc", + "ccs", + "cnq", + "cph", + "cxe", + "dfm", + "doh", + "dus", + "ebs", + "fka", + "fra", + "ger", + "ham", + "han", + "hel", + "hkg", + "ice", + "iob", + "ise", + "ist", + "jkt", + "jnb", + "jpx", + "kls", + "kuw", + "lis", + "lit", + "lse", + "mce", + "mex", + "mil", + "mun", + "ncm", + "neo", + "ngm", + "nms", + "nsi", + "nyq", + "nze", + "oem", + "oqb", + "oqx", + "osl", + "par", + "pnk", + "pra", + "ris", + "sau", + "ses", + "set", + "sgo", + "shh", + "shz", + "sto", + "stu", + "tai", + "tal", + "tlv", + "tor", + "two", + "van", + "vie", + "vse", + "wse" + ] + }, + { + "name": "sector", + "type": "Literal['basic_materials', 'communication_services', 'consumer_cyclical', 'consumer_defensive', 'energy', 'financial_services', 'healthcare', 'industrials', 'real_estate', 'technology', 'utilities']", + "description": "Filter by sector.", + "default": null, + "optional": true, + "choices": [ + "basic_materials", + "communication_services", + "consumer_cyclical", + "consumer_defensive", + "energy", + "financial_services", + "healthcare", + "industrials", + "real_estate", + "technology", + "utilities" + ] + }, + { + "name": "industry", + "type": "str", + "description": "Filter by industry.", + "default": null, + "optional": true, + "choices": [ + "advertising_agencies", + "aerospace_defense", + "agricultural_inputs", + "airlines", + "airports_air_services", + "aluminum", + "apparel_manufacturing", + "apparel_retail", + "asset_management", + "auto_components", + "auto_manufacturers", + "auto_parts", + "auto_truck_dealerships", + "automobiles", + "banks", + "biotechnology", + "broadcasting", + "building_materials", + "building_products", + "building_products_equipment", + "business_equipment_supplies", + "capital_markets", + "chemicals", + "coking_coal", + "commercial_services", + "communication_equipment", + "computer_hardware", + "confectioners", + "construction_engineering", + "construction_materials", + "consulting_services", + "consumer_durables", + "consumer_electronics", + "consumer_services", + "copper", + "credit_services", + "department_stores", + "diagnostics_research", + "discount_stores", + "diversified_financials", + "education_training_services", + "electrical_equipment", + "electrical_equipment_parts", + "electronic_components", + "electronic_gaming_multimedia", + "electronics_computer_distribution", + "energy_services", + "engineering_construction", + "entertainment", + "farm_heavy_construction_machinery", + "farm_products", + "financial_conglomerates", + "financial_data_stock_exchanges", + "food_distribution", + "footwear_accessories", + "furnishings_fixtures_appliances", + "gambling", + "gold", + "grocery_stores", + "health_information_services", + "healthcare_plans", + "home_builders", + "home_improvement_retail", + "household_products", + "household_personal_products", + "industrial_conglomerates", + "industrial_distribution", + "information_technology_services", + "infrastructure_operations", + "insurance", + "integrated_freight_logistics", + "internet_content_information", + "internet_retail", + "leisure", + "lodging", + "lumber_wood_production", + "luxury_goods", + "machinery", + "marine_shipping", + "media", + "medical_care_facilities", + "medical_devices", + "medical_distribution", + "medical_instruments_supplies", + "metal_fabrication", + "mortgage_finance", + "oil_gas_drilling", + "oil_gas_e_p", + "oil_gas_equipment_services", + "oil_gas_integrated", + "oil_gas_midstream", + "oil_gas_producers", + "oil_gas_refining_marketing", + "other_industrial_metals_mining", + "other_precious_metals_mining", + "packaged_foods", + "packaging_containers", + "paper_forestry", + "paper_paper_products", + "personal_services", + "pharmaceuticals", + "pharmaceutical_retailers", + "pollution_treatment_controls", + "precious_metals", + "publishing", + "railroads", + "real_estate", + "recreational_vehicles", + "refiners_pipelines", + "rental_leasing_services", + "residential_construction", + "resorts_casinos", + "restaurants", + "retailing", + "scientific_technical_instruments", + "security_protection_services", + "semiconductor_equipment_materials", + "semiconductors", + "shell_companies", + "silver", + "software_and_services", + "solar", + "specialty_business_services", + "specialty_chemicals", + "specialty_industrial_machinery", + "specialty_retail", + "staffing_employment_services", + "steel", + "technology_hardware", + "telecom_services", + "textiles_apparel", + "textile_manufacturing", + "thermal_coal", + "tobacco", + "tools_accessories", + "traders_distributors", + "transportation", + "transportation_infrastructure", + "travel_services", + "trucking", + "uranium", + "utilities", + "waste_management" + ] + }, + { + "name": "mktcap_min", + "type": "int", + "description": "Filter by market cap greater than this value. Default is 500M.", + "default": 500000000, + "optional": true, + "choices": null + }, + { + "name": "mktcap_max", + "type": "int", + "description": "Filter by market cap less than this value.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "price_min", + "type": "float", + "description": "Filter by price greater than this value. Default is, 5", + "default": 5, + "optional": true, + "choices": null + }, + { + "name": "price_max", + "type": "float", + "description": "Filter by price less than this value.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "volume_min", + "type": "int", + "description": "Filter by volume greater than this value. Default is, 10K", + "default": 10000, + "optional": true, + "choices": null + }, + { + "name": "volume_max", + "type": "int", + "description": "Filter by volume less than this value.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "beta_min", + "type": "float", + "description": "Filter by a beta greater than this value.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "beta_max", + "type": "float", + "description": "Filter by a beta less than this value.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "limit", + "type": "int", + "description": "Limit the number of results returned. Default is, 200. Set to, 0, for all results.", + "default": 200, + "optional": true, + "choices": null + } ] }, "returns": { @@ -29846,7 +30356,7 @@ }, { "name": "provider", - "type": "Optional[Literal['fmp']]", + "type": "Optional[Literal['fmp', 'yfinance']]", "description": "Provider name." }, { @@ -29982,6 +30492,168 @@ "optional": true, "choices": null } + ], + "yfinance": [ + { + "name": "open", + "type": "float", + "description": "Open price for the day.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "high", + "type": "float", + "description": "High price for the day.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "low", + "type": "float", + "description": "Low price for the day.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "previous_close", + "type": "float", + "description": "Previous close price.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "ma50", + "type": "float", + "description": "50-day moving average.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "ma200", + "type": "float", + "description": "200-day moving average.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "year_high", + "type": "float", + "description": "52-week high.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "year_low", + "type": "float", + "description": "52-week low.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "market_cap", + "type": "float", + "description": "Market Cap.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "shares_outstanding", + "type": "float", + "description": "Shares outstanding.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "book_value", + "type": "float", + "description": "Book value per share.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "price_to_book", + "type": "float", + "description": "Price to book ratio.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "eps_ttm", + "type": "float", + "description": "Earnings per share over the trailing twelve months.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "eps_forward", + "type": "float", + "description": "Forward earnings per share.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "pe_forward", + "type": "float", + "description": "Forward price-to-earnings ratio.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "dividend_yield", + "type": "float", + "description": "Trailing twelve month dividend yield.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "exchange", + "type": "str", + "description": "Exchange where the stock is listed.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "exchange_timezone", + "type": "str", + "description": "Timezone of the exchange.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "earnings_date", + "type": "datetime", + "description": "Most recent earnings date.", + "default": null, + "optional": true, + "choices": null + }, + { + "name": "currency", + "type": "str", + "description": "Currency of the price data.", + "default": null, + "optional": true, + "choices": null + } ] }, "model": "EquityScreener" diff --git a/openbb_platform/openbb/package/equity.py b/openbb_platform/openbb/package/equity.py index 7a4ac4f5a05..aef592d7754 100644 --- a/openbb_platform/openbb/package/equity.py +++ b/openbb_platform/openbb/package/equity.py @@ -548,9 +548,9 @@ def profile( def screener( self, provider: Annotated[ - Optional[Literal["fmp"]], + Optional[Literal["fmp", "yfinance"]], OpenBBField( - description="The provider to use, by default None. If None, the priority list configured in the settings is used. Default priority: fmp." + description="The provider to use, by default None. If None, the priority list configured in the settings is used. Default priority: fmp, yfinance." ), ] = None, **kwargs @@ -562,24 +562,24 @@ def screener( Parameters ---------- - provider : Optional[Literal['fmp']] - The provider to use, by default None. If None, the priority list configured in the settings is used. Default priority: fmp. + provider : Optional[Literal['fmp', 'yfinance']] + The provider to use, by default None. If None, the priority list configured in the settings is used. Default priority: fmp, yfinance. mktcap_min : Optional[int] - Filter by market cap greater than this value. (provider: fmp) + Filter by market cap greater than this value. (provider: fmp, yfinance) mktcap_max : Optional[int] - Filter by market cap less than this value. (provider: fmp) + Filter by market cap less than this value. (provider: fmp, yfinance) price_min : Optional[float] - Filter by price greater than this value. (provider: fmp) + Filter by price greater than this value. (provider: fmp, yfinance) price_max : Optional[float] - Filter by price less than this value. (provider: fmp) + Filter by price less than this value. (provider: fmp, yfinance) beta_min : Optional[float] - Filter by a beta greater than this value. (provider: fmp) + Filter by a beta greater than this value. (provider: fmp, yfinance) beta_max : Optional[float] - Filter by a beta less than this value. (provider: fmp) + Filter by a beta less than this value. (provider: fmp, yfinance) volume_min : Optional[int] - Filter by volume greater than this value. (provider: fmp) + Filter by volume greater than this value. (provider: fmp, yfinance) volume_max : Optional[int] - Filter by volume less than this value. (provider: fmp) + Filter by volume less than this value. (provider: fmp, yfinance) dividend_min : Optional[float] Filter by dividend amount greater than this value. (provider: fmp) dividend_max : Optional[float] @@ -588,23 +588,25 @@ def screener( If true, returns only ETFs. (provider: fmp) is_active : Optional[bool] If false, returns only inactive tickers. (provider: fmp) - sector : Optional[Literal['consumer_cyclical', 'energy', 'technology', 'industrials', 'financial_services', 'basic_materials', 'communication_services', 'consumer_defensive', 'healthcare', 'real_estate', 'utilities', 'industrial_goods', 'financial', 'services', 'conglomerates']] - Filter by sector. (provider: fmp) + sector : Optional[Union[Literal['consumer_cyclical', 'energy', 'technology', 'industrials', 'financial_services', 'basic_materials', 'communication_services', 'consumer_defensive', 'healthcare', 'real_estate', 'utilities', 'industrial_goods', 'financial', 'services', 'conglomerates'], Literal['basic_materials', 'communication_services', 'consumer_cyclical', 'consumer_defensive', 'energy', 'financial_services', 'healthcare', 'industrials', 'real_estate', 'technology', 'utilities']]] + Filter by sector. (provider: fmp, yfinance) industry : Optional[str] - Filter by industry. (provider: fmp) + Filter by industry. (provider: fmp, yfinance) country : Optional[str] - Filter by country, as a two-letter country code. (provider: fmp) - exchange : Optional[Literal['amex', 'ams', 'ase', 'asx', 'ath', 'bme', 'bru', 'bud', 'bue', 'cai', 'cnq', 'cph', 'dfm', 'doh', 'etf', 'euronext', 'hel', 'hkse', 'ice', 'iob', 'ist', 'jkt', 'jnb', 'jpx', 'kls', 'koe', 'ksc', 'kuw', 'lse', 'mex', 'mutual_fund', 'nasdaq', 'neo', 'nse', 'nyse', 'nze', 'osl', 'otc', 'pnk', 'pra', 'ris', 'sao', 'sau', 'set', 'sgo', 'shh', 'shz', 'six', 'sto', 'tai', 'tlv', 'tsx', 'two', 'vie', 'wse', 'xetra']] - Filter by exchange. (provider: fmp) + Filter by country, as a two-letter country code. (provider: fmp); + Filter by country, as a two-letter country code. Default is, 'us'. Use, 'all', for all countries. (provider: yfinance) + exchange : Optional[Union[Literal['amex', 'ams', 'ase', 'asx', 'ath', 'bme', 'bru', 'bud', 'bue', 'cai', 'cnq', 'cph', 'dfm', 'doh', 'etf', 'euronext', 'hel', 'hkse', 'ice', 'iob', 'ist', 'jkt', 'jnb', 'jpx', 'kls', 'koe', 'ksc', 'kuw', 'lse', 'mex', 'mutual_fund', 'nasdaq', 'neo', 'nse', 'nyse', 'nze', 'osl', 'otc', 'pnk', 'pra', 'ris', 'sao', 'sau', 'set', 'sgo', 'shh', 'shz', 'six', 'sto', 'tai', 'tlv', 'tsx', 'two', 'vie', 'wse', 'xetra'], Literal['ams', 'aqs', 'ase', 'asx', 'ath', 'ber', 'bru', 'bse', 'bts', 'bud', 'bue', 'bvb', 'bvc', 'ccs', 'cnq', 'cph', 'cxe', 'dfm', 'doh', 'dus', 'ebs', 'fka', 'fra', 'ger', 'ham', 'han', 'hel', 'hkg', 'ice', 'iob', 'ise', 'ist', 'jkt', 'jnb', 'jpx', 'kls', 'kuw', 'lis', 'lit', 'lse', 'mce', 'mex', 'mil', 'mun', 'ncm', 'neo', 'ngm', 'nms', 'nsi', 'nyq', 'nze', 'oem', 'oqb', 'oqx', 'osl', 'par', 'pnk', 'pra', 'ris', 'sau', 'ses', 'set', 'sgo', 'shh', 'shz', 'sto', 'stu', 'tai', 'tal', 'tlv', 'tor', 'two', 'van', 'vie', 'vse', 'wse']]] + Filter by exchange. (provider: fmp, yfinance) limit : Optional[int] - Limit the number of results to return. (provider: fmp) + Limit the number of results to return. (provider: fmp); + Limit the number of results returned. Default is, 200. Set to, 0, for all results. (provider: yfinance) Returns ------- OBBject results : List[EquityScreener] Serializable results. - provider : Optional[Literal['fmp']] + provider : Optional[Literal['fmp', 'yfinance']] Provider name. warnings : Optional[List[Warning_]] List of warnings. @@ -619,8 +621,9 @@ def screener( Symbol representing the entity requested in the data. name : Optional[str] Name of the company. - market_cap : Optional[int] - The market cap of ticker. (provider: fmp) + market_cap : Optional[Union[int, float]] + The market cap of ticker. (provider: fmp); + Market Cap. (provider: yfinance) sector : Optional[str] The sector the ticker belongs to. (provider: fmp) industry : Optional[str] @@ -634,7 +637,8 @@ def screener( volume : Optional[int] The current trading volume. (provider: fmp) exchange : Optional[str] - The exchange code the asset trades on. (provider: fmp) + The exchange code the asset trades on. (provider: fmp); + Exchange where the stock is listed. (provider: yfinance) exchange_name : Optional[str] The full name of the primary exchange. (provider: fmp) country : Optional[str] @@ -643,6 +647,42 @@ def screener( Whether the ticker is an ETF. (provider: fmp) actively_trading : Optional[Literal[True, False]] Whether the ETF is actively trading. (provider: fmp) + open : Optional[float] + Open price for the day. (provider: yfinance) + high : Optional[float] + High price for the day. (provider: yfinance) + low : Optional[float] + Low price for the day. (provider: yfinance) + previous_close : Optional[float] + Previous close price. (provider: yfinance) + ma50 : Optional[float] + 50-day moving average. (provider: yfinance) + ma200 : Optional[float] + 200-day moving average. (provider: yfinance) + year_high : Optional[float] + 52-week high. (provider: yfinance) + year_low : Optional[float] + 52-week low. (provider: yfinance) + shares_outstanding : Optional[float] + Shares outstanding. (provider: yfinance) + book_value : Optional[float] + Book value per share. (provider: yfinance) + price_to_book : Optional[float] + Price to book ratio. (provider: yfinance) + eps_ttm : Optional[float] + Earnings per share over the trailing twelve months. (provider: yfinance) + eps_forward : Optional[float] + Forward earnings per share. (provider: yfinance) + pe_forward : Optional[float] + Forward price-to-earnings ratio. (provider: yfinance) + dividend_yield : Optional[float] + Trailing twelve month dividend yield. (provider: yfinance) + exchange_timezone : Optional[str] + Timezone of the exchange. (provider: yfinance) + earnings_date : Optional[datetime] + Most recent earnings date. (provider: yfinance) + currency : Optional[str] + Currency of the price data. (provider: yfinance) Examples -------- @@ -657,11 +697,329 @@ def screener( "provider": self._get_provider( provider, "equity.screener", - ("fmp",), + ("fmp", "yfinance"), ) }, standard_params={}, extra_params=kwargs, + info={ + "sector": { + "yfinance": { + "multiple_items_allowed": False, + "choices": [ + "basic_materials", + "communication_services", + "consumer_cyclical", + "consumer_defensive", + "energy", + "financial_services", + "healthcare", + "industrials", + "real_estate", + "technology", + "utilities", + ], + } + }, + "industry": { + "yfinance": { + "multiple_items_allowed": False, + "choices": [ + "advertising_agencies", + "aerospace_defense", + "agricultural_inputs", + "airlines", + "airports_air_services", + "aluminum", + "apparel_manufacturing", + "apparel_retail", + "asset_management", + "auto_components", + "auto_manufacturers", + "auto_parts", + "auto_truck_dealerships", + "automobiles", + "banks", + "biotechnology", + "broadcasting", + "building_materials", + "building_products", + "building_products_equipment", + "business_equipment_supplies", + "capital_markets", + "chemicals", + "coking_coal", + "commercial_services", + "communication_equipment", + "computer_hardware", + "confectioners", + "construction_engineering", + "construction_materials", + "consulting_services", + "consumer_durables", + "consumer_electronics", + "consumer_services", + "copper", + "credit_services", + "department_stores", + "diagnostics_research", + "discount_stores", + "diversified_financials", + "education_training_services", + "electrical_equipment", + "electrical_equipment_parts", + "electronic_components", + "electronic_gaming_multimedia", + "electronics_computer_distribution", + "energy_services", + "engineering_construction", + "entertainment", + "farm_heavy_construction_machinery", + "farm_products", + "financial_conglomerates", + "financial_data_stock_exchanges", + "food_distribution", + "footwear_accessories", + "furnishings_fixtures_appliances", + "gambling", + "gold", + "grocery_stores", + "health_information_services", + "healthcare_plans", + "home_builders", + "home_improvement_retail", + "household_products", + "household_personal_products", + "industrial_conglomerates", + "industrial_distribution", + "information_technology_services", + "infrastructure_operations", + "insurance", + "integrated_freight_logistics", + "internet_content_information", + "internet_retail", + "leisure", + "lodging", + "lumber_wood_production", + "luxury_goods", + "machinery", + "marine_shipping", + "media", + "medical_care_facilities", + "medical_devices", + "medical_distribution", + "medical_instruments_supplies", + "metal_fabrication", + "mortgage_finance", + "oil_gas_drilling", + "oil_gas_e_p", + "oil_gas_equipment_services", + "oil_gas_integrated", + "oil_gas_midstream", + "oil_gas_producers", + "oil_gas_refining_marketing", + "other_industrial_metals_mining", + "other_precious_metals_mining", + "packaged_foods", + "packaging_containers", + "paper_forestry", + "paper_paper_products", + "personal_services", + "pharmaceuticals", + "pharmaceutical_retailers", + "pollution_treatment_controls", + "precious_metals", + "publishing", + "railroads", + "real_estate", + "recreational_vehicles", + "refiners_pipelines", + "rental_leasing_services", + "residential_construction", + "resorts_casinos", + "restaurants", + "retailing", + "scientific_technical_instruments", + "security_protection_services", + "semiconductor_equipment_materials", + "semiconductors", + "shell_companies", + "silver", + "software_and_services", + "solar", + "specialty_business_services", + "specialty_chemicals", + "specialty_industrial_machinery", + "specialty_retail", + "staffing_employment_services", + "steel", + "technology_hardware", + "telecom_services", + "textiles_apparel", + "textile_manufacturing", + "thermal_coal", + "tobacco", + "tools_accessories", + "traders_distributors", + "transportation", + "transportation_infrastructure", + "travel_services", + "trucking", + "uranium", + "utilities", + "waste_management", + ], + } + }, + "country": { + "yfinance": { + "multiple_items_allowed": False, + "choices": [ + "all", + "ar", + "at", + "au", + "be", + "br", + "ca", + "ch", + "cl", + "cn", + "cz", + "de", + "dk", + "ee", + "eg", + "es", + "fi", + "fr", + "gb", + "gr", + "hk", + "hu", + "id", + "ie", + "il", + "in", + "is", + "it", + "jp", + "kr", + "kw", + "lk", + "lt", + "lv", + "mx", + "my", + "nl", + "no", + "nz", + "pe", + "ph", + "pk", + "pl", + "pt", + "qa", + "ro", + "ru", + "sa", + "se", + "sg", + "sr", + "th", + "tr", + "tw", + "us", + "ve", + "vn", + "za", + ], + } + }, + "exchange": { + "yfinance": { + "multiple_items_allowed": False, + "choices": [ + "ams", + "aqs", + "ase", + "asx", + "ath", + "ber", + "bru", + "bse", + "bts", + "bud", + "bue", + "bvb", + "bvc", + "ccs", + "cnq", + "cph", + "cxe", + "dfm", + "doh", + "dus", + "ebs", + "fka", + "fra", + "ger", + "ham", + "han", + "hel", + "hkg", + "ice", + "iob", + "ise", + "ist", + "jkt", + "jnb", + "jpx", + "kls", + "kuw", + "lis", + "lit", + "lse", + "mce", + "mex", + "mil", + "mun", + "ncm", + "neo", + "ngm", + "nms", + "nsi", + "nyq", + "nze", + "oem", + "oqb", + "oqx", + "osl", + "par", + "pnk", + "pra", + "ris", + "sau", + "ses", + "set", + "sgo", + "shh", + "shz", + "sto", + "stu", + "tai", + "tal", + "tlv", + "tor", + "two", + "van", + "vie", + "vse", + "wse", + ], + } + }, + }, ) ) diff --git a/openbb_platform/openbb/package/equity_discovery.py b/openbb_platform/openbb/package/equity_discovery.py index 04a4447a24a..0527c40a82d 100644 --- a/openbb_platform/openbb/package/equity_discovery.py +++ b/openbb_platform/openbb/package/equity_discovery.py @@ -116,6 +116,10 @@ def active( Forward price-to-earnings ratio. (provider: yfinance) dividend_yield : Optional[float] Trailing twelve month dividend yield. (provider: yfinance) + exchange : Optional[str] + Exchange where the stock is listed. (provider: yfinance) + exchange_timezone : Optional[str] + Timezone of the exchange. (provider: yfinance) earnings_date : Optional[datetime] Most recent earnings date. (provider: yfinance) currency : Optional[str] @@ -234,6 +238,10 @@ def aggressive_small_caps( Forward price-to-earnings ratio. (provider: yfinance) dividend_yield : Optional[float] Trailing twelve month dividend yield. (provider: yfinance) + exchange : Optional[str] + Exchange where the stock is listed. (provider: yfinance) + exchange_timezone : Optional[str] + Timezone of the exchange. (provider: yfinance) earnings_date : Optional[datetime] Most recent earnings date. (provider: yfinance) currency : Optional[str] @@ -461,6 +469,10 @@ def gainers( Forward price-to-earnings ratio. (provider: yfinance) dividend_yield : Optional[float] Trailing twelve month dividend yield. (provider: yfinance) + exchange : Optional[str] + Exchange where the stock is listed. (provider: yfinance) + exchange_timezone : Optional[str] + Timezone of the exchange. (provider: yfinance) earnings_date : Optional[datetime] Most recent earnings date. (provider: yfinance) currency : Optional[str] @@ -579,6 +591,10 @@ def growth_tech( Forward price-to-earnings ratio. (provider: yfinance) dividend_yield : Optional[float] Trailing twelve month dividend yield. (provider: yfinance) + exchange : Optional[str] + Exchange where the stock is listed. (provider: yfinance) + exchange_timezone : Optional[str] + Timezone of the exchange. (provider: yfinance) earnings_date : Optional[datetime] Most recent earnings date. (provider: yfinance) currency : Optional[str] @@ -808,6 +824,10 @@ def losers( Forward price-to-earnings ratio. (provider: yfinance) dividend_yield : Optional[float] Trailing twelve month dividend yield. (provider: yfinance) + exchange : Optional[str] + Exchange where the stock is listed. (provider: yfinance) + exchange_timezone : Optional[str] + Timezone of the exchange. (provider: yfinance) earnings_date : Optional[datetime] Most recent earnings date. (provider: yfinance) currency : Optional[str] @@ -926,6 +946,10 @@ def undervalued_growth( Forward price-to-earnings ratio. (provider: yfinance) dividend_yield : Optional[float] Trailing twelve month dividend yield. (provider: yfinance) + exchange : Optional[str] + Exchange where the stock is listed. (provider: yfinance) + exchange_timezone : Optional[str] + Timezone of the exchange. (provider: yfinance) earnings_date : Optional[datetime] Most recent earnings date. (provider: yfinance) currency : Optional[str] @@ -1044,6 +1068,10 @@ def undervalued_large_caps( Forward price-to-earnings ratio. (provider: yfinance) dividend_yield : Optional[float] Trailing twelve month dividend yield. (provider: yfinance) + exchange : Optional[str] + Exchange where the stock is listed. (provider: yfinance) + exchange_timezone : Optional[str] + Timezone of the exchange. (provider: yfinance) earnings_date : Optional[datetime] Most recent earnings date. (provider: yfinance) currency : Optional[str] diff --git a/openbb_platform/providers/yfinance/openbb_yfinance/__init__.py b/openbb_platform/providers/yfinance/openbb_yfinance/__init__.py index 652f252eac8..e048a8ef6f4 100644 --- a/openbb_platform/providers/yfinance/openbb_yfinance/__init__.py +++ b/openbb_platform/providers/yfinance/openbb_yfinance/__init__.py @@ -12,6 +12,7 @@ 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 @@ -57,6 +58,7 @@ "EquityInfo": YFinanceEquityProfileFetcher, "EquityLosers": YFLosersFetcher, "EquityQuote": YFinanceEquityQuoteFetcher, + "EquityScreener": YFinanceEquityScreenerFetcher, "EquityUndervaluedGrowth": YFUndervaluedGrowthEquitiesFetcher, "EquityUndervaluedLargeCaps": YFUndervaluedLargeCapsFetcher, "EtfHistorical": YFinanceEquityHistoricalFetcher, diff --git a/openbb_platform/providers/yfinance/openbb_yfinance/models/equity_screener.py b/openbb_platform/providers/yfinance/openbb_yfinance/models/equity_screener.py new file mode 100644 index 00000000000..12c2cf4fe4c --- /dev/null +++ b/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_defined_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_defined_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] diff --git a/openbb_platform/providers/yfinance/openbb_yfinance/utils/helpers.py b/openbb_platform/providers/yfinance/openbb_yfinance/utils/helpers.py index 88f6a23a854..22e3a248194 100644 --- a/openbb_platform/providers/yfinance/openbb_yfinance/utils/helpers.py +++ b/openbb_platform/providers/yfinance/openbb_yfinance/utils/helpers.py @@ -86,6 +86,8 @@ async def get_defined_screener( "priceToBook", "trailingAnnualDividendYield", "currency", + "exchange", + "exchangeTimezoneName", "earnings_date", ] results: list = [] @@ -127,7 +129,7 @@ async def get_defined_screener( ) item["earnings_date"] = earnings_date result = {k: item.get(k, None) for k in fields} - if result.get("regularMarketChange"): + if result.get("regularMarketChange") and result.get("regularMarketVolume"): output.append(result) return output[:limit] if limit is not None else output diff --git a/openbb_platform/providers/yfinance/openbb_yfinance/utils/references.py b/openbb_platform/providers/yfinance/openbb_yfinance/utils/references.py index 59a558267c4..387ca16485b 100644 --- a/openbb_platform/providers/yfinance/openbb_yfinance/utils/references.py +++ b/openbb_platform/providers/yfinance/openbb_yfinance/utils/references.py @@ -1,4 +1,6 @@ -"""Yahoo Finance types helpers.""" +"""Yahoo Finance References.""" + +# pylint: disable=too-many-lines from datetime import datetime from typing import Literal, Optional @@ -633,6 +635,617 @@ "crypto200": {"name": "CMC Crypto 200 Index by Solacti", "ticker": "^CMC200"}, } +COUNTRIES = [ + "all", + "ar", + "at", + "au", + "be", + "br", + "ca", + "ch", + "cl", + "cn", + "cz", + "de", + "dk", + "ee", + "eg", + "es", + "fi", + "fr", + "gb", + "gr", + "hk", + "hu", + "id", + "ie", + "il", + "in", + "is", + "it", + "jp", + "kr", + "kw", + "lk", + "lt", + "lv", + "mx", + "my", + "nl", + "no", + "nz", + "pe", + "ph", + "pk", + "pl", + "pt", + "qa", + "ro", + "ru", + "sa", + "se", + "sg", + "sr", + "th", + "tr", + "tw", + "us", + "ve", + "vn", + "za", +] + +EXCHANGES = [ + "ams", + "aqs", + "ase", + "asx", + "ath", + "ber", + "bru", + "bse", + "bts", + "bud", + "bue", + "bvb", + "bvc", + "ccs", + "cnq", + "cph", + "cxe", + "dfm", + "doh", + "dus", + "ebs", + "fka", + "fra", + "ger", + "ham", + "han", + "hel", + "hkg", + "ice", + "iob", + "ise", + "ist", + "jkt", + "jnb", + "jpx", + "kls", + "kuw", + "lis", + "lit", + "lse", + "mce", + "mex", + "mil", + "mun", + "ncm", + "neo", + "ngm", + "nms", + "nsi", + "nyq", + "nze", + "oem", + "oqb", + "oqx", + "osl", + "par", + "pnk", + "pra", + "ris", + "sau", + "ses", + "set", + "sgo", + "shh", + "shz", + "sto", + "stu", + "tai", + "tal", + "tlv", + "tor", + "two", + "van", + "vie", + "vse", + "wse", +] + + +SECTOR_MAP = { + "basic_materials": "Basic Materials", + "communication_services": "Communication Services", + "consumer_cyclical": "Consumer Cyclical", + "consumer_defensive": "Consumer Defensive", + "energy": "Energy", + "financial_services": "Financial Services", + "healthcare": "Healthcare", + "industrials": "Industrials", + "real_estate": "Real Estate", + "technology": "Technology", + "utilities": "Utilities", +} + +SECTORS = Literal[ + "basic_materials", + "communication_services", + "consumer_cyclical", + "consumer_defensive", + "energy", + "financial_services", + "healthcare", + "industrials", + "real_estate", + "technology", + "utilities", +] + +Exchanges = Literal[ + "ams", + "aqs", + "ase", + "asx", + "ath", + "ber", + "bru", + "bse", + "bts", + "bud", + "bue", + "bvb", + "bvc", + "ccs", + "cnq", + "cph", + "cxe", + "dfm", + "doh", + "dus", + "ebs", + "fka", + "fra", + "ger", + "ham", + "han", + "hel", + "hkg", + "ice", + "iob", + "ise", + "ist", + "jkt", + "jnb", + "jpx", + "kls", + "kuw", + "lis", + "lit", + "lse", + "mce", + "mex", + "mil", + "mun", + "ncm", + "neo", + "ngm", + "nms", + "nsi", + "nyq", + "nze", + "oem", + "oqb", + "oqx", + "osl", + "par", + "pnk", + "pra", + "ris", + "sau", + "ses", + "set", + "sgo", + "shh", + "shz", + "sto", + "stu", + "tai", + "tal", + "tlv", + "tor", + "two", + "van", + "vie", + "vse", + "wse", +] + +PEER_GROUPS = [ + "Automobiles", + "Auto Components", + "Energy Services", + "Food Products", + "Food Retailers", + "Containers & Packaging", + "Pharmaceuticals", + "Utilities", + "Real Estate", + "Chemicals", + "Construction & Engineering", + "Building Products", + "Homebuilders", + "Banks", + "Insurance", + "Software & Services", + "Diversified Metals", + "Precious Metals", + "Industrial Conglomerates", + "Machinery", + "Media", + "Transportation", + "Transportation Infrastructure", + "Telecommunication Services", + "Consumer Durables", + "Consumer Services", + "Diversified Financials", + "Technology Hardware", + "Retailing", + "Electrical Equipment", + "Semiconductors", + "Commercial Services", + "Building Products", + "Aerospace & Defense", + "Construction & Engineering", + "Construction Materials", + "Paper & Forestry", + "Refiners & Pipelines", + "Household Products", + "Steel", + "Textiles & Apparel", + "Traders & Distributors", +] + + +INDUSTRIES = [ + "advertising_agencies", + "aerospace_defense", + "agricultural_inputs", + "airlines", + "airports_air_services", + "aluminum", + "apparel_manufacturing", + "apparel_retail", + "asset_management", + "auto_components", + "auto_manufacturers", + "auto_parts", + "auto_truck_dealerships", + "automobiles", + "banks", + "biotechnology", + "broadcasting", + "building_materials", + "building_products", + "building_products_equipment", + "business_equipment_supplies", + "capital_markets", + "chemicals", + "coking_coal", + "commercial_services", + "communication_equipment", + "computer_hardware", + "confectioners", + "construction_engineering", + "construction_materials", + "consulting_services", + "consumer_durables", + "consumer_electronics", + "consumer_services", + "copper", + "credit_services", + "department_stores", + "diagnostics_research", + "discount_stores", + "diversified_financials", + "education_training_services", + "electrical_equipment", + "electrical_equipment_parts", + "electronic_components", + "electronic_gaming_multimedia", + "electronics_computer_distribution", + "energy_services", + "engineering_construction", + "entertainment", + "farm_heavy_construction_machinery", + "farm_products", + "financial_conglomerates", + "financial_data_stock_exchanges", + "food_distribution", + "footwear_accessories", + "furnishings_fixtures_appliances", + "gambling", + "gold", + "grocery_stores", + "health_information_services", + "healthcare_plans", + "home_builders", + "home_improvement_retail", + "household_products", + "household_personal_products", + "industrial_conglomerates", + "industrial_distribution", + "information_technology_services", + "infrastructure_operations", + "insurance", + "integrated_freight_logistics", + "internet_content_information", + "internet_retail", + "leisure", + "lodging", + "lumber_wood_production", + "luxury_goods", + "machinery", + "marine_shipping", + "media", + "medical_care_facilities", + "medical_devices", + "medical_distribution", + "medical_instruments_supplies", + "metal_fabrication", + "mortgage_finance", + "oil_gas_drilling", + "oil_gas_e_p", + "oil_gas_equipment_services", + "oil_gas_integrated", + "oil_gas_midstream", + "oil_gas_producers", + "oil_gas_refining_marketing", + "other_industrial_metals_mining", + "other_precious_metals_mining", + "packaged_foods", + "packaging_containers", + "paper_forestry", + "paper_paper_products", + "personal_services", + "pharmaceuticals", + "pharmaceutical_retailers", + "pollution_treatment_controls", + "precious_metals", + "publishing", + "railroads", + "real_estate", + "recreational_vehicles", + "refiners_pipelines", + "rental_leasing_services", + "residential_construction", + "resorts_casinos", + "restaurants", + "retailing", + "scientific_technical_instruments", + "security_protection_services", + "semiconductor_equipment_materials", + "semiconductors", + "shell_companies", + "silver", + "software_and_services", + "solar", + "specialty_business_services", + "specialty_chemicals", + "specialty_industrial_machinery", + "specialty_retail", + "staffing_employment_services", + "steel", + "technology_hardware", + "telecom_services", + "textiles_apparel", + "textile_manufacturing", + "thermal_coal", + "tobacco", + "tools_accessories", + "traders_distributors", + "transportation", + "transportation_infrastructure", + "travel_services", + "trucking", + "uranium", + "utilities", + "waste_management", +] + +INDUSTRY_MAP = { + "energy": { + "oil_gas_producers": "Oil & Gas Producers", + "oil_gas_integrated": "Oil & Gas Integrated", + "oil_gas_midstream": "Oil & Gas Midstream", + "oil_gas_e_p": "Oil & Gas E&P", + "oil_gas_equipment_services": "Oil & Gas Equipment & Services", + "oil_gas_refining_marketing": "Oil & Gas Refining & Marketing", + "uranium": "Uranium", + "oil_gas_drilling": "Oil & Gas Drilling", + "thermal_coal": "Thermal Coal", + "energy_services": "Energy Services", + }, + "basic_materials": { + "specialty_chemicals": "Specialty Chemicals", + "precious_metals": "Precious Metals", + "diversified_metals": "Diversified Metals", + "gold": "Gold", + "building_materials": "Building Materials", + "copper": "Copper", + "steel": "Steel", + "agricultural_inputs": "Agricultural Inputs", + "chemicals": "Chemicals", + "other_industrial_metals_mining": "Other Industrial Metals & Mining", + "lumber_wood_production": "Lumber & Wood Production", + "aluminum": "Aluminum", + "other_precious_metals_mining": "Other Precious Metals & Mining", + "coking_coal": "Coking Coal", + "paper_forestry": "Paper & Forestry", + "refiners_pipelines": "Refiners & Pipelines", + "paper_paper_products": "Paper & Paper Products", + "silver": "Silver", + }, + "industrials": { + "aerospace_defense": "Aerospace & Defense", + "specialty_industrial_machinery": "Specialty Industrial Machinery", + "railroads": "Railroads", + "farm_heavy_construction_machinery": "Farm & Heavy Construction Machinery", + "building_products": "Building Products", + "building_products_equipment": "Building Products & Equipment", + "specialty_business_services": "Specialty Business Services", + "integrated_freight_logistics": "Integrated Freight & Logistics", + "industrial_conglomerates": "Industrial Conglomerates", + "waste_management": "Waste Management", + "engineering_construction": "Engineering & Construction", + "industrial_distribution": "Industrial Distribution", + "rental_leasing_services": "Rental & Leasing Services", + "electrical_equipment": "Electrical Equipment", + "electrical_equipment_parts": "Electrical Equipment & Parts", + "transportation": "Transportation", + "transportation_infrastructure": "Transportation Infrastructure", + "airlines": "Airlines", + "trucking": "Trucking", + "machinery": "Machinery", + "consulting_services": "Consulting Services", + "tools_accessories": "Tools & Accessories", + "pollution_treatment_controls": "Pollution & Treatment Controls", + "security_protection_services": "Security & Protection Services", + "metal_fabrication": "Metal Fabrication", + "marine_shipping": "Marine Shipping", + "infrastructure_operations": "Infrastructure Operations", + "staffing_employment_services": "Staffing & Employment Services", + "airports_air_services": "Airports & Air Services", + "business_equipment_supplies": "Business Equipment & Supplies", + "commercial_services": "Commercial Services", + "containers_packaging": "Containers & Packaging", + }, + "consumer_defensive": { + "discount_stores": "Discount Stores", + "household_products": "Household Products", + "household_personal_products": "Household & Personal Products", + "food_products": "Food Products", + "food_retailers": "Food Retailers", + "tobacco": "Tobacco", + "packaged_foods": "Packaged Foods", + "confectioners": "Confectioners", + "grocery_stores": "Grocery Stores", + "farm_products": "Farm Products", + "food_distribution": "Food Distribution", + "education_training_services": "Education & Training Services", + }, + "consumer_cyclical": { + "automobiles": "Automobiles", + "internet_retail": "Internet Retail", + "auto_manufacturers": "Auto Manufacturers", + "restaurants": "Restaurants", + "home_improvement_retail": "Home Improvement Retail", + "travel_services": "Travel Services", + "retailing": "Retailing", + "specialty_retail": "Specialty Retail", + "apparel_retail": "Apparel Retail", + "residential_construction": "Residential Construction", + "footwear_accessories": "Footwear & Accessories", + "packaging_containers": "Packaging & Containers", + "lodging": "Lodging", + "auto_truck_dealerships": "Auto & Truck Dealerships", + "auto_parts": "Auto Parts", + "auto_components": "Auto Components", + "gambling": "Gambling", + "resorts_casinos": "Resorts & Casinos", + "leisure": "Leisure", + "apparel_manufacturing": "Apparel Manufacturing", + "personal_services": "Personal Services", + "furnishings_fixtures_appliances": "Furnishings, Fixtures & Appliances", + "recreational_vehicles": "Recreational Vehicles", + "luxury_goods": "Luxury Goods", + "department_stores": "Department Stores", + "textiles_apparel": "Textiles & Apparel", + "textile_manufacturing": "Textile Manufacturing", + "traders_distributors": "Traders & Distributors", + "consumer_durables": "Consumer Durables", + "consumer_services": "Consumer Services", + }, + "healthcare": { + "drugs": "Pharmaceuticals", + "healthcare_plans": "Healthcare Plans", + "medical_devices": "Medical Devices", + "biotechnology": "Biotechnology", + "diagnostics_research": "Diagnostics & Research", + "medical_instruments_supplies": "Medical Instruments & Supplies", + "medical_care_facilities": "Medical Care Facilities", + "medical_distribution": "Medical Distribution", + "health_information_services": "Health Information Services", + "pharmaceutical_retailers": "Pharmaceutical Retailers", + }, + "financial_services": { + "banks": "Banks", + "insurance": "Insurance", + "diversified_financials": "Diversified Financials", + "credit_services": "Credit Services", + "asset_management": "Asset Management", + "capital_markets": "Capital Markets", + "financial_data_stock_exchanges": "Financial Data & Stock Exchanges", + "insurance_brokers": "Insurance Brokers", + "mortgage_finance": "Mortgage Finance", + "shell_companies": "Shell Companies", + "financial_conglomerates": "Financial Conglomerates", + }, + "technology": { + "semiconductors": "Semiconductors", + "software_and_services": "Software & Services", + "consumer_electronics": "Consumer Electronics", + "information_technology_services": "Information Technology Services", + "communication_equipment": "Communication Equipment", + "semiconductor_equipment_materials": "Semiconductor Equipment & Materials", + "computer_hardware": "Computer Hardware", + "technology_hardware": "Technology Hardware", + "electronic_components": "Electronic Components", + "scientific_technical_instruments": "Scientific & Technical Instruments", + "solar": "Solar", + "electronics_computer_distribution": "Electronics & Computer Distribution", + }, + "communication_services": { + "internet_content_information": "Internet Content & Information", + "telecom_services": "Telecommunication Services", + "entertainment": "Entertainment", + "media": "Media", + "electronic_gaming_multimedia": "Electronic Gaming & Multimedia", + "advertising_agencies": "Advertising Agencies", + "publishing": "Publishing", + "broadcasting": "Broadcasting", + }, + "utilities": { + "utilities": "Utilities", + }, + "real_estate": { + "real_estate": "Real Estate", + "home_builders": "Homebuilders", + }, +} + class YFPredefinedScreenerData(EquityPerformanceData): """Yahoo Finance Predefined Screener Data.""" @@ -660,6 +1273,7 @@ class YFPredefinedScreenerData(EquityPerformanceData): "dividend_yield": "trailingAnnualDividendYield", "earnings_date": "earnings_date", "currency": "currency", + "exchange_timezone": "exchangeTimezoneName", } open: Optional[float] = Field( @@ -739,6 +1353,14 @@ class YFPredefinedScreenerData(EquityPerformanceData): description="Trailing twelve month dividend yield.", json_schema_extra={"x-unit_measurement": "percent", "frontend_multiply": 100}, ) + exchange: Optional[str] = Field( + default=None, + description="Exchange where the stock is listed.", + ) + exchange_timezone: Optional[str] = Field( + default=None, + description="Timezone of the exchange.", + ) earnings_date: Optional[datetime] = Field( default=None, description="Most recent earnings date.", @@ -755,3 +1377,11 @@ def _validate_percent_change(cls, v): if v is not None: return v / 100 return v + + +def get_industry_sector(industry: str): + """Get the sector from the industry.""" + for sector, industries in INDUSTRY_MAP.items(): + if industry in industries: + return sector + return None diff --git 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+ - Buy","shortName":"General Motors Company","symbol":"GM"}],"useRecords":false}],"error":null}}' + headers: + Age: + - '1' + Connection: + - keep-alive + Referrer-Policy: + - no-referrer-when-downgrade + Strict-Transport-Security: + - max-age=31536000 + X-Content-Type-Options: + - nosniff + X-Frame-Options: + - SAMEORIGIN + X-XSS-Protection: + - 1; mode=block + cache-control: + - private, no-cache, no-store + content-encoding: + - gzip + content-length: + - '1602' + content-type: + - application/json;charset=utf-8 + date: + - Mon, 18 Nov 2024 03:23:27 GMT + server: + - ATS + vary: + - Origin,Accept-Encoding + x-envoy-decorator-operation: + - finance-screeners--mtls-production-gq1.finance-k8s.svc.yahoo.local:4080/* + x-envoy-upstream-service-time: + - '29' + y-rid: + - 33r6mf5jjlcpg + status: + code: 200 + message: OK +version: 1 diff --git a/openbb_platform/providers/yfinance/tests/test_yfinance_fetchers.py b/openbb_platform/providers/yfinance/tests/test_yfinance_fetchers.py index c1acd96c5ee..d760c9c4579 100644 --- a/openbb_platform/providers/yfinance/tests/test_yfinance_fetchers.py +++ b/openbb_platform/providers/yfinance/tests/test_yfinance_fetchers.py @@ -15,6 +15,7 @@ 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 @@ -353,3 +354,20 @@ def test_y_finance_etf_info_fetcher(credentials=test_credentials): fetcher = YFinanceEtfInfoFetcher() result = fetcher.test(params, credentials) assert result is None + + +@pytest.mark.record_http +def test_y_finance_equity_screener_fetcher(credentials=test_credentials): + """Test YFinanceEquityScreener.""" + params = { + "country": "us", + "sector": "consumer_cyclical", + "industry": "auto_manufacturers", + "mktcap_min": 60000000000, + "volume_min": 5000000, + "price_min": 10, + } + + fetcher = YFinanceEquityScreenerFetcher() + result = fetcher.test(params, credentials) + assert result is None