Uploading Model

.gitattributes

@@ -1,35 +1,2 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.wasm filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
+model/word2vec-google-news-300.model filter=lfs diff=lfs merge=lfs -text
+Target_Model/*  filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1,210 @@
+
+# Model
+logs/
+#Target_Model/
+#model/word*.npy
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+# General
+.DS_Store
+.AppleDouble
+.LSOverride
+
+# Icon must end with two \r
+Icon
+
+
+# Thumbnails
+._*
+
+# Files that might appear in the root of a volume
+.DocumentRevisions-V100
+.fseventsd
+.Spotlight-V100
+.TemporaryItems
+.Trashes
+.VolumeIcon.icns
+.com.apple.timemachine.donotpresent
+
+# Directories potentially created on remote AFP share
+.AppleDB
+.AppleDesktop
+Network Trash Folder
+Temporary Items
+.apdisk
+
+.vscode/*
+!.vscode/settings.json
+!.vscode/tasks.json
+!.vscode/launch.json
+!.vscode/extensions.json
+!.vscode/*.code-snippets
+
+# Local History for Visual Studio Code
+.history/
+
+# Built Visual Studio Code Extensions
+*.vsix

.vscode/settings.json

@@ -0,0 +1,4 @@
+{
+    "git.ignoreLimitWarning": true,
+    "python.analysis.autoImportCompletions": true
+}

app.py

@@ -1,20 +1,25 @@
-import streamlit as st
-import requests
+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+#from preprocess import preprocess_text
 
-# Streamlit 页面设置
-st.title('AI Model API Interface')
-st.write('输入文本，获取模型预测结果。')
+# 初始化 FastAPI 应用
+app = FastAPI()
 
-# 用户输入
-user_input = st.text_area('请输入文本:')
+# 定义请求体模型
+class TextRequest(BaseModel):
+    text: str
 
-if st.button('提交'):
-    if user_input.strip():
-        with st.spinner('正在预测...'):
-            try:
-                prediction = user_input + '123'
-                st.success(f'预测结果: {prediction}')
-            except Exception as e:
-                st.error(f'请求失败: {e}')
-    else:
-        st.warning('请输入文本！')
+@app.post("/api/preprocess")
+async def api_preprocess(request: TextRequest):
+    """
+    API: 接收新闻文本，返回预处理结果。
+    """
+    if not request.text.strip():
+        raise HTTPException(status_code=400, detail="Text cannot be empty.")
+    result = request.text + 'ABC'
+    return result
+
+# 启动服务
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=8000)

app/__init__.py

@@ -1,7 +0,0 @@
-from flask import Flask
-
-def create_app():
-    app = Flask(__name__)
-    from .routes import api
-    app.register_blueprint(api)
-    return app

app/model.py

@@ -1,11 +0,0 @@
-from transformers import pipeline
-
-# 加载模型
-#model = pipeline('text-classification')
-
-def predict(text):
-    try:
-        result = text + ' is a good movie'
-        return result
-    except Exception as e:
-        return {'error': str(e)}

app/routes.py

@@ -1,12 +0,0 @@
-from flask import Blueprint, request, jsonify
-from .model import predict
-
-api = Blueprint('api', __name__)
-
-@api.route('/predict', methods=['POST'])
-def predict_route():
-    data = request.get_json()
-    if not data or 'input' not in data:
-        return jsonify({'error': 'Invalid input'}), 400
-    prediction = predict(data['input'])
-    return jsonify({'prediction': prediction})

model/dji.csv

@@ -0,0 +1,31 @@
+Company,Exchange,Symbol,Industry
+3M,NYSE,MMM,Conglomerate
+American Express,NYSE,AXP,Financial services
+Amgen,NASDAQ,AMGN,Biopharmaceutical
+Amazon,NASDAQ,AMZN,Retailing
+Apple,NASDAQ,AAPL,Information technology
+Boeing,NYSE,BA,Aerospace�and�defense
+Caterpillar,NYSE,CAT,Construction�and�mining
+Chevron,NYSE,CVX,Petroleum industry
+Cisco,NASDAQ,CSCO,Information technology
+Coca-Cola,NYSE,KO,Drink industry
+Disney,NYSE,DIS,Broadcasting�and�entertainment
+Dow,NYSE,DOW,Chemical industry
+Goldman Sachs,NYSE,GS,Financial services
+Home Depot,NYSE,HD,Home Improvement
+Honeywell,NASDAQ,HON,Conglomerate
+IBM,NYSE,IBM,Information technology
+Intel,NASDAQ,INTC,Semiconductor industry
+Johnson & Johnson,NYSE,JNJ,Pharmaceutical industry
+JPMorgan Chase,NYSE,JPM,Financial services
+McDonald's,NYSE,MCD,Food industry
+Merck,NYSE,MRK,Pharmaceutical industry
+Microsoft,NASDAQ,MSFT,Information technology
+Nike,NYSE,NKE,Clothing industry
+Procter & Gamble,NYSE,PG,Fast-moving consumer goods
+Salesforce,NYSE,CRM,Information technology
+Travelers,NYSE,TRV,Insurance
+UnitedHealth Group,NYSE,UNH,Managed health care
+Verizon,NYSE,VZ,Telecommunications industry
+Visa,NYSE,V,Financial services
+Walmart,NYSE,WMT,Retailing

model/nasdaq100.csv

@@ -0,0 +1,102 @@
+Symbol,Name
+AAPL,Apple Inc. Common Stock
+ABNB,"Airbnb, Inc. Class A Common Stock"
+ADBE,Adobe Inc. Common Stock
+ADI,"Analog Devices, Inc. Common Stock"
+ADP,"Automatic Data Processing, Inc. Common Stock"
+ADSK,"Autodesk, Inc. Common Stock"
+AEP,"American Electric Power Company, Inc. Common Stock"
+AMAT,"Applied Materials, Inc. Common Stock"
+AMD,"Advanced Micro Devices, Inc. Common Stock"
+AMGN,Amgen Inc. Common Stock
+AMZN,"Amazon.com, Inc. Common Stock"
+ANSS,"ANSYS, Inc. Common Stock"
+ARM,Arm Holdings plc American Depositary Shares
+ASML,ASML Holding N.V. New York Registry Shares
+AVGO,Broadcom Inc. Common Stock
+AZN,AstraZeneca PLC American Depositary Shares
+BIIB,Biogen Inc. Common Stock
+BKNG,Booking Holdings Inc. Common Stock
+BKR,Baker Hughes Company Class A Common Stock
+CCEP,Coca-Cola Europacific Partners plc Ordinary Shares
+CDNS,"Cadence Design Systems, Inc. Common Stock"
+CDW,CDW Corporation Common Stock
+CEG,Constellation Energy Corporation Common Stock
+CHTR,"Charter Communications, Inc. Class A Common Stock New"
+CMCSA,Comcast Corporation Class A Common Stock
+COST,Costco Wholesale Corporation Common Stock
+CPRT,"Copart, Inc. (DE) Common Stock"
+CRWD,"CrowdStrike Holdings, Inc. Class A Common Stock"
+CSCO,"Cisco Systems, Inc. Common Stock (DE)"
+CSGP,"CoStar Group, Inc. Common Stock"
+CSX,CSX Corporation Common Stock
+CTAS,Cintas Corporation Common Stock
+CTSH,Cognizant Technology Solutions Corporation Class A Common Stock
+DASH,"DoorDash, Inc. Class A Common Stock"
+DDOG,"Datadog, Inc. Class A Common Stock"
+DLTR,Dollar Tree Inc. Common Stock
+DXCM,"DexCom, Inc. Common Stock"
+EA,Electronic Arts Inc. Common Stock
+EXC,Exelon Corporation Common Stock
+FANG,"Diamondback Energy, Inc. Common Stock"
+FAST,Fastenal Company Common Stock
+FTNT,"Fortinet, Inc. Common Stock"
+GEHC,GE HealthCare Technologies Inc. Common Stock
+GFS,GlobalFoundries Inc. Ordinary Shares
+GILD,"Gilead Sciences, Inc. Common Stock"
+GOOG,Alphabet Inc. Class C Capital Stock
+GOOGL,Alphabet Inc. Class A Common Stock
+HON,Honeywell International Inc. Common Stock
+IDXX,"IDEXX Laboratories, Inc. Common Stock"
+ILMN,"Illumina, Inc. Common Stock"
+INTC,Intel Corporation Common Stock
+INTU,Intuit Inc. Common Stock
+ISRG,"Intuitive Surgical, Inc. Common Stock"
+KDP,Keurig Dr Pepper Inc. Common Stock
+KHC,The Kraft Heinz Company Common Stock
+KLAC,KLA Corporation Common Stock
+LIN,Linde plc Ordinary Shares
+LRCX,Lam Research Corporation Common Stock
+LULU,lululemon athletica inc. Common Stock
+MAR,Marriott International Class A Common Stock
+MCHP,Microchip Technology Incorporated Common Stock
+MDB,"MongoDB, Inc. Class A Common Stock"
+MDLZ,"Mondelez International, Inc. Class A Common Stock"
+MELI,"MercadoLibre, Inc. Common Stock"
+META,"Meta Platforms, Inc. Class A Common Stock"
+MNST,Monster Beverage Corporation
+MRNA,"Moderna, Inc. Common Stock"
+MRVL,"Marvell Technology, Inc. Common Stock"
+MSFT,Microsoft Corporation Common Stock
+MU,"Micron Technology, Inc. Common Stock"
+NFLX,"Netflix, Inc. Common Stock"
+NVDA,NVIDIA Corporation Common Stock
+NXPI,NXP Semiconductors N.V. Common Stock
+ODFL,"Old Dominion Freight Line, Inc. Common Stock"
+ON,ON Semiconductor Corporation Common Stock
+ORLY,"O'Reilly Automotive, Inc. Common Stock"
+PANW,"Palo Alto Networks, Inc. Common Stock"
+PAYX,"Paychex, Inc. Common Stock"
+PCAR,PACCAR Inc. Common Stock
+PDD,PDD Holdings Inc. American Depositary Shares
+PEP,"PepsiCo, Inc. Common Stock"
+PYPL,"PayPal Holdings, Inc. Common Stock"
+QCOM,QUALCOMM Incorporated Common Stock
+REGN,"Regeneron Pharmaceuticals, Inc. Common Stock"
+ROP,"Roper Technologies, Inc. Common Stock"
+ROST,"Ross Stores, Inc. Common Stock"
+SBUX,Starbucks Corporation Common Stock
+SMCI,"Super Micro Computer, Inc. Common Stock"
+SNPS,"Synopsys, Inc. Common Stock"
+TEAM,Atlassian Corporation Class A Common Stock
+TMUS,"T-Mobile US, Inc. Common Stock"
+TSLA,"Tesla, Inc. Common Stock"
+TTD,"The Trade Desk, Inc. Class A Common Stock"
+TTWO,"Take-Two Interactive Software, Inc. Common Stock"
+TXN,Texas Instruments Incorporated Common Stock
+VRSK,"Verisk Analytics, Inc. Common Stock"
+VRTX,Vertex Pharmaceuticals Incorporated Common Stock
+WBD,"Warner Bros. Discovery, Inc. Series A Common Stock"
+WDAY,"Workday, Inc. Class A Common Stock"
+XEL,Xcel Energy Inc. Common Stock
+ZS,"Zscaler, Inc. Common Stock"

model/sp500.csv

@@ -0,0 +1,504 @@
+Symbol,Security,GICS Sector,GICS Sub-Industry,Headquarters Location,Date added,CIK,Founded
+A,Agilent Technologies,Health Care,Life Sciences Tools & Services,"Santa Clara, California",2000-06-05,1090872,1999
+AAL,American Airlines Group,Industrials,Passenger Airlines,"Fort Worth, Texas",2015-03-23,6201,1934
+AAPL,Apple Inc.,Information Technology,"Technology Hardware, Storage & Peripherals","Cupertino, California",1982-11-30,320193,1977
+ABBV,AbbVie,Health Care,Biotechnology,"North Chicago, Illinois",2012-12-31,1551152,2013 (1888)
+ABNB,Airbnb,Consumer Discretionary,"Hotels, Resorts & Cruise Lines","San Francisco, California",2023-09-18,1559720,2008
+ABT,Abbott,Health Care,Health Care Equipment,"North Chicago, Illinois",1957-03-04,1800,1888
+ACGL,Arch Capital Group,Financials,Property & Casualty Insurance,"Hamilton, Bermuda",2022-11-01,947484,1995
+ACN,Accenture,Information Technology,IT Consulting & Other Services,"Dublin, Ireland",2011-07-06,1467373,1989
+ADBE,Adobe Inc.,Information Technology,Application Software,"San Jose, California",1997-05-05,796343,1982
+ADI,Analog Devices,Information Technology,Semiconductors,"Wilmington, Massachusetts",1999-10-12,6281,1965
+ADM,Archer-Daniels-Midland,Consumer Staples,Agricultural Products & Services,"Chicago, Illinois",1957-03-04,7084,1902
+ADP,Automated Data Processing,Industrials,Human Resource & Employment Services,"Roseland, New Jersey",1981-03-31,8670,1949
+ADSK,Autodesk,Information Technology,Application Software,"San Francisco, California",1989-12-01,769397,1982
+AEE,Ameren,Utilities,Multi-Utilities,"St. Louis, Missouri",1991-09-19,1002910,1902
+AEP,American Electric Power,Utilities,Electric Utilities,"Columbus, Ohio",1957-03-04,4904,1906
+AES,AES Corporation,Utilities,Independent Power Producers & Energy Traders,"Arlington, Virginia",1998-10-02,874761,1981
+AFL,Aflac,Financials,Life & Health Insurance,"Columbus, Georgia",1999-05-28,4977,1955
+AIG,American International Group,Financials,Multi-line Insurance,"New York City, New York",1980-03-31,5272,1919
+AIZ,Assurant,Financials,Multi-line Insurance,"Atlanta, Georgia",2007-04-10,1267238,1892
+AJG,Arthur J. Gallagher & Co.,Financials,Insurance Brokers,"Rolling Meadows, Illinois",2016-05-31,354190,1927
+AKAM,Akamai,Information Technology,Internet Services & Infrastructure,"Cambridge, Massachusetts",2007-07-12,1086222,1998
+ALB,Albemarle Corporation,Materials,Specialty Chemicals,"Charlotte, North Carolina",2016-07-01,915913,1994
+ALGN,Align Technology,Health Care,Health Care Supplies,"Tempe, Arizona",2017-06-19,1097149,1997
+ALL,Allstate,Financials,Property & Casualty Insurance,"Northbrook, Illinois",1995-07-13,899051,1931
+ALLE,Allegion,Industrials,Building Products,"Dublin, Ireland",2013-12-02,1579241,1908
+AMAT,Applied Materials,Information Technology,Semiconductor Materials & Equipment,"Santa Clara, California",1995-03-16,6951,1967
+AMCR,Amcor,Materials,Paper & Plastic Packaging Products & Materials,"Warmley, Bristol, United Kingdom",2019-06-07,1748790,2019 (1860)
+AMD,Advanced Micro Devices,Information Technology,Semiconductors,"Santa Clara, California",2017-03-20,2488,1969
+AME,Ametek,Industrials,Electrical Components & Equipment,"Berwyn, Pennsylvania",2013-09-23,1037868,1930
+AMGN,Amgen,Health Care,Biotechnology,"Thousand Oaks, California",1992-01-02,318154,1980
+AMP,Ameriprise Financial,Financials,Asset Management & Custody Banks,"Minneapolis, Minnesota",2005-10-03,820027,1894
+AMT,American Tower,Real Estate,Telecom Tower REITs,"Boston, Massachusetts",2007-11-19,1053507,1995
+AMZN,Amazon,Consumer Discretionary,Broadline Retail,"Seattle, Washington",2005-11-18,1018724,1994
+ANET,Arista Networks,Information Technology,Communications Equipment,"Santa Clara, California",2018-08-28,1596532,2004
+ANSS,Ansys,Information Technology,Application Software,"Canonsburg, Pennsylvania",2017-06-19,1013462,1969
+AON,Aon,Financials,Insurance Brokers,"London, UK",1996-04-23,315293,1982 (1919)
+AOS,A. O. Smith,Industrials,Building Products,"Milwaukee, Wisconsin",2017-07-26,91142,1916
+APA,APA Corporation,Energy,Oil & Gas Exploration & Production,"Houston, Texas",1997-07-28,1841666,1954
+APD,Air Products and Chemicals,Materials,Industrial Gases,"Allentown, Pennsylvania",1985-04-30,2969,1940
+APH,Amphenol,Information Technology,Electronic Components,"Wallingford, Connecticut",2008-09-30,820313,1932
+APTV,Aptiv,Consumer Discretionary,Automotive Parts & Equipment,"Dublin, Ireland",2012-12-24,1521332,1994
+ARE,Alexandria Real Estate Equities,Real Estate,Office REITs,"Pasadena, California",2017-03-20,1035443,1994
+ATO,Atmos Energy,Utilities,Gas Utilities,"Dallas, Texas",2019-02-15,731802,1906
+AVB,AvalonBay Communities,Real Estate,Multi-Family Residential REITs,"Arlington, Virginia",2007-01-10,915912,1978
+AVGO,Broadcom Inc.,Information Technology,Semiconductors,"Palo Alto, California",2014-05-08,1730168,1961
+AVY,Avery Dennison,Materials,Paper & Plastic Packaging Products & Materials,"Mentor, Ohio",1987-12-31,8818,1990
+AWK,American Water Works,Utilities,Water Utilities,"Camden, New Jersey",2016-03-04,1410636,1886
+AXON,Axon Enterprise,Industrials,Aerospace & Defense,"Scottsdale, Arizona",2023-05-04,1069183,1993
+AXP,American Express,Financials,Consumer Finance,"New York City, New York",1976-06-30,4962,1850
+AZO,AutoZone,Consumer Discretionary,Automotive Retail,"Memphis, Tennessee",1997-01-02,866787,1979
+BA,Boeing,Industrials,Aerospace & Defense,"Arlington, Virginia",1957-03-04,12927,1916
+BAC,Bank of America,Financials,Diversified Banks,"Charlotte, North Carolina",1976-06-30,70858,1998 (1923 / 1874)
+BALL,Ball Corporation,Materials,"Metal, Glass & Plastic Containers","Broomfield, Colorado",1984-10-31,9389,1880
+BAX,Baxter International,Health Care,Health Care Equipment,"Deerfield, Illinois",1972-09-30,10456,1931
+BBWI,"Bath & Body Works, Inc.",Consumer Discretionary,Other Specialty Retail,"Columbus, Ohio",1983-09-30,701985,1963
+BBY,Best Buy,Consumer Discretionary,Computer & Electronics Retail,"Richfield, Minnesota",1999-06-29,764478,1966
+BDX,Becton Dickinson,Health Care,Health Care Equipment,"Franklin Lakes, New Jersey",1972-09-30,10795,1897
+BEN,Franklin Templeton,Financials,Asset Management & Custody Banks,"San Mateo, California",1998-04-30,38777,1947
+BF.B,Brown–Forman,Consumer Staples,Distillers & Vintners,"Louisville, Kentucky",1982-10-31,14693,1870
+BG,Bunge Global SA,Consumer Staples,Agricultural Products & Services,"Chesterfield, Missouri",2023-03-15,1996862,1818
+BIIB,Biogen,Health Care,Biotechnology,"Cambridge, Massachusetts",2003-11-13,875045,1978
+BIO,Bio-Rad,Health Care,Life Sciences Tools & Services,"Hercules, California",2020-06-22,12208,1952
+BK,Bank of New York Mellon,Financials,Asset Management & Custody Banks,"New York City, New York",1995-03-31,1390777,1784
+BKNG,Booking Holdings,Consumer Discretionary,"Hotels, Resorts & Cruise Lines","Norwalk, Connecticut",2009-11-06,1075531,1996
+BKR,Baker Hughes,Energy,Oil & Gas Equipment & Services,"Houston, Texas",2017-07-07,1701605,2017
+BLDR,Builders FirstSource,Industrials,Building Products,"Irving, Texas",2023-12-18,1316835,1998
+BLK,BlackRock,Financials,Asset Management & Custody Banks,"New York City, New York",2011-04-04,1364742,1988
+BMY,Bristol Myers Squibb,Health Care,Pharmaceuticals,"New York City, New York",1957-03-04,14272,1989 (1887)
+BR,Broadridge Financial Solutions,Industrials,Data Processing & Outsourced Services,"Lake Success, New York",2018-06-18,1383312,1962
+BRK.B,Berkshire Hathaway,Financials,Multi-Sector Holdings,"Omaha, Nebraska",2010-02-16,1067983,1839
+BRO,Brown & Brown,Financials,Insurance Brokers,"Daytona Beach, Florida",2021-09-20,79282,1939
+BSX,Boston Scientific,Health Care,Health Care Equipment,"Marlborough, Massachusetts",1995-02-24,885725,1979
+BWA,BorgWarner,Consumer Discretionary,Automotive Parts & Equipment,"Auburn Hills, Michigan",2011-12-19,908255,1880
+BX,Blackstone,Financials,Asset Management & Custody Banks,"New York City, New York",2023-09-18,1393818,1985
+BXP,Boston Properties,Real Estate,Office REITs,"Boston, Massachusetts",2006-04-03,1037540,1970
+C,Citigroup,Financials,Diversified Banks,"New York City, New York",1988-05-31,831001,1998
+CAG,Conagra Brands,Consumer Staples,Packaged Foods & Meats,"Chicago, Illinois",1983-08-31,23217,1919
+CAH,Cardinal Health,Health Care,Health Care Distributors,"Dublin, Ohio",1997-05-27,721371,1971
+CARR,Carrier Global,Industrials,Building Products,"Palm Beach Gardens, Florida",2020-04-03,1783180,"2020 (1915, United Technologies spinoff)"
+CAT,Caterpillar Inc.,Industrials,Construction Machinery & Heavy Transportation Equipment,"Irving, Texas",1957-03-04,18230,1925
+CB,Chubb Limited,Financials,Property & Casualty Insurance,"Zurich, Switzerland",2010-07-15,896159,1985
+CBOE,Cboe Global Markets,Financials,Financial Exchanges & Data,"Chicago, Illinois",2017-03-01,1374310,1973
+CBRE,CBRE Group,Real Estate,Real Estate Services,"Dallas, Texas",2006-11-10,1138118,1906
+CCI,Crown Castle,Real Estate,Telecom Tower REITs,"Houston, Texas",2012-03-14,1051470,1994
+CCL,Carnival,Consumer Discretionary,"Hotels, Resorts & Cruise Lines","Miami, Florida",1998-12-22,815097,1972
+CDNS,Cadence Design Systems,Information Technology,Application Software,"San Jose, California",2017-09-18,813672,1988
+CDW,CDW,Information Technology,Technology Distributors,"Lincolnshire, Illinois",2019-09-23,1402057,1984
+CE,Celanese,Materials,Specialty Chemicals,"Irving, Texas",2018-12-24,1306830,1918
+CEG,Constellation Energy,Utilities,Electric Utilities,"Baltimore, Maryland",2022-02-02,1868275,1999
+CF,CF Industries,Materials,Fertilizers & Agricultural Chemicals,"Deerfield, Illinois",2008-08-27,1324404,1946
+CFG,Citizens Financial Group,Financials,Regional Banks,"Providence, Rhode Island",2016-01-29,759944,1828
+CHD,Church & Dwight,Consumer Staples,Household Products,"Ewing, New Jersey",2015-12-29,313927,1847
+CHRW,CH Robinson,Industrials,Air Freight & Logistics,"Eden Prairie, Minnesota",2007-03-02,1043277,1905
+CHTR,Charter Communications,Communication Services,Cable & Satellite,"Stamford, Connecticut",2016-09-08,1091667,1993
+CI,Cigna,Health Care,Health Care Services,"Bloomfield, Connecticut",1976-06-30,1739940,1982
+CINF,Cincinnati Financial,Financials,Property & Casualty Insurance,"Fairfield, Ohio",1997-12-18,20286,1950
+CL,Colgate-Palmolive,Consumer Staples,Household Products,"New York City, New York",1957-03-04,21665,1806
+CLX,Clorox,Consumer Staples,Household Products,"Oakland, California",1969-03-31,21076,1913
+CMA,Comerica,Financials,Diversified Banks,"Dallas, Texas",1995-12-01,28412,1849
+CMCSA,Comcast,Communication Services,Cable & Satellite,"Philadelphia, Pennsylvania",2002-11-19,1166691,1963
+CME,CME Group,Financials,Financial Exchanges & Data,"Chicago, Illinois",2006-08-11,1156375,1848
+CMG,Chipotle Mexican Grill,Consumer Discretionary,Restaurants,"Newport Beach, California",2011-04-28,1058090,1993
+CMI,Cummins,Industrials,Construction Machinery & Heavy Transportation Equipment,"Columbus, Indiana",1965-03-31,26172,1919
+CMS,CMS Energy,Utilities,Multi-Utilities,"Jackson, Michigan",1957-03-04,811156,1886
+CNC,Centene Corporation,Health Care,Managed Health Care,"St. Louis, Missouri",2016-03-30,1071739,1984
+CNP,CenterPoint Energy,Utilities,Multi-Utilities,"Houston, Texas",1985-07-31,1130310,1882
+COF,Capital One,Financials,Consumer Finance,"Tysons Corner, Virginia",1998-07-01,927628,1994
+COO,CooperCompanies,Health Care,Health Care Supplies,"San Ramon, California",2016-09-23,711404,1958
+COP,ConocoPhillips,Energy,Oil & Gas Exploration & Production,"Houston, Texas",1957-03-04,1163165,2002
+COR,Cencora,Health Care,Health Care Distributors,"Conshohocken, Pennsylvania",2001-08-30,1140859,1985
+COST,Costco,Consumer Staples,Consumer Staples Merchandise Retail,"Issaquah, Washington",1993-10-01,909832,1976
+CPB,Campbell Soup Company,Consumer Staples,Packaged Foods & Meats,"Camden, New Jersey",1957-03-04,16732,1869
+CPRT,Copart,Industrials,Diversified Support Services,"Dallas, Texas",2018-07-02,900075,1982
+CPT,Camden Property Trust,Real Estate,Multi-Family Residential REITs,"Houston, Texas",2022-04-04,906345,1981
+CRL,Charles River Laboratories,Health Care,Life Sciences Tools & Services,"Wilmington, Massachusetts",2021-05-14,1100682,1947
+CRM,Salesforce,Information Technology,Application Software,"San Francisco, California",2008-09-15,1108524,1999
+CSCO,Cisco,Information Technology,Communications Equipment,"San Jose, California",1993-12-01,858877,1984
+CSGP,CoStar Group,Real Estate,Real Estate Services,"Washington, D.C.",2022-09-19,1057352,1987
+CSX,CSX,Industrials,Rail Transportation,"Jacksonville, Florida",1957-03-04,277948,1980
+CTAS,Cintas,Industrials,Diversified Support Services,"Mason, Ohio",2001-03-01,723254,1929
+CTLT,Catalent,Health Care,Pharmaceuticals,"Somerset, New Jersey",2020-09-21,1596783,2007
+CTRA,Coterra,Energy,Oil & Gas Exploration & Production,"Houston, Texas",2008-06-23,858470,2021 (1989)
+CTSH,Cognizant,Information Technology,IT Consulting & Other Services,"Teaneck, New Jersey",2006-11-17,1058290,1994
+CTVA,Corteva,Materials,Fertilizers & Agricultural Chemicals,"Indianapolis, Indiana",2019-06-03,1755672,2019
+CVS,CVS Health,Health Care,Health Care Services,"Woonsocket, Rhode Island",1957-03-04,64803,1996
+CVX,Chevron Corporation,Energy,Integrated Oil & Gas,"San Ramon, California",1957-03-04,93410,1879
+CZR,Caesars Entertainment,Consumer Discretionary,Casinos & Gaming,"Reno, Nevada",2021-03-22,1590895,1973
+D,Dominion Energy,Utilities,Multi-Utilities,"Richmond, Virginia",2016-11-30,715957,1983
+DAL,Delta Air Lines,Industrials,Passenger Airlines,"Atlanta, Georgia",2013-09-11,27904,1929
+DAY,Dayforce,Industrials,Human Resource & Employment Services,"Minneapolis, Minnesota",2021-09-20,1725057,1992
+DD,DuPont,Materials,Specialty Chemicals,"Wilmington, Delaware",2019-04-02,1666700,2017 (1802)
+DE,John Deere,Industrials,Agricultural & Farm Machinery,"Moline, Illinois",1957-03-04,315189,1837
+DECK,Deckers Brands,Consumer Discretionary,Footwear,"Goleta, California",2024-03-01,910521,1973
+DFS,Discover Financial,Financials,Consumer Finance,"Riverwoods, Illinois",2007-07-02,1393612,1985
+DG,Dollar General,Consumer Staples,Consumer Staples Merchandise Retail,"Goodlettsville, Tennessee",2012-12-03,29534,1939
+DGX,Quest Diagnostics,Health Care,Health Care Services,"Secaucus, New Jersey",2002-12-12,1022079,1967
+DHI,DR Horton,Consumer Discretionary,Homebuilding,"Arlington, Texas",2005-06-22,882184,1978
+DHR,Danaher Corporation,Health Care,Life Sciences Tools & Services,"Washington, D.C.",1998-11-18,313616,1969
+DIS,Walt Disney,Communication Services,Movies & Entertainment,"Burbank, California",1976-06-30,1744489,1923
+DLR,Digital Realty,Real Estate,Data Center REITs,"Austin, Texas",2016-05-18,1297996,2004
+DLTR,Dollar Tree,Consumer Staples,Consumer Staples Merchandise Retail,"Chesapeake, Virginia",2011-12-19,935703,1986
+DOC,Healthpeak,Real Estate,Health Care REITs,"Denver, Colorado",2008-03-31,765880,1985
+DOV,Dover Corporation,Industrials,Industrial Machinery & Supplies & Components,"Downers Grove, Illinois",1985-10-31,29905,1955
+DOW,Dow Inc.,Materials,Commodity Chemicals,"Midland, Michigan",2019-04-01,1751788,2019 (1897)
+DPZ,Domino's,Consumer Discretionary,Restaurants,"Ann Arbor, Michigan",2020-05-12,1286681,1960
+DRI,Darden Restaurants,Consumer Discretionary,Restaurants,"Orlando, Florida",1995-05-31,940944,1938
+DTE,DTE Energy,Utilities,Multi-Utilities,"Detroit, Michigan",1957-03-04,936340,1995
+DUK,Duke Energy,Utilities,Electric Utilities,"Charlotte, North Carolina",1976-06-30,1326160,1904
+DVA,DaVita Inc.,Health Care,Health Care Services,"Denver, Colorado",2008-07-31,927066,1979
+DVN,Devon Energy,Energy,Oil & Gas Exploration & Production,"Oklahoma City, Oklahoma",2000-08-30,1090012,1971
+DXCM,Dexcom,Health Care,Health Care Equipment,"San Diego, California",2020-05-12,1093557,1999
+EA,Electronic Arts,Communication Services,Interactive Home Entertainment,"Redwood City, California",2002-07-22,712515,1982
+EBAY,eBay,Consumer Discretionary,Broadline Retail,"San Jose, California",2002-07-22,1065088,1995
+ECL,Ecolab,Materials,Specialty Chemicals,"Saint Paul, Minnesota",1989-01-31,31462,1923
+ED,Consolidated Edison,Utilities,Multi-Utilities,"New York City, New York",1957-03-04,1047862,1823
+EFX,Equifax,Industrials,Research & Consulting Services,"Atlanta, Georgia",1997-06-19,33185,1899
+EG,Everest Re,Financials,Reinsurance,"Hamilton, Bermuda",2017-06-19,1095073,1973
+EIX,Edison International,Utilities,Electric Utilities,"Rosemead, California",1957-03-04,827052,1886
+EL,Estée Lauder Companies (The),Consumer Staples,Personal Care Products,"New York City, New York",2006-01-05,1001250,1946
+ELV,Elevance Health,Health Care,Managed Health Care,"Indianapolis, Indiana",2002-07-25,1156039,2014 (1946)
+EMN,Eastman Chemical Company,Materials,Specialty Chemicals,"Kingsport, Tennessee",1994-01-01,915389,1920
+EMR,Emerson Electric,Industrials,Electrical Components & Equipment,"Ferguson, Missouri",1965-03-31,32604,1890
+ENPH,Enphase,Information Technology,Semiconductor Materials & Equipment,"Fremont, California",2021-01-07,1463101,2006
+EOG,EOG Resources,Energy,Oil & Gas Exploration & Production,"Houston, Texas",2000-11-02,821189,1999
+EPAM,EPAM Systems,Information Technology,IT Consulting & Other Services,"Newtown, Pennsylvania",2021-12-14,1352010,1993
+EQIX,Equinix,Real Estate,Data Center REITs,"Redwood City, California",2015-03-20,1101239,1998
+EQR,Equity Residential,Real Estate,Multi-Family Residential REITs,"Chicago, Illinois",2001-12-03,906107,1969
+EQT,EQT,Energy,Oil & Gas Exploration & Production,"Pittsburgh, Pennsylvania",2022-10-03,33213,1888
+ES,Eversource,Utilities,Electric Utilities,"Hartford, Connecticut",2009-07-24,72741,1966
+ESS,Essex Property Trust,Real Estate,Multi-Family Residential REITs,"San Mateo, California",2014-04-02,920522,1971
+ETN,Eaton Corporation,Industrials,Electrical Components & Equipment,"Dublin, Ireland",1957-03-04,1551182,1911
+ETR,Entergy,Utilities,Electric Utilities,"New Orleans, Louisiana",1957-03-04,65984,1913
+ETSY,Etsy,Consumer Discretionary,Broadline Retail,"New York City, New York",2020-09-21,1370637,2005
+EVRG,Evergy,Utilities,Electric Utilities,"Kansas City, Missouri",2018-06-05,1711269,1909
+EW,Edwards Lifesciences,Health Care,Health Care Equipment,"Irvine, California",2011-04-01,1099800,1958
+EXC,Exelon,Utilities,Electric Utilities,"Chicago, Illinois",1957-03-04,1109357,2000
+EXPD,Expeditors International,Industrials,Air Freight & Logistics,"Seattle, Washington",2007-10-10,746515,1979
+EXPE,Expedia Group,Consumer Discretionary,"Hotels, Resorts & Cruise Lines","Seattle, Washington",2007-10-02,1324424,1996
+EXR,Extra Space Storage,Real Estate,Self-Storage REITs,"Salt Lake City, Utah",2016-01-19,1289490,1977
+F,Ford Motor Company,Consumer Discretionary,Automobile Manufacturers,"Dearborn, Michigan",1957-03-04,37996,1903
+FANG,Diamondback Energy,Energy,Oil & Gas Exploration & Production,"Midland, Texas",2018-12-03,1539838,2007
+FAST,Fastenal,Industrials,Trading Companies & Distributors,"Winona, Minnesota",2008-09-15,815556,1967
+FCX,Freeport-McMoRan,Materials,Copper,"Phoenix, Arizona",2011-07-01,831259,1912
+FDS,FactSet,Financials,Financial Exchanges & Data,"Norwalk, Connecticut",2021-12-20,1013237,1978
+FDX,FedEx,Industrials,Air Freight & Logistics,"Memphis, Tennessee",1980-12-31,1048911,1971
+FE,FirstEnergy,Utilities,Electric Utilities,"Akron, Ohio",1997-11-28,1031296,1997
+FFIV,"F5, Inc.",Information Technology,Communications Equipment,"Seattle, Washington",2010-12-20,1048695,1996
+FI,Fiserv,Financials,Transaction & Payment Processing Services,"Brookfield, Wisconsin",2001-04-02,798354,1984
+FICO,Fair Isaac,Information Technology,Application Software,"Bozeman, Montana",2023-03-20,814547,1956
+FIS,Fidelity National Information Services,Financials,Transaction & Payment Processing Services,"Jacksonville, Florida",2006-11-10,1136893,1968
+FITB,Fifth Third Bank,Financials,Diversified Banks,"Cincinnati, Ohio",1996-03-29,35527,1858
+FLT,Fleetcor,Financials,Transaction & Payment Processing Services,"Atlanta, Georgia",2018-06-20,1175454,2000
+FMC,FMC Corporation,Materials,Fertilizers & Agricultural Chemicals,"Philadelphia, Pennsylvania",2009-08-19,37785,1883
+FOX,Fox Corporation (Class B),Communication Services,Broadcasting,"New York City, New York",2019-03-04,1754301,2019
+FOXA,Fox Corporation (Class A),Communication Services,Broadcasting,"New York City, New York",2019-03-04,1754301,2019
+FRT,Federal Realty,Real Estate,Retail REITs,"Rockville, Maryland",2016-02-01,34903,1962
+FSLR,First Solar,Information Technology,Semiconductors,"Tempe, Arizona",2022-12-19,1274494,1999
+FTNT,Fortinet,Information Technology,Systems Software,"Sunnyvale, California",2018-10-11,1262039,2000
+FTV,Fortive,Industrials,Industrial Machinery & Supplies & Components,"Everett, Washington",2016-07-01,1659166,2016
+GD,General Dynamics,Industrials,Aerospace & Defense,"Falls Church, Virginia",1957-03-04,40533,1899
+GE,General Electric,Industrials,Industrial Conglomerates,"Boston, Massachusetts",1957-03-04,40545,1892
+GEHC,GE HealthCare,Health Care,Health Care Equipment,"Chicago, Illinois",2023-01-04,1932393,1994
+GEN,Gen Digital,Information Technology,Systems Software,"Tempe, Arizona",2003-03-25,849399,1982
+GILD,Gilead Sciences,Health Care,Biotechnology,"Foster City, California",2004-07-01,882095,1987
+GIS,General Mills,Consumer Staples,Packaged Foods & Meats,"Golden Valley, Minnesota",1957-03-04,40704,1856
+GL,Globe Life,Financials,Life & Health Insurance,"McKinney, Texas",1989-04-30,320335,1900
+GLW,Corning Inc.,Information Technology,Electronic Components,"Corning, New York",1995-02-27,24741,1851
+GM,General Motors,Consumer Discretionary,Automobile Manufacturers,"Detroit, Michigan",2013-06-06,1467858,1908
+GNRC,Generac,Industrials,Electrical Components & Equipment,"Waukesha, Wisconsin",2021-03-22,1474735,1959
+GOOG,Alphabet Inc. (Class C),Communication Services,Interactive Media & Services,"Mountain View, California",2006-04-03,1652044,1998
+GOOGL,Alphabet Inc. (Class A),Communication Services,Interactive Media & Services,"Mountain View, California",2014-04-03,1652044,1998
+GPC,Genuine Parts Company,Consumer Discretionary,Distributors,"Atlanta, Georgia",1973-12-31,40987,1925
+GPN,Global Payments,Financials,Transaction & Payment Processing Services,"Atlanta, Georgia",2016-04-25,1123360,2000
+GRMN,Garmin,Consumer Discretionary,Consumer Electronics,"Schaffhausen, Switzerland",2012-12-12,1121788,1989
+GS,Goldman Sachs,Financials,Investment Banking & Brokerage,"New York City, New York",2002-07-22,886982,1869
+GWW,W. W. Grainger,Industrials,Industrial Machinery & Supplies & Components,"Lake Forest, Illinois",1981-06-30,277135,1927
+HAL,Halliburton,Energy,Oil & Gas Equipment & Services,"Houston, Texas",1957-03-04,45012,1919
+HAS,Hasbro,Consumer Discretionary,Leisure Products,"Pawtucket, Rhode Island",1984-09-30,46080,1923
+HBAN,Huntington Bancshares,Financials,Regional Banks,"Columbus, Ohio; Detroit, Michigan",1997-08-28,49196,1866
+HCA,HCA Healthcare,Health Care,Health Care Facilities,"Nashville, Tennessee",2015-01-27,860730,1968
+HD,Home Depot (The),Consumer Discretionary,Home Improvement Retail,"Atlanta, Georgia",1988-03-31,354950,1978
+HES,Hess Corporation,Energy,Integrated Oil & Gas,"New York City, New York",1984-05-31,4447,1919
+HIG,Hartford (The),Financials,Property & Casualty Insurance,"Hartford, Connecticut",1957-03-04,874766,1810
+HII,Huntington Ingalls Industries,Industrials,Aerospace & Defense,"Newport News, Virginia",2018-01-03,1501585,2011
+HLT,Hilton Worldwide,Consumer Discretionary,"Hotels, Resorts & Cruise Lines","Tysons Corner, Virginia",2017-06-19,1585689,1919
+HOLX,Hologic,Health Care,Health Care Equipment,"Marlborough, Massachusetts",2016-03-30,859737,1985
+HON,Honeywell,Industrials,Industrial Conglomerates,"Charlotte, North Carolina",1957-03-04,773840,1906
+HPE,Hewlett Packard Enterprise,Information Technology,"Technology Hardware, Storage & Peripherals","Houston, Texas",2015-11-02,1645590,2015
+HPQ,HP Inc.,Information Technology,"Technology Hardware, Storage & Peripherals","Palo Alto, California",1974-12-31,47217,1939 (2015)
+HRL,Hormel Foods,Consumer Staples,Packaged Foods & Meats,"Austin, Minnesota",2009-03-04,48465,1891
+HSIC,Henry Schein,Health Care,Health Care Distributors,"Melville, New York",2015-03-17,1000228,1932
+HST,Host Hotels & Resorts,Real Estate,Hotel & Resort REITs,"Bethesda, Maryland",2007-03-20,1070750,1993
+HSY,Hershey's,Consumer Staples,Packaged Foods & Meats,"Hershey, Pennsylvania",1957-03-04,47111,1894
+HUBB,Hubbell Incorporated,Industrials,Industrial Machinery & Supplies & Components,"Shelton, Connecticut",2023-10-18,48898,1888
+HUM,Humana,Health Care,Managed Health Care,"Louisville, Kentucky",2012-12-10,49071,1961
+HWM,Howmet Aerospace,Industrials,Aerospace & Defense,"Pittsburgh, Pennsylvania",2016-10-21,4281,1888
+IBM,IBM,Information Technology,IT Consulting & Other Services,"Armonk, New York",1957-03-04,51143,1911
+ICE,Intercontinental Exchange,Financials,Financial Exchanges & Data,"Atlanta, Georgia",2007-09-26,1571949,2000
+IDXX,Idexx Laboratories,Health Care,Health Care Equipment,"Westbrook, Maine",2017-01-05,874716,1983
+IEX,IDEX Corporation,Industrials,Industrial Machinery & Supplies & Components,"Lake Forest, Illinois",2019-08-09,832101,1988
+IFF,International Flavors & Fragrances,Materials,Specialty Chemicals,"New York City, New York",1976-03-31,51253,1958 (1889)
+ILMN,Illumina,Health Care,Life Sciences Tools & Services,"San Diego, California",2015-11-19,1110803,1998
+INCY,Incyte,Health Care,Biotechnology,"Wilmington, Delaware",2017-02-28,879169,1991
+INTC,Intel,Information Technology,Semiconductors,"Santa Clara, California",1976-12-31,50863,1968
+INTU,Intuit,Information Technology,Application Software,"Mountain View, California",2000-12-05,896878,1983
+INVH,Invitation Homes,Real Estate,Single-Family Residential REITs,"Dallas, Texas",2022-09-19,1687229,2012
+IP,International Paper,Materials,Paper & Plastic Packaging Products & Materials,"Memphis, Tennessee",1957-03-04,51434,1898
+IPG,Interpublic Group of Companies (The),Communication Services,Advertising,"New York City, New York",1992-10-01,51644,1961 (1930)
+IQV,IQVIA,Health Care,Life Sciences Tools & Services,"Durham, North Carolina",2017-08-29,1478242,1982
+IR,Ingersoll Rand,Industrials,Industrial Machinery & Supplies & Components,"Davidson, North Carolina",2020-03-03,1699150,1859
+IRM,Iron Mountain,Real Estate,Other Specialized REITs,"Boston, Massachusetts",2009-01-06,1020569,1951
+ISRG,Intuitive Surgical,Health Care,Health Care Equipment,"Sunnyvale, California",2008-06-02,1035267,1995
+IT,Gartner,Information Technology,IT Consulting & Other Services,"Stamford, Connecticut",2017-04-05,749251,1979
+ITW,Illinois Tool Works,Industrials,Industrial Machinery & Supplies & Components,"Glenview, Illinois",1986-02-28,49826,1912
+IVZ,Invesco,Financials,Asset Management & Custody Banks,"Atlanta, Georgia",2008-08-21,914208,1935
+J,Jacobs Solutions,Industrials,Construction & Engineering,"Dallas, Texas",2007-10-26,52988,1947
+JBHT,J.B. Hunt,Industrials,Cargo Ground Transportation,"Lowell, Arkansas",2015-07-01,728535,1961
+JBL,Jabil,Information Technology,Electronic Manufacturing Services,"St. Petersburg, Florida",2023-12-18,898293,1966
+JCI,Johnson Controls,Industrials,Building Products,"Cork, Ireland",2010-08-27,833444,1885
+JKHY,Jack Henry & Associates,Financials,Transaction & Payment Processing Services,"Monett, Missouri",2018-11-13,779152,1976
+JNJ,Johnson & Johnson,Health Care,Pharmaceuticals,"New Brunswick, New Jersey",1973-06-30,200406,1886
+JNPR,Juniper Networks,Information Technology,Communications Equipment,"Sunnyvale, California",2006-06-02,1043604,1996
+JPM,JPMorgan Chase,Financials,Diversified Banks,"New York City, New York",1975-06-30,19617,2000 (1799 / 1871)
+K,Kellanova,Consumer Staples,Packaged Foods & Meats,"Chicago, Illinois",1989-09-11,55067,1906
+KDP,Keurig Dr Pepper,Consumer Staples,Soft Drinks & Non-alcoholic Beverages,"Burlington, Massachusetts",2022-06-21,1418135,1981
+KEY,KeyCorp,Financials,Regional Banks,"Cleveland, Ohio",1994-03-01,91576,1825
+KEYS,Keysight,Information Technology,Electronic Equipment & Instruments,"Santa Rosa, California",2018-11-06,1601046,2014 (1939)
+KHC,Kraft Heinz,Consumer Staples,Packaged Foods & Meats,"Chicago, Illinois; Pittsburgh, Pennsylvania",2015-07-06,1637459,2015 (1869)
+KIM,Kimco Realty,Real Estate,Retail REITs,"New Hyde Park, New York",2006-04-04,879101,1958
+KLAC,KLA Corporation,Information Technology,Semiconductor Materials & Equipment,"Milpitas, California",1997-09-30,319201,1975/1977 (1997)
+KMB,Kimberly-Clark,Consumer Staples,Household Products,"Irving, Texas",1957-03-04,55785,1872
+KMI,Kinder Morgan,Energy,Oil & Gas Storage & Transportation,"Houston, Texas",2012-05-25,1506307,1997
+KMX,CarMax,Consumer Discretionary,Automotive Retail,"Richmond, Virginia",2010-06-28,1170010,1993
+KO,Coca-Cola Company (The),Consumer Staples,Soft Drinks & Non-alcoholic Beverages,"Atlanta, Georgia",1957-03-04,21344,1886
+KR,Kroger,Consumer Staples,Food Retail,"Cincinnati, Ohio",1957-03-04,56873,1883
+KVUE,Kenvue,Consumer Staples,Personal Care Products,"Skillman, New Jersey",2023-08-25,1944048,2022 (Johnson & Johnson spinoff)
+L,Loews Corporation,Financials,Multi-line Insurance,"New York City, New York",1995-05-31,60086,1959
+LDOS,Leidos,Industrials,Diversified Support Services,"Reston, Virginia",2019-08-09,1336920,1969
+LEN,Lennar,Consumer Discretionary,Homebuilding,"Miami, Florida",2005-10-04,920760,1954
+LH,LabCorp,Health Care,Health Care Services,"Burlington, North Carolina",2004-11-01,920148,1978
+LHX,L3Harris,Industrials,Aerospace & Defense,"Melbourne, Florida",2008-09-22,202058,"2019 (L3 1997, Harris 1895)"
+LIN,Linde plc,Materials,Industrial Gases,"Guildford, United Kingdom",1992-07-01,1707925,1879
+LKQ,LKQ Corporation,Consumer Discretionary,Distributors,"Chicago, Illinois",2016-05-23,1065696,1998
+LLY,Eli Lilly and Company,Health Care,Pharmaceuticals,"Indianapolis, Indiana",1970-12-31,59478,1876
+LMT,Lockheed Martin,Industrials,Aerospace & Defense,"Bethesda, Maryland",1957-03-04,936468,1995
+LNT,Alliant Energy,Utilities,Electric Utilities,"Madison, Wisconsin",2016-07-01,352541,1917
+LOW,Lowe's,Consumer Discretionary,Home Improvement Retail,"Mooresville, North Carolina",1984-02-29,60667,1904/1946/1959
+LRCX,Lam Research,Information Technology,Semiconductor Materials & Equipment,"Fremont, California",2012-06-29,707549,1980
+LULU,Lululemon Athletica,Consumer Discretionary,"Apparel, Accessories & Luxury Goods","Vancouver, Canada",2023-10-18,1397187,1998
+LUV,Southwest Airlines,Industrials,Passenger Airlines,"Dallas, Texas",1994-07-01,92380,1967
+LVS,Las Vegas Sands,Consumer Discretionary,Casinos & Gaming,"Las Vegas, Nevada",2019-10-03,1300514,1988
+LW,Lamb Weston,Consumer Staples,Packaged Foods & Meats,"Eagle, Idaho",2018-12-03,1679273,2016 (1950)
+LYB,LyondellBasell,Materials,Specialty Chemicals,"Rotterdam, Netherlands",2012-09-05,1489393,2007
+LYV,Live Nation Entertainment,Communication Services,Movies & Entertainment,"Beverly Hills, California",2019-12-23,1335258,2010
+MA,Mastercard,Financials,Transaction & Payment Processing Services,"Harrison, New York",2008-07-18,1141391,1966
+MAA,Mid-America Apartment Communities,Real Estate,Multi-Family Residential REITs,"Memphis, Tennessee",2016-12-02,912595,1977
+MAR,Marriott International,Consumer Discretionary,"Hotels, Resorts & Cruise Lines","Bethesda, Maryland",1998-05-29,1048286,1927
+MAS,Masco,Industrials,Building Products,"Livonia, Michigan",1981-06-30,62996,1929
+MCD,McDonald's,Consumer Discretionary,Restaurants,"Chicago, Illinois",1970-06-30,63908,1940
+MCHP,Microchip Technology,Information Technology,Semiconductors,"Chandler, Arizona",2007-09-07,827054,1989
+MCK,McKesson,Health Care,Health Care Distributors,"Irving, Texas",1999-01-13,927653,1833
+MCO,Moody's Corporation,Financials,Financial Exchanges & Data,"New York City, New York",1998-07-01,1059556,1909
+MDLZ,Mondelez International,Consumer Staples,Packaged Foods & Meats,"Chicago, Illinois",2012-10-02,1103982,2012
+MDT,Medtronic,Health Care,Health Care Equipment,"Dublin, Ireland",1986-10-31,1613103,1949
+MET,MetLife,Financials,Life & Health Insurance,"New York City, New York",2000-12-11,1099219,1868
+META,Meta Platforms,Communication Services,Interactive Media & Services,"Menlo Park, California",2013-12-23,1326801,2004
+MGM,MGM Resorts,Consumer Discretionary,Casinos & Gaming,"Paradise, Nevada",2017-07-26,789570,1986
+MHK,Mohawk Industries,Consumer Discretionary,Home Furnishings,"Calhoun, Georgia",2013-12-23,851968,1878
+MKC,McCormick & Company,Consumer Staples,Packaged Foods & Meats,"Hunt Valley, Maryland",2003-03-20,63754,1889
+MKTX,MarketAxess,Financials,Financial Exchanges & Data,"New York City, New York",2019-07-01,1278021,2000
+MLM,Martin Marietta Materials,Materials,Construction Materials,"Raleigh, North Carolina",2014-07-02,916076,1993
+MMC,Marsh McLennan,Financials,Insurance Brokers,"New York City, New York",1987-08-31,62709,1905
+MMM,3M,Industrials,Industrial Conglomerates,"Saint Paul, Minnesota",1957-03-04,66740,1902
+MNST,Monster Beverage,Consumer Staples,Soft Drinks & Non-alcoholic Beverages,"Corona, California",2012-06-28,865752,2012 (1935)
+MO,Altria,Consumer Staples,Tobacco,"Richmond, Virginia",1957-03-04,764180,1985
+MOH,Molina Healthcare,Health Care,Managed Health Care,"Long Beach, California",2022-03-02,1179929,1980
+MOS,Mosaic Company (The),Materials,Fertilizers & Agricultural Chemicals,"Tampa, Florida",2011-09-26,1285785,2004 (1865 / 1909)
+MPC,Marathon Petroleum,Energy,Oil & Gas Refining & Marketing,"Findlay, Ohio",2011-07-01,1510295,2009 (1887)
+MPWR,Monolithic Power Systems,Information Technology,Semiconductors,"Kirkland, Washington",2021-02-12,1280452,1997
+MRK,Merck & Co.,Health Care,Pharmaceuticals,"Kenilworth, New Jersey",1957-03-04,310158,1891
+MRNA,Moderna,Health Care,Biotechnology,"Cambridge, Massachusetts",2021-07-21,1682852,2010
+MRO,Marathon Oil,Energy,Oil & Gas Exploration & Production,"Houston, Texas",1957-03-04,101778,1887
+MS,Morgan Stanley,Financials,Investment Banking & Brokerage,"New York City, New York",1993-07-29,895421,1935
+MSCI,MSCI,Financials,Financial Exchanges & Data,"New York City, New York",2018-04-04,1408198,1969
+MSFT,Microsoft,Information Technology,Systems Software,"Redmond, Washington",1994-06-01,789019,1975
+MSI,Motorola Solutions,Information Technology,Communications Equipment,"Chicago, Illinois",1957-03-04,68505,1928 (2011)
+MTB,M&T Bank,Financials,Regional Banks,"Buffalo, New York",2004-02-23,36270,1856
+MTCH,Match Group,Communication Services,Interactive Media & Services,"Dallas, Texas",2021-09-20,891103,1986
+MTD,Mettler Toledo,Health Care,Life Sciences Tools & Services,"Columbus, Ohio",2016-09-06,1037646,1945
+MU,Micron Technology,Information Technology,Semiconductors,"Boise, Idaho",1994-09-27,723125,1978
+NCLH,Norwegian Cruise Line Holdings,Consumer Discretionary,"Hotels, Resorts & Cruise Lines","Miami, Florida",2017-10-13,1513761,2011 (1966)
+NDAQ,"Nasdaq, Inc.",Financials,Financial Exchanges & Data,"New York City, New York",2008-10-22,1120193,1971
+NDSN,Nordson Corporation,Industrials,Industrial Machinery & Supplies & Components,"Westlake, Ohio",2022-02-15,72331,1935
+NEE,NextEra Energy,Utilities,Multi-Utilities,"Juno Beach, Florida",1976-06-30,753308,1984 (1925)
+NEM,Newmont,Materials,Gold,"Denver, Colorado",1969-06-30,1164727,1921
+NFLX,Netflix,Communication Services,Movies & Entertainment,"Los Gatos, California",2010-12-20,1065280,1997
+NI,NiSource,Utilities,Multi-Utilities,"Merrillville, Indiana",2000-11-02,1111711,1912
+NKE,"Nike, Inc.",Consumer Discretionary,"Apparel, Accessories & Luxury Goods","Washington County, Oregon",1988-11-30,320187,1964
+NOC,Northrop Grumman,Industrials,Aerospace & Defense,"West Falls Church, Virginia",1957-03-04,1133421,"1994 (Northrop 1939, Grumman 1930)"
+NOW,ServiceNow,Information Technology,Systems Software,"Santa Clara, California",2019-11-21,1373715,2003
+NRG,NRG Energy,Utilities,Independent Power Producers & Energy Traders,"Houston, Texas",2010-01-29,1013871,1992
+NSC,Norfolk Southern Railway,Industrials,Rail Transportation,"Atlanta, Georgia",1957-03-04,702165,1881/1894 (1980)
+NTAP,NetApp,Information Technology,"Technology Hardware, Storage & Peripherals","San Jose, California",1999-06-25,1002047,1992
+NTRS,Northern Trust,Financials,Asset Management & Custody Banks,"Chicago, Illinois",1998-01-30,73124,1889
+NUE,Nucor,Materials,Steel,"Charlotte, North Carolina",1985-04-30,73309,1940
+NVDA,Nvidia,Information Technology,Semiconductors,"Santa Clara, California",2001-11-30,1045810,1993
+NVR,"NVR, Inc.",Consumer Discretionary,Homebuilding,"Reston, Virginia",2019-09-26,906163,1980
+NWS,News Corp (Class B),Communication Services,Publishing,"New York City, New York",2015-09-18,1564708,2013 (News Corporation 1980)
+NWSA,News Corp (Class A),Communication Services,Publishing,"New York City, New York",2013-08-01,1564708,2013 (News Corporation 1980)
+NXPI,NXP Semiconductors,Information Technology,Semiconductors,"Eindhoven, Netherlands",2021-03-22,1413447,1953
+O,Realty Income,Real Estate,Retail REITs,"San Diego, California",2015-04-07,726728,1969
+ODFL,Old Dominion,Industrials,Cargo Ground Transportation,"Thomasville, North Carolina",2019-12-09,878927,1934
+OKE,ONEOK,Energy,Oil & Gas Storage & Transportation,"Tulsa, Oklahoma",2010-03-15,1039684,1906
+OMC,Omnicom Group,Communication Services,Advertising,"New York City, New York",1997-12-31,29989,1986
+ON,ON Semiconductor,Information Technology,Semiconductors,"Phoenix, Arizona",2022-06-21,1097864,1999
+ORCL,Oracle Corporation,Information Technology,Application Software,"Austin, Texas",1989-08-31,1341439,1977
+ORLY,O'Reilly Auto Parts,Consumer Discretionary,Automotive Retail,"Springfield, Missouri",2009-03-27,898173,1957
+OTIS,Otis Worldwide,Industrials,Industrial Machinery & Supplies & Components,"Farmington, Connecticut",2020-04-03,1781335,"2020 (1853, United Technologies spinoff)"
+OXY,Occidental Petroleum,Energy,Oil & Gas Exploration & Production,"Houston, Texas",1957-03-04,797468,1920
+PANW,Palo Alto Networks,Information Technology,Systems Software,"Santa Clara, California",2023-06-20,1327567,2005
+PARA,Paramount Global,Communication Services,Movies & Entertainment,"New York City, New York",1994-09-30,813828,2019 (Paramount Pictures 1912)
+PAYC,Paycom,Industrials,Human Resource & Employment Services,"Oklahoma City, Oklahoma",2020-01-28,1590955,1998
+PAYX,Paychex,Industrials,Human Resource & Employment Services,"Penfield, New York",1998-10-01,723531,1971
+PCAR,Paccar,Industrials,Construction Machinery & Heavy Transportation Equipment,"Bellevue, Washington",1980-12-31,75362,1905
+PCG,PG&E Corporation,Utilities,Multi-Utilities,"San Francisco, California",2022-10-03,1004980,1905
+PEG,Public Service Enterprise Group,Utilities,Electric Utilities,"Newark, New Jersey",1957-03-04,788784,1903
+PEP,PepsiCo,Consumer Staples,Soft Drinks & Non-alcoholic Beverages,"Purchase, New York",1957-03-04,77476,1898
+PFE,Pfizer,Health Care,Pharmaceuticals,"New York City, New York",1957-03-04,78003,1849
+PFG,Principal Financial Group,Financials,Life & Health Insurance,"Des Moines, Iowa",2002-07-22,1126328,1879
+PG,Procter & Gamble,Consumer Staples,Personal Care Products,"Cincinnati, Ohio",1957-03-04,80424,1837
+PGR,Progressive Corporation,Financials,Property & Casualty Insurance,"Mayfield Village, Ohio",1997-08-04,80661,1937
+PH,Parker Hannifin,Industrials,Industrial Machinery & Supplies & Components,"Cleveland, Ohio",1985-11-30,76334,1917
+PHM,PulteGroup,Consumer Discretionary,Homebuilding,"Atlanta, Georgia",1984-04-30,822416,1956
+PKG,Packaging Corporation of America,Materials,Paper & Plastic Packaging Products & Materials,"Lake Forest, Illinois",2017-07-26,75677,1959
+PLD,Prologis,Real Estate,Industrial REITs,"San Francisco, California",2003-07-17,1045609,1983
+PM,Philip Morris International,Consumer Staples,Tobacco,"New York City, New York",2008-03-31,1413329,2008 (1847)
+PNC,PNC Financial Services,Financials,Regional Banks,"Pittsburgh, Pennsylvania",1988-04-30,713676,1845
+PNR,Pentair,Industrials,Industrial Machinery & Supplies & Components,"Worsley, United Kingdom",2012-10-01,77360,1966
+PNW,Pinnacle West,Utilities,Multi-Utilities,"Phoenix, Arizona",1999-10-04,764622,1985
+PODD,Insulet,Health Care,Health Care Equipment,"Acton, Massachusetts",2023-03-15,1145197,2000
+POOL,Pool Corporation,Consumer Discretionary,Distributors,"Covington, Louisiana",2020-10-07,945841,1993
+PPG,PPG Industries,Materials,Specialty Chemicals,"Pittsburgh, Pennsylvania",1957-03-04,79879,1883
+PPL,PPL Corporation,Utilities,Electric Utilities,"Allentown, Pennsylvania",2001-10-01,922224,1920
+PRU,Prudential Financial,Financials,Life & Health Insurance,"Newark, New Jersey",2002-07-22,1137774,1875
+PSA,Public Storage,Real Estate,Self-Storage REITs,"Glendale, California",2005-08-19,1393311,1972
+PSX,Phillips 66,Energy,Oil & Gas Refining & Marketing,"Houston, Texas",2012-05-01,1534701,2012 (1917)
+PTC,PTC,Information Technology,Application Software,"Boston, Massachusetts",2021-04-20,857005,1985
+PWR,Quanta Services,Industrials,Construction & Engineering,"Houston, Texas",2009-07-01,1050915,1997
+PXD,Pioneer Natural Resources,Energy,Oil & Gas Exploration & Production,"Irving, Texas",2008-09-24,1038357,1997
+PYPL,PayPal,Financials,Transaction & Payment Processing Services,"San Jose, California",2015-07-20,1633917,1998
+QCOM,Qualcomm,Information Technology,Semiconductors,"San Diego, California",1999-07-22,804328,1985
+QRVO,Qorvo,Information Technology,Semiconductors,"Greensboro, North Carolina",2015-06-11,1604778,2015
+RCL,Royal Caribbean Group,Consumer Discretionary,"Hotels, Resorts & Cruise Lines","Miami, Florida",2014-12-05,884887,1997
+REG,Regency Centers,Real Estate,Retail REITs,"Jacksonville, Florida",2017-03-02,910606,1963
+REGN,Regeneron,Health Care,Biotechnology,"Tarrytown, New York",2013-05-01,872589,1988
+RF,Regions Financial Corporation,Financials,Regional Banks,"Birmingham, Alabama",1998-08-28,1281761,1971
+RHI,Robert Half,Industrials,Human Resource & Employment Services,"Menlo Park, California",2000-12-05,315213,1948
+RJF,Raymond James,Financials,Investment Banking & Brokerage,"St. Petersburg, Florida",2017-03-20,720005,1962
+RL,Ralph Lauren Corporation,Consumer Discretionary,"Apparel, Accessories & Luxury Goods","New York City, New York",2007-02-02,1037038,1967
+RMD,ResMed,Health Care,Health Care Equipment,"San Diego, California",2017-07-26,943819,1989
+ROK,Rockwell Automation,Industrials,Electrical Components & Equipment,"Milwaukee, Wisconsin",2000-03-12,1024478,1903
+ROL,"Rollins, Inc.",Industrials,Environmental & Facilities Services,"Atlanta, Georgia",2018-10-01,84839,1948
+ROP,Roper Technologies,Information Technology,Electronic Equipment & Instruments,"Sarasota, Florida",2009-12-23,882835,1981
+ROST,Ross Stores,Consumer Discretionary,Apparel Retail,"Dublin, California",2009-12-21,745732,1982
+RSG,Republic Services,Industrials,Environmental & Facilities Services,"Phoenix, Arizona",2008-12-05,1060391,1998 (1981)
+RTX,RTX Corporation,Industrials,Aerospace & Defense,"Waltham, Massachusetts",1957-03-04,101829,1922
+RVTY,Revvity,Health Care,Health Care Equipment,"Waltham, Massachusetts",1985-05-31,31791,1937
+SBAC,SBA Communications,Real Estate,Telecom Tower REITs,"Boca Raton, Florida",2017-09-01,1034054,1989
+SBUX,Starbucks,Consumer Discretionary,Restaurants,"Seattle, Washington",2000-06-07,829224,1971
+SCHW,Charles Schwab Corporation,Financials,Investment Banking & Brokerage,"Westlake, Texas",1997-06-02,316709,1971
+SHW,Sherwin-Williams,Materials,Specialty Chemicals,"Cleveland, Ohio",1964-06-30,89800,1866
+SJM,J.M. Smucker Company (The),Consumer Staples,Packaged Foods & Meats,"Orrville, Ohio",2008-11-06,91419,1897
+SLB,Schlumberger,Energy,Oil & Gas Equipment & Services,"Houston, Texas",1957-03-04,87347,1926
+SMCI,Supermicro,Information Technology,"Technology Hardware, Storage & Peripherals","San Jose, California",2024-03-18,1375365,1993
+SNA,Snap-on,Industrials,Industrial Machinery & Supplies & Components,"Kenosha, Wisconsin",1982-09-30,91440,1920
+SNPS,Synopsys,Information Technology,Application Software,"Sunnyvale, California",2017-03-16,883241,1986
+SO,Southern Company,Utilities,Electric Utilities,"Atlanta, Georgia",1957-03-04,92122,1945
+SPG,Simon Property Group,Real Estate,Retail REITs,"Indianapolis, Indiana",2002-06-26,1063761,2003
+SPGI,S&P Global,Financials,Financial Exchanges & Data,"New York City, New York",1957-03-04,64040,1917
+SRE,Sempra Energy,Utilities,Multi-Utilities,"San Diego, California",2017-03-17,1032208,1998
+STE,Steris,Health Care,Health Care Equipment,"Dublin, Ireland",2019-12-23,1757898,1985
+STLD,Steel Dynamics,Materials,Steel,"Fort Wayne, Indiana",2022-12-22,1022671,1993
+STT,State Street Corporation,Financials,Asset Management & Custody Banks,"Boston, Massachusetts",2003-03-14,93751,1792
+STX,Seagate Technology,Information Technology,"Technology Hardware, Storage & Peripherals","Dublin, Ireland",2012-07-02,1137789,1979
+STZ,Constellation Brands,Consumer Staples,Distillers & Vintners,"Victor, New York",2005-07-01,16918,1945
+SWK,Stanley Black & Decker,Industrials,Industrial Machinery & Supplies & Components,"New Britain, Connecticut",1982-09-30,93556,1843
+SWKS,Skyworks Solutions,Information Technology,Semiconductors,"Irvine, California",2015-03-12,4127,2002
+SYF,Synchrony Financial,Financials,Consumer Finance,"Stamford, Connecticut",2015-11-18,1601712,2003
+SYK,Stryker Corporation,Health Care,Health Care Equipment,"Kalamazoo, Michigan",2000-12-12,310764,1941
+SYY,Sysco,Consumer Staples,Food Distributors,"Houston, Texas",1986-12-31,96021,1969
+T,AT&T,Communication Services,Integrated Telecommunication Services,"Dallas, Texas",1983-11-30,732717,1983 (1885)
+TAP,Molson Coors Beverage Company,Consumer Staples,Brewers,"Chicago, Illinois",1976-06-30,24545,"2005 (Molson 1786, Coors 1873)"
+TDG,TransDigm Group,Industrials,Aerospace & Defense,"Cleveland, Ohio",2016-06-03,1260221,1993
+TDY,Teledyne Technologies,Information Technology,Electronic Equipment & Instruments,"Thousand Oaks, California",2020-06-22,1094285,1960
+TECH,Bio-Techne,Health Care,Life Sciences Tools & Services,"Minneapolis, Minnesota",2021-08-30,842023,1976
+TEL,TE Connectivity,Information Technology,Electronic Manufacturing Services,"Schaffhausen, Switzerland",2011-10-17,1385157,2007
+TER,Teradyne,Information Technology,Semiconductor Materials & Equipment,"North Reading, Massachusetts",2020-09-21,97210,1960
+TFC,Truist,Financials,Regional Banks,"Charlotte, North Carolina",1997-12-04,92230,1872
+TFX,Teleflex,Health Care,Health Care Equipment,"Wayne, Pennsylvania",2019-01-18,96943,1943
+TGT,Target Corporation,Consumer Staples,Consumer Staples Merchandise Retail,"Minneapolis, Minnesota",1976-12-31,27419,1902
+TJX,TJX Companies,Consumer Discretionary,Apparel Retail,"Framingham, Massachusetts",1985-09-30,109198,1987
+TMO,Thermo Fisher Scientific,Health Care,Life Sciences Tools & Services,"Waltham, Massachusetts",2004-08-03,97745,2006 (1902)
+TMUS,T-Mobile US,Communication Services,Wireless Telecommunication Services,"Bellevue, Washington",2019-07-15,1283699,1994
+TPR,"Tapestry, Inc.",Consumer Discretionary,"Apparel, Accessories & Luxury Goods","New York City, New York",2004-09-01,1116132,2017
+TRGP,Targa Resources,Energy,Oil & Gas Storage & Transportation,"Houston, Texas",2022-10-12,1389170,2005
+TRMB,Trimble Inc.,Information Technology,Electronic Equipment & Instruments,"Westminster, Colorado",2021-01-21,864749,1978
+TROW,T. Rowe Price,Financials,Asset Management & Custody Banks,"Baltimore, Maryland",2019-07-29,1113169,1937
+TRV,Travelers Companies (The),Financials,Property & Casualty Insurance,"New York City, New York",2002-08-21,86312,1853
+TSCO,Tractor Supply,Consumer Discretionary,Other Specialty Retail,"Brentwood, Tennessee",2014-01-24,916365,1938
+TSLA,"Tesla, Inc.",Consumer Discretionary,Automobile Manufacturers,"Austin, Texas",2020-12-21,1318605,2003
+TSN,Tyson Foods,Consumer Staples,Packaged Foods & Meats,"Springdale, Arkansas",2005-08-10,100493,1935
+TT,Trane Technologies,Industrials,Building Products,"Dublin, Ireland",2010-11-17,1466258,1871
+TTWO,Take-Two Interactive,Communication Services,Interactive Home Entertainment,"New York City, New York",2018-03-19,946581,1993
+TXN,Texas Instruments,Information Technology,Semiconductors,"Dallas, Texas",2001-03-12,97476,1930
+TXT,Textron,Industrials,Aerospace & Defense,"Providence, Rhode Island",1978-12-31,217346,1923
+TYL,Tyler Technologies,Information Technology,Application Software,"Plano, Texas",2020-06-22,860731,1966
+UAL,United Airlines Holdings,Industrials,Passenger Airlines,"Chicago, Illinois",2015-09-03,100517,1967
+UBER,Uber,Industrials,Passenger Ground Transportation,"San Francisco, California",2023-12-18,1543151,2009
+UDR,"UDR, Inc.",Real Estate,Multi-Family Residential REITs,"Highlands Ranch, Colorado",2016-03-07,74208,1972
+UHS,Universal Health Services,Health Care,Health Care Facilities,"King of Prussia, Pennsylvania",2014-09-20,352915,1979
+ULTA,Ulta Beauty,Consumer Discretionary,Other Specialty Retail,"Bolingbrook, Illinois",2016-04-18,1403568,1990
+UNH,UnitedHealth Group,Health Care,Managed Health Care,"Minnetonka, Minnesota",1994-07-01,731766,1977
+UNP,Union Pacific Corporation,Industrials,Rail Transportation,"Omaha, Nebraska",1957-03-04,100885,1862
+UPS,United Parcel Service,Industrials,Air Freight & Logistics,"Sandy Springs, Georgia",2002-07-22,1090727,1907
+URI,United Rentals,Industrials,Trading Companies & Distributors,"Stamford, Connecticut",2014-09-20,1067701,1997
+USB,U.S. Bank,Financials,Diversified Banks,"Minneapolis, Minnesota",1999-11-01,36104,1968
+V,Visa Inc.,Financials,Transaction & Payment Processing Services,"San Francisco, California",2009-12-21,1403161,1958
+VFC,VF Corporation,Consumer Discretionary,"Apparel, Accessories & Luxury Goods","Denver, Colorado",1979-06-30,103379,1899
+VICI,Vici Properties,Real Estate,Hotel & Resort REITs,"New York City, New York",2022-06-08,1705696,2017
+VLO,Valero Energy,Energy,Oil & Gas Refining & Marketing,"San Antonio, Texas",2002-12-20,1035002,1980
+VLTO,Veralto,Industrials,Environmental & Facilities Services,"Waltham, Massachusetts",2023-10-02,1967680,2023
+VMC,Vulcan Materials Company,Materials,Construction Materials,"Birmingham, Alabama",1999-06-30,1396009,1909
+VRSK,Verisk,Industrials,Research & Consulting Services,"Jersey City, New Jersey",2015-10-08,1442145,1971
+VRSN,Verisign,Information Technology,Internet Services & Infrastructure,"Dulles, Virginia",2006-02-01,1014473,1995
+VRTX,Vertex Pharmaceuticals,Health Care,Biotechnology,"Cambridge, Massachusetts",2013-09-23,875320,1989
+VTR,Ventas,Real Estate,Health Care REITs,"Chicago, Illinois",2009-03-04,740260,1998
+VTRS,Viatris,Health Care,Pharmaceuticals,"Pittsburgh, Pennsylvania",2004-04-23,1792044,1961
+VZ,Verizon,Communication Services,Integrated Telecommunication Services,"New York City, New York",1983-11-30,732712,1983 (1877)
+WAB,Wabtec,Industrials,Construction Machinery & Heavy Transportation Equipment,"Pittsburgh, Pennsylvania",2019-02-27,943452,1999 (1869)
+WAT,Waters Corporation,Health Care,Life Sciences Tools & Services,"Milford, Massachusetts",2002-01-02,1000697,1958
+WBA,Walgreens Boots Alliance,Consumer Staples,Drug Retail,"Deerfield, Illinois",1979-12-31,1618921,2014
+WBD,Warner Bros. Discovery,Communication Services,Broadcasting,"New York City, New York",2022-04-11,1437107,2022 (Warner Bros. 1923)
+WDC,Western Digital,Information Technology,"Technology Hardware, Storage & Peripherals","San Jose, California",2009-07-01,106040,1970
+WEC,WEC Energy Group,Utilities,Electric Utilities,"Milwaukee, Wisconsin",2008-10-31,783325,1896
+WELL,Welltower,Real Estate,Health Care REITs,"Toledo, Ohio",2009-01-30,766704,1970
+WFC,Wells Fargo,Financials,Diversified Banks,"San Francisco, California",1976-06-30,72971,1852
+WM,Waste Management,Industrials,Environmental & Facilities Services,"Houston, Texas",1998-08-31,823768,1968
+WMB,Williams Companies,Energy,Oil & Gas Storage & Transportation,"Tulsa, Oklahoma",1975-03-31,107263,1908
+WMT,Walmart,Consumer Staples,Consumer Staples Merchandise Retail,"Bentonville, Arkansas",1982-08-31,104169,1962
+WRB,Berkley,Financials,Property & Casualty Insurance,"Greenwich, Connecticut",2019-12-05,11544,1967
+WRK,WestRock,Materials,Paper & Plastic Packaging Products & Materials,"Atlanta, Georgia",2015-06-25,1732845,2015
+WST,West Pharmaceutical Services,Health Care,Health Care Supplies,"Exton, Pennsylvania",2020-05-22,105770,1923
+WTW,Willis Towers Watson,Financials,Insurance Brokers,"London, United Kingdom",2016-01-05,1140536,2016
+WY,Weyerhaeuser,Real Estate,Timber REITs,"Seattle, Washington",1979-10-01,106535,1900
+WYNN,Wynn Resorts,Consumer Discretionary,Casinos & Gaming,"Paradise, Nevada",2008-11-14,1174922,2002
+XEL,Xcel Energy,Utilities,Multi-Utilities,"Minneapolis, Minnesota",1957-03-04,72903,1909
+XOM,ExxonMobil,Energy,Integrated Oil & Gas,"Irving, Texas",1957-03-04,34088,1999
+XRAY,Dentsply Sirona,Health Care,Health Care Supplies,"Charlotte, North Carolina",2008-11-14,818479,2016 (1969)
+XYL,Xylem Inc.,Industrials,Industrial Machinery & Supplies & Components,"White Plains, New York",2011-11-01,1524472,2011
+YUM,Yum! Brands,Consumer Discretionary,Restaurants,"Louisville, Kentucky",1997-10-06,1041061,1997
+ZBH,Zimmer Biomet,Health Care,Health Care Equipment,"Warsaw, Indiana",2001-08-07,1136869,1927
+ZBRA,Zebra Technologies,Information Technology,Electronic Equipment & Instruments,"Lincolnshire, Illinois",2019-12-23,877212,1969
+ZTS,Zoetis,Health Care,Pharmaceuticals,"Parsippany, New Jersey",2013-06-21,1555280,1952

preprocess.py

@@ -0,0 +1,544 @@
+import re
+import sys
+import os
+import numpy as np
+from collections import defaultdict
+import pandas as pd
+import time
+
+# 如果使用 spaCy 进行 NLP 处理
+import spacy
+
+# 如果使用某种情感分析工具，比如 Hugging Face 的模型
+from transformers import pipeline
+
+# 还需要导入 pickle 模块（如果你在代码的其他部分使用了它来处理序列化/反序列化）
+import pickle
+from gensim.models import KeyedVectors
+import akshare as ak
+
+from gensim.models import Word2Vec
+from transformers import pipeline, AutoTokenizer, AutoModelForSequenceClassification
+
+
+
+
+
+sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+from us_stock import *
+
+
+
+
+# 强制使用 GPU
+#spacy.require_gpu()
+
+# 加载模型
+nlp = spacy.load("en_core_web_md")
+
+# 检查是否使用 GPU
+print("Is NPL GPU used Preprocessing.py:", spacy.prefer_gpu())
+
+
+# 使用合适的模型和tokenizer
+model_name = "ProsusAI/finbert"  # 选择合适的预训练模型
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+sa_model = AutoModelForSequenceClassification.from_pretrained(model_name)
+
+# 初始化情感分析器
+sentiment_analyzer = pipeline('sentiment-analysis', model=sa_model, tokenizer=tokenizer)
+
+
+
+
+index_us_stock_index_INX = ak.index_us_stock_sina(symbol=".INX")
+index_us_stock_index_DJI = ak.index_us_stock_sina(symbol=".DJI")
+index_us_stock_index_IXIC = ak.index_us_stock_sina(symbol=".IXIC")
+index_us_stock_index_NDX = ak.index_us_stock_sina(symbol=".NDX")
+
+
+class LazyWord2Vec:
+    def __init__(self, model_path):
+        self.model_path = model_path
+        self._model = None
+
+    @property
+    def model(self):
+        if self._model is None:
+            print("Loading Word2Vec model...")
+            self._model = KeyedVectors.load(self.model_path, mmap='r')
+        return self._model
+    
+    @property
+    def vector_size(self):
+        self.load_model()
+        return self.model.vector_size  # 现在你可以正确访问 vector_size 属性
+
+
+    def __getitem__(self, key):
+        return self.model[key]
+
+    def __contains__(self, key):
+        return key in self.model
+    
+# 加载预训练的 Google News Word2Vec 模型
+# 定义路径列表
+search_paths = ["/BuckLake/Model/", 
+                "/Users/parker/Development/Server/BuckLake/Model/",
+                "/Users/liuyue/Work/BuckLake/Model/"]
+
+# 获取当前文件所在目录的路径
+current_directory = os.getcwd()
+print(f"Current directory: {current_directory}")
+current_directory = os.path.dirname(os.path.abspath(__file__))
+
+# 添加相对于当前项目的路径
+# search_paths.insert(0, os.path.join(current_directory, 'model'))
+search_paths.insert(1, os.path.join(current_directory, '..', 'Model'))
+
+
+# 定义相对路径
+filename = 'word2vec-google-news-300.model'
+
+# 初始化word2vec_path为None
+word2vec_path = None
+
+# 遍历路径列表
+for path in search_paths:
+    potential_path = os.path.join(path, filename)
+    if os.path.exists(potential_path):
+        word2vec_path = potential_path
+        break
+    else:
+        print(f"{potential_path} not found.")
+
+# 如果找到路径，加载模型
+if word2vec_path:
+    print(f"Loading Word2Vec model from {word2vec_path}...")
+    word2vec_model = LazyWord2Vec(word2vec_path)
+else:
+    raise FileNotFoundError(f"{filename} not found in any of the search paths: {search_paths}")
+
+
+
+def pos_tagging(text):
+    try:
+        doc = nlp(text)
+        tokens, pos_tags, tags = [], [], []
+        for token in doc:
+            if token.is_punct or token.is_stop:
+                continue
+            tokens.append(token.text)
+            pos_tags.append(token.pos_)
+            tags.append(token.tag_)
+    except Exception as e:
+        print(f"Error in pos_tagging for text: {text[:50]}... Error: {str(e)}")
+        return "", "", ""
+
+    return tokens, pos_tags, tags
+
+
+# 命名实体识别函数
+def named_entity_recognition(text):
+    try:
+        doc = nlp(text)
+        entities = [(ent.text, ent.label_) for ent in doc.ents]
+    except Exception as e:
+        print(f"Error in named_entity_recognition for text: {text[:50]}... Error: {str(e)}")
+        entities = []
+
+    return entities or [("", "")]
+
+
+
+# 处理命名实体识别结果
+def process_entities(entities):
+    entity_counts = defaultdict(int)
+    try:
+        for entity in entities:
+            etype = entity[1]  # 取出实体类型
+            entity_counts[etype] += 1  # 直接对实体类型进行计数
+        
+        # 将字典转化为有序的数组
+        entity_types = sorted(entity_counts.keys())
+        counts = np.array([entity_counts[etype] for etype in entity_types])
+    except Exception as e:
+        print(f"Error in process_entities: {str(e)}")
+        counts = np.zeros(len(entities))
+        entity_types = []
+
+    return counts, entity_types
+
+
+
+# 处理词性标注结果
+def process_pos_tags(pos_tags):
+    pos_counts = defaultdict(int)
+    try:
+        for pos in pos_tags:
+            pos_counts[pos[1]] += 1  # 使用POS标签（如NN, VB等）
+        
+        # 将字典转化为有序的数组
+        pos_types = sorted(pos_counts.keys())
+        counts = np.array([pos_counts[pos] for pos in pos_types])
+    except Exception as e:
+        print(f"Error in process_pos_tags: {str(e)}")
+        counts = np.zeros(len(pos_tags))
+        pos_types = []
+
+    return counts, pos_types
+
+
+
+
+# 函数：获取文档向量
+def get_document_vector(words, model = word2vec_model):
+    try:
+        # 获取每个词的词向量，如果词不在模型中则跳过
+        word_vectors = [model[word] for word in words if word in model]
+        # 对词向量进行平均，得到文档向量；如果没有词在模型中则返回零向量
+        document_vector = np.mean(word_vectors, axis=0) if word_vectors else np.zeros(model.vector_size)
+    except Exception as e:
+        print(f"Error in get_document_vector for words: {words[:5]}... Error: {str(e)}")
+        document_vector = np.zeros(model.vector_size)
+    
+    return document_vector
+
+
+
+# 函数：获取情感得分
+def get_sentiment_score(text):
+    try:
+        # 直接将原始文本传递给 sentiment_analyzer，它会自动处理 tokenization
+        result = sentiment_analyzer(text, truncation=True, max_length=512)[0]
+        score = result['score'] if result['label'] == 'positive' else -result['score']
+    except Exception as e:
+        print(f"Error in get_sentiment_score for text: {text[:50]}... Error: {str(e)}")
+        score = 0.0
+
+    return score
+
+
+
+def get_stock_info(stock_codes, news_date):
+    # 获取股票代码和新闻日期
+    stock_codes = stock_codes.split(',')
+
+    news_date = news_date.strftime('%Y%m%d')
+    print(f"Getting stock info for {stock_codes} on {news_date}")
+
+    previous_stock_history = []
+    following_stock_history = []
+    previous_stock_index_history = []
+    following_stock_index_history = []
+
+    def process_history(stock_history, target_date):
+        # 如果数据为空，创建一个空的 DataFrame 并填充为 0
+        if stock_history.empty:
+            empty_data = pd.DataFrame({
+                '开盘': [0] * 4,
+                '收盘': [0] * 4,
+                '最高': [0] * 4,
+                '最低': [0] * 4,
+                '成交量': [0] * 4,
+                '成交额': [0] * 4
+            })
+            return empty_data, empty_data
+
+        # 确保 'date' 列存在
+        if 'date' not in stock_history.columns:
+            print(f"'date' column not found in stock history. Returning empty data.")
+            return pd.DataFrame([[0] * 6] * 4), pd.DataFrame([[0] * 6] * 4)
+
+        # 将日期转换为 datetime 格式，便于比较
+        stock_history['date'] = pd.to_datetime(stock_history['date'])
+        target_date = pd.to_datetime(target_date)
+
+        # 找到目标日期的索引
+        target_row = stock_history[stock_history['date'] == target_date]
+        
+        if target_row.empty:
+            # 如果目标日期找不到，找到离目标日期最近的日期
+            closest_date_index = (stock_history['date'] - target_date).abs().idxmin()
+            target_date = stock_history.loc[closest_date_index, 'date']
+            target_row = stock_history[stock_history['date'] == target_date]
+
+        # 确保找到的目标日期有数据
+        if target_row.empty:
+            return pd.DataFrame([[0] * 6] * 4), pd.DataFrame([[0] * 6] * 4)
+
+        target_index = target_row.index[0]
+        target_pos = stock_history.index.get_loc(target_index)
+
+        # 取出目标日期及其前3条记录
+        previous_rows = stock_history.iloc[max(0, target_pos - 3):target_pos + 1]
+
+        # 取出目标日期及其后4条记录
+        following_rows = stock_history.iloc[target_pos:target_pos + 4]
+
+        # 删除日期列
+        previous_rows = previous_rows.drop(columns=['date'])
+        following_rows = following_rows.drop(columns=['date'])
+
+        # 如果 previous_rows 或 following_rows 的行数不足 4，则填充至 4 行
+        if len(previous_rows) < 4:
+            previous_rows = previous_rows.reindex(range(4), fill_value=0)
+
+        if len(following_rows) < 4:
+            following_rows = following_rows.reindex(range(4), fill_value=0)
+
+        # 只返回前4行，并只返回前6列（开盘、收盘、最高、最低、成交量、成交额）
+        previous_rows = previous_rows.iloc[:4, :6]
+        following_rows = following_rows.iloc[:4, :6]
+
+        return previous_rows, following_rows
+
+    if not stock_codes or stock_codes == ['']:
+        # 如果 stock_codes 为空，直接获取并返回大盘数据
+        stock_index_history = get_stock_index_history("", news_date)
+        previous_rows, following_rows = process_history(stock_index_history, news_date)
+        previous_stock_index_history.append(previous_rows.values.tolist())
+        following_stock_index_history.append(following_rows.values.tolist())
+
+        # 个股补零逻辑
+        previous_stock_history.append([[0] * len(previous_rows.columns)] * len(previous_rows))
+        following_stock_history.append([[0] * len(following_rows.columns)] * len(following_rows))
+
+
+
+    else:
+        for stock_code in stock_codes:
+            stock_code = stock_code.strip()
+            stock_history = get_stock_history(stock_code, news_date)
+            stock_index_history = get_stock_index_history(stock_code, news_date)
+            
+            # 处理个股数据
+            previous_rows, following_rows = process_history(stock_history, news_date)
+            previous_stock_history.append(previous_rows.values.tolist())
+            following_stock_history.append(following_rows.values.tolist())
+
+            # 处理大盘数据
+            previous_rows, following_rows = process_history(stock_index_history, news_date)
+            previous_stock_index_history.append(previous_rows.values.tolist())
+            following_stock_index_history.append(following_rows.values.tolist())
+        
+    return previous_stock_history, following_stock_history, previous_stock_index_history, following_stock_index_history
+
+
+
+def lemmatized_entry(entry):
+    entry_start_time = time.time()
+    # Step 1 - 条目聚合
+    lemmatized_text = preprocessing_entry(entry)
+    
+        
+    return lemmatized_text
+
+
+
+
+
+
+# 1. 数据清理
+# 1.1 合并数据
+# 1.2 去除噪声
+# 1.3 大小写转换
+# 1.4 去除停用词
+# 1.5 词汇矫正与拼写检查
+# 1.6 词干提取与词形还原
+
+
+
+# 强制使用 GPU
+# spacy.require_gpu()
+
+# 加载模型
+nlp = spacy.load("en_core_web_md")
+
+# 检查是否使用 GPU
+print("Is NPL GPU used Lemmatized:", spacy.prefer_gpu())
+
+
+
+
+def preprocessing_entry(news_entry):
+    """数据清理启动函数
+
+    Args:
+        text (str): preprocessing后的文本
+
+    Returns:
+        [str]]: 词干提取后的String列表
+    """
+
+    # 1.1 合并数据
+    text = merge_text(news_entry)
+
+    # 1.2 去除噪声
+    text = disposal_noise(text)
+
+    # 1.3 大小写转换
+    text = text.lower()
+
+    # 1.4 去除停用词
+    text = remove_stopwords(text)
+
+    # 1.5 拼写检查
+    #text = correct_spelling(text)
+    #print(f"1.5 拼写检查后的文本：{text}")
+
+    # 1.6 词干提取与词形还原
+    lemmatized_text_list = lemmatize_text(text)
+    #print(f"1.6 词干提取与词形还原后的文本：{lemmatized_text_list}")
+
+    return lemmatized_text_list
+
+
+
+# 1.1 合并数据
+def merge_text(news_entry):
+    return news_entry
+
+
+# 1.2 去除噪声
+def disposal_noise(text):
+     # 移除HTML标签
+    text = re.sub(r'<.*?>', '', text)
+    # 移除URLs
+    text = re.sub(r'http\S+|www\S+|https\S+', '', text, flags=re.MULTILINE)
+    # 移除方括号内的内容
+    # text = re.sub(r'\[.*?\]', '', text)
+    # 移除标点符号
+    # text = re.sub(r'[^\w\s]', '', text)
+    # 移除多余的空格
+    text = re.sub(r'\s+', ' ', text).strip()
+    # 或者选择性地过滤，例如移除表情符号
+    # text = re.sub(r'[^\w\s.,!?]', '', text)
+    # 移除换行符和制表符
+    text = re.sub(r'[\n\t\r]', ' ', text)
+
+
+    return text
+
+# 1.4 去除停用词
+
+
+def remove_stopwords(text):
+    # 使用 spaCy 处理文本
+    doc = nlp(text)
+    # 去除停用词，并且仅保留标识为“词”（Token.is_alpha）类型的标记
+    filtered_sentence = [token.text for token in doc if not token.is_stop and (token.is_alpha or token.like_num)]
+    return ' '.join(filtered_sentence)
+
+
+
+
+
+# 1.5 拼写检查
+# 该函数用于检查输入文本的拼写错误，并修正
+# def correct_spelling(text):
+#     corrected_text = []
+#     doc = nlp(text)
+#     for token in doc:
+#         if token.is_alpha:  # 仅检查字母构成的单词
+#             corrected_word = spell.correction(token.text)
+#             if corrected_word is None:
+#                 # 如果拼写检查没有建议，保留原始单词
+#                 corrected_word = token.text
+#             corrected_text.append(corrected_word)
+#         else:
+#             corrected_text.append(token.text)
+#     return " ".join(corrected_text)
+
+
+# 1.6 词干提取与词形还原
+# 该函数用于对输入文本进行词形还原，返回一个包含词形还原后单词
+def lemmatize_text(text):
+    # 提取词干化后的词
+    lemmatized_words = []
+    doc = nlp(text)  # 需要在这里处理输入文本
+    for token in doc:
+        # 忽略标点符号和空格
+        if not token.is_punct and not token.is_space and (token.is_alpha or token.like_num):
+            lemmatized_words.append(token.lemma_)
+    return lemmatized_words
+
+
+
+
+
+
+# 2. 数据增强和特征提取
+# 2.1 词性标注（Part-of-Speech Tagging）
+# 为每个词标注其词性（如名词、动词、形容词等），这有助于后续的句法分析和信息提取。
+# 工具：spaCy 或 NLTK
+# 2.2 命名实体识别（NER）
+# 识别文本中的命名实体，如人名、地名、组织机构等，提取出这些实体信息。
+# 工具：spaCy 或 Stanford NER
+# 2.3 句法分析与依存分析
+# 分析句子结构，理解单词之间的关系（如主谓宾结构）。
+# 工具：spaCy 或 NLTK
+
+
+
+# 2 特征提取
+
+
+# 强制使用 GPU
+#spacy.require_gpu()
+
+# 加载模型
+nlp = spacy.load("en_core_web_md")
+
+# 检查是否使用 GPU
+print("Is NPL GPU used Enchance_text.py:", spacy.prefer_gpu())
+
+
+
+# 2.3 句法分析与依存分析
+def dependency_parsing(text):
+    doc = nlp(text)
+    dependencies = []
+
+    for token in doc:
+        # 过滤标点符号和停用词，或其他不需要的词性
+        if token.is_punct or token.is_stop:
+            continue
+        
+        # 可以进一步根据特定的依存关系类型过滤结果
+        # 常见的依存关系类型: 'nsubj' (名词主语), 'dobj' (直接宾语), 等等
+        # if token.dep_ not in {'nsubj', 'dobj', ...}:
+        #     continue
+        
+        dependencies.append((token.text, token.dep_, token.head.text))
+    
+    return dependencies
+
+
+
+def processing_entry(entry):
+    # print(f"processing_entry: {entry}")
+
+
+    lemmatized_entry = preprocessing_entry(entry)
+    # print(f"lemmatized_entry: {lemmatized_entry}")
+
+    cleaned_text = disposal_noise(entry)
+    # print(f"disposal_noise: {cleaned_text}")
+
+    pos_tag = pos_tagging(cleaned_text)
+    # print(f"pos_tagging: {db_pos_tag}")
+
+    ner = named_entity_recognition(cleaned_text)
+    # print(f"named_entity_recognition: {db_ner}")
+
+    dependency_parsed = dependency_parsing(cleaned_text)
+    # print(f"dependency_parsing: {db_dependency_parsing}")
+
+    sentiment_score = get_sentiment_score(cleaned_text)
+    # print(f"sentiment_score: {sentiment_score}")
+
+
+
+
+    return (lemmatized_entry, pos_tag, ner, dependency_parsed, sentiment_score)

requirements.txt

@@ -1,3 +1,10 @@
-flask
 streamlit
-transformers
+transformers
+akshare
+blis==0.7.11
+spacy==3.7.5
+gensim
+numpy
+fastapi
+uvicorn
+gensim

us_stock.py

@@ -0,0 +1,361 @@
+import logging
+import re
+import akshare as ak
+import pandas as pd
+from datetime import datetime, timedelta
+import time  # 导入标准库的 time 模块
+
+import os
+
+import requests
+import threading
+import asyncio
+
+
+logging.basicConfig(level=logging.INFO)
+
+
+# 获取当前文件的目录
+base_dir = os.path.dirname(os.path.abspath(__file__))
+
+# 构建CSV文件的绝对路径
+nasdaq_100_path = os.path.join(base_dir, '../model/nasdaq100.csv')
+dow_jones_path = os.path.join(base_dir, '../model/dji.csv')
+sp500_path = os.path.join(base_dir, '../model/sp500.csv')
+nasdaq_composite_path = os.path.join(base_dir, '../model/nasdaq_all.csv')
+# 从CSV文件加载成分股数据
+nasdaq_100_stocks = pd.read_csv(nasdaq_100_path)
+dow_jones_stocks = pd.read_csv(dow_jones_path)
+sp500_stocks = pd.read_csv(sp500_path)
+nasdaq_composite_stocks = pd.read_csv(nasdaq_composite_path)
+
+
+def fetch_stock_us_spot_data_with_retries():
+    # 定义重试间隔时间序列（秒）
+    retry_intervals = [10, 20, 60, 300, 600]
+    retry_index = 0  # 初始重试序号
+
+    while True:
+        try:
+            # 尝试获取API数据
+            symbols = ak.stock_us_spot_em()
+            return symbols  # 成功获取数据后返回
+
+        except Exception as e:
+            print(f"Error fetching data: {e}")
+
+            # 获取当前重试等待时间
+            wait_time = retry_intervals[retry_index]
+            print(f"Retrying in {wait_time} seconds...")
+            time.sleep(wait_time)  # 等待指定的秒数
+
+            # 更新重试索引，但不要超出重试时间列表的范围
+            retry_index = min(retry_index + 1, len(retry_intervals) - 1)
+
+
+
+async def fetch_stock_us_spot_data_with_retries_async():
+    retry_intervals = [10, 20, 60, 300, 600]
+    retry_index = 0
+
+    while True:
+        try:
+            symbols = await asyncio.to_thread(ak.stock_us_spot_em)
+            return symbols
+        except Exception as e:
+            print(f"Error fetching data: {e}")
+            wait_time = retry_intervals[retry_index]
+            print(f"Retrying in {wait_time} seconds...")
+            await asyncio.sleep(wait_time)
+            retry_index = min(retry_index + 1, len(retry_intervals) - 1)
+
+symbols = asyncio.run(fetch_stock_us_spot_data_with_retries_async())
+
+
+# 全局变量
+index_us_stock_index_INX = None
+index_us_stock_index_DJI = None
+index_us_stock_index_IXIC = None
+index_us_stock_index_NDX = None
+
+def update_stock_indices():
+    global index_us_stock_index_INX, index_us_stock_index_DJI, index_us_stock_index_IXIC, index_us_stock_index_NDX
+    try:
+        index_us_stock_index_INX = ak.index_us_stock_sina(symbol=".INX")
+        index_us_stock_index_DJI = ak.index_us_stock_sina(symbol=".DJI")
+        index_us_stock_index_IXIC = ak.index_us_stock_sina(symbol=".IXIC")
+        index_us_stock_index_NDX = ak.index_us_stock_sina(symbol=".NDX")
+        print("Stock indices updated")
+    except Exception as e:
+        print(f"Error updating stock indices: {e}")
+
+    # 设置定时器，每隔12小时更新一次
+    threading.Timer(12 * 60 * 60, update_stock_indices).start()
+
+# 程序开始时立即更新一次
+update_stock_indices()
+
+
+# 创建列名转换的字典
+column_mapping = {
+    '日期': 'date',
+    '开盘': 'open',
+    '收盘': 'close',
+    '最高': 'high',
+    '最低': 'low',
+    '成交量': 'volume',
+    '成交额': 'amount',
+    '振幅': 'amplitude',
+    '涨跌幅': 'price_change_percentage',
+    '涨跌额': 'price_change_amount',
+    '换手率': 'turnover_rate'
+}
+
+# 定义一个标准的列顺序
+standard_columns = ['date', 'open', 'close', 'high', 'low', 'volume', 'amount']
+
+
+# 定义查找函数
+def find_stock_entry(stock_code):
+    # 使用 str.endswith 来匹配股票代码
+    matching_row = symbols[symbols['代码'].str.endswith(stock_code)]
+    # print(symbols)
+    if not matching_row.empty:
+        # print(f"股票代码 {stock_code} 找到, 代码为 {matching_row['代码'].values[0]}")
+        return matching_row['代码'].values[0]
+    else:
+        return ""
+    
+    '''
+    # 示例调用
+    # 测试函数
+    result = find_stock_entry('AAPL')
+
+    if isinstance(result, pd.DataFrame) and not result.empty:
+        # 如果找到的结果不为空，获取代码列的值
+        code_value = result['代码'].values[0]
+        print(code_value)
+    else:
+        print(result)
+    '''
+
+
+def reduce_columns(df, columns_to_keep):
+    return df[columns_to_keep]
+    
+
+# 返回个股历史数据
+def get_stock_history(symbol, news_date, retries=10):
+    # 定义重试间隔时间序列（秒）
+    retry_intervals = [10, 20, 60, 300, 600]
+    retry_count = 0
+
+    # 如果传入的symbol不包含数字前缀，则通过 find_stock_entry 获取完整的symbol
+    if not any(char.isdigit() for char in symbol):
+        full_symbol = find_stock_entry(symbol)
+        if len(symbol) != 0 and full_symbol:
+            symbol = full_symbol
+        else:
+            symbol = ""
+
+
+    # 将news_date转换为datetime对象
+    news_date_dt = datetime.strptime(news_date, "%Y%m%d")
+    
+    # 计算start_date和end_date
+    start_date = (news_date_dt - timedelta(weeks=2)).strftime("%Y%m%d")
+    end_date = (news_date_dt + timedelta(weeks=2)).strftime("%Y%m%d")
+    
+    stock_hist_df = None
+    retry_index = 0  # 初始化重试索引
+
+    while retry_count <= retries and len(symbol) != 0:  # 无限循环重试
+        try:
+            # 尝试获取API数据
+            stock_hist_df = ak.stock_us_hist(symbol=symbol, period="daily", start_date=start_date, end_date=end_date, adjust="")
+
+            if stock_hist_df.empty:  # 检查是否为空数据
+                # print(f"No data for {symbol} on {news_date}.")
+                stock_hist_df = None  # 将 DataFrame 设置为 None
+            break
+
+
+        except (requests.exceptions.Timeout, ConnectionError)  as e:
+            print(f"Request timed out: {e}. Retrying...")
+            retry_count += 1  # 增加重试次数
+            continue
+
+
+        except (TypeError, ValueError, BaseException) as e:
+            print(f"Error {e} scraping data for {symbol} on {news_date}. Break...")
+            # 可能是没数据，直接Break
+            break
+
+        # 如果发生异常，等待一段时间再重试
+        wait_time = retry_intervals[retry_index]
+        print(f"Waiting for {wait_time} seconds before retrying...")
+        time.sleep(wait_time)
+        retry_index = (retry_index + 1) if retry_index < len(retry_intervals) - 1 else retry_index  # 更新重试索引，不超过列表长度
+
+    # 如果获取失败或数据为空，返回填充为0的 DataFrame
+    if stock_hist_df is None or stock_hist_df.empty:
+        # 构建一个空的 DataFrame，包含指定日期范围的空数据
+        date_range = pd.date_range(start=start_date, end=end_date)
+        stock_hist_df = pd.DataFrame({
+            'date': date_range,
+            '开盘': 0,
+            '收盘': 0,
+            '最高': 0,
+            '最低': 0,
+            '成交量': 0,
+            '成交额': 0,
+            '振幅': 0,
+            '涨跌幅': 0,
+            '涨跌额': 0,
+            '换手率': 0
+        })
+
+        # 使用rename方法转换列名
+        stock_hist_df = stock_hist_df.rename(columns=column_mapping)
+        stock_hist_df = stock_hist_df.reindex(columns=standard_columns)
+        # 处理个股数据，保留所需列
+        stock_hist_df = reduce_columns(stock_hist_df, standard_columns)
+        return stock_hist_df
+    
+    # 统一列名
+    stock_hist_df = stock_hist_df.rename(columns=column_mapping)
+    stock_hist_df = stock_hist_df.reindex(columns=standard_columns)
+    # 处理个股数据，保留所需列
+    stock_hist_df = reduce_columns(stock_hist_df, standard_columns)
+    return stock_hist_df
+
+
+    '''
+    # 示例调用
+    result = get_stock_history('AAPL', '20240214')
+    print(result)
+    '''
+# result = get_stock_history('ATMU', '20231218')
+# print(result)
+
+
+# 返回个股所属指数历史数据
+def get_stock_index_history(symbol, news_date):
+    # 检查股票所属的指数
+    if symbol in nasdaq_100_stocks['Symbol'].values:
+        index_code = ".NDX"
+        index_data = index_us_stock_index_NDX
+    elif symbol in dow_jones_stocks['Symbol'].values:
+        index_code = ".DJI"
+        index_data = index_us_stock_index_DJI
+    elif symbol in sp500_stocks['Symbol'].values:
+        index_code = ".INX"
+        index_data = index_us_stock_index_INX
+    elif symbol in nasdaq_composite_stocks["Symbol"].values or symbol is None or symbol == "":
+        index_code = ".IXIC"
+        index_data = index_us_stock_index_IXIC
+    else:
+
+        index_code = ".IXIC"
+        index_data = index_us_stock_index_IXIC
+        
+        # print(f"股票代码 {symbol} 不属于纳斯达克100、道琼斯工业、标准普尔500或纳斯达克综合指数。")
+        # 将 news_date 转换为 datetime 对象
+        news_date_dt = datetime.strptime(news_date, "%Y%m%d")
+        
+        # 计算 start_date 和 end_date
+        start_date = (news_date_dt - timedelta(weeks=2)).strftime("%Y-%m-%d")
+        end_date = (news_date_dt + timedelta(weeks=2)).strftime("%Y-%m-%d")
+        
+        # 构建一个空的 DataFrame，包含指定日期范围的空数据
+        date_range = pd.date_range(start=start_date, end=end_date)
+        stock_hist_df = pd.DataFrame({
+            'date': date_range,
+            'open': 0,
+            'high': 0,
+            'low': 0,
+            'close': 0,
+            'volume': 0,
+            'amount': 0
+        })
+        # 统一列名
+        stock_hist_df = stock_hist_df.rename(columns=column_mapping)
+        stock_hist_df = stock_hist_df.reindex(columns=standard_columns)
+        # 处理个股数据，保留所需列
+        stock_hist_df = reduce_columns(stock_hist_df, standard_columns)
+        return stock_hist_df
+
+    # 将 news_date 转换为 datetime 对象
+    news_date_dt = datetime.strptime(news_date, "%Y%m%d")
+
+    # 计算 start_date 和 end_date
+    start_date = (news_date_dt - timedelta(weeks=2)).strftime("%Y-%m-%d")
+    end_date = (news_date_dt + timedelta(weeks=2)).strftime("%Y-%m-%d")
+    
+    # 确保 index_data['date'] 是 datetime 类型
+    index_data['date'] = pd.to_datetime(index_data['date'])
+
+    # 从指数历史数据中提取指定日期范围的数据
+    index_hist_df = index_data[(index_data['date'] >= start_date) & (index_data['date'] <= end_date)]
+    
+    # 统一列名
+    index_hist_df = index_hist_df.rename(columns=column_mapping)
+    index_hist_df = index_hist_df.reindex(columns=standard_columns)
+    # 处理个股数据，保留所需列
+    index_hist_df = reduce_columns(index_hist_df, standard_columns)
+    return index_hist_df
+    '''
+    # 示例调用
+    result = get_stock_index_history('AAPL', '20240214')
+    print(result)
+    '''
+
+
+
+def find_stock_codes_or_names(entities):
+    """
+    从给定的实体列表中检索股票代码或公司名称。
+    
+    :param entities: 命名实体识别结果列表，格式为 [('实体名称', '实体类型'), ...]
+    :return: 相关的股票代码列表
+    """
+    stock_codes = set()
+    
+    # 合并所有股票字典并清理数据，确保都是字符串
+    all_symbols = pd.concat([nasdaq_100_stocks['Symbol'],
+                            dow_jones_stocks['Symbol'],
+                            sp500_stocks['Symbol'],
+                            nasdaq_composite_stocks['Symbol']]).dropna().astype(str).unique().tolist()
+    
+    all_names = pd.concat([nasdaq_100_stocks['Name'],
+                           nasdaq_composite_stocks['Name'],
+                           sp500_stocks['Security'],
+                           dow_jones_stocks['Company']]).dropna().astype(str).unique().tolist()
+    
+    # 创建一个 Name 到 Symbol 的映射
+    name_to_symbol = {}
+    for idx, name in enumerate(all_names):
+        if idx < len(all_symbols):
+            symbol = all_symbols[idx]
+            name_to_symbol[name.lower()] = symbol
+    
+    # 查找实体映射到的股票代码
+    for entity, entity_type in entities:
+        entity_lower = entity.lower()
+        entity_upper = entity.upper()
+
+        # 检查 Symbol 列
+        if entity_upper in all_symbols:
+            stock_codes.add(entity_upper)
+            print(f"Matched symbol: {entity_upper}")
+
+        # 检查 Name 列，确保完整匹配而不是部分匹配
+        for name, symbol in name_to_symbol.items():
+            # 使用正则表达式进行严格匹配
+            pattern = rf'\b{re.escape(entity_lower)}\b'
+            if re.search(pattern, name):
+                stock_codes.add(symbol.upper())
+                print(f"Matched name/company: '{entity_lower}' in '{name}' -> {symbol.upper()}")
+
+    print(f"Stock codes found: {stock_codes}")
+    return list(stock_codes)