├── .gitignore
├── LICENSE
├── PIT to Ticker Delta.ipynb
├── README.md
├── S&P 500 Historical Components & Changes(03-10-2025).csv
├── S&P 500 Historical Components & Changes.csv
├── sp500.csv
├── sp500.ipynb
├── sp500_by_date.ipynb
├── sp500_changes_since_2019.csv
├── sp500_historical.ipynb
└── sp500_ticker_start_end.csv


/.gitignore:
--------------------------------------------------------------------------------
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70 | 


--------------------------------------------------------------------------------
/LICENSE:
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 1 | MIT License
 2 | 
 3 | Copyright (c) 2019-2020 Farrell J. Aultman <fja0568@gmail.com>
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
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 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
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21 | SOFTWARE.
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--------------------------------------------------------------------------------
/PIT to Ticker Delta.ipynb:
--------------------------------------------------------------------------------
  1 | {
  2 |  "cells": [
  3 |   {
  4 |    "cell_type": "code",
  5 |    "execution_count": 2,
  6 |    "id": "f9ee0bdb-b288-478d-9deb-bd157cfaf8f3",
  7 |    "metadata": {},
  8 |    "outputs": [
  9 |     {
 10 |      "data": {
 11 |       "text/html": [
 12 |        "<div>\n",
 13 |        "<style scoped>\n",
 14 |        "    .dataframe tbody tr th:only-of-type {\n",
 15 |        "        vertical-align: middle;\n",
 16 |        "    }\n",
 17 |        "\n",
 18 |        "    .dataframe tbody tr th {\n",
 19 |        "        vertical-align: top;\n",
 20 |        "    }\n",
 21 |        "\n",
 22 |        "    .dataframe thead th {\n",
 23 |        "        text-align: right;\n",
 24 |        "    }\n",
 25 |        "</style>\n",
 26 |        "<table border=\"1\" class=\"dataframe\">\n",
 27 |        "  <thead>\n",
 28 |        "    <tr style=\"text-align: right;\">\n",
 29 |        "      <th></th>\n",
 30 |        "      <th>date</th>\n",
 31 |        "      <th>tickers</th>\n",
 32 |        "    </tr>\n",
 33 |        "  </thead>\n",
 34 |        "  <tbody>\n",
 35 |        "    <tr>\n",
 36 |        "      <th>0</th>\n",
 37 |        "      <td>1996-01-02</td>\n",
 38 |        "      <td>AAL,AAMRQ,AAPL,ABI,ABS,ABT,ABX,ACKH,ACV,ADM,AD...</td>\n",
 39 |        "    </tr>\n",
 40 |        "    <tr>\n",
 41 |        "      <th>1</th>\n",
 42 |        "      <td>1996-01-03</td>\n",
 43 |        "      <td>AAL,AAMRQ,AAPL,ABI,ABS,ABT,ABX,ACKH,ACV,ADM,AD...</td>\n",
 44 |        "    </tr>\n",
 45 |        "    <tr>\n",
 46 |        "      <th>2</th>\n",
 47 |        "      <td>1996-01-04</td>\n",
 48 |        "      <td>AAL,AAMRQ,AAPL,ABI,ABS,ABT,ABX,ACKH,ACV,ADM,AD...</td>\n",
 49 |        "    </tr>\n",
 50 |        "    <tr>\n",
 51 |        "      <th>3</th>\n",
 52 |        "      <td>1996-01-10</td>\n",
 53 |        "      <td>AAL,AAMRQ,AAPL,ABI,ABS,ABT,ABX,ACKH,ACV,ADM,AD...</td>\n",
 54 |        "    </tr>\n",
 55 |        "    <tr>\n",
 56 |        "      <th>4</th>\n",
 57 |        "      <td>1996-01-11</td>\n",
 58 |        "      <td>AAL,AAMRQ,AAPL,ABI,ABS,ABT,ABX,ACKH,ACV,ADM,AD...</td>\n",
 59 |        "    </tr>\n",
 60 |        "  </tbody>\n",
 61 |        "</table>\n",
 62 |        "</div>"
 63 |       ],
 64 |       "text/plain": [
 65 |        "        date                                            tickers\n",
 66 |        "0 1996-01-02  AAL,AAMRQ,AAPL,ABI,ABS,ABT,ABX,ACKH,ACV,ADM,AD...\n",
 67 |        "1 1996-01-03  AAL,AAMRQ,AAPL,ABI,ABS,ABT,ABX,ACKH,ACV,ADM,AD...\n",
 68 |        "2 1996-01-04  AAL,AAMRQ,AAPL,ABI,ABS,ABT,ABX,ACKH,ACV,ADM,AD...\n",
 69 |        "3 1996-01-10  AAL,AAMRQ,AAPL,ABI,ABS,ABT,ABX,ACKH,ACV,ADM,AD...\n",
 70 |        "4 1996-01-11  AAL,AAMRQ,AAPL,ABI,ABS,ABT,ABX,ACKH,ACV,ADM,AD..."
 71 |       ]
 72 |      },
 73 |      "execution_count": 2,
 74 |      "metadata": {},
 75 |      "output_type": "execute_result"
 76 |     }
 77 |    ],
 78 |    "source": [
 79 |     "import pandas as pd\n",
 80 |     "from tqdm import tqdm\n",
 81 |     "import json\n",
 82 |     "\n",
 83 |     "df = pd.read_csv(\"S&P 500 Historical Components & Changes(03-10-2025).csv\")\n",
 84 |     "df['date'] = pd.to_datetime(df['date'])\n",
 85 |     "df.head()"
 86 |    ]
 87 |   },
 88 |   {
 89 |    "cell_type": "code",
 90 |    "execution_count": 3,
 91 |    "id": "b1423720-3384-4d61-ae24-bca401d157d6",
 92 |    "metadata": {},
 93 |    "outputs": [],
 94 |    "source": [
 95 |     "# Get Unique Tickers\n",
 96 |     "unique_tickers = set()\n",
 97 |     "transformed_data = []\n",
 98 |     "for i, row in df.iterrows():\n",
 99 |     "    tickers = row['tickers'].split(',')\n",
100 |     "    unique_tickers = unique_tickers.union(set(tickers))"
101 |    ]
102 |   },
103 |   {
104 |    "cell_type": "code",
105 |    "execution_count": 4,
106 |    "id": "e6f3434e-7c64-48e8-8169-c6950f9dacaf",
107 |    "metadata": {},
108 |    "outputs": [
109 |     {
110 |      "name": "stderr",
111 |      "output_type": "stream",
112 |      "text": [
113 |       "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1175/1175 [08:05<00:00,  2.42it/s]\n"
114 |      ]
115 |     }
116 |    ],
117 |    "source": [
118 |     "# Convert Point in Time to Ticker Start/End Records\n",
119 |     "ticker_start_end_records = []\n",
120 |     "for ticker in tqdm(unique_tickers):\n",
121 |     "    ticker_record = None\n",
122 |     "    for i, row in df.iterrows():\n",
123 |     "        period_tickers = set(row['tickers'].split(','))\n",
124 |     "        if ticker in period_tickers:\n",
125 |     "            if ticker_record is None:\n",
126 |     "                ticker_record = {\"ticker\": ticker, \"start_date\": row[\"date\"]}\n",
127 |     "                continue\n",
128 |     "        elif ticker_record is not None:\n",
129 |     "            ticker_record.update({\"end_date\": row[\"date\"]})\n",
130 |     "            ticker_start_end_records.append(ticker_record)\n",
131 |     "            ticker_record = None\n",
132 |     "\n",
133 |     "    if ticker_record is not None:\n",
134 |     "        ticker_start_end_records.append(ticker_record)"
135 |    ]
136 |   },
137 |   {
138 |    "cell_type": "code",
139 |    "execution_count": 5,
140 |    "id": "27c4ed4d-f8a1-4b05-a785-bf1e4090317e",
141 |    "metadata": {},
142 |    "outputs": [
143 |     {
144 |      "data": {
145 |       "text/html": [
146 |        "<div>\n",
147 |        "<style scoped>\n",
148 |        "    .dataframe tbody tr th:only-of-type {\n",
149 |        "        vertical-align: middle;\n",
150 |        "    }\n",
151 |        "\n",
152 |        "    .dataframe tbody tr th {\n",
153 |        "        vertical-align: top;\n",
154 |        "    }\n",
155 |        "\n",
156 |        "    .dataframe thead th {\n",
157 |        "        text-align: right;\n",
158 |        "    }\n",
159 |        "</style>\n",
160 |        "<table border=\"1\" class=\"dataframe\">\n",
161 |        "  <thead>\n",
162 |        "    <tr style=\"text-align: right;\">\n",
163 |        "      <th></th>\n",
164 |        "      <th>ticker</th>\n",
165 |        "      <th>start_date</th>\n",
166 |        "      <th>end_date</th>\n",
167 |        "    </tr>\n",
168 |        "  </thead>\n",
169 |        "  <tbody>\n",
170 |        "    <tr>\n",
171 |        "      <th>0</th>\n",
172 |        "      <td>TMO</td>\n",
173 |        "      <td>1997-01-02</td>\n",
174 |        "      <td>NaT</td>\n",
175 |        "    </tr>\n",
176 |        "    <tr>\n",
177 |        "      <th>1</th>\n",
178 |        "      <td>RX</td>\n",
179 |        "      <td>1996-11-04</td>\n",
180 |        "      <td>2010-02-26</td>\n",
181 |        "    </tr>\n",
182 |        "    <tr>\n",
183 |        "      <th>2</th>\n",
184 |        "      <td>BBBY</td>\n",
185 |        "      <td>1999-10-01</td>\n",
186 |        "      <td>2017-07-26</td>\n",
187 |        "    </tr>\n",
188 |        "    <tr>\n",
189 |        "      <th>3</th>\n",
190 |        "      <td>ZBRA</td>\n",
191 |        "      <td>2019-12-23</td>\n",
192 |        "      <td>NaT</td>\n",
193 |        "    </tr>\n",
194 |        "    <tr>\n",
195 |        "      <th>4</th>\n",
196 |        "      <td>CTL</td>\n",
197 |        "      <td>1999-03-25</td>\n",
198 |        "      <td>2020-09-18</td>\n",
199 |        "    </tr>\n",
200 |        "  </tbody>\n",
201 |        "</table>\n",
202 |        "</div>"
203 |       ],
204 |       "text/plain": [
205 |        "  ticker start_date   end_date\n",
206 |        "0    TMO 1997-01-02        NaT\n",
207 |        "1     RX 1996-11-04 2010-02-26\n",
208 |        "2   BBBY 1999-10-01 2017-07-26\n",
209 |        "3   ZBRA 2019-12-23        NaT\n",
210 |        "4    CTL 1999-03-25 2020-09-18"
211 |       ]
212 |      },
213 |      "execution_count": 5,
214 |      "metadata": {},
215 |      "output_type": "execute_result"
216 |     }
217 |    ],
218 |    "source": [
219 |     "# Convert back to dataframe\n",
220 |     "ticker_record_df = pd.DataFrame(ticker_start_end_records)\n",
221 |     "ticker_record_df.head()"
222 |    ]
223 |   },
224 |   {
225 |    "cell_type": "code",
226 |    "execution_count": 6,
227 |    "id": "f4aed634-93c0-4c36-8907-3cdcd53af73c",
228 |    "metadata": {},
229 |    "outputs": [
230 |     {
231 |      "data": {
232 |       "text/plain": [
233 |        "ticker\n",
234 |        "COV     3\n",
235 |        "KMI     2\n",
236 |        "TT      2\n",
237 |        "TEL     2\n",
238 |        "TER     2\n",
239 |        "BR      2\n",
240 |        "NE      2\n",
241 |        "GAS     2\n",
242 |        "TMUS    2\n",
243 |        "GGP     2\n",
244 |        "MXIM    2\n",
245 |        "H       2\n",
246 |        "FMC     2\n",
247 |        "HCA     2\n",
248 |        "MIR     2\n",
249 |        "Name: start_date, dtype: int64"
250 |       ]
251 |      },
252 |      "execution_count": 6,
253 |      "metadata": {},
254 |      "output_type": "execute_result"
255 |     }
256 |    ],
257 |    "source": [
258 |     "# Look at top tickers entering and leaving S&P 500\n",
259 |     "(\n",
260 |     "    ticker_record_df.groupby(\"ticker\")[\"start_date\"]\n",
261 |     "    .count().sort_values(ascending=False)\n",
262 |     "    .head(15)\n",
263 |     ")"
264 |    ]
265 |   },
266 |   {
267 |    "cell_type": "code",
268 |    "execution_count": 7,
269 |    "id": "30739501-b01d-4840-a03d-975ab2791d31",
270 |    "metadata": {},
271 |    "outputs": [],
272 |    "source": [
273 |     "# Record to CSV\n",
274 |     "(\n",
275 |     "    ticker_record_df.sort_values([\"ticker\", \"start_date\"])\n",
276 |     "    .to_csv(\"sp500_ticker_start_end.csv\", index=False)\n",
277 |     ")"
278 |    ]
279 |   },
280 |   {
281 |    "cell_type": "code",
282 |    "execution_count": 8,
283 |    "id": "31288233-b806-4c0d-9105-0ff87da3c772",
284 |    "metadata": {},
285 |    "outputs": [
286 |     {
287 |      "data": {
288 |       "text/plain": [
289 |        "1175"
290 |       ]
291 |      },
292 |      "execution_count": 8,
293 |      "metadata": {},
294 |      "output_type": "execute_result"
295 |     }
296 |    ],
297 |    "source": [
298 |     "ticker_record_df.ticker.nunique()"
299 |    ]
300 |   },
301 |   {
302 |    "cell_type": "code",
303 |    "execution_count": 9,
304 |    "id": "d1127e76-cc08-4146-98ad-e045ec431399",
305 |    "metadata": {},
306 |    "outputs": [
307 |     {
308 |      "data": {
309 |       "text/plain": [
310 |        "1224"
311 |       ]
312 |      },
313 |      "execution_count": 9,
314 |      "metadata": {},
315 |      "output_type": "execute_result"
316 |     }
317 |    ],
318 |    "source": [
319 |     "len(ticker_record_df)"
320 |    ]
321 |   },
322 |   {
323 |    "cell_type": "code",
324 |    "execution_count": 10,
325 |    "id": "1b90c49b-0cb0-4772-89d3-1a3cbf7ef3a8",
326 |    "metadata": {},
327 |    "outputs": [],
328 |    "source": [
329 |     "# Record list of tickers to JSON (Optional)\n",
330 |     "# with open(\"sp_500_full.json\", \"w\") as f:\n",
331 |     "#     json.dump(ticker_record_df.ticker.str.replace(\".\", \" \").to_list(), f)"
332 |    ]
333 |   }
334 |  ],
335 |  "metadata": {
336 |   "kernelspec": {
337 |    "display_name": "Python 3 (ipykernel)",
338 |    "language": "python",
339 |    "name": "python3"
340 |   },
341 |   "language_info": {
342 |    "codemirror_mode": {
343 |     "name": "ipython",
344 |     "version": 3
345 |    },
346 |    "file_extension": ".py",
347 |    "mimetype": "text/x-python",
348 |    "name": "python",
349 |    "nbconvert_exporter": "python",
350 |    "pygments_lexer": "ipython3",
351 |    "version": "3.10.12"
352 |   }
353 |  },
354 |  "nbformat": 4,
355 |  "nbformat_minor": 5
356 | }
357 | 


--------------------------------------------------------------------------------
/README.md:
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 1 | # sp500
 2 | 
 3 | ##### Current List of S&P 500 companies retrieved from the Wikipedia: `sp500.csv` 
 4 | ##### Historical Lists of S&P 500 components since 1996: `S&P 500 Historical Components & Changes(MM-DD-YYYY).csv`
 5 | ##### Example code to retrieve a snapshot of the S&P 500 components on a certain date: `sp500_by_date.ipynb`
 6 | 
 7 | ### Description of Files
 8 | 
 9 | - `S&P 500 Historical Components & Changes(MM-DD-YYYY).csv`: contains historical S&P 500 index membership from 1996 til MM-DD-YYYY.  Output from 'sp500_historical.ipynb' 
10 | - `S&P 500 Historical Components & Changes.csv`: original historical S&P 500 index membership csv file.  Input to 'sp500_historical.ipynb'
11 | - `sp500_changes_since_2019.csv`: S&P 500 composition changes since 2019.  Input to 'sp500_historical.ipynb'
12 | - `sp500.csv`: composition of S&P 500.  Output from 'sp500.ipynb'.  Input to 'sp500_historical.ipynb'
13 | 
14 | - `sp500.ipynb`: retrieves current S&P 500 composition from Wikipedia and outputs 'sp500.csv'
15 | - `sp500_historical.ipynb`: updates the original `S&P 500 Historical Components & Changes.csv` and outputs `S&P 500 Historical Components & Changes(MM-DD-YYYY).csv`
16 | - `sp500_by_date.ipynb`: example demonstrates how to retrieve a snap shot of the S&P 500 components on a certain date.  Also lists the symbols that have been added and removed from that date to the present.
17 | - `PIT to Ticker Delta.ipynb`: Convert Point in Time list of Tickers in the S&P 500 to Tickers first and last date in the S&P 500 over the history. Have some instances where tickers come and go multiple times. Data integrity is based on the base ticker list.  Outputs `sp500_ticker_start_end.csv`.
18 | 
19 | ### Notes
20 | 
21 | (1) I recommend that you get a copy of `Trading Evolved` by Andreas Clenow.  He explains the complexity of backtesting equities.  I got my original list as a download associated with the book.  `S&P 500 Historical Components & Changes.csv` is the original file that I got from him that runs from 1996 to 2019.  Every couple of months, I use the S&P 500 Wikipedia page and update `sp500_changes_since_2019.csv` with any changes that have occurred to the index.  The first thing I do when I update is to compare my latest entry to current Wikipedia page for S&P 500. I see what the differences are.  Wikipedia shows "Selected Changes" not all changes.  The changes section is helpful but not always complete. I have to Google search to get exact dates and the story of what happened. You can't reconstruct the past with only the Wikipedia changes mentioned.  The code I've written merges the original file with the index changes and outputs an updated csv file, e.g. `S&P 500 Historical Components & Changes(MM-DD-YYYY).csv`.  (It also does some data cleaning of the original).
22 | 
23 | (2) The ticker names are correct on any day you pick from the csv file.  If they are missing later, you can assume they were removed from the index and you sell that position.  Even if the company was not removed but the symbol changed, you sell.  Your algorithm will pick up the new name if it meets your criteria.  So you don't actually need the company name or any other information linking the symbols.
24 | 
25 | (3) Andreas is a professional, so I trust that his information is accurate.  In the book, he uses Norgate Data for his stock timeseries data.  Another cheaper alternative is eoddata.  You need this for the delisted and changed symbols in the S&P 500 history.  Yahoo Finance only keeps current stock history.  I'm grateful that they provide this for free.  But if you want to backtest stocks, you are going to need to purchase data.  
26 | 
27 | (4) I feel confident that the Wikipedia has the correct current members. I make sure my final list matches the Wikipedia. I'm also very careful to make the changes file `sp500_changes_since_2019.csv` as accurate as possible.
28 | 
29 | (5) It's generally not the case that there are exactly 500 stocks in the S&P 500. As of 05-05-2021, there are 505. Sometimes there may be a few less than 500 because of the timing of additions/removals to/from the index. There are 487 symbols in the first row. This is part of the original list I got from Andreas Clenow with only data cleaning and removal of duplicates (which I verified doesn't remove any unique symbols). I feel like there may be some missing symbols for those first 5 years, but I have no way to independently check it. The number of symbols seems to slowly increase moving forward in time. On 2001-01-16 there are 494 symbols and it never falls below that number again. If this is a concern (not close enough to 500), perhaps just don't use the first ~5 years of data. That still gives you over 20 years beginning in 2001.
30 | 
31 | Here are the some statistics for all the rows as of 05-05-2021.  
32 | ```
33 | count  2595    (number of rows)  
34 | mean   496.44  (number of symbols)  
35 | std    5.04  
36 | min    487  
37 | 25%    494  
38 | 50%    497  
39 | 75%    499  
40 | max    507
41 | ```
42 | 


--------------------------------------------------------------------------------
/sp500.csv:
--------------------------------------------------------------------------------
  1 | Symbol,Security,GICS Sector,GICS Sub-Industry,Headquarters Location,Date added,CIK,Founded
  2 | MMM,3M,Industrials,Industrial Conglomerates,"Saint Paul, Minnesota",1957-03-04,66740,1902
  3 | AOS,A. O. Smith,Industrials,Building Products,"Milwaukee, Wisconsin",2017-07-26,91142,1916
  4 | ABT,Abbott Laboratories,Health Care,Health Care Equipment,"North Chicago, Illinois",1957-03-04,1800,1888
  5 | ABBV,AbbVie,Health Care,Biotechnology,"North Chicago, Illinois",2012-12-31,1551152,2013 (1888)
  6 | ACN,Accenture,Information Technology,IT Consulting & Other Services,"Dublin, Ireland",2011-07-06,1467373,1989
  7 | ADBE,Adobe Inc.,Information Technology,Application Software,"San Jose, California",1997-05-05,796343,1982
  8 | AMD,Advanced Micro Devices,Information Technology,Semiconductors,"Santa Clara, California",2017-03-20,2488,1969
  9 | AES,AES Corporation,Utilities,Independent Power Producers & Energy Traders,"Arlington, Virginia",1998-10-02,874761,1981
 10 | AFL,Aflac,Financials,Life & Health Insurance,"Columbus, Georgia",1999-05-28,4977,1955
 11 | A,Agilent Technologies,Health Care,Life Sciences Tools & Services,"Santa Clara, California",2000-06-05,1090872,1999
 12 | APD,Air Products,Materials,Industrial Gases,"Upper Macungie Township, Pennsylvania",1985-04-30,2969,1940
 13 | ABNB,Airbnb,Consumer Discretionary,"Hotels, Resorts & Cruise Lines","San Francisco, California",2023-09-18,1559720,2008
 14 | AKAM,Akamai Technologies,Information Technology,Internet Services & Infrastructure,"Cambridge, Massachusetts",2007-07-12,1086222,1998
 15 | ALB,Albemarle Corporation,Materials,Specialty Chemicals,"Charlotte, North Carolina",2016-07-01,915913,1994
 16 | ARE,Alexandria Real Estate Equities,Real Estate,Office REITs,"Pasadena, California",2017-03-20,1035443,1994
 17 | ALGN,Align Technology,Health Care,Health Care Supplies,"Tempe, Arizona",2017-06-19,1097149,1997
 18 | ALLE,Allegion,Industrials,Building Products,"Dublin, Ireland",2013-12-02,1579241,1908
 19 | LNT,Alliant Energy,Utilities,Electric Utilities,"Madison, Wisconsin",2016-07-01,352541,1917
 20 | ALL,Allstate,Financials,Property & Casualty Insurance,"Northbrook, Illinois",1995-07-13,899051,1931
 21 | GOOGL,Alphabet Inc. (Class A),Communication Services,Interactive Media & Services,"Mountain View, California",2014-04-03,1652044,1998
 22 | GOOG,Alphabet Inc. (Class C),Communication Services,Interactive Media & Services,"Mountain View, California",2006-04-03,1652044,1998
 23 | MO,Altria,Consumer Staples,Tobacco,"Richmond, Virginia",1957-03-04,764180,1985
 24 | AMZN,Amazon,Consumer Discretionary,Broadline Retail,"Seattle, Washington",2005-11-18,1018724,1994
 25 | AMCR,Amcor,Materials,Paper & Plastic Packaging Products & Materials,"Warmley, Bristol, United Kingdom",2019-06-07,1748790,2019 (1860)
 26 | AEE,Ameren,Utilities,Multi-Utilities,"St. Louis, Missouri",1991-09-19,1002910,1902
 27 | AEP,American Electric Power,Utilities,Electric Utilities,"Columbus, Ohio",1957-03-04,4904,1906
 28 | AXP,American Express,Financials,Consumer Finance,"New York City, New York",1976-06-30,4962,1850
 29 | AIG,American International Group,Financials,Multi-line Insurance,"New York City, New York",1980-03-31,5272,1919
 30 | AMT,American Tower,Real Estate,Telecom Tower REITs,"Boston, Massachusetts",2007-11-19,1053507,1995
 31 | AWK,American Water Works,Utilities,Water Utilities,"Camden, New Jersey",2016-03-04,1410636,1886
 32 | AMP,Ameriprise Financial,Financials,Asset Management & Custody Banks,"Minneapolis, Minnesota",2005-10-03,820027,1894
 33 | AME,Ametek,Industrials,Electrical Components & Equipment,"Berwyn, Pennsylvania",2013-09-23,1037868,1930
 34 | AMGN,Amgen,Health Care,Biotechnology,"Thousand Oaks, California",1992-01-02,318154,1980
 35 | APH,Amphenol,Information Technology,Electronic Components,"Wallingford, Connecticut",2008-09-30,820313,1932
 36 | ADI,Analog Devices,Information Technology,Semiconductors,"Wilmington, Massachusetts",1999-10-12,6281,1965
 37 | ANSS,Ansys,Information Technology,Application Software,"Canonsburg, Pennsylvania",2017-06-19,1013462,1969
 38 | AON,Aon,Financials,Insurance Brokers,"London, UK",1996-04-23,315293,1982 (1919)
 39 | APA,APA Corporation,Energy,Oil & Gas Exploration & Production,"Houston, Texas",1997-07-28,1841666,1954
 40 | APO,Apollo Global Management,Financials,Asset Management & Custody Banks,"New York City, New York",2024-12-23,1858681,1990
 41 | AAPL,Apple Inc.,Information Technology,"Technology Hardware, Storage & Peripherals","Cupertino, California",1982-11-30,320193,1977
 42 | AMAT,Applied Materials,Information Technology,Semiconductor Materials & Equipment,"Santa Clara, California",1995-03-16,6951,1967
 43 | APTV,Aptiv,Consumer Discretionary,Automotive Parts & Equipment,"Dublin, Ireland",2012-12-24,1521332,1994
 44 | ACGL,Arch Capital Group,Financials,Property & Casualty Insurance,"Hamilton, Bermuda",2022-11-01,947484,1995
 45 | ADM,Archer Daniels Midland,Consumer Staples,Agricultural Products & Services,"Chicago, Illinois",1957-03-04,7084,1902
 46 | ANET,Arista Networks,Information Technology,Communications Equipment,"Santa Clara, California",2018-08-28,1596532,2004
 47 | AJG,Arthur J. Gallagher & Co.,Financials,Insurance Brokers,"Rolling Meadows, Illinois",2016-05-31,354190,1927
 48 | AIZ,Assurant,Financials,Multi-line Insurance,"Atlanta, Georgia",2007-04-10,1267238,1892
 49 | T,AT&T,Communication Services,Integrated Telecommunication Services,"Dallas, Texas",1983-11-30,732717,1983 (1885)
 50 | ATO,Atmos Energy,Utilities,Gas Utilities,"Dallas, Texas",2019-02-15,731802,1906
 51 | ADSK,Autodesk,Information Technology,Application Software,"San Francisco, California",1989-12-01,769397,1982
 52 | ADP,Automatic Data Processing,Industrials,Human Resource & Employment Services,"Roseland, New Jersey",1981-03-31,8670,1949
 53 | AZO,AutoZone,Consumer Discretionary,Automotive Retail,"Memphis, Tennessee",1997-01-02,866787,1979
 54 | AVB,AvalonBay Communities,Real Estate,Multi-Family Residential REITs,"Arlington, Virginia",2007-01-10,915912,1978
 55 | AVY,Avery Dennison,Materials,Paper & Plastic Packaging Products & Materials,"Mentor, Ohio",1987-12-31,8818,1935
 56 | AXON,Axon Enterprise,Industrials,Aerospace & Defense,"Scottsdale, Arizona",2023-05-04,1069183,1993
 57 | BKR,Baker Hughes,Energy,Oil & Gas Equipment & Services,"Houston, Texas",2017-07-07,1701605,2017
 58 | BALL,Ball Corporation,Materials,"Metal, Glass & Plastic Containers","Broomfield, Colorado",1984-10-31,9389,1880
 59 | BAC,Bank of America,Financials,Diversified Banks,"Charlotte, North Carolina",1976-06-30,70858,1998 (1923 / 1874)
 60 | BAX,Baxter International,Health Care,Health Care Equipment,"Deerfield, Illinois",1972-09-30,10456,1931
 61 | BDX,Becton Dickinson,Health Care,Health Care Equipment,"Franklin Lakes, New Jersey",1972-09-30,10795,1897
 62 | BRK.B,Berkshire Hathaway,Financials,Multi-Sector Holdings,"Omaha, Nebraska",2010-02-16,1067983,1839
 63 | BBY,Best Buy,Consumer Discretionary,Computer & Electronics Retail,"Richfield, Minnesota",1999-06-29,764478,1966
 64 | TECH,Bio-Techne,Health Care,Life Sciences Tools & Services,"Minneapolis, Minnesota",2021-08-30,842023,1976
 65 | BIIB,Biogen,Health Care,Biotechnology,"Cambridge, Massachusetts",2003-11-13,875045,1978
 66 | BLK,BlackRock,Financials,Asset Management & Custody Banks,"New York City, New York",2011-04-04,2012383,1988
 67 | BX,Blackstone Inc.,Financials,Asset Management & Custody Banks,"New York City, New York",2023-09-18,1393818,1985
 68 | BK,BNY Mellon,Financials,Asset Management & Custody Banks,"New York City, New York",1995-03-31,1390777,1784
 69 | BA,Boeing,Industrials,Aerospace & Defense,"Arlington, Virginia",1957-03-04,12927,1916
 70 | BKNG,Booking Holdings,Consumer Discretionary,"Hotels, Resorts & Cruise Lines","Norwalk, Connecticut",2009-11-06,1075531,1996
 71 | BWA,BorgWarner,Consumer Discretionary,Automotive Parts & Equipment,"Auburn Hills, Michigan",2011-12-19,908255,1880
 72 | BSX,Boston Scientific,Health Care,Health Care Equipment,"Marlborough, Massachusetts",1995-02-24,885725,1979
 73 | BMY,Bristol Myers Squibb,Health Care,Pharmaceuticals,"New York City, New York",1957-03-04,14272,1989 (1887)
 74 | AVGO,Broadcom,Information Technology,Semiconductors,"Palo Alto, California",2014-05-08,1730168,1961
 75 | BR,Broadridge Financial Solutions,Industrials,Data Processing & Outsourced Services,"Lake Success, New York",2018-06-18,1383312,1962
 76 | BRO,Brown & Brown,Financials,Insurance Brokers,"Daytona Beach, Florida",2021-09-20,79282,1939
 77 | BF.B,Brown–Forman,Consumer Staples,Distillers & Vintners,"Louisville, Kentucky",1982-10-31,14693,1870
 78 | BLDR,Builders FirstSource,Industrials,Building Products,"Irving, Texas",2023-12-18,1316835,1998
 79 | BG,Bunge Global,Consumer Staples,Agricultural Products & Services,"Chesterfield, Missouri",2023-03-15,1996862,1818
 80 | BXP,"BXP, Inc.",Real Estate,Office REITs,"Boston, Massachusetts",2006-04-03,1037540,1970
 81 | CHRW,C.H. Robinson,Industrials,Air Freight & Logistics,"Eden Prairie, Minnesota",2007-03-02,1043277,1905
 82 | CDNS,Cadence Design Systems,Information Technology,Application Software,"San Jose, California",2017-09-18,813672,1988
 83 | CZR,Caesars Entertainment,Consumer Discretionary,Casinos & Gaming,"Reno, Nevada",2021-03-22,1590895,1973
 84 | CPT,Camden Property Trust,Real Estate,Multi-Family Residential REITs,"Houston, Texas",2022-04-04,906345,1981
 85 | CPB,Campbell Soup Company,Consumer Staples,Packaged Foods & Meats,"Camden, New Jersey",1957-03-04,16732,1869
 86 | COF,Capital One,Financials,Consumer Finance,"Tysons Corner, Virginia",1998-07-01,927628,1994
 87 | CAH,Cardinal Health,Health Care,Health Care Distributors,"Dublin, Ohio",1997-05-27,721371,1971
 88 | KMX,CarMax,Consumer Discretionary,Automotive Retail,"Richmond, Virginia",2010-06-28,1170010,1993
 89 | CCL,Carnival,Consumer Discretionary,"Hotels, Resorts & Cruise Lines","Miami, Florida",1998-12-22,815097,1972
 90 | CARR,Carrier Global,Industrials,Building Products,"Palm Beach Gardens, Florida",2020-04-03,1783180,"2020 (1915, United Technologies spinoff)"
 91 | CAT,Caterpillar Inc.,Industrials,Construction Machinery & Heavy Transportation Equipment,"Irving, Texas",1957-03-04,18230,1925
 92 | CBOE,Cboe Global Markets,Financials,Financial Exchanges & Data,"Chicago, Illinois",2017-03-01,1374310,1973
 93 | CBRE,CBRE Group,Real Estate,Real Estate Services,"Dallas, Texas",2006-11-10,1138118,1906
 94 | CDW,CDW,Information Technology,Technology Distributors,"Vernon Hills, Illinois",2019-09-23,1402057,1984
 95 | CE,Celanese,Materials,Specialty Chemicals,"Irving, Texas",2018-12-24,1306830,1918
 96 | COR,Cencora,Health Care,Health Care Distributors,"Conshohocken, Pennsylvania",2001-08-30,1140859,1985
 97 | CNC,Centene Corporation,Health Care,Managed Health Care,"St. Louis, Missouri",2016-03-30,1071739,1984
 98 | CNP,CenterPoint Energy,Utilities,Multi-Utilities,"Houston, Texas",1985-07-31,1130310,1882
 99 | CF,CF Industries,Materials,Fertilizers & Agricultural Chemicals,"Deerfield, Illinois",2008-08-27,1324404,1946
100 | CRL,Charles River Laboratories,Health Care,Life Sciences Tools & Services,"Wilmington, Massachusetts",2021-05-14,1100682,1947
101 | SCHW,Charles Schwab Corporation,Financials,Investment Banking & Brokerage,"Westlake, Texas",1997-06-02,316709,1971
102 | CHTR,Charter Communications,Communication Services,Cable & Satellite,"Stamford, Connecticut",2016-09-08,1091667,1993
103 | CVX,Chevron Corporation,Energy,Integrated Oil & Gas,"San Ramon, California",1957-03-04,93410,1879
104 | CMG,Chipotle Mexican Grill,Consumer Discretionary,Restaurants,"Newport Beach, California",2011-04-28,1058090,1993
105 | CB,Chubb Limited,Financials,Property & Casualty Insurance,"Zurich, Switzerland",2010-07-15,896159,1985
106 | CHD,Church & Dwight,Consumer Staples,Household Products,"Ewing, New Jersey",2015-12-29,313927,1847
107 | CI,Cigna,Health Care,Health Care Services,"Bloomfield, Connecticut",1976-06-30,1739940,1982
108 | CINF,Cincinnati Financial,Financials,Property & Casualty Insurance,"Fairfield, Ohio",1997-12-18,20286,1950
109 | CTAS,Cintas,Industrials,Diversified Support Services,"Mason, Ohio",2001-03-01,723254,1929
110 | CSCO,Cisco,Information Technology,Communications Equipment,"San Jose, California",1993-12-01,858877,1984
111 | C,Citigroup,Financials,Diversified Banks,"New York City, New York",1988-05-31,831001,1998
112 | CFG,Citizens Financial Group,Financials,Regional Banks,"Providence, Rhode Island",2016-01-29,759944,1828
113 | CLX,Clorox,Consumer Staples,Household Products,"Oakland, California",1969-03-31,21076,1913
114 | CME,CME Group,Financials,Financial Exchanges & Data,"Chicago, Illinois",2006-08-11,1156375,1848
115 | CMS,CMS Energy,Utilities,Multi-Utilities,"Jackson, Michigan",1957-03-04,811156,1886
116 | KO,Coca-Cola Company (The),Consumer Staples,Soft Drinks & Non-alcoholic Beverages,"Atlanta, Georgia",1957-03-04,21344,1886
117 | CTSH,Cognizant,Information Technology,IT Consulting & Other Services,"Teaneck, New Jersey",2006-11-17,1058290,1994
118 | CL,Colgate-Palmolive,Consumer Staples,Household Products,"New York City, New York",1957-03-04,21665,1806
119 | CMCSA,Comcast,Communication Services,Cable & Satellite,"Philadelphia, Pennsylvania",2002-11-19,1166691,1963
120 | CAG,Conagra Brands,Consumer Staples,Packaged Foods & Meats,"Chicago, Illinois",1983-08-31,23217,1919
121 | COP,ConocoPhillips,Energy,Oil & Gas Exploration & Production,"Houston, Texas",1957-03-04,1163165,2002
122 | ED,Consolidated Edison,Utilities,Multi-Utilities,"New York City, New York",1957-03-04,1047862,1823
123 | STZ,Constellation Brands,Consumer Staples,Distillers & Vintners,"Rochester, New York",2005-07-01,16918,1945
124 | CEG,Constellation Energy,Utilities,Electric Utilities,"Baltimore, Maryland",2022-02-02,1868275,1999
125 | COO,Cooper Companies (The),Health Care,Health Care Supplies,"San Ramon, California",2016-09-23,711404,1958
126 | CPRT,Copart,Industrials,Diversified Support Services,"Dallas, Texas",2018-07-02,900075,1982
127 | GLW,Corning Inc.,Information Technology,Electronic Components,"Corning, New York",1995-02-27,24741,1851
128 | CPAY,Corpay,Financials,Transaction & Payment Processing Services,"Atlanta, Georgia",2018-06-20,1175454,2000
129 | CTVA,Corteva,Materials,Fertilizers & Agricultural Chemicals,"Indianapolis, Indiana",2019-06-03,1755672,2019
130 | CSGP,CoStar Group,Real Estate,Real Estate Services,"Washington, D.C.",2022-09-19,1057352,1987
131 | COST,Costco,Consumer Staples,Consumer Staples Merchandise Retail,"Issaquah, Washington",1993-10-01,909832,1976
132 | CTRA,Coterra,Energy,Oil & Gas Exploration & Production,"Houston, Texas",2008-06-23,858470,2021 (1989)
133 | CRWD,CrowdStrike,Information Technology,Systems Software,"Austin, Texas",2024-06-24,1535527,2011
134 | CCI,Crown Castle,Real Estate,Telecom Tower REITs,"Houston, Texas",2012-03-14,1051470,1994
135 | CSX,CSX Corporation,Industrials,Rail Transportation,"Jacksonville, Florida",1957-03-04,277948,1980
136 | CMI,Cummins,Industrials,Construction Machinery & Heavy Transportation Equipment,"Columbus, Indiana",1965-03-31,26172,1919
137 | CVS,CVS Health,Health Care,Health Care Services,"Woonsocket, Rhode Island",1957-03-04,64803,1996
138 | DHR,Danaher Corporation,Health Care,Life Sciences Tools & Services,"Washington, D.C.",1998-11-18,313616,1969
139 | DRI,Darden Restaurants,Consumer Discretionary,Restaurants,"Orlando, Florida",1995-05-31,940944,1938
140 | DVA,DaVita,Health Care,Health Care Services,"Denver, Colorado",2008-07-31,927066,1979
141 | DAY,Dayforce,Industrials,Human Resource & Employment Services,"Minneapolis, Minnesota",2021-09-20,1725057,1992
142 | DECK,Deckers Brands,Consumer Discretionary,Footwear,"Goleta, California",2024-03-18,910521,1973
143 | DE,Deere & Company,Industrials,Agricultural & Farm Machinery,"Moline, Illinois",1957-03-04,315189,1837
144 | DELL,Dell Technologies,Information Technology,"Technology Hardware, Storage & Peripherals","Round Rock, Texas",2024-09-23,1571996,2016
145 | DAL,Delta Air Lines,Industrials,Passenger Airlines,"Atlanta, Georgia",2013-09-11,27904,1929
146 | DVN,Devon Energy,Energy,Oil & Gas Exploration & Production,"Oklahoma City, Oklahoma",2000-08-30,1090012,1971
147 | DXCM,Dexcom,Health Care,Health Care Equipment,"San Diego, California",2020-05-12,1093557,1999
148 | FANG,Diamondback Energy,Energy,Oil & Gas Exploration & Production,"Midland, Texas",2018-12-03,1539838,2007
149 | DLR,Digital Realty,Real Estate,Data Center REITs,"Austin, Texas",2016-05-18,1297996,2004
150 | DFS,Discover Financial,Financials,Consumer Finance,"Riverwoods, Illinois",2007-07-02,1393612,1985
151 | DG,Dollar General,Consumer Staples,Consumer Staples Merchandise Retail,"Goodlettsville, Tennessee",2012-12-03,29534,1939
152 | DLTR,Dollar Tree,Consumer Staples,Consumer Staples Merchandise Retail,"Chesapeake, Virginia",2011-12-19,935703,1986
153 | D,Dominion Energy,Utilities,Multi-Utilities,"Richmond, Virginia",2016-11-30,715957,1983
154 | DPZ,Domino's,Consumer Discretionary,Restaurants,"Ann Arbor, Michigan",2020-05-12,1286681,1960
155 | DOV,Dover Corporation,Industrials,Industrial Machinery & Supplies & Components,"Downers Grove, Illinois",1985-10-31,29905,1955
156 | DOW,Dow Inc.,Materials,Commodity Chemicals,"Midland, Michigan",2019-04-01,1751788,2019 (1897)
157 | DHI,D. R. Horton,Consumer Discretionary,Homebuilding,"Arlington, Texas",2005-06-22,882184,1978
158 | DTE,DTE Energy,Utilities,Multi-Utilities,"Detroit, Michigan",1957-03-04,936340,1995
159 | DUK,Duke Energy,Utilities,Electric Utilities,"Charlotte, North Carolina",1976-06-30,1326160,1904
160 | DD,DuPont,Materials,Specialty Chemicals,"Wilmington, Delaware",2019-04-02,1666700,2017 (1802)
161 | EMN,Eastman Chemical Company,Materials,Specialty Chemicals,"Kingsport, Tennessee",1994-01-01,915389,1920
162 | ETN,Eaton Corporation,Industrials,Electrical Components & Equipment,"Dublin, Ireland",1957-03-04,1551182,1911
163 | EBAY,eBay,Consumer Discretionary,Broadline Retail,"San Jose, California",2002-07-22,1065088,1995
164 | ECL,Ecolab,Materials,Specialty Chemicals,"Saint Paul, Minnesota",1989-01-31,31462,1923
165 | EIX,Edison International,Utilities,Electric Utilities,"Rosemead, California",1957-03-04,827052,1886
166 | EW,Edwards Lifesciences,Health Care,Health Care Equipment,"Irvine, California",2011-04-01,1099800,1958
167 | EA,Electronic Arts,Communication Services,Interactive Home Entertainment,"Redwood City, California",2002-07-22,712515,1982
168 | ELV,Elevance Health,Health Care,Managed Health Care,"Indianapolis, Indiana",2002-07-25,1156039,2014 (1946)
169 | EMR,Emerson Electric,Industrials,Electrical Components & Equipment,"Ferguson, Missouri",1965-03-31,32604,1890
170 | ENPH,Enphase Energy,Information Technology,Semiconductor Materials & Equipment,"Fremont, California",2021-01-07,1463101,2006
171 | ETR,Entergy,Utilities,Electric Utilities,"New Orleans, Louisiana",1957-03-04,65984,1913
172 | EOG,EOG Resources,Energy,Oil & Gas Exploration & Production,"Houston, Texas",2000-11-02,821189,1999
173 | EPAM,EPAM Systems,Information Technology,IT Consulting & Other Services,"Newtown, Pennsylvania",2021-12-14,1352010,1993
174 | EQT,EQT Corporation,Energy,Oil & Gas Exploration & Production,"Pittsburgh, Pennsylvania",2022-10-03,33213,1888
175 | EFX,Equifax,Industrials,Research & Consulting Services,"Atlanta, Georgia",1997-06-19,33185,1899
176 | EQIX,Equinix,Real Estate,Data Center REITs,"Redwood City, California",2015-03-20,1101239,1998
177 | EQR,Equity Residential,Real Estate,Multi-Family Residential REITs,"Chicago, Illinois",2001-12-03,906107,1969
178 | ERIE,Erie Indemnity,Financials,Insurance Brokers,"Erie, Pennsylvania",2024-09-23,922621,1925
179 | ESS,Essex Property Trust,Real Estate,Multi-Family Residential REITs,"San Mateo, California",2014-04-02,920522,1971
180 | EL,Estée Lauder Companies (The),Consumer Staples,Personal Care Products,"New York City, New York",2006-01-05,1001250,1946
181 | EG,Everest Group,Financials,Reinsurance,"Hamilton, Bermuda",2017-06-19,1095073,1973
182 | EVRG,Evergy,Utilities,Electric Utilities,"Kansas City, Missouri",2018-06-05,1711269,1909
183 | ES,Eversource Energy,Utilities,Electric Utilities,"Hartford, Connecticut",2009-07-24,72741,1966
184 | EXC,Exelon,Utilities,Electric Utilities,"Chicago, Illinois",1957-03-04,1109357,2000
185 | EXPE,Expedia Group,Consumer Discretionary,"Hotels, Resorts & Cruise Lines","Seattle, Washington",2007-10-02,1324424,1996
186 | EXPD,Expeditors International,Industrials,Air Freight & Logistics,"Seattle, Washington",2007-10-10,746515,1979
187 | EXR,Extra Space Storage,Real Estate,Self-Storage REITs,"Salt Lake City, Utah",2016-01-19,1289490,1977
188 | XOM,ExxonMobil,Energy,Integrated Oil & Gas,"Irving, Texas",1957-03-04,34088,1999
189 | FFIV,"F5, Inc.",Information Technology,Communications Equipment,"Seattle, Washington",2010-12-20,1048695,1996
190 | FDS,FactSet,Financials,Financial Exchanges & Data,"Norwalk, Connecticut",2021-12-20,1013237,1978
191 | FICO,Fair Isaac,Information Technology,Application Software,"Bozeman, Montana",2023-03-20,814547,1956
192 | FAST,Fastenal,Industrials,Trading Companies & Distributors,"Winona, Minnesota",2008-09-15,815556,1967
193 | FRT,Federal Realty Investment Trust,Real Estate,Retail REITs,"Rockville, Maryland",2016-02-01,34903,1962
194 | FDX,FedEx,Industrials,Air Freight & Logistics,"Memphis, Tennessee",1980-12-31,1048911,1971
195 | FIS,Fidelity National Information Services,Financials,Transaction & Payment Processing Services,"Jacksonville, Florida",2006-11-10,1136893,1968
196 | FITB,Fifth Third Bancorp,Financials,Regional Banks,"Cincinnati, Ohio",1996-03-29,35527,1858
197 | FSLR,First Solar,Information Technology,Semiconductors,"Tempe, Arizona",2022-12-19,1274494,1999
198 | FE,FirstEnergy,Utilities,Electric Utilities,"Akron, Ohio",1997-11-28,1031296,1997
199 | FI,Fiserv,Financials,Transaction & Payment Processing Services,"Brookfield, Wisconsin",2001-04-02,798354,1984
200 | FMC,FMC Corporation,Materials,Fertilizers & Agricultural Chemicals,"Philadelphia, Pennsylvania",2009-08-19,37785,1883
201 | F,Ford Motor Company,Consumer Discretionary,Automobile Manufacturers,"Dearborn, Michigan",1957-03-04,37996,1903
202 | FTNT,Fortinet,Information Technology,Systems Software,"Sunnyvale, California",2018-10-11,1262039,2000
203 | FTV,Fortive,Industrials,Industrial Machinery & Supplies & Components,"Everett, Washington",2016-07-01,1659166,2016
204 | FOXA,Fox Corporation (Class A),Communication Services,Broadcasting,"New York City, New York",2019-03-04,1754301,2019
205 | FOX,Fox Corporation (Class B),Communication Services,Broadcasting,"New York City, New York",2019-03-04,1754301,2019
206 | BEN,Franklin Resources,Financials,Asset Management & Custody Banks,"San Mateo, California",1998-04-30,38777,1947
207 | FCX,Freeport-McMoRan,Materials,Copper,"Phoenix, Arizona",2011-07-01,831259,1912
208 | GRMN,Garmin,Consumer Discretionary,Consumer Electronics,"Schaffhausen, Switzerland",2012-12-12,1121788,1989
209 | IT,Gartner,Information Technology,IT Consulting & Other Services,"Stamford, Connecticut",2017-04-05,749251,1979
210 | GE,GE Aerospace,Industrials,Aerospace & Defense,"Evendale, Ohio",1957-03-04,40545,1892
211 | GEHC,GE HealthCare,Health Care,Health Care Equipment,"Chicago, Illinois",2023-01-04,1932393,1994
212 | GEV,GE Vernova,Industrials,Heavy Electrical Equipment,"Cambridge, Massachusetts",2024-04-02,1996810,2024
213 | GEN,Gen Digital,Information Technology,Systems Software,"Tempe, Arizona",2003-03-25,849399,1982
214 | GNRC,Generac,Industrials,Electrical Components & Equipment,"Waukesha, Wisconsin",2021-03-22,1474735,1959
215 | GD,General Dynamics,Industrials,Aerospace & Defense,"Falls Church, Virginia",1957-03-04,40533,1899
216 | GIS,General Mills,Consumer Staples,Packaged Foods & Meats,"Golden Valley, Minnesota",1957-03-04,40704,1856
217 | GM,General Motors,Consumer Discretionary,Automobile Manufacturers,"Detroit, Michigan",2013-06-06,1467858,1908
218 | GPC,Genuine Parts Company,Consumer Discretionary,Distributors,"Atlanta, Georgia",1973-12-31,40987,1925
219 | GILD,Gilead Sciences,Health Care,Biotechnology,"Foster City, California",2004-07-01,882095,1987
220 | GPN,Global Payments,Financials,Transaction & Payment Processing Services,"Atlanta, Georgia",2016-04-25,1123360,2000
221 | GL,Globe Life,Financials,Life & Health Insurance,"McKinney, Texas",1989-04-30,320335,1900
222 | GDDY,GoDaddy,Information Technology,Internet Services & Infrastructure,"Tempe, Arizona",2024-06-24,1609711,1997
223 | GS,Goldman Sachs,Financials,Investment Banking & Brokerage,"New York City, New York",2002-07-22,886982,1869
224 | HAL,Halliburton,Energy,Oil & Gas Equipment & Services,"Houston, Texas",1957-03-04,45012,1919
225 | HIG,Hartford (The),Financials,Property & Casualty Insurance,"Hartford, Connecticut",1957-03-04,874766,1810
226 | HAS,Hasbro,Consumer Discretionary,Leisure Products,"Pawtucket, Rhode Island",1984-09-30,46080,1923
227 | HCA,HCA Healthcare,Health Care,Health Care Facilities,"Nashville, Tennessee",2015-01-27,860730,1968
228 | DOC,Healthpeak Properties,Real Estate,Health Care REITs,"Denver, Colorado",2008-03-31,765880,1985
229 | HSIC,Henry Schein,Health Care,Health Care Distributors,"Melville, New York",2015-03-17,1000228,1932
230 | HSY,Hershey Company (The),Consumer Staples,Packaged Foods & Meats,"Hershey, Pennsylvania",1957-03-04,47111,1894
231 | HES,Hess Corporation,Energy,Integrated Oil & Gas,"New York City, New York",1984-05-31,4447,1919
232 | HPE,Hewlett Packard Enterprise,Information Technology,"Technology Hardware, Storage & Peripherals","Houston, Texas",2015-11-02,1645590,2015
233 | HLT,Hilton Worldwide,Consumer Discretionary,"Hotels, Resorts & Cruise Lines","Tysons Corner, Virginia",2017-06-19,1585689,1919
234 | HOLX,Hologic,Health Care,Health Care Equipment,"Marlborough, Massachusetts",2016-03-30,859737,1985
235 | HD,Home Depot (The),Consumer Discretionary,Home Improvement Retail,"Atlanta, Georgia",1988-03-31,354950,1978
236 | HON,Honeywell,Industrials,Industrial Conglomerates,"Charlotte, North Carolina",1957-03-04,773840,1906
237 | HRL,Hormel Foods,Consumer Staples,Packaged Foods & Meats,"Austin, Minnesota",2009-03-04,48465,1891
238 | HST,Host Hotels & Resorts,Real Estate,Hotel & Resort REITs,"Bethesda, Maryland",2007-03-20,1070750,1993
239 | HWM,Howmet Aerospace,Industrials,Aerospace & Defense,"Pittsburgh, Pennsylvania",2016-10-21,4281,1888
240 | HPQ,HP Inc.,Information Technology,"Technology Hardware, Storage & Peripherals","Palo Alto, California",1974-12-31,47217,1939 (2015)
241 | HUBB,Hubbell Incorporated,Industrials,Industrial Machinery & Supplies & Components,"Shelton, Connecticut",2023-10-18,48898,1888
242 | HUM,Humana,Health Care,Managed Health Care,"Louisville, Kentucky",2012-12-10,49071,1961
243 | HBAN,Huntington Bancshares,Financials,Regional Banks,"Columbus, Ohio; Detroit, Michigan",1997-08-28,49196,1866
244 | HII,Huntington Ingalls Industries,Industrials,Aerospace & Defense,"Newport News, Virginia",2018-01-03,1501585,2011
245 | IBM,IBM,Information Technology,IT Consulting & Other Services,"Armonk, New York",1957-03-04,51143,1911
246 | IEX,IDEX Corporation,Industrials,Industrial Machinery & Supplies & Components,"Lake Forest, Illinois",2019-08-09,832101,1988
247 | IDXX,Idexx Laboratories,Health Care,Health Care Equipment,"Westbrook, Maine",2017-01-05,874716,1983
248 | ITW,Illinois Tool Works,Industrials,Industrial Machinery & Supplies & Components,"Glenview, Illinois",1986-02-28,49826,1912
249 | INCY,Incyte,Health Care,Biotechnology,"Wilmington, Delaware",2017-02-28,879169,1991
250 | IR,Ingersoll Rand,Industrials,Industrial Machinery & Supplies & Components,"Davidson, North Carolina",2020-03-03,1699150,1859
251 | PODD,Insulet Corporation,Health Care,Health Care Equipment,"Acton, Massachusetts",2023-03-15,1145197,2000
252 | INTC,Intel,Information Technology,Semiconductors,"Santa Clara, California",1976-12-31,50863,1968
253 | ICE,Intercontinental Exchange,Financials,Financial Exchanges & Data,"Atlanta, Georgia",2007-09-26,1571949,2000
254 | IFF,International Flavors & Fragrances,Materials,Specialty Chemicals,"New York City, New York",1976-03-31,51253,1958 (1889)
255 | IP,International Paper,Materials,Paper & Plastic Packaging Products & Materials,"Memphis, Tennessee",1957-03-04,51434,1898
256 | IPG,Interpublic Group of Companies (The),Communication Services,Advertising,"New York City, New York",1992-10-01,51644,1961 (1930)
257 | INTU,Intuit,Information Technology,Application Software,"Mountain View, California",2000-12-05,896878,1983
258 | ISRG,Intuitive Surgical,Health Care,Health Care Equipment,"Sunnyvale, California",2008-06-02,1035267,1995
259 | IVZ,Invesco,Financials,Asset Management & Custody Banks,"Atlanta, Georgia",2008-08-21,914208,1935
260 | INVH,Invitation Homes,Real Estate,Single-Family Residential REITs,"Dallas, Texas",2022-09-19,1687229,2012
261 | IQV,IQVIA,Health Care,Life Sciences Tools & Services,"Durham, North Carolina",2017-08-29,1478242,1982
262 | IRM,Iron Mountain,Real Estate,Other Specialized REITs,"Boston, Massachusetts",2009-01-06,1020569,1951
263 | JBHT,J.B. Hunt,Industrials,Cargo Ground Transportation,"Lowell, Arkansas",2015-07-01,728535,1961
264 | JBL,Jabil,Information Technology,Electronic Manufacturing Services,"St. Petersburg, Florida",2023-12-18,898293,1966
265 | JKHY,Jack Henry & Associates,Financials,Transaction & Payment Processing Services,"Monett, Missouri",2018-11-13,779152,1976
266 | J,Jacobs Solutions,Industrials,Construction & Engineering,"Dallas, Texas",2007-10-26,52988,1947
267 | JNJ,Johnson & Johnson,Health Care,Pharmaceuticals,"New Brunswick, New Jersey",1973-06-30,200406,1886
268 | JCI,Johnson Controls,Industrials,Building Products,"Cork, Ireland",2010-08-27,833444,1885
269 | JPM,JPMorgan Chase,Financials,Diversified Banks,"New York City, New York",1975-06-30,19617,2000 (1799 / 1871)
270 | JNPR,Juniper Networks,Information Technology,Communications Equipment,"Sunnyvale, California",2006-06-02,1043604,1996
271 | K,Kellanova,Consumer Staples,Packaged Foods & Meats,"Chicago, Illinois",1989-09-11,55067,1906
272 | KVUE,Kenvue,Consumer Staples,Personal Care Products,"Skillman, New Jersey",2023-08-25,1944048,2022 (Johnson & Johnson spinoff)
273 | KDP,Keurig Dr Pepper,Consumer Staples,Soft Drinks & Non-alcoholic Beverages,"Burlington, Massachusetts",2022-06-21,1418135,1981
274 | KEY,KeyCorp,Financials,Regional Banks,"Cleveland, Ohio",1994-03-01,91576,1825
275 | KEYS,Keysight Technologies,Information Technology,Electronic Equipment & Instruments,"Santa Rosa, California",2018-11-06,1601046,2014 (1939)
276 | KMB,Kimberly-Clark,Consumer Staples,Household Products,"Irving, Texas",1957-03-04,55785,1872
277 | KIM,Kimco Realty,Real Estate,Retail REITs,"Jericho, New York",2006-04-04,879101,1958
278 | KMI,Kinder Morgan,Energy,Oil & Gas Storage & Transportation,"Houston, Texas",2012-05-25,1506307,1997
279 | KKR,KKR,Financials,Asset Management & Custody Banks,"New York City, New York",2024-06-24,1404912,1976
280 | KLAC,KLA Corporation,Information Technology,Semiconductor Materials & Equipment,"Milpitas, California",1997-09-30,319201,1975/1977 (1997)
281 | KHC,Kraft Heinz,Consumer Staples,Packaged Foods & Meats,"Chicago, Illinois; Pittsburgh, Pennsylvania",2015-07-06,1637459,2015 (1869)
282 | KR,Kroger,Consumer Staples,Food Retail,"Cincinnati, Ohio",1957-03-04,56873,1883
283 | LHX,L3Harris,Industrials,Aerospace & Defense,"Melbourne, Florida",2008-09-22,202058,"2019 (L3 1997, Harris 1895)"
284 | LH,LabCorp,Health Care,Health Care Services,"Burlington, North Carolina",2004-11-01,920148,1978
285 | LRCX,Lam Research,Information Technology,Semiconductor Materials & Equipment,"Fremont, California",2012-06-29,707549,1980
286 | LW,Lamb Weston,Consumer Staples,Packaged Foods & Meats,"Eagle, Idaho",2018-12-03,1679273,2016 (1950)
287 | LVS,Las Vegas Sands,Consumer Discretionary,Casinos & Gaming,"Las Vegas, Nevada",2019-10-03,1300514,1988
288 | LDOS,Leidos,Industrials,Diversified Support Services,"Reston, Virginia",2019-08-09,1336920,1969
289 | LEN,Lennar,Consumer Discretionary,Homebuilding,"Miami, Florida",2005-10-04,920760,1954
290 | LII,Lennox International,Industrials,Building Products,"Richardson, Texas",2024-12-23,1069202,1895
291 | LLY,Lilly (Eli),Health Care,Pharmaceuticals,"Indianapolis, Indiana",1970-12-31,59478,1876
292 | LIN,Linde plc,Materials,Industrial Gases,"Guildford, United Kingdom",1992-07-01,1707925,1879
293 | LYV,Live Nation Entertainment,Communication Services,Movies & Entertainment,"Beverly Hills, California",2019-12-23,1335258,2010
294 | LKQ,LKQ Corporation,Consumer Discretionary,Distributors,"Chicago, Illinois",2016-05-23,1065696,1998
295 | LMT,Lockheed Martin,Industrials,Aerospace & Defense,"Bethesda, Maryland",1957-03-04,936468,1995
296 | L,Loews Corporation,Financials,Multi-line Insurance,"New York City, New York",1995-05-31,60086,1959
297 | LOW,Lowe's,Consumer Discretionary,Home Improvement Retail,"Mooresville, North Carolina",1984-02-29,60667,1904/1946/1959
298 | LULU,Lululemon Athletica,Consumer Discretionary,"Apparel, Accessories & Luxury Goods","Vancouver, Canada",2023-10-18,1397187,1998
299 | LYB,LyondellBasell,Materials,Specialty Chemicals,"Rotterdam, Netherlands",2012-09-05,1489393,2007
300 | MTB,M&T Bank,Financials,Regional Banks,"Buffalo, New York",2004-02-23,36270,1856
301 | MPC,Marathon Petroleum,Energy,Oil & Gas Refining & Marketing,"Findlay, Ohio",2011-07-01,1510295,2009 (1887)
302 | MKTX,MarketAxess,Financials,Financial Exchanges & Data,"New York City, New York",2019-07-01,1278021,2000
303 | MAR,Marriott International,Consumer Discretionary,"Hotels, Resorts & Cruise Lines","Bethesda, Maryland",1998-05-29,1048286,1927
304 | MMC,Marsh McLennan,Financials,Insurance Brokers,"New York City, New York",1987-08-31,62709,1905
305 | MLM,Martin Marietta Materials,Materials,Construction Materials,"Raleigh, North Carolina",2014-07-02,916076,1993
306 | MAS,Masco,Industrials,Building Products,"Livonia, Michigan",1981-06-30,62996,1929
307 | MA,Mastercard,Financials,Transaction & Payment Processing Services,"Harrison, New York",2008-07-18,1141391,1966
308 | MTCH,Match Group,Communication Services,Interactive Media & Services,"Dallas, Texas",2021-09-20,891103,1986
309 | MKC,McCormick & Company,Consumer Staples,Packaged Foods & Meats,"Hunt Valley, Maryland",2003-03-20,63754,1889
310 | MCD,McDonald's,Consumer Discretionary,Restaurants,"Chicago, Illinois",1970-06-30,63908,1940
311 | MCK,McKesson Corporation,Health Care,Health Care Distributors,"Irving, Texas",1999-01-13,927653,1833
312 | MDT,Medtronic,Health Care,Health Care Equipment,"Dublin, Ireland",1986-10-31,1613103,1949
313 | MRK,Merck & Co.,Health Care,Pharmaceuticals,"Kenilworth, New Jersey",1957-03-04,310158,1891
314 | META,Meta Platforms,Communication Services,Interactive Media & Services,"Menlo Park, California",2013-12-23,1326801,2004
315 | MET,MetLife,Financials,Life & Health Insurance,"New York City, New York",2000-12-11,1099219,1868
316 | MTD,Mettler Toledo,Health Care,Life Sciences Tools & Services,"Columbus, Ohio",2016-09-06,1037646,1945
317 | MGM,MGM Resorts,Consumer Discretionary,Casinos & Gaming,"Paradise, Nevada",2017-07-26,789570,1986
318 | MCHP,Microchip Technology,Information Technology,Semiconductors,"Chandler, Arizona",2007-09-07,827054,1989
319 | MU,Micron Technology,Information Technology,Semiconductors,"Boise, Idaho",1994-09-27,723125,1978
320 | MSFT,Microsoft,Information Technology,Systems Software,"Redmond, Washington",1994-06-01,789019,1975
321 | MAA,Mid-America Apartment Communities,Real Estate,Multi-Family Residential REITs,"Memphis, Tennessee",2016-12-02,912595,1977
322 | MRNA,Moderna,Health Care,Biotechnology,"Cambridge, Massachusetts",2021-07-21,1682852,2010
323 | MHK,Mohawk Industries,Consumer Discretionary,Home Furnishings,"Calhoun, Georgia",2013-12-23,851968,1878
324 | MOH,Molina Healthcare,Health Care,Managed Health Care,"Long Beach, California",2022-03-02,1179929,1980
325 | TAP,Molson Coors Beverage Company,Consumer Staples,Brewers,"Chicago, Illinois",1976-06-30,24545,"2005 (Molson 1786, Coors 1873)"
326 | MDLZ,Mondelez International,Consumer Staples,Packaged Foods & Meats,"Chicago, Illinois",2012-10-02,1103982,2012
327 | MPWR,Monolithic Power Systems,Information Technology,Semiconductors,"Kirkland, Washington",2021-02-12,1280452,1997
328 | MNST,Monster Beverage,Consumer Staples,Soft Drinks & Non-alcoholic Beverages,"Corona, California",2012-06-28,865752,2012 (1935)
329 | MCO,Moody's Corporation,Financials,Financial Exchanges & Data,"New York City, New York",1998-07-01,1059556,1909
330 | MS,Morgan Stanley,Financials,Investment Banking & Brokerage,"New York City, New York",1993-07-29,895421,1935
331 | MOS,Mosaic Company (The),Materials,Fertilizers & Agricultural Chemicals,"Tampa, Florida",2011-09-26,1285785,2004 (1865 / 1909)
332 | MSI,Motorola Solutions,Information Technology,Communications Equipment,"Chicago, Illinois",1957-03-04,68505,1928 (2011)
333 | MSCI,MSCI,Financials,Financial Exchanges & Data,"New York City, New York",2018-04-04,1408198,1969
334 | NDAQ,"Nasdaq, Inc.",Financials,Financial Exchanges & Data,"New York City, New York",2008-10-22,1120193,1971
335 | NTAP,NetApp,Information Technology,"Technology Hardware, Storage & Peripherals","San Jose, California",1999-06-25,1002047,1992
336 | NFLX,Netflix,Communication Services,Movies & Entertainment,"Los Gatos, California",2010-12-20,1065280,1997
337 | NEM,Newmont,Materials,Gold,"Denver, Colorado",1969-06-30,1164727,1921
338 | NWSA,News Corp (Class A),Communication Services,Publishing,"New York City, New York",2013-08-01,1564708,2013 (News Corporation 1980)
339 | NWS,News Corp (Class B),Communication Services,Publishing,"New York City, New York",2015-09-18,1564708,2013 (News Corporation 1980)
340 | NEE,NextEra Energy,Utilities,Multi-Utilities,"Juno Beach, Florida",1976-06-30,753308,1984 (1925)
341 | NKE,"Nike, Inc.",Consumer Discretionary,"Apparel, Accessories & Luxury Goods","Washington County, Oregon",1988-11-30,320187,1964
342 | NI,NiSource,Utilities,Multi-Utilities,"Merrillville, Indiana",2000-11-02,1111711,1912
343 | NDSN,Nordson Corporation,Industrials,Industrial Machinery & Supplies & Components,"Westlake, Ohio",2022-02-15,72331,1935
344 | NSC,Norfolk Southern Railway,Industrials,Rail Transportation,"Atlanta, Georgia",1957-03-04,702165,1881/1894 (1980)
345 | NTRS,Northern Trust,Financials,Asset Management & Custody Banks,"Chicago, Illinois",1998-01-30,73124,1889
346 | NOC,Northrop Grumman,Industrials,Aerospace & Defense,"West Falls Church, Virginia",1957-03-04,1133421,"1994 (Northrop 1939, Grumman 1930)"
347 | NCLH,Norwegian Cruise Line Holdings,Consumer Discretionary,"Hotels, Resorts & Cruise Lines","Miami, Florida",2017-10-13,1513761,2011 (1966)
348 | NRG,NRG Energy,Utilities,Independent Power Producers & Energy Traders,"Houston, Texas",2010-01-29,1013871,1992
349 | NUE,Nucor,Materials,Steel,"Charlotte, North Carolina",1985-04-30,73309,1940
350 | NVDA,Nvidia,Information Technology,Semiconductors,"Santa Clara, California",2001-11-30,1045810,1993
351 | NVR,"NVR, Inc.",Consumer Discretionary,Homebuilding,"Reston, Virginia",2019-09-26,906163,1980
352 | NXPI,NXP Semiconductors,Information Technology,Semiconductors,"Eindhoven, Netherlands",2021-03-22,1413447,1953
353 | ORLY,O'Reilly Auto Parts,Consumer Discretionary,Automotive Retail,"Springfield, Missouri",2009-03-27,898173,1957
354 | OXY,Occidental Petroleum,Energy,Oil & Gas Exploration & Production,"Houston, Texas",1957-03-04,797468,1920
355 | ODFL,Old Dominion,Industrials,Cargo Ground Transportation,"Thomasville, North Carolina",2019-12-09,878927,1934
356 | OMC,Omnicom Group,Communication Services,Advertising,"New York City, New York",1997-12-31,29989,1986
357 | ON,ON Semiconductor,Information Technology,Semiconductors,"Phoenix, Arizona",2022-06-21,1097864,1999
358 | OKE,ONEOK,Energy,Oil & Gas Storage & Transportation,"Tulsa, Oklahoma",2010-03-15,1039684,1906
359 | ORCL,Oracle Corporation,Information Technology,Application Software,"Austin, Texas",1989-08-31,1341439,1977
360 | OTIS,Otis Worldwide,Industrials,Industrial Machinery & Supplies & Components,"Farmington, Connecticut",2020-04-03,1781335,"2020 (1853, United Technologies spinoff)"
361 | PCAR,Paccar,Industrials,Construction Machinery & Heavy Transportation Equipment,"Bellevue, Washington",1980-12-31,75362,1905
362 | PKG,Packaging Corporation of America,Materials,Paper & Plastic Packaging Products & Materials,"Lake Forest, Illinois",2017-07-26,75677,1959
363 | PLTR,Palantir Technologies,Information Technology,Internet Services & Infrastructure,"Denver, Colorado",2024-09-23,1321655,2003
364 | PANW,Palo Alto Networks,Information Technology,Systems Software,"Santa Clara, California",2023-06-20,1327567,2005
365 | PARA,Paramount Global,Communication Services,Movies & Entertainment,"New York City, New York",1994-09-30,813828,2019 (Paramount Pictures 1912)
366 | PH,Parker Hannifin,Industrials,Industrial Machinery & Supplies & Components,"Cleveland, Ohio",1985-11-30,76334,1917
367 | PAYX,Paychex,Industrials,Human Resource & Employment Services,"Penfield, New York",1998-10-01,723531,1971
368 | PAYC,Paycom,Industrials,Human Resource & Employment Services,"Oklahoma City, Oklahoma",2020-01-28,1590955,1998
369 | PYPL,PayPal,Financials,Transaction & Payment Processing Services,"San Jose, California",2015-07-20,1633917,1998
370 | PNR,Pentair,Industrials,Industrial Machinery & Supplies & Components,"Worsley, United Kingdom",2012-10-01,77360,1966
371 | PEP,PepsiCo,Consumer Staples,Soft Drinks & Non-alcoholic Beverages,"Purchase, New York",1957-03-04,77476,1898
372 | PFE,Pfizer,Health Care,Pharmaceuticals,"New York City, New York",1957-03-04,78003,1849
373 | PCG,PG&E Corporation,Utilities,Multi-Utilities,"Oakland, California",2022-10-03,1004980,1905
374 | PM,Philip Morris International,Consumer Staples,Tobacco,"New York City, New York",2008-03-31,1413329,2008 (1847)
375 | PSX,Phillips 66,Energy,Oil & Gas Refining & Marketing,"Houston, Texas",2012-05-01,1534701,2012 (1917)
376 | PNW,Pinnacle West,Utilities,Multi-Utilities,"Phoenix, Arizona",1999-10-04,764622,1985
377 | PNC,PNC Financial Services,Financials,Diversified Banks,"Pittsburgh, Pennsylvania",1988-04-30,713676,1845
378 | POOL,Pool Corporation,Consumer Discretionary,Distributors,"Covington, Louisiana",2020-10-07,945841,1993
379 | PPG,PPG Industries,Materials,Specialty Chemicals,"Pittsburgh, Pennsylvania",1957-03-04,79879,1883
380 | PPL,PPL Corporation,Utilities,Electric Utilities,"Allentown, Pennsylvania",2001-10-01,922224,1920
381 | PFG,Principal Financial Group,Financials,Life & Health Insurance,"Des Moines, Iowa",2002-07-22,1126328,1879
382 | PG,Procter & Gamble,Consumer Staples,Personal Care Products,"Cincinnati, Ohio",1957-03-04,80424,1837
383 | PGR,Progressive Corporation,Financials,Property & Casualty Insurance,"Mayfield Village, Ohio",1997-08-04,80661,1937
384 | PLD,Prologis,Real Estate,Industrial REITs,"San Francisco, California",2003-07-17,1045609,1983
385 | PRU,Prudential Financial,Financials,Life & Health Insurance,"Newark, New Jersey",2002-07-22,1137774,1875
386 | PEG,Public Service Enterprise Group,Utilities,Electric Utilities,"Newark, New Jersey",1957-03-04,788784,1903
387 | PTC,PTC Inc.,Information Technology,Application Software,"Boston, Massachusetts",2021-04-20,857005,1985
388 | PSA,Public Storage,Real Estate,Self-Storage REITs,"Glendale, California",2005-08-19,1393311,1972
389 | PHM,PulteGroup,Consumer Discretionary,Homebuilding,"Atlanta, Georgia",1984-04-30,822416,1956
390 | PWR,Quanta Services,Industrials,Construction & Engineering,"Houston, Texas",2009-07-01,1050915,1997
391 | QCOM,Qualcomm,Information Technology,Semiconductors,"San Diego, California",1999-07-22,804328,1985
392 | DGX,Quest Diagnostics,Health Care,Health Care Services,"Secaucus, New Jersey",2002-12-12,1022079,1967
393 | RL,Ralph Lauren Corporation,Consumer Discretionary,"Apparel, Accessories & Luxury Goods","New York City, New York",2007-02-02,1037038,1967
394 | RJF,Raymond James Financial,Financials,Investment Banking & Brokerage,"St. Petersburg, Florida",2017-03-20,720005,1962
395 | RTX,RTX Corporation,Industrials,Aerospace & Defense,"Waltham, Massachusetts",1957-03-04,101829,1922
396 | O,Realty Income,Real Estate,Retail REITs,"San Diego, California",2015-04-07,726728,1969
397 | REG,Regency Centers,Real Estate,Retail REITs,"Jacksonville, Florida",2017-03-02,910606,1963
398 | REGN,Regeneron Pharmaceuticals,Health Care,Biotechnology,"Tarrytown, New York",2013-05-01,872589,1988
399 | RF,Regions Financial Corporation,Financials,Regional Banks,"Birmingham, Alabama",1998-08-28,1281761,1971
400 | RSG,Republic Services,Industrials,Environmental & Facilities Services,"Phoenix, Arizona",2008-12-05,1060391,1998 (1981)
401 | RMD,ResMed,Health Care,Health Care Equipment,"San Diego, California",2017-07-26,943819,1989
402 | RVTY,Revvity,Health Care,Health Care Equipment,"Waltham, Massachusetts",1985-05-31,31791,1937
403 | ROK,Rockwell Automation,Industrials,Electrical Components & Equipment,"Milwaukee, Wisconsin",2000-03-12,1024478,1903
404 | ROL,"Rollins, Inc.",Industrials,Environmental & Facilities Services,"Atlanta, Georgia",2018-10-01,84839,1948
405 | ROP,Roper Technologies,Information Technology,Electronic Equipment & Instruments,"Sarasota, Florida",2009-12-23,882835,1981
406 | ROST,Ross Stores,Consumer Discretionary,Apparel Retail,"Dublin, California",2009-12-21,745732,1982
407 | RCL,Royal Caribbean Group,Consumer Discretionary,"Hotels, Resorts & Cruise Lines","Miami, Florida",2014-12-05,884887,1997
408 | SPGI,S&P Global,Financials,Financial Exchanges & Data,"New York City, New York",1957-03-04,64040,1917
409 | CRM,Salesforce,Information Technology,Application Software,"San Francisco, California",2008-09-15,1108524,1999
410 | SBAC,SBA Communications,Real Estate,Telecom Tower REITs,"Boca Raton, Florida",2017-09-01,1034054,1989
411 | SLB,Schlumberger,Energy,Oil & Gas Equipment & Services,"Houston, Texas",1957-03-04,87347,1926
412 | STX,Seagate Technology,Information Technology,"Technology Hardware, Storage & Peripherals","Dublin, Ireland",2012-07-02,1137789,1979
413 | SRE,Sempra,Utilities,Multi-Utilities,"San Diego, California",2017-03-17,1032208,1998
414 | NOW,ServiceNow,Information Technology,Systems Software,"Santa Clara, California",2019-11-21,1373715,2003
415 | SHW,Sherwin-Williams,Materials,Specialty Chemicals,"Cleveland, Ohio",1964-06-30,89800,1866
416 | SPG,Simon Property Group,Real Estate,Retail REITs,"Indianapolis, Indiana",2002-06-26,1063761,2003
417 | SWKS,Skyworks Solutions,Information Technology,Semiconductors,"Irvine, California",2015-03-12,4127,2002
418 | SJM,J.M. Smucker Company (The),Consumer Staples,Packaged Foods & Meats,"Orrville, Ohio",2008-11-06,91419,1897
419 | SW,Smurfit WestRock,Materials,Paper & Plastic Packaging Products & Materials,"Dublin, Ireland",2024-07-08,2005951,1934
420 | SNA,Snap-on,Industrials,Industrial Machinery & Supplies & Components,"Kenosha, Wisconsin",1982-09-30,91440,1920
421 | SOLV,Solventum,Health Care,Health Care Technology,"Saint Paul, Minnesota",2024-04-01,1964738,2023
422 | SO,Southern Company,Utilities,Electric Utilities,"Atlanta, Georgia",1957-03-04,92122,1945
423 | LUV,Southwest Airlines,Industrials,Passenger Airlines,"Dallas, Texas",1994-07-01,92380,1967
424 | SWK,Stanley Black & Decker,Industrials,Industrial Machinery & Supplies & Components,"New Britain, Connecticut",1982-09-30,93556,1843
425 | SBUX,Starbucks,Consumer Discretionary,Restaurants,"Seattle, Washington",2000-06-07,829224,1971
426 | STT,State Street Corporation,Financials,Asset Management & Custody Banks,"Boston, Massachusetts",2003-03-14,93751,1792
427 | STLD,Steel Dynamics,Materials,Steel,"Fort Wayne, Indiana",2022-12-22,1022671,1993
428 | STE,Steris,Health Care,Health Care Equipment,"Dublin, Ireland",2019-12-23,1757898,1985
429 | SYK,Stryker Corporation,Health Care,Health Care Equipment,"Kalamazoo, Michigan",2000-12-12,310764,1941
430 | SMCI,Supermicro,Information Technology,"Technology Hardware, Storage & Peripherals","San Jose, California",2024-03-18,1375365,1993
431 | SYF,Synchrony Financial,Financials,Consumer Finance,"Stamford, Connecticut",2015-11-18,1601712,2003
432 | SNPS,Synopsys,Information Technology,Application Software,"Sunnyvale, California",2017-03-16,883241,1986
433 | SYY,Sysco,Consumer Staples,Food Distributors,"Houston, Texas",1986-12-31,96021,1969
434 | TMUS,T-Mobile US,Communication Services,Wireless Telecommunication Services,"Bellevue, Washington",2019-07-15,1283699,1994
435 | TROW,T. Rowe Price,Financials,Asset Management & Custody Banks,"Baltimore, Maryland",2019-07-29,1113169,1937
436 | TTWO,Take-Two Interactive,Communication Services,Interactive Home Entertainment,"New York City, New York",2018-03-19,946581,1993
437 | TPR,"Tapestry, Inc.",Consumer Discretionary,"Apparel, Accessories & Luxury Goods","New York City, New York",2004-09-01,1116132,2017
438 | TRGP,Targa Resources,Energy,Oil & Gas Storage & Transportation,"Houston, Texas",2022-10-12,1389170,2005
439 | TGT,Target Corporation,Consumer Staples,Consumer Staples Merchandise Retail,"Minneapolis, Minnesota",1976-12-31,27419,1902
440 | TEL,TE Connectivity,Information Technology,Electronic Manufacturing Services,"Galway, Ireland",2011-10-17,1385157,2007
441 | TDY,Teledyne Technologies,Information Technology,Electronic Equipment & Instruments,"Thousand Oaks, California",2020-06-22,1094285,1960
442 | TFX,Teleflex,Health Care,Health Care Equipment,"Wayne, Pennsylvania",2019-01-18,96943,1943
443 | TER,Teradyne,Information Technology,Semiconductor Materials & Equipment,"North Reading, Massachusetts",2020-09-21,97210,1960
444 | TSLA,"Tesla, Inc.",Consumer Discretionary,Automobile Manufacturers,"Austin, Texas",2020-12-21,1318605,2003
445 | TXN,Texas Instruments,Information Technology,Semiconductors,"Dallas, Texas",2001-03-12,97476,1930
446 | TPL,Texas Pacific Land Corporation,Energy,Oil & Gas Exploration & Production,"Dallas, Texas",2024-11-26,1811074,1888
447 | TXT,Textron,Industrials,Aerospace & Defense,"Providence, Rhode Island",1978-12-31,217346,1923
448 | TMO,Thermo Fisher Scientific,Health Care,Life Sciences Tools & Services,"Waltham, Massachusetts",2004-08-03,97745,2006 (1902)
449 | TJX,TJX Companies,Consumer Discretionary,Apparel Retail,"Framingham, Massachusetts",1985-09-30,109198,1987
450 | TSCO,Tractor Supply,Consumer Discretionary,Other Specialty Retail,"Brentwood, Tennessee",2014-01-24,916365,1938
451 | TT,Trane Technologies,Industrials,Building Products,"Dublin, Ireland",2010-11-17,1466258,1871
452 | TDG,TransDigm Group,Industrials,Aerospace & Defense,"Cleveland, Ohio",2016-06-03,1260221,1993
453 | TRV,Travelers Companies (The),Financials,Property & Casualty Insurance,"New York City, New York",2002-08-21,86312,1853
454 | TRMB,Trimble Inc.,Information Technology,Electronic Equipment & Instruments,"Westminster, Colorado",2021-01-21,864749,1978
455 | TFC,Truist Financial,Financials,Diversified Banks,"Charlotte, North Carolina",1997-12-04,92230,1872
456 | TYL,Tyler Technologies,Information Technology,Application Software,"Plano, Texas",2020-06-22,860731,1966
457 | TSN,Tyson Foods,Consumer Staples,Packaged Foods & Meats,"Springdale, Arkansas",2005-08-10,100493,1935
458 | USB,U.S. Bancorp,Financials,Diversified Banks,"Minneapolis, Minnesota",1999-11-01,36104,1968
459 | UBER,Uber,Industrials,Passenger Ground Transportation,"San Francisco, California",2023-12-18,1543151,2009
460 | UDR,"UDR, Inc.",Real Estate,Multi-Family Residential REITs,"Highlands Ranch, Colorado",2016-03-07,74208,1972
461 | ULTA,Ulta Beauty,Consumer Discretionary,Other Specialty Retail,"Bolingbrook, Illinois",2016-04-18,1403568,1990
462 | UNP,Union Pacific Corporation,Industrials,Rail Transportation,"Omaha, Nebraska",1957-03-04,100885,1862
463 | UAL,United Airlines Holdings,Industrials,Passenger Airlines,"Chicago, Illinois",2015-09-03,100517,1967
464 | UPS,United Parcel Service,Industrials,Air Freight & Logistics,"Sandy Springs, Georgia",2002-07-22,1090727,1907
465 | URI,United Rentals,Industrials,Trading Companies & Distributors,"Stamford, Connecticut",2014-09-20,1067701,1997
466 | UNH,UnitedHealth Group,Health Care,Managed Health Care,"Minnetonka, Minnesota",1994-07-01,731766,1977
467 | UHS,Universal Health Services,Health Care,Health Care Facilities,"King of Prussia, Pennsylvania",2014-09-20,352915,1979
468 | VLO,Valero Energy,Energy,Oil & Gas Refining & Marketing,"San Antonio, Texas",2002-12-20,1035002,1980
469 | VTR,Ventas,Real Estate,Health Care REITs,"Chicago, Illinois",2009-03-04,740260,1998
470 | VLTO,Veralto,Industrials,Environmental & Facilities Services,"Waltham, Massachusetts",2023-10-02,1967680,2023
471 | VRSN,Verisign,Information Technology,Internet Services & Infrastructure,"Dulles, Virginia",2006-02-01,1014473,1995
472 | VRSK,Verisk Analytics,Industrials,Research & Consulting Services,"Jersey City, New Jersey",2015-10-08,1442145,1971
473 | VZ,Verizon,Communication Services,Integrated Telecommunication Services,"New York City, New York",1983-11-30,732712,1983 (1877)
474 | VRTX,Vertex Pharmaceuticals,Health Care,Biotechnology,"Boston, Massachusetts",2013-09-23,875320,1989
475 | VTRS,Viatris,Health Care,Pharmaceuticals,"Pittsburgh, Pennsylvania",2004-04-23,1792044,1961
476 | VICI,Vici Properties,Real Estate,Hotel & Resort REITs,"New York City, New York",2022-06-08,1705696,2017
477 | V,Visa Inc.,Financials,Transaction & Payment Processing Services,"San Francisco, California",2009-12-21,1403161,1958
478 | VST,Vistra Corp.,Utilities,Electric Utilities,"Irving, Texas",2024-05-08,1692819,2016
479 | VMC,Vulcan Materials Company,Materials,Construction Materials,"Birmingham, Alabama",1999-06-30,1396009,1909
480 | WRB,W. R. Berkley Corporation,Financials,Property & Casualty Insurance,"Greenwich, Connecticut",2019-12-05,11544,1967
481 | GWW,W. W. Grainger,Industrials,Industrial Machinery & Supplies & Components,"Lake Forest, Illinois",1981-06-30,277135,1927
482 | WAB,Wabtec,Industrials,Construction Machinery & Heavy Transportation Equipment,"Pittsburgh, Pennsylvania",2019-02-27,943452,1999 (1869)
483 | WBA,Walgreens Boots Alliance,Consumer Staples,Drug Retail,"Deerfield, Illinois",1979-12-31,1618921,2014
484 | WMT,Walmart,Consumer Staples,Consumer Staples Merchandise Retail,"Bentonville, Arkansas",1982-08-31,104169,1962
485 | DIS,Walt Disney Company (The),Communication Services,Movies & Entertainment,"Burbank, California",1976-06-30,1744489,1923
486 | WBD,Warner Bros. Discovery,Communication Services,Broadcasting,"New York City, New York",2022-04-11,1437107,2022 (Warner Bros. 1923)
487 | WM,Waste Management,Industrials,Environmental & Facilities Services,"Houston, Texas",1998-08-31,823768,1968
488 | WAT,Waters Corporation,Health Care,Life Sciences Tools & Services,"Milford, Massachusetts",2002-01-02,1000697,1958
489 | WEC,WEC Energy Group,Utilities,Electric Utilities,"Milwaukee, Wisconsin",2008-10-31,783325,1896
490 | WFC,Wells Fargo,Financials,Diversified Banks,"San Francisco, California",1976-06-30,72971,1852
491 | WELL,Welltower,Real Estate,Health Care REITs,"Toledo, Ohio",2009-01-30,766704,1970
492 | WST,West Pharmaceutical Services,Health Care,Health Care Supplies,"Exton, Pennsylvania",2020-05-22,105770,1923
493 | WDC,Western Digital,Information Technology,"Technology Hardware, Storage & Peripherals","San Jose, California",2009-07-01,106040,1970
494 | WY,Weyerhaeuser,Real Estate,Timber REITs,"Seattle, Washington",1979-10-01,106535,1900
495 | WMB,Williams Companies,Energy,Oil & Gas Storage & Transportation,"Tulsa, Oklahoma",1975-03-31,107263,1908
496 | WTW,Willis Towers Watson,Financials,Insurance Brokers,"London, United Kingdom",2016-01-05,1140536,2016
497 | WDAY,"Workday, Inc.",Information Technology,Application Software,"Pleasanton, California",2024-12-23,1327811,2005
498 | WYNN,Wynn Resorts,Consumer Discretionary,Casinos & Gaming,"Paradise, Nevada",2008-11-14,1174922,2002
499 | XEL,Xcel Energy,Utilities,Multi-Utilities,"Minneapolis, Minnesota",1957-03-04,72903,1909
500 | XYL,Xylem Inc.,Industrials,Industrial Machinery & Supplies & Components,"White Plains, New York",2011-11-01,1524472,2011
501 | YUM,Yum! Brands,Consumer Discretionary,Restaurants,"Louisville, Kentucky",1997-10-06,1041061,1997
502 | ZBRA,Zebra Technologies,Information Technology,Electronic Equipment & Instruments,"Lincolnshire, Illinois",2019-12-23,877212,1969
503 | ZBH,Zimmer Biomet,Health Care,Health Care Equipment,"Warsaw, Indiana",2001-08-07,1136869,1927
504 | ZTS,Zoetis,Health Care,Pharmaceuticals,"Parsippany, New Jersey",2013-06-21,1555280,1952
505 | 


--------------------------------------------------------------------------------
/sp500_by_date.ipynb:
--------------------------------------------------------------------------------
  1 | {
  2 |  "cells": [
  3 |   {
  4 |    "cell_type": "markdown",
  5 |    "metadata": {
  6 |     "ExecuteTime": {
  7 |      "end_time": "2019-11-16T14:29:50.731803Z",
  8 |      "start_time": "2019-11-16T14:29:50.715887Z"
  9 |     }
 10 |    },
 11 |    "source": [
 12 |     "# S&P 500 by date\n",
 13 |     "\n",
 14 |     "Get snapshot of S&P 500 components at a given date"
 15 |    ]
 16 |   },
 17 |   {
 18 |    "cell_type": "code",
 19 |    "execution_count": 11,
 20 |    "metadata": {
 21 |     "ExecuteTime": {
 22 |      "end_time": "2020-04-21T03:40:06.441094Z",
 23 |      "start_time": "2020-04-21T03:40:05.446579Z"
 24 |     }
 25 |    },
 26 |    "outputs": [],
 27 |    "source": [
 28 |     "from datetime import datetime\n",
 29 |     "import os\n",
 30 |     "import shutil\n",
 31 |     "import pandas as pd\n",
 32 |     "\n",
 33 |     "pd.options.mode.chained_assignment = None  # default='warn'\n",
 34 |     "pd.set_option('display.max_rows', 600)\n",
 35 |     "\n",
 36 |     "# -*- encoding: utf-8 -*-\n",
 37 |     "%matplotlib inline"
 38 |    ]
 39 |   },
 40 |   {
 41 |    "cell_type": "code",
 42 |    "execution_count": 12,
 43 |    "metadata": {
 44 |     "ExecuteTime": {
 45 |      "end_time": "2020-04-21T03:40:06.475172Z",
 46 |      "start_time": "2020-04-21T03:40:06.452014Z"
 47 |     }
 48 |    },
 49 |    "outputs": [
 50 |     {
 51 |      "data": {
 52 |       "application/javascript": [
 53 |        "IPython.OutputArea.prototype._should_scroll = function(lines) {\n",
 54 |        "    return false;\n",
 55 |        "}\n"
 56 |       ],
 57 |       "text/plain": [
 58 |        "<IPython.core.display.Javascript object>"
 59 |       ]
 60 |      },
 61 |      "metadata": {},
 62 |      "output_type": "display_data"
 63 |     }
 64 |    ],
 65 |    "source": [
 66 |     "%%javascript\n",
 67 |     "IPython.OutputArea.prototype._should_scroll = function(lines) {\n",
 68 |     "    return false;\n",
 69 |     "}"
 70 |    ]
 71 |   },
 72 |   {
 73 |    "cell_type": "code",
 74 |    "execution_count": 13,
 75 |    "metadata": {
 76 |     "ExecuteTime": {
 77 |      "end_time": "2020-04-21T03:40:06.495067Z",
 78 |      "start_time": "2020-04-21T03:40:06.483757Z"
 79 |     }
 80 |    },
 81 |    "outputs": [],
 82 |    "source": [
 83 |     "# Date to use for snapshot of S&P 500 components.\n",
 84 |     "snap_shot = '2020-10-23'"
 85 |    ]
 86 |   },
 87 |   {
 88 |    "cell_type": "code",
 89 |    "execution_count": 14,
 90 |    "metadata": {
 91 |     "ExecuteTime": {
 92 |      "end_time": "2020-04-21T03:40:06.513572Z",
 93 |      "start_time": "2020-04-21T03:40:06.498055Z"
 94 |     }
 95 |    },
 96 |    "outputs": [],
 97 |    "source": [
 98 |     "def get_table(filename):\n",
 99 |     "\n",
100 |     "    if os.path.isfile(filename):\n",
101 |     "        df = pd.read_csv(filename, index_col='date')\n",
102 |     "        return df"
103 |    ]
104 |   },
105 |   {
106 |    "cell_type": "code",
107 |    "execution_count": 15,
108 |    "metadata": {
109 |     "ExecuteTime": {
110 |      "end_time": "2020-04-21T03:40:06.749548Z",
111 |      "start_time": "2020-04-21T03:40:06.521295Z"
112 |     },
113 |     "scrolled": true
114 |    },
115 |    "outputs": [
116 |     {
117 |      "data": {
118 |       "text/html": [
119 |        "<div>\n",
120 |        "<style scoped>\n",
121 |        "    .dataframe tbody tr th:only-of-type {\n",
122 |        "        vertical-align: middle;\n",
123 |        "    }\n",
124 |        "\n",
125 |        "    .dataframe tbody tr th {\n",
126 |        "        vertical-align: top;\n",
127 |        "    }\n",
128 |        "\n",
129 |        "    .dataframe thead th {\n",
130 |        "        text-align: right;\n",
131 |        "    }\n",
132 |        "</style>\n",
133 |        "<table border=\"1\" class=\"dataframe\">\n",
134 |        "  <thead>\n",
135 |        "    <tr style=\"text-align: right;\">\n",
136 |        "      <th></th>\n",
137 |        "      <th>tickers</th>\n",
138 |        "    </tr>\n",
139 |        "    <tr>\n",
140 |        "      <th>date</th>\n",
141 |        "      <th></th>\n",
142 |        "    </tr>\n",
143 |        "  </thead>\n",
144 |        "  <tbody>\n",
145 |        "    <tr>\n",
146 |        "      <th>2024-09-23</th>\n",
147 |        "      <td>A,AAPL,ABBV,ABNB,ABT,ACGL,ACN,ADBE,ADI,ADM,ADP...</td>\n",
148 |        "    </tr>\n",
149 |        "    <tr>\n",
150 |        "      <th>2024-09-30</th>\n",
151 |        "      <td>A,AAPL,ABBV,ABNB,ABT,ACGL,ACN,ADBE,ADI,ADM,ADP...</td>\n",
152 |        "    </tr>\n",
153 |        "    <tr>\n",
154 |        "      <th>2024-10-01</th>\n",
155 |        "      <td>A,AAPL,ABBV,ABNB,ABT,ACGL,ACN,ADBE,ADI,ADM,ADP...</td>\n",
156 |        "    </tr>\n",
157 |        "    <tr>\n",
158 |        "      <th>2024-11-26</th>\n",
159 |        "      <td>A,AAPL,ABBV,ABNB,ABT,ACGL,ACN,ADBE,ADI,ADM,ADP...</td>\n",
160 |        "    </tr>\n",
161 |        "    <tr>\n",
162 |        "      <th>2024-12-23</th>\n",
163 |        "      <td>A,AAPL,ABBV,ABNB,ABT,ACGL,ACN,ADBE,ADI,ADM,ADP...</td>\n",
164 |        "    </tr>\n",
165 |        "  </tbody>\n",
166 |        "</table>\n",
167 |        "</div>"
168 |       ],
169 |       "text/plain": [
170 |        "                                                      tickers\n",
171 |        "date                                                         \n",
172 |        "2024-09-23  A,AAPL,ABBV,ABNB,ABT,ACGL,ACN,ADBE,ADI,ADM,ADP...\n",
173 |        "2024-09-30  A,AAPL,ABBV,ABNB,ABT,ACGL,ACN,ADBE,ADI,ADM,ADP...\n",
174 |        "2024-10-01  A,AAPL,ABBV,ABNB,ABT,ACGL,ACN,ADBE,ADI,ADM,ADP...\n",
175 |        "2024-11-26  A,AAPL,ABBV,ABNB,ABT,ACGL,ACN,ADBE,ADI,ADM,ADP...\n",
176 |        "2024-12-23  A,AAPL,ABBV,ABNB,ABT,ACGL,ACN,ADBE,ADI,ADM,ADP..."
177 |       ]
178 |      },
179 |      "execution_count": 15,
180 |      "metadata": {},
181 |      "output_type": "execute_result"
182 |     }
183 |    ],
184 |    "source": [
185 |     "filename = 'S&P 500 Historical Components & Changes(03-10-2025).csv'\n",
186 |     "df = get_table(filename)\n",
187 |     "df.tail()"
188 |    ]
189 |   },
190 |   {
191 |    "cell_type": "code",
192 |    "execution_count": 16,
193 |    "metadata": {
194 |     "ExecuteTime": {
195 |      "end_time": "2020-04-21T03:40:07.098171Z",
196 |      "start_time": "2020-04-21T03:40:06.759974Z"
197 |     }
198 |    },
199 |    "outputs": [
200 |     {
201 |      "data": {
202 |       "text/html": [
203 |        "<div>\n",
204 |        "<style scoped>\n",
205 |        "    .dataframe tbody tr th:only-of-type {\n",
206 |        "        vertical-align: middle;\n",
207 |        "    }\n",
208 |        "\n",
209 |        "    .dataframe tbody tr th {\n",
210 |        "        vertical-align: top;\n",
211 |        "    }\n",
212 |        "\n",
213 |        "    .dataframe thead th {\n",
214 |        "        text-align: right;\n",
215 |        "    }\n",
216 |        "</style>\n",
217 |        "<table border=\"1\" class=\"dataframe\">\n",
218 |        "  <thead>\n",
219 |        "    <tr style=\"text-align: right;\">\n",
220 |        "      <th></th>\n",
221 |        "      <th>tickers</th>\n",
222 |        "    </tr>\n",
223 |        "    <tr>\n",
224 |        "      <th>date</th>\n",
225 |        "      <th></th>\n",
226 |        "    </tr>\n",
227 |        "  </thead>\n",
228 |        "  <tbody>\n",
229 |        "    <tr>\n",
230 |        "      <th>2024-09-23</th>\n",
231 |        "      <td>[A, AAPL, ABBV, ABNB, ABT, ACGL, ACN, ADBE, AD...</td>\n",
232 |        "    </tr>\n",
233 |        "    <tr>\n",
234 |        "      <th>2024-09-30</th>\n",
235 |        "      <td>[A, AAPL, ABBV, ABNB, ABT, ACGL, ACN, ADBE, AD...</td>\n",
236 |        "    </tr>\n",
237 |        "    <tr>\n",
238 |        "      <th>2024-10-01</th>\n",
239 |        "      <td>[A, AAPL, ABBV, ABNB, ABT, ACGL, ACN, ADBE, AD...</td>\n",
240 |        "    </tr>\n",
241 |        "    <tr>\n",
242 |        "      <th>2024-11-26</th>\n",
243 |        "      <td>[A, AAPL, ABBV, ABNB, ABT, ACGL, ACN, ADBE, AD...</td>\n",
244 |        "    </tr>\n",
245 |        "    <tr>\n",
246 |        "      <th>2024-12-23</th>\n",
247 |        "      <td>[A, AAPL, ABBV, ABNB, ABT, ACGL, ACN, ADBE, AD...</td>\n",
248 |        "    </tr>\n",
249 |        "  </tbody>\n",
250 |        "</table>\n",
251 |        "</div>"
252 |       ],
253 |       "text/plain": [
254 |        "                                                      tickers\n",
255 |        "date                                                         \n",
256 |        "2024-09-23  [A, AAPL, ABBV, ABNB, ABT, ACGL, ACN, ADBE, AD...\n",
257 |        "2024-09-30  [A, AAPL, ABBV, ABNB, ABT, ACGL, ACN, ADBE, AD...\n",
258 |        "2024-10-01  [A, AAPL, ABBV, ABNB, ABT, ACGL, ACN, ADBE, AD...\n",
259 |        "2024-11-26  [A, AAPL, ABBV, ABNB, ABT, ACGL, ACN, ADBE, AD...\n",
260 |        "2024-12-23  [A, AAPL, ABBV, ABNB, ABT, ACGL, ACN, ADBE, AD..."
261 |       ]
262 |      },
263 |      "execution_count": 16,
264 |      "metadata": {},
265 |      "output_type": "execute_result"
266 |     }
267 |    ],
268 |    "source": [
269 |     "# Convert ticker column from csv to list, then sort.\n",
270 |     "df['tickers'] = df['tickers'].apply(lambda x: sorted(x.split(',')))\n",
271 |     "df.tail()"
272 |    ]
273 |   },
274 |   {
275 |    "cell_type": "code",
276 |    "execution_count": 17,
277 |    "metadata": {},
278 |    "outputs": [
279 |     {
280 |      "data": {
281 |       "text/plain": [
282 |        "487"
283 |       ]
284 |      },
285 |      "execution_count": 17,
286 |      "metadata": {},
287 |      "output_type": "execute_result"
288 |     }
289 |    ],
290 |    "source": [
291 |     "# Number of symbols in the first row.\n",
292 |     "l = list(df['tickers'].head(1))[0]\n",
293 |     "len(l)"
294 |    ]
295 |   },
296 |   {
297 |    "cell_type": "code",
298 |    "execution_count": 18,
299 |    "metadata": {
300 |     "ExecuteTime": {
301 |      "end_time": "2020-04-21T03:40:07.144606Z",
302 |      "start_time": "2020-04-21T03:40:07.110209Z"
303 |     }
304 |    },
305 |    "outputs": [
306 |     {
307 |      "data": {
308 |       "text/html": [
309 |        "<div>\n",
310 |        "<style scoped>\n",
311 |        "    .dataframe tbody tr th:only-of-type {\n",
312 |        "        vertical-align: middle;\n",
313 |        "    }\n",
314 |        "\n",
315 |        "    .dataframe tbody tr th {\n",
316 |        "        vertical-align: top;\n",
317 |        "    }\n",
318 |        "\n",
319 |        "    .dataframe thead th {\n",
320 |        "        text-align: right;\n",
321 |        "    }\n",
322 |        "</style>\n",
323 |        "<table border=\"1\" class=\"dataframe\">\n",
324 |        "  <thead>\n",
325 |        "    <tr style=\"text-align: right;\">\n",
326 |        "      <th></th>\n",
327 |        "      <th>tickers</th>\n",
328 |        "    </tr>\n",
329 |        "    <tr>\n",
330 |        "      <th>date</th>\n",
331 |        "      <th></th>\n",
332 |        "    </tr>\n",
333 |        "  </thead>\n",
334 |        "  <tbody>\n",
335 |        "    <tr>\n",
336 |        "      <th>2020-10-12</th>\n",
337 |        "      <td>[A, AAL, AAP, AAPL, ABBV, ABC, ABMD, ABT, ACN,...</td>\n",
338 |        "    </tr>\n",
339 |        "  </tbody>\n",
340 |        "</table>\n",
341 |        "</div>"
342 |       ],
343 |       "text/plain": [
344 |        "                                                      tickers\n",
345 |        "date                                                         \n",
346 |        "2020-10-12  [A, AAL, AAP, AAPL, ABBV, ABC, ABMD, ABT, ACN,..."
347 |       ]
348 |      },
349 |      "execution_count": 18,
350 |      "metadata": {},
351 |      "output_type": "execute_result"
352 |     }
353 |    ],
354 |    "source": [
355 |     "# Get the synbols on snap_shot date by filtering df by rows before or on the snap_shot date,\n",
356 |     "# then picking the last row.\n",
357 |     "df2 = df[df.index <= snap_shot]\n",
358 |     "last_row = df2.tail(1)\n",
359 |     "last_row"
360 |    ]
361 |   },
362 |   {
363 |    "cell_type": "code",
364 |    "execution_count": 19,
365 |    "metadata": {
366 |     "ExecuteTime": {
367 |      "end_time": "2020-04-21T03:40:07.172402Z",
368 |      "start_time": "2020-04-21T03:40:07.151600Z"
369 |     }
370 |    },
371 |    "outputs": [
372 |     {
373 |      "name": "stdout",
374 |      "output_type": "stream",
375 |      "text": [
376 |       "**************************************** S&P 500 on 2020-10-23 ****************************************\n",
377 |       "['A', 'AAL', 'AAP', 'AAPL', 'ABBV', 'ABC', 'ABMD', 'ABT', 'ACN', 'ADBE', 'ADI', 'ADM', 'ADP', 'ADSK', 'AEE', 'AEP', 'AES', 'AFL', 'AIG', 'AIV', 'AIZ', 'AJG', 'AKAM', 'ALB', 'ALGN', 'ALK', 'ALL', 'ALLE', 'ALXN', 'AMAT', 'AMCR', 'AMD', 'AME', 'AMGN', 'AMP', 'AMT', 'AMZN', 'ANET', 'ANSS', 'ANTM', 'AON', 'AOS', 'APA', 'APD', 'APH', 'APTV', 'ARE', 'ATO', 'ATVI', 'AVB', 'AVGO', 'AVY', 'AWK', 'AXP', 'AZO', 'BA', 'BAC', 'BAX', 'BBY', 'BDX', 'BEN', 'BF.B', 'BIIB', 'BIO', 'BK', 'BKNG', 'BKR', 'BLK', 'BLL', 'BMY', 'BR', 'BRK.B', 'BSX', 'BWA', 'BXP', 'C', 'CAG', 'CAH', 'CARR', 'CAT', 'CB', 'CBOE', 'CBRE', 'CCI', 'CCL', 'CDNS', 'CDW', 'CE', 'CERN', 'CF', 'CFG', 'CHD', 'CHRW', 'CHTR', 'CI', 'CINF', 'CL', 'CLX', 'CMA', 'CMCSA', 'CME', 'CMG', 'CMI', 'CMS', 'CNC', 'CNP', 'COF', 'COG', 'COO', 'COP', 'COST', 'CPB', 'CPRT', 'CRM', 'CSCO', 'CSX', 'CTAS', 'CTLT', 'CTSH', 'CTVA', 'CTXS', 'CVS', 'CVX', 'CXO', 'D', 'DAL', 'DD', 'DE', 'DFS', 'DG', 'DGX', 'DHI', 'DHR', 'DIS', 'DISCA', 'DISCK', 'DISH', 'DLR', 'DLTR', 'DOV', 'DOW', 'DPZ', 'DRE', 'DRI', 'DTE', 'DUK', 'DVA', 'DVN', 'DXC', 'DXCM', 'EA', 'EBAY', 'ECL', 'ED', 'EFX', 'EIX', 'EL', 'EMN', 'EMR', 'EOG', 'EQIX', 'EQR', 'ES', 'ESS', 'ETN', 'ETR', 'ETSY', 'EVRG', 'EW', 'EXC', 'EXPD', 'EXPE', 'EXR', 'F', 'FANG', 'FAST', 'FB', 'FBHS', 'FCX', 'FDX', 'FE', 'FFIV', 'FIS', 'FISV', 'FITB', 'FLIR', 'FLS', 'FLT', 'FMC', 'FOX', 'FOXA', 'FRC', 'FRT', 'FTI', 'FTNT', 'FTV', 'GD', 'GE', 'GILD', 'GIS', 'GL', 'GLW', 'GM', 'GOOG', 'GOOGL', 'GPC', 'GPN', 'GPS', 'GRMN', 'GS', 'GWW', 'HAL', 'HAS', 'HBAN', 'HBI', 'HCA', 'HD', 'HES', 'HFC', 'HIG', 'HII', 'HLT', 'HOLX', 'HON', 'HPE', 'HPQ', 'HRL', 'HSIC', 'HST', 'HSY', 'HUM', 'HWM', 'IBM', 'ICE', 'IDXX', 'IEX', 'IFF', 'ILMN', 'INCY', 'INFO', 'INTC', 'INTU', 'IP', 'IPG', 'IPGP', 'IQV', 'IR', 'IRM', 'ISRG', 'IT', 'ITW', 'IVZ', 'J', 'JBHT', 'JCI', 'JKHY', 'JNJ', 'JNPR', 'JPM', 'K', 'KEY', 'KEYS', 'KHC', 'KIM', 'KLAC', 'KMB', 'KMI', 'KMX', 'KO', 'KR', 'KSU', 'L', 'LB', 'LDOS', 'LEG', 'LEN', 'LH', 'LHX', 'LIN', 'LKQ', 'LLY', 'LMT', 'LNC', 'LNT', 'LOW', 'LRCX', 'LUMN', 'LUV', 'LVS', 'LW', 'LYB', 'LYV', 'MA', 'MAA', 'MAR', 'MAS', 'MCD', 'MCHP', 'MCK', 'MCO', 'MDLZ', 'MDT', 'MET', 'MGM', 'MHK', 'MKC', 'MKTX', 'MLM', 'MMC', 'MMM', 'MNST', 'MO', 'MOS', 'MPC', 'MRK', 'MRO', 'MS', 'MSCI', 'MSFT', 'MSI', 'MTB', 'MTD', 'MU', 'MXIM', 'MYL', 'NCLH', 'NDAQ', 'NEE', 'NEM', 'NFLX', 'NI', 'NKE', 'NLOK', 'NLSN', 'NOC', 'NOV', 'NOW', 'NRG', 'NSC', 'NTAP', 'NTRS', 'NUE', 'NVDA', 'NVR', 'NWL', 'NWS', 'NWSA', 'O', 'ODFL', 'OKE', 'OMC', 'ORCL', 'ORLY', 'OTIS', 'OXY', 'PAYC', 'PAYX', 'PBCT', 'PCAR', 'PEAK', 'PEG', 'PEP', 'PFE', 'PFG', 'PG', 'PGR', 'PH', 'PHM', 'PKG', 'PKI', 'PLD', 'PM', 'PNC', 'PNR', 'PNW', 'POOL', 'PPG', 'PPL', 'PRGO', 'PRU', 'PSA', 'PSX', 'PVH', 'PWR', 'PXD', 'PYPL', 'QCOM', 'QRVO', 'RCL', 'RE', 'REG', 'REGN', 'RF', 'RHI', 'RJF', 'RL', 'RMD', 'ROK', 'ROL', 'ROP', 'ROST', 'RSG', 'RTX', 'SBAC', 'SBUX', 'SCHW', 'SEE', 'SHW', 'SIVB', 'SJM', 'SLB', 'SLG', 'SNA', 'SNPS', 'SO', 'SPG', 'SPGI', 'SRE', 'STE', 'STT', 'STX', 'STZ', 'SWK', 'SWKS', 'SYF', 'SYK', 'SYY', 'T', 'TAP', 'TDG', 'TDY', 'TEL', 'TER', 'TFC', 'TFX', 'TGT', 'TIF', 'TJX', 'TMO', 'TMUS', 'TPR', 'TROW', 'TRV', 'TSCO', 'TSN', 'TT', 'TTWO', 'TWTR', 'TXN', 'TXT', 'TYL', 'UA', 'UAA', 'UAL', 'UDR', 'UHS', 'ULTA', 'UNH', 'UNM', 'UNP', 'UPS', 'URI', 'USB', 'V', 'VAR', 'VFC', 'VIAC', 'VLO', 'VMC', 'VNO', 'VNT', 'VRSK', 'VRSN', 'VRTX', 'VTR', 'VZ', 'WAB', 'WAT', 'WBA', 'WDC', 'WEC', 'WELL', 'WFC', 'WHR', 'WLTW', 'WM', 'WMB', 'WMT', 'WRB', 'WRK', 'WST', 'WU', 'WY', 'WYNN', 'XEL', 'XLNX', 'XOM', 'XRAY', 'XRX', 'XYL', 'YUM', 'ZBH', 'ZBRA', 'ZION', 'ZTS']\n"
378 |      ]
379 |     }
380 |    ],
381 |    "source": [
382 |     "past = last_row['tickers'].iloc[0]\n",
383 |     "print('*'*40, f'S&P 500 on {snap_shot}', '*'*40)\n",
384 |     "print(past)"
385 |    ]
386 |   },
387 |   {
388 |    "cell_type": "code",
389 |    "execution_count": 20,
390 |    "metadata": {
391 |     "ExecuteTime": {
392 |      "end_time": "2020-04-21T03:40:07.209243Z",
393 |      "start_time": "2020-04-21T03:40:07.181234Z"
394 |     }
395 |    },
396 |    "outputs": [],
397 |    "source": [
398 |     "# Get current S&P500 list.\n",
399 |     "filename = 'sp500.csv'\n",
400 |     "current = pd.read_csv(filename)\n",
401 |     "current = sorted(list(current['Symbol']))\n",
402 |     "#print(current)"
403 |    ]
404 |   },
405 |   {
406 |    "cell_type": "code",
407 |    "execution_count": 21,
408 |    "metadata": {
409 |     "ExecuteTime": {
410 |      "end_time": "2020-04-21T03:40:07.242625Z",
411 |      "start_time": "2020-04-21T03:40:07.217534Z"
412 |     }
413 |    },
414 |    "outputs": [
415 |     {
416 |      "name": "stdout",
417 |      "output_type": "stream",
418 |      "text": [
419 |       "**************************************** ADDED since 2020-10-23 ****************************************\n",
420 |       "['MOH', 'CSGP', 'SW', 'CZR', 'PCG', 'PODD', 'WDAY', 'DOC', 'EQT', 'EG', 'PANW', 'APO', 'UBER', 'FI', 'DELL', 'WBD', 'VTRS', 'KDP', 'ERIE', 'LII', 'TSLA', 'GDDY', 'CPAY', 'KKR', 'ABNB', 'VLTO', 'ON', 'ELV', 'VICI', 'BRO', 'ACGL', 'CPT', 'WTW', 'TRMB', 'NDSN', 'BX', 'CTRA', 'LULU', 'BALL', 'INVH', 'AXON', 'BLDR', 'TPL', 'FSLR', 'DECK', 'GEN', 'MPWR', 'CRL', 'META', 'STLD', 'SOLV', 'PARA', 'SMCI', 'PTC', 'GNRC', 'EPAM', 'CEG', 'KVUE', 'ENPH', 'CRWD', 'COR', 'BG', 'RVTY', 'GEHC', 'FDS', 'TECH', 'MTCH', 'PLTR', 'MRNA', 'HUBB', 'FICO', 'DAY', 'JBL', 'TRGP', 'NXPI', 'VST', 'GEV']\n",
421 |       "\n",
422 |       "**************************************** REMOVED since 2020-10-23 ****************************************\n",
423 |       "['WLTW', 'IPGP', 'WRK', 'TIF', 'FB', 'DRE', 'LUMN', 'UAA', 'FLT', 'WU', 'FLS', 'PVH', 'BIO', 'RE', 'AIV', 'PBCT', 'QRVO', 'KSU', 'XRX', 'INFO', 'CERN', 'FISV', 'XLNX', 'VFC', 'VIAC', 'COG', 'FBHS', 'MXIM', 'SIVB', 'DISH', 'NLSN', 'VNO', 'ABC', 'RHI', 'DISCA', 'NOV', 'PXD', 'VAR', 'PRGO', 'LEG', 'ETSY', 'PKI', 'XRAY', 'GPS', 'LB', 'NLOK', 'HFC', 'FLIR', 'ATVI', 'NWL', 'SEE', 'FRC', 'CMA', 'ILMN', 'CTXS', 'ALK', 'UA', 'TWTR', 'SLG', 'HBI', 'MYL', 'AAP', 'WHR', 'MRO', 'UNM', 'LNC', 'VNT', 'ABMD', 'ALXN', 'PEAK', 'AAL', 'DISCK', 'FTI', 'CTLT', 'CXO', 'ZION', 'DXC', 'ANTM', 'BLL']\n"
424 |      ]
425 |     }
426 |    ],
427 |    "source": [
428 |     "# Show what's been added and removed since snap_shot date.\n",
429 |     "\n",
430 |     "added = list(set(current) - set(past))\n",
431 |     "print('*'*40, f'ADDED since {snap_shot}', '*'*40)\n",
432 |     "print(added)\n",
433 |     "print()\n",
434 |     "\n",
435 |     "removed = list(set(past) - set(current))\n",
436 |     "print('*'*40, f'REMOVED since {snap_shot}', '*'*40)\n",
437 |     "print(removed)"
438 |    ]
439 |   },
440 |   {
441 |    "cell_type": "code",
442 |    "execution_count": null,
443 |    "metadata": {},
444 |    "outputs": [],
445 |    "source": []
446 |   }
447 |  ],
448 |  "metadata": {
449 |   "kernelspec": {
450 |    "display_name": "Python 3 (ipykernel)",
451 |    "language": "python",
452 |    "name": "python3"
453 |   },
454 |   "language_info": {
455 |    "codemirror_mode": {
456 |     "name": "ipython",
457 |     "version": 3
458 |    },
459 |    "file_extension": ".py",
460 |    "mimetype": "text/x-python",
461 |    "name": "python",
462 |    "nbconvert_exporter": "python",
463 |    "pygments_lexer": "ipython3",
464 |    "version": "3.10.12"
465 |   },
466 |   "latex_envs": {
467 |    "LaTeX_envs_menu_present": true,
468 |    "autoclose": false,
469 |    "autocomplete": true,
470 |    "bibliofile": "biblio.bib",
471 |    "cite_by": "apalike",
472 |    "current_citInitial": 1,
473 |    "eqLabelWithNumbers": true,
474 |    "eqNumInitial": 1,
475 |    "hotkeys": {
476 |     "equation": "Ctrl-E",
477 |     "itemize": "Ctrl-I"
478 |    },
479 |    "labels_anchors": false,
480 |    "latex_user_defs": false,
481 |    "report_style_numbering": false,
482 |    "user_envs_cfg": false
483 |   }
484 |  },
485 |  "nbformat": 4,
486 |  "nbformat_minor": 4
487 | }
488 | 


--------------------------------------------------------------------------------
/sp500_changes_since_2019.csv:
--------------------------------------------------------------------------------
 1 | date,add,remove
 2 | 2019-01-18,"TFX","PCG"
 3 | 2019-02-15,"ATO","NFX"
 4 | 2019-02-27,"WAB","GT"
 5 | 2019-04-02,"DOW","BHF"
 6 | 2019-06-01,"LHX","HRS"
 7 | 2019-06-03,"CTVA,DD","FLR,DWDP"
 8 | 2019-06-07,"AMCR","MAT"
 9 | 2019-07-01,"MKTX","LLL"
10 | 2019-07-15,"TMUS","RHT"
11 | 2019-08-08,"GL","TMK"
12 | 2019-08-09,"IEX,LDOS","FL,APC"
13 | 2019-09-23,"CDW","TSS"
14 | 2019-09-26,"NVR","JEF"
15 | 2019-10-03,"LVS","NKTR"
16 | 2019-10-18,"BKR","BHGE"
17 | 2019-11-05,"PEAK,NLOK","HCP,SYMC"
18 | 2019-11-21,"NOW","CELG"
19 | 2019-12-05,"WRB,VIAC","VIAB,CBS"
20 | 2019-12-09,"ODFL,TFC","STI,BBT"
21 | 2019-12-10,"J","JEC"
22 | 2019-12-23,"STE,ZBRA,LYV","MAC,TRIP,AMG"
23 | 2020-01-28,"PAYC","WCG"
24 | 2020-03-03,"TT","XEC"
25 | 2020-04-03,"RTX,OTIS,CARR","UTX"
26 | 2020-04-06,"HWM","ARNC,RTN,M"
27 | 2020-05-12,"DXCM,DPZ","AGN,CPRI"
28 | 2020-05-22,"WST","HP"
29 | 2020-06-22,"TYL,TDY,BIO","JWN,HOG,ADS"
30 | 2020-09-18,"LUMN","CTL"
31 | 2020-09-21,"CTLT,TER,ETSY","COTY,KSS,HRB"
32 | 2020-10-07,"POOL","ETFC"
33 | 2020-10-12,"VNT","NBL"
34 | 2020-11-17,"VTRS","MYL"
35 | 2020-12-21,"TSLA","AIV"
36 | 2021-01-07,"ENPH","TIF"
37 | 2021-01-21,"TRMB","CXO"
38 | 2021-02-12,"MPWR","FTI"
39 | 2021-03-22,"CZR,GNRC,PENN,NXPI","VNT,XRX,SLG,FLS"
40 | 2021-04-20,"PTC","VAR"
41 | 2021-05-14,"CRL","FLIR"
42 | 2021-06-04,"OGN","HFC"
43 | 2021-07-21,"MRNA","ALXN"
44 | 2021-08-03,"BBWI","LB"
45 | 2021-08-30,"TECH","MXIM"
46 | 2021-09-20,"BRO,CDAY,MTCH","NOV,UNM,PRGO"
47 | 2021-10-04,"CTRA","COG"
48 | 2021-12-14,"EPAM","KSU"
49 | 2021-12-20,"SBNY,SEDG,FDS","LEG,HBI,WU"
50 | 2022-01-20,"WTW","WLTW"
51 | 2022-02-02,"CEG","GPS"
52 | 2022-02-15,"NDSN","XLNX"
53 | 2022-02-17,"PARA","VIAC"
54 | 2022-03-02,"MOH","INFO"
55 | 2022-04-04,"CPT","PBCT"
56 | 2022-04-11,"WBD","DISCA,DISCK"
57 | 2022-05-10,"BALL","BLL"
58 | 2022-06-08,"VICI","CERN"
59 | 2022-06-09,"META","FB"
60 | 2022-06-21,"ON,KDP","IPGP,UA,UAA"
61 | 2022-06-28,"ELV","ANTM"
62 | 2022-09-19,"INVH,CSGP","PENN,PVH"
63 | 2022-10-03,"EQT,PCG","DRE,CTXS"
64 | 2022-10-12,"TRGP","NLSN"
65 | 2022-11-01,"ACGL","TWTR"
66 | 2022-11-08,"GEN","NLOK"
67 | 2022-12-19,"FSLR","FBHS"
68 | 2022-12-22,"STLD","ABMD"
69 | 2023-01-04,"GEHC","VNO"
70 | 2023-03-15,"PODD,BG","SIVB,SBNY"
71 | 2023-03-20,"FICO","LUMN"
72 | 2023-05-04,"AXON","FRC"
73 | 2023-05-16,"RVTY","PKI"
74 | 2023-06-07,"FI","FISV"
75 | 2023-06-10,"EG","RE"
76 | 2023-06-20,"PANW","DISH"
77 | 2023-08-25,"KVUE","AAP"
78 | 2023-08-30,"COR","ABC"
79 | 2023-09-18,"ABNB,BX","NWL,LNC"
80 | 2023-10-02,"VLTO","DXC"
81 | 2023-10-18,"LULU,HUBB,BLDR,JBL,UBER","ATVI,OGN,SEDG,ALK,SEE"
82 | 2024-02-01,"DAY","CDAY"
83 | 2024-03-04,"DOC","PEAK"
84 | 2024-03-18,"DECK,SMCI","ZION,WHR"
85 | 2024-03-25,"CPAY","FLT"
86 | 2024-04-03,"SOLV,GEV","VFC,XRAY"
87 | 2024-05-08,"VST","PXD"
88 | 2024-06-24,"GDDY,CRWD,KKR","ILMN,CMA,RHI"
89 | 2024-07-08,"SW","WRK"
90 | 2024-09-23,"ERIE,DELL,PLTR","BIO,ETSY,AAL"
91 | 2024-09-30,"AMTM",""
92 | 2024-10-01,"","BBWI"
93 | 2024-11-26,"TPL","MRO"
94 | 2024-12-23,"APO,WDAY,LII","QRVO,AMTM,CTLT"
95 | 


--------------------------------------------------------------------------------
/sp500_historical.ipynb:
--------------------------------------------------------------------------------
   1 | {
   2 |  "cells": [
   3 |   {
   4 |    "cell_type": "markdown",
   5 |    "metadata": {
   6 |     "ExecuteTime": {
   7 |      "end_time": "2019-11-16T14:29:50.731803Z",
   8 |      "start_time": "2019-11-16T14:29:50.715887Z"
   9 |     }
  10 |    },
  11 |    "source": [
  12 |     "# Lists of S&P 500 companies historical components\n",
  13 |     "\n",
  14 |     "1. Read 'S&P 500 Historical Components & Changes.csv' which contains historical S&P 500 index membership since 1996.  Each row contains 2 fields: date and tickers; tickers is a comma delimited string of the symbols for that specified date.  This file was provided as open source via download for the book \"Trading Evolved\" by Andreas F. Clenow.  \n",
  15 |     "2. Clean up the list by fixing up symbols, removing duplicates in each row, and sorting the symbols  \n",
  16 |     "3. Read in 'sp500_changes_since_2019.csv' which contains the changes to the index since 2019  \n",
  17 |     "4. Create new rows in the historical membership list for these changes  \n",
  18 |     "5. Compare the last row to current list of S&P 500 components on the wikipedia  \n",
  19 |     "6. A list of differences is generated.  If this list is NOT empty, then changes have been made to the index that should be included in 'sp500_changes_since_2019.csv'.  \n",
  20 |     "7. Write out date stamped 'S&P 500 Historical Components & Changes' csv file"
  21 |    ]
  22 |   },
  23 |   {
  24 |    "cell_type": "code",
  25 |    "execution_count": 18,
  26 |    "metadata": {
  27 |     "ExecuteTime": {
  28 |      "end_time": "2020-04-21T03:37:48.983781Z",
  29 |      "start_time": "2020-04-21T03:37:47.965842Z"
  30 |     }
  31 |    },
  32 |    "outputs": [],
  33 |    "source": [
  34 |     "from datetime import datetime\n",
  35 |     "import os\n",
  36 |     "import pandas as pd\n",
  37 |     "\n",
  38 |     "pd.options.mode.chained_assignment = None  # default='warn'\n",
  39 |     "pd.set_option('display.max_rows', 600)\n",
  40 |     "\n",
  41 |     "# -*- encoding: utf-8 -*-\n",
  42 |     "%matplotlib inline"
  43 |    ]
  44 |   },
  45 |   {
  46 |    "cell_type": "code",
  47 |    "execution_count": 19,
  48 |    "metadata": {
  49 |     "ExecuteTime": {
  50 |      "end_time": "2020-04-21T03:37:49.012882Z",
  51 |      "start_time": "2020-04-21T03:37:48.991884Z"
  52 |     }
  53 |    },
  54 |    "outputs": [
  55 |     {
  56 |      "data": {
  57 |       "application/javascript": [
  58 |        "IPython.OutputArea.prototype._should_scroll = function(lines) {\n",
  59 |        "    return false;\n",
  60 |        "}\n"
  61 |       ],
  62 |       "text/plain": [
  63 |        "<IPython.core.display.Javascript object>"
  64 |       ]
  65 |      },
  66 |      "metadata": {},
  67 |      "output_type": "display_data"
  68 |     }
  69 |    ],
  70 |    "source": [
  71 |     "%%javascript\n",
  72 |     "IPython.OutputArea.prototype._should_scroll = function(lines) {\n",
  73 |     "    return false;\n",
  74 |     "}"
  75 |    ]
  76 |   },
  77 |   {
  78 |    "cell_type": "code",
  79 |    "execution_count": 20,
  80 |    "metadata": {
  81 |     "ExecuteTime": {
  82 |      "end_time": "2020-04-21T03:37:49.036298Z",
  83 |      "start_time": "2020-04-21T03:37:49.020815Z"
  84 |     }
  85 |    },
  86 |    "outputs": [],
  87 |    "source": [
  88 |     "def get_table(filename):\n",
  89 |     "\n",
  90 |     "    if os.path.isfile(filename):\n",
  91 |     "        df = pd.read_csv(filename, index_col='date')\n",
  92 |     "        return df"
  93 |    ]
  94 |   },
  95 |   {
  96 |    "cell_type": "code",
  97 |    "execution_count": 21,
  98 |    "metadata": {
  99 |     "ExecuteTime": {
 100 |      "end_time": "2020-04-21T03:37:49.348506Z",
 101 |      "start_time": "2020-04-21T03:37:49.043763Z"
 102 |     },
 103 |     "scrolled": true
 104 |    },
 105 |    "outputs": [
 106 |     {
 107 |      "data": {
 108 |       "text/html": [
 109 |        "<div>\n",
 110 |        "<style scoped>\n",
 111 |        "    .dataframe tbody tr th:only-of-type {\n",
 112 |        "        vertical-align: middle;\n",
 113 |        "    }\n",
 114 |        "\n",
 115 |        "    .dataframe tbody tr th {\n",
 116 |        "        vertical-align: top;\n",
 117 |        "    }\n",
 118 |        "\n",
 119 |        "    .dataframe thead th {\n",
 120 |        "        text-align: right;\n",
 121 |        "    }\n",
 122 |        "</style>\n",
 123 |        "<table border=\"1\" class=\"dataframe\">\n",
 124 |        "  <thead>\n",
 125 |        "    <tr style=\"text-align: right;\">\n",
 126 |        "      <th></th>\n",
 127 |        "      <th>tickers</th>\n",
 128 |        "    </tr>\n",
 129 |        "    <tr>\n",
 130 |        "      <th>date</th>\n",
 131 |        "      <th></th>\n",
 132 |        "    </tr>\n",
 133 |        "  </thead>\n",
 134 |        "  <tbody>\n",
 135 |        "    <tr>\n",
 136 |        "      <th>1996-01-02</th>\n",
 137 |        "      <td>TMC-200006,AAL-199702,AAMRQ-201312,AAPL,ABI-20...</td>\n",
 138 |        "    </tr>\n",
 139 |        "    <tr>\n",
 140 |        "      <th>1996-01-03</th>\n",
 141 |        "      <td>AAL-199702,AAMRQ-201312,AAPL,ABI-200811,ABS-20...</td>\n",
 142 |        "    </tr>\n",
 143 |        "    <tr>\n",
 144 |        "      <th>1996-01-04</th>\n",
 145 |        "      <td>TMC-200006,AAL-199702,AAMRQ-201312,AAPL,OAT-20...</td>\n",
 146 |        "    </tr>\n",
 147 |        "    <tr>\n",
 148 |        "      <th>1996-01-10</th>\n",
 149 |        "      <td>TMC-200006,AAL-199702,AAMRQ-201312,AAPL,ABI-20...</td>\n",
 150 |        "    </tr>\n",
 151 |        "    <tr>\n",
 152 |        "      <th>1996-01-11</th>\n",
 153 |        "      <td>FLMIQ-200408,FLTWQ-200907,FMC,FMCC,FNMA,FTL.A-...</td>\n",
 154 |        "    </tr>\n",
 155 |        "  </tbody>\n",
 156 |        "</table>\n",
 157 |        "</div>"
 158 |       ],
 159 |       "text/plain": [
 160 |        "                                                      tickers\n",
 161 |        "date                                                         \n",
 162 |        "1996-01-02  TMC-200006,AAL-199702,AAMRQ-201312,AAPL,ABI-20...\n",
 163 |        "1996-01-03  AAL-199702,AAMRQ-201312,AAPL,ABI-200811,ABS-20...\n",
 164 |        "1996-01-04  TMC-200006,AAL-199702,AAMRQ-201312,AAPL,OAT-20...\n",
 165 |        "1996-01-10  TMC-200006,AAL-199702,AAMRQ-201312,AAPL,ABI-20...\n",
 166 |        "1996-01-11  FLMIQ-200408,FLTWQ-200907,FMC,FMCC,FNMA,FTL.A-..."
 167 |       ]
 168 |      },
 169 |      "execution_count": 21,
 170 |      "metadata": {},
 171 |      "output_type": "execute_result"
 172 |     }
 173 |    ],
 174 |    "source": [
 175 |     "filename = 'S&P 500 Historical Components & Changes.csv'\n",
 176 |     "df = get_table(filename)\n",
 177 |     "df.head()"
 178 |    ]
 179 |   },
 180 |   {
 181 |    "cell_type": "code",
 182 |    "execution_count": 22,
 183 |    "metadata": {
 184 |     "ExecuteTime": {
 185 |      "end_time": "2020-04-21T03:37:49.732737Z",
 186 |      "start_time": "2020-04-21T03:37:49.356673Z"
 187 |     },
 188 |     "scrolled": true
 189 |    },
 190 |    "outputs": [
 191 |     {
 192 |      "data": {
 193 |       "text/html": [
 194 |        "<div>\n",
 195 |        "<style scoped>\n",
 196 |        "    .dataframe tbody tr th:only-of-type {\n",
 197 |        "        vertical-align: middle;\n",
 198 |        "    }\n",
 199 |        "\n",
 200 |        "    .dataframe tbody tr th {\n",
 201 |        "        vertical-align: top;\n",
 202 |        "    }\n",
 203 |        "\n",
 204 |        "    .dataframe thead th {\n",
 205 |        "        text-align: right;\n",
 206 |        "    }\n",
 207 |        "</style>\n",
 208 |        "<table border=\"1\" class=\"dataframe\">\n",
 209 |        "  <thead>\n",
 210 |        "    <tr style=\"text-align: right;\">\n",
 211 |        "      <th></th>\n",
 212 |        "      <th>tickers</th>\n",
 213 |        "    </tr>\n",
 214 |        "    <tr>\n",
 215 |        "      <th>date</th>\n",
 216 |        "      <th></th>\n",
 217 |        "    </tr>\n",
 218 |        "  </thead>\n",
 219 |        "  <tbody>\n",
 220 |        "    <tr>\n",
 221 |        "      <th>2019-01-03</th>\n",
 222 |        "      <td>[A, AAL, AAP, AAPL, ABBV, ABC, ABMD, ABT, ACN,...</td>\n",
 223 |        "    </tr>\n",
 224 |        "    <tr>\n",
 225 |        "      <th>2019-01-08</th>\n",
 226 |        "      <td>[A, AAL, AAP, AAPL, ABBV, ABC, ABMD, ABT, ACN,...</td>\n",
 227 |        "    </tr>\n",
 228 |        "    <tr>\n",
 229 |        "      <th>2019-01-09</th>\n",
 230 |        "      <td>[A, AAL, AAP, AAPL, ABBV, ABC, ABMD, ABT, ACN,...</td>\n",
 231 |        "    </tr>\n",
 232 |        "    <tr>\n",
 233 |        "      <th>2019-01-10</th>\n",
 234 |        "      <td>[A, AAL, AAP, AAPL, ABBV, ABC, ABMD, ABT, ACN,...</td>\n",
 235 |        "    </tr>\n",
 236 |        "    <tr>\n",
 237 |        "      <th>2019-01-11</th>\n",
 238 |        "      <td>[A, AAL, AAP, AAPL, ABBV, ABC, ABMD, ABT, ACN,...</td>\n",
 239 |        "    </tr>\n",
 240 |        "  </tbody>\n",
 241 |        "</table>\n",
 242 |        "</div>"
 243 |       ],
 244 |       "text/plain": [
 245 |        "                                                      tickers\n",
 246 |        "date                                                         \n",
 247 |        "2019-01-03  [A, AAL, AAP, AAPL, ABBV, ABC, ABMD, ABT, ACN,...\n",
 248 |        "2019-01-08  [A, AAL, AAP, AAPL, ABBV, ABC, ABMD, ABT, ACN,...\n",
 249 |        "2019-01-09  [A, AAL, AAP, AAPL, ABBV, ABC, ABMD, ABT, ACN,...\n",
 250 |        "2019-01-10  [A, AAL, AAP, AAPL, ABBV, ABC, ABMD, ABT, ACN,...\n",
 251 |        "2019-01-11  [A, AAL, AAP, AAPL, ABBV, ABC, ABMD, ABT, ACN,..."
 252 |       ]
 253 |      },
 254 |      "execution_count": 22,
 255 |      "metadata": {},
 256 |      "output_type": "execute_result"
 257 |     }
 258 |    ],
 259 |    "source": [
 260 |     "# Convert ticker column from csv to list, then sort.\n",
 261 |     "df['tickers'] = df['tickers'].apply(lambda x: sorted(x.split(',')))\n",
 262 |     "df.tail()"
 263 |    ]
 264 |   },
 265 |   {
 266 |    "cell_type": "code",
 267 |    "execution_count": 23,
 268 |    "metadata": {},
 269 |    "outputs": [],
 270 |    "source": [
 271 |     "l = list(df['tickers'].head(100))[0]\n",
 272 |     "# l"
 273 |    ]
 274 |   },
 275 |   {
 276 |    "cell_type": "code",
 277 |    "execution_count": 24,
 278 |    "metadata": {
 279 |     "ExecuteTime": {
 280 |      "end_time": "2020-04-21T03:37:50.681807Z",
 281 |      "start_time": "2020-04-21T03:37:49.742193Z"
 282 |     }
 283 |    },
 284 |    "outputs": [
 285 |     {
 286 |      "data": {
 287 |       "text/html": [
 288 |        "<div>\n",
 289 |        "<style scoped>\n",
 290 |        "    .dataframe tbody tr th:only-of-type {\n",
 291 |        "        vertical-align: middle;\n",
 292 |        "    }\n",
 293 |        "\n",
 294 |        "    .dataframe tbody tr th {\n",
 295 |        "        vertical-align: top;\n",
 296 |        "    }\n",
 297 |        "\n",
 298 |        "    .dataframe thead th {\n",
 299 |        "        text-align: right;\n",
 300 |        "    }\n",
 301 |        "</style>\n",
 302 |        "<table border=\"1\" class=\"dataframe\">\n",
 303 |        "  <thead>\n",
 304 |        "    <tr style=\"text-align: right;\">\n",
 305 |        "      <th></th>\n",
 306 |        "      <th>tickers</th>\n",
 307 |        "    </tr>\n",
 308 |        "    <tr>\n",
 309 |        "      <th>date</th>\n",
 310 |        "      <th></th>\n",
 311 |        "    </tr>\n",
 312 |        "  </thead>\n",
 313 |        "  <tbody>\n",
 314 |        "    <tr>\n",
 315 |        "      <th>1996-01-02</th>\n",
 316 |        "      <td>[AAL, AAMRQ, AAPL, ABI, ABS, ABT, ABX, ACKH, A...</td>\n",
 317 |        "    </tr>\n",
 318 |        "    <tr>\n",
 319 |        "      <th>1996-01-03</th>\n",
 320 |        "      <td>[AAL, AAMRQ, AAPL, ABI, ABS, ABT, ABX, ACKH, A...</td>\n",
 321 |        "    </tr>\n",
 322 |        "    <tr>\n",
 323 |        "      <th>1996-01-04</th>\n",
 324 |        "      <td>[AAL, AAMRQ, AAPL, ABI, ABS, ABT, ABX, ACKH, A...</td>\n",
 325 |        "    </tr>\n",
 326 |        "    <tr>\n",
 327 |        "      <th>1996-01-10</th>\n",
 328 |        "      <td>[AAL, AAMRQ, AAPL, ABI, ABS, ABT, ABX, ACKH, A...</td>\n",
 329 |        "    </tr>\n",
 330 |        "    <tr>\n",
 331 |        "      <th>1996-01-11</th>\n",
 332 |        "      <td>[AAL, AAMRQ, AAPL, ABI, ABS, ABT, ABX, ACKH, A...</td>\n",
 333 |        "    </tr>\n",
 334 |        "  </tbody>\n",
 335 |        "</table>\n",
 336 |        "</div>"
 337 |       ],
 338 |       "text/plain": [
 339 |        "                                                      tickers\n",
 340 |        "date                                                         \n",
 341 |        "1996-01-02  [AAL, AAMRQ, AAPL, ABI, ABS, ABT, ABX, ACKH, A...\n",
 342 |        "1996-01-03  [AAL, AAMRQ, AAPL, ABI, ABS, ABT, ABX, ACKH, A...\n",
 343 |        "1996-01-04  [AAL, AAMRQ, AAPL, ABI, ABS, ABT, ABX, ACKH, A...\n",
 344 |        "1996-01-10  [AAL, AAMRQ, AAPL, ABI, ABS, ABT, ABX, ACKH, A...\n",
 345 |        "1996-01-11  [AAL, AAMRQ, AAPL, ABI, ABS, ABT, ABX, ACKH, A..."
 346 |       ]
 347 |      },
 348 |      "execution_count": 24,
 349 |      "metadata": {},
 350 |      "output_type": "execute_result"
 351 |     }
 352 |    ],
 353 |    "source": [
 354 |     "# Replace SYMBOL-yyyymm with SYMBOL.\n",
 355 |     "df['tickers'] = [[ticker.split('-')[0] for ticker in tickers] for tickers in df['tickers']]\n",
 356 |     "df.head()"
 357 |    ]
 358 |   },
 359 |   {
 360 |    "cell_type": "code",
 361 |    "execution_count": 25,
 362 |    "metadata": {},
 363 |    "outputs": [
 364 |     {
 365 |      "data": {
 366 |       "text/plain": [
 367 |        "504"
 368 |       ]
 369 |      },
 370 |      "execution_count": 25,
 371 |      "metadata": {},
 372 |      "output_type": "execute_result"
 373 |     }
 374 |    ],
 375 |    "source": [
 376 |     "l = list(df['tickers'].tail(1))[0]\n",
 377 |     "len(l)"
 378 |    ]
 379 |   },
 380 |   {
 381 |    "cell_type": "code",
 382 |    "execution_count": 26,
 383 |    "metadata": {},
 384 |    "outputs": [
 385 |     {
 386 |      "data": {
 387 |       "text/plain": [
 388 |        "True"
 389 |       ]
 390 |      },
 391 |      "execution_count": 26,
 392 |      "metadata": {},
 393 |      "output_type": "execute_result"
 394 |     }
 395 |    ],
 396 |    "source": [
 397 |     "# Add LIN after 2018-10-31\n",
 398 |     "df.loc[df.index > '2018-10-31', 'tickers'].apply(lambda x: x.append('LIN'))\n",
 399 |     "'LIN' in df['tickers'].values[-1]"
 400 |    ]
 401 |   },
 402 |   {
 403 |    "cell_type": "code",
 404 |    "execution_count": 27,
 405 |    "metadata": {
 406 |     "ExecuteTime": {
 407 |      "end_time": "2020-04-21T03:37:51.690181Z",
 408 |      "start_time": "2020-04-21T03:37:50.687145Z"
 409 |     },
 410 |     "scrolled": true
 411 |    },
 412 |    "outputs": [
 413 |     {
 414 |      "data": {
 415 |       "text/html": [
 416 |        "<div>\n",
 417 |        "<style scoped>\n",
 418 |        "    .dataframe tbody tr th:only-of-type {\n",
 419 |        "        vertical-align: middle;\n",
 420 |        "    }\n",
 421 |        "\n",
 422 |        "    .dataframe tbody tr th {\n",
 423 |        "        vertical-align: top;\n",
 424 |        "    }\n",
 425 |        "\n",
 426 |        "    .dataframe thead th {\n",
 427 |        "        text-align: right;\n",
 428 |        "    }\n",
 429 |        "</style>\n",
 430 |        "<table border=\"1\" class=\"dataframe\">\n",
 431 |        "  <thead>\n",
 432 |        "    <tr style=\"text-align: right;\">\n",
 433 |        "      <th></th>\n",
 434 |        "      <th>tickers</th>\n",
 435 |        "    </tr>\n",
 436 |        "    <tr>\n",
 437 |        "      <th>date</th>\n",
 438 |        "      <th></th>\n",
 439 |        "    </tr>\n",
 440 |        "  </thead>\n",
 441 |        "  <tbody>\n",
 442 |        "    <tr>\n",
 443 |        "      <th>2019-01-03</th>\n",
 444 |        "      <td>[A, AAL, AAP, AAPL, ABBV, ABC, ABMD, ABT, ACN,...</td>\n",
 445 |        "    </tr>\n",
 446 |        "    <tr>\n",
 447 |        "      <th>2019-01-08</th>\n",
 448 |        "      <td>[A, AAL, AAP, AAPL, ABBV, ABC, ABMD, ABT, ACN,...</td>\n",
 449 |        "    </tr>\n",
 450 |        "    <tr>\n",
 451 |        "      <th>2019-01-09</th>\n",
 452 |        "      <td>[A, AAL, AAP, AAPL, ABBV, ABC, ABMD, ABT, ACN,...</td>\n",
 453 |        "    </tr>\n",
 454 |        "    <tr>\n",
 455 |        "      <th>2019-01-10</th>\n",
 456 |        "      <td>[A, AAL, AAP, AAPL, ABBV, ABC, ABMD, ABT, ACN,...</td>\n",
 457 |        "    </tr>\n",
 458 |        "    <tr>\n",
 459 |        "      <th>2019-01-11</th>\n",
 460 |        "      <td>[A, AAL, AAP, AAPL, ABBV, ABC, ABMD, ABT, ACN,...</td>\n",
 461 |        "    </tr>\n",
 462 |        "  </tbody>\n",
 463 |        "</table>\n",
 464 |        "</div>"
 465 |       ],
 466 |       "text/plain": [
 467 |        "                                                      tickers\n",
 468 |        "date                                                         \n",
 469 |        "2019-01-03  [A, AAL, AAP, AAPL, ABBV, ABC, ABMD, ABT, ACN,...\n",
 470 |        "2019-01-08  [A, AAL, AAP, AAPL, ABBV, ABC, ABMD, ABT, ACN,...\n",
 471 |        "2019-01-09  [A, AAL, AAP, AAPL, ABBV, ABC, ABMD, ABT, ACN,...\n",
 472 |        "2019-01-10  [A, AAL, AAP, AAPL, ABBV, ABC, ABMD, ABT, ACN,...\n",
 473 |        "2019-01-11  [A, AAL, AAP, AAPL, ABBV, ABC, ABMD, ABT, ACN,..."
 474 |       ]
 475 |      },
 476 |      "execution_count": 27,
 477 |      "metadata": {},
 478 |      "output_type": "execute_result"
 479 |     }
 480 |    ],
 481 |    "source": [
 482 |     "# Remove duplicates in each row.\n",
 483 |     "df['tickers'] = [sorted(list(set(tickers))) for tickers in df['tickers']]\n",
 484 |     "df.tail()\n",
 485 |     "# num = []\n",
 486 |     "# for i, row in df.iterrows():\n",
 487 |     "#     l = list(row['tickers'])\n",
 488 |     "#     num.append(len(l))\n",
 489 |     "#     print(i, len(l))\n",
 490 |     "# pd.Series(num).describe()"
 491 |    ]
 492 |   },
 493 |   {
 494 |    "cell_type": "code",
 495 |    "execution_count": 28,
 496 |    "metadata": {},
 497 |    "outputs": [
 498 |     {
 499 |      "data": {
 500 |       "text/plain": [
 501 |        "498"
 502 |       ]
 503 |      },
 504 |      "execution_count": 28,
 505 |      "metadata": {},
 506 |      "output_type": "execute_result"
 507 |     }
 508 |    ],
 509 |    "source": [
 510 |     "l = list(df['tickers'].head(3100))[1500]\n",
 511 |     "len(l)"
 512 |    ]
 513 |   },
 514 |   {
 515 |    "cell_type": "markdown",
 516 |    "metadata": {},
 517 |    "source": [
 518 |     "Changes to the list of S&P 500 components\n",
 519 |     "https://en.wikipedia.org/wiki/List_of_S%26P_500_companies#Selected_changes_to_the_list_of_S&P_500_components"
 520 |    ]
 521 |   },
 522 |   {
 523 |    "cell_type": "code",
 524 |    "execution_count": 29,
 525 |    "metadata": {
 526 |     "ExecuteTime": {
 527 |      "end_time": "2020-04-21T03:37:51.780372Z",
 528 |      "start_time": "2020-04-21T03:37:51.701077Z"
 529 |     }
 530 |    },
 531 |    "outputs": [
 532 |     {
 533 |      "data": {
 534 |       "text/html": [
 535 |        "<div>\n",
 536 |        "<style scoped>\n",
 537 |        "    .dataframe tbody tr th:only-of-type {\n",
 538 |        "        vertical-align: middle;\n",
 539 |        "    }\n",
 540 |        "\n",
 541 |        "    .dataframe tbody tr th {\n",
 542 |        "        vertical-align: top;\n",
 543 |        "    }\n",
 544 |        "\n",
 545 |        "    .dataframe thead th {\n",
 546 |        "        text-align: right;\n",
 547 |        "    }\n",
 548 |        "</style>\n",
 549 |        "<table border=\"1\" class=\"dataframe\">\n",
 550 |        "  <thead>\n",
 551 |        "    <tr style=\"text-align: right;\">\n",
 552 |        "      <th></th>\n",
 553 |        "      <th>add</th>\n",
 554 |        "      <th>remove</th>\n",
 555 |        "    </tr>\n",
 556 |        "    <tr>\n",
 557 |        "      <th>date</th>\n",
 558 |        "      <th></th>\n",
 559 |        "      <th></th>\n",
 560 |        "    </tr>\n",
 561 |        "  </thead>\n",
 562 |        "  <tbody>\n",
 563 |        "    <tr>\n",
 564 |        "      <th>2019-01-18</th>\n",
 565 |        "      <td>[TFX]</td>\n",
 566 |        "      <td>[PCG]</td>\n",
 567 |        "    </tr>\n",
 568 |        "    <tr>\n",
 569 |        "      <th>2019-02-15</th>\n",
 570 |        "      <td>[ATO]</td>\n",
 571 |        "      <td>[NFX]</td>\n",
 572 |        "    </tr>\n",
 573 |        "    <tr>\n",
 574 |        "      <th>2019-02-27</th>\n",
 575 |        "      <td>[WAB]</td>\n",
 576 |        "      <td>[GT]</td>\n",
 577 |        "    </tr>\n",
 578 |        "    <tr>\n",
 579 |        "      <th>2019-04-02</th>\n",
 580 |        "      <td>[DOW]</td>\n",
 581 |        "      <td>[BHF]</td>\n",
 582 |        "    </tr>\n",
 583 |        "    <tr>\n",
 584 |        "      <th>2019-06-01</th>\n",
 585 |        "      <td>[LHX]</td>\n",
 586 |        "      <td>[HRS]</td>\n",
 587 |        "    </tr>\n",
 588 |        "    <tr>\n",
 589 |        "      <th>2019-06-03</th>\n",
 590 |        "      <td>[CTVA, DD]</td>\n",
 591 |        "      <td>[DWDP, FLR]</td>\n",
 592 |        "    </tr>\n",
 593 |        "    <tr>\n",
 594 |        "      <th>2019-06-07</th>\n",
 595 |        "      <td>[AMCR]</td>\n",
 596 |        "      <td>[MAT]</td>\n",
 597 |        "    </tr>\n",
 598 |        "    <tr>\n",
 599 |        "      <th>2019-07-01</th>\n",
 600 |        "      <td>[MKTX]</td>\n",
 601 |        "      <td>[LLL]</td>\n",
 602 |        "    </tr>\n",
 603 |        "    <tr>\n",
 604 |        "      <th>2019-07-15</th>\n",
 605 |        "      <td>[TMUS]</td>\n",
 606 |        "      <td>[RHT]</td>\n",
 607 |        "    </tr>\n",
 608 |        "    <tr>\n",
 609 |        "      <th>2019-08-08</th>\n",
 610 |        "      <td>[GL]</td>\n",
 611 |        "      <td>[TMK]</td>\n",
 612 |        "    </tr>\n",
 613 |        "    <tr>\n",
 614 |        "      <th>2019-08-09</th>\n",
 615 |        "      <td>[IEX, LDOS]</td>\n",
 616 |        "      <td>[APC, FL]</td>\n",
 617 |        "    </tr>\n",
 618 |        "    <tr>\n",
 619 |        "      <th>2019-09-23</th>\n",
 620 |        "      <td>[CDW]</td>\n",
 621 |        "      <td>[TSS]</td>\n",
 622 |        "    </tr>\n",
 623 |        "    <tr>\n",
 624 |        "      <th>2019-09-26</th>\n",
 625 |        "      <td>[NVR]</td>\n",
 626 |        "      <td>[JEF]</td>\n",
 627 |        "    </tr>\n",
 628 |        "    <tr>\n",
 629 |        "      <th>2019-10-03</th>\n",
 630 |        "      <td>[LVS]</td>\n",
 631 |        "      <td>[NKTR]</td>\n",
 632 |        "    </tr>\n",
 633 |        "    <tr>\n",
 634 |        "      <th>2019-10-18</th>\n",
 635 |        "      <td>[BKR]</td>\n",
 636 |        "      <td>[BHGE]</td>\n",
 637 |        "    </tr>\n",
 638 |        "    <tr>\n",
 639 |        "      <th>2019-11-05</th>\n",
 640 |        "      <td>[NLOK, PEAK]</td>\n",
 641 |        "      <td>[HCP, SYMC]</td>\n",
 642 |        "    </tr>\n",
 643 |        "    <tr>\n",
 644 |        "      <th>2019-11-21</th>\n",
 645 |        "      <td>[NOW]</td>\n",
 646 |        "      <td>[CELG]</td>\n",
 647 |        "    </tr>\n",
 648 |        "    <tr>\n",
 649 |        "      <th>2019-12-05</th>\n",
 650 |        "      <td>[VIAC, WRB]</td>\n",
 651 |        "      <td>[CBS, VIAB]</td>\n",
 652 |        "    </tr>\n",
 653 |        "    <tr>\n",
 654 |        "      <th>2019-12-09</th>\n",
 655 |        "      <td>[ODFL, TFC]</td>\n",
 656 |        "      <td>[BBT, STI]</td>\n",
 657 |        "    </tr>\n",
 658 |        "    <tr>\n",
 659 |        "      <th>2019-12-10</th>\n",
 660 |        "      <td>[J]</td>\n",
 661 |        "      <td>[JEC]</td>\n",
 662 |        "    </tr>\n",
 663 |        "    <tr>\n",
 664 |        "      <th>2019-12-23</th>\n",
 665 |        "      <td>[LYV, STE, ZBRA]</td>\n",
 666 |        "      <td>[AMG, MAC, TRIP]</td>\n",
 667 |        "    </tr>\n",
 668 |        "    <tr>\n",
 669 |        "      <th>2020-01-28</th>\n",
 670 |        "      <td>[PAYC]</td>\n",
 671 |        "      <td>[WCG]</td>\n",
 672 |        "    </tr>\n",
 673 |        "    <tr>\n",
 674 |        "      <th>2020-03-03</th>\n",
 675 |        "      <td>[TT]</td>\n",
 676 |        "      <td>[XEC]</td>\n",
 677 |        "    </tr>\n",
 678 |        "    <tr>\n",
 679 |        "      <th>2020-04-03</th>\n",
 680 |        "      <td>[CARR, OTIS, RTX]</td>\n",
 681 |        "      <td>[UTX]</td>\n",
 682 |        "    </tr>\n",
 683 |        "    <tr>\n",
 684 |        "      <th>2020-04-06</th>\n",
 685 |        "      <td>[HWM]</td>\n",
 686 |        "      <td>[ARNC, M, RTN]</td>\n",
 687 |        "    </tr>\n",
 688 |        "    <tr>\n",
 689 |        "      <th>2020-05-12</th>\n",
 690 |        "      <td>[DPZ, DXCM]</td>\n",
 691 |        "      <td>[AGN, CPRI]</td>\n",
 692 |        "    </tr>\n",
 693 |        "    <tr>\n",
 694 |        "      <th>2020-05-22</th>\n",
 695 |        "      <td>[WST]</td>\n",
 696 |        "      <td>[HP]</td>\n",
 697 |        "    </tr>\n",
 698 |        "    <tr>\n",
 699 |        "      <th>2020-06-22</th>\n",
 700 |        "      <td>[BIO, TDY, TYL]</td>\n",
 701 |        "      <td>[ADS, HOG, JWN]</td>\n",
 702 |        "    </tr>\n",
 703 |        "    <tr>\n",
 704 |        "      <th>2020-09-18</th>\n",
 705 |        "      <td>[LUMN]</td>\n",
 706 |        "      <td>[CTL]</td>\n",
 707 |        "    </tr>\n",
 708 |        "    <tr>\n",
 709 |        "      <th>2020-09-21</th>\n",
 710 |        "      <td>[CTLT, ETSY, TER]</td>\n",
 711 |        "      <td>[COTY, HRB, KSS]</td>\n",
 712 |        "    </tr>\n",
 713 |        "    <tr>\n",
 714 |        "      <th>2020-10-07</th>\n",
 715 |        "      <td>[POOL]</td>\n",
 716 |        "      <td>[ETFC]</td>\n",
 717 |        "    </tr>\n",
 718 |        "    <tr>\n",
 719 |        "      <th>2020-10-12</th>\n",
 720 |        "      <td>[VNT]</td>\n",
 721 |        "      <td>[NBL]</td>\n",
 722 |        "    </tr>\n",
 723 |        "    <tr>\n",
 724 |        "      <th>2020-11-17</th>\n",
 725 |        "      <td>[VTRS]</td>\n",
 726 |        "      <td>[MYL]</td>\n",
 727 |        "    </tr>\n",
 728 |        "    <tr>\n",
 729 |        "      <th>2020-12-21</th>\n",
 730 |        "      <td>[TSLA]</td>\n",
 731 |        "      <td>[AIV]</td>\n",
 732 |        "    </tr>\n",
 733 |        "    <tr>\n",
 734 |        "      <th>2021-01-07</th>\n",
 735 |        "      <td>[ENPH]</td>\n",
 736 |        "      <td>[TIF]</td>\n",
 737 |        "    </tr>\n",
 738 |        "    <tr>\n",
 739 |        "      <th>2021-01-21</th>\n",
 740 |        "      <td>[TRMB]</td>\n",
 741 |        "      <td>[CXO]</td>\n",
 742 |        "    </tr>\n",
 743 |        "    <tr>\n",
 744 |        "      <th>2021-02-12</th>\n",
 745 |        "      <td>[MPWR]</td>\n",
 746 |        "      <td>[FTI]</td>\n",
 747 |        "    </tr>\n",
 748 |        "    <tr>\n",
 749 |        "      <th>2021-03-22</th>\n",
 750 |        "      <td>[CZR, GNRC, NXPI, PENN]</td>\n",
 751 |        "      <td>[FLS, SLG, VNT, XRX]</td>\n",
 752 |        "    </tr>\n",
 753 |        "    <tr>\n",
 754 |        "      <th>2021-04-20</th>\n",
 755 |        "      <td>[PTC]</td>\n",
 756 |        "      <td>[VAR]</td>\n",
 757 |        "    </tr>\n",
 758 |        "    <tr>\n",
 759 |        "      <th>2021-05-14</th>\n",
 760 |        "      <td>[CRL]</td>\n",
 761 |        "      <td>[FLIR]</td>\n",
 762 |        "    </tr>\n",
 763 |        "    <tr>\n",
 764 |        "      <th>2021-06-04</th>\n",
 765 |        "      <td>[OGN]</td>\n",
 766 |        "      <td>[HFC]</td>\n",
 767 |        "    </tr>\n",
 768 |        "    <tr>\n",
 769 |        "      <th>2021-07-21</th>\n",
 770 |        "      <td>[MRNA]</td>\n",
 771 |        "      <td>[ALXN]</td>\n",
 772 |        "    </tr>\n",
 773 |        "    <tr>\n",
 774 |        "      <th>2021-08-03</th>\n",
 775 |        "      <td>[BBWI]</td>\n",
 776 |        "      <td>[LB]</td>\n",
 777 |        "    </tr>\n",
 778 |        "    <tr>\n",
 779 |        "      <th>2021-08-30</th>\n",
 780 |        "      <td>[TECH]</td>\n",
 781 |        "      <td>[MXIM]</td>\n",
 782 |        "    </tr>\n",
 783 |        "    <tr>\n",
 784 |        "      <th>2021-09-20</th>\n",
 785 |        "      <td>[BRO, CDAY, MTCH]</td>\n",
 786 |        "      <td>[NOV, PRGO, UNM]</td>\n",
 787 |        "    </tr>\n",
 788 |        "    <tr>\n",
 789 |        "      <th>2021-10-04</th>\n",
 790 |        "      <td>[CTRA]</td>\n",
 791 |        "      <td>[COG]</td>\n",
 792 |        "    </tr>\n",
 793 |        "    <tr>\n",
 794 |        "      <th>2021-12-14</th>\n",
 795 |        "      <td>[EPAM]</td>\n",
 796 |        "      <td>[KSU]</td>\n",
 797 |        "    </tr>\n",
 798 |        "    <tr>\n",
 799 |        "      <th>2021-12-20</th>\n",
 800 |        "      <td>[FDS, SBNY, SEDG]</td>\n",
 801 |        "      <td>[HBI, LEG, WU]</td>\n",
 802 |        "    </tr>\n",
 803 |        "    <tr>\n",
 804 |        "      <th>2022-01-20</th>\n",
 805 |        "      <td>[WTW]</td>\n",
 806 |        "      <td>[WLTW]</td>\n",
 807 |        "    </tr>\n",
 808 |        "    <tr>\n",
 809 |        "      <th>2022-02-02</th>\n",
 810 |        "      <td>[CEG]</td>\n",
 811 |        "      <td>[GPS]</td>\n",
 812 |        "    </tr>\n",
 813 |        "    <tr>\n",
 814 |        "      <th>2022-02-15</th>\n",
 815 |        "      <td>[NDSN]</td>\n",
 816 |        "      <td>[XLNX]</td>\n",
 817 |        "    </tr>\n",
 818 |        "    <tr>\n",
 819 |        "      <th>2022-02-17</th>\n",
 820 |        "      <td>[PARA]</td>\n",
 821 |        "      <td>[VIAC]</td>\n",
 822 |        "    </tr>\n",
 823 |        "    <tr>\n",
 824 |        "      <th>2022-03-02</th>\n",
 825 |        "      <td>[MOH]</td>\n",
 826 |        "      <td>[INFO]</td>\n",
 827 |        "    </tr>\n",
 828 |        "    <tr>\n",
 829 |        "      <th>2022-04-04</th>\n",
 830 |        "      <td>[CPT]</td>\n",
 831 |        "      <td>[PBCT]</td>\n",
 832 |        "    </tr>\n",
 833 |        "    <tr>\n",
 834 |        "      <th>2022-04-11</th>\n",
 835 |        "      <td>[WBD]</td>\n",
 836 |        "      <td>[DISCA, DISCK]</td>\n",
 837 |        "    </tr>\n",
 838 |        "    <tr>\n",
 839 |        "      <th>2022-05-10</th>\n",
 840 |        "      <td>[BALL]</td>\n",
 841 |        "      <td>[BLL]</td>\n",
 842 |        "    </tr>\n",
 843 |        "    <tr>\n",
 844 |        "      <th>2022-06-08</th>\n",
 845 |        "      <td>[VICI]</td>\n",
 846 |        "      <td>[CERN]</td>\n",
 847 |        "    </tr>\n",
 848 |        "    <tr>\n",
 849 |        "      <th>2022-06-09</th>\n",
 850 |        "      <td>[META]</td>\n",
 851 |        "      <td>[FB]</td>\n",
 852 |        "    </tr>\n",
 853 |        "    <tr>\n",
 854 |        "      <th>2022-06-21</th>\n",
 855 |        "      <td>[KDP, ON]</td>\n",
 856 |        "      <td>[IPGP, UA, UAA]</td>\n",
 857 |        "    </tr>\n",
 858 |        "    <tr>\n",
 859 |        "      <th>2022-06-28</th>\n",
 860 |        "      <td>[ELV]</td>\n",
 861 |        "      <td>[ANTM]</td>\n",
 862 |        "    </tr>\n",
 863 |        "    <tr>\n",
 864 |        "      <th>2022-09-19</th>\n",
 865 |        "      <td>[CSGP, INVH]</td>\n",
 866 |        "      <td>[PENN, PVH]</td>\n",
 867 |        "    </tr>\n",
 868 |        "    <tr>\n",
 869 |        "      <th>2022-10-03</th>\n",
 870 |        "      <td>[EQT, PCG]</td>\n",
 871 |        "      <td>[CTXS, DRE]</td>\n",
 872 |        "    </tr>\n",
 873 |        "    <tr>\n",
 874 |        "      <th>2022-10-12</th>\n",
 875 |        "      <td>[TRGP]</td>\n",
 876 |        "      <td>[NLSN]</td>\n",
 877 |        "    </tr>\n",
 878 |        "    <tr>\n",
 879 |        "      <th>2022-11-01</th>\n",
 880 |        "      <td>[ACGL]</td>\n",
 881 |        "      <td>[TWTR]</td>\n",
 882 |        "    </tr>\n",
 883 |        "    <tr>\n",
 884 |        "      <th>2022-11-08</th>\n",
 885 |        "      <td>[GEN]</td>\n",
 886 |        "      <td>[NLOK]</td>\n",
 887 |        "    </tr>\n",
 888 |        "    <tr>\n",
 889 |        "      <th>2022-12-19</th>\n",
 890 |        "      <td>[FSLR]</td>\n",
 891 |        "      <td>[FBHS]</td>\n",
 892 |        "    </tr>\n",
 893 |        "    <tr>\n",
 894 |        "      <th>2022-12-22</th>\n",
 895 |        "      <td>[STLD]</td>\n",
 896 |        "      <td>[ABMD]</td>\n",
 897 |        "    </tr>\n",
 898 |        "    <tr>\n",
 899 |        "      <th>2023-01-04</th>\n",
 900 |        "      <td>[GEHC]</td>\n",
 901 |        "      <td>[VNO]</td>\n",
 902 |        "    </tr>\n",
 903 |        "    <tr>\n",
 904 |        "      <th>2023-03-15</th>\n",
 905 |        "      <td>[BG, PODD]</td>\n",
 906 |        "      <td>[SBNY, SIVB]</td>\n",
 907 |        "    </tr>\n",
 908 |        "    <tr>\n",
 909 |        "      <th>2023-03-20</th>\n",
 910 |        "      <td>[FICO]</td>\n",
 911 |        "      <td>[LUMN]</td>\n",
 912 |        "    </tr>\n",
 913 |        "    <tr>\n",
 914 |        "      <th>2023-05-04</th>\n",
 915 |        "      <td>[AXON]</td>\n",
 916 |        "      <td>[FRC]</td>\n",
 917 |        "    </tr>\n",
 918 |        "    <tr>\n",
 919 |        "      <th>2023-05-16</th>\n",
 920 |        "      <td>[RVTY]</td>\n",
 921 |        "      <td>[PKI]</td>\n",
 922 |        "    </tr>\n",
 923 |        "    <tr>\n",
 924 |        "      <th>2023-06-07</th>\n",
 925 |        "      <td>[FI]</td>\n",
 926 |        "      <td>[FISV]</td>\n",
 927 |        "    </tr>\n",
 928 |        "    <tr>\n",
 929 |        "      <th>2023-06-10</th>\n",
 930 |        "      <td>[EG]</td>\n",
 931 |        "      <td>[RE]</td>\n",
 932 |        "    </tr>\n",
 933 |        "    <tr>\n",
 934 |        "      <th>2023-06-20</th>\n",
 935 |        "      <td>[PANW]</td>\n",
 936 |        "      <td>[DISH]</td>\n",
 937 |        "    </tr>\n",
 938 |        "    <tr>\n",
 939 |        "      <th>2023-08-25</th>\n",
 940 |        "      <td>[KVUE]</td>\n",
 941 |        "      <td>[AAP]</td>\n",
 942 |        "    </tr>\n",
 943 |        "    <tr>\n",
 944 |        "      <th>2023-08-30</th>\n",
 945 |        "      <td>[COR]</td>\n",
 946 |        "      <td>[ABC]</td>\n",
 947 |        "    </tr>\n",
 948 |        "    <tr>\n",
 949 |        "      <th>2023-09-18</th>\n",
 950 |        "      <td>[ABNB, BX]</td>\n",
 951 |        "      <td>[LNC, NWL]</td>\n",
 952 |        "    </tr>\n",
 953 |        "    <tr>\n",
 954 |        "      <th>2023-10-02</th>\n",
 955 |        "      <td>[VLTO]</td>\n",
 956 |        "      <td>[DXC]</td>\n",
 957 |        "    </tr>\n",
 958 |        "    <tr>\n",
 959 |        "      <th>2023-10-18</th>\n",
 960 |        "      <td>[BLDR, HUBB, JBL, LULU, UBER]</td>\n",
 961 |        "      <td>[ALK, ATVI, OGN, SEDG, SEE]</td>\n",
 962 |        "    </tr>\n",
 963 |        "    <tr>\n",
 964 |        "      <th>2024-02-01</th>\n",
 965 |        "      <td>[DAY]</td>\n",
 966 |        "      <td>[CDAY]</td>\n",
 967 |        "    </tr>\n",
 968 |        "    <tr>\n",
 969 |        "      <th>2024-03-04</th>\n",
 970 |        "      <td>[DOC]</td>\n",
 971 |        "      <td>[PEAK]</td>\n",
 972 |        "    </tr>\n",
 973 |        "    <tr>\n",
 974 |        "      <th>2024-03-18</th>\n",
 975 |        "      <td>[DECK, SMCI]</td>\n",
 976 |        "      <td>[WHR, ZION]</td>\n",
 977 |        "    </tr>\n",
 978 |        "    <tr>\n",
 979 |        "      <th>2024-03-25</th>\n",
 980 |        "      <td>[CPAY]</td>\n",
 981 |        "      <td>[FLT]</td>\n",
 982 |        "    </tr>\n",
 983 |        "    <tr>\n",
 984 |        "      <th>2024-04-03</th>\n",
 985 |        "      <td>[GEV, SOLV]</td>\n",
 986 |        "      <td>[VFC, XRAY]</td>\n",
 987 |        "    </tr>\n",
 988 |        "    <tr>\n",
 989 |        "      <th>2024-05-08</th>\n",
 990 |        "      <td>[VST]</td>\n",
 991 |        "      <td>[PXD]</td>\n",
 992 |        "    </tr>\n",
 993 |        "    <tr>\n",
 994 |        "      <th>2024-06-24</th>\n",
 995 |        "      <td>[CRWD, GDDY, KKR]</td>\n",
 996 |        "      <td>[CMA, ILMN, RHI]</td>\n",
 997 |        "    </tr>\n",
 998 |        "    <tr>\n",
 999 |        "      <th>2024-07-08</th>\n",
1000 |        "      <td>[SW]</td>\n",
1001 |        "      <td>[WRK]</td>\n",
1002 |        "    </tr>\n",
1003 |        "    <tr>\n",
1004 |        "      <th>2024-09-23</th>\n",
1005 |        "      <td>[DELL, ERIE, PLTR]</td>\n",
1006 |        "      <td>[AAL, BIO, ETSY]</td>\n",
1007 |        "    </tr>\n",
1008 |        "    <tr>\n",
1009 |        "      <th>2024-09-30</th>\n",
1010 |        "      <td>[AMTM]</td>\n",
1011 |        "      <td>[]</td>\n",
1012 |        "    </tr>\n",
1013 |        "    <tr>\n",
1014 |        "      <th>2024-10-01</th>\n",
1015 |        "      <td>[]</td>\n",
1016 |        "      <td>[BBWI]</td>\n",
1017 |        "    </tr>\n",
1018 |        "    <tr>\n",
1019 |        "      <th>2024-11-26</th>\n",
1020 |        "      <td>[TPL]</td>\n",
1021 |        "      <td>[MRO]</td>\n",
1022 |        "    </tr>\n",
1023 |        "    <tr>\n",
1024 |        "      <th>2024-12-23</th>\n",
1025 |        "      <td>[APO, LII, WDAY]</td>\n",
1026 |        "      <td>[AMTM, CTLT, QRVO]</td>\n",
1027 |        "    </tr>\n",
1028 |        "  </tbody>\n",
1029 |        "</table>\n",
1030 |        "</div>"
1031 |       ],
1032 |       "text/plain": [
1033 |        "                                      add                       remove\n",
1034 |        "date                                                                  \n",
1035 |        "2019-01-18                          [TFX]                        [PCG]\n",
1036 |        "2019-02-15                          [ATO]                        [NFX]\n",
1037 |        "2019-02-27                          [WAB]                         [GT]\n",
1038 |        "2019-04-02                          [DOW]                        [BHF]\n",
1039 |        "2019-06-01                          [LHX]                        [HRS]\n",
1040 |        "2019-06-03                     [CTVA, DD]                  [DWDP, FLR]\n",
1041 |        "2019-06-07                         [AMCR]                        [MAT]\n",
1042 |        "2019-07-01                         [MKTX]                        [LLL]\n",
1043 |        "2019-07-15                         [TMUS]                        [RHT]\n",
1044 |        "2019-08-08                           [GL]                        [TMK]\n",
1045 |        "2019-08-09                    [IEX, LDOS]                    [APC, FL]\n",
1046 |        "2019-09-23                          [CDW]                        [TSS]\n",
1047 |        "2019-09-26                          [NVR]                        [JEF]\n",
1048 |        "2019-10-03                          [LVS]                       [NKTR]\n",
1049 |        "2019-10-18                          [BKR]                       [BHGE]\n",
1050 |        "2019-11-05                   [NLOK, PEAK]                  [HCP, SYMC]\n",
1051 |        "2019-11-21                          [NOW]                       [CELG]\n",
1052 |        "2019-12-05                    [VIAC, WRB]                  [CBS, VIAB]\n",
1053 |        "2019-12-09                    [ODFL, TFC]                   [BBT, STI]\n",
1054 |        "2019-12-10                            [J]                        [JEC]\n",
1055 |        "2019-12-23               [LYV, STE, ZBRA]             [AMG, MAC, TRIP]\n",
1056 |        "2020-01-28                         [PAYC]                        [WCG]\n",
1057 |        "2020-03-03                           [TT]                        [XEC]\n",
1058 |        "2020-04-03              [CARR, OTIS, RTX]                        [UTX]\n",
1059 |        "2020-04-06                          [HWM]               [ARNC, M, RTN]\n",
1060 |        "2020-05-12                    [DPZ, DXCM]                  [AGN, CPRI]\n",
1061 |        "2020-05-22                          [WST]                         [HP]\n",
1062 |        "2020-06-22                [BIO, TDY, TYL]              [ADS, HOG, JWN]\n",
1063 |        "2020-09-18                         [LUMN]                        [CTL]\n",
1064 |        "2020-09-21              [CTLT, ETSY, TER]             [COTY, HRB, KSS]\n",
1065 |        "2020-10-07                         [POOL]                       [ETFC]\n",
1066 |        "2020-10-12                          [VNT]                        [NBL]\n",
1067 |        "2020-11-17                         [VTRS]                        [MYL]\n",
1068 |        "2020-12-21                         [TSLA]                        [AIV]\n",
1069 |        "2021-01-07                         [ENPH]                        [TIF]\n",
1070 |        "2021-01-21                         [TRMB]                        [CXO]\n",
1071 |        "2021-02-12                         [MPWR]                        [FTI]\n",
1072 |        "2021-03-22        [CZR, GNRC, NXPI, PENN]         [FLS, SLG, VNT, XRX]\n",
1073 |        "2021-04-20                          [PTC]                        [VAR]\n",
1074 |        "2021-05-14                          [CRL]                       [FLIR]\n",
1075 |        "2021-06-04                          [OGN]                        [HFC]\n",
1076 |        "2021-07-21                         [MRNA]                       [ALXN]\n",
1077 |        "2021-08-03                         [BBWI]                         [LB]\n",
1078 |        "2021-08-30                         [TECH]                       [MXIM]\n",
1079 |        "2021-09-20              [BRO, CDAY, MTCH]             [NOV, PRGO, UNM]\n",
1080 |        "2021-10-04                         [CTRA]                        [COG]\n",
1081 |        "2021-12-14                         [EPAM]                        [KSU]\n",
1082 |        "2021-12-20              [FDS, SBNY, SEDG]               [HBI, LEG, WU]\n",
1083 |        "2022-01-20                          [WTW]                       [WLTW]\n",
1084 |        "2022-02-02                          [CEG]                        [GPS]\n",
1085 |        "2022-02-15                         [NDSN]                       [XLNX]\n",
1086 |        "2022-02-17                         [PARA]                       [VIAC]\n",
1087 |        "2022-03-02                          [MOH]                       [INFO]\n",
1088 |        "2022-04-04                          [CPT]                       [PBCT]\n",
1089 |        "2022-04-11                          [WBD]               [DISCA, DISCK]\n",
1090 |        "2022-05-10                         [BALL]                        [BLL]\n",
1091 |        "2022-06-08                         [VICI]                       [CERN]\n",
1092 |        "2022-06-09                         [META]                         [FB]\n",
1093 |        "2022-06-21                      [KDP, ON]              [IPGP, UA, UAA]\n",
1094 |        "2022-06-28                          [ELV]                       [ANTM]\n",
1095 |        "2022-09-19                   [CSGP, INVH]                  [PENN, PVH]\n",
1096 |        "2022-10-03                     [EQT, PCG]                  [CTXS, DRE]\n",
1097 |        "2022-10-12                         [TRGP]                       [NLSN]\n",
1098 |        "2022-11-01                         [ACGL]                       [TWTR]\n",
1099 |        "2022-11-08                          [GEN]                       [NLOK]\n",
1100 |        "2022-12-19                         [FSLR]                       [FBHS]\n",
1101 |        "2022-12-22                         [STLD]                       [ABMD]\n",
1102 |        "2023-01-04                         [GEHC]                        [VNO]\n",
1103 |        "2023-03-15                     [BG, PODD]                 [SBNY, SIVB]\n",
1104 |        "2023-03-20                         [FICO]                       [LUMN]\n",
1105 |        "2023-05-04                         [AXON]                        [FRC]\n",
1106 |        "2023-05-16                         [RVTY]                        [PKI]\n",
1107 |        "2023-06-07                           [FI]                       [FISV]\n",
1108 |        "2023-06-10                           [EG]                         [RE]\n",
1109 |        "2023-06-20                         [PANW]                       [DISH]\n",
1110 |        "2023-08-25                         [KVUE]                        [AAP]\n",
1111 |        "2023-08-30                          [COR]                        [ABC]\n",
1112 |        "2023-09-18                     [ABNB, BX]                   [LNC, NWL]\n",
1113 |        "2023-10-02                         [VLTO]                        [DXC]\n",
1114 |        "2023-10-18  [BLDR, HUBB, JBL, LULU, UBER]  [ALK, ATVI, OGN, SEDG, SEE]\n",
1115 |        "2024-02-01                          [DAY]                       [CDAY]\n",
1116 |        "2024-03-04                          [DOC]                       [PEAK]\n",
1117 |        "2024-03-18                   [DECK, SMCI]                  [WHR, ZION]\n",
1118 |        "2024-03-25                         [CPAY]                        [FLT]\n",
1119 |        "2024-04-03                    [GEV, SOLV]                  [VFC, XRAY]\n",
1120 |        "2024-05-08                          [VST]                        [PXD]\n",
1121 |        "2024-06-24              [CRWD, GDDY, KKR]             [CMA, ILMN, RHI]\n",
1122 |        "2024-07-08                           [SW]                        [WRK]\n",
1123 |        "2024-09-23             [DELL, ERIE, PLTR]             [AAL, BIO, ETSY]\n",
1124 |        "2024-09-30                         [AMTM]                           []\n",
1125 |        "2024-10-01                             []                       [BBWI]\n",
1126 |        "2024-11-26                          [TPL]                        [MRO]\n",
1127 |        "2024-12-23               [APO, LII, WDAY]           [AMTM, CTLT, QRVO]"
1128 |       ]
1129 |      },
1130 |      "execution_count": 29,
1131 |      "metadata": {},
1132 |      "output_type": "execute_result"
1133 |     }
1134 |    ],
1135 |    "source": [
1136 |     "# Read S&P 500 changes csv file.\n",
1137 |     "filename = 'sp500_changes_since_2019.csv'\n",
1138 |     "changes = get_table(filename)\n",
1139 |     "\n",
1140 |     "# Convert ticker column from csv to list, then sort.\n",
1141 |     "import pandas as pd\n",
1142 |     "\n",
1143 |     "changes['add'] = changes['add'].apply(lambda x: sorted(x.split(',')) if pd.notna(x) and x else [])\n",
1144 |     "changes['remove'] = changes['remove'].apply(lambda x: sorted(x.split(',')) if pd.notna(x) and x else [])\n",
1145 |     "changes"
1146 |    ]
1147 |   },
1148 |   {
1149 |    "cell_type": "code",
1150 |    "execution_count": 30,
1151 |    "metadata": {
1152 |     "ExecuteTime": {
1153 |      "end_time": "2020-04-21T03:37:52.045224Z",
1154 |      "start_time": "2020-04-21T03:37:51.785132Z"
1155 |     }
1156 |    },
1157 |    "outputs": [],
1158 |    "source": [
1159 |     "# Copy the last row in dataframe, modify for changes, then append.\n",
1160 |     "for change in changes.itertuples():\n",
1161 |     "\n",
1162 |     "    new_row = df.tail(1)\n",
1163 |     "    \n",
1164 |     "    tickers = list(new_row['tickers'].iloc[0])\n",
1165 |     "    tickers += change.add\n",
1166 |     "    tickers = list(set(tickers) - set(change.remove))\n",
1167 |     "    tickers = sorted(tickers)\n",
1168 |     "    \n",
1169 |     "    d = {'date':change.Index, 'tickers':[tickers]}\n",
1170 |     "    new_entry = pd.DataFrame(d)\n",
1171 |     "    new_entry.set_index('date', inplace=True)\n",
1172 |     "    df = pd.concat([df, new_entry])"
1173 |    ]
1174 |   },
1175 |   {
1176 |    "cell_type": "code",
1177 |    "execution_count": 31,
1178 |    "metadata": {
1179 |     "ExecuteTime": {
1180 |      "end_time": "2020-04-21T03:37:52.098965Z",
1181 |      "start_time": "2020-04-21T03:37:52.056979Z"
1182 |     },
1183 |     "scrolled": true
1184 |    },
1185 |    "outputs": [
1186 |     {
1187 |      "data": {
1188 |       "text/html": [
1189 |        "<div>\n",
1190 |        "<style scoped>\n",
1191 |        "    .dataframe tbody tr th:only-of-type {\n",
1192 |        "        vertical-align: middle;\n",
1193 |        "    }\n",
1194 |        "\n",
1195 |        "    .dataframe tbody tr th {\n",
1196 |        "        vertical-align: top;\n",
1197 |        "    }\n",
1198 |        "\n",
1199 |        "    .dataframe thead th {\n",
1200 |        "        text-align: right;\n",
1201 |        "    }\n",
1202 |        "</style>\n",
1203 |        "<table border=\"1\" class=\"dataframe\">\n",
1204 |        "  <thead>\n",
1205 |        "    <tr style=\"text-align: right;\">\n",
1206 |        "      <th></th>\n",
1207 |        "      <th>tickers</th>\n",
1208 |        "    </tr>\n",
1209 |        "    <tr>\n",
1210 |        "      <th>date</th>\n",
1211 |        "      <th></th>\n",
1212 |        "    </tr>\n",
1213 |        "  </thead>\n",
1214 |        "  <tbody>\n",
1215 |        "    <tr>\n",
1216 |        "      <th>2024-09-23</th>\n",
1217 |        "      <td>[A, AAPL, ABBV, ABNB, ABT, ACGL, ACN, ADBE, AD...</td>\n",
1218 |        "    </tr>\n",
1219 |        "    <tr>\n",
1220 |        "      <th>2024-09-30</th>\n",
1221 |        "      <td>[A, AAPL, ABBV, ABNB, ABT, ACGL, ACN, ADBE, AD...</td>\n",
1222 |        "    </tr>\n",
1223 |        "    <tr>\n",
1224 |        "      <th>2024-10-01</th>\n",
1225 |        "      <td>[A, AAPL, ABBV, ABNB, ABT, ACGL, ACN, ADBE, AD...</td>\n",
1226 |        "    </tr>\n",
1227 |        "    <tr>\n",
1228 |        "      <th>2024-11-26</th>\n",
1229 |        "      <td>[A, AAPL, ABBV, ABNB, ABT, ACGL, ACN, ADBE, AD...</td>\n",
1230 |        "    </tr>\n",
1231 |        "    <tr>\n",
1232 |        "      <th>2024-12-23</th>\n",
1233 |        "      <td>[A, AAPL, ABBV, ABNB, ABT, ACGL, ACN, ADBE, AD...</td>\n",
1234 |        "    </tr>\n",
1235 |        "  </tbody>\n",
1236 |        "</table>\n",
1237 |        "</div>"
1238 |       ],
1239 |       "text/plain": [
1240 |        "                                                      tickers\n",
1241 |        "date                                                         \n",
1242 |        "2024-09-23  [A, AAPL, ABBV, ABNB, ABT, ACGL, ACN, ADBE, AD...\n",
1243 |        "2024-09-30  [A, AAPL, ABBV, ABNB, ABT, ACGL, ACN, ADBE, AD...\n",
1244 |        "2024-10-01  [A, AAPL, ABBV, ABNB, ABT, ACGL, ACN, ADBE, AD...\n",
1245 |        "2024-11-26  [A, AAPL, ABBV, ABNB, ABT, ACGL, ACN, ADBE, AD...\n",
1246 |        "2024-12-23  [A, AAPL, ABBV, ABNB, ABT, ACGL, ACN, ADBE, AD..."
1247 |       ]
1248 |      },
1249 |      "execution_count": 31,
1250 |      "metadata": {},
1251 |      "output_type": "execute_result"
1252 |     }
1253 |    ],
1254 |    "source": [
1255 |     "df.tail()"
1256 |    ]
1257 |   },
1258 |   {
1259 |    "cell_type": "code",
1260 |    "execution_count": 32,
1261 |    "metadata": {
1262 |     "ExecuteTime": {
1263 |      "end_time": "2020-04-21T03:37:52.144923Z",
1264 |      "start_time": "2020-04-21T03:37:52.109637Z"
1265 |     }
1266 |    },
1267 |    "outputs": [
1268 |     {
1269 |      "data": {
1270 |       "text/plain": [
1271 |        "[]"
1272 |       ]
1273 |      },
1274 |      "execution_count": 32,
1275 |      "metadata": {},
1276 |      "output_type": "execute_result"
1277 |     }
1278 |    ],
1279 |    "source": [
1280 |     "# compare last row to current S&P500 list\n",
1281 |     "filename = 'sp500.csv'\n",
1282 |     "current = pd.read_csv(filename)\n",
1283 |     "current = list(current['Symbol'])\n",
1284 |     "last_entry = list(df['tickers'].iloc[-1])\n",
1285 |     "\n",
1286 |     "diff = list(set(current) - set(last_entry)) + list(set(last_entry) - set(current))\n",
1287 |     "diff"
1288 |    ]
1289 |   },
1290 |   {
1291 |    "cell_type": "code",
1292 |    "execution_count": 33,
1293 |    "metadata": {
1294 |     "ExecuteTime": {
1295 |      "end_time": "2020-04-21T03:37:52.235860Z",
1296 |      "start_time": "2020-04-21T03:37:52.153035Z"
1297 |     }
1298 |    },
1299 |    "outputs": [
1300 |     {
1301 |      "data": {
1302 |       "text/html": [
1303 |        "<div>\n",
1304 |        "<style scoped>\n",
1305 |        "    .dataframe tbody tr th:only-of-type {\n",
1306 |        "        vertical-align: middle;\n",
1307 |        "    }\n",
1308 |        "\n",
1309 |        "    .dataframe tbody tr th {\n",
1310 |        "        vertical-align: top;\n",
1311 |        "    }\n",
1312 |        "\n",
1313 |        "    .dataframe thead th {\n",
1314 |        "        text-align: right;\n",
1315 |        "    }\n",
1316 |        "</style>\n",
1317 |        "<table border=\"1\" class=\"dataframe\">\n",
1318 |        "  <thead>\n",
1319 |        "    <tr style=\"text-align: right;\">\n",
1320 |        "      <th></th>\n",
1321 |        "      <th>tickers</th>\n",
1322 |        "    </tr>\n",
1323 |        "    <tr>\n",
1324 |        "      <th>date</th>\n",
1325 |        "      <th></th>\n",
1326 |        "    </tr>\n",
1327 |        "  </thead>\n",
1328 |        "  <tbody>\n",
1329 |        "    <tr>\n",
1330 |        "      <th>1996-01-02</th>\n",
1331 |        "      <td>AAL,AAMRQ,AAPL,ABI,ABS,ABT,ABX,ACKH,ACV,ADM,AD...</td>\n",
1332 |        "    </tr>\n",
1333 |        "    <tr>\n",
1334 |        "      <th>1996-01-03</th>\n",
1335 |        "      <td>AAL,AAMRQ,AAPL,ABI,ABS,ABT,ABX,ACKH,ACV,ADM,AD...</td>\n",
1336 |        "    </tr>\n",
1337 |        "    <tr>\n",
1338 |        "      <th>1996-01-04</th>\n",
1339 |        "      <td>AAL,AAMRQ,AAPL,ABI,ABS,ABT,ABX,ACKH,ACV,ADM,AD...</td>\n",
1340 |        "    </tr>\n",
1341 |        "    <tr>\n",
1342 |        "      <th>1996-01-10</th>\n",
1343 |        "      <td>AAL,AAMRQ,AAPL,ABI,ABS,ABT,ABX,ACKH,ACV,ADM,AD...</td>\n",
1344 |        "    </tr>\n",
1345 |        "    <tr>\n",
1346 |        "      <th>1996-01-11</th>\n",
1347 |        "      <td>AAL,AAMRQ,AAPL,ABI,ABS,ABT,ABX,ACKH,ACV,ADM,AD...</td>\n",
1348 |        "    </tr>\n",
1349 |        "  </tbody>\n",
1350 |        "</table>\n",
1351 |        "</div>"
1352 |       ],
1353 |       "text/plain": [
1354 |        "                                                      tickers\n",
1355 |        "date                                                         \n",
1356 |        "1996-01-02  AAL,AAMRQ,AAPL,ABI,ABS,ABT,ABX,ACKH,ACV,ADM,AD...\n",
1357 |        "1996-01-03  AAL,AAMRQ,AAPL,ABI,ABS,ABT,ABX,ACKH,ACV,ADM,AD...\n",
1358 |        "1996-01-04  AAL,AAMRQ,AAPL,ABI,ABS,ABT,ABX,ACKH,ACV,ADM,AD...\n",
1359 |        "1996-01-10  AAL,AAMRQ,AAPL,ABI,ABS,ABT,ABX,ACKH,ACV,ADM,AD...\n",
1360 |        "1996-01-11  AAL,AAMRQ,AAPL,ABI,ABS,ABT,ABX,ACKH,ACV,ADM,AD..."
1361 |       ]
1362 |      },
1363 |      "execution_count": 33,
1364 |      "metadata": {},
1365 |      "output_type": "execute_result"
1366 |     }
1367 |    ],
1368 |    "source": [
1369 |     "# Convert tickers column back to csv.\n",
1370 |     "df['tickers'] = df['tickers'].apply(lambda x: \",\".join(x))\n",
1371 |     "df.head()"
1372 |    ]
1373 |   },
1374 |   {
1375 |    "cell_type": "code",
1376 |    "execution_count": 34,
1377 |    "metadata": {
1378 |     "ExecuteTime": {
1379 |      "end_time": "2020-04-21T03:37:52.430487Z",
1380 |      "start_time": "2020-04-21T03:37:52.246982Z"
1381 |     }
1382 |    },
1383 |    "outputs": [],
1384 |    "source": [
1385 |     "now = datetime.now()\n",
1386 |     "dt_string = now.strftime('%m-%d-%Y') # mm-dd-YYYY\n",
1387 |     "filename = 'S&P 500 Historical Components & Changes({}).csv'.format(dt_string)\n",
1388 |     "df.to_csv(filename)"
1389 |    ]
1390 |   }
1391 |  ],
1392 |  "metadata": {
1393 |   "kernelspec": {
1394 |    "display_name": "Python 3 (ipykernel)",
1395 |    "language": "python",
1396 |    "name": "python3"
1397 |   },
1398 |   "language_info": {
1399 |    "codemirror_mode": {
1400 |     "name": "ipython",
1401 |     "version": 3
1402 |    },
1403 |    "file_extension": ".py",
1404 |    "mimetype": "text/x-python",
1405 |    "name": "python",
1406 |    "nbconvert_exporter": "python",
1407 |    "pygments_lexer": "ipython3",
1408 |    "version": "3.10.12"
1409 |   },
1410 |   "latex_envs": {
1411 |    "LaTeX_envs_menu_present": true,
1412 |    "autoclose": false,
1413 |    "autocomplete": true,
1414 |    "bibliofile": "biblio.bib",
1415 |    "cite_by": "apalike",
1416 |    "current_citInitial": 1,
1417 |    "eqLabelWithNumbers": true,
1418 |    "eqNumInitial": 1,
1419 |    "hotkeys": {
1420 |     "equation": "Ctrl-E",
1421 |     "itemize": "Ctrl-I"
1422 |    },
1423 |    "labels_anchors": false,
1424 |    "latex_user_defs": false,
1425 |    "report_style_numbering": false,
1426 |    "user_envs_cfg": false
1427 |   }
1428 |  },
1429 |  "nbformat": 4,
1430 |  "nbformat_minor": 4
1431 | }
1432 | 


--------------------------------------------------------------------------------
/sp500_ticker_start_end.csv:
--------------------------------------------------------------------------------
   1 | ticker,start_date,end_date
   2 | A,2000-06-05,
   3 | AABA,1999-12-08,2017-06-19
   4 | AAL,1996-01-02,1997-01-15
   5 | AAL,2015-03-23,2024-09-23
   6 | AAMRQ,1996-01-02,2003-03-14
   7 | AAP,2015-07-09,2023-08-25
   8 | AAPL,1996-01-02,
   9 | ABBV,2013-01-02,
  10 | ABC,2001-08-30,2023-08-30
  11 | ABI,1996-01-02,2008-11-24
  12 | ABKFQ,2000-12-11,2008-06-11
  13 | ABMD,2018-05-31,2022-12-22
  14 | ABNB,2023-09-18,
  15 | ABS,1996-01-02,2006-06-02
  16 | ABT,1996-01-02,
  17 | ABX,1996-01-02,2002-07-22
  18 | ACAS,2007-07-09,2009-03-04
  19 | ACGL,2022-11-01,
  20 | ACKH,1996-01-02,2000-11-17
  21 | ACN,2011-07-06,
  22 | ACS,2004-04-02,2010-02-08
  23 | ACV,1996-01-02,2006-11-17
  24 | ADBE,1997-05-06,
  25 | ADCT,1999-08-02,2007-07-02
  26 | ADI,1999-10-12,
  27 | ADM,1996-01-02,
  28 | ADP,1996-01-02,
  29 | ADS,2013-12-23,2020-06-22
  30 | ADSK,1996-01-02,
  31 | ADT,2012-10-02,2016-05-02
  32 | AEE,1996-01-02,
  33 | AEP,1996-01-02,
  34 | AES,1998-10-02,
  35 | AET,1996-01-02,2018-11-29
  36 | AFL,1999-05-28,
  37 | AFS.A,1998-04-08,2000-12-01
  38 | AGC,1996-01-02,2001-08-29
  39 | AGN,1996-01-02,2020-05-12
  40 | AHM,1996-01-02,1998-10-01
  41 | AIG,1996-01-02,
  42 | AIT,1996-01-02,1999-10-11
  43 | AIV,2003-03-14,2020-12-21
  44 | AIZ,2007-04-10,
  45 | AJG,2016-05-31,
  46 | AKAM,2007-07-12,
  47 | AKS,2008-07-01,2011-12-19
  48 | AL,1996-01-02,2002-07-22
  49 | ALB,2016-07-01,
  50 | ALGN,2017-06-19,
  51 | ALK,2016-05-13,2023-10-18
  52 | ALL,1996-01-02,
  53 | ALLE,2013-12-02,
  54 | ALTR,2000-04-18,2015-12-28
  55 | ALXN,2012-05-25,2021-07-21
  56 | AM,1996-01-02,2004-05-03
  57 | AMAT,1996-01-02,
  58 | AMCC,2001-01-02,2006-05-18
  59 | AMCR,2019-06-07,
  60 | AMD,1996-01-02,2013-09-23
  61 | AMD,2017-03-20,
  62 | AME,2013-09-23,
  63 | AMG,2014-07-01,2019-12-23
  64 | AMGN,1996-01-02,
  65 | AMH,1996-01-02,1997-09-15
  66 | AMP,1996-01-02,1999-04-05
  67 | AMP,2005-10-03,
  68 | AMT,2007-11-19,
  69 | AMTM,2024-09-30,2024-12-23
  70 | AMZN,2005-11-21,
  71 | AN,1996-01-02,1999-01-04
  72 | AN,2003-02-24,2017-08-08
  73 | ANDV,2007-09-27,2018-10-01
  74 | ANDW,1996-01-02,2006-10-02
  75 | ANET,2018-08-28,
  76 | ANF,2007-03-29,2013-12-23
  77 | ANRZQ,2011-06-02,2012-10-02
  78 | ANSS,2017-06-19,
  79 | ANTM,2002-07-25,2022-06-28
  80 | ANV,1996-01-02,1999-04-12
  81 | AON,1996-04-23,
  82 | AOS,2017-07-26,
  83 | APA,1997-07-28,
  84 | APC,1997-07-28,2019-08-09
  85 | APCC,2000-06-01,2007-02-15
  86 | APD,1996-01-02,
  87 | APH,2008-09-30,
  88 | APO,2024-12-23,
  89 | APOL,2002-05-15,2013-07-01
  90 | APTV,2012-12-24,
  91 | AR,1996-01-02,1999-10-27
  92 | ARC,1996-01-02,2000-04-18
  93 | ARE,2017-03-20,
  94 | ARG,2009-09-09,2016-05-23
  95 | ARNC,1996-01-02,2020-04-06
  96 | AS,1996-01-02,1998-11-24
  97 | ASC,1996-01-02,1999-06-24
  98 | ASH,1996-01-02,2008-11-14
  99 | ASN,2004-12-20,2007-10-08
 100 | ASND,1998-06-12,1999-06-25
 101 | ASO,1999-03-10,2006-11-06
 102 | AT,1996-01-02,2007-11-19
 103 | ATGE,2009-06-09,2012-10-01
 104 | ATI,1996-01-02,2015-07-02
 105 | ATO,2019-02-15,
 106 | ATVI,2015-08-31,2023-10-18
 107 | AV,2000-10-02,2007-10-26
 108 | AVB,2007-01-10,
 109 | AVGO,2014-05-08,
 110 | AVP,1996-01-02,2015-03-23
 111 | AVY,1996-01-02,
 112 | AW,1999-08-02,2008-12-05
 113 | AWE,2001-07-09,2004-10-27
 114 | AWK,2016-03-04,
 115 | AXON,2023-05-04,
 116 | AXP,1996-01-02,
 117 | AYE,2000-12-11,2011-02-28
 118 | AYI,2016-05-03,2018-06-18
 119 | AZA.A,1996-01-02,2001-06-25
 120 | AZO,1997-01-02,
 121 | BA,1996-01-02,
 122 | BAC,1996-01-02,
 123 | BALL,2022-05-10,
 124 | BAX,1996-01-02,
 125 | BAY,1996-02-12,1998-08-31
 126 | BBBY,1999-10-01,2017-07-26
 127 | BBI,1996-01-02,1998-01-12
 128 | BBT,1997-12-04,2019-12-09
 129 | BBWI,2021-08-03,2024-10-01
 130 | BBY,1999-06-30,
 131 | BC,1996-01-02,2008-06-23
 132 | BCO,1996-01-02,1996-01-22
 133 | BCR,1996-01-02,2017-12-29
 134 | BDK,1996-01-02,2010-03-15
 135 | BDX,1996-01-02,
 136 | BEAM,1996-01-02,2014-05-01
 137 | BEN,1998-04-29,
 138 | BEV,1996-01-02,1997-12-04
 139 | BF.B,1996-01-02,
 140 | BFI,1996-01-02,1999-08-02
 141 | BFO,1996-01-02,2000-10-03
 142 | BG,2023-03-15,
 143 | BGEN,2000-01-31,2003-11-13
 144 | BGG,1996-01-02,2001-04-03
 145 | BHF,2017-08-07,2019-04-02
 146 | BHGE,1996-01-02,2019-10-18
 147 | BHMSQ,1996-01-02,2000-12-11
 148 | BIG,1998-01-20,2013-02-14
 149 | BIIB,2003-11-13,
 150 | BIO,2020-06-22,2024-09-23
 151 | BJS,2002-05-15,2010-04-29
 152 | BK,1996-01-02,
 153 | BKB,1996-01-02,1999-10-01
 154 | BKNG,2009-11-06,
 155 | BKR,2019-10-18,
 156 | BLDR,2023-10-18,
 157 | BLK,2011-04-04,
 158 | BLL,1996-01-02,2022-05-10
 159 | BLS,1996-01-02,2007-01-03
 160 | BLY,1996-01-02,1996-12-19
 161 | BMC,1998-10-01,2013-09-11
 162 | BMET,1996-01-02,2007-07-12
 163 | BMGCA,1996-07-22,1999-08-09
 164 | BMS,1996-01-02,2014-12-05
 165 | BMY,1996-01-02,
 166 | BNI,1996-01-02,2010-02-16
 167 | BNL,1996-01-02,1998-07-01
 168 | BOAT,1996-01-02,1997-01-07
 169 | BOL,1996-01-02,2007-10-29
 170 | BR,1996-01-02,2006-04-03
 171 | BR,2018-06-18,
 172 | BRCM,2000-07-03,2016-02-01
 173 | BRK.B,2010-02-16,
 174 | BRL,2006-02-27,2008-12-23
 175 | BRO,2021-09-20,
 176 | BSC,1998-07-01,2008-06-02
 177 | BSX,1996-01-02,
 178 | BT,1996-01-02,1999-06-04
 179 | BTUUQ,2006-11-20,2014-09-22
 180 | BUD,1996-01-02,2008-11-18
 181 | BVSN,2000-11-06,2001-09-04
 182 | BWA,2011-12-19,
 183 | BX,2023-09-18,
 184 | BXLT,2015-07-01,2016-06-03
 185 | BXP,2006-04-03,
 186 | C,1996-01-02,
 187 | CA,1996-01-02,2018-11-06
 188 | CAG,1996-01-02,
 189 | CAH,1997-05-27,
 190 | CAL,1996-01-02,1996-07-22
 191 | CAM,2008-01-29,2016-04-04
 192 | CAR,1996-01-02,2006-08-01
 193 | CARR,2020-04-03,
 194 | CAT,1996-01-02,
 195 | CB,1996-01-02,
 196 | CBB,1996-01-02,1998-01-28
 197 | CBE,1996-01-02,2009-09-09
 198 | CBE,2011-11-23,2012-12-03
 199 | CBH,2006-06-06,2008-03-31
 200 | CBOE,2017-03-01,
 201 | CBRE,2006-11-10,
 202 | CBS,1996-01-02,2019-12-05
 203 | CBSS,2004-12-20,2007-09-07
 204 | CCB,1996-01-02,1996-02-12
 205 | CCE,1998-10-08,2016-05-31
 206 | CCEP,2016-01-04,2016-05-31
 207 | CCI,1996-01-02,1998-10-08
 208 | CCI,2012-03-13,
 209 | CCK,1996-01-02,2000-12-11
 210 | CCL,1998-12-22,
 211 | CCTYQ,1996-01-02,2008-03-31
 212 | CCU,1997-09-02,2008-07-31
 213 | CDAY,2021-09-20,2024-02-01
 214 | CDNS,2017-09-18,
 215 | CDW,2019-09-23,
 216 | CE,2001-04-02,2004-02-27
 217 | CE,2018-12-24,
 218 | CEG,1996-01-02,2012-03-13
 219 | CEG,2022-02-02,
 220 | CELG,2006-11-06,2019-11-21
 221 | CEN,1996-01-02,2001-04-02
 222 | CEPH,2008-11-17,2011-10-14
 223 | CERN,2010-04-30,2022-06-08
 224 | CF,2000-06-19,2004-09-01
 225 | CF,2008-08-27,
 226 | CFC,1997-06-18,2008-07-01
 227 | CFG,2016-02-01,
 228 | CFL,1996-01-02,1998-04-28
 229 | CFN,2009-09-01,2015-03-17
 230 | CG,1996-01-02,2000-11-02
 231 | CGP,1996-01-02,2001-01-30
 232 | CHA,1996-01-02,2000-06-19
 233 | CHD,2015-12-29,
 234 | CHIR,2000-11-24,2006-04-20
 235 | CHK,2006-03-03,2018-03-19
 236 | CHRS,1996-01-02,1998-04-08
 237 | CHRW,2007-03-02,
 238 | CHTR,2016-09-08,
 239 | CI,1996-01-02,
 240 | CIEN,2001-08-30,2009-12-21
 241 | CIN,1996-01-02,2006-04-03
 242 | CINF,1997-12-18,
 243 | CIT.A,2000-07-17,2001-06-04
 244 | CITGQ,2004-10-27,2009-07-27
 245 | CL,1996-01-02,
 246 | CLF,2009-12-21,2014-04-02
 247 | CLX,1996-01-02,
 248 | CMA,1996-01-02,2024-06-24
 249 | CMB,1996-01-02,1996-04-01
 250 | CMCSA,1996-01-02,
 251 | CMCSK,2015-09-21,2015-12-14
 252 | CME,2006-08-11,
 253 | CMG,2011-04-28,
 254 | CMI,1996-01-02,
 255 | CMS,1999-05-03,
 256 | CMVT,1999-10-27,2007-02-01
 257 | CMX,2004-03-25,2007-03-23
 258 | CNC,1997-01-15,2002-07-25
 259 | CNC,2016-03-30,
 260 | CNG,1996-01-02,2000-01-31
 261 | CNP,1996-01-02,
 262 | CNW,1996-01-02,1996-12-03
 263 | CNX,2006-06-28,2016-03-04
 264 | CNXT,2000-01-31,2002-06-26
 265 | COC.B,1999-08-09,2002-09-03
 266 | COF,1998-07-01,
 267 | COG,2008-06-23,2021-10-04
 268 | COL,2001-07-02,2018-11-27
 269 | COMS,1996-01-02,2000-07-28
 270 | COO,2016-09-23,
 271 | COP,1996-01-02,
 272 | COR,2023-08-30,
 273 | COST,1996-01-02,
 274 | COTY,2016-10-03,2020-09-21
 275 | COV,1996-01-02,1996-08-16
 276 | COV,2007-07-02,2009-06-05
 277 | COV,2011-03-01,2015-01-27
 278 | CPAY,2024-03-25,
 279 | CPB,1996-01-02,
 280 | CPGX,2015-07-02,2016-07-01
 281 | CPNLQ,2000-12-01,2005-12-02
 282 | CPQ,1996-01-02,2002-05-06
 283 | CPRI,2016-01-04,2020-05-12
 284 | CPRT,2018-07-02,
 285 | CPT,2022-04-04,
 286 | CPWR,1999-01-04,2012-01-03
 287 | CR,1996-01-02,2004-12-20
 288 | CRL,2021-05-14,
 289 | CRM,2008-09-15,
 290 | CRR,1996-01-02,1997-05-27
 291 | CRWD,2024-06-24,
 292 | CSCO,1996-01-02,
 293 | CSE,1996-01-22,1999-11-15
 294 | CSGP,2022-09-19,
 295 | CSR,1996-01-02,2000-06-16
 296 | CSRA,2015-11-30,2018-04-04
 297 | CSX,1996-01-02,
 298 | CTAS,2001-03-01,
 299 | CTB,1996-01-02,2006-07-18
 300 | CTL,1999-03-25,2020-09-18
 301 | CTLT,2020-09-21,2024-12-23
 302 | CTRA,2021-10-04,
 303 | CTSH,2006-11-17,
 304 | CTVA,2019-06-03,
 305 | CTX,1996-01-02,2009-08-19
 306 | CTXS,1999-12-01,2022-10-03
 307 | CVC,2010-12-20,2016-06-21
 308 | CVG,2000-06-13,2009-12-21
 309 | CVH,2005-08-30,2013-05-07
 310 | CVS,1996-01-02,
 311 | CVX,1996-01-02,
 312 | CXO,2016-02-22,2021-01-21
 313 | CYM,1996-01-02,1999-10-18
 314 | CYR,1996-01-02,1996-03-28
 315 | CZR,2021-03-22,
 316 | D,1996-01-02,
 317 | DAL,2013-09-11,
 318 | DALRQ,1996-01-02,2005-08-19
 319 | DAY,2024-02-01,
 320 | DCNAQ,1996-01-02,2006-03-03
 321 | DD,1996-01-02,2017-09-01
 322 | DD,2019-06-03,
 323 | DDR,2007-03-23,2009-03-30
 324 | DDS,1996-01-02,2008-10-22
 325 | DE,1996-01-02,
 326 | DEC,1996-01-02,1998-06-12
 327 | DECK,2024-03-18,
 328 | DELL,1996-09-06,2013-10-29
 329 | DELL,2024-09-23,
 330 | DF,2006-04-03,2013-05-24
 331 | DFS,2007-07-02,
 332 | DG,1998-07-16,2007-07-09
 333 | DG,2012-12-03,
 334 | DGN,1996-01-02,1999-10-13
 335 | DGX,2002-12-12,
 336 | DHI,2005-07-05,
 337 | DHR,1998-11-18,
 338 | DI,1996-01-02,1998-09-30
 339 | DIGI,1996-01-02,1998-08-28
 340 | DIS,1996-01-02,
 341 | DISCA,2010-03-01,2022-04-11
 342 | DISCK,2014-08-07,2022-04-11
 343 | DISH,2017-03-13,2023-06-20
 344 | DJ,1996-01-02,2007-12-14
 345 | DLR,2016-05-18,
 346 | DLTR,2011-12-19,
 347 | DLX,1996-01-02,2004-12-20
 348 | DNB,2008-12-02,2017-04-05
 349 | DNR,2009-04-02,2015-03-23
 350 | DO,2009-02-26,2016-10-03
 351 | DOC,2024-03-04,
 352 | DOV,1996-01-02,
 353 | DOW,1996-01-02,2017-09-01
 354 | DOW,2019-04-02,
 355 | DPHIQ,1999-05-28,2005-10-11
 356 | DPZ,2020-05-12,
 357 | DRE,2017-07-26,2022-10-03
 358 | DRI,1996-01-02,
 359 | DTE,1996-01-02,
 360 | DTV,2006-12-04,2015-07-27
 361 | DUK,1996-01-02,
 362 | DVA,2008-07-31,
 363 | DVN,2000-08-30,
 364 | DWD,1996-01-02,1997-06-02
 365 | DWDP,2017-09-01,2019-06-03
 366 | DXC,1996-01-02,2015-12-01
 367 | DXC,2017-04-04,2023-10-02
 368 | DXCM,2020-05-12,
 369 | DYN,2000-10-03,2009-12-21
 370 | EA,2002-07-22,
 371 | EBAY,2002-07-22,
 372 | EC,1996-01-02,2006-06-06
 373 | ECH,1996-01-02,1998-07-10
 374 | ECL,1996-01-02,
 375 | ECO,1996-01-02,1998-01-20
 376 | ED,1996-01-02,
 377 | EDS,1998-08-11,2008-08-26
 378 | EFU,1996-01-02,2000-11-02
 379 | EFX,1997-06-19,
 380 | EG,2023-06-10,
 381 | EHC,1997-01-08,2003-03-21
 382 | EIX,1996-01-02,
 383 | EKDKQ,1996-01-02,2010-12-20
 384 | EL,2006-01-05,
 385 | ELV,2022-06-28,
 386 | EMC,1996-03-28,2016-09-07
 387 | EMN,1996-01-02,
 388 | EMR,1996-01-02,
 389 | ENDP,2015-01-27,2017-03-02
 390 | ENPH,2021-01-07,
 391 | ENRNQ,1996-01-02,2001-11-30
 392 | ENS,1996-01-02,1997-08-06
 393 | EOG,2000-11-02,
 394 | EOP,2001-10-10,2007-02-12
 395 | EP,1999-10-26,2012-05-25
 396 | EPAM,2021-12-14,
 397 | EQ,2006-05-18,2009-07-01
 398 | EQIX,2015-03-23,
 399 | EQR,2001-12-03,
 400 | EQT,2008-12-19,2018-11-13
 401 | EQT,2022-10-03,
 402 | ERIE,2024-09-23,
 403 | ES,2009-03-17,
 404 | ESRX,2003-09-26,2018-12-21
 405 | ESS,2014-04-02,
 406 | ESV,2007-01-04,2009-12-23
 407 | ESV,2012-07-31,2016-03-30
 408 | ETFC,2004-04-01,2020-10-07
 409 | ETN,1996-01-02,
 410 | ETR,1996-01-02,
 411 | ETS,1996-01-02,2001-08-06
 412 | ETSY,2020-09-21,2024-09-23
 413 | EVHC,2016-12-02,2018-10-11
 414 | EVRG,2018-06-05,
 415 | EW,2011-04-01,
 416 | EXC,1996-01-02,
 417 | EXPD,2007-10-10,
 418 | EXPE,2007-10-02,
 419 | EXR,2016-01-19,
 420 | F,1996-01-02,
 421 | FANG,2018-12-03,
 422 | FAST,2008-09-15,
 423 | FB,2013-12-23,2022-06-09
 424 | FBF,1996-01-02,2004-04-01
 425 | FBHS,2016-06-24,2022-12-19
 426 | FBO,1996-01-02,1996-03-13
 427 | FCN,1996-01-02,1998-10-02
 428 | FCPT,2015-11-10,2015-11-17
 429 | FCX,1996-01-02,
 430 | FDC,1996-01-02,2007-09-25
 431 | FDO,2001-08-06,2015-07-07
 432 | FDS,2021-12-20,
 433 | FDX,1996-01-02,
 434 | FE,1996-01-02,
 435 | FFIV,2010-12-20,
 436 | FG,1996-01-02,1998-04-27
 437 | FHN,2002-05-06,2013-06-24
 438 | FI,2023-06-07,
 439 | FICO,2023-03-20,
 440 | FII,2003-04-16,2013-01-02
 441 | FIS,2006-11-10,
 442 | FISV,2001-04-02,2023-06-07
 443 | FITB,1996-03-08,
 444 | FJ,1996-01-02,2000-11-24
 445 | FL,1996-01-02,1999-01-04
 446 | FL,2016-04-04,2019-08-09
 447 | FLIR,2009-01-02,2021-05-14
 448 | FLMIQ,1996-01-02,1997-12-24
 449 | FLR,2000-12-22,2019-06-03
 450 | FLS,2008-10-02,2021-03-22
 451 | FLT,2018-06-20,2024-03-25
 452 | FLTWQ,1996-01-02,2000-01-31
 453 | FMC,1996-01-02,2002-01-02
 454 | FMC,2009-08-19,
 455 | FMCC,1996-01-02,2008-09-11
 456 | FMY,1998-07-10,1999-05-28
 457 | FNMA,1996-01-02,2008-09-11
 458 | FOSL,2012-04-04,2016-01-05
 459 | FOX,2015-09-21,
 460 | FOXA,2004-12-20,
 461 | FPC,1999-06-22,2000-12-01
 462 | FRC,2019-01-02,2023-05-04
 463 | FRO,1997-01-02,1999-09-29
 464 | FRT,2016-02-01,
 465 | FRX,2000-11-22,2014-07-01
 466 | FSH,2004-08-03,2006-11-10
 467 | FSL,2004-12-03,2006-12-04
 468 | FSLR,2009-10-16,2017-03-20
 469 | FSLR,2022-12-19,
 470 | FTI,2009-06-05,2021-02-12
 471 | FTL.A,1996-01-02,1999-10-01
 472 | FTNT,2018-10-11,
 473 | FTR,2001-02-27,2017-03-20
 474 | FTV,2016-07-05,
 475 | FWLT,1996-01-02,2000-01-31
 476 | G,1996-01-02,2005-10-03
 477 | GAPTQ,1996-01-02,2000-08-30
 478 | GAS,1996-01-02,2011-12-12
 479 | GAS,2011-12-13,2016-07-01
 480 | GD,1996-01-02,
 481 | GDDY,2024-06-24,
 482 | GDT,1996-12-19,2006-04-24
 483 | GDW,1996-01-02,2006-10-02
 484 | GE,1996-01-02,
 485 | GEHC,2023-01-04,
 486 | GEN,2022-11-08,
 487 | GENZ,2001-12-14,2011-04-04
 488 | GEV,2024-04-03,
 489 | GFS.A,1996-01-02,1998-07-16
 490 | GGP,2007-07-02,2008-11-13
 491 | GGP,2013-12-10,2018-08-28
 492 | GHC,2007-12-31,2014-09-22
 493 | GIDL,1996-01-02,1997-07-17
 494 | GILD,2004-07-01,
 495 | GIS,1996-01-02,
 496 | GL,2019-08-08,
 497 | GLD,1996-01-02,1997-05-06
 498 | GLK,1996-01-02,2005-07-05
 499 | GLW,1996-01-02,
 500 | GM,2013-06-07,
 501 | GMCR,2014-03-24,2016-03-03
 502 | GME,2007-12-14,2016-04-25
 503 | GNRC,2021-03-22,
 504 | GNT,1996-03-13,1998-07-01
 505 | GNW,2005-12-02,2015-11-18
 506 | GOOG,2014-04-03,
 507 | GOOGL,2006-04-03,
 508 | GP,1996-01-02,2005-12-20
 509 | GPC,1996-01-02,
 510 | GPN,2016-04-25,
 511 | GPS,1996-01-02,2022-02-02
 512 | GPU,1996-01-02,2001-11-07
 513 | GR,1996-01-02,2012-07-27
 514 | GRA,1996-01-02,2000-12-11
 515 | GRMN,2012-12-12,
 516 | GRN,1996-01-02,1998-12-22
 517 | GS,2002-07-22,
 518 | GSX,1996-01-02,1998-10-07
 519 | GT,1996-01-02,2019-02-27
 520 | GTE,1996-01-02,2000-07-03
 521 | GTW,1998-04-27,2006-08-01
 522 | GWF,1996-01-02,1997-07-02
 523 | GWW,1996-01-02,
 524 | GX,1999-09-29,2001-10-10
 525 | H,1996-01-02,2001-06-29
 526 | H,2006-08-01,2007-04-10
 527 | HAL,1996-01-02,
 528 | HAR,2006-02-01,2017-03-13
 529 | HAS,1996-01-02,
 530 | HBAN,1997-08-06,
 531 | HBI,2015-03-23,2021-12-20
 532 | HBOC,1997-10-23,1999-01-13
 533 | HCA,1996-01-02,2006-11-20
 534 | HCA,2015-01-27,
 535 | HCBK,2007-02-15,2015-11-02
 536 | HCP,2008-03-31,2019-11-05
 537 | HCR,1998-09-28,2007-11-09
 538 | HD,1996-01-02,
 539 | HDLM,1996-01-02,1996-03-08
 540 | HES,1996-01-02,
 541 | HET,1996-01-02,2008-01-29
 542 | HFC,2018-06-18,2021-06-04
 543 | HFS,1996-08-16,1997-12-18
 544 | HI,1996-01-02,2003-03-31
 545 | HIG,1996-01-02,
 546 | HII,2018-01-03,
 547 | HLT,1996-01-02,2007-10-25
 548 | HLT,2017-06-19,
 549 | HM,1996-01-02,2001-12-17
 550 | HMA,2001-11-07,2007-03-02
 551 | HNZ,1996-01-02,2013-06-07
 552 | HOG,2000-01-31,2020-06-22
 553 | HOLX,2016-03-30,
 554 | HON,1996-01-02,
 555 | HOT,2000-11-17,2016-09-23
 556 | HP,1996-01-02,1999-12-31
 557 | HP,2010-03-01,2020-05-22
 558 | HPC,1996-01-02,2008-11-14
 559 | HPE,2015-11-02,
 560 | HPH,1996-01-02,1999-06-09
 561 | HPQ,1996-01-02,
 562 | HRB,1996-01-02,2020-09-21
 563 | HRL,2009-03-04,
 564 | HRS,1996-01-02,1999-11-08
 565 | HRS,2008-09-22,2019-06-01
 566 | HSH,1996-01-02,2012-06-29
 567 | HSIC,2015-03-18,
 568 | HSP,2004-05-03,2015-09-03
 569 | HST,2007-03-20,
 570 | HSY,1996-01-02,
 571 | HUBB,2023-10-18,
 572 | HUM,1996-01-02,
 573 | HWM,2020-04-06,
 574 | I,1996-01-02,1996-04-01
 575 | IAC,2006-12-01,2008-08-21
 576 | IBM,1996-01-02,
 577 | ICE,2007-09-26,
 578 | IDXX,2017-01-05,
 579 | IEX,2019-08-09,
 580 | IFF,1996-01-02,
 581 | IGT,2001-09-04,2014-06-20
 582 | IKN,1996-01-02,2000-06-29
 583 | ILMN,2015-11-19,2024-06-24
 584 | IMNX,2001-09-21,2002-07-16
 585 | INCLF,1996-01-02,2002-07-22
 586 | INCY,2017-02-28,
 587 | INFO,2017-06-02,2022-03-02
 588 | INGR,1996-01-02,1997-07-28
 589 | INTC,1996-01-02,
 590 | INTU,2000-12-11,
 591 | INVH,2022-09-19,
 592 | IP,1996-01-02,
 593 | IPG,1996-01-02,
 594 | IPGP,2018-03-07,2022-06-21
 595 | IQV,2017-08-29,
 596 | IR,1996-01-02,2009-07-01
 597 | IR,2010-11-17,
 598 | IRM,2009-01-06,
 599 | ISRG,2008-06-02,
 600 | IT,2017-04-05,
 601 | ITT,1996-01-02,2011-11-01
 602 | ITW,1996-01-02,
 603 | IVZ,2008-08-21,
 604 | J,2019-12-10,
 605 | JAVA,1996-01-02,2010-01-27
 606 | JBHT,2015-07-01,
 607 | JBL,2001-01-30,2014-11-05
 608 | JBL,2023-10-18,
 609 | JCI,1996-01-02,
 610 | JCP,1996-01-02,2013-12-02
 611 | JEC,2007-10-26,2019-12-10
 612 | JEF,2007-08-27,2019-09-26
 613 | JH,1996-01-02,1998-04-01
 614 | JHF,2001-06-29,2004-04-29
 615 | JKHY,2018-11-13,
 616 | JNJ,1996-01-02,
 617 | JNPR,2006-06-02,
 618 | JNS,2000-07-13,2011-11-23
 619 | JNY,2001-12-17,2009-03-04
 620 | JOS,1996-01-02,2000-05-10
 621 | JOY,2011-02-28,2015-10-08
 622 | JP,1996-01-02,2006-04-03
 623 | JPM,1996-01-02,
 624 | JWN,1996-01-02,2020-06-22
 625 | K,1996-01-02,
 626 | KATE,1996-01-02,2008-12-02
 627 | KBH,1996-01-02,2009-12-21
 628 | KDP,2008-10-07,2018-07-02
 629 | KDP,2022-06-21,
 630 | KEY,1996-01-02,
 631 | KEYS,2018-11-06,
 632 | KG,2000-10-03,2010-12-20
 633 | KHC,2015-07-06,
 634 | KIM,2006-04-03,
 635 | KKR,2024-06-24,
 636 | KLAC,1997-09-15,
 637 | KM,1996-01-02,2002-01-17
 638 | KMB,1996-01-02,
 639 | KMG,1996-01-02,2006-08-11
 640 | KMI,2000-12-12,2007-05-31
 641 | KMI,2012-05-25,
 642 | KMX,2010-06-28,
 643 | KO,1996-01-02,
 644 | KORS,2013-11-13,2018-09-19
 645 | KR,1996-01-02,
 646 | KRB,1996-01-02,2006-01-03
 647 | KRFT,2012-10-02,2015-07-06
 648 | KRI,1996-01-02,2006-06-28
 649 | KSE,2000-08-21,2007-08-27
 650 | KSS,1998-08-14,2020-09-21
 651 | KSU,1999-04-05,2000-07-13
 652 | KSU,2013-05-24,2021-12-14
 653 | KVUE,2023-08-25,
 654 | KWP,1996-01-02,1999-11-16
 655 | L,1996-01-02,
 656 | LB,1996-01-02,2021-08-03
 657 | LDG,1996-01-02,2001-07-02
 658 | LDOS,2009-12-21,2013-09-23
 659 | LDOS,2019-08-09,
 660 | LDW.B,1996-01-02,1999-12-08
 661 | LEG,1999-10-18,2021-12-20
 662 | LEHMQ,1998-01-12,2008-09-17
 663 | LEN,2005-10-04,
 664 | LH,2004-11-01,
 665 | LHX,2019-06-01,
 666 | LIFE,2008-11-24,2014-01-24
 667 | LII,2024-12-23,
 668 | LIN,2018-11-06,
 669 | LKQ,2016-05-23,
 670 | LLL,2004-12-01,2019-07-01
 671 | LLTC,2000-04-03,2017-03-13
 672 | LLX,1996-01-02,1997-10-23
 673 | LLY,1996-01-02,
 674 | LM,2006-04-24,2016-12-02
 675 | LMT,1996-01-02,
 676 | LNC,1996-01-02,2023-09-18
 677 | LNT,2016-07-01,
 678 | LO,2008-06-11,2015-06-12
 679 | LOR,1996-01-02,1996-04-23
 680 | LOW,1996-01-02,
 681 | LPX,1996-01-02,2006-11-10
 682 | LRCX,2012-06-05,
 683 | LSI,1996-01-02,2014-05-07
 684 | LU,1996-10-01,2006-12-01
 685 | LUB,1996-01-02,1997-01-02
 686 | LULU,2023-10-18,
 687 | LUMN,2020-09-18,2023-03-20
 688 | LUV,1996-01-02,
 689 | LVLT,2014-11-05,2017-10-13
 690 | LVS,2019-10-03,
 691 | LW,2018-12-03,
 692 | LXK,1999-08-13,2012-10-01
 693 | LYB,2012-09-05,
 694 | LYV,2019-12-23,
 695 | M,1996-01-02,2020-04-06
 696 | MA,2008-07-18,
 697 | MAA,2016-12-02,
 698 | MAC,2013-05-09,2019-12-23
 699 | MAR,1998-05-21,
 700 | MAS,1996-01-02,
 701 | MAT,1996-01-02,2019-06-07
 702 | MAY,1996-01-02,2005-08-29
 703 | MBI,1996-12-03,2009-12-21
 704 | MCD,1996-01-02,
 705 | MCHP,2007-09-07,
 706 | MCIC,1996-01-02,1998-09-15
 707 | MCK,1999-01-13,
 708 | MCO,1996-01-02,
 709 | MD,1996-01-02,1997-08-01
 710 | MDLZ,2007-04-02,
 711 | MDP,1996-01-02,2011-01-04
 712 | MDR,1996-01-02,2003-08-20
 713 | MDT,1996-01-02,
 714 | MEA,1996-01-02,2002-01-30
 715 | MEDI,2000-06-16,2007-06-01
 716 | MEE,1996-01-02,2000-12-22
 717 | MEE,2008-06-23,2011-06-02
 718 | MEL,1996-01-02,2007-07-02
 719 | MER,1996-01-02,2009-01-02
 720 | MERQ,2000-06-29,2006-01-04
 721 | MET,2000-12-11,
 722 | META,2022-06-09,
 723 | MFE,2008-12-23,2011-03-01
 724 | MGM,2017-07-26,
 725 | MHK,2013-12-23,
 726 | MHS,2003-08-20,2012-04-02
 727 | MI,2002-02-11,2011-07-06
 728 | MII,1996-01-02,1999-06-22
 729 | MIL,1996-01-02,2010-07-15
 730 | MIR,1997-08-07,2000-06-01
 731 | MIR,2001-04-03,2003-07-17
 732 | MJN,2009-12-21,2017-06-15
 733 | MKC,2003-03-21,
 734 | MKG,1996-01-02,2000-10-18
 735 | MKTX,2019-07-01,
 736 | MLM,2014-07-02,
 737 | MMC,1996-01-02,
 738 | MMI,2011-01-04,2012-05-22
 739 | MMM,1996-01-02,
 740 | MNK,2014-08-19,2017-07-26
 741 | MNR,1996-01-02,1998-09-28
 742 | MNST,2012-06-29,
 743 | MO,1996-01-02,
 744 | MOB,1996-01-02,1999-12-01
 745 | MOH,2022-03-02,
 746 | MOLX,1999-12-01,2013-12-09
 747 | MON,2002-08-14,2018-06-07
 748 | MOS,2011-09-26,
 749 | MPC,2011-07-01,
 750 | MPWR,2021-02-12,
 751 | MRK,1996-01-02,
 752 | MRNA,2021-07-21,
 753 | MRO,1996-01-02,2024-11-26
 754 | MS,1996-01-02,
 755 | MSCI,2018-04-04,
 756 | MSFT,1996-01-02,
 757 | MSI,1996-01-02,
 758 | MST,1996-01-02,1998-08-14
 759 | MTB,2004-02-27,
 760 | MTCH,2021-09-20,
 761 | MTD,2016-09-06,
 762 | MTG,1996-07-19,2008-10-31
 763 | MTL,1998-02-23,1999-09-20
 764 | MTLQQ,1996-01-02,2009-06-03
 765 | MTW,2007-11-16,2009-09-01
 766 | MU,1996-01-02,
 767 | MUR,2005-08-15,2017-07-26
 768 | MWI,1996-01-02,1999-05-28
 769 | MWV,1996-01-02,2015-07-02
 770 | MWW,2001-06-04,2011-12-19
 771 | MXIM,2000-05-10,2007-09-27
 772 | MXIM,2018-12-03,2021-08-30
 773 | MYG,1996-01-02,2006-04-03
 774 | MYL,2004-04-23,2020-11-17
 775 | MZIAQ,1996-01-02,2000-06-29
 776 | NAE,1996-01-02,1997-08-07
 777 | NAV,1996-01-02,2006-12-20
 778 | NAVI,2014-05-01,2018-06-05
 779 | NBL,2007-10-08,2020-10-12
 780 | NBR,2000-10-18,2015-03-23
 781 | NC,1996-01-02,2000-06-05
 782 | NCC,1996-01-02,2009-01-02
 783 | NCE,1998-11-03,2000-08-21
 784 | NCLH,2017-10-13,
 785 | NCR,2000-01-04,2007-10-01
 786 | NDAQ,2008-10-22,
 787 | NDSN,2022-02-15,
 788 | NE,2001-01-16,2009-03-27
 789 | NE,2011-01-18,2015-07-20
 790 | NEE,1996-01-02,
 791 | NEM,1996-01-02,
 792 | NFB,2002-07-17,2006-12-01
 793 | NFLX,2010-12-20,
 794 | NFX,2010-12-20,2019-02-15
 795 | NGH,1998-09-16,2000-12-12
 796 | NI,2000-11-02,
 797 | NKE,1996-01-02,
 798 | NKTR,2018-03-19,2019-10-03
 799 | NLC,1996-01-02,1999-08-02
 800 | NLOK,2019-11-05,2022-11-08
 801 | NLSN,2013-07-09,2022-10-12
 802 | NLV,1996-04-01,2000-01-06
 803 | NMK,1996-01-02,2002-02-01
 804 | NOC,1996-01-02,
 805 | NOV,2005-03-14,2021-09-20
 806 | NOVL,1996-01-02,2011-04-28
 807 | NOW,2019-11-21,
 808 | NRG,2010-01-29,
 809 | NRTLQ,1996-01-02,2002-07-22
 810 | NSC,1996-01-02,
 811 | NSI,1996-01-02,2001-12-03
 812 | NSM,1996-01-02,2011-09-26
 813 | NTAP,1999-06-25,
 814 | NTRS,1998-01-30,
 815 | NUE,1996-01-02,
 816 | NVDA,2001-11-30,
 817 | NVLS,2000-06-19,2012-06-05
 818 | NVR,2019-09-26,
 819 | NWL,1996-01-02,2023-09-18
 820 | NWS,2015-09-21,
 821 | NWSA,2013-07-01,
 822 | NXPI,2021-03-22,
 823 | NXTL,1998-04-01,2005-08-15
 824 | NYN,1996-01-02,1997-08-15
 825 | NYT,1996-01-02,2010-12-20
 826 | NYX,2007-10-25,2013-11-13
 827 | O,2015-04-07,
 828 | OAT,1996-01-02,2001-08-03
 829 | ODFL,2019-12-09,
 830 | ODP,1999-06-24,2010-12-20
 831 | OGN,2021-06-04,2023-10-18
 832 | OI,1997-08-04,2000-12-11
 833 | OI,2009-01-02,2016-12-02
 834 | OK,1999-12-02,2001-04-02
 835 | OKE,1996-01-02,2001-08-30
 836 | OKE,2010-03-15,
 837 | OM,1996-01-02,1996-10-01
 838 | OMC,1997-12-24,
 839 | OMX,1996-01-02,2008-06-23
 840 | ON,2022-06-21,
 841 | ONE,1996-01-02,2004-07-01
 842 | ORCL,1996-01-02,
 843 | ORLY,2009-03-27,
 844 | ORX,1996-01-02,1999-03-01
 845 | OTIS,2020-04-03,
 846 | OWENQ,1996-01-02,2000-10-02
 847 | OXY,1996-01-02,
 848 | PAC,1996-01-02,1997-04-01
 849 | PALM,2000-07-28,2002-08-14
 850 | PANW,2023-06-20,
 851 | PARA,2022-02-17,
 852 | PAS,1996-01-02,1998-01-30
 853 | PAYC,2020-01-28,
 854 | PAYX,1998-10-01,
 855 | PBCT,2008-11-13,2022-04-04
 856 | PBG,2001-05-14,2010-03-01
 857 | PBI,1996-01-02,2017-03-01
 858 | PBY,1996-01-02,2000-04-03
 859 | PCAR,1996-01-02,
 860 | PCG,1996-01-02,2019-01-18
 861 | PCG,2022-10-03,
 862 | PCH,1996-01-02,2001-07-09
 863 | PCL,2002-01-17,2016-02-22
 864 | PCP,2007-06-01,2016-02-01
 865 | PCS,1998-11-24,2004-04-23
 866 | PD,1996-01-02,2007-03-20
 867 | PDCO,2005-10-11,2018-03-19
 868 | PDG,1996-01-02,2002-07-22
 869 | PEAK,2019-11-05,2024-03-04
 870 | PEG,1996-01-02,
 871 | PEL,1996-01-02,1997-06-19
 872 | PENN,2021-03-22,2022-09-19
 873 | PEP,1996-01-02,
 874 | PET,1996-01-02,1998-06-29
 875 | PETM,2012-10-05,2015-03-12
 876 | PFE,1996-01-02,
 877 | PFG,2002-07-22,
 878 | PG,1996-01-02,
 879 | PGL,1996-01-02,2007-02-22
 880 | PGN,1996-01-02,2012-07-02
 881 | PGR,1997-08-04,
 882 | PH,1996-01-02,
 883 | PHA,1996-01-02,2003-04-16
 884 | PHB,1996-01-02,1999-10-04
 885 | PHM,1996-01-02,
 886 | PKG,2017-07-26,
 887 | PKI,1996-01-02,2023-05-16
 888 | PLD,2003-07-17,
 889 | PLL,1996-01-02,2015-08-31
 890 | PLTR,2024-09-23,
 891 | PM,2008-03-31,
 892 | PMCS,2001-08-03,2007-07-02
 893 | PMI,1996-01-02,1996-05-31
 894 | PNC,1996-01-02,
 895 | PNR,2012-10-01,
 896 | PNU,1996-01-02,2000-04-03
 897 | PNW,1999-10-04,
 898 | PODD,2023-03-15,
 899 | POM,2007-11-09,2016-03-24
 900 | POOL,2020-10-07,
 901 | PPG,1996-01-02,
 902 | PPL,1996-01-02,
 903 | PPW,1996-01-02,1999-11-30
 904 | PRD,1996-01-02,2000-12-12
 905 | PRGO,2011-12-19,2021-09-20
 906 | PRU,2002-07-22,
 907 | PSA,2005-08-19,
 908 | PSFT,1998-10-02,2004-12-29
 909 | PSX,2012-05-01,
 910 | PTC,1997-04-03,2007-01-03
 911 | PTC,2021-04-20,
 912 | PTV,1999-11-05,2010-11-17
 913 | PVH,2013-02-14,2022-09-19
 914 | PVN,1996-01-02,2005-10-03
 915 | PVT,1998-08-31,1999-07-01
 916 | PWER,2000-10-23,2005-03-14
 917 | PWJ,1999-06-04,2000-11-06
 918 | PWR,2009-07-01,
 919 | PX,1996-01-02,2018-10-31
 920 | PXD,2008-09-24,2024-05-08
 921 | PYPL,2015-07-20,
 922 | PZE,1996-01-02,1998-12-31
 923 | Q,2000-07-06,2011-04-01
 924 | QCOM,1999-07-22,
 925 | QEP,2010-07-01,2015-07-01
 926 | QLGC,2000-12-12,2011-01-18
 927 | QRVO,2015-06-12,2024-12-23
 928 | QTRN,1999-11-16,2003-09-26
 929 | R,1996-01-02,2017-06-19
 930 | RAD,1996-01-02,2000-07-27
 931 | RAI,2002-09-04,2017-07-25
 932 | RAL,1996-01-02,2001-12-13
 933 | RATL,2002-02-01,2003-02-21
 934 | RBD,1996-01-02,1999-03-25
 935 | RBK,1996-01-02,2006-02-01
 936 | RCL,2014-12-05,
 937 | RDC,1996-01-02,2014-08-19
 938 | RDS.A,1996-01-02,2002-07-22
 939 | RE,2017-06-19,2023-06-10
 940 | REG,2017-03-02,
 941 | REGN,2013-05-01,
 942 | RF,1998-08-28,
 943 | RHI,2000-12-05,2024-06-24
 944 | RHT,2009-07-27,2019-07-15
 945 | RIG,1999-12-31,2008-12-19
 946 | RIG,2013-10-29,2017-07-26
 947 | RJF,2017-03-20,
 948 | RL,2007-02-02,
 949 | RLM,1996-01-02,2000-05-04
 950 | RMD,2017-07-26,
 951 | RML,1996-01-02,2000-12-12
 952 | RNB,1996-01-02,2000-01-03
 953 | ROH,1996-01-02,2009-04-02
 954 | ROK,1996-01-02,
 955 | ROL,2018-10-01,
 956 | ROP,2009-12-23,
 957 | ROST,2009-12-21,
 958 | RRC,2007-12-21,2018-06-18
 959 | RRD,1996-01-02,2012-12-12
 960 | RSG,2008-12-05,
 961 | RSHCQ,1996-01-02,2011-07-01
 962 | RTN,1996-01-02,2020-04-06
 963 | RTX,2020-04-03,
 964 | RVTY,2023-05-16,
 965 | RX,1996-11-04,2010-02-26
 966 | RYAN,1996-01-02,1997-01-02
 967 | RYC,1996-01-02,1999-08-13
 968 | RYI,1996-01-02,1998-07-01
 969 | S,1996-01-02,2013-07-09
 970 | SAF,1996-01-02,2008-09-23
 971 | SAI,1997-07-17,1999-01-04
 972 | SANM,2000-06-21,2007-07-02
 973 | SAPE,2000-05-05,2002-05-13
 974 | SB,1996-01-02,1997-11-28
 975 | SBAC,2017-09-01,
 976 | SBL,2000-12-11,2007-01-10
 977 | SBNY,2021-12-20,2023-03-15
 978 | SBUX,2000-06-08,
 979 | SCG,2009-01-02,2019-01-02
 980 | SCHW,1997-06-02,
 981 | SCI,1996-01-02,2000-03-16
 982 | SDS,2002-07-22,2005-08-12
 983 | SE,2007-01-03,2017-02-27
 984 | SEBL,2000-05-05,2006-02-01
 985 | SEDG,2021-12-20,2023-10-18
 986 | SEE,1998-04-01,2023-10-18
 987 | SEG,1996-08-16,2000-11-22
 988 | SFA,1996-01-02,2006-02-27
 989 | SFS,1996-01-02,1997-07-28
 990 | SGID,1996-01-02,2000-06-21
 991 | SGP,1996-01-02,2009-11-04
 992 | SHLD,2005-03-28,2012-09-05
 993 | SHN,1996-01-02,1997-01-02
 994 | SHW,1996-01-02,
 995 | SIAL,1996-01-02,2015-11-18
 996 | SIG,2015-07-29,2018-03-19
 997 | SII,2006-10-02,2010-08-27
 998 | SIVB,2018-03-19,2023-03-15
 999 | SJM,2008-11-06,
1000 | SK,1996-01-02,1998-04-01
1001 | SLB,1996-01-02,
1002 | SLG,2015-03-23,2021-03-22
1003 | SLM,1998-07-01,2014-05-01
1004 | SLR,1998-12-31,2007-10-02
1005 | SMCI,2024-03-18,
1006 | SMI,1996-01-02,2000-12-12
1007 | SMS,1996-01-02,2000-06-08
1008 | SNA,1996-01-02,
1009 | SNDK,2006-04-20,2016-05-12
1010 | SNI,2008-07-01,2018-03-07
1011 | SNPS,2017-03-16,
1012 | SNT,1996-01-02,1999-10-26
1013 | SNV,1997-12-01,2008-01-02
1014 | SO,1996-01-02,
1015 | SOLV,2024-04-03,
1016 | SOTR,1999-03-01,2004-11-01
1017 | SOV,2004-07-01,2009-01-30
1018 | SPG,2002-06-26,
1019 | SPGI,1996-01-02,
1020 | SPLS,1998-10-07,2017-09-13
1021 | SRCL,2008-11-19,2018-12-03
1022 | SRE,1998-06-29,
1023 | SRR,1996-01-02,1997-10-07
1024 | SSP,2005-12-20,2008-07-01
1025 | STE,2019-12-23,
1026 | STI,1996-01-02,2019-12-09
1027 | STJ,1996-01-02,2017-01-05
1028 | STLD,2022-12-22,
1029 | STO,1996-01-02,1998-11-18
1030 | STR,2006-12-01,2010-07-01
1031 | STT,1997-08-18,
1032 | STX,2012-07-02,
1033 | STZ,2005-07-05,
1034 | SUB,1998-01-28,2001-03-01
1035 | SUN,1996-01-02,2012-10-05
1036 | SUNEQ,2007-05-31,2011-12-19
1037 | SVU,1996-01-02,2012-05-01
1038 | SW,2024-07-08,
1039 | SWK,1996-01-02,
1040 | SWKS,2015-03-12,
1041 | SWN,2008-06-06,2017-04-04
1042 | SWY,1998-11-13,2015-01-27
1043 | SXCL,1999-10-01,2001-05-14
1044 | SYF,2015-11-18,
1045 | SYK,2000-12-12,
1046 | SYMC,2003-03-31,2019-11-05
1047 | SYY,1996-01-02,
1048 | T,1996-01-02,
1049 | TA,1996-01-02,1999-07-22
1050 | TAP,1996-01-02,
1051 | TCOMA,1996-01-02,1999-03-10
1052 | TDC,2007-10-01,2017-06-19
1053 | TDG,2016-06-03,
1054 | TDM,1996-01-02,1997-09-02
1055 | TDY,2020-06-22,
1056 | TE,2001-10-10,2016-07-01
1057 | TECH,2021-08-30,
1058 | TEG,2007-02-22,2015-06-30
1059 | TEK,1996-01-02,2007-11-16
1060 | TEL,2007-07-02,2009-06-26
1061 | TEL,2011-10-17,
1062 | TEN,1996-01-02,1999-11-05
1063 | TER,1999-11-15,2013-12-23
1064 | TER,2020-09-21,
1065 | TEX,2006-12-20,2008-11-06
1066 | TFC,2019-12-09,
1067 | TFX,2019-01-18,
1068 | TGNA,1996-01-02,2017-06-02
1069 | TGT,1996-01-02,
1070 | THC,1996-01-02,2016-04-18
1071 | THY,1996-01-02,1996-10-16
1072 | TIE,2007-10-29,2012-12-24
1073 | TIF,2000-06-21,2021-01-07
1074 | TIN,1996-01-02,2007-12-31
1075 | TJX,1996-01-02,
1076 | TKR,1996-01-02,2001-08-07
1077 | TLAB,1996-01-02,2011-12-21
1078 | TMC,1996-01-02,2000-06-13
1079 | TMC.A,1996-01-02,2000-06-13
1080 | TMK,1996-01-02,2019-08-08
1081 | TMO,1997-01-02,
1082 | TMUS,2009-06-30,2013-05-01
1083 | TMUS,2019-07-15,
1084 | TNB,1996-01-02,2004-08-03
1085 | TOS,1999-09-20,2001-09-17
1086 | TOY,1996-01-02,2005-07-22
1087 | TPL,2024-11-26,
1088 | TPR,2004-09-01,
1089 | TRB,1996-01-02,2007-12-21
1090 | TRGP,2022-10-12,
1091 | TRIP,2011-12-21,2019-12-23
1092 | TRMB,2021-01-21,
1093 | TROW,1999-10-13,
1094 | TRV,1996-01-02,
1095 | TRW,1996-01-02,2002-12-12
1096 | TSCO,2014-01-24,
1097 | TSG,2000-03-16,2007-04-02
1098 | TSLA,2020-12-21,
1099 | TSN,2005-08-11,
1100 | TSS,2008-01-02,2019-09-23
1101 | TT,2002-05-13,2008-06-06
1102 | TT,2020-03-03,
1103 | TTWO,2018-03-19,
1104 | TUP,1996-05-31,2004-03-25
1105 | TWC,2009-03-30,2016-05-18
1106 | TWTR,2018-06-07,2022-11-01
1107 | TWX,1996-01-02,2018-06-15
1108 | TX,1996-01-02,2001-10-10
1109 | TXN,1996-01-02,
1110 | TXT,1996-01-02,
1111 | TXU,1996-01-02,2007-10-10
1112 | TYL,2020-06-22,
1113 | UA,2016-04-08,2022-06-21
1114 | UAA,2014-05-01,2022-06-21
1115 | UAL,2015-09-03,
1116 | UAWGQ,1996-01-02,2002-05-15
1117 | UBER,2023-10-18,
1118 | UCC,1996-01-02,1999-05-03
1119 | UCL,1996-01-02,2005-08-11
1120 | UCM,1996-01-02,2000-10-23
1121 | UDR,2016-03-07,
1122 | UHS,2014-09-22,
1123 | UIS,1996-01-02,2008-11-11
1124 | UK,1996-01-02,2001-02-07
1125 | ULTA,2016-04-18,
1126 | UMG,1996-01-02,2000-06-15
1127 | UN,1996-01-02,2002-07-22
1128 | UNH,1996-01-02,
1129 | UNM,1996-01-02,2021-09-20
1130 | UNP,1996-01-02,
1131 | UPC,1998-10-01,2004-07-01
1132 | UPR,1996-10-16,2000-07-17
1133 | UPS,2002-07-22,
1134 | URBN,2010-02-08,2017-03-20
1135 | URI,2014-09-22,
1136 | USB,1996-01-02,
1137 | USBC,1996-01-02,1997-08-04
1138 | USH,1996-01-02,1997-06-18
1139 | USHC,1996-01-02,1996-07-19
1140 | USS,1996-01-02,1998-10-02
1141 | UST,1996-01-02,2009-01-06
1142 | USW,1996-01-02,2000-07-03
1143 | UTX,1996-01-02,2020-04-03
1144 | UVN,2001-02-07,2007-03-29
1145 | V,2009-12-21,
1146 | VAR,2007-02-12,2021-04-20
1147 | VAT,1996-01-02,1996-09-06
1148 | VFC,1996-01-02,2024-04-03
1149 | VIAB,2006-01-03,2019-12-05
1150 | VIAC,2019-12-05,2022-02-17
1151 | VIAV,2000-07-27,2013-12-23
1152 | VICI,2022-06-08,
1153 | VLO,2004-04-29,
1154 | VLTO,2023-10-02,
1155 | VMC,1999-07-01,
1156 | VNO,2005-08-12,2023-01-04
1157 | VNT,2020-10-12,2021-03-22
1158 | VO,1996-01-02,2000-12-11
1159 | VRSK,2015-10-08,
1160 | VRSN,2006-02-01,
1161 | VRTS,2000-04-03,2005-07-05
1162 | VRTX,2013-09-23,
1163 | VST,2024-05-08,
1164 | VSTNQ,2000-06-29,2006-01-03
1165 | VTR,2009-03-04,
1166 | VTRS,2020-11-17,
1167 | VTSS,2000-12-12,2002-08-21
1168 | VZ,1996-01-02,
1169 | WAB,2019-02-27,
1170 | WAI,1996-01-02,1998-08-11
1171 | WAMUQ,1997-07-02,2008-09-30
1172 | WAT,2002-01-02,
1173 | WB,1996-01-02,2009-01-02
1174 | WBA,1996-01-02,
1175 | WBD,2022-04-11,
1176 | WCG,2018-09-17,2020-01-28
1177 | WCOEQ,1996-04-01,2002-05-15
1178 | WDAY,2024-12-23,
1179 | WDC,2009-07-01,
1180 | WEC,2008-10-31,
1181 | WELL,2009-01-30,
1182 | WEN,1996-01-02,2008-09-30
1183 | WFC,1996-01-02,
1184 | WFM,2006-01-03,2017-08-28
1185 | WFT,2005-07-22,2009-02-26
1186 | WHR,1996-01-02,2024-03-18
1187 | WIN,2006-07-18,2015-04-07
1188 | WLA,1996-01-02,2000-06-20
1189 | WLL,1996-01-02,2002-02-11
1190 | WLP,1999-06-09,2004-12-01
1191 | WLTW,2016-01-05,2022-01-20
1192 | WM,1998-07-17,
1193 | WMB,1996-01-02,
1194 | WMT,1996-01-02,
1195 | WMX,1996-01-02,1998-07-17
1196 | WNDXQ,1996-01-02,2004-12-03
1197 | WOR,1996-01-02,2004-12-20
1198 | WPX,2012-01-03,2014-03-24
1199 | WRB,2019-12-05,
1200 | WRK,2015-07-02,2024-07-08
1201 | WST,2020-05-22,
1202 | WTW,2022-01-20,
1203 | WU,2006-10-02,2021-12-20
1204 | WWY,1996-01-02,2008-10-07
1205 | WY,1996-01-02,
1206 | WYE,1996-01-02,2009-10-16
1207 | WYND,2006-08-01,2018-05-31
1208 | WYNN,2008-11-14,
1209 | X,1996-01-02,2014-07-02
1210 | XEC,2014-06-20,2020-03-03
1211 | XEL,1996-01-02,
1212 | XL,2001-09-04,2018-09-12
1213 | XLNX,1999-11-08,2022-02-15
1214 | XOM,1996-01-02,
1215 | XRAY,2008-11-14,2024-04-03
1216 | XRX,1996-01-02,2021-03-22
1217 | XTO,2004-12-29,2010-06-28
1218 | XYL,2011-11-01,
1219 | YNR,2000-01-06,2000-10-03
1220 | YRCW,1996-01-02,1996-11-04
1221 | YUM,1997-10-07,
1222 | ZBH,2001-08-07,
1223 | ZBRA,2019-12-23,
1224 | ZION,2001-06-25,2024-03-18
1225 | ZTS,2013-06-24,
1226 | 


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