Filter Function P2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "179a4a33",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Authors: Samay Bhagat and Alexander Domilescu\n",
    "\n",
    "from IPython.display import display, Math, Latex\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import numpy_financial as npf\n",
    "import yfinance as yf\n",
    "import matplotlib.pyplot as plt\n",
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "01245f49",
   "metadata": {},
   "outputs": [],
   "source": [
    "startdate = '2023-01-01'\n",
    "enddate = '2023-10-31'\n",
    "\n",
    "ticker_file = 'Tickers_Example.csv' \n",
    "tickers = pd.read_csv(ticker_file, header=None).values.flatten().tolist() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "8af8ad89",
   "metadata": {},
   "outputs": [],
   "source": [
    "# is_valid_currency takes a ticker name and ensures it's denominated in USD or CAD\n",
    "\n",
    "def is_valid_currency(ticker):\n",
    "    stock_info = yf.Ticker(ticker).info\n",
    "    currency = stock_info.get('currency', '').upper() # retrieving the stock currency\n",
    "    return currency == 'USD' or currency == 'CAD' # returns T/F based on currency"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "9b476fad",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "Skipping XYZ: Invalid currency.\n",
      "[*********************100%%**********************]  1 of 1 completed\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[{'ticker': 'AAPL',\n",
       "  'historical_close_data': {Timestamp('2022-01-03 00:00:00'): 182.00999450683594,\n",
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       "   'longBusinessSummary': 'Apple Inc. designs, manufactures, and markets smartphones, personal computers, tablets, wearables, and accessories worldwide. The company offers iPhone, a line of smartphones; Mac, a line of personal computers; iPad, a line of multi-purpose tablets; and wearables, home, and accessories comprising AirPods, Apple TV, Apple Watch, Beats products, and HomePod. It also provides AppleCare support and cloud services; and operates various platforms, including the App Store that allow customers to discover and download applications and digital content, such as books, music, video, games, and podcasts. In addition, the company offers various services, such as Apple Arcade, a game subscription service; Apple Fitness+, a personalized fitness service; Apple Music, which offers users a curated listening experience with on-demand radio stations; Apple News+, a subscription news and magazine service; Apple TV+, which offers exclusive original content; Apple Card, a co-branded credit card; and Apple Pay, a cashless payment service, as well as licenses its intellectual property. The company serves consumers, and small and mid-sized businesses; and the education, enterprise, and government markets. It distributes third-party applications for its products through the App Store. The company also sells its products through its retail and online stores, and direct sales force; and third-party cellular network carriers, wholesalers, retailers, and resellers. Apple Inc. was founded in 1976 and is headquartered in Cupertino, California.',\n",
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       "  'info': {'address1': 'One Microsoft Way',\n",
       "   'city': 'Redmond',\n",
       "   'state': 'WA',\n",
       "   'zip': '98052-6399',\n",
       "   'country': 'United States',\n",
       "   'phone': '425 882 8080',\n",
       "   'website': 'https://www.microsoft.com',\n",
       "   'industry': 'Software - Infrastructure',\n",
       "   'industryKey': 'software-infrastructure',\n",
       "   'industryDisp': 'Software - Infrastructure',\n",
       "   'sector': 'Technology',\n",
       "   'sectorKey': 'technology',\n",
       "   'sectorDisp': 'Technology',\n",
       "   'longBusinessSummary': 'Microsoft Corporation develops and supports software, services, devices and solutions worldwide. The Productivity and Business Processes segment offers office, exchange, SharePoint, Microsoft Teams, office 365 Security and Compliance, Microsoft viva, and Microsoft 365 copilot; and office consumer services, such as Microsoft 365 consumer subscriptions, Office licensed on-premises, and other office services. This segment also provides LinkedIn; and dynamics business solutions, including Dynamics 365, a set of intelligent, cloud-based applications across ERP, CRM, power apps, and power automate; and on-premises ERP and CRM applications. The Intelligent Cloud segment provides server products and cloud services, such as azure and other cloud services; SQL and windows server, visual studio, system center, and related client access licenses, as well as nuance and GitHub; and enterprise services including enterprise support services, industry solutions, and nuance professional services. The More Personal Computing segment offers Windows, including windows OEM licensing and other non-volume licensing of the Windows operating system; Windows commercial comprising volume licensing of the Windows operating system, windows cloud services, and other Windows commercial offerings; patent licensing; and windows Internet of Things; and devices, such as surface, HoloLens, and PC accessories. Additionally, this segment provides gaming, which includes Xbox hardware and content, and first- and third-party content; Xbox game pass and other subscriptions, cloud gaming, advertising, third-party disc royalties, and other cloud services; and search and news advertising, which includes Bing, Microsoft News and Edge, and third-party affiliates. The company sells its products through OEMs, distributors, and resellers; and directly through digital marketplaces, online, and retail stores. The company was founded in 1975 and is headquartered in Redmond, Washington.',\n",
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       "     'title': 'Executive VP of AI & CTO',\n",
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       "   'shortName': 'Microsoft Corporation',\n",
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       " {'ticker': 'GSY.TO',\n",
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       "  'info': {'address1': '33 City Centre Drive',\n",
       "   'address2': 'Suite 510',\n",
       "   'city': 'Mississauga',\n",
       "   'state': 'ON',\n",
       "   'zip': 'L5B 2N5',\n",
       "   'country': 'Canada',\n",
       "   'phone': '844 446 3279',\n",
       "   'website': 'https://www.goeasy.com',\n",
       "   'industry': 'Credit Services',\n",
       "   'industryKey': 'credit-services',\n",
       "   'industryDisp': 'Credit Services',\n",
       "   'sector': 'Financial Services',\n",
       "   'sectorKey': 'financial-services',\n",
       "   'sectorDisp': 'Financial Services',\n",
       "   'longBusinessSummary': 'goeasy Ltd. provides non-prime leasing and lending services under the easyhome, easyfinancial, and LendCare brands to consumers in Canada. The company operates through two segments, Easyfinancial and Easyhome. It offers unsecured and real estate secured installment loans; home equity secured instalment loans and automotive vehicle financing; and loans to finance the purchase of retail goods, powersports and recreational vehicles, home improvement projects, and healthcare related products and services. The company also leases household furniture, appliances, electronics, and unsecured lending products to retail consumers. The company was formerly known as easyhome Ltd. and changed its name to goeasy Ltd. in September 2015. goeasy Ltd. was incorporated in 1990 and is headquartered in Mississauga, Canada.',\n",
       "   'fullTimeEmployees': 2400,\n",
       "   'companyOfficers': [{'maxAge': 1,\n",
       "     'name': 'Mr. David  Ingram',\n",
       "     'age': 56,\n",
       "     'title': 'Executive Chairman',\n",
       "     'yearBorn': 1966,\n",
       "     'fiscalYear': 2022,\n",
       "     'totalPay': 136565,\n",
       "     'exercisedValue': 0,\n",
       "     'unexercisedValue': 0},\n",
       "    {'maxAge': 1,\n",
       "     'name': 'Mr. Jason  Mullins',\n",
       "     'age': 39,\n",
       "     'title': 'President, CEO & Director',\n",
       "     'yearBorn': 1983,\n",
       "     'fiscalYear': 2022,\n",
       "     'totalPay': 950898,\n",
       "     'exercisedValue': 0,\n",
       "     'unexercisedValue': 0},\n",
       "    {'maxAge': 1,\n",
       "     'name': 'Mr. Hal  Khouri',\n",
       "     'title': 'CFO & Executive VP',\n",
       "     'fiscalYear': 2022,\n",
       "     'totalPay': 539204,\n",
       "     'exercisedValue': 0,\n",
       "     'unexercisedValue': 0},\n",
       "    {'maxAge': 1,\n",
       "     'name': 'Ms. Andrea  Fiederer',\n",
       "     'title': 'Executive VP & Chief Marketing Officer',\n",
       "     'fiscalYear': 2022,\n",
       "     'totalPay': 458317,\n",
       "     'exercisedValue': 0,\n",
       "     'unexercisedValue': 0},\n",
       "    {'maxAge': 1,\n",
       "     'name': 'Mr. Jason  Appel',\n",
       "     'title': 'Executive VP & Chief Risk Officer',\n",
       "     'fiscalYear': 2022,\n",
       "     'totalPay': 456317,\n",
       "     'exercisedValue': 0,\n",
       "     'unexercisedValue': 0},\n",
       "    {'maxAge': 1,\n",
       "     'name': 'Ms. Jackie  Foo',\n",
       "     'title': 'Executive VP & COO',\n",
       "     'fiscalYear': 2022,\n",
       "     'exercisedValue': 0,\n",
       "     'unexercisedValue': 0},\n",
       "    {'maxAge': 1,\n",
       "     'name': 'Mr. Michael Anthony Eubanks',\n",
       "     'title': 'Senior VP & Chief Information Officer',\n",
       "     'fiscalYear': 2022,\n",
       "     'exercisedValue': 0,\n",
       "     'unexercisedValue': 0},\n",
       "    {'maxAge': 1,\n",
       "     'name': 'Ms. Sabrina  Anzini',\n",
       "     'title': 'Senior VP & Chief Legal Officer',\n",
       "     'fiscalYear': 2022,\n",
       "     'exercisedValue': 0,\n",
       "     'unexercisedValue': 0},\n",
       "    {'maxAge': 1,\n",
       "     'name': 'Bryan  Tritt',\n",
       "     'title': 'VP of Communications & Public Relations',\n",
       "     'fiscalYear': 2022,\n",
       "     'exercisedValue': 0,\n",
       "     'unexercisedValue': 0},\n",
       "    {'maxAge': 1,\n",
       "     'name': 'Mr. Farhan Ali Khan',\n",
       "     'title': 'Senior VP & Chief Corporate Development Officer',\n",
       "     'fiscalYear': 2022,\n",
       "     'exercisedValue': 0,\n",
       "     'unexercisedValue': 0}],\n",
       "   'auditRisk': 9,\n",
       "   'boardRisk': 7,\n",
       "   'compensationRisk': 3,\n",
       "   'shareHolderRightsRisk': 7,\n",
       "   'overallRisk': 6,\n",
       "   'governanceEpochDate': 1698796800,\n",
       "   'compensationAsOfEpochDate': 1672444800,\n",
       "   'maxAge': 86400,\n",
       "   'priceHint': 2,\n",
       "   'previousClose': 128.65,\n",
       "   'open': 127.39,\n",
       "   'dayLow': 125.775,\n",
       "   'dayHigh': 128.49,\n",
       "   'regularMarketPreviousClose': 128.65,\n",
       "   'regularMarketOpen': 127.39,\n",
       "   'regularMarketDayLow': 125.775,\n",
       "   'regularMarketDayHigh': 128.49,\n",
       "   'dividendRate': 3.84,\n",
       "   'dividendYield': 0.0301,\n",
       "   'exDividendDate': 1703721600,\n",
       "   'payoutRatio': 0.3198,\n",
       "   'fiveYearAvgDividendYield': 2.34,\n",
       "   'beta': 1.974,\n",
       "   'trailingPE': 10.771502,\n",
       "   'forwardPE': 7.505875,\n",
       "   'volume': 28135,\n",
       "   'regularMarketVolume': 28135,\n",
       "   'averageVolume': 29245,\n",
       "   'averageVolume10days': 48980,\n",
       "   'averageDailyVolume10Day': 48980,\n",
       "   'bid': 127.73,\n",
       "   'ask': 127.97,\n",
       "   'bidSize': 0,\n",
       "   'askSize': 0,\n",
       "   'marketCap': 2117187968,\n",
       "   'fiftyTwoWeekLow': 87.0,\n",
       "   'fiftyTwoWeekHigh': 135.5,\n",
       "   'priceToSalesTrailing12Months': 2.9835727,\n",
       "   'fiftyDayAverage': 114.4594,\n",
       "   'twoHundredDayAverage': 113.6425,\n",
       "   'trailingAnnualDividendRate': 3.79,\n",
       "   'trailingAnnualDividendYield': 0.029459776,\n",
       "   'currency': 'CAD',\n",
       "   'enterpriseValue': 4656629760,\n",
       "   'profitMargins': 0.28448,\n",
       "   'floatShares': 12714925,\n",
       "   'sharesOutstanding': 16572900,\n",
       "   'sharesShort': 301306,\n",
       "   'sharesShortPriorMonth': 299978,\n",
       "   'sharesShortPreviousMonthDate': 1697155200,\n",
       "   'dateShortInterest': 1700006400,\n",
       "   'sharesPercentSharesOut': 0.0182,\n",
       "   'heldPercentInsiders': 0.23103,\n",
       "   'heldPercentInstitutions': 0.19349001,\n",
       "   'shortRatio': 8.92,\n",
       "   'impliedSharesOutstanding': 16572900,\n",
       "   'bookValue': 61.104,\n",
       "   'priceToBook': 2.0906978,\n",
       "   'lastFiscalYearEnd': 1672444800,\n",
       "   'nextFiscalYearEnd': 1703980800,\n",
       "   'mostRecentQuarter': 1696032000,\n",
       "   'earningsQuarterlyGrowth': 0.405,\n",
       "   'netIncomeToCommon': 201872000,\n",
       "   'trailingEps': 11.86,\n",
       "   'forwardEps': 17.02,\n",
       "   'pegRatio': 0.76,\n",
       "   'enterpriseToRevenue': 6.562,\n",
       "   '52WeekChange': 0.049946904,\n",
       "   'SandP52WeekChange': 0.12718701,\n",
       "   'lastDividendValue': 0.96,\n",
       "   'lastDividendDate': 1695859200,\n",
       "   'exchange': 'TOR',\n",
       "   'quoteType': 'EQUITY',\n",
       "   'symbol': 'GSY.TO',\n",
       "   'underlyingSymbol': 'GSY.TO',\n",
       "   'shortName': 'GOEASY LTD',\n",
       "   'longName': 'goeasy Ltd.',\n",
       "   'firstTradeDateEpochUtc': 839943000,\n",
       "   'timeZoneFullName': 'America/Toronto',\n",
       "   'timeZoneShortName': 'EST',\n",
       "   'uuid': '892769fe-3b74-35d2-8808-9c4ceb12b652',\n",
       "   'messageBoardId': 'finmb_879720',\n",
       "   'gmtOffSetMilliseconds': -18000000,\n",
       "   'currentPrice': 127.75,\n",
       "   'targetHighPrice': 300.0,\n",
       "   'targetLowPrice': 117.0,\n",
       "   'targetMeanPrice': 176.5,\n",
       "   'targetMedianPrice': 165.5,\n",
       "   'recommendationMean': 2.0,\n",
       "   'recommendationKey': 'buy',\n",
       "   'numberOfAnalystOpinions': 10,\n",
       "   'totalCash': 210316992,\n",
       "   'totalCashPerShare': 12.69,\n",
       "   'totalDebt': 2749754112,\n",
       "   'quickRatio': 27.736,\n",
       "   'currentRatio': 27.823,\n",
       "   'totalRevenue': 709614976,\n",
       "   'debtToEquity': 271.597,\n",
       "   'revenuePerShare': 42.377,\n",
       "   'returnOnAssets': 0.057140004,\n",
       "   'returnOnEquity': 0.22376,\n",
       "   'grossProfits': 636916000,\n",
       "   'operatingCashflow': -483431008,\n",
       "   'earningsGrowth': 0.353,\n",
       "   'revenueGrowth': 0.185,\n",
       "   'grossMargins': 1.0,\n",
       "   'ebitdaMargins': 0.0,\n",
       "   'operatingMargins': 0.44514,\n",
       "   'financialCurrency': 'CAD',\n",
       "   'trailingPegRatio': None},\n",
       "  'volume': {Timestamp('2022-01-04 00:00:00'): 33100,\n",
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       "   Timestamp('2022-12-15 00:00:00'): 44100,\n",
       "   Timestamp('2022-12-16 00:00:00'): 79300,\n",
       "   Timestamp('2022-12-17 00:00:00'): 0,\n",
       "   Timestamp('2022-12-18 00:00:00'): 0,\n",
       "   Timestamp('2022-12-19 00:00:00'): 63100,\n",
       "   Timestamp('2022-12-20 00:00:00'): 34900,\n",
       "   Timestamp('2022-12-21 00:00:00'): 50300,\n",
       "   Timestamp('2022-12-22 00:00:00'): 185500,\n",
       "   Timestamp('2022-12-23 00:00:00'): 18000,\n",
       "   Timestamp('2022-12-24 00:00:00'): 0,\n",
       "   Timestamp('2022-12-25 00:00:00'): 0,\n",
       "   Timestamp('2022-12-26 00:00:00'): 0,\n",
       "   Timestamp('2022-12-27 00:00:00'): 0,\n",
       "   Timestamp('2022-12-28 00:00:00'): 45500,\n",
       "   Timestamp('2022-12-29 00:00:00'): 35200,\n",
       "   Timestamp('2022-12-30 00:00:00'): 21000}}]"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def get_stock_data(ticker):\n",
    "    # get stock info\n",
    "    stock_info = yf.Ticker(ticker).info\n",
    "    \n",
    "    # check if the currency is valid\n",
    "    if is_valid_currency(ticker):\n",
    "        # download historical data\n",
    "        data = yf.download(ticker, start='2022-01-01', end='2023-01-01')\n",
    "        \n",
    "        # returning daily volume\n",
    "        monthly_volume = data['Volume'].resample('D').sum()\n",
    "        \n",
    "        # create a dictionary for the ticker\n",
    "        result = {\n",
    "            'ticker': ticker,\n",
    "            'historical_close_data': data['Close'].to_dict(),\n",
    "            'info': stock_info,\n",
    "            'volume': monthly_volume.to_dict()\n",
    "        }\n",
    "        return result\n",
    "    else:\n",
    "        print(f\"Skipping {ticker}: Invalid currency.\")\n",
    "        return None\n",
    "\n",
    "# accumulates a list of dictionaries through get_stock_data    \n",
    "def process_tickers(ticker_list):\n",
    "    result_list = []\n",
    "    for ticker in ticker_list:\n",
    "        stock_data = get_stock_data(ticker)\n",
    "        if stock_data is not None:\n",
    "            result_list.append(stock_data)\n",
    "    return result_list\n",
    "\n",
    "tickers = ['AAPL', 'MSFT', 'XYZ', 'GSY.TO']\n",
    "result_list = process_tickers(tickers)\n",
    "\n",
    "result_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "37d944f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'ticker': 'AAPL',\n",
       "  'historical_close_data': {Timestamp('2022-01-03 00:00:00'): 182.00999450683594,\n",
       "   Timestamp('2022-01-04 00:00:00'): 179.6999969482422,\n",
       "   Timestamp('2022-01-05 00:00:00'): 174.9199981689453,\n",
       "   Timestamp('2022-01-06 00:00:00'): 172.0,\n",
       "   Timestamp('2022-01-07 00:00:00'): 172.1699981689453,\n",
       "   Timestamp('2022-01-10 00:00:00'): 172.19000244140625,\n",
       "   Timestamp('2022-01-11 00:00:00'): 175.0800018310547,\n",
       "   Timestamp('2022-01-12 00:00:00'): 175.52999877929688,\n",
       "   Timestamp('2022-01-13 00:00:00'): 172.19000244140625,\n",
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       "   Timestamp('2022-01-18 00:00:00'): 169.8000030517578,\n",
       "   Timestamp('2022-01-19 00:00:00'): 166.22999572753906,\n",
       "   Timestamp('2022-01-20 00:00:00'): 164.50999450683594,\n",
       "   Timestamp('2022-01-21 00:00:00'): 162.41000366210938,\n",
       "   Timestamp('2022-01-24 00:00:00'): 161.6199951171875,\n",
       "   Timestamp('2022-01-25 00:00:00'): 159.77999877929688,\n",
       "   Timestamp('2022-01-26 00:00:00'): 159.69000244140625,\n",
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       "  'info': {'address1': 'One Microsoft Way',\n",
       "   'city': 'Redmond',\n",
       "   'state': 'WA',\n",
       "   'zip': '98052-6399',\n",
       "   'country': 'United States',\n",
       "   'phone': '425 882 8080',\n",
       "   'website': 'https://www.microsoft.com',\n",
       "   'industry': 'Software - Infrastructure',\n",
       "   'industryKey': 'software-infrastructure',\n",
       "   'industryDisp': 'Software - Infrastructure',\n",
       "   'sector': 'Technology',\n",
       "   'sectorKey': 'technology',\n",
       "   'sectorDisp': 'Technology',\n",
       "   'longBusinessSummary': 'Microsoft Corporation develops and supports software, services, devices and solutions worldwide. The Productivity and Business Processes segment offers office, exchange, SharePoint, Microsoft Teams, office 365 Security and Compliance, Microsoft viva, and Microsoft 365 copilot; and office consumer services, such as Microsoft 365 consumer subscriptions, Office licensed on-premises, and other office services. This segment also provides LinkedIn; and dynamics business solutions, including Dynamics 365, a set of intelligent, cloud-based applications across ERP, CRM, power apps, and power automate; and on-premises ERP and CRM applications. The Intelligent Cloud segment provides server products and cloud services, such as azure and other cloud services; SQL and windows server, visual studio, system center, and related client access licenses, as well as nuance and GitHub; and enterprise services including enterprise support services, industry solutions, and nuance professional services. The More Personal Computing segment offers Windows, including windows OEM licensing and other non-volume licensing of the Windows operating system; Windows commercial comprising volume licensing of the Windows operating system, windows cloud services, and other Windows commercial offerings; patent licensing; and windows Internet of Things; and devices, such as surface, HoloLens, and PC accessories. Additionally, this segment provides gaming, which includes Xbox hardware and content, and first- and third-party content; Xbox game pass and other subscriptions, cloud gaming, advertising, third-party disc royalties, and other cloud services; and search and news advertising, which includes Bing, Microsoft News and Edge, and third-party affiliates. The company sells its products through OEMs, distributors, and resellers; and directly through digital marketplaces, online, and retail stores. The company was founded in 1975 and is headquartered in Redmond, Washington.',\n",
       "   'fullTimeEmployees': 221000,\n",
       "   'companyOfficers': [{'maxAge': 1,\n",
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       "   Timestamp('2022-12-30 00:00:00'): 21938500}}]"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def filter_stocks(result_list, min_avg_volume=150000, min_trading_days=18):\n",
    "    filtered_list = []\n",
    "\n",
    "    for stock_data in result_list:\n",
    "        ticker = stock_data['ticker']\n",
    "        volume_data = stock_data['volume']\n",
    "\n",
    "        # calculate average monthly volume\n",
    "        monthly_avg_volume = {}\n",
    "        for date, volume in volume_data.items():\n",
    "            month = date.strftime('%Y-%m')\n",
    "            if month not in monthly_avg_volume:\n",
    "                monthly_avg_volume[month] = {'total_volume': 0, 'days_counted': 0}\n",
    "            if volume > 0 or monthly_avg_volume[month]['days_counted'] < min_trading_days:\n",
    "                monthly_avg_volume[month]['total_volume'] += volume\n",
    "                monthly_avg_volume[month]['days_counted'] += 1\n",
    "\n",
    "        # remove stocks with less than min_trading_days in any month or average volume less than min_avg_volume\n",
    "        valid_months = [month for month, data in monthly_avg_volume.items() if data['days_counted'] >= min_trading_days]\n",
    "        avg_monthly_volume = sum(monthly_avg_volume[month]['total_volume'] / data['days_counted'] for month, data in monthly_avg_volume.items() if data['days_counted'] > 0) / len(valid_months) if valid_months else 0\n",
    "\n",
    "        if avg_monthly_volume >= min_avg_volume:\n",
    "            filtered_list.append(stock_data)\n",
    "\n",
    "    return filtered_list\n",
    "\n",
    "filtered_result_list = filter_stocks(result_list)\n",
    "\n",
    "filtered_result_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e029f88b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# this returns a list of dictionaries, where the dictionaries hold the \n",
    "# 1. ticker name, \n",
    "# 2. historical data with only the CLOSE column \n",
    "# 3. stock info \n",
    "# 4. daily volume "
   ]
  }
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