diff --git a/.gitignore b/.gitignore
index dc0990e9..b200a1b2 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,3 +1,5 @@
 .DS_Store
 __pycache__/
-__pycache__
\ No newline at end of file
+__pycache__
+*.pyc
+.vscode/settings.json
diff --git a/filtered_tickers.csv b/filtered_tickers.csv
new file mode 100644
index 00000000..da0bf228
--- /dev/null
+++ b/filtered_tickers.csv
@@ -0,0 +1,5037 @@
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+THTX
+TIG
+THWWW
+TIGO
+TIGR
+TILE
+TITN
+TIPT
+TLC
+TLF
+TLGT
+TLSA
+TLND
+TMDI
+TMDX
+TNDM
+TNAV
+TORC
+TOTA
+TOUR
+TPCO
+TPTX
+TRCH
+TREE
+TRIL
+TRHC
+TRIB
+TRIP
+TRMD
+TRMB
+TRMT
+TRMK
+TRNS
+TRS
+TROW
+TRUP
+TRUE
+TRVI
+TRVG
+TRST
+TRVN
+TSC
+TSCAP
+TSBK
+TSCBP
+TSCO
+TSEM
+TTEC
+TTGT
+TTEK
+TTMI
+TTWO
+TURN
+TVTY
+TUSK
+TW
+TWMC
+TWNK
+TWOU
+TWNKW
+TWST
+TXG
+TXAC
+TXMD
+TXRH
+TXN
+TYHT
+TYME
+TZACU
+TZAC
+TZACW
+TZOO
+UBOH
+UBCP
+UBX
+UBSI
+UCBIO
+UCBI
+UEPS
+UEIC
+UCTT
+UFPT
+UFPI
+UIHC
+UG
+UFCS
+ULH
+UHAL
+ULTA
+UMBF
+UMRX
+UMPQ
+UNIT
+UNB
+UNTY
+UONEK
+UPWK
+URBN
+UROV
+USAK
+USAP
+USEG
+USCR
+USWS
+USOI
+USLM
+UTHR
+UTSI
+UTMD
+UXIN
+UVSP
+VBLT
+VALU
+VBFC
+VCEL
+VCNX
+VC
+VCYT
+VECO
+VERBW
+VERI
+VERB
+VERO
+VERU
+VERY
+VFF
+VG
+VICR
+VIAV
+VIE
+VIOT
+VIR
+VIRC
+VIRT
+VITL
+VIVE
+VKTX
+VIVO
+VLGEA
+VLYPP
+VLYPO
+VLY
+VNOM
+VOD
+VNET
+VOXX
+VRA
+VRCA
+VRM
+VREX
+VRMEW
+VRNA
+VRNS
+VRNT
+VRRM
+VRSK
+VRSN
+VRTS
+VRTU
+VRTX
+VSEC
+VSTM
+VTNR
+VTSI
+VTVT
+VUZI
+VYGR
+WAFD
+WAFU
+WABC
+WB
+WATT
+WASH
+WDAY
+WDFC
+WDC
+WEN
+WERN
+WEYS
+WETF
+WHF
+WHLM
+WHFBZ
+WHLR
+WHLRD
+WHLRP
+WIMI
+WIFI
+WINA
+WING
+WINS
+WINT
+WIRE
+WISA
+WIX
+WKEY
+WLFC
+WLDN
+WMGI
+WORX
+WNEB
+WPRT
+WRLD
+WRTC
+WSBC
+WSBF
+WSC
+WSG
+WSTL
+WSTG
+WTBA
+WTFCM
+WTRE
+WTFCP
+WTFC
+WTREP
+WVE
+WVFC
+WVVI
+WVVIP
+WW
+WWD
+WWR
+XAIR
+XBIOW
+XBIO
+XCUR
+XBIT
+XELB
+XENT
+XERS
+XEL
+XFOR
+XGN
+XLNX
+XNCR
+XLRN
+XNET
+XOMA
+XONE
+XP
+XPER
+XTLB
+XSPA
+YGYI
+YGYIP
+XRAY
+YI
+YJ
+YMAB
+YNDX
+YTEN
+YORW
+YRCW
+YVR
+YY
+Z
+ZAGG
+ZAZZT
+ZBRA
+ZCMD
+ZBZZT
+ZEUS
+ZG
+ZEAL
+ZGNX
+ZGYHR
+ZGYHU
+ZGYHW
+ZIONN
+ZI
+ZION
+ZIONO
+ZIONL
+ZIONP
+ZJZZT
+ZIOP
+ZIXI
+ZKIN
+ZLAB
+ZN
+ZNTL
+ZNWAA
+ZS
+ZUMZ
+ZSAN
+ZVO
+ZVZZC
+ZVZZT
+ZWZZT
+ZYNE
+ZYXI
diff --git a/flask_server.py b/flask_server.py
new file mode 100644
index 00000000..913c6e34
--- /dev/null
+++ b/flask_server.py
@@ -0,0 +1,32 @@
+import flask
+from flask import Flask, request, send_from_directory, render_template
+import os
+import numpy
+
+from market_scanner import mainObj
+
+app = flask.Flask(__name__, static_url_path='')
+app.config["DEBUG"] = False
+
+SECRET_KEY = os.getenv('SECRET_KEY', 'deditated_wam') #pulls SECRET_KEY from env var, else sets as 'detitaded_wam'
+app.config['SECRET_KEY'] = SECRET_KEY
+
+
+
+@app.after_request
+def after_request(response):
+  response.headers.add('Access-Control-Allow-Origin', 'localhost*,192.168.*')
+  response.headers.add('Access-Control-Allow-Headers', 'Content-Type,Authorization')
+  response.headers.add('Access-Control-Allow-Methods', 'GET,PUT,POST,DELETE,OPTIONS')
+  return response
+
+@app.route('/', methods=['GET'])
+def home():
+    return render_template('dynamic.html', stonks=stonks)
+
+if __name__ == "__main__":
+    stonk_search = mainObj()
+    stonks = stonk_search.main_func(doFilter=True)
+
+    app.run(host='0.0.0.0',port='5000') # run the app on LAN
+    #app.run() # run the app on your machine
diff --git a/market_scanner.py b/market_scanner.py
index 9695f7f7..8673d644 100644
--- a/market_scanner.py
+++ b/market_scanner.py
@@ -5,95 +5,88 @@
 from datetime import date
 import datetime
 import numpy as np
+import pandas as pd
 import sys
+
 from stocklist import NasdaqController
+
 from tqdm import tqdm
 from joblib import Parallel, delayed, parallel_backend
 import multiprocessing
 
+
 ###########################
 # THIS IS THE MAIN SCRIPT #
 ###########################
 
-# Change variables to your liking then run the script
-MONTH_CUTTOFF = 6
-DAY_CUTTOFF = 3
-STD_CUTTOFF = 10
-
-
 class mainObj:
 
-    def __init__(self):
-        pass
+    def __init__(self,_month_cuttoff=6,_day_cuttoff=3,_std_cuttoff=10): #default params 
+        self.MONTH_CUTTOFF = _month_cuttoff
+        self.DAY_CUTTOFF = _day_cuttoff
+        self.STD_CUTTOFF = _std_cuttoff
 
     def getData(self, ticker):
-        global MONTH_CUTOFF
         currentDate = datetime.datetime.strptime(
             date.today().strftime("%Y-%m-%d"), "%Y-%m-%d")
         pastDate = currentDate - \
-            dateutil.relativedelta.relativedelta(months=MONTH_CUTTOFF)
+            dateutil.relativedelta.relativedelta(months=self.MONTH_CUTTOFF)
+
+        #potentially fixing an off-by-one bug(yfinance not getting data for currentDate), will test more after market close on monday. Doesn't break anything in the meantime
+        currentDate += dateutil.relativedelta.relativedelta(days=1)
+
         sys.stdout = open(os.devnull, "w")
         data = yf.download(ticker, pastDate, currentDate)
         sys.stdout = sys.__stdout__
         return data[["Volume"]]
 
-    def find_anomalies(self, data):
-        global STD_CUTTOFF
-        indexs = []
-        outliers = []
+    def find_anomalies(self, data, currentDate):
         data_std = np.std(data['Volume'])
         data_mean = np.mean(data['Volume'])
-        anomaly_cut_off = data_std * STD_CUTTOFF
+        anomaly_cut_off = data_std * self.STD_CUTTOFF
         upper_limit = data_mean + anomaly_cut_off
         data.reset_index(level=0, inplace=True)
-        for i in range(len(data)):
-            temp = data['Volume'].iloc[i]
-            if temp > upper_limit:
-                indexs.append(str(data['Date'].iloc[i])[:-9])
-                outliers.append(temp)
-        d = {'Dates': indexs, 'Volume': outliers}
-        return d
+        is_outlier = data['Volume'] > upper_limit
+        is_in_three_days = ((currentDate - data['Date']) <= datetime.timedelta(days=self.DAY_CUTTOFF))
+        return data[is_outlier & is_in_three_days]
 
     def customPrint(self, d, tick):
         print("\n\n\n*******  " + tick.upper() + "  *******")
         print("Ticker is: "+tick.upper())
-        for i in range(len(d['Dates'])):
-            str1 = str(d['Dates'][i])
-            str2 = str(d['Volume'][i])
-            print(str1 + " - " + str2)
+        print(d)
         print("*********************\n\n\n")
 
-    def days_between(self, d1, d2):
-        d1 = datetime.datetime.strptime(d1, "%Y-%m-%d")
-        d2 = datetime.datetime.strptime(d2, "%Y-%m-%d")
-        return abs((d2 - d1).days)
-
-    def parallel_wrapper(self, x, currentDate, positive_scans):
-        global DAY_CUTTOFF
-        d = (self.find_anomalies(self.getData(x)))
-        if d['Dates']:
-            for i in range(len(d['Dates'])):
-                if self.days_between(str(currentDate)[:-9], str(d['Dates'][i])) <= DAY_CUTTOFF:
-                    self.customPrint(d, x)
-                    stonk = dict()
-                    stonk['Ticker'] = x
-                    stonk['TargetDate'] = d['Dates'][0]
-                    stonk['TargetVolume'] = d['Volume'][0]
-                    positive_scans.append(stonk)
-
-    def main_func(self):
+    def parallel_wrapper(self,x, currentDate, positive_scans):
+        d = (self.find_anomalies(self.getData(x), currentDate))
+        if d.empty:
+            return
+
+        self.customPrint(d, x)
+        stonk = dict()
+        stonk['Ticker'] = x
+        stonk['TargetDate'] = d['Date'].iloc[0]
+        stonk['TargetVolume'] = d['Volume'].iloc[0]
+        positive_scans.append(stonk)
+
+    def main_func(self,doFilter=False):
+        manager = multiprocessing.Manager()
+        positive_scans = manager.list()
+
         StocksController = NasdaqController(True)
         list_of_tickers = StocksController.getList()
+        if doFilter:
+            filtered_tickers = pd.read_csv('filtered_tickers.csv', names=['Ticker'], index_col=None, header=None).Ticker.astype('string')
+            list_of_tickers = list(filtered_tickers.values)
+
+        print(f'num tickers: {len(list_of_tickers)}')
+
         currentDate = datetime.datetime.strptime(
             date.today().strftime("%Y-%m-%d"), "%Y-%m-%d")
         start_time = time.time()
 
-        manager = multiprocessing.Manager()
-        positive_scans = manager.list()
-
         with parallel_backend('loky', n_jobs=multiprocessing.cpu_count()):
             Parallel()(delayed(self.parallel_wrapper)(x, currentDate, positive_scans)
-                       for x in tqdm(list_of_tickers))
+                       for x in tqdm(list_of_tickers, miniters=1))
 
         print("\n\n\n\n--- this took %s seconds to run ---" %
               (time.time() - start_time))
@@ -102,48 +95,6 @@ def main_func(self):
 
 
 if __name__ == '__main__':
-    mainObj().main_func()
-
-
-"""
-Some legacy code down below
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-    def find_anomalies(self, data, cutoff):
-        data_std = np.std(data['Volume'])
-        data_mean = np.mean(data['Volume'])
-        anomaly_cut_off = data_std * cutoff
-        upper_limit = data_mean + anomaly_cut_off
-        indexs = data[data['Volume'] > upper_limit].index.tolist()
-        outliers = data[data['Volume'] > upper_limit].Volume.tolist()
-        index_clean = [str(x)[:-9] for x in indexs]
-        d = {'Dates': index_clean, 'Volume': outliers}
-        return d
-"""
+    results = mainObj(_month_cuttoff=6,_day_cuttoff=3,_std_cuttoff=10).main_func(doFilter=True) #customize these params to your liking
+    for outlier in results:
+        print(outlier)
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
index 1dc4b646..3b5a9b7a 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -8,3 +8,4 @@ tqdm==4.48.0
 joblib
 flask
 multiprocessing
+pandas
diff --git a/stocklist.py b/stocklist.py
index 03e06bc8..a7f27b66 100644
--- a/stocklist.py
+++ b/stocklist.py
@@ -6,15 +6,13 @@
 # this is used to get all tickers from the market.
 
 
-exportList = []
-
 
 class NasdaqController:
-    def getList(self):
-        return exportList
 
     def __init__(self, update=True):
 
+        self.exportList = []
+
         self.filenames = {
             "otherlisted": "data/otherlisted.txt",
             "nasdaqlisted": "data/nasdaqlisted.txt"
@@ -56,6 +54,8 @@ def __init__(self, update=True):
                         continue
 
                     all_listed.write(line[0] + ",")
-                    global exportList
-                    exportList.append(line[0])
+                    self.exportList.append(line[0])
                     all_listed.write(line[0] + "|" + line[1] + "\n")
+
+    def getList(self):
+        return self.exportList
diff --git a/stocklist_filter.py b/stocklist_filter.py
new file mode 100644
index 00000000..3d16e247
--- /dev/null
+++ b/stocklist_filter.py
@@ -0,0 +1,44 @@
+from stocklist import NasdaqController
+import market_scanner
+
+from joblib import Parallel, delayed, parallel_backend
+import multiprocessing
+from tqdm import tqdm
+
+import numpy as np
+import pandas as pd
+
+class stockFilter:
+
+    def __init__(self,manager,master_list):
+        self.scanner = market_scanner.mainObj(_month_cuttoff=6,_day_cuttoff=3,_std_cuttoff=10)
+        self.tickers = NasdaqController(True).getList()
+        self.frame = pd.DataFrame(columns=['Ticker','AvgVol'])
+
+        with parallel_backend('loky', n_jobs=multiprocessing.cpu_count()):
+            Parallel()(delayed(self.parallel_getData_wrapper)(x, master_list)
+                for x in tqdm(self.tickers, miniters=1))
+
+        self.frame = pd.DataFrame.from_records(master_list)
+
+        low = 0.0 # change these to set the range
+        high = 0.95
+
+        self.filtered_tickers = self.frame[self.frame.AvgVol.between(*self.frame.AvgVol.quantile([low, high]).tolist())].Ticker
+        self.filtered_tickers.to_csv('filtered_tickers.csv',index=False)
+
+        print("filtered tickers by avg volume (0-95th percentile)")
+
+    def parallel_getData_wrapper(self,x,master_list):
+        d = self.scanner.getData(x)
+        if d.empty:
+            return
+        else:
+            data_mean = np.mean(d)
+            new_row = {'Ticker':x, 'AvgVol':data_mean.values[0]}
+            master_list.append(new_row)
+
+if __name__ == "__main__":
+    manager = multiprocessing.Manager()
+    master_list = manager.list()
+    tmp = stockFilter(manager,master_list)
\ No newline at end of file
diff --git a/templates/dynamic.html b/templates/dynamic.html
new file mode 100644
index 00000000..022945d0
--- /dev/null
+++ b/templates/dynamic.html
@@ -0,0 +1,55 @@
+<meta charset="UTF-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1" />
+<!DOCTYPE html>
+<html>
+  <head>
+    <title>Abnormal Volume Scanner</title>
+    <meta charset="UTF-8">
+    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0/css/bootstrap.min.css" integrity="sha384-Gn5384xqQ1aoWXA+058RXPxPg6fy4IWvTNh0E263XmFcJlSAwiGgFAW/dAiS6JXm" crossorigin="anonymous">
+    <link rel="stylesheet" type="text/css" href="https://cdn.datatables.net/1.10.21/css/jquery.dataTables.css">
+
+    <style>
+      .dataTables_wrapper{
+        margin-bottom: auto;
+        margin-top: auto;
+        max-height: 75vh;
+
+      }
+    </style>
+
+  </head>
+  <body style="overflow-y: auto; background-color: #e9ecef;">
+    <div class="d-flex flex-column justify-content-center align-items-center" style="height: 100vh;margin-left:5vw; margin-right:5vw;">
+      <h1 class="mt-auto text-centerdisplay-1">Abnormal Volume Scanner</h1>
+      <p class="text-center lead">Get alerted when a stock's volume exceeds 10 standard deviations from the mean within the last 3 days. <a href = "https://github.com/SamPom100/UnusualVolumeDetector">Find the next $KODK.</a></p>
+      <table id="stonkstable" class="table table-hover">
+          <thead>
+            <tr>
+              <th scope="col">Ticker</th>
+              <th scope="col">Date</th>
+              <th scope="col">Volume</th>
+            </tr>
+          </thead>
+          <tbody>
+          {% for stonk in stonks %}
+          <tr>
+              <th scope="row"><a href=" {{ 'http://robinhood.com/stocks/{}'.format(stonk['Ticker']) }}">{{stonk['Ticker']}}</a></th>
+              <td>{{stonk['TargetDate']}}</td>
+              <td>{{stonk['TargetVolume']}}</td>
+            </tr>
+          {% endfor %}
+          </tbody>
+      </table>
+      </div>
+      <script type="text/javascript" charset="utf8" src="https://code.jquery.com/jquery-3.5.1.js"></script>
+      <script type="text/javascript" charset="utf8" src="https://cdn.datatables.net/1.10.21/js/jquery.dataTables.min.js"></script>
+      <script type="text/javascript" charset="utf8" src="https://cdn.datatables.net/1.10.21/js/dataTables.bootstrap4.min.js"></script>
+      <script src="https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.14.7/umd/popper.min.js" integrity="sha384-UO2eT0CpHqdSJQ6hJty5KVphtPhzWj9WO1clHTMGa3JDZwrnQq4sF86dIHNDz0W1" crossorigin="anonymous"></script>
+      <script src="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/js/bootstrap.min.js" integrity="sha384-JjSmVgyd0p3pXB1rRibZUAYoIIy6OrQ6VrjIEaFf/nJGzIxFDsf4x0xIM+B07jRM" crossorigin="anonymous"></script>
+      <script>
+        $(document).ready( function () {
+          $('#stonkstable').DataTable();
+          });
+      </script>
+  </body>
+</html>
\ No newline at end of file
diff --git a/website_generator.py b/website_generator.py
index 55dd2567..bdf042ca 100644
--- a/website_generator.py
+++ b/website_generator.py
@@ -12,7 +12,10 @@
 
 app = flask.Flask(__name__, static_url_path='')
 app.config["DEBUG"] = False
-app.config['SECRET_KEY'] = 'deditaded wam'
+
+SECRET_KEY = os.getenv('SECRET_KEY', 'more_deditated_wam') #pulls SECRET_KEY from env var, else sets as 'more_detitaded_wam'
+app.config['SECRET_KEY'] = SECRET_KEY
+
 pages = FlatPages(app)
 freezer = Freezer(app)
 
@@ -38,6 +41,3 @@ def home():
     freezer.freeze()
     copyfile('build/index.html', 'index.html')
     shutil.rmtree('build/')
-    # print(stonks)
-    # app.run(host='0.0.0.0', port='5000')  # run the app on LAN
-    # app.run()  # run the app on your machine