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@@ -0,0 +1,1900 @@
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+{
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+ "cells": [
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+ {
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+ "cell_type": "markdown",
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+ "metadata": {},
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+ "source": [
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+ "# Stock Price Data"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 45,
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+ "metadata": {
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+ "collapsed": false
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+ },
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+ "outputs": [],
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+ "source": [
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+ "import concurrent.futures\n",
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+ "import os\n",
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+ "\n",
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+ "def read_file(filename):\n",
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+ " with open(filename, 'r') as f:\n",
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+ " data = f.read().strip()\n",
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+ " key = filename.replace(\".csv\", \"\").replace(\"prices/\", \"\")\n",
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+ " data = data.split(\"\\n\")\n",
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+ " data = [d.split(\",\") for d in data]\n",
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+ " return key, data\n",
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+ "\n",
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+ "results = []\n",
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+ "pool = concurrent.futures.ProcessPoolExecutor(max_workers=2)\n",
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+ "filenames = [\"prices/{}\".format(f) for f in os.listdir(\"prices\")]\n",
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+ "prices = pool.map(read_file, filenames)\n",
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+ "prices = list(prices)\n",
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+ "prices = dict(prices)"
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+ ]
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+ },
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+ {
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+ "cell_type": "markdown",
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+ "metadata": {},
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+ "source": [
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+ "I chose to use a hash table, then a list, then another list. This is because it closely mirrors the existing structure of the data. It allows stock symbols to be easily looked up, and enables me to index values efficiently."
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+ ]
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+ },
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+ {
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+ "cell_type": "markdown",
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+ "metadata": {},
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+ "source": [
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+ "# Computing Aggregates"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 46,
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+ "metadata": {
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+ "collapsed": false
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+ },
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+ "outputs": [],
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+ "source": [
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+ "from dateutil.parser import parse\n",
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+ "\n",
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+ "prices_columns = {}\n",
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+ "\n",
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+ "for k,v in prices.items():\n",
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+ " price = v\n",
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+ " headers = price[0]\n",
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+ " price_columns = {}\n",
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+ " for i, header in enumerate(headers):\n",
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+ " values = [p[i] for p in price[1:]]\n",
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+ " if i > 0:\n",
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+ " values = [float(v) for v in values]\n",
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+ " else:\n",
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+ " values = [parse(v) for v in values]\n",
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+ " price_columns[header] = values\n",
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+ " prices_columns[k] = price_columns"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 47,
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+ "metadata": {
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+ "collapsed": false
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+ },
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+ "outputs": [],
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+ "source": [
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+ "from statistics import mean\n",
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+ "\n",
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+ "average_closing = {}\n",
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+ "for k,v in prices_columns.items():\n",
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+ " average_closing[k] = mean(v[\"close\"])"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 48,
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+ "metadata": {
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+ "collapsed": false
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+ },
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+ "outputs": [
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+ {
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+ "data": {
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+ "text/plain": [
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+ "[('blfs', 0.8122763011583011),\n",
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+ " ('apdn', 0.8241009938223938),\n",
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+ " ('bmra', 0.901011583011583),\n",
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+ " ('bcli', 0.9969415324324323),\n",
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+ " ('cyrx', 1.1615408884169884),\n",
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+ " ('clrb', 1.2045711436293436),\n",
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+ " ('cpst', 1.206953667953668),\n",
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+ " ('csbr', 1.2282443845854418),\n",
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+ " ('egt', 1.3293513513513513),\n",
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+ " ('aemd', 1.398042471042471),\n",
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+ " ('dfbg', 1.4005010393822395),\n",
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+ " ('alqa', 1.405298283011583),\n",
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+ " ('cpah', 1.4116189448441248),\n",
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+ " ('astc', 1.4152123552123552),\n",
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+ " ('chci', 1.4581224154440156),\n",
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+ " ('ctic', 1.494366311969112),\n",
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+ " ('eltk', 1.5323436293436294),\n",
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+ " ('dzsi', 1.5382316602316601),\n",
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+ " ('cool', 1.5475988922779924),\n",
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+ " ('cgnt', 1.5946138996138997),\n",
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+ " ('creg', 1.6028996138996139),\n",
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+ " ('casi', 1.617906349034749),\n",
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+ " ('admp', 1.7122164397683397),\n",
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+ " ('bnso', 1.7172548262548262),\n",
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+ " ('aezs', 1.7391445949806952),\n",
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+ " ('dynt', 1.822119691119691),\n",
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+ " ('apps', 1.8256061776061776),\n",
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+ " ('dysl', 1.8631660231660232),\n",
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+ " ('apri', 1.8681738996138995),\n",
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+ " ('crds', 1.8903166015444017),\n",
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+ " ('dlhc', 1.8903745173745172),\n",
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+ " ('cur', 1.907691699604743),\n",
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+ " ('ardm', 1.928069498069498),\n",
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+ " ('cpsh', 1.9615839865149602),\n",
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+ " ('cprx', 1.9762007722007722),\n",
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+ " ('cidm', 1.9935057915057917),\n",
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+ " ('cytr', 1.9986748837837838),\n",
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+ " ('atrs', 2.035023166023166),\n",
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+ " ('dram', 2.0592628378378377),\n",
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+ " ('artx', 2.0992316602316605),\n",
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+ " ('aris', 2.1661389961389963),\n",
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+ " ('cfbk', 2.174841698841699),\n",
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+ " ('crtn', 2.1850579150579152),\n",
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+ " ('bosc', 2.188019305019305),\n",
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+ " ('ffhl', 2.192687258687259),\n",
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+ " ('emms', 2.2464208494208493),\n",
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+ " ('abio', 2.2518008),\n",
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+ " ('clbs', 2.2820694980694984),\n",
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+ " ('bldp', 2.3273861003861005),\n",
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+ " ('drrx', 2.3527799227799227),\n",
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+ " ('camt', 2.402606177606178),\n",
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+ " ('basi', 2.4194633204633202),\n",
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+ " ('cbak', 2.4378957528957526),\n",
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+ " ('cthr', 2.4644787644787645),\n",
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+ " ('cris', 2.4645714285714284),\n",
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+ " ('fll', 2.4715752895752896),\n",
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+ " ('capr', 2.473247462919594),\n",
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+ " ('cemi', 2.4821776061776064),\n",
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+ " ('casm', 2.4918),\n",
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+ " ('abeo', 2.593220077220077),\n",
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+ " ('cdor', 2.6057721938223937),\n",
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+ " ('aehr', 2.6085559845559847),\n",
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+ " ('clwt', 2.6171322247104247),\n",
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+ " ('biol', 2.6383436347490345),\n",
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+ " ('cntf', 2.659563711969112),\n",
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+ " ('cycc', 2.667563561003861),\n",
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+ " ('aey', 2.6871505791505794),\n",
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+ " ('atec', 2.702578042857143),\n",
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+ " ('cyrn', 2.7131410714285717),\n",
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+ " ('dxtr', 2.7493397683397682),\n",
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+ " ('aame', 2.7796795366795366),\n",
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+ " ('asrv', 2.801169884169884),\n",
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+ " ('axas', 2.8366293436293435),\n",
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+ " ('dcth', 2.891166023166023),\n",
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+ " ('agen', 2.999889955984556),\n",
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+ " ('clsn', 3.00828185019305),\n",
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+ " ('drad', 3.053988416988417),\n",
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+ " ('casc', 3.062540716602317),\n",
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+ " ('arci', 3.1327799227799225),\n",
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+ " ('adxs', 3.166938612355212),\n",
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+ " ('apwc', 3.2336409266409265),\n",
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+ " ('edap', 3.2358030888030886),\n",
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+ " ('cui', 3.2413753598455597),\n",
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+ " ('cort', 3.2995482625482624),\n",
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+ " ('cytx', 3.3293219922779924),\n",
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+ " ('acls', 3.343806946718147),\n",
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+ " ('avir', 3.4036661768339767),\n",
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+ " ('ahpi', 3.4043899613899615),\n",
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+ " ('byfc', 3.4977644787644784),\n",
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+ " ('dswl', 3.529177606177606),\n",
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+ " ('extr', 3.5375019305019304),\n",
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+ " ('egan', 3.5465791505791504),\n",
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+ " ('cnit', 3.604745173745174),\n",
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+ " ('falc', 3.6092123552123554),\n",
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+ " ('cbli', 3.61026641042471),\n",
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+ " ('eng', 3.644196910810811),\n",
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+ " ('daio', 3.651555984555985),\n",
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+ " ('cmls', 3.678938223938224),\n",
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+ " ('dtrm', 3.7235559845559845),\n",
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+ " ('cbmx', 3.7302140003861),\n",
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+ " ('axgn', 3.82023166023166),\n",
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+ " ('axti', 3.8255212355212356),\n",
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+ " ('asur', 3.873123663706564),\n",
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+ " ('arql', 3.8744247104247105),\n",
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+ " ('cpss', 3.9003629343629345),\n",
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+ " ('evlv', 3.972590733590734),\n",
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+ " ('amrn', 3.992459461003861),\n",
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+ " ('cdti', 4.001780249420849),\n",
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+ " ('esxb', 4.032393822393822),\n",
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+ " ('else', 4.060752895752896),\n",
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+ " ('awre', 4.083567567567568),\n",
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+ " ('arwr', 4.130016216216216),\n",
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+ " ('cyan', 4.164428571428572),\n",
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+ " ('cers', 4.2464787644787645),\n",
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+ " ('fhco', 4.288459459459459),\n",
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+ " ('bsqr', 4.305370656370656),\n",
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+ " ('attu', 4.317359073359073),\n",
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+ " ('audc', 4.375227799227799),\n",
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+ " ('cnty', 4.444320463320464),\n",
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+ " ('emkr', 4.458320463320463),\n",
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+ " ('ctib', 4.690494208494208),\n",
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+ " ('cytk', 4.7425641938223935),\n",
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+ " ('bdsi', 4.8207065644787646),\n",
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+ " ('cgen', 4.882621621621621),\n",
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+ " ('arna', 4.915745173745174),\n",
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+ " ('cyccp', 4.965254826254826),\n",
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+ " ('ccur', 4.987629343629343),\n",
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+ " ('exfo', 4.995563706563707),\n",
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+ " ('arry', 5.182899613899614),\n",
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+ " ('edgw', 5.274084942084942),\n",
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+ " ('bwen', 5.326498072200772),\n",
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+ " ('bbgi', 5.338297297297298),\n",
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+ " ('eght', 5.531308880694981),\n",
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+ " ('eqfn', 5.558436266023166),\n",
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+ " ('acfc', 5.596733538610039),\n",
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+ " ('crme', 5.622293436293436),\n",
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+ " ('crws', 5.629305019305019),\n",
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+ " ('evol', 5.701853281853282),\n",
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+ " ('arcw', 5.706739867181467),\n",
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+ " ('avnw', 5.723947867953668),\n",
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+ " ('denn', 5.761945945945946),\n",
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+ " ('flws', 5.78195752895753),\n",
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+ " ('bios', 5.790710422779923),\n",
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+ " ('cwbc', 5.892640926640927),\n",
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+ " ('achn', 5.9411776069498075),\n",
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+ " ('educ', 5.948108107722008),\n",
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+ " ('cown', 5.948822393822394),\n",
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+ " ('alsk', 5.9955675694980695),\n",
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+ " ('atax', 5.999752895752896),\n",
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+ " ('amd', 6.005552123166024),\n",
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+ " ('dvax', 6.033752898455599),\n",
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+ " ('cspi', 6.0528571428571425),\n",
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+ " ('boch', 6.063119691119691),\n",
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+ " ('bcrx', 6.095837838223938),\n",
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+ " ('dwsn', 6.19491095945946),\n",
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+ " ('atlc', 6.211756745173745),\n",
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+ " ('abtl', 6.233108108494209),\n",
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+ " ('crnt', 6.269598454826254),\n",
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+ " ('dxyn', 6.331316601930502),\n",
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+ " ('cart', 6.340498070270271),\n",
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+ " ('bebe', 6.4181969498069495),\n",
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+ " ('exel', 6.616277998455599),\n",
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+ " ('bybk', 6.642911204633204),\n",
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+ " ('atsg', 6.652401541698842),\n",
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+ " ('cwst', 6.658471042471042),\n",
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+ " ('clro', 6.852370656370656),\n",
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+ " ('carv', 6.87222652972973),\n",
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+ " ('bldr', 6.9454671849420855),\n",
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+ " ('elon', 6.949154477992279),\n",
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+ " ('amkr', 6.955822393436294),\n",
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+ " ('cacb', 7.012756795366795),\n",
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+ " ('bgcp', 7.162189189189189),\n",
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+ " ('bde', 7.226011583011583),\n",
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+ " ('club', 7.270509651737451),\n",
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+ " ('bkmu', 7.306324324324325),\n",
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+ " ('czwi', 7.406482625482626),\n",
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+ " ('arlz', 7.441718146718147),\n",
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+ " ('artw', 7.46590346911197),\n",
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+ " ('caas', 7.633440158301158),\n",
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+ " ('cfcb', 7.65700699961375),\n",
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+ " ('brcd', 7.668254826254826),\n",
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+ " ('dvcr', 7.688459461389961),\n",
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+ " ('cuba', 7.751552123552123),\n",
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+ " ('aray', 7.887376223391812),\n",
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+ " ('dwch', 8.038034755212355),\n",
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+ " ('egle', 8.046072912741312),\n",
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+ " ('esca', 8.187945943243243),\n",
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+ " ('cban', 8.232640922779924),\n",
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+ " ('evbs', 8.45465635868726),\n",
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+ " ('axdx', 8.656428568339768),\n",
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+ " ('feim', 8.712000000000002),\n",
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+ " ('flex', 8.817428571814672),\n",
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+ " ('bvsn', 8.850015447876448),\n",
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+ " ('asys', 8.914054046332046),\n",
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+ " ('bsf', 8.928162200386101),\n",
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+ " ('brid', 8.972416988030888),\n",
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+ " ('elgx', 8.976440163706563),\n",
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+ " ('depo', 8.988274123938224),\n",
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+ " ('cldx', 9.006351276061777),\n",
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+ " ('cece', 9.062675674517374),\n",
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+ " ('dspg', 9.215841698069498),\n",
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+ " ('civb', 9.309308876833978),\n",
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+ " ('exas', 9.390011581081081),\n",
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+ " ('entg', 9.497733591505792),\n",
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+ " ('camp', 9.500046333590733),\n",
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+ " ('ctg', 9.576830107335908),\n",
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+ " ('cvcy', 9.671478766409265),\n",
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+ " ('dsgx', 9.768467180694982),\n",
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+ " ('czfc', 9.846169883783784),\n",
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+ " ('botj', 9.858123591891891),\n",
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
|
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|
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|
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|
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|
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|
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|
|
|
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|
|
|
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|
|
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|
|
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|
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|
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|
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|
|
|
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|
|
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|
|
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+ " ('fbss', 15.228308892277994),\n",
|
|
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+ " ('akrx', 15.387104233590733),\n",
|
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|
|
|
+ " ('cray', 15.423347486486486),\n",
|
|
|
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|
|
|
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|
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|
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|
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|
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|
|
|
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|
|
|
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|
|
|
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|
|
|
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|
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|
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|
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|
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|
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|
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|
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|
|
|
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|
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|
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|
|
|
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|
|
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
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|
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|
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|
|
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|
|
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|
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|
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|
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|
|
|
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|
|
|
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|
|
|
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|
|
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|
|
|
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|
|
|
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|
|
|
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|
|
|
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|
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|
|
|
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|
|
|
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|
|
|
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|
|
|
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|
|
|
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|
|
|
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|
|
|
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|
|
|
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|
|
|
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|
|
|
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|
|
|
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|
|
|
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|
|
|
+ " ('efii', 25.840223945945947),\n",
|
|
|
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|
|
|
+ " ('apog', 26.00773359150579),\n",
|
|
|
+ " ('banfp', 26.415837825482622),\n",
|
|
|
+ " ('chmg', 26.421312745173747),\n",
|
|
|
+ " ('exls', 26.46239382084942),\n",
|
|
|
+ " ('avav', 26.558296459060923),\n",
|
|
|
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|
|
|
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|
|
|
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|
|
|
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|
|
|
+ " ('crai', 27.154254832432432),\n",
|
|
|
+ " ('chfc', 27.265100385714284),\n",
|
|
|
+ " ('adra', 27.35145173976834),\n",
|
|
|
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|
|
|
+ " ('flic', 27.732250961776064),\n",
|
|
|
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|
|
|
+ " ('ecol', 28.210664105405407),\n",
|
|
|
+ " ('aciw', 28.27269496023166),\n",
|
|
|
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|
|
|
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|
|
|
+ " ('afam', 29.434312770656373),\n",
|
|
|
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|
|
|
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|
|
|
+ " ('amsf', 30.34488032162162),\n",
|
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|
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|
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|
|
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|
|
|
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|
|
|
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|
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|
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|
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|
|
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|
|
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|
|
|
+ " ('atro', 31.862567476833977),\n",
|
|
|
+ " ('cnmd', 31.917447902316603),\n",
|
|
|
+ " ('cigi', 32.206258406177604),\n",
|
|
|
+ " ('cash', 32.26195366332046),\n",
|
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|
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|
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|
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|
|
|
+ " ('ctbi', 32.61787694054054),\n",
|
|
|
+ " ('abmd', 33.22242086100386),\n",
|
|
|
+ " ('blkb', 33.75537838185328),\n",
|
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|
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|
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|
|
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|
|
|
+ " ('crzo', 34.66379924324325),\n",
|
|
|
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|
|
|
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|
|
|
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|
|
|
+ " ('eeft', 35.11525484749035),\n",
|
|
|
+ " ('ebay', 35.18885618648648),\n",
|
|
|
+ " ('cac', 35.50384555559845),\n",
|
|
|
+ " ('cmcsa', 35.904505792277995),\n",
|
|
|
+ " ('cree', 36.52946716216216),\n",
|
|
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+ " ('algn', 36.75162934864865),\n",
|
|
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|
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|
|
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+ " ('aste', 37.29283010849421),\n",
|
|
|
+ " ('ea', 37.33655212046332),\n",
|
|
|
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|
|
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|
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|
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|
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+ " ('ahgp', 38.20530885868726),\n",
|
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+ " ('calm', 38.32738610810811),\n",
|
|
|
+ " ('dxpe', 38.61513902084942),\n",
|
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+ " ('fele', 38.77260231583011),\n",
|
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|
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|
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|
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|
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|
|
|
+ " ('dish', 39.2437143050193),\n",
|
|
|
+ " ('bmrc', 39.3548107945946),\n",
|
|
|
+ " ('chco', 39.56640153011583),\n",
|
|
|
+ " ('discb', 39.65275737837838),\n",
|
|
|
+ " ('ccmp', 39.67996139150579),\n",
|
|
|
+ " ('esnd', 40.798293426640925),\n",
|
|
|
+ " ('agii', 40.817575337065634),\n",
|
|
|
+ " ('bcpc', 41.03619678301158),\n",
|
|
|
+ " ('ande', 41.82902698030888),\n",
|
|
|
+ " ('cass', 42.141633734749036),\n",
|
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|
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+ " ('adi', 42.24018144826255),\n",
|
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+ " ('adsk', 42.24759463281853),\n",
|
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|
|
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|
|
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+ " ('akam', 42.81851348687258),\n",
|
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+ " ('expd', 42.86821235366795),\n",
|
|
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+ " ('bbry', 43.67659082355212),\n",
|
|
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+ " ('core', 44.28576448223938),\n",
|
|
|
+ " ('aaww', 44.33160229034749),\n",
|
|
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+ " ('fast', 44.40756368957529),\n",
|
|
|
+ " ('cpsi', 44.44345173899614),\n",
|
|
|
+ " ('ctrp', 45.163220061389964),\n",
|
|
|
+ " ('expo', 46.09936678262548),\n",
|
|
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+ " ('airm', 46.918258888030884),\n",
|
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|
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|
|
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+ " ('atni', 47.67885716216216),\n",
|
|
|
+ " ('banf', 49.64349804169884),\n",
|
|
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+ " ('bbby', 50.183324364864866),\n",
|
|
|
+ " ('ctas', 50.47888414247104),\n",
|
|
|
+ " ('bmrn', 50.52171040733591),\n",
|
|
|
+ " ('cmpr', 51.058057920077225),\n",
|
|
|
+ " ('chkp', 51.12600387451738),\n",
|
|
|
+ " ('adbe', 51.199436284169884),\n",
|
|
|
+ " ('cvco', 53.36543631042471),\n",
|
|
|
+ " ('cohr', 53.71215058262549),\n",
|
|
|
+ " ('colm', 53.72719691235521),\n",
|
|
|
+ " ('expe', 53.78315830308881),\n",
|
|
|
+ " ('cpla', 54.80040545714285),\n",
|
|
|
+ " ('dwaq', 55.77838609343629),\n",
|
|
|
+ " ('bokf', 56.16893048532818),\n",
|
|
|
+ " ('dltr', 57.418077247490345),\n",
|
|
|
+ " ('ctsh', 57.91491119652509),\n",
|
|
|
+ " ('ctxs', 58.02012394942085),\n",
|
|
|
+ " ('casy', 58.495737440926646),\n",
|
|
|
+ " ('eslt', 58.57627412471042),\n",
|
|
|
+ " ('asml', 59.040315206563704),\n",
|
|
|
+ " ('adp', 61.03234735559845),\n",
|
|
|
+ " ('chrw', 61.98583785675676),\n",
|
|
|
+ " ('anss', 62.32520078146718),\n",
|
|
|
+ " ('acgl', 63.325907376833975),\n",
|
|
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+ " ('alog', 64.74335521467181),\n",
|
|
|
+ " ('cern', 65.04237453166023),\n",
|
|
|
+ " ('esrx', 67.4280848891892),\n",
|
|
|
+ " ('fisv', 67.52742853513513),\n",
|
|
|
+ " ('chdn', 72.21778764864865),\n",
|
|
|
+ " ('cbrl', 76.63736287992278),\n",
|
|
|
+ " ('cswc', 77.7559074069498),\n",
|
|
|
+ " ('coke', 80.56527417181468),\n",
|
|
|
+ " ('algt', 83.70168345444016),\n",
|
|
|
+ " ('celg', 85.09483015984556),\n",
|
|
|
+ " ('ffiv', 86.29457917374518),\n",
|
|
|
+ " ('bwld', 89.39383399150579),\n",
|
|
|
+ " ('amgn', 92.2331003965251),\n",
|
|
|
+ " ('cacc', 95.49895756602317),\n",
|
|
|
+ " ('cost', 96.17006946409266),\n",
|
|
|
+ " ('alxn', 97.1099267011583),\n",
|
|
|
+ " ('anat', 97.93825093397683),\n",
|
|
|
+ " ('csgp', 103.10355984362934),\n",
|
|
|
+ " ('dhil', 104.54806553783784),\n",
|
|
|
+ " ('djco', 110.25166789845561),\n",
|
|
|
+ " ('bbh', 113.28309655096525),\n",
|
|
|
+ " ('esgr', 114.26885330617759),\n",
|
|
|
+ " ('biib', 164.53822006138998),\n",
|
|
|
+ " ('eqix', 165.3847721150579),\n",
|
|
|
+ " ('bidu', 193.53191124478764),\n",
|
|
|
+ " ('fcnca', 200.25248278146717),\n",
|
|
|
+ " ('atri', 228.38977615984555),\n",
|
|
|
+ " ('cme', 230.2946601100386),\n",
|
|
|
+ " ('aapl', 257.17654040231656),\n",
|
|
|
+ " ('amzn', 275.13407757104244)]"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ "execution_count": 48,
|
|
|
+ "metadata": {},
|
|
|
+ "output_type": "execute_result"
|
|
|
+ }
|
|
|
+ ],
|
|
|
+ "source": [
|
|
|
+ "closing_tuples = [(k,v) for k,v in average_closing.items()]\n",
|
|
|
+ "sorted(closing_tuples, key=lambda x:x[1])"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "markdown",
|
|
|
+ "metadata": {},
|
|
|
+ "source": [
|
|
|
+ "It appears the `AMZN` and `AAPL` have the highest average closing prices, while `BLFS`, and `APDN` have the lowest average closing prices."
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "markdown",
|
|
|
+ "metadata": {},
|
|
|
+ "source": [
|
|
|
+ "# Finding The Most Traded Stock Each Day"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "code",
|
|
|
+ "execution_count": 49,
|
|
|
+ "metadata": {
|
|
|
+ "collapsed": false
|
|
|
+ },
|
|
|
+ "outputs": [],
|
|
|
+ "source": [
|
|
|
+ "trades = {}\n",
|
|
|
+ "for k, v in prices_columns.items():\n",
|
|
|
+ " for i,date in enumerate(v[\"date\"]):\n",
|
|
|
+ " if date not in trades:\n",
|
|
|
+ " trades[date] = []\n",
|
|
|
+ " trades[date].append([k,v[\"volume\"][i]])"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "code",
|
|
|
+ "execution_count": 50,
|
|
|
+ "metadata": {
|
|
|
+ "collapsed": false
|
|
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+ },
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+ "outputs": [
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|
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+ {
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+ "data": {
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+ "text/plain": [
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+ " [datetime.datetime(2010, 6, 9, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 6, 10, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 6, 11, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 6, 14, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 6, 15, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 6, 16, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 6, 17, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 6, 18, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 6, 21, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 6, 22, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 6, 23, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 6, 24, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 6, 25, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 6, 28, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 6, 29, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 6, 30, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 7, 1, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 7, 2, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 7, 6, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 7, 7, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 7, 8, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 7, 9, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 7, 12, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 7, 13, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 7, 14, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 7, 15, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 7, 16, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 7, 19, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 7, 20, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 7, 21, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 7, 22, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 7, 23, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 7, 26, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 7, 27, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 7, 28, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 7, 29, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 7, 30, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 8, 2, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 8, 3, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 8, 4, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 8, 5, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 8, 6, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 8, 9, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 8, 10, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 8, 11, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 8, 12, 0, 0), 'csco'],\n",
|
|
|
+ " [datetime.datetime(2010, 8, 13, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 8, 16, 0, 0), 'csco'],\n",
|
|
|
+ " [datetime.datetime(2010, 8, 17, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 8, 18, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 8, 19, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 8, 20, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 8, 23, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 8, 24, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 8, 25, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 8, 26, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 8, 27, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 8, 30, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 8, 31, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 9, 1, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 9, 2, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 9, 3, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 9, 7, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 9, 8, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 9, 9, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 9, 10, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 9, 13, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 9, 14, 0, 0), 'csco'],\n",
|
|
|
+ " [datetime.datetime(2010, 9, 15, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 9, 16, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 9, 17, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 9, 20, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 9, 21, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 9, 22, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 9, 23, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 9, 24, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 9, 27, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 9, 28, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 9, 29, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 9, 30, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 10, 1, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 10, 4, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 10, 5, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 10, 6, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 10, 7, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 10, 8, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 10, 11, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 10, 12, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 10, 13, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 10, 14, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 10, 15, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 10, 18, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 10, 19, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 10, 20, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 10, 21, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 10, 22, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 10, 25, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 10, 26, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 10, 27, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 10, 28, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 10, 29, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 11, 1, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 11, 2, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 11, 3, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 11, 4, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 11, 5, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 11, 8, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 11, 9, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 11, 10, 0, 0), 'csco'],\n",
|
|
|
+ " [datetime.datetime(2010, 11, 11, 0, 0), 'csco'],\n",
|
|
|
+ " [datetime.datetime(2010, 11, 12, 0, 0), 'csco'],\n",
|
|
|
+ " [datetime.datetime(2010, 11, 15, 0, 0), 'csco'],\n",
|
|
|
+ " [datetime.datetime(2010, 11, 16, 0, 0), 'csco'],\n",
|
|
|
+ " [datetime.datetime(2010, 11, 17, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 11, 18, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 11, 19, 0, 0), 'csco'],\n",
|
|
|
+ " [datetime.datetime(2010, 11, 22, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 11, 23, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 11, 24, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 11, 26, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 11, 29, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 11, 30, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 12, 1, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 12, 2, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 12, 3, 0, 0), 'csco'],\n",
|
|
|
+ " [datetime.datetime(2010, 12, 6, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 12, 7, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 12, 8, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 12, 9, 0, 0), 'csco'],\n",
|
|
|
+ " [datetime.datetime(2010, 12, 10, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 12, 13, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 12, 14, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 12, 15, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 12, 16, 0, 0), 'aapl'],\n",
|
|
|
+ " [datetime.datetime(2010, 12, 17, 0, 0), 'csco'],\n",
|
|
|
+ " [datetime.datetime(2010, 12, 20, 0, 0), 'aapl'],\n",
|
|
|
+ " ...]"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ "execution_count": 50,
|
|
|
+ "metadata": {},
|
|
|
+ "output_type": "execute_result"
|
|
|
+ }
|
|
|
+ ],
|
|
|
+ "source": [
|
|
|
+ "most_traded = []\n",
|
|
|
+ "for k, v in trades.items():\n",
|
|
|
+ " ordered = sorted(v, key=lambda x: x[1])\n",
|
|
|
+ " symbol = ordered[-1][0]\n",
|
|
|
+ " most_traded.append([k, symbol])\n",
|
|
|
+ "most_traded = sorted(most_traded, key=lambda x: x[0])\n",
|
|
|
+ "\n",
|
|
|
+ "most_traded"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "markdown",
|
|
|
+ "metadata": {},
|
|
|
+ "source": [
|
|
|
+ "# Searching For High Volume Days"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "code",
|
|
|
+ "execution_count": 51,
|
|
|
+ "metadata": {
|
|
|
+ "collapsed": false
|
|
|
+ },
|
|
|
+ "outputs": [],
|
|
|
+ "source": [
|
|
|
+ "daily_volumes = {}\n",
|
|
|
+ "\n",
|
|
|
+ "most_traded = []\n",
|
|
|
+ "for k, v in trades.items():\n",
|
|
|
+ " volume = sum([item[1] for item in v])\n",
|
|
|
+ " daily_volumes[k] = volume"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "code",
|
|
|
+ "execution_count": 52,
|
|
|
+ "metadata": {
|
|
|
+ "collapsed": false
|
|
|
+ },
|
|
|
+ "outputs": [
|
|
|
+ {
|
|
|
+ "data": {
|
|
|
+ "text/plain": [
|
|
|
+ "[[datetime.datetime(2008, 1, 24, 0, 0), 1533363200.0],\n",
|
|
|
+ " [datetime.datetime(2008, 1, 16, 0, 0), 1536176400.0],\n",
|
|
|
+ " [datetime.datetime(2007, 11, 8, 0, 0), 1553880500.0],\n",
|
|
|
+ " [datetime.datetime(2008, 9, 29, 0, 0), 1555072400.0],\n",
|
|
|
+ " [datetime.datetime(2008, 2, 7, 0, 0), 1559032100.0],\n",
|
|
|
+ " [datetime.datetime(2008, 1, 22, 0, 0), 1578877700.0],\n",
|
|
|
+ " [datetime.datetime(2008, 10, 8, 0, 0), 1599183500.0],\n",
|
|
|
+ " [datetime.datetime(2007, 7, 26, 0, 0), 1611272800.0],\n",
|
|
|
+ " [datetime.datetime(2008, 10, 10, 0, 0), 1770266900.0],\n",
|
|
|
+ " [datetime.datetime(2008, 1, 23, 0, 0), 1964583900.0]]"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ "execution_count": 52,
|
|
|
+ "metadata": {},
|
|
|
+ "output_type": "execute_result"
|
|
|
+ }
|
|
|
+ ],
|
|
|
+ "source": [
|
|
|
+ "volume_tuples = [[k,v] for k,v in daily_volumes.items()]\n",
|
|
|
+ "volume_tuples = sorted(volume_tuples, key=lambda x: x[1])\n",
|
|
|
+ "\n",
|
|
|
+ "volume_tuples[-10:]"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "code",
|
|
|
+ "execution_count": 53,
|
|
|
+ "metadata": {
|
|
|
+ "collapsed": false
|
|
|
+ },
|
|
|
+ "outputs": [],
|
|
|
+ "source": [
|
|
|
+ "import math\n",
|
|
|
+ "\n",
|
|
|
+ "high_volume_days = [v[0] for v in volume_tuples[-10:]]\n",
|
|
|
+ "\n",
|
|
|
+ "def binary_search(array, search):\n",
|
|
|
+ " m = 0\n",
|
|
|
+ " i = 0\n",
|
|
|
+ " z = len(array) - 1\n",
|
|
|
+ " while i<= z:\n",
|
|
|
+ " m = math.floor(i + ((z - i) / 2))\n",
|
|
|
+ " if array[m] == search:\n",
|
|
|
+ " return m\n",
|
|
|
+ " elif array[m] < search:\n",
|
|
|
+ " i = m + 1\n",
|
|
|
+ " elif array[m] > search:\n",
|
|
|
+ " z = m - 1\n",
|
|
|
+ "\n",
|
|
|
+ "high_volume_transactions = {}\n",
|
|
|
+ "for k,v in prices_columns.items():\n",
|
|
|
+ " for day in high_volume_days:\n",
|
|
|
+ " ind = binary_search(v[\"date\"], day)\n",
|
|
|
+ " if ind is None:\n",
|
|
|
+ " continue\n",
|
|
|
+ " if k not in high_volume_transactions:\n",
|
|
|
+ " high_volume_transactions[k] = []\n",
|
|
|
+ " high_volume_transactions[k].append(prices[k][ind])"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "markdown",
|
|
|
+ "metadata": {},
|
|
|
+ "source": [
|
|
|
+ "# Finding Profitable Stocks"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "code",
|
|
|
+ "execution_count": 54,
|
|
|
+ "metadata": {
|
|
|
+ "collapsed": false
|
|
|
+ },
|
|
|
+ "outputs": [
|
|
|
+ {
|
|
|
+ "data": {
|
|
|
+ "text/plain": [
|
|
|
+ "[['achc', 1330.0000666666667],\n",
|
|
|
+ " ['bcli', 1339.2137535980346],\n",
|
|
|
+ " ['cui', 1525.1625162516252],\n",
|
|
|
+ " ['apdn', 1549.6700659868025],\n",
|
|
|
+ " ['anip', 1707.3554472785033],\n",
|
|
|
+ " ['amzn', 2230.7234281466817],\n",
|
|
|
+ " ['blfs', 2437.4365640858978],\n",
|
|
|
+ " ['arcw', 3898.60048982856],\n",
|
|
|
+ " ['adxs', 4005.0000000000005],\n",
|
|
|
+ " ['admp', 7483.8389225948395]]"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ "execution_count": 54,
|
|
|
+ "metadata": {},
|
|
|
+ "output_type": "execute_result"
|
|
|
+ }
|
|
|
+ ],
|
|
|
+ "source": [
|
|
|
+ "profits = []\n",
|
|
|
+ "for k,v in prices_columns.items():\n",
|
|
|
+ " percentage = (v[\"close\"][-1] - v[\"close\"][0]) / v[\"close\"][0]\n",
|
|
|
+ " profits.append([k,percentage * 100])\n",
|
|
|
+ "\n",
|
|
|
+ "profits = sorted(profits, key=lambda x: x[1])\n",
|
|
|
+ "\n",
|
|
|
+ "profits[-10:]"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "markdown",
|
|
|
+ "metadata": {},
|
|
|
+ "source": [
|
|
|
+ "The most profitable stock to buy in `2007` would have been `ADMP`, which appreciated from around `7` cents to its current price of `4.43`."
|
|
|
+ ]
|
|
|
+ }
|
|
|
+ ],
|
|
|
+ "metadata": {
|
|
|
+ "kernelspec": {
|
|
|
+ "display_name": "Python 3",
|
|
|
+ "language": "python",
|
|
|
+ "name": "python3"
|
|
|
+ },
|
|
|
+ "language_info": {
|
|
|
+ "codemirror_mode": {
|
|
|
+ "name": "ipython",
|
|
|
+ "version": 3
|
|
|
+ },
|
|
|
+ "file_extension": ".py",
|
|
|
+ "mimetype": "text/x-python",
|
|
|
+ "name": "python",
|
|
|
+ "nbconvert_exporter": "python",
|
|
|
+ "pygments_lexer": "ipython3",
|
|
|
+ "version": "3.4.2"
|
|
|
+ }
|
|
|
+ },
|
|
|
+ "nbformat": 4,
|
|
|
+ "nbformat_minor": 2
|
|
|
+}
|
Vik Paruchuri