backtesting_equity_investment_strats/Part1.2021.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# S32407- Learn how to use GPU's for more Accurate Backtesting of Equity Investment Strategies, NVIDIA\n",
    "\n",
    "## Part 1: Top Sharpe Ratio Investment Selection\n",
    "\n",
    "[Mark J. Bennett, Ph.D., contact info: mbennett@nvidia.com]\n",
    "[Financial Analytics book website](http://cambridge.org/FAR)\n",
    "\n",
    "Our first of two notebooks focuses on how to compute accurate returns and\n",
    "measure volatility. Then using using return and volatility we will examine\n",
    "the Sharpe Ratio, which simply divides the two statistics, as our way\n",
    "to judge the investment performance of all the stocks in the NYSE and\n",
    "NASDAQ markets.\n",
    "\n",
    "The Sharpe Ratio scales the log returns of a security by a measure of risk incurred by the investor.\n",
    "So we penaize for risk and reward for consistency. The best securites of all\n",
    "have high return and low risk.\n",
    "\n",
    "Our time window is November 2020 and 3 years prior to that point in time.\n",
    "Our price quote are at the end of day close with adjustments for any stock splits and added dividends.\n",
    "Yahoo! offers a quoting service and we have accessed that, as explained in the\n",
    "Financial Analytics book via the get.hist.quote() function in R and then gathered them\n",
    "into 2 very wide data frames (NYSE and NASDAQ) ready for importing here."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Definition: Sharpe Ratio for an Individual Stock Security\n",
    "\n",
    "<font size=\"+1\">A Security $j$ with $n$ Log Returns $R_j(t)$ for observations at $n+1$ times\n",
    "$0,1,...,t-1,t$\n",
    "<br><br>\n",
    "has a Sharpe Ratio $SR_j(t)$ at time $t$:\n",
    "$SR_j(t)={{E\\{R_j\\} - \\mu_f} \\over \\sqrt{E\\{(R_j - E\\{R_j\\})^2\\} }}\n",
    "= {{ \\bar{x}_j - \\mu_f} \\over \\sqrt{ {1 \\over {n-1} } \\sum_{t=1}^n (R_j(t) - \\bar{x}_j)^2 }} $\n",
    "where $\\bar{x}_j = {1 \\over n} \\sum_{t=1}^n R_j(t)$\n",
    "<br><br>\n",
    "$\n",
    "={{\\bar{x}_j - \\mu_f} \\over s_j} \\approx {\\bar{x}_j \\over s_j}\n",
    "$  where the log returns $R_j(t) = log({S_j(t)} / {S_j(t-1)})$\n",
    "<br><br>and $S_j(t)$ is the Stock Price at time $t$.\n",
    "<br><br>For our purposes, times $t$ occur at the daily market close.</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Annualizing Shape Ratios\n",
    "\n",
    "<font size=\"+1\">Our returns are daily and so is their volatility so we can scale them to become yearly,\n",
    "making them larger.\n",
    "There are 252 days in a typical trading year. To convert to annual Sharpe Ratios, begin with\n",
    "the formula from above:\n",
    "<br><br>\n",
    "$\n",
    "{{ 252 \\cdot (\\bar{x}_j - \\mu_f)} \\over \\sqrt{ 252 \\cdot {1 \\over {n-1} } \\sum_{t=1}^n (R_j(t) - \\bar{x}_j)^2}}\n",
    "\\approx {{252 \\cdot \\bar{x}_j} \\over \\sqrt{ 252 \\cdot {1 \\over {n-1} } \\sum_{t=1}^n (R_j(t) - \\bar{x}_j)^2}}\n",
    "= {{  \\sqrt{252} \\cdot \\sqrt{252} \\cdot \\bar{x}_j \\cdot} \\over {\\sqrt{252} \\cdot \\sqrt{ {1 \\over {n-1} } \n",
    "\\cdot \\sum_{t=1}^n (R_j(t) - \\bar{x}_j)^2 }}}\n",
    "= \\sqrt{252} \\cdot  SR_j(t)\n",
    "$\n",
    "which says to multiply by $\\sqrt{252}$ to annualize."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Imports and Constant Settings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np, sys, time\n",
    "import pandas as pd, time\n",
    "import matplotlib.pyplot as plt\n",
    "np.set_printoptions(threshold=1000)\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "k = 12 #top securities\n",
    "blockSz = 256\n",
    "\n",
    "fname1 = \"data/MVO3.2020.08/NYSE/prices.csv\"\n",
    "fname2 = \"data/MVO3.2020.08/NASDAQ/prices.csv\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Compare Gross, Net, Log Returns; 1st loss $S(0)=100;S(t)=80$ then gain $S(0)=80;S(t)=100$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# A) Try Gross Return:\n",
    "80.0/100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.19999999999999996"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# B) Try Net Return:\n",
    "80.0/100.0-1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.25"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# C) Try Gross Return:\n",
    "100.0/80.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.25"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# D) Try Net Return:\n",
    "100.0/80.0-1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.2231435513142097"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# E) Try Log Return:\n",
    "np.log(80.0/100.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.22314355131420976"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# F) Try Log Return:\n",
    "np.log(100.0/80.0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Note above: symmetry of Log Returns and similarity of Net Returns to Log Returns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import math\n",
    "math.isclose(np.log(100.0/80.0), -np.log(80.0/100.0), rel_tol=0.000001)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Start GPU with a Null Kernel written in Numba which simply writes index i into array arr[]\n",
    "### Observe the time in seconds can be thought of in seconds x 10^(-6) or microseconds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.25006532669067383 [ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19] \n",
      " [ 0  2  4  6  8 10 12 14 16 18 20 22 24 26 28 30 16 17 18 19]\n"
     ]
    }
   ],
   "source": [
    "import numpy\n",
    "from numba import cuda\n",
    "import cupy\n",
    "\n",
    "@cuda.jit\n",
    "def add(aryA, aryB, useBlockIdx=True):\n",
    "  j = (cuda.blockIdx.x * cuda.blockDim.x+cuda.threadIdx.x) if useBlockIdx else cuda.threadIdx.x\n",
    "  if j < aryA.shape[0]:\n",
    "    aryB[j] = aryA[j]+aryA[j]\n",
    "\n",
    "import time\n",
    "aryA = cupy.arange(20, dtype=cupy.int32)\n",
    "aryB = numpy.arange(20, dtype=cupy.int32)\n",
    "start = time.time()\n",
    "add[2, 20](aryA, aryB, False) #blockDim is 2 and threadDim is 16\n",
    "print(time.time()-start,aryA,'\\n',aryB)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Inspect NYSE Stock price data where final day is 2020.08.21\n",
    "### Observe 2 file lengths for NYSE and NASDAQ: header row on top"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "first two lines of one of two prices files:\n",
      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17.879999,7.55,70.614868,8.178864,7.70021,33.287331,56.058231,36.440613,26.904024,12.094585,35.509998,13.798858,17.25,12.820083,8.702374,15.807874,39.52816,4.895015,188.440994,12.525522,11.93999,138.162384,36.455914,32.450001,11.982162,25.654203,24.169127,63.095226,12.488879,41.450581,7.175112,9.32,5.841268,9.84,13.089409,17.16,58.178852,12.074494,69.583519,52.769917,15.692622,41.553101,6.562147,24.604183,25.657543,40.262562,47.514023,132.998398,18.772736,248.838379,50.192177,28.653027,73.60466,59.587681,48.432144,13.573616,28.59,8.819838,6.343163,6.296767,41.45837,10.816548,24.539322,47.496334,13.042452,16.733831,107.239998,10.620423,76.257904,12.77,68.042824,5.20868,16.93,32.900002,20.752884,89.676819,23.422276,35.5,7.0,155.521103,26.117544,12.289628,39.860001,25.827932,27.862015,136.064743,17.737341,36.945915,2.797883,8.052323,7.231906,11.207973,18.187315,4.010217,594.059998,18.784241,14.2,146.257782,38.700001,8.264767,11.697846,4.45,8.187652,16.053713,14.760962,52.540417,86.960144,11.201511,6.95,181.53064,16.66,9.98456,98.944153,7.863153,18.8036,41.900002,39.049999,20.000219,4.308524,32.286484,8.343517,32.790001,46.119968,51.0,8.998624,11.115164,17.049999,42.056885,12.2,39.486454,16.493351,10.602022,37.859131,4.202621,30.282578,15.359785,20.594637,81.638557,58.306625,101.05603,4.75,20.256119,375.993469,34.304462,7.868869,22.300053,13.992102,38.939999,6.493902,17.666098,54.130001,44.742359,38.650002,204.146927,27.785933,63.04987,15.190135,11.309542,15.951232,43.108891,25.110573,50.248653,8.636323,16.241545,26.846312,18.419153,14.737491,45.388981,11.62,32.08535,24.737009,55.091751,66.699997,9.803485,62.056965,41.343105,9.9782,12.625407,5.679181,12.119316,19.608189,74.269997,21.32239,87.678421,23.74,24.709999,11.50245,6.43,66.135208,60.596111,71.798927,54.419746,37.703335,15.052575,120.782349,24.419661,6.41,27.15,179.278732,33.580002,15.5,36.900002,7.8,80.86499,16.643223,2.538436,7.579005,24.163897,63.099998,32.247002,136.447998,12.925174,49.060173,20.383274,22.85113,4.141417,169.039993,5.407358,1.727161,77.575424,6.09592,36.450333,22.40361,18.261024,21.5058,3.015966,15.78,16.816662,15.04,32.559196,75.135338,20.661585,29.309999,23.393084,15.769916,22.549999,37.321835,3.750112,47.362995,15.859835,11.51359,14.2918,13.340059,28.388157,7.715993,45.373798,10.215375,3.918555,98.587349,14.373252,13.072826,3.369005,71.047302,19.922569,17.171658,67.343613,40.88932,16.15,30.94458,23.76124,18.296713,106.656265,31.311539,10.749821,2.49,21.850098,7.109996,21.01,18.799999,32.782433,46.960526,42.578445,29.580725,23.550779,44.751671,0.001591,52.217724,12.73355,10.724997,38.650002,37.832714,15.51217,38.012558,11.450468,39.75,12.126647,12.45,22.330841,58.454365,6.61,42.908005,24.790001,40.942245,18.778057,8.06066,8.1,52.210258,8.468534,86.599998,41.133667,17.933186,8.063352,125.402306,45.96891,73.815079,112.003998,42.060001,7.011007,78.245987,24.73,20.401672,68.252716,9.88065,71.234886,12.042525,15.104606,21.380697,73.869637,17.587673,12.87591,8.828129,51.952385,6.934779,13.772509,7.748469,8.340339,12.233395,8.795957,3.157518,69.700775,10.973016,8.658731,49.788677,101.630165,15.000385,74.55175,35.738194,27.08,11.869556,22.367195,15.808379,37.744648,39.358303,13.0,60.628193,48.866379,45.150002,30.46133,39.327953,7.9107,77.911438,24.284832,104.196365,10.626707,60.116955,11.39546,10.364292,54.869511,16.89249,4.503469,28.415705,11.037235,31.268187,13.509892,19.35,31.153128,31.01,21.342701,10.3366,41.779999,40.766949,20.813595,32.410843,17.680391,8.599028,34.592964,26.713762,64.996239,50.634937,9.004735,10.974769,11.5,15.6966,20.894154,10.582051,31.465509,23.147095,16.856213,47.930965,61.208569,125.087219,4.026557,5.844346,31.040001,10.867112,13.35,33.252201,20.386471,7.909236,69.214836,37.540001,27.204395,14.72,6.528145,13.018657,2.93959,13.149356,11.265221,9.482907,21.183197,105.060715,35.778614,50.1632,92.181252,27.27,8.2,146.990662,17.86087,16.072748,11.377477,16.839199,24.85,9.830463,16.450001,10.849473,51.429836,36.253868,39.472065,46.015457,92.97654,19.125187,32.223553,18.451933,100.929192,0.679,55.019802,15.051208,93.660004,14.168091,13.188533,57.32,10.986156,20.715569,65.981026,12.063736,21.649349,23.712248,37.372269,7.253338,3.911631,14.969574,3.399624,23.25,17.74,15.864324,65.855827,11.356894,9.54598,20.290001,3.129942,82.418594,13.95,11.21294,49.049999,19.85,105.809998,23.535662,34.583942,232.12619,8.322392,12.679837,21.0,14.294121,5.75,36.183025,11.655436,16.392031,12.35,26.389534,7.0244,128.248627,21.25,19.109993,33.672695,9.805308,19.743517,12.423506,10.875465,29.15,9.67205,23.536068,94.812599,69.114975,312.019989,34.145832\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prices files contain three years of daily prices for two exchanges:\n",
      "     756      756 13124434 data/MVO3.2020.08/NASDAQ/prices.csv\n",
      "     756      756 14687131 data/MVO3.2020.08/NYSE/prices.csv\n",
      "    1512     1512 27811565 total\n"
     ]
    }
   ],
   "source": [
    "! echo first two lines of one of two prices files:\n",
    "! head -2 data/MVO3.2020.08/NYSE/prices.csv\n",
    "! echo prices files contain three years of daily prices for two exchanges:\n",
    "! wc data/MVO3.2020.08/*/prices.csv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Read 2 prices.csv files (NYSE and NASDAQ) with ticker symbols in header row and prices in columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "All tickers:\n",
      "['CTBB', 'DY', 'ADM', 'NPV', 'SQNS', 'HMN', 'VEC', 'FRC', 'CABO', 'DTY', 'KRG', 'AXL', 'HUBB', 'SCHW', 'SHW', 'UBA', 'WBK', 'PSX', 'EV', 'ESNT', 'SF', 'PDM', 'JTD', 'LIN', 'NAV', 'ADS', 'RLJ', 'PBH', 'UNVR', 'PVH', 'NC', 'BWA', 'COP', 'PVG', 'VER', 'WMT', 'NXP', 'RMT', 'NCR', 'ATHM', 'DTF', 'SCI', 'JBT', 'FLY', 'IVR', 'CBH', 'SKT', 'AWR', 'SHAK', 'PE', 'V', 'MYOV', 'SRV', 'RDY', 'VBF', 'NAZ', 'CMP', 'IAG', 'GOF', 'NM', 'NWHM', 'CTR', 'PGP', 'TRNO', 'AM', 'TGP', 'CXW', 'SAM', 'CB', 'ABT', 'PRA', 'CUZ', 'RVT', 'MAXR', 'VIPS', 'JHG', 'CHT', 'FDP', 'SUZ', 'CHU', 'MDU', 'SAR', 'TTI', 'IPG', 'LAD', 'CNDT', 'ESRT', 'KMB', 'ASG', 'FBHS', 'STM', 'VGM', 'INVH', 'NBHC', 'ISD', 'WIT', 'TLYS', 'CHN', 'BSAC', 'RNGR', 'SHLX', 'FMX', 'NOM', 'NMT', 'A', 'EVT', 'MGM', 'IID', 'CCM', 'REVG', 'DL', 'TR', 'MGY', 'MDT', 'BNED', 'HON', 'IO', 'AG', 'EXC', 'GPMT', 'VNCE', 'UE', 'KBR', 'BIG', 'BTZ', 'SWX', 'SYX', 'ACP', 'PRU', 'NXR', 'BK', 'LEE', 'NGVT', 'CBD', 'JWN', 'KNL', 'VLO', 'MCN', 'HYB', 'CNQ', 'CP', 'SYY', 'MAC', 'CHH', 'PRO', 'DDS', 'TIF', 'EZT', 'TAK', 'HII', 'PGTI', 'TRGP', 'PBI', 'KFY', 'APD', 'MGU', 'LYB', 'PFO', 'VLT', 'LH', 'ESS', 'GSL', 'GNK', 'MFGP', 'NMFC', 'MPA', 'ELVT', 'WAB', 'WAT', 'USPH', 'HNP', 'DE', 'PDT', 'ASB', 'EVRG', 'SHI', 'PCK', 'SU', 'ATH', 'EURN', 'BDJ', 'WM', 'TWN', 'DAR', 'SNAP', 'PM', 'FIX', 'JHS', 'HQH', 'AAP', 'ABBV', 'KKR', 'THO', 'ARGD', 'TREX', 'PFN', 'NBR', 'RHP', 'ACN', 'CLGX', 'HASI', 'VTR', 'MCD', 'ZEN', 'TJX', 'BLX', 'MYI', 'CHL', 'JBK', 'FBC', 'CIF', 'GKOS', 'MUSA', 'CS', 'AGR', 'GPN', 'SUPV', 'PMM', 'KMPR', 'HEI', 'SCM', 'PJT', 'MTOR', 'NLS', 'CTS', 'BA', 'RZB', 'TVC', 'CIO', 'JBL', 'DUKH', 'NSA', 'NSC', 'FENG', 'ACV', 'NUV', 'BMY', 'QTWO', 'UGP', 'RPT', 'THQ', 'VRS', 'NIM', 'TNET', 'CEA', 'EOS', 'NIE', 'SYF', 'NRT', 'PSTG', 'MOV', 'TEO', 'ARC', 'RNP', 'CYH', 'NMS', 'BAF', 'MODN', 'AIW', 'ZTS', 'EME', 'AVD', 'BBDO', 'ECL', 'WFC', 'LFC', 'CEQP', 'FMC', 'UNP', 'NBLX', 'MCR', 'MUJ', 'APHA', 'AOD', 'PNI', 'FSM', 'GOLD', 'BSL', 'SNV', 'CSLT', 'AFB', 'DLB', 'MYN', 'HFC', 'CPK', 'TS', 'CVEO', 'IPHI', 'YPF', 'AMRC', 'DK', 'TOL', 'LRN', 'REXR', 'PRTY', 'AWI', 'UZB', 'ARMK', 'EDI', 'PDS', 'FRO', 'LDL', 'BAM', 'EPAM', 'JPS', 'MGF', 'RNR', 'BRC', 'TGI', 'HCHC', 'YEXT', 'ANF', 'UDR', 'VALE', 'CLPR', 'COE', 'DEO', 'MS', 'AMX', 'WPP', 'ENIC', 'PTR', 'USNA', 'CMC', 'RMD', 'KBH', 'PPR', 'ITCB', 'BTU', 'PMO', 'BME', 'FLS', 'SHG', 'INSI', 'NCV', 'PMT', 'PANW', 'LEO', 'NCA', 'KNX', 'DGX', 'PRLB', 'NGL', 'KODK', 'VFC', 'MMP', 'BXP', 'HOME', 'KSS', 'AIN', 'BABA', 'CDR', 'AEL', 'PVL', 'CGA', 'CBT', 'AFI', 'NGVC', 'ABM', 'DBL', 'SRI', 'PG', 'PPG', 'DVN', 'OII', 'WNS', 'MAIN', 'FAF', 'CTZ', 'FC', 'UN', 'NX', 'ARE', 'DMO', 'GATX', 'FLT', 'ARGO', 'ALLE', 'INSW', 'IDE', 'ENR', 'RRD', 'TCI', 'VAC', 'MSGN', 'MTRN', 'NIQ', 'RS', 'KOP', 'BCH', 'NRP', 'NRG', 'CX', 'OIA', 'INFY', 'TRQ', 'PK', 'SAIC', 'HOG', 'GCI', 'EQC', 'TPVY', 'ZYME', 'RGR', 'BBD', 'HRL', 'ENZ', 'CPB', 'CIR', 'DECK', 'MA', 'SMG', 'PGZ', 'VGI', 'PBA', 'BIT', 'BX', 'MVF', 'WPX', 'STK', 'STL', 'LDP', 'PXD', 'KREF', 'TTC', 'BFY', 'GNL', 'GYC', 'GNT', 'FMN', 'TWTR', 'LXFR', 'CAJ', 'SPLP', 'MOD', 'DSE', 'BFS', 'SOJB', 'HZN', 'ORN', 'ATTO', 'JFR', 'ACB', 'SJR', 'AAT', 'FCT', 'ZNH', 'AIG', 'BTO', 'OC', 'FIT', 'TDS', 'PYS', 'RM', 'LXP', 'RXN', 'CWT', 'MFV', 'PZN', 'KL', 'JHB', 'HCA', 'G', 'AR', 'SPXC', 'GE', 'FMY', 'BBDC', 'AXS', 'SEM', 'MT', 'THC', 'BGH', 'BSBR', 'JPM', 'AFL', 'OI', 'SWN', 'RWT', 'NNA', 'PKE', 'MUS', 'QUOT', 'WEA', 'DOC', 'MCS', 'WU', 'NVTA', 'LPI', 'GFY', 'OFG', 'CEO', 'OLN', 'AMT', 'CMD', 'BHC', 'RIG', 'AVNS', 'PEI', 'MCA', 'REX', 'IRM', 'TGH', 'WES', 'EC', 'SBS', 'BHR', 'KOF', 'AJG', 'FTAI', 'ETN', 'MRK', 'SUN', 'CLB', 'ZTR', 'RL', 'PPT', 'UBS', 'MITT', 'NKX', 'CIB', 'DQ', 'MLM', 'USB', 'SFL', 'MDLX', 'BCS', 'NOW', 'NGS', 'JEQ', 'VZ', 'NCB', 'DHT', 'FNV', 'NEU', 'ABR', 'CPRI', 'EQS', 'MGA', 'IT', 'IAE', 'RFI', 'RIO', 'PAR', 'SPE', 'NJV', 'BPT', 'VGR', 'PLOW', 'MRC', 'CTRA', 'BCC', 'AA', 'DNOW', 'TK', 'NNI', 'BIF', 'BEDU', 'TNC', 'GGT', 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'NVGS', 'RQI', 'IHD', 'BZM', 'COO', 'HUN', 'BMI', 'MCX', 'FDX', 'DTE', 'PNF', 'EPR', 'HLX', 'GMRE', 'EGP', 'BYD', 'DCO', 'CBZ', 'BSE', 'MHNC', 'SIX', 'IHIT', 'CAI', 'NXN', 'TCP', 'IQV', 'DCI', 'MYF', 'AZZ', 'AOS', 'MMU', 'WIA', 'MFA', 'GGB', 'IRT', 'TPX', 'MHK', 'THW', 'BBU', 'RF', 'MAS', 'TRU', 'OGS', 'HTY', 'BKD', 'SFUN', 'RHI', 'WRB', 'AFG', 'PMF', 'LUV', 'PPX', 'HSC', 'CLDR', 'NKE', 'CMS', 'RH', 'SCCO', 'CR', 'TEF', 'DKL', 'APRN', 'TPR', 'PBFX', 'DRUA', 'CARS', 'AYI', 'WBS', 'XPO', 'ORI', 'OMI', 'SID', 'ERJ', 'GTY', 'GME', 'ETV', 'VRTV', 'KIM', 'BFAM', 'BOX', 'TGT', 'ASPN', 'HPQ', 'FPH', 'NRK', 'EIX', 'VTA', 'CRS', 'ARCH', 'YELP', 'SLG', 'MSCI', 'NUW', 'H', 'SFE', 'IPI', 'AX', 'MFD', 'EFF', 'BUD', 'PIM', 'IGD', 'CHS', 'GHY', 'KEY', 'SAH', 'EGO', 'IGI', 'CNC', 'CSV', 'MXF', 'ASGN', 'AMP', 'JMP', 'PHI', 'OFC', 'WDR', 'KEX', 'NEV', 'EEA', 'YUM', 'MTB', 'CAF', 'ORAN', 'ICD', 'EMR', 'KRP', 'SO', 'MMD', 'CCJ', 'MDLQ', 'BZH', 'DKS', 'PCN', 'GCO', 'MYD', 'CMO', 'PPL', 'WRK', 'NXRT', 'JTA', 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'SWK', 'NVG', 'BYM', 'MMI', 'CAPL', 'ENIA', 'NOV', 'SPH', 'SNR', 'GLOP', 'HTD', 'NOAH', 'DMB', 'EDD', 'AYX', 'TTM', 'MOS', 'ALX', 'STE', 'CIM', 'CNX', 'MIXT', 'CMRE', 'MMT', 'CNHI', 'RELX', 'WMC', 'TAL', 'PLT', 'NMZ', 'LUB', 'CNI', 'BGT', 'ALEX', 'ODC', 'HPR', 'TDG', 'ST', 'WSM', 'SNA', 'AVY', 'DSX', 'IR', 'SEE', 'KMX', 'WRI', 'LEJU', 'HIX', 'LEN', 'MHI', 'NUO', 'SSTK', 'JCI', 'MZA', 'SXT', 'RZA', 'PWR', 'SHOP', 'AMN', 'MDC', 'KDP', 'AIZ', 'LPG', 'DSU', 'IBP', 'AEG', 'EMD', 'HSBC', 'WOW', 'MGP', 'URI', 'HPE', 'VVR', 'MSM', 'BHE', 'SQ', 'KYN', 'OSB', 'XYL', 'BOE', 'MAV', 'CEE', 'IBN', 'SAFE', 'MHN', 'FDEU', 'WLL', 'AMG', 'VAR', 'SLF', 'CPE', 'E', 'CLH', 'NOC', 'MBI', 'NAT', 'HIG', 'ING', 'SIG', 'JLS', 'HYI', 'GNW', 'BVN', 'EFX', 'MC', 'NL', 'SUM', 'VMO', 'NHA', 'CAE', 'RC', 'GHL', 'RSG', 'OKE', 'IEX', 'ZBH', 'MIY', 'CEN', 'RCI', 'CADE', 'MFT', 'GLOB', 'EXTN', 'MIN', 'IHG', 'NEWR', 'COTY', 'AIT', 'HUBS', 'IRL', 'MUX', 'CNP', 'XEC', 'DLX', 'HTH', 'GIL', 'FOE', 'MEI', 'FCAU', 'TEN', 'YRD', 'RRTS', 'CODI', 'PDI', 'ETG', 'EEX', 'GES', 'KTF', 'RRC', 'STON', 'LCI', 'TAC', 'PCQ', 'TPH', 'MSI', 'CW', 'CNO', 'GLP', 'JELD', 'NLSN', 'PAM', 'DAC', 'ALE', 'WEC', 'PAC', 'NYCB', 'JPI', 'CMCM', 'WPM', 'EL', 'WCN', 'ETM', 'TDF', 'JNJ', 'FBP', 'AZRE', 'NEM', 'CFR', 'PBB', 'IVH', 'INGR', 'TGNA', 'HCI', 'TECK', 'DRH', 'RPM', 'FAM', 'HLI', 'TD', 'KGC', 'KB', 'HEQ', 'GPS', 'AHT', 'AGCO', 'GLW', 'WD', 'MAN', 'COF', 'SQM', 'CKH', 'XRX', 'WBAI', 'BAH', 'DBD', 'ABEV', 'OCN', 'MTX', 'ATI', 'BHK', 'ASC', 'TEVA', 'SITC', 'VPG', 'ETB', 'AIR', 'RGS', 'IGT', 'EVC', 'RES', 'STN', 'BCEI', 'CLR', 'WLK', 'GRA', 'BP', 'FIF', 'AGM', 'QGEN', 'DEX', 'CELP', 'PSB', 'JP', 'EHT', 'MMS', 'HYT', 'ELF', 'SM', 'BGB', 'BURL', 'FRT', 'WAL', 'PHD', 'KN', 'BHLB', 'TEI', 'BSM', 'ARCO', 'CNA', 'ET', 'LC', 'ES', 'PCG', 'PYT', 'AHC', 'BAP', 'CHD', 'SMM', 'AWF', 'FSD', 'EVH', 'BMO', 'GHM', 'DELL', 'OSK', 'DDT', 'GAM', 'KSM', 'TDOC', 'ASX', 'BANC', 'MDP', 'AJRD', 'TPB', 'IIM', 'CTAA', 'WPG', 'APH', 'FICO', 'BIO', 'IVC', 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'RFP', 'GF', 'FTV', 'MX', 'OPY', 'RBC', 'KDMN', 'DXC', 'ITGR', 'TU', 'HGV', 'DPG', 'MG', 'FLC', 'CSL', 'SZC', 'CUBE', 'NXQ', 'CC', 'CVS', 'KRO', 'ATGE', 'NEE', 'SNDR', 'PNC', 'WTS', 'FIV', 'EVR', 'W', 'CF', 'QUAD', 'RYAM', 'TARO', 'PBF', 'PFS', 'JOE', 'NID', 'EBR', 'ETW', 'GNRC', 'CXO', 'CRY', 'GIB', 'SSD', 'ACM', 'GWRE', 'AON', 'BIP', 'LLY', 'TSN', 'NLY', 'CIG', 'ACRE', 'TPZ', 'TCF', 'PUMP', 'HIW', 'KEP', 'KMT', 'WTM', 'DAL', 'OAS', 'USM', 'NKG', 'SBI', 'RLI', 'THG', 'HRB', 'SPXX', 'FR', 'TRV', 'JRS', 'JRI', 'WWW', 'CFX', 'BDN', 'SOL', 'LADR', 'WTTR', 'NEP', 'GM', 'JAX', 'FLR', 'GRC', 'GJO', 'UFI', 'FIS', 'LW', 'ANH', 'PLD', 'FPF', 'ALB', 'MMC', 'FTK', 'DPZ', 'SNN', 'MANU', 'UNM', 'CE', 'NTG', 'CORR', 'MNR', 'VMI', 'LGI', 'MTT', 'GCP', 'GHC', 'BXMT', 'MTN', 'FCF', 'RMAX', 'BB', 'MLI', 'ED', 'TSM', 'FE', 'DLNG', 'KF', 'MUI', 'TPVG', 'PZC', 'RCL', 'HHC', 'ROG', 'UNH', 'OPP', 'TDA', 'EVN', 'OGE', 'OR', 'HD', 'GIM', 'HOV', 'DHX', 'SNP', 'FPI', 'SPG', 'HRC', 'NXC', 'VTN', 'MIC', 'CCL', 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'TSI', 'BBL', 'HCC', 'CWH', 'MNP', 'VJET', 'TLK', 'ASIX', 'ELU', 'EOI', 'HAE', 'TKR', 'IHC', 'EQT', 'NBB', 'GRX', 'HP', 'RBA', 'PKI', 'NFG', 'JRO', 'MTG', 'ENVA', 'EQNR', 'APAM', 'MSB', 'FTS', 'STAG', 'MFC', 'MCY', 'ENS', 'ITW', 'GCV', 'SAN', 'TDC', 'CATO', 'SEAS', 'ENB', 'AFC', 'BGIO', 'LOW', 'BHVN', 'GBL', 'TMST', 'MHF', 'DIAX', 'DRD', 'SHO', 'CVA', 'USAC', 'ENJ', 'CAT', 'HAL', 'OXY', 'CVX', 'SKX', 'RYI', 'SPGI', 'GJT', 'IFN', 'MQT', 'CLDT', 'TPC', 'CPAC', 'REV', 'RPAI', 'BWXT', 'APA', 'AGO', 'L', 'LCII', 'NSS', 'STC', 'GBAB', 'SAP', 'EGY', 'AEE', 'FCX', 'CRM', 'HT', 'BBK', 'DVA', 'VCV', 'FSK', 'BG', 'MHE', 'AMH', 'ECCY', 'PUK', 'RCS', 'CMU', 'GLT', 'ICL', 'MTDR', 'PARR', 'PCI', 'AEP', 'FFA', 'FOF', 'TMHC', 'MVO', 'TAP', 'TPRE', 'TNK', 'SITE', 'WK', 'CRL', 'BGS', 'BHP', 'RE', 'PYN', 'NZF', 'BW', 'JHI', 'KFS', 'LAZ', 'NXJ', 'DEA', 'TREC', 'CULP', 'MIE', 'MCO', 'CBB', 'WNC', 'FBK', 'ENBL', 'GJP', 'SC', 'MTR', 'GTT', 'EDF', 'IIF', 'SJM', 'SR', 'CMG', 'DIN', 'CVLT', 'IROQ', 'RCKT', 'CRVL', 'HURC', 'SPRT', 'STND', 'OXBR', 'LIND', 'MCFT', 'CGIX', 'USAK', 'ASET', 'SGRP', 'CAMT', 'UTHR', 'RGNX', 'IDCC', 'BPOPM', 'CPAH', 'CENTA', 'ZYXI', 'GPP', 'HSON', 'BLNK', 'HBAN', 'MOBL', 'SPNE', 'NNBR', 'QNST', 'MYT', 'BANFP', 'LSXMK', 'TSLA', 'AVID', 'FARM', 'OTLK', 'AKER', 'SRNE', 'CNXN', 'MGNX', 'INSM', 'GYRO', 'CPSI', 'SBUX', 'DSGX', 'OMAB', 'QDEL', 'UG', 'IESC', 'GENE', 'ABEO', 'CLCT', 'HLNE', 'GWRS', 'BRKR', 'BMRC', 'AAME', 'SAFT', 'USCR', 'FFWM', 'WW', 'TPIC', 'UONEK', 'PFIS', 'NVEC', 'WASH', 'NTEC', 'DLPN', 'SGA', 'SEIC', 'DZSI', 'HELE', 'DCOM', 'MHLD', 'VRNA', 'LAKE', 'TCMD', 'NWFL', 'PFMT', 'STRT', 'CHSCO', 'SP', 'STKS', 'SAMG', 'WVVI', 'AEY', 'CLVS', 'TCX', 'NSYS', 'AKBA', 'GNTX', 'TGEN', 'ALRM', 'LYTS', 'CLSN', 'SBGI', 'BMRA', 'HVBC', 'IVAC', 'GTLS', 'CUBA', 'TUSK', 'CARZ', 'CLMT', 'FLXN', 'SPHS', 'MYSZ', 'CSSE', 'WVE', 'LMFA', 'STRL', 'MINDP', 'MBII', 'IIVI', 'EYES', 'MOSY', 'BOOM', 'NEPT', 'PIRS', 'OFS', 'ISTR', 'EBMT', 'MELI', 'STCN', 'WILC', 'MRSN', 'BLCM', 'PXS', 'SYBX', 'TMDI', 'JOBS', 'RRGB', 'COMM', 'CATB', 'INFO', 'HAIN', 'FSBW', 'AVGR', 'ASYS', 'ASPU', 'NAKD', 'PEGA', 'CLXT', 'EEFT', 'VSAT', 'CAKE', 'OVBC', 'BVXV', 'BKNG', 'LRCX', 'EDIT', 'MANT', 'TRIB', 'CZWI', 'EDAP', 'ARWR', 'TXMD', 'VTSI', 'IPGP', 'GIGM', 'POOL', 'BKEP', 'AUDC', 'FCA', 'FCCY', 'GGAL', 'DGRE', 'CYBR', 'CSIQ', 'JCS', 'LQDT', 'CNSL', 'OPINI', 'FMAO', 'MGIC', 'AAPL', 'FAB', 'ARAY', 'TRMB', 'FITBI', 'BOMN', 'TLND', 'TWNK', 'TRST', 'APOP', 'NATI', 'WETF', 'FNLC', 'BOTJ', 'FLIC', 'ABUS', 'INCY', 'CLRO', 'NVDA', 'AGNC', 'MRLN', 'ACER', 'EBIX', 'FWP', 'IPAR', 'ACBI', 'SIEN', 'AGTC', 'PFG', 'CNCE', 'FNX', 'QIWI', 'HTBX', 'HWC', 'SMTX', 'ATVI', 'OSTK', 'DARE', 'DISH', 'HTBI', 'BWEN', 'JCOM', 'OCSI', 'LMAT', 'HRTX', 'CYBE', 'KBAL', 'RBBN', 'SYNH', 'JCTCF', 'CRAI', 'IMGN', 'DGICA', 'VIVE', 'SOHU', 'SHBI', 'PRTK', 'NUAN', 'WNEB', 'FTGC', 'MASI', 'BUSE', 'VIRC', 'LITE', 'EPAY', 'SND', 'NATR', 'VBTX', 'FONR', 'RDWR', 'MCEP', 'DTUS', 'DLHC', 'TCPC', 'BRKS', 'LSCC', 'ESEA', 'COHU', 'AMRS', 'AEIS', 'SEEL', 'TFSL', 'TMUS', 'ALLT', 'TIPT', 'OTEL', 'DMAC', 'ARGX', 'RAND', 'JRVR', 'UIHC', 'GFED', 'LAWS', 'NGHCP', 'UFPI', 'DRNA', 'PTNR', 'APEN', 'PACW', 'LANC', 'RAIL', 'INSE', 'GILT', 'SAIA', 'KALU', 'AVDL', 'CBAT', 'NDAQ', 'ACST', 'OXFD', 'BNSO', 'GABC', 'IRCP', 'TCBIL', 'SEDG', 'SYNC', 'FBNC', 'SUNS', 'RRR', 'FUSB', 'ESLT', 'PEBK', 'ATRA', 'FPRX', 'OVLY', 'LULU', 'ALT', 'SOXX', 'AMSF', 'ACGLP', 'BNFT', 'MORN', 'KBSF', 'ENSG', 'OZK', 'KPTI', 'QLC', 'SILC', 'CFRX', 'SMIT', 'GURE', 'CTIC', 'PLPC', 'CNET', 'ASTC', 'CSQ', 'KMPH', 'FFHL', 'LINC', 'GLYC', 'NURO', 'BYFC', 'INGN', 'EIGR', 'OPK', 'KRNY', 'YORW', 'III', 'VCYT', 'MFINL', 'DGICB', 'QADA', 'CJJD', 'OPI', 'CMRX', 'CLSD', 'CHSCL', 'SRCL', 'EXTR', 'TRCH', 'ALGN', 'SQBG', 'FELE', 'IBOC', 'OXLCM', 'CBRL', 'TWNKW', 'FORD', 'MATW', 'GALT', 'CKPT', 'SELB', 'NAVI', 'PMTS', 'PXLW', 'GOGL', 'MBSD', 'TYME', 'WERN', 'BIMI', 'BLDR', 'ALSK', 'BMRN', 'LPTX', 'CCMP', 'CTHR', 'CHRW', 'ASRVP', 'TEUM', 'FORM', 'GRID', 'ROCK', 'BSQR', 'IRBT', 'VTVT', 'IFGL', 'NEO', 'MKSI', 'XENT', 'MITK', 'XSPA', 'ACIA', 'YVR', 'VERU', 'EGRX', 'PEP', 'ROST', 'HALO', 'EXPD', 'LILA', 'BNTC', 'CENT', 'LHCG', 'SPWH', 'CNBKA', 'AKTS', 'MLHR', 'QQEW', 'RNWK', 'SLMBP', 'TWOU', 'LKFN', 'CASH', 'CTXS', 'TGA', 'PCRX', 'LCUT', 'MICT', 'EMCB', 'EVOL', 'HNNA', 'COUP', 'ERIE', 'AMCX', 'GCBC', 'MRKR', 'ALGT', 'MSFT', 'NAOV', 'RCKY', 'DGRW', 'GERN', 'AVNW', 'CDTX', 'WVVIP', 'CREG', 'INBK', 'CMCO', 'ALYA', 'FDUS', 'SCSC', 'KMDA', 'SVVC', 'SREV', 'FEMS', 'CGEN', 'CATY', 'MMLP', 'IMKTA', 'NTIC', 'CYCCP', 'GNCA', 'ZNGA', 'YGYI', 'YTEN', 'BLMN', 'CSCO', 'TRIL', 'ENTG', 'MIND', 'SYRS', 'PAYS', 'OBSV', 'UEPS', 'DORM', 'MRTN', 'BLUE', 'WSFS', 'FIVE', 'RGLD', 'IDRA', 'NOVN', 'IOVA', 'ODFL', 'CHSCP', 'OCSL', 'ACOR', 'CLNE', 'MPWR', 'EVLMC', 'PSTI', 'EVOK', 'ULTA', 'ZG', 'FB', 'MARA', 'RMBS', 'AMAT', 'HWKN', 'VKTX', 'BELFB', 'NUVA', 'OFLX', 'LFVN', 'SCVL', 'CODA', 'SVBI', 'EBAY', 'ATLO', 'FAD', 'CBMG', 'FRTA', 'SSKN', 'RMCF', 'NXTD', 'AGZD', 'AMED', 'BANX', 'QRHC', 'IBTX', 'EBSB', 'GRFS', 'AVT', 'DOX', 'HIMX', 'HIHO', 'SPNS', 'GLPG', 'OPOF', 'GTHX', 'POWL', 'ADMA', 'CNTY', 'IDXX', 'BPFH', 'CEVA', 'CBFV', 'AAOI', 'ANAB', 'SGRY', 'MXIM', 'STPP', 'CVGW', 'FBMS', 'WSBC', 'GOODM', 'LBTYA', 'SYNA', 'MGPI', 'TRVN', 'FTNT', 'GROW', 'ATOS', 'ANAT', 'EVGBC', 'PBHC', 'FOSL', 'TCCO', 'VRA', 'DXPE', 'CPTAG', 'TRIP', 'HBMD', 'LBRDK', 'GIII', 'JNCE', 'CRESY', 'ADMS', 'ANSS', 'COHR', 'SBAC', 'SNGX', 'MCRB', 'RGLS', 'MTP', 'SNPS', 'SCHL', 'VALU', 'SKYS', 'NMIH', 'PNBK', 'MTRX', 'ADXS', 'ANIK', 'SENEB', 'SCKT', 'EZPW', 'SHOO', 'IRDM', 'NRC', 'FCNCA', 'LTRX', 'SMMF', 'JRJC', 'RCON', 'PCTI', 'QBAK', 'IONS', 'MESO', 'AXGN', 'BLBD', 'APTO', 'GLDI', 'SHSP', 'SNDE', 'GOOG', 'TTOO', 'FGEN', 'QABA', 'ASRT', 'EGBN', 'EQBK', 'WBA', 'BBBY', 'CINF', 'TSC', 'CRBP', 'KFRC', 'ACNB', 'NWPX', 'FAST', 'QLYS', 'TTEK', 'PCSB', 'INDY', 'JVA', 'HBNC', 'DISCK', 'JAKK', 'OXLC', 'KOPN', 'PBYI', 'HOFT', 'SNSS', 'LOGI', 'OLED', 'COOP', 'IEA', 'HBANO', 'ON', 'CXDC', 'ASND', 'VC', 'IMMR', 'FULT', 'ZEUS', 'SAFM', 'CDOR', 'CCBG', 'SABR', 'ERIC', 'OCUL', 'AIMC', 'WDFC', 'BEAT', 'WING', 'BFC', 'SNDX', 'CTAS', 'ACAD', 'IRWD', 'GNTY', 'MIME', 'NWLI', 'CCIH', 'FEYE', 'AGLE', 'ATRS', 'BBSI', 'BKYI', 'NVIV', 'VTIP', 'AEGN', 'VNET', 'QRTEA', 'BRID', 'FSTR', 'TQQQ', 'TROW', 'PLXS', 'ABIO', 'MLCO', 'ANDE', 'AMOT', 'NGHCN', 'MFIN', 'ATOM', 'QTEC', 'ACWX', 'REPH', 'COLB', 'CORE', 'CVGI', 'NEOS', 'VRTX', 'NTNX', 'MNOV', 'FLWS', 'WSTG', 'CBSH', 'OPHC', 'ACIW', 'LECO', 'GVP', 'PFPT', 'NGHCZ', 'INVE', 'NVCR', 'EHTH', 'TPCO', 'ONB', 'CDMOP', 'DVCR', 'LNDC', 'NATH', 'PTE', 'ZBRA', 'DXGE', 'WVFC', 'LLNW', 'MNRO', 'TREE', 'JD', 'CBLI', 'IOSP', 'HROW', 'LIVX', 'CERS', 'LPCN', 'ARCB', 'AGEN', 'SMTC', 'ESBK', 'SPKEP', 'ACWI', 'CERN', 'STAA', 'UMPQ', 'WABC', 'DFVS', 'AMGN', 'DSKE', 'ITRN', 'CCXI', 'OPRX', 'LAUR', 'MIK', 'WRLD', 'PENN', 'MANH', 'DFVL', 'HWBK', 'ICAD', 'XBIT', 'EXLS', 'CBPO', 'EXFO', 'AGNCN', 'RDNT', 'FCEL', 'TACT', 'COCP', 'ESPR', 'NK', 'FEX', 'LE', 'ALOT', 'FKU', 'PDBC', 'COWN', 'DTEA', 'VNDA', 'ADI', 'OSPN', 'ELSE', 'URGN', 'BPRN', 'APDN', 'EFOI', 'ADMP', 'CLAR', 'IRIX', 'GEOS', 'WIX', 'SWKS', 'PMBC', 'CDMO', 'BPMC', 'SGMS', 'TANNI', 'LJPC', 'PRPL', 'FDTS', 'SGC', 'VSTM', 'GTYH', 'LBAI', 'LAMR', 'GWPH', 'MBUU', 'CPRX', 'STKL', 'CCLP', 'HOMB', 'BIS', 'CATM', 'VNOM', 'CUTR', 'TRMK', 'SKYW', 'JBHT', 'HLG', 'LSBK', 'VSEC', 'HEAR', 'MDIV', 'ISIG', 'HTGM', 'MBOT', 'CHNR', 'AMD', 'CBOE', 'EUFN', 'JACK', 'ITIC', 'WCFB', 'AAXN', 'ONCY', 'TILE', 'IPDN', 'CETX', 'CALM', 'TDIV', 'BOKFL', 'CDXS', 'WATT', 'TCBK', 'FRPH', 'HA', 'OVID', 'SONA', 'TGLS', 'ETSY', 'VIVO', 'FSLR', 'MEIP', 'FKO', 'XTLB', 'FEIM', 'UONE', 'FNK', 'UCTT', 'CDNA', 'GLAD', 'FJP', 'MGLN', 'FFBC', 'AXAS', 'BOCH', 'STAY', 'NNDM', 'BCBP', 'GRVY', 'WYNN', 'FBIZ', 'KIN', 'LPLA', 'AFMD', 'TANNL', 'KGJI', 'UPLD', 'JYNT', 'SYKE', 'EGLE', 'RGCO', 'CDW', 'PRIM', 'ACLS', 'CYAN', 'FLGT', 'ICCH', 'VICR', 'PFBC', 'GLBZ', 'AUPH', 'PRFT', 'ADES', 'CLRB', 'RESN', 'CLBS', 'LMNR', 'INFI', 'NXST', 'SMPL', 'NBIX', 'APWC', 'FNHC', 'NOVT', 'MDGS', 'REED', 'BLDP', 'SIFY', 'AVXL', 'HSKA', 'CHMA', 'AMSC', 'FDT', 'ORMP', 'MNSB', 'FFIC', 'MTCH', 'PFIN', 'UEIC', 'LANDP', 'ISNS', 'PCYO', 'LCNB', 'FHK', 'NWS', 'RGEN', 'AGFS', 'CTSO', 'VECO', 'LMNX', 'OPGN', 'TENX', 'URBN', 'GASS', 'PWOD', 'HBANN', 'SANW', 'SBFG', 'BASI', 'NEON', 'HFBL', 'HGSH', 'SESN', 'CHMG', 'EXPO', 'EA', 'HSIC', 'PAVMW', 'NVAX', 'FGM', 'CMPR', 'SBLK', 'ILMN', 'VEON', 'CHCO', 'LKOR', 'AINV', 'CLWT', 'NVFY', 'MRAM', 'RDCM', 'ATXI', 'EYPT', 'HQY', 'FPA', 'ALDX', 'RUSHA', 'EQIX', 'DTUL', 'CVCO', 'LMST', 'WTFC', 'ARTNA', 'ECHO', 'EFBI', 'CSX', 'GFN', 'TBNK', 'GWGH', 'CPSH', 'MAT', 'WEN', 'ONVO', 'INOD', 'ENLV', 'ATEC', 'NTES', 'DENN', 'PFSW', 'PESI', 'PTGX', 'AY', 'OPBK', 'BCOR', 'GLPI', 'AKTX', 'NEXT', 'OTEX', 'OPTT', 'AZRX', 'CSGP', 'INVA', 'CFBI', 'EBAYL', 'SFM', 'LIVE', 'GNUS', 'MU', 'BCPC', 'AQMS', 'CXSE', 'PDCO', 'CHSCM', 'CVBF', 'EGOV', 'NSIT', 'ARCC', 'TAPR', 'IMV', 'TTEC', 'MCRI', 'ALCO', 'EXAS', 'PTCT', 'ISRG', 'JJSF', 'WWR', 'BCLI', 'ULH', 'RCMT', 'AEMD', 'RAVN', 'FLEX', 'BKSC', 'PVAC', 'PLBC', 'CFFN', 'USAP', 'PTC', 'BYSI', 'VBLT', 'UNIT', 'LPSN', 'PEIX', 'NFBK', 'RCII', 'SFST', 'NH', 'TEAM', 'KNDI', 'JAZZ', 'ACRS', 'BPTH', 'CHKP', 'VIRT', 'AMRB', 'VLGEA', 'KALV', 'ORLY', 'TER', 'MARPS', 'UFPT', 'LOCO', 'TRUE', 'VRNT', 'HOLX', 'AMSWA', 'NGHCO', 'FLN', 'SANM', 'UBSI', 'MLND', 'TOUR', 'BGFV', 'BKEPP', 'ROBO', 'VERB', 'TRVG', 'RUTH', 'CAMP', 'GPRE', 'FRGI', 'SBNY', 'MDGL', 'STRS', 'RETA', 'BZUN', 'MRUS', 'SMED', 'STX', 'MBCN', 'QQQX', 'NBN', 'XENE', 'BCTF', 'TTWO', 'GBCI', 'MGEE', 'AMRK', 'GBDC', 'ANIP', 'TSEM', 'GTIM', 'INPX', 'PEBO', 'ICHR', 'FSV', 'ELOX', 'FNCB', 'CHEK', 'FMBI', 'BELFA', 'HAFC', 'ASRV', 'BJRI', 'RCM', 'BRQS', 'CMCSA', 'TYHT', 'CAC', 'CYTR', 'TCON', 'UFCS', 'FTEK', 'CPST', 'REGN', 'WSC', 'MLAB', 'GILD', 'EIGI', 'SCYX', 'PMD', 'SLNO', 'LSTR', 'PDEX', 'SYPR', 'AXSM', 'OSBC', 'TRUP', 'RDFN', 'ACHV', 'ICON', 'YRCW', 'NCTY', 'HOPE', 'SGBX', 'EKSO', 'SPI', 'GMLP', 'PBIP', 'OBCI', 'SSTI', 'CSOD', 'RMR', 'LUNA', 'PANL', 'CDXC', 'NXPI', 'USLM', 'STBA', 'AMTX', 'ECPG', 'CGNX', 'PRAA', 'PROV', 'FCAN', 'PAYX', 'MKGI', 'IRMD', 'FLNT', 'AAON', 'BMLP', 'FLAT', 'NSTG', 'WTBA', 'BBCP', 'MSVB', 'TELL', 'HTLD', 'SVA', 'VOD', 'KLAC', 'CCRC', 'RICK', 'ARCT', 'TTMI', 'PRQR', 'OMCL', 'RP', 'SPOK', 'VUZI', 'SOHO', 'GT', 'IMUX', 'CHRS', 'VRAY', 'PINC', 'FNY', 'TSCO', 'GLMD', 'CECE', 'BATRK', 'NWL', 'NICE', 'CNFR', 'USATP', 'TVTY', 'CHY', 'EFSC', 'NTCT', 'MTEM', 'SCOR', 'TANH', 'ZIOP', 'PNNT', 'LGIH', 'UNAM', 'CRMT', 'OBLN', 'SPKE', 'ADBE', 'AMPH', 'EVFM', 'IMRN', 'HMTV', 'GNMK', 'ABCB', 'VIAV', 'AYTU', 'ESSA', 'ATSG', 'NDSN', 'JSM', 'HWCC', 'CPHC', 'WOOD', 'SWIR', 'DXJS', 'TTGT', 'PGC', 'NYMT', 'FRAF', 'MMAC', 'KVHI', 'DVAX', 'IBB', 'CPLP', 'BHF', 'DHIL', 'PIXY', 'HALL', 'OKTA', 'HNRG', 'MDLZ', 'TTD', 'PCAR', 'CAAS', 'GSBC', 'ATRO', 'GAIA', 'XONE', 'KNSL', 'FCCO', 'LNTH', 'CSII', 'SPSC', 'IMOS', 'UHAL', 'JBLU', 'PULM', 'RVNC', 'LSXMB', 'CCD', 'FLIR', 'CBIO', 'GDEN', 'WSTL', 'VVPR', 'CBAY', 'SRAX', 'RADA', 'MOXC', 'UNB', 'WDC', 'NBTB', 'RAVE', 'FARO', 'SSNC', 'GOOGL', 'SBCF', 'KINS', 'COLL', 'MGRC', 'VCEL', 'CYRN', 'PYPL', 'RNET', 'ARAV', 'GLBS', 'DAKT', 'CIZN', 'KFFB', 'AIRT', 'SSB', 'ZIV', 'TRHC', 'BRKL', 'WSBF', 'CSBR', 'SSRM', 'TRS', 'HONE', 'TXRH', 'RIVE', 'SFNC', 'ICUI', 'IEP', 'BPOPN', 'AUTO', 'EMKR', 'QCLN', 'CRWS', 'CACC', 'ATRI', 'AOSL', 'NAII', 'MYRG', 'CMTL', 'FPAY', 'LPTH', 'NVCN', 'PLAB', 'BSET', 'BCOV', 'MBIO', 'PFLT', 'OTIC', 'ANGO', 'PKBK', 'PDSB', 'MNDO', 'MDRX', 'FOLD', 'PTEN', 'LMB', 'ONTX', 'MEOH', 'TAOP', 'SGOC', 'MTSI', 'FWONA', 'WLDN', 'EVSTC', 'ADOM', 'CASS', 'SKOR', 'FLDM', 'BDSI', 'GLDD', 'OESX', 'ODP', 'AZPN', 'MVIS', 'TA', 'PBCTP', 'RYAAY', 'CATC', 'HMST', 'FVCB', 'HYZD', 'EXPE', 'ANY', 'SPPI', 'XNET', 'CWCO', 'FMBH', 'TOWN', 'TNAV', 'NTGR', 'GECC', 'IKNX', 'FCFS', 'TBBK', 'RFIL', 'SPTN', 'KOSS', 'OTTW', 'SGEN', 'FMNB', 'MRVL', 'WORX', 'MEDP', 'DGLY', 'AEZS', 'XELA', 'MCHX', 'BFIN', 'MYGN', 'AVEO', 'CTSH', 'CENX', 'KELYB', 'PHUN', 'ICBK', 'LTRPA', 'TXN', 'FMK', 'OSUR', 'MARK', 'CREX', 'INSG', 'SMBC', 'ICLR', 'APEI', 'ICLN', 'GBLI', 'HSDT', 'BSRR', 'GAINM', 'NSEC', 'GIFI', 'SPCB', 'BOKF', 'CREE', 'ACGLO', 'MPAA', 'RUN', 'BCRX', 'HIBB', 'UMBF', 'STAF', 'BICK', 'MAR', 'ARLP', 'DFFN', 'AIRG', 'RBNC', 'OFIX', 'CHTR', 'HCM', 'CDZI', 'ORRF', 'CARA', 'POWI', 'GDS', 'CAR', 'PLUG', 'AXTI', 'DISCB', 'NDLS', 'CLLS', 'MACK', 'BSGM', 'FHB', 'QUMU', 'EVK', 'COST', 'FANH', 'RMTI', 'ACGL', 'GRPN', 'LAND', 'FRME', 'ARTW', 'SBSI', 'ZION', 'PRSC', 'REGI', 'NEWA', 'EGAN', 'CFFI', 'SIMO', 'METC', 'AAXJ', 'SVRA', 'TNXP', 'MKTX', 'FWRD', 'CCNE', 'ONCS', 'SOHOB', 'SLRC', 'INFN', 'MRNS', 'ATNI', 'ADTN', 'ITRI', 'RPD', 'ELTK', 'FLL', 'DGII', 'EPSN', 'FEM', 'SLS', 'CSPI', 'SGH', 'IRTC', 'KURA', 'NESR', 'IFMK', 'VIIX', 'GAIN', 'SGMO', 'SENEA', 'MLVF', 'CLDX', 'NERV', 'MAGS', 'EXEL', 'HIFS', 'GSM', 'STFC', 'QCOM', 'TOPS', 'ERII', 'PETS', 'LORL', 'HSII', 'WAFD', 'FCBC', 'PAVM', 'TANNZ', 'OCFC', 'CHDN', 'ATRC', 'ARDX', 'AVAV', 'WIRE', 'CSWC', 'WHLRD', 'AHPI', 'DAIO', 'TRNS', 'AMBA', 'TNDM', 'SUNW', 'NCMI', 'INTG', 'Z', 'LOPE', 'INBKL', 'NHTC', 'CIVB', 'GLUU', 'LMRK', 'JKHY', 'HURN', 'PSEC', 'CYCC', 'IDEX', 'AREC', 'FORR', 'ARKR', 'TAST', 'CSTE', 'PPIH', 'NTAP', 'LIFE', 'EMCF', 'PNFP', 'BL', 'PCH', 'WB', 'CELH', 'SBRA', 'TSRI', 'OMER', 'SAL', 'SSP', 'COLM', 'NICK', 'IIIN', 'CPTA', 'NYMTP', 'QCRH', 'FIVN', 'PTVCA', 'ROLL', 'UAL', 'ESCA', 'HCAP', 'BGNE', 'NBRV', 'OLLI', 'BECN', 'XNCR', 'CZNC', 'CVLY', 'OTTR', 'FEP', 'AEYE', 'FNWB', 'OXLCO', 'FFIN', 'NETE', 'SCWX', 'HAYN', 'NVEE', 'HFWA', 'TSBK', 'HBP', 'MNKD', 'STMP', 'EYEG', 'KTOS', 'RIOT', 'FISV', 'HUBG', 'NWBI', 'ITI', 'VYGR', 'ESG', 'VTNR', 'BLFS', 'MCBC', 'SSNT', 'KRNT', 'ALXN', 'TAIT', 'WTRH', 'HMHC', 'ADAP', 'PETQ', 'MSEX', 'NYMX', 'HEES', 'MVBF', 'ABTX', 'RILYZ', 'VXRT', 'MAYS', 'EARS', 'KELYA', 'MBWM', 'ANGI', 'ACHC', 'ISEE', 'SNY', 'CSGS', 'GRMN', 'ORGO', 'DISCA', 'CDNS', 'CPRT', 'SRPT', 'UNTY', 'CYTK', 'WIFI', 'PCYG', 'PDCE', 'WHLRP', 'SIVB', 'PRGS', 'PTVCB', 'BIOL', 'TECH', 'XELB', 'RDI', 'FFIV', 'TLGT', 'TTNP', 'VREX', 'MGI', 'BLRX', 'WHLR', 'XBIO', 'PRAH', 'FTA', 'RBCAA', 'DRRX', 'CHW', 'VOXX', 'HMSY', 'BKCC', 'SLGN', 'MTSC', 'SYNL', 'AMNB', 'MMSI', 'DMLP', 'OIIM', 'SSBI', 'PI', 'MOMO', 'BGCP', 'IMXI', 'NSSC', 'NDRA', 'JOUT', 'WTFCM', 'BIDU', 'VBIV', 'NWSA', 'GOOD', 'DGRS', 'DBVT', 'TEDU', 'HMNF', 'NTRS', 'MTSL', 'NEOG', 'QRTEB', 'LXRX', 'DXYN', 'CVCY', 'CFBK', 'CASI', 'FISI', 'PLXP', 'NODK', 'HDSN', 'SLVO', 'WHF', 'PPSI', 'KE', 'MSON', 'ATAX', 'MNST', 'HCCI', 'TZOO', 'LILAK', 'MBRX', 'VTGN', 'NRIM', 'ATNX', 'KTCC', 'ORGS', 'CARV', 'CBAN', 'MGYR', 'SAVA', 'DYNT', 'SFBC', 'MOFG', 'AMRN', 'INOV', 'SEED', 'ENTA', 'SCHN', 'CTMX', 'NEWT', 'OCC', 'IPWR', 'RDUS', 'ALBO', 'BANR', 'VRTS', 'OXSQ', 'CHUY', 'ARNA', 'MDWD', 'DJCO', 'CAPR', 'NTLA', 'FBZ', 'MIDD', 'DXCM', 'AWRE', 'NHLD', 'UTSI', 'SYBT', 'HZNP', 'ZIXI', 'PRPH', 'REFR', 'PBCT', 'CDEV', 'DLTH', 'BPOP', 'NBEV', 'ATLC', 'HAS', 'MDCA', 'NTWK', 'GENC', 'ACTG', 'NYMTO', 'NCBS', 'ANIX', 'CWST', 'VRSK', 'FXNC', 'FVE', 'ALPN', 'ORBC', 'FRPT', 'PAAS', 'CALA', 'SMBK', 'LMRKO', 'DMRC', 'PSMT', 'APPS', 'XPER', 'CROX', 'BANF', 'APPF', 'LBRDA', 'CLDB', 'ISSC', 'WEYS', 'BBGI', 'FATE', 'CRNT', 'ADP', 'OBAS', 'CIDM', 'SINA', 'RELL', 'PPC', 'ALNY', 'PBPB', 'TCFC', 'PNRG', 'EAST', 'SHEN', 'FRSX', 'WLTW', 'ENG', 'AGIO', 'WLFC', 'VRNS', 'CLIR', 'PERI', 'VLY', 'UVSP', 'RILY', 'ENPH', 'MFNC', 'EMIF', 'KZIA', 'CTXR', 'CNOB', 'AAWW', 'CG', 'ESXB', 'GLNG', 'PRPO', 'USAU', 'SLP', 'CTBI', 'AAL', 'OMEX', 'CASY', 'FIZZ', 'ENDP', 'AGRX', 'TRNX', 'CHCI', 'AUBN', 'SIGA', 'CMCT', 'RARE', 'MRCC', 'FORTY', 'MNTX', 'FLXS', 'SNFCA', 'RNDB', 'SAGE', 'EVGN', 'CNMD', 'LOB', 'MRTX', 'MSBI', 'CYRX', 'MGEN', 'HTLF', 'IPLDP', 'EDUC', 'ACIU', 'ADRE', 'EBTC', 'GRBK', 'PLCE', 'PRGX', 'SHIP', 'QADB', 'LMRKP', 'HCSG', 'ZGNX', 'WWD', 'SCON', 'PATK', 'CIGI', 'IMTE', 'STRM', 'USEG', 'LFUS', 'THRM', 'SLAB', 'XEL', 'ZAGG', 'EPZM', 'SALM', 'CHSCN', 'SATS', 'SINT', 'FGBI', 'YNDX', 'BOSC', 'GLG', 'CRSP', 'GPRO', 'IBCP', 'AMWD', 'UBFO', 'LKQ', 'GOGO', 'AEHR', 'CERC', 'AERI', 'ONEQ', 'ABMD', 'CRUS', 'TITN', 'TACO', 'CYAD', 'HTHT', 'PVBC', 'MOGO', 'CCOI', 'KHC', 'SIEB', 'MCHP', 'FRBK', 'LTBR', 'TURN', 'QQQ', 'SASR', 'RMBL', 'SUMR', 'BLKB', 'BIOC', 'CTRN', 'HRZN', 'MRCY', 'FSFG', 'ZEAL', 'PLYA', 'PME', 'APVO', 'CWBC', 'BIIB', 'SGMA', 'GEVO', 'CHEF', 'SRTS', 'SBBP', 'EML', 'WKHS', 'GSIT', 'AMBC', 'CVV', 'KALA', 'HBIO', 'LOAN', 'IMMP', 'FBIO', 'USOI', 'SIGI', 'AVGO', 'TCBI', 'SLCT', 'XOMA', 'RIGL', 'DYSL', 'BIB', 'NKTR', 'CFMS', 'AQB', 'CARE', 'STLD', 'QURE', 'DTYL', 'HBCP', 'ZUMZ', 'QRVO', 'TBK', 'GFNCP', 'ACRX', 'ISBC', 'QUIK', 'RDIB', 'OFED', 'AMEH', 'PATI', 'NFLX', 'AXDX', 'PACB', 'JBSS', 'RIBT', 'BPY', 'RUSHB', 'TGTX', 'BDGE', 'KEQU', 'PLAY', 'INDB', 'SEAC', 'DOOO', 'FTC', 'CEMI', 'IDXG', 'PFIE', 'DSWL', 'AUB', 'PRTS', 'CRIS', 'ASPS', 'WINA', 'RVSB', 'UBOH', 'VRRM', 'QTNT', 'FOXF', 'XLRN', 'YY', 'SLM', 'SPLK', 'AMZN', 'ECOL', 'IAC', 'DYAI', 'EPIX', 'CCRN', 'FUND', 'TBPH', 'PFBI', 'DWSN', 'CGO', 'MSTR', 'DIOD', 'FRBA', 'GSUM', 'OSN', 'CRVS', 'VRTU', 'JAGX', 'PCOM', 'NVMI', 'FYC', 'CONN', 'HLIT', 'ASMB', 'YTRA', 'MMYT', 'IART', 'PCTY', 'FUNC', 'CDK', 'SFBS', 'UTMD', 'YRIV', 'LWAY', 'ASUR', 'MERC', 'HCKT', 'CTG', 'FDBC', 'ALRN', 'FYT', 'ESQ', 'ITCI', 'FCAP', 'SMMT', 'SGLB', 'HOLI', 'NTRA', 'QQXT', 'PDFS', 'XRAY', 'TESS', 'CPSS', 'POLA', 'LARK', 'FWONK', 'CLFD', 'VRSN', 'DXLG', 'SNCR', 'LIQT', 'RBB', 'CORT', 'PKOH', 'RDHL', 'PAHC', 'MPB', 'RWLK', 'UBCP', 'IZEA', 'PLUS', 'ALJJ', 'KLIC', 'SRCE', 'LNT', 'CZR', 'RNST', 'STRA', 'RKDA', 'MRIN', 'CTIB', 'APPN', 'DRIO', 'CSWI', 'FIBK', 'VISL', 'UCBI', 'ADUS', 'BCML', 'OSIS', 'CONE', 'HOVNP', 'NKSH', 'ZYNE', 'PLSE', 'TATT', 'SNES', 'ADSK', 'SNOA', 'CRTO', 'APOG', 'ULBI', 'PTMN', 'HWCPL', 'FBSS', 'ASML', 'IIN', 'ATHX', 'BMTC', 'SUPN', 'OPNT', 'CME', 'FYX', 'SINO', 'EVBG', 'SMSI', 'VBFC', 'WPRT', 'WDAY', 'SQQQ', 'ADYX', 'COKE', 'INTC', 'CHFS', 'FITB', 'USAT', 'HSTM', 'BLPH', 'PZZA', 'SELF', 'MTLS', 'MTEX', 'ADVM', 'AROW', 'PTSI', 'ALKS', 'ASTE', 'PODD', 'SRRA', 'RBCN', 'GLRE', 'LIVN', 'FANG', 'AMKR', 'MTBCP', 'THFF', 'CGBD', 'FFNW', 'CETXP', 'MTBC', 'HTBK', 'EWBC', 'PRTH', 'BATRA', 'ESGG', 'SIRI', 'WHLM', 'RMNI', 'LEDS', 'SSYS', 'TCBIP', 'FSZ', 'KIRK', 'AGYS', 'PRTA', 'ICFI', 'AKAM', 'CSTR', 'LBTYB', 'ZSAN', 'LBTYK', 'XLNX', 'INO', 'CPIX', 'PICO', 'REG', 'WTER', 'LGND', 'NXGN', 'PHIO', 'LLIT', 'DSPG', 'NCSM', 'CODX', 'DLTR', 'LSXMA', 'GBT', 'ROIC', 'ATHE', 'BWFG', 'FTFT', 'CTRE', 'SRDX', 'CPTAL', 'SPWR', 'ARCW', 'TWIN', 'PPBI', 'CHI', 'VERI', 'TAYD', 'INTU', 'ICPT', 'ICCC', 'SNBR', 'ESGR']\n",
      "4314\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CTBB</th>\n",
       "      <th>DY</th>\n",
       "      <th>ADM</th>\n",
       "      <th>NPV</th>\n",
       "      <th>SQNS</th>\n",
       "      <th>HMN</th>\n",
       "      <th>VEC</th>\n",
       "      <th>FRC</th>\n",
       "      <th>CABO</th>\n",
       "      <th>DTY</th>\n",
       "      <th>...</th>\n",
       "      <th>TWIN</th>\n",
       "      <th>PPBI</th>\n",
       "      <th>CHI</th>\n",
       "      <th>VERI</th>\n",
       "      <th>TAYD</th>\n",
       "      <th>INTU</th>\n",
       "      <th>ICPT</th>\n",
       "      <th>ICCC</th>\n",
       "      <th>SNBR</th>\n",
       "      <th>ESGR</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>20.441338</td>\n",
       "      <td>82.059998</td>\n",
       "      <td>37.333767</td>\n",
       "      <td>11.411190</td>\n",
       "      <td>12.80</td>\n",
       "      <td>32.237148</td>\n",
       "      <td>28.219999</td>\n",
       "      <td>95.414185</td>\n",
       "      <td>727.732971</td>\n",
       "      <td>22.477062</td>\n",
       "      <td>...</td>\n",
       "      <td>16.959999</td>\n",
       "      <td>33.666492</td>\n",
       "      <td>8.182853</td>\n",
       "      <td>13.190000</td>\n",
       "      <td>10.85</td>\n",
       "      <td>134.020370</td>\n",
       "      <td>112.010002</td>\n",
       "      <td>5.98</td>\n",
       "      <td>30.040001</td>\n",
       "      <td>203.199997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20.503246</td>\n",
       "      <td>82.099998</td>\n",
       "      <td>37.306953</td>\n",
       "      <td>11.506426</td>\n",
       "      <td>12.40</td>\n",
       "      <td>32.191872</td>\n",
       "      <td>28.370001</td>\n",
       "      <td>94.136513</td>\n",
       "      <td>720.367920</td>\n",
       "      <td>22.547781</td>\n",
       "      <td>...</td>\n",
       "      <td>17.040001</td>\n",
       "      <td>32.605766</td>\n",
       "      <td>8.190079</td>\n",
       "      <td>15.040000</td>\n",
       "      <td>11.11</td>\n",
       "      <td>134.127258</td>\n",
       "      <td>112.580002</td>\n",
       "      <td>6.02</td>\n",
       "      <td>29.670000</td>\n",
       "      <td>201.649994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20.568413</td>\n",
       "      <td>76.070000</td>\n",
       "      <td>37.414204</td>\n",
       "      <td>11.480454</td>\n",
       "      <td>12.60</td>\n",
       "      <td>32.191872</td>\n",
       "      <td>28.730000</td>\n",
       "      <td>94.663177</td>\n",
       "      <td>731.776123</td>\n",
       "      <td>22.489542</td>\n",
       "      <td>...</td>\n",
       "      <td>17.080000</td>\n",
       "      <td>32.651886</td>\n",
       "      <td>8.255137</td>\n",
       "      <td>16.660000</td>\n",
       "      <td>11.15</td>\n",
       "      <td>136.032120</td>\n",
       "      <td>114.099998</td>\n",
       "      <td>6.15</td>\n",
       "      <td>29.570000</td>\n",
       "      <td>201.399994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>20.658018</td>\n",
       "      <td>80.680000</td>\n",
       "      <td>36.931568</td>\n",
       "      <td>11.489111</td>\n",
       "      <td>12.40</td>\n",
       "      <td>31.829653</td>\n",
       "      <td>28.580000</td>\n",
       "      <td>94.653427</td>\n",
       "      <td>739.180237</td>\n",
       "      <td>22.630985</td>\n",
       "      <td>...</td>\n",
       "      <td>17.360001</td>\n",
       "      <td>32.651886</td>\n",
       "      <td>8.269595</td>\n",
       "      <td>15.560000</td>\n",
       "      <td>11.75</td>\n",
       "      <td>137.470459</td>\n",
       "      <td>116.610001</td>\n",
       "      <td>5.81</td>\n",
       "      <td>29.530001</td>\n",
       "      <td>207.550003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20.601812</td>\n",
       "      <td>81.760002</td>\n",
       "      <td>37.718094</td>\n",
       "      <td>11.480454</td>\n",
       "      <td>12.72</td>\n",
       "      <td>31.829653</td>\n",
       "      <td>28.889999</td>\n",
       "      <td>94.975281</td>\n",
       "      <td>737.728394</td>\n",
       "      <td>22.664267</td>\n",
       "      <td>...</td>\n",
       "      <td>17.360001</td>\n",
       "      <td>32.651886</td>\n",
       "      <td>8.298509</td>\n",
       "      <td>16.309999</td>\n",
       "      <td>11.70</td>\n",
       "      <td>137.907806</td>\n",
       "      <td>118.750000</td>\n",
       "      <td>6.12</td>\n",
       "      <td>30.450001</td>\n",
       "      <td>206.800003</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 4314 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        CTBB         DY        ADM        NPV   SQNS        HMN        VEC  \\\n",
       "0  20.441338  82.059998  37.333767  11.411190  12.80  32.237148  28.219999   \n",
       "1  20.503246  82.099998  37.306953  11.506426  12.40  32.191872  28.370001   \n",
       "2  20.568413  76.070000  37.414204  11.480454  12.60  32.191872  28.730000   \n",
       "3  20.658018  80.680000  36.931568  11.489111  12.40  31.829653  28.580000   \n",
       "4  20.601812  81.760002  37.718094  11.480454  12.72  31.829653  28.889999   \n",
       "\n",
       "         FRC        CABO        DTY  ...       TWIN       PPBI       CHI  \\\n",
       "0  95.414185  727.732971  22.477062  ...  16.959999  33.666492  8.182853   \n",
       "1  94.136513  720.367920  22.547781  ...  17.040001  32.605766  8.190079   \n",
       "2  94.663177  731.776123  22.489542  ...  17.080000  32.651886  8.255137   \n",
       "3  94.653427  739.180237  22.630985  ...  17.360001  32.651886  8.269595   \n",
       "4  94.975281  737.728394  22.664267  ...  17.360001  32.651886  8.298509   \n",
       "\n",
       "        VERI   TAYD        INTU        ICPT  ICCC       SNBR        ESGR  \n",
       "0  13.190000  10.85  134.020370  112.010002  5.98  30.040001  203.199997  \n",
       "1  15.040000  11.11  134.127258  112.580002  6.02  29.670000  201.649994  \n",
       "2  16.660000  11.15  136.032120  114.099998  6.15  29.570000  201.399994  \n",
       "3  15.560000  11.75  137.470459  116.610001  5.81  29.530001  207.550003  \n",
       "4  16.309999  11.70  137.907806  118.750000  6.12  30.450001  206.800003  \n",
       "\n",
       "[5 rows x 4314 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def readPrices():\n",
    "    #read NYSE and NASDAQ: 2 separate price files\n",
    "    df1 = pd.read_csv(fname1)\n",
    "    df2 = pd.read_csv(fname2)\n",
    "    return pd.concat([df1, df2], axis=1)\n",
    "\n",
    "#merge the ticker label sets:\n",
    "df = readPrices()\n",
    "prices = df.values\n",
    "lab  = df.columns.values.tolist()\n",
    "print('All tickers:')\n",
    "print(lab);print(len(lab))\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Observe dimensions of prices matrix S and also find dimensions of log ret matrix R"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(755, 4314)\n",
      "754\n",
      "4314\n"
     ]
    }
   ],
   "source": [
    "#obtain price data:\n",
    "print(prices.shape)\n",
    "Nminus1 = prices.shape[0]-1\n",
    "pp = prices.shape[1]\n",
    "print(Nminus1);print(pp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Find R from S using findR()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.083767s\n"
     ]
    }
   ],
   "source": [
    "def findR(prices,pp):\n",
    "  #compute log returns by column j:\n",
    "  Nminus1 = prices.shape[0]-1; pp = prices.shape[1]\n",
    "  R = np.empty([Nminus1, pp]).astype(np.float32)\n",
    "  for j in range(0,pp):\n",
    "    R[:,j] = np.diff(np.log(prices[:,j]))\n",
    "  return R\n",
    "\n",
    "start = time.time()\n",
    "findR(prices,pp)\n",
    "end   = time.time()\n",
    "print (\"%fs\" % ((end-start)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cudf.__version__ 0.17.0 numba.__version__ 0.53.0 cupy.__version__ 8.5.0\n",
      "pp 4314\n",
      "15.6 ms ± 479 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n",
      "0.014322519302368164 secs\n"
     ]
    }
   ],
   "source": [
    "import cudf, numba, cupy\n",
    "from cupy import log,diff\n",
    "from numba import cuda\n",
    "print('cudf.__version__',cudf.__version__,'numba.__version__',numba.__version__,\n",
    "      'cupy.__version__',cupy.__version__)\n",
    "\n",
    "@cuda.jit()\n",
    "def findR(prices,R,pp):\n",
    "  #compute log returns by column j:\n",
    "  j = cuda.blockIdx.x * cuda.blockDim.x+cuda.threadIdx.x\n",
    "  #for j in range(0,pp):\n",
    "  if j < pp:\n",
    "    for i in range(0,prices.shape[0]-1):\n",
    "      R[i,j] = math.log(prices[i+1,j]) - math.log(prices[i,j]) #cupy.diff(cupy.log(prices[:,j]))\n",
    "    \n",
    "print('pp',pp)  \n",
    "Nminus1 = prices.shape[0]-1; pp = prices.shape[1]\n",
    "R_result = cupy.empty([Nminus1, pp]).astype(np.float32)\n",
    "%timeit findR[(blockSz,1,1), (256,1,1)](prices,R_result,pp)\n",
    "start = time.time()\n",
    "findR[(blockSz,1,1), (256,1,1)](prices,R_result,pp)\n",
    "print(time.time()-start,'secs')\n",
    "#cudf.DataFrame(R[0:4,:]).tail(5)\n",
    "R_result.shape\n",
    "R = R_result.get()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Observe price charts for 4 typical security names and also log ret plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%pylab inline\n",
    "pylab.rcParams['figure.figsize'] = (12, 4)\n",
    "\n",
    "def plotSec(symbs,lab,prices,R):\n",
    "  fig, axes = plt.subplots(nrows=1, ncols=2)\n",
    "  axList = axes.flatten()\n",
    "  axIdx = 0; colors = ['red','gray','lime','blue']\n",
    "  for symb in symbs:\n",
    "    idx = np.where(np.array(lab)==symb)[0][0]\n",
    "    axList[0].set_title(','.join(symbs)+'('+','.join(colors)+')')\n",
    "    axList[0].plot(range(0,prices.shape[0]), prices[:,idx],color=colors[axIdx])\n",
    "    axList[1].set_title(\"Daily Prices&LogRets:ends in \"+'.'.join(fname1.split('/')[1].split('.')[1:3]))\n",
    "    #plt.subplot(1, 2, 2)\n",
    "    axList[1].plot(range(0,prices.shape[0]-1),\n",
    "                   np.round(R[:,idx],3),color=colors[axIdx])\n",
    "    axIdx += 1\n",
    "  fig.tight_layout()\n",
    "  plt.show()\n",
    "\n",
    "plotSec([\"SBUX\",\"GME\",\"UNP\",\"CVX\"],lab,prices,R)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get to know data: shape, 1st name, 1st row of prices, 1st row of R, mean&std of last col"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'numpy.ndarray'>\n",
      "(754, 4314)\n",
      "CTBB\n",
      "prices[:,0]\n",
      "[20.441338 20.503246 20.568413 20.658018 20.601812 20.576559 20.609142\n",
      " 20.641729 20.527685 20.625437 20.69875  20.658018 20.625437 20.674311\n",
      " 20.633583 20.576559 20.568413 20.543974 20.601    20.568413 20.535828\n",
      " 20.535828 20.543974 20.592852 20.568413 20.568413 20.511393 20.486956\n",
      " 20.511393 20.584705 20.535828 20.584705 20.625437 20.666166 20.649872\n",
      " 20.682455 20.649872 20.674311 20.723188 20.820936 20.666166 20.625437\n",
      " 20.666166 20.584705 20.543974 20.568413 20.592852 19.753822 19.721239\n",
      " 19.517591 19.297655 18.320147 18.312    18.67856  18.955523 18.979961\n",
      " 19.118443 19.403549 19.566469 19.346527 18.629688 18.760023 19.036985\n",
      " 19.15917  19.175465 19.102152 19.028839 19.0044   18.865923 18.833338\n",
      " 18.694853 18.751877 18.768171 18.874063 18.711145 18.727436 18.719294\n",
      " 18.66227  18.800751 18.906645 18.841478 18.694853 18.735586 18.629688\n",
      " 18.46677  18.499353 18.34458  17.448532 17.766222 17.920994 18.263124\n",
      " 18.40975  18.279415 18.303852 18.336437 18.279415 18.254978 18.140932\n",
      " 17.912849 17.790659 17.692909 17.627741 17.440386 17.310053 17.196011\n",
      " 16.43844  16.291813 16.617649 16.81315  16.927195 16.715401 16.747984\n",
      " 16.682816 16.568775 16.454735 16.723549 16.503609 16.405859 17.065672\n",
      " 17.415947 17.464823 17.375219 17.481113 17.67662  17.823242 17.803324\n",
      " 17.853123 17.878021 17.861422 17.969316 17.994225 17.927824 18.044024\n",
      " 18.127022 18.135317 18.135317 18.19342  18.21002  18.14362  18.010824\n",
      " 17.894625 17.753521 17.761826 17.604126 17.721983 17.886324 17.778423\n",
      " 17.786722 17.795027 17.712027 17.720325 17.712027 17.695423 17.695423\n",
      " 17.770123 17.811623 17.795027 17.720325 17.770123 17.761826 17.795027\n",
      " 17.803324 17.786722 17.803324 17.653925 17.662228 17.620726 17.728626\n",
      " 17.529428 17.570927 17.604126 17.463026 17.454727 17.612427 17.595827\n",
      " 17.720325 17.969316 18.218323 18.201719 18.103783 18.110422 18.077221\n",
      " 18.060621 18.102119 18.060621 18.118717 18.160219 18.110422 18.127022\n",
      " 18.199751 18.140553 18.335064 18.41118  18.597237 18.741009 18.910152\n",
      " 18.969353 18.580324 18.470383 18.512667 18.50421  18.597237 18.690266\n",
      " 18.56341  18.588779 18.495752 18.478838 18.385809 18.35198  18.225122\n",
      " 18.267412 18.250496 18.50421  18.580324 18.68181  18.757919 18.698721\n",
      " 18.715635 18.707178 18.715635 18.698721 18.690266 18.673351 18.664896\n",
      " 18.690266 18.850954 18.68181  18.68181  18.656435 18.554953 18.571865\n",
      " 18.538036 18.571865 18.453465 18.461924 18.436548 18.419638 18.436548\n",
      " 18.394266 18.724094 18.774836 18.749462 18.707178 18.673351 18.690266\n",
      " 18.690266 19.442949 19.874264 19.823521 19.815065 19.925007 19.984205\n",
      " 19.97575  19.933464 20.024679 20.205395 20.257023 20.60124  20.627056\n",
      " 20.61845  20.60124  20.627056 20.644264 20.489368 20.480761 20.437737\n",
      " 20.368893 20.308657 20.274237 20.257023 20.222605 19.990257 19.990257\n",
      " 19.964443 19.886995 19.577202 19.628834 19.508358 19.327646 19.353462\n",
      " 19.33625  19.370674 19.310434 19.215775 19.18996  19.215775 19.241596\n",
      " 19.30183  19.26741  19.31904  19.30183  19.215775 19.215775 19.155537\n",
      " 19.121119 19.069487 19.035061 18.983431 19.096163 19.121119 19.172752\n",
      " 19.310434 19.327646 19.405092 19.112511 19.181356 19.164145 19.215775\n",
      " 19.18996  19.232988 19.121119 18.871561 18.905983 18.837139 18.742481\n",
      " 18.742481 19.009249 18.663849 18.199226 18.321955 17.971294 17.7609\n",
      " 17.725834 17.454071 17.445307 17.541739 17.509302 17.419008 17.138475\n",
      " 16.770288 16.542358 15.928705 15.358883 15.49038  15.604343 15.630642\n",
      " 16.647552 16.428394 17.015747 17.182312 17.576803 17.603102 17.699533\n",
      " 17.795963 17.778435 18.015125 17.988829 17.883629 17.901161 17.7609\n",
      " 17.901161 17.664469 17.559269 17.103413 17.31381  17.690765 17.664469\n",
      " 17.962526 18.462217 18.611248 18.663849 18.646315 18.637548 18.286888\n",
      " 18.339487 18.321955 18.532351 18.725216 19.847322 19.742126 19.330097\n",
      " 19.479134 19.72459  20.040186 20.119083 20.162916 20.087954 20.257511\n",
      " 20.248587 19.07954  18.918907 19.097387 19.168783 19.365108 19.293716\n",
      " 19.32049  19.39188  19.409731 19.46327  19.614983 19.579287 19.757765\n",
      " 19.85593  19.704222 19.588211 19.891626 20.105803 20.177197 20.427065\n",
      " 20.48061  20.382446 20.337826 20.409224 20.427065 20.257511 19.918396\n",
      " 20.132574 20.105803 20.132574 20.159346 20.284283 20.319979 20.34675\n",
      " 20.355675 20.435989 20.418142 20.34675  20.319979 20.409224 20.5877\n",
      " 20.418142 20.418142 20.435989 20.400295 20.373522 20.328903 20.364597\n",
      " 20.34675  20.257511 20.328903 20.418142 20.560926 20.516308 20.328903\n",
      " 20.462763 20.453838 20.444916 20.560926 20.453838 20.471685 20.70426\n",
      " 20.885954 20.70426  20.749681 20.686089 20.677002 20.804192 20.78602\n",
      " 20.667919 20.667919 20.695171 20.740597 20.749681 20.831448 20.722427\n",
      " 20.867785 20.849613 20.895039 20.976801 21.122162 21.340193 21.394701\n",
      " 21.222092 21.213007 21.267513 21.222092 21.285685 21.258429 21.340193\n",
      " 21.376534 21.476465 21.62182  21.703587 21.830776 21.785349 21.82169\n",
      " 21.930704 21.903454 22.13966  21.967045 22.085146 22.212336 22.339521\n",
      " 22.384945 22.257761 22.43037  21.876196 21.985214 21.921619 21.985214\n",
      " 22.175993 22.194166 22.339521 22.39403  22.457623 22.303181 22.421286\n",
      " 22.412201 22.403114 22.566643 22.475794 22.593897 22.621153 22.711998\n",
      " 22.929939 22.994583 23.040758 23.086929 23.059227 23.105404 23.096167\n",
      " 23.086929 23.086929 23.068459 22.754477 22.91147  22.985348 23.013052\n",
      " 23.077694 23.105404 23.123871 23.105404 23.179277 23.225452 23.345505\n",
      " 23.474789 23.373209 23.308567 23.216219 23.225452 23.114635 23.151573\n",
      " 23.197748 23.151573 23.234686 23.410147 23.308567 23.410147 23.391678\n",
      " 23.354738 23.400913 23.447086 23.502495 23.410147 23.502495 23.456322\n",
      " 23.373209 23.474789 23.539433 23.465557 23.493259 23.484026 23.456322\n",
      " 23.410147 23.484026 23.474789 23.511732 23.484026 23.410147 23.493259\n",
      " 23.539433 23.520966 23.511732 23.520966 23.539433 23.585609 23.622549\n",
      " 23.553108 23.402969 23.290365 23.309132 23.35605  23.327898 23.478039\n",
      " 23.496805 23.581259 23.684479 23.740782 23.919071 23.919071 23.825235\n",
      " 23.844002 23.815851 23.844002 23.909687 23.919071 23.928453 23.862768\n",
      " 23.83462  23.909687 24.116131 24.228733 24.238119 24.228733 24.238119\n",
      " 24.313189 24.350723 24.350723 24.36949  24.350723 24.294418 24.266272\n",
      " 24.256886 24.285034 24.303804 24.294418 24.275652 24.266272 24.346031\n",
      " 24.256886 24.16305  24.200584 24.219349 24.238119 24.266272 24.275652\n",
      " 24.355413 24.407024 24.378876 24.331957 24.463327 24.47271  24.444559\n",
      " 24.491478 24.407024 24.116131 23.787699 23.928453 23.791145 23.276226\n",
      " 23.733932 23.886499 24.277456 24.096283 23.886499 22.56106  22.999697\n",
      " 22.427565 18.880346 20.968628 18.556139 18.737312 12.119658 15.638267\n",
      " 15.733624 16.057833 17.736084 19.719475 20.482315 19.690866 19.72901\n",
      " 19.91972  18.203325 18.146112 17.793297 18.565674 20.844667 20.911415\n",
      " 21.531225 21.197481 22.103357 21.617044 21.721935 22.122429 21.979393\n",
      " 21.140266 21.245161 21.693329 21.874504 21.922182 21.998465 22.35128\n",
      " 22.122429 21.845896 21.950788 21.98893  21.98893  22.093821 22.494314\n",
      " 22.789915 22.236855 22.03661  21.855433 21.826824 22.284531 22.360817\n",
      " 22.446636 22.408493 22.427565 22.456171 22.637344 22.484777 22.370352\n",
      " 22.475243 22.570595 22.570595 22.618275 22.675489 22.732702 22.885269\n",
      " 23.009232 22.217781 22.03661  21.826824 22.294065 22.513384 22.54199\n",
      " 22.675489 22.35128  22.370352 22.246389 22.208248 22.255924 22.170107\n",
      " 22.065214 22.303602 22.484777 22.637344 22.656418 22.646881 22.856663\n",
      " 22.904341 22.694557 22.808985 22.847126 22.932945 22.847126 22.875734\n",
      " 22.980625 23.037838 23.047375 23.161802 23.123657 23.219013 23.323902\n",
      " 23.276226 23.362047 23.381117 23.552757 23.695789 23.876965 24.067675\n",
      " 24.163982 24.163031 24.239315 24.220245 24.267921 24.220245 24.372812\n",
      " 24.306063 24.306063 24.286993 24.353743 24.487238 24.525381]\n",
      "R[:,0]\n",
      "[ 3.02399206e-03  3.17333452e-03  4.34697559e-03 -2.72449176e-03\n",
      " -1.22651784e-03  1.58224849e-03  1.57994276e-03 -5.54024382e-03\n",
      "  4.75065690e-03  3.54819209e-03 -1.96978706e-03 -1.57840503e-03\n",
      "  2.36679520e-03 -1.97192398e-03 -2.76747579e-03 -3.95965762e-04\n",
      " -1.18888752e-03  2.77195638e-03 -1.58306886e-03 -1.58548146e-03\n",
      "  0.00000000e+00  3.96593940e-04  2.37636338e-03 -1.18747575e-03\n",
      "  0.00000000e+00 -2.77606165e-03 -1.19209697e-03  1.19209697e-03\n",
      "  3.56783648e-03 -2.37725629e-03  2.37725629e-03  1.97679549e-03\n",
      "  1.97275029e-03 -7.88749428e-04  1.57663552e-03 -1.57663552e-03\n",
      "  1.18279422e-03  2.36135139e-03  4.70575225e-03 -7.46114878e-03\n",
      " -1.97275029e-03  1.97275029e-03 -3.94954579e-03 -1.98066235e-03\n",
      "  1.18888752e-03  1.18747575e-03 -4.15970348e-02 -1.65081478e-03\n",
      " -1.03800157e-02 -1.13325752e-02 -5.19822016e-02 -4.44800593e-04\n",
      "  1.98197588e-02  1.47189982e-02  1.28839817e-03  7.26973265e-03\n",
      "  1.48025164e-02  8.36134888e-03 -1.13044158e-02 -3.77564840e-02\n",
      "  6.97173225e-03  1.46554960e-02  6.39778608e-03  8.50145123e-04\n",
      " -3.83059843e-03 -3.84532847e-03 -1.28513924e-03 -7.31325243e-03\n",
      " -1.72868150e-03 -7.38035189e-03  3.04560876e-03  8.68549047e-04\n",
      "  5.62624820e-03 -8.66931584e-03  8.70278745e-04 -4.34857735e-04\n",
      " -3.05091799e-03  7.39297736e-03  5.61663182e-03 -3.45273130e-03\n",
      " -7.81247066e-03  2.17646477e-03 -5.66827273e-03 -8.78353696e-03\n",
      "  1.76285778e-03 -8.40159506e-03 -5.00786453e-02  1.80434957e-02\n",
      "  8.67386069e-03  1.89110693e-02  7.99647067e-03 -7.10485224e-03\n",
      "  1.33596617e-03  1.77864369e-03 -3.11460975e-03 -1.33775338e-03\n",
      " -6.26698835e-03 -1.26525452e-02 -6.84473244e-03 -5.50960656e-03\n",
      " -3.69008351e-03 -1.06853032e-02 -7.50112021e-03 -6.60999259e-03\n",
      " -4.50549424e-02 -8.95978324e-03  1.98026113e-02  1.16959950e-02\n",
      "  6.76018186e-03 -1.25909904e-02  1.94738281e-03 -3.89868510e-03\n",
      " -6.85930764e-03 -6.90662209e-03  1.62045676e-02 -1.32387616e-02\n",
      " -5.94055699e-03  3.94304320e-02  2.03173198e-02  2.80246302e-03\n",
      " -5.14374813e-03  6.07604533e-03  1.11218216e-02  8.26047361e-03\n",
      " -1.11815450e-03  2.79326946e-03  1.39363040e-03 -9.28889727e-04\n",
      "  6.02244493e-03  1.38523651e-03 -3.69695364e-03  6.46063033e-03\n",
      "  4.58920328e-03  4.57499467e-04  0.00000000e+00  3.19873774e-03\n",
      "  9.12001764e-04 -3.65300826e-03 -7.34607317e-03 -6.47252193e-03\n",
      " -7.91652594e-03  4.67685139e-04 -8.91824160e-03  6.67253975e-03\n",
      "  9.23055224e-03 -6.05086749e-03  4.66692902e-04  4.66812373e-04\n",
      " -4.67513595e-03  4.68385522e-04 -4.68385522e-04 -9.37881763e-04\n",
      "  0.00000000e+00  4.21254523e-03  2.33265781e-03 -9.32185503e-04\n",
      " -4.20675054e-03  2.80627795e-03 -4.67016333e-04  1.86748861e-03\n",
      "  4.66145197e-04 -9.32957570e-04  9.32957570e-04 -8.42704345e-03\n",
      "  4.70209779e-04 -2.35252525e-03  6.10479852e-03 -1.12995524e-02\n",
      "  2.36459263e-03  1.88764522e-03 -8.04746058e-03 -4.75345616e-04\n",
      "  8.99423193e-03 -9.42960789e-04  7.05051422e-03  1.39533505e-02\n",
      "  1.37622096e-02 -9.11805721e-04 -5.39511815e-03  3.66651715e-04\n",
      " -1.83493632e-03 -9.18704609e-04  2.29507056e-03 -2.29507056e-03\n",
      "  3.21155949e-03  2.28794012e-03 -2.74585886e-03  9.16179444e-04\n",
      "  4.00415948e-03 -3.25798336e-03  1.06653627e-02  4.14279662e-03\n",
      "  1.00549329e-02  7.70109612e-03  8.98480322e-03  3.12575628e-03\n",
      " -2.07215063e-02 -5.93464123e-03  2.28667026e-03 -4.56926733e-04\n",
      "  5.01474738e-03  4.98983217e-03 -6.81041460e-03  1.36568013e-03\n",
      " -5.01703518e-03 -9.14898643e-04 -5.04706847e-03 -1.84164650e-03\n",
      " -6.93649845e-03  2.31773546e-03 -9.26449604e-04  1.38060162e-02\n",
      "  4.10489738e-03  5.44715207e-03  4.06568684e-03 -3.16088414e-03\n",
      "  9.04145010e-04 -4.51970322e-04  4.51970322e-04 -9.04145010e-04\n",
      " -4.52272216e-04 -9.05426336e-04 -4.52886830e-04  1.35831314e-03\n",
      "  8.56066868e-03 -9.01319925e-03  0.00000000e+00 -1.35919638e-03\n",
      " -5.45436516e-03  9.11039650e-04 -1.82317977e-03  1.82317977e-03\n",
      " -6.39564358e-03  4.58291266e-04 -1.37545017e-03 -9.17620782e-04\n",
      "  9.17620782e-04 -2.29601329e-03  1.77721586e-02  2.70631886e-03\n",
      " -1.35240389e-03 -2.25775829e-03 -1.80987327e-03  9.05426336e-04\n",
      "  0.00000000e+00  3.94816324e-02  2.19411440e-02 -2.55646650e-03\n",
      " -4.26654995e-04  5.53306891e-03  2.96663563e-03 -4.23173653e-04\n",
      " -2.11911043e-03  4.56553558e-03  8.98418482e-03  2.55190022e-03\n",
      "  1.68497190e-02  1.25234399e-03 -4.17306088e-04 -8.35037848e-04\n",
      "  1.25234399e-03  8.33896338e-04 -7.53139099e-03 -4.20159777e-04\n",
      " -2.10291287e-03 -3.37416073e-03 -2.96163582e-03 -1.69628160e-03\n",
      " -8.49418517e-04 -1.70051015e-03 -1.15560330e-02  0.00000000e+00\n",
      " -1.29216351e-03 -3.88684077e-03 -1.57002751e-02  2.63388176e-03\n",
      " -6.15661871e-03 -9.30648297e-03  1.33481203e-03 -8.89745657e-04\n",
      "  1.77870027e-03 -3.11470125e-03 -4.91401553e-03 -1.34433073e-03\n",
      "  1.34433073e-03  1.34283770e-03  3.12551600e-03 -1.78484246e-03\n",
      "  2.67607043e-03 -8.91228032e-04 -4.46835393e-03  0.00000000e+00\n",
      " -3.13974405e-03 -1.79838121e-03 -2.70391256e-03 -1.80692389e-03\n",
      " -2.71604839e-03  5.92087861e-03  1.30600622e-03  2.69667339e-03\n",
      "  7.15546729e-03  8.90934607e-04  3.99899948e-03 -1.51923588e-02\n",
      "  3.59561876e-03 -8.97680351e-04  2.69047101e-03 -1.34433073e-03\n",
      "  2.23970413e-03 -5.83349867e-03 -1.31373508e-02  1.82235299e-03\n",
      " -3.64803290e-03 -5.03774127e-03  0.00000000e+00  1.41329914e-02\n",
      " -1.83372051e-02 -2.52093785e-02  6.72100205e-03 -1.93243604e-02\n",
      " -1.17762955e-02 -1.97628839e-03 -1.54502066e-02 -5.02243929e-04\n",
      "  5.51245408e-03 -1.85084424e-03 -5.17025869e-03 -1.62360873e-02\n",
      " -2.17171870e-02 -1.36845065e-02 -3.78014147e-02 -3.64288241e-02\n",
      "  8.52518249e-03  7.33008701e-03  1.68394553e-03  6.30299598e-02\n",
      " -1.32519994e-02  3.51280309e-02  9.74127278e-03  2.26995386e-02\n",
      "  1.49511523e-03  5.46311866e-03  5.43337874e-03 -9.85427876e-04\n",
      "  1.32254772e-02 -1.46072870e-03 -5.86524094e-03  9.79857752e-04\n",
      " -7.86615908e-03  7.86615908e-03 -1.33103505e-02 -5.97326225e-03\n",
      " -2.63039246e-02  1.22264149e-02  2.15383023e-02 -1.48753112e-03\n",
      "  1.67324785e-02  2.74386201e-02  8.03980976e-03  2.82231509e-03\n",
      " -9.39904829e-04 -4.70283907e-04 -1.89939551e-02  2.87219440e-03\n",
      " -9.56427248e-04  1.14178397e-02  1.03531573e-02  5.81980199e-02\n",
      " -5.31435804e-03 -2.10914165e-02  7.68053019e-03  1.25222392e-02\n",
      "  1.58734769e-02  3.92920990e-03  2.17630784e-03 -3.72474361e-03\n",
      "  8.40530638e-03 -4.40625008e-04 -5.94684556e-02 -8.45476426e-03\n",
      "  9.38972738e-03  3.73155111e-03  1.01898191e-02 -3.69344302e-03\n",
      "  1.38674374e-03  3.68823088e-03  9.20116494e-04  2.75456137e-03\n",
      "  7.76461326e-03 -1.82149129e-03  9.07435734e-03  4.95612435e-03\n",
      " -7.66977575e-03 -5.90502191e-03  1.53709333e-02  1.07096406e-02\n",
      "  3.54462559e-03  1.23076318e-02  2.61784764e-03 -4.80454462e-03\n",
      " -2.19153822e-03  3.50445369e-03  8.73781682e-04 -8.33509862e-03\n",
      " -1.68819111e-02  1.06953736e-02 -1.33062049e-03  1.33062049e-03\n",
      "  1.32890185e-03  6.17834739e-03  1.75823958e-03  1.31660479e-03\n",
      "  4.38548828e-04  3.93777061e-03 -8.73693847e-04 -3.50262551e-03\n",
      " -1.31660479e-03  4.38236631e-03  8.70685466e-03 -8.26999079e-03\n",
      "  0.00000000e+00  8.73693847e-04 -1.74815173e-03 -1.31324492e-03\n",
      " -2.19244999e-03  1.75428553e-03 -8.76758073e-04 -4.39555570e-03\n",
      "  3.51802818e-03  4.38015303e-03  6.96865888e-03 -2.17239629e-03\n",
      " -9.17641539e-03  6.56312890e-03 -4.36253264e-04 -4.36296919e-04\n",
      "  5.65823307e-03 -5.22193639e-03  8.72169738e-04  1.12967640e-02\n",
      "  8.73739924e-03 -8.73739924e-03  2.19139690e-03 -3.06942780e-03\n",
      " -4.39377240e-04  6.13243692e-03 -8.73859506e-04 -5.69795398e-03\n",
      "  0.00000000e+00  1.31769676e-03  2.19259923e-03  4.37885727e-04\n",
      "  3.93289514e-03 -5.24722412e-03  6.99003832e-03 -8.71195341e-04\n",
      "  2.17637536e-03  3.90535034e-03  6.90570846e-03  1.02694687e-02\n",
      "  2.55098473e-03 -8.10055993e-03 -4.28183295e-04  2.56616576e-03\n",
      " -2.13798252e-03  2.99206655e-03 -1.28130545e-03  3.83881433e-03\n",
      "  1.70148839e-03  4.66390606e-03  6.74530538e-03  3.77455633e-03\n",
      "  5.84317092e-03 -2.08303775e-03  1.66674959e-03  4.98323468e-03\n",
      " -1.24332274e-03  1.07262293e-02 -7.82719441e-03  5.36188018e-03\n",
      "  5.74255455e-03  5.70954196e-03  2.03128252e-03 -5.69787808e-03\n",
      "  7.72508746e-03 -2.50167400e-02  4.97103157e-03 -2.89681763e-03\n",
      "  2.89681763e-03  8.64017103e-03  8.19154200e-04  6.52789045e-03\n",
      "  2.43705348e-03  2.83570564e-03 -6.90079713e-03  5.28146140e-03\n",
      " -4.05277417e-04 -4.05531027e-04  7.27287540e-03 -4.03393479e-03\n",
      "  5.24091767e-03  1.20561640e-03  4.00788896e-03  9.55010578e-03\n",
      "  2.81522982e-03  2.00606813e-03  2.00187857e-03 -1.20062020e-03\n",
      "  2.00053654e-03 -3.99856537e-04 -4.00059798e-04  0.00000000e+00\n",
      " -8.00339971e-04 -1.37043558e-02  6.87574130e-03  3.21931089e-03\n",
      "  1.20456377e-03  2.80499016e-03  1.20000623e-03  7.98930996e-04\n",
      " -7.98930996e-04  3.19211720e-03  1.99009944e-03  5.15571376e-03\n",
      "  5.52257663e-03 -4.33658483e-03 -2.76947650e-03 -3.96984629e-03\n",
      "  3.97617056e-04 -4.78277961e-03  1.59675966e-03  1.99247850e-03\n",
      " -1.99247850e-03  3.58352205e-03  7.52331270e-03 -4.34858538e-03\n",
      "  4.34858538e-03 -7.89242797e-04 -1.58044230e-03  1.97516289e-03\n",
      "  1.97118404e-03  2.36036303e-03 -3.93702509e-03  3.93702509e-03\n",
      " -1.96653232e-03 -3.54960142e-03  4.33658483e-03  2.74997810e-03\n",
      " -3.14332847e-03  1.17984251e-03 -3.93083610e-04 -1.18039188e-03\n",
      " -1.97049254e-03  3.15088453e-03 -3.93408583e-04  1.57249381e-03\n",
      " -1.17908523e-03 -3.15088453e-03  3.54396808e-03  1.96348596e-03\n",
      " -7.84821284e-04 -3.92663002e-04  3.92663002e-04  7.84821284e-04\n",
      "  1.95972295e-03  1.56498409e-03 -2.94393580e-03 -6.39489153e-03\n",
      " -4.82313894e-03  8.05459393e-04  2.01083603e-03 -1.20606786e-03\n",
      "  6.41549006e-03  7.98980880e-04  3.58783198e-03  4.36765281e-03\n",
      "  2.37438967e-03  7.48176174e-03  0.00000000e+00 -3.93077731e-03\n",
      "  7.87384168e-04 -1.18132983e-03  1.18132983e-03  2.75099347e-03\n",
      "  3.92399903e-04  3.92162416e-04 -2.74883304e-03 -1.18027441e-03\n",
      "  3.14454501e-03  8.59726220e-03  4.65829019e-03  3.87316279e-04\n",
      " -3.87316279e-04  3.87316279e-04  3.09240120e-03  1.54258078e-03\n",
      "  0.00000000e+00  7.70398998e-04 -7.70398998e-04 -2.31492915e-03\n",
      " -1.15920941e-03 -3.86866828e-04  1.15974003e-03  7.72605476e-04\n",
      " -3.86269268e-04 -7.72739295e-04 -3.86470056e-04  3.28143570e-03\n",
      " -3.66830244e-03 -3.87592893e-03  1.55215827e-03  7.75094028e-04\n",
      "  7.74700020e-04  1.16084353e-03  3.86470056e-04  3.28025199e-03\n",
      "  2.11683521e-03 -1.15394010e-03 -1.92643038e-03  5.38454996e-03\n",
      "  3.83480190e-04 -1.15096383e-03  1.91756489e-03 -3.45426053e-03\n",
      " -1.19900070e-02 -1.37123540e-02  5.89965470e-03 -5.75480051e-03\n",
      " -2.18809564e-02  1.94732584e-02  6.40764972e-03  1.62347797e-02\n",
      " -7.49058696e-03 -8.74419231e-03 -5.70879914e-02  1.92556307e-02\n",
      " -2.51902584e-02 -1.72169298e-01  1.04905926e-01 -1.22226737e-01\n",
      "  9.71615221e-03 -4.35688078e-01  2.54892170e-01  6.07915502e-03\n",
      "  2.03966890e-02  9.94044393e-02  1.06005520e-01  3.79551053e-02\n",
      " -3.94069590e-02  1.93526794e-03  9.62005462e-03 -9.01059285e-02\n",
      " -3.14794690e-03 -1.96345095e-02  4.24925797e-02  1.15783744e-01\n",
      "  3.19704600e-03  2.92090252e-02 -1.56218531e-02  4.18471433e-02\n",
      " -2.22474206e-02  4.84050205e-03  1.82694010e-02 -6.48664823e-03\n",
      " -3.89257707e-02  4.94958879e-03  2.08756421e-02  8.31696391e-03\n",
      "  2.17724312e-03  3.47367721e-03  1.59109123e-02 -1.02916090e-02\n",
      " -1.25789028e-02  4.78996104e-03  1.73610623e-03  0.00000000e+00\n",
      "  4.75883158e-03  1.79645903e-02  1.30555471e-02 -2.45670658e-02\n",
      " -9.04588588e-03 -8.25562049e-03 -1.30986841e-03  2.07530893e-02\n",
      "  3.41742556e-03  3.83057282e-03 -1.70072005e-03  8.50743905e-04\n",
      "  1.27467129e-03  8.03547818e-03 -6.76242961e-03 -5.10199182e-03\n",
      "  4.67788149e-03  4.23356052e-03  0.00000000e+00  2.11025495e-03\n",
      "  2.52635358e-03  2.51994305e-03  6.68892404e-03  5.40209841e-03\n",
      " -3.50026116e-02 -8.18775315e-03 -9.56548937e-03  2.11808272e-02\n",
      "  9.78947710e-03  1.26981537e-03  5.90476906e-03 -1.44009711e-02\n",
      "  8.52920639e-04 -5.55680739e-03 -1.71595195e-03  2.14446895e-03\n",
      " -3.86337051e-03 -4.74250875e-03  1.07458485e-02  8.09031259e-03\n",
      "  6.76242961e-03  8.42235226e-04 -4.21028933e-04  9.22053400e-03\n",
      "  2.08378374e-03 -9.20134038e-03  5.02942130e-03  1.67079538e-03\n",
      "  3.74919036e-03 -3.74919036e-03  1.25136541e-03  4.57477150e-03\n",
      "  2.48652510e-03  4.13885486e-04  4.95257601e-03 -1.64825015e-03\n",
      "  4.11526300e-03  4.50720266e-03 -2.04617530e-03  3.68028623e-03\n",
      "  8.15948239e-04  7.31415302e-03  6.05446938e-03  7.61683378e-03\n",
      "  7.95546733e-03  3.99352331e-03 -3.93568698e-05  3.15208128e-03\n",
      " -7.87048019e-04  1.96650112e-03 -1.96650112e-03  6.27939496e-03\n",
      " -2.74242344e-03  0.00000000e+00 -7.84885837e-04  2.74461485e-03\n",
      "  5.46652963e-03  1.55645667e-03]\n",
      "1st R col [ 3.02399206e-03  3.17333452e-03  4.34697559e-03 -2.72449176e-03\n",
      " -1.22651784e-03  1.58224849e-03  1.57994276e-03 -5.54024382e-03\n",
      "  4.75065690e-03  3.54819209e-03 -1.96978706e-03 -1.57840503e-03\n",
      "  2.36679520e-03 -1.97192398e-03 -2.76747579e-03 -3.95965762e-04\n",
      " -1.18888752e-03  2.77195638e-03 -1.58306886e-03 -1.58548146e-03\n",
      "  0.00000000e+00  3.96593940e-04  2.37636338e-03 -1.18747575e-03\n",
      "  0.00000000e+00 -2.77606165e-03 -1.19209697e-03  1.19209697e-03\n",
      "  3.56783648e-03 -2.37725629e-03  2.37725629e-03  1.97679549e-03\n",
      "  1.97275029e-03 -7.88749428e-04  1.57663552e-03 -1.57663552e-03\n",
      "  1.18279422e-03  2.36135139e-03  4.70575225e-03 -7.46114878e-03\n",
      " -1.97275029e-03  1.97275029e-03 -3.94954579e-03 -1.98066235e-03\n",
      "  1.18888752e-03  1.18747575e-03 -4.15970348e-02 -1.65081478e-03\n",
      " -1.03800157e-02 -1.13325752e-02 -5.19822016e-02 -4.44800593e-04\n",
      "  1.98197588e-02  1.47189982e-02  1.28839817e-03  7.26973265e-03\n",
      "  1.48025164e-02  8.36134888e-03 -1.13044158e-02 -3.77564840e-02\n",
      "  6.97173225e-03  1.46554960e-02  6.39778608e-03  8.50145123e-04\n",
      " -3.83059843e-03 -3.84532847e-03 -1.28513924e-03 -7.31325243e-03\n",
      " -1.72868150e-03 -7.38035189e-03  3.04560876e-03  8.68549047e-04\n",
      "  5.62624820e-03 -8.66931584e-03  8.70278745e-04 -4.34857735e-04\n",
      " -3.05091799e-03  7.39297736e-03  5.61663182e-03 -3.45273130e-03\n",
      " -7.81247066e-03  2.17646477e-03 -5.66827273e-03 -8.78353696e-03\n",
      "  1.76285778e-03 -8.40159506e-03 -5.00786453e-02  1.80434957e-02\n",
      "  8.67386069e-03  1.89110693e-02  7.99647067e-03 -7.10485224e-03\n",
      "  1.33596617e-03  1.77864369e-03 -3.11460975e-03 -1.33775338e-03\n",
      " -6.26698835e-03 -1.26525452e-02 -6.84473244e-03 -5.50960656e-03\n",
      " -3.69008351e-03 -1.06853032e-02 -7.50112021e-03 -6.60999259e-03\n",
      " -4.50549424e-02 -8.95978324e-03  1.98026113e-02  1.16959950e-02\n",
      "  6.76018186e-03 -1.25909904e-02  1.94738281e-03 -3.89868510e-03\n",
      " -6.85930764e-03 -6.90662209e-03  1.62045676e-02 -1.32387616e-02\n",
      " -5.94055699e-03  3.94304320e-02  2.03173198e-02  2.80246302e-03\n",
      " -5.14374813e-03  6.07604533e-03  1.11218216e-02  8.26047361e-03\n",
      " -1.11815450e-03  2.79326946e-03  1.39363040e-03 -9.28889727e-04\n",
      "  6.02244493e-03  1.38523651e-03 -3.69695364e-03  6.46063033e-03\n",
      "  4.58920328e-03  4.57499467e-04  0.00000000e+00  3.19873774e-03\n",
      "  9.12001764e-04 -3.65300826e-03 -7.34607317e-03 -6.47252193e-03\n",
      " -7.91652594e-03  4.67685139e-04 -8.91824160e-03  6.67253975e-03\n",
      "  9.23055224e-03 -6.05086749e-03  4.66692902e-04  4.66812373e-04\n",
      " -4.67513595e-03  4.68385522e-04 -4.68385522e-04 -9.37881763e-04\n",
      "  0.00000000e+00  4.21254523e-03  2.33265781e-03 -9.32185503e-04\n",
      " -4.20675054e-03  2.80627795e-03 -4.67016333e-04  1.86748861e-03\n",
      "  4.66145197e-04 -9.32957570e-04  9.32957570e-04 -8.42704345e-03\n",
      "  4.70209779e-04 -2.35252525e-03  6.10479852e-03 -1.12995524e-02\n",
      "  2.36459263e-03  1.88764522e-03 -8.04746058e-03 -4.75345616e-04\n",
      "  8.99423193e-03 -9.42960789e-04  7.05051422e-03  1.39533505e-02\n",
      "  1.37622096e-02 -9.11805721e-04 -5.39511815e-03  3.66651715e-04\n",
      " -1.83493632e-03 -9.18704609e-04  2.29507056e-03 -2.29507056e-03\n",
      "  3.21155949e-03  2.28794012e-03 -2.74585886e-03  9.16179444e-04\n",
      "  4.00415948e-03 -3.25798336e-03  1.06653627e-02  4.14279662e-03\n",
      "  1.00549329e-02  7.70109612e-03  8.98480322e-03  3.12575628e-03\n",
      " -2.07215063e-02 -5.93464123e-03  2.28667026e-03 -4.56926733e-04\n",
      "  5.01474738e-03  4.98983217e-03 -6.81041460e-03  1.36568013e-03\n",
      " -5.01703518e-03 -9.14898643e-04 -5.04706847e-03 -1.84164650e-03\n",
      " -6.93649845e-03  2.31773546e-03 -9.26449604e-04  1.38060162e-02\n",
      "  4.10489738e-03  5.44715207e-03  4.06568684e-03 -3.16088414e-03\n",
      "  9.04145010e-04 -4.51970322e-04  4.51970322e-04 -9.04145010e-04\n",
      " -4.52272216e-04 -9.05426336e-04 -4.52886830e-04  1.35831314e-03\n",
      "  8.56066868e-03 -9.01319925e-03  0.00000000e+00 -1.35919638e-03\n",
      " -5.45436516e-03  9.11039650e-04 -1.82317977e-03  1.82317977e-03\n",
      " -6.39564358e-03  4.58291266e-04 -1.37545017e-03 -9.17620782e-04\n",
      "  9.17620782e-04 -2.29601329e-03  1.77721586e-02  2.70631886e-03\n",
      " -1.35240389e-03 -2.25775829e-03 -1.80987327e-03  9.05426336e-04\n",
      "  0.00000000e+00  3.94816324e-02  2.19411440e-02 -2.55646650e-03\n",
      " -4.26654995e-04  5.53306891e-03  2.96663563e-03 -4.23173653e-04\n",
      " -2.11911043e-03  4.56553558e-03  8.98418482e-03  2.55190022e-03\n",
      "  1.68497190e-02  1.25234399e-03 -4.17306088e-04 -8.35037848e-04\n",
      "  1.25234399e-03  8.33896338e-04 -7.53139099e-03 -4.20159777e-04\n",
      " -2.10291287e-03 -3.37416073e-03 -2.96163582e-03 -1.69628160e-03\n",
      " -8.49418517e-04 -1.70051015e-03 -1.15560330e-02  0.00000000e+00\n",
      " -1.29216351e-03 -3.88684077e-03 -1.57002751e-02  2.63388176e-03\n",
      " -6.15661871e-03 -9.30648297e-03  1.33481203e-03 -8.89745657e-04\n",
      "  1.77870027e-03 -3.11470125e-03 -4.91401553e-03 -1.34433073e-03\n",
      "  1.34433073e-03  1.34283770e-03  3.12551600e-03 -1.78484246e-03\n",
      "  2.67607043e-03 -8.91228032e-04 -4.46835393e-03  0.00000000e+00\n",
      " -3.13974405e-03 -1.79838121e-03 -2.70391256e-03 -1.80692389e-03\n",
      " -2.71604839e-03  5.92087861e-03  1.30600622e-03  2.69667339e-03\n",
      "  7.15546729e-03  8.90934607e-04  3.99899948e-03 -1.51923588e-02\n",
      "  3.59561876e-03 -8.97680351e-04  2.69047101e-03 -1.34433073e-03\n",
      "  2.23970413e-03 -5.83349867e-03 -1.31373508e-02  1.82235299e-03\n",
      " -3.64803290e-03 -5.03774127e-03  0.00000000e+00  1.41329914e-02\n",
      " -1.83372051e-02 -2.52093785e-02  6.72100205e-03 -1.93243604e-02\n",
      " -1.17762955e-02 -1.97628839e-03 -1.54502066e-02 -5.02243929e-04\n",
      "  5.51245408e-03 -1.85084424e-03 -5.17025869e-03 -1.62360873e-02\n",
      " -2.17171870e-02 -1.36845065e-02 -3.78014147e-02 -3.64288241e-02\n",
      "  8.52518249e-03  7.33008701e-03  1.68394553e-03  6.30299598e-02\n",
      " -1.32519994e-02  3.51280309e-02  9.74127278e-03  2.26995386e-02\n",
      "  1.49511523e-03  5.46311866e-03  5.43337874e-03 -9.85427876e-04\n",
      "  1.32254772e-02 -1.46072870e-03 -5.86524094e-03  9.79857752e-04\n",
      " -7.86615908e-03  7.86615908e-03 -1.33103505e-02 -5.97326225e-03\n",
      " -2.63039246e-02  1.22264149e-02  2.15383023e-02 -1.48753112e-03\n",
      "  1.67324785e-02  2.74386201e-02  8.03980976e-03  2.82231509e-03\n",
      " -9.39904829e-04 -4.70283907e-04 -1.89939551e-02  2.87219440e-03\n",
      " -9.56427248e-04  1.14178397e-02  1.03531573e-02  5.81980199e-02\n",
      " -5.31435804e-03 -2.10914165e-02  7.68053019e-03  1.25222392e-02\n",
      "  1.58734769e-02  3.92920990e-03  2.17630784e-03 -3.72474361e-03\n",
      "  8.40530638e-03 -4.40625008e-04 -5.94684556e-02 -8.45476426e-03\n",
      "  9.38972738e-03  3.73155111e-03  1.01898191e-02 -3.69344302e-03\n",
      "  1.38674374e-03  3.68823088e-03  9.20116494e-04  2.75456137e-03\n",
      "  7.76461326e-03 -1.82149129e-03  9.07435734e-03  4.95612435e-03\n",
      " -7.66977575e-03 -5.90502191e-03  1.53709333e-02  1.07096406e-02\n",
      "  3.54462559e-03  1.23076318e-02  2.61784764e-03 -4.80454462e-03\n",
      " -2.19153822e-03  3.50445369e-03  8.73781682e-04 -8.33509862e-03\n",
      " -1.68819111e-02  1.06953736e-02 -1.33062049e-03  1.33062049e-03\n",
      "  1.32890185e-03  6.17834739e-03  1.75823958e-03  1.31660479e-03\n",
      "  4.38548828e-04  3.93777061e-03 -8.73693847e-04 -3.50262551e-03\n",
      " -1.31660479e-03  4.38236631e-03  8.70685466e-03 -8.26999079e-03\n",
      "  0.00000000e+00  8.73693847e-04 -1.74815173e-03 -1.31324492e-03\n",
      " -2.19244999e-03  1.75428553e-03 -8.76758073e-04 -4.39555570e-03\n",
      "  3.51802818e-03  4.38015303e-03  6.96865888e-03 -2.17239629e-03\n",
      " -9.17641539e-03  6.56312890e-03 -4.36253264e-04 -4.36296919e-04\n",
      "  5.65823307e-03 -5.22193639e-03  8.72169738e-04  1.12967640e-02\n",
      "  8.73739924e-03 -8.73739924e-03  2.19139690e-03 -3.06942780e-03\n",
      " -4.39377240e-04  6.13243692e-03 -8.73859506e-04 -5.69795398e-03\n",
      "  0.00000000e+00  1.31769676e-03  2.19259923e-03  4.37885727e-04\n",
      "  3.93289514e-03 -5.24722412e-03  6.99003832e-03 -8.71195341e-04\n",
      "  2.17637536e-03  3.90535034e-03  6.90570846e-03  1.02694687e-02\n",
      "  2.55098473e-03 -8.10055993e-03 -4.28183295e-04  2.56616576e-03\n",
      " -2.13798252e-03  2.99206655e-03 -1.28130545e-03  3.83881433e-03\n",
      "  1.70148839e-03  4.66390606e-03  6.74530538e-03  3.77455633e-03\n",
      "  5.84317092e-03 -2.08303775e-03  1.66674959e-03  4.98323468e-03\n",
      " -1.24332274e-03  1.07262293e-02 -7.82719441e-03  5.36188018e-03\n",
      "  5.74255455e-03  5.70954196e-03  2.03128252e-03 -5.69787808e-03\n",
      "  7.72508746e-03 -2.50167400e-02  4.97103157e-03 -2.89681763e-03\n",
      "  2.89681763e-03  8.64017103e-03  8.19154200e-04  6.52789045e-03\n",
      "  2.43705348e-03  2.83570564e-03 -6.90079713e-03  5.28146140e-03\n",
      " -4.05277417e-04 -4.05531027e-04  7.27287540e-03 -4.03393479e-03\n",
      "  5.24091767e-03  1.20561640e-03  4.00788896e-03  9.55010578e-03\n",
      "  2.81522982e-03  2.00606813e-03  2.00187857e-03 -1.20062020e-03\n",
      "  2.00053654e-03 -3.99856537e-04 -4.00059798e-04  0.00000000e+00\n",
      " -8.00339971e-04 -1.37043558e-02  6.87574130e-03  3.21931089e-03\n",
      "  1.20456377e-03  2.80499016e-03  1.20000623e-03  7.98930996e-04\n",
      " -7.98930996e-04  3.19211720e-03  1.99009944e-03  5.15571376e-03\n",
      "  5.52257663e-03 -4.33658483e-03 -2.76947650e-03 -3.96984629e-03\n",
      "  3.97617056e-04 -4.78277961e-03  1.59675966e-03  1.99247850e-03\n",
      " -1.99247850e-03  3.58352205e-03  7.52331270e-03 -4.34858538e-03\n",
      "  4.34858538e-03 -7.89242797e-04 -1.58044230e-03  1.97516289e-03\n",
      "  1.97118404e-03  2.36036303e-03 -3.93702509e-03  3.93702509e-03\n",
      " -1.96653232e-03 -3.54960142e-03  4.33658483e-03  2.74997810e-03\n",
      " -3.14332847e-03  1.17984251e-03 -3.93083610e-04 -1.18039188e-03\n",
      " -1.97049254e-03  3.15088453e-03 -3.93408583e-04  1.57249381e-03\n",
      " -1.17908523e-03 -3.15088453e-03  3.54396808e-03  1.96348596e-03\n",
      " -7.84821284e-04 -3.92663002e-04  3.92663002e-04  7.84821284e-04\n",
      "  1.95972295e-03  1.56498409e-03 -2.94393580e-03 -6.39489153e-03\n",
      " -4.82313894e-03  8.05459393e-04  2.01083603e-03 -1.20606786e-03\n",
      "  6.41549006e-03  7.98980880e-04  3.58783198e-03  4.36765281e-03\n",
      "  2.37438967e-03  7.48176174e-03  0.00000000e+00 -3.93077731e-03\n",
      "  7.87384168e-04 -1.18132983e-03  1.18132983e-03  2.75099347e-03\n",
      "  3.92399903e-04  3.92162416e-04 -2.74883304e-03 -1.18027441e-03\n",
      "  3.14454501e-03  8.59726220e-03  4.65829019e-03  3.87316279e-04\n",
      " -3.87316279e-04  3.87316279e-04  3.09240120e-03  1.54258078e-03\n",
      "  0.00000000e+00  7.70398998e-04 -7.70398998e-04 -2.31492915e-03\n",
      " -1.15920941e-03 -3.86866828e-04  1.15974003e-03  7.72605476e-04\n",
      " -3.86269268e-04 -7.72739295e-04 -3.86470056e-04  3.28143570e-03\n",
      " -3.66830244e-03 -3.87592893e-03  1.55215827e-03  7.75094028e-04\n",
      "  7.74700020e-04  1.16084353e-03  3.86470056e-04  3.28025199e-03\n",
      "  2.11683521e-03 -1.15394010e-03 -1.92643038e-03  5.38454996e-03\n",
      "  3.83480190e-04 -1.15096383e-03  1.91756489e-03 -3.45426053e-03\n",
      " -1.19900070e-02 -1.37123540e-02  5.89965470e-03 -5.75480051e-03\n",
      " -2.18809564e-02  1.94732584e-02  6.40764972e-03  1.62347797e-02\n",
      " -7.49058696e-03 -8.74419231e-03 -5.70879914e-02  1.92556307e-02\n",
      " -2.51902584e-02 -1.72169298e-01  1.04905926e-01 -1.22226737e-01\n",
      "  9.71615221e-03 -4.35688078e-01  2.54892170e-01  6.07915502e-03\n",
      "  2.03966890e-02  9.94044393e-02  1.06005520e-01  3.79551053e-02\n",
      " -3.94069590e-02  1.93526794e-03  9.62005462e-03 -9.01059285e-02\n",
      " -3.14794690e-03 -1.96345095e-02  4.24925797e-02  1.15783744e-01\n",
      "  3.19704600e-03  2.92090252e-02 -1.56218531e-02  4.18471433e-02\n",
      " -2.22474206e-02  4.84050205e-03  1.82694010e-02 -6.48664823e-03\n",
      " -3.89257707e-02  4.94958879e-03  2.08756421e-02  8.31696391e-03\n",
      "  2.17724312e-03  3.47367721e-03  1.59109123e-02 -1.02916090e-02\n",
      " -1.25789028e-02  4.78996104e-03  1.73610623e-03  0.00000000e+00\n",
      "  4.75883158e-03  1.79645903e-02  1.30555471e-02 -2.45670658e-02\n",
      " -9.04588588e-03 -8.25562049e-03 -1.30986841e-03  2.07530893e-02\n",
      "  3.41742556e-03  3.83057282e-03 -1.70072005e-03  8.50743905e-04\n",
      "  1.27467129e-03  8.03547818e-03 -6.76242961e-03 -5.10199182e-03\n",
      "  4.67788149e-03  4.23356052e-03  0.00000000e+00  2.11025495e-03\n",
      "  2.52635358e-03  2.51994305e-03  6.68892404e-03  5.40209841e-03\n",
      " -3.50026116e-02 -8.18775315e-03 -9.56548937e-03  2.11808272e-02\n",
      "  9.78947710e-03  1.26981537e-03  5.90476906e-03 -1.44009711e-02\n",
      "  8.52920639e-04 -5.55680739e-03 -1.71595195e-03  2.14446895e-03\n",
      " -3.86337051e-03 -4.74250875e-03  1.07458485e-02  8.09031259e-03\n",
      "  6.76242961e-03  8.42235226e-04 -4.21028933e-04  9.22053400e-03\n",
      "  2.08378374e-03 -9.20134038e-03  5.02942130e-03  1.67079538e-03\n",
      "  3.74919036e-03 -3.74919036e-03  1.25136541e-03  4.57477150e-03\n",
      "  2.48652510e-03  4.13885486e-04  4.95257601e-03 -1.64825015e-03\n",
      "  4.11526300e-03  4.50720266e-03 -2.04617530e-03  3.68028623e-03\n",
      "  8.15948239e-04  7.31415302e-03  6.05446938e-03  7.61683378e-03\n",
      "  7.95546733e-03  3.99352331e-03 -3.93568698e-05  3.15208128e-03\n",
      " -7.87048019e-04  1.96650112e-03 -1.96650112e-03  6.27939496e-03\n",
      " -2.74242344e-03  0.00000000e+00 -7.84885837e-04  2.74461485e-03\n",
      "  5.46652963e-03  1.55645667e-03]\n",
      "mean std R[:,0]\n",
      "0.00024157735\n",
      "0.023900239\n",
      "last R col [-7.65720941e-03 -1.24054111e-03  3.00793387e-02 -3.62013187e-03\n",
      " -4.70267273e-02  1.35919387e-02 -1.48598477e-02  1.81045476e-02\n",
      "  1.31206689e-02  1.27078500e-02  1.56610850e-02 -1.29934317e-02\n",
      "  5.07310173e-03 -1.68820017e-03  5.53622330e-03 -1.20091287e-03\n",
      "  7.66099524e-03  1.51482755e-02  1.56161711e-02  5.76503389e-03\n",
      "  2.02578772e-02  4.49641049e-03 -2.47046957e-03  2.00362895e-02\n",
      "  5.49512310e-03 -9.02792905e-03  1.18734771e-02 -3.06478795e-03\n",
      " -3.51418322e-03  7.67127052e-03  1.30919938e-03 -3.93275125e-03\n",
      "  1.00197010e-02 -6.50380505e-04  3.24781053e-03 -3.03094834e-03\n",
      "  7.34501891e-03  8.57270602e-03 -3.20615852e-03  1.06986205e-03\n",
      " -2.99849012e-03 -7.96819571e-03  6.48412446e-04 -1.52408788e-02\n",
      " -4.38845746e-04  0.00000000e+00  8.74131452e-03 -4.79829079e-03\n",
      "  7.83977471e-03 -5.00161527e-03 -1.33876810e-02 -7.98585918e-03\n",
      " -2.09301841e-02  2.95217196e-03  6.10380992e-03  5.17026661e-03\n",
      "  1.40266977e-02  6.63096493e-04  7.48406304e-03  1.17725236e-02\n",
      " -1.39679136e-02 -1.52809834e-02  1.26401111e-02 -1.28633138e-02\n",
      "  1.78409507e-03 -1.23306131e-02 -4.51222935e-04 -8.61296803e-03\n",
      " -1.90744344e-02 -9.32407659e-03 -4.93018003e-03  1.26287788e-02\n",
      " -2.20873505e-02  1.25134867e-02 -6.11911993e-03 -1.76236853e-02\n",
      "  3.37813795e-02 -6.99303532e-03 -8.69267061e-03 -1.41670858e-03\n",
      "  1.31456731e-02 -1.76454410e-02 -7.86370784e-03 -3.83511023e-03\n",
      " -2.62788553e-02 -1.01599339e-02 -5.24412747e-03  1.56505946e-02\n",
      "  2.02519745e-02  1.20049464e-02 -4.06556111e-03  1.91529386e-03\n",
      " -2.39463709e-03  2.11133305e-02 -7.06716720e-03 -7.11746793e-03\n",
      "  1.20697385e-02 -1.08799702e-02 -1.24433581e-02 -1.35759078e-02\n",
      "  1.69413537e-02  4.78813425e-03 -1.43404899e-03 -2.39220186e-04\n",
      " -6.23953575e-03 -1.44544954e-03  9.63913335e-04  5.04499814e-03\n",
      " -7.93938525e-03 -2.44510956e-02 -2.17699371e-02 -7.59175047e-04\n",
      " -1.89118702e-02  1.00116199e-02 -4.09523491e-03  1.28155854e-03\n",
      "  6.63777255e-03  8.10955279e-03 -1.01016171e-03 -1.19457059e-02\n",
      "  7.66742509e-04 -1.07886530e-02  1.35951508e-02  1.21550951e-02\n",
      " -2.52016261e-03 -7.57258676e-04  1.67776868e-02  1.43000167e-02\n",
      "  3.41708213e-02  4.01365664e-03  6.80992194e-03 -9.16897040e-03\n",
      "  2.05711275e-02 -8.36437475e-03  4.19089803e-03 -5.35816792e-03\n",
      "  8.60566273e-03  6.94566523e-04  1.15647062e-03 -4.16960986e-03\n",
      " -6.96593546e-04 -1.89946052e-02 -2.85767894e-02  2.71553099e-02\n",
      " -8.81058723e-03  1.47200711e-02 -8.99624452e-03 -5.00658108e-03\n",
      "  9.04126558e-03 -2.13402323e-03  6.85992977e-03 -4.71615174e-04\n",
      "  0.00000000e+00  4.94061923e-03 -4.70478414e-03 -2.59711151e-03\n",
      "  1.88943848e-03  1.73104294e-02 -8.61775875e-03  4.90026874e-03\n",
      " -1.63077959e-03  4.66228434e-04  2.32774788e-03 -1.86180649e-03\n",
      " -6.54358044e-03 -1.87746587e-03 -3.52983060e-03 -9.23635717e-03\n",
      "  3.56252608e-03 -4.27652849e-03 -4.77327872e-03  1.94273144e-02\n",
      " -3.76118440e-03 -2.38333493e-02  6.73076557e-03  6.44781208e-03\n",
      "  7.11577944e-03 -2.34348793e-02  5.30892191e-03  1.05339587e-02\n",
      "  5.93614485e-03  4.72367462e-03  1.28762173e-02 -1.85472947e-02\n",
      " -1.11999549e-02 -4.80423728e-03 -4.58548917e-03 -6.06577145e-03\n",
      " -2.68065487e-03 -8.08527786e-03  4.17335099e-03  2.63522901e-02\n",
      "  2.52103861e-02  9.30288457e-04 -2.56023882e-03 -1.16590899e-03\n",
      "  2.33304556e-04 -3.50508583e-03 -2.10902002e-03  7.94402324e-03\n",
      " -3.02999420e-03  3.02999420e-03  2.32450129e-03 -1.85921043e-03\n",
      " -4.19578236e-03  5.59049658e-03 -1.56857055e-02 -4.73037781e-03\n",
      " -2.47222204e-02  4.12274618e-03  3.38244811e-03 -8.96435324e-03\n",
      "  1.70215720e-03  1.42325256e-02  1.21415751e-02  1.40979774e-02\n",
      " -2.56980862e-03 -3.74972564e-03 -1.34737454e-02  9.00263805e-03\n",
      "  1.19565511e-02 -1.19565511e-02  7.98687339e-03 -1.17054919e-03\n",
      "  5.14022633e-03 -2.33317888e-03  5.35816792e-03  2.74994411e-02\n",
      "  4.96057840e-03 -6.88964948e-02  1.26901930e-02  2.83823591e-02\n",
      "  1.15566875e-03 -8.11786950e-03 -2.54730470e-02  1.35248993e-02\n",
      " -1.65109604e-03 -1.57034062e-02 -1.43989944e-03  4.31349315e-03\n",
      "  3.10371025e-03  1.06699290e-02 -3.07071931e-03  2.59888149e-03\n",
      " -1.18049840e-03  8.46866053e-03 -1.87570509e-03 -5.41245705e-03\n",
      " -2.12588720e-03  1.65389758e-03  2.35793553e-03  4.69925674e-03\n",
      " -1.40747381e-03  3.04696825e-03 -7.02301331e-04 -1.32015264e-02\n",
      "  3.08024883e-03  7.09443062e-04 -2.12991214e-03  7.55250687e-03\n",
      "  1.87930057e-03 -4.94061923e-03  4.94061923e-03  1.00409202e-02\n",
      "  1.62510073e-03 -2.32234201e-03  0.00000000e+00  6.97241165e-04\n",
      " -9.80624743e-03 -1.13262609e-02 -1.14559438e-02  8.12816806e-03\n",
      " -9.08876862e-03  1.92027900e-03 -1.54180191e-02 -2.34064576e-03\n",
      "  1.28545538e-02 -1.09523507e-02 -7.04160379e-03  3.43483058e-04\n",
      "  5.57676330e-03 -2.34945361e-02 -3.08356602e-02 -6.14807568e-03\n",
      " -1.45220442e-03 -3.58743197e-03 -1.19874929e-03  7.29807711e-04\n",
      " -1.26380930e-02 -1.40300915e-02 -1.68389212e-02 -2.89907400e-02\n",
      " -4.15469147e-03 -5.98168932e-03  1.46086765e-02  2.02094167e-02\n",
      " -7.35174213e-03  1.61139462e-02 -1.17731998e-02  1.16106346e-02\n",
      "  3.25104309e-04  2.35052928e-02 -1.65407993e-02 -3.87795977e-02\n",
      " -1.30036334e-02 -1.92837510e-03  1.98500557e-03  1.50141884e-02\n",
      " -1.12253521e-02  4.51453088e-04 -1.31180957e-02  1.36257019e-02\n",
      " -2.08853907e-03  4.79160994e-03 -1.79879051e-02  1.34222629e-02\n",
      " -9.99267399e-03  5.23590064e-03 -9.65431565e-04 -1.14286961e-02\n",
      " -1.14972128e-04 -2.87447911e-04 -6.63377624e-03 -1.71033740e-02\n",
      "  2.80399583e-02 -9.89529397e-03 -4.34569130e-03 -8.16288684e-03\n",
      " -2.00462025e-02 -1.15344189e-02 -3.02572083e-03 -1.67455170e-02\n",
      " -3.77426669e-02  2.82686260e-02  1.44536858e-02  2.25558951e-02\n",
      "  4.66572214e-03  2.74131284e-03 -2.53742225e-02  1.72474906e-02\n",
      " -4.08822205e-03  1.48301227e-02  3.20015685e-03  2.95403739e-03\n",
      " -1.35774992e-03 -1.32609559e-02 -2.75750691e-03  1.06282290e-02\n",
      "  1.56166228e-02  2.05453150e-02 -3.27054830e-03  0.00000000e+00\n",
      "  5.73067460e-03  1.37338182e-02 -1.24077057e-03 -5.09191491e-03\n",
      "  8.13473016e-03  1.46171381e-03  5.21107856e-03  3.18057905e-03\n",
      "  2.22589960e-03 -1.06175570e-02  0.00000000e+00  1.06685772e-03\n",
      "  3.13777360e-03 -2.01602234e-03  3.46948323e-03  6.07064320e-03\n",
      "  1.16529525e-03  1.88985579e-02 -8.58096685e-03 -5.89058409e-03\n",
      " -5.20374859e-03 -7.29745580e-03  4.29582503e-03  5.44080837e-03\n",
      " -1.23118293e-02  2.17352360e-02 -9.10684764e-02  1.50082575e-03\n",
      " -5.95645700e-03 -3.50654982e-02  7.53409090e-03  3.45671140e-02\n",
      "  2.16948111e-02  1.65159144e-02 -4.74075601e-03  6.18163683e-03\n",
      " -1.49861700e-03 -1.27708074e-02 -5.80054382e-03  1.48151331e-02\n",
      " -2.12998036e-02  1.29276505e-02  7.56127015e-03 -4.82097734e-03\n",
      "  6.67342683e-03  6.34194119e-03  5.73067460e-03 -5.73067460e-03\n",
      " -3.74259241e-03  9.47326701e-03  3.99200432e-03 -1.99396722e-03\n",
      " -1.99803687e-03  1.26623278e-02 -4.12742514e-03 -3.46208247e-03\n",
      " -5.01570757e-03  5.98174799e-03 -2.10374501e-03  3.12564103e-03\n",
      "  6.84213126e-03 -3.89601011e-03  5.07878186e-03 -1.33728245e-02\n",
      "  1.02157695e-02  5.46219200e-03 -4.55921749e-03 -2.08948832e-03\n",
      "  2.87897117e-03  8.25222116e-03  2.40114029e-03 -1.31366393e-02\n",
      "  4.17296030e-03 -5.92637854e-03  7.27608614e-03 -1.75179280e-02\n",
      "  6.49870560e-03  5.72252879e-03  7.31780892e-03 -1.86815672e-02\n",
      " -5.73067460e-03 -7.55720818e-03 -1.07706683e-02 -2.35123858e-02\n",
      " -2.21972680e-03 -5.96372364e-03 -4.78451699e-03 -1.25849117e-02\n",
      "  1.06402887e-02  4.85439692e-03  1.97789073e-02  3.14045814e-03\n",
      " -1.77493130e-04 -3.02228448e-03  1.03915147e-02 -2.05795164e-03\n",
      "  1.55929988e-02 -1.68193749e-03  1.07959080e-02 -2.52968003e-03\n",
      "  6.90539251e-04 -4.43947781e-03  1.17760096e-02 -2.77352910e-02\n",
      " -1.09806871e-02  7.56950956e-03 -1.56754125e-02  1.82641875e-02\n",
      "  2.38065366e-02  6.86185807e-03  2.73168273e-03  9.72740352e-03\n",
      " -1.29527797e-03 -1.13347769e-02  1.04326857e-02 -2.27625556e-02\n",
      " -7.47162849e-03  1.58037953e-02 -1.23216612e-02  4.56630951e-03\n",
      " -2.88767181e-03  4.62599768e-04 -4.86786431e-03 -9.92475264e-03\n",
      "  1.08538205e-02  1.37185277e-02 -4.99295164e-03  5.16475970e-03\n",
      " -3.78486514e-03  1.11413635e-02  6.51280256e-03 -2.65416205e-02\n",
      "  7.16230785e-03 -4.52080555e-02  2.09153760e-02  1.62025243e-02\n",
      "  1.95352025e-02  6.69160392e-03 -9.19831078e-03  7.89753813e-03\n",
      " -7.44130230e-03 -5.77520533e-03  9.81519464e-03  6.28345972e-03\n",
      "  4.44804085e-03  5.82565507e-03  1.44174956e-02 -2.47476790e-02\n",
      "  1.22831799e-02 -1.61279943e-02 -2.60937237e-03  1.63375214e-02\n",
      " -1.90173998e-03 -1.40059972e-03  1.57966018e-02  9.00955871e-03\n",
      "  9.25426837e-03  8.14874563e-03  9.84068308e-03  1.89779345e-02\n",
      " -6.33862102e-03  8.89412593e-03  3.64499429e-04 -1.40682585e-03\n",
      " -3.86579731e-03  6.27884467e-04  1.72473455e-03 -5.74582780e-04\n",
      " -1.00825196e-02  9.55985859e-03 -3.03657819e-03 -4.46702261e-03\n",
      "  3.15956597e-04 -1.82252750e-02 -4.89157857e-03 -4.96974867e-03\n",
      "  1.02365743e-02 -3.75918485e-03 -4.84336575e-04  2.41940492e-03\n",
      "  5.03511168e-03  1.11050047e-02  2.21681711e-03  6.09728042e-03\n",
      "  6.37278054e-03  4.41611838e-03 -6.39675604e-03  1.69166960e-02\n",
      " -3.95777542e-03  6.36588223e-03 -4.56492975e-03 -9.77250980e-04\n",
      "  8.40383582e-03  2.39545992e-03  8.66723806e-03  1.37829529e-02\n",
      " -6.14124816e-03  2.30118656e-03  4.49586601e-04 -1.11497361e-02\n",
      "  1.89109594e-02  8.93015787e-03 -5.12136333e-03  1.42646171e-02\n",
      " -7.81791285e-03 -2.94756563e-03 -4.88246465e-03 -1.83096272e-03\n",
      "  1.83096272e-03 -4.16156650e-03 -9.32695903e-03  5.14807086e-03\n",
      "  1.49924830e-02  1.43354302e-02 -7.74912885e-04 -1.06670940e-02\n",
      " -1.91162468e-03 -1.33355660e-02  3.17712757e-03  1.28532043e-02\n",
      "  6.09772885e-03 -6.92988979e-03  4.05641412e-03  7.53145106e-03\n",
      "  5.59956580e-03 -7.00441003e-03  8.73585045e-03  1.88504811e-02\n",
      "  6.11164048e-03 -1.06489016e-02  6.62968203e-04 -1.67076290e-02\n",
      "  4.46672551e-03 -2.63923476e-03  5.55825094e-03 -7.57834688e-03\n",
      " -4.05247556e-03  8.90352111e-03 -3.16731236e-03 -4.43181023e-03\n",
      " -1.42467488e-02 -1.81356817e-03 -6.10211026e-03 -1.18531159e-03\n",
      "  5.27389627e-03 -3.54575878e-03  8.20501335e-03  5.95182274e-03\n",
      "  1.45816593e-03 -2.33403943e-03  3.93556384e-03 -7.88668171e-03\n",
      " -9.47785191e-03 -9.12024174e-03  1.64184219e-03 -3.13677476e-03\n",
      "  8.09562672e-03 -3.45738865e-02  7.24500092e-03  8.40334967e-03\n",
      "  1.66474823e-02 -6.51596719e-03 -9.48610890e-04 -6.06225478e-03\n",
      "  6.06225478e-03 -1.15550300e-02  1.33516220e-02 -4.24709450e-03\n",
      " -1.12796705e-02  1.16403587e-03 -7.05568260e-03 -3.93010583e-03\n",
      " -1.66562833e-02 -2.34116334e-02 -2.02178899e-02 -7.17708394e-02\n",
      "  4.02638763e-02  3.56806889e-02 -1.83971953e-02  3.56648974e-02\n",
      " -3.83682996e-02 -3.42235342e-02 -4.44803461e-02  2.61333678e-02\n",
      " -5.40737398e-02 -8.13393369e-02  4.69502024e-02 -1.32296219e-01\n",
      "  5.28205968e-02 -3.79897654e-01  2.75600284e-01 -5.66953458e-02\n",
      "  1.02419265e-01  5.03435060e-02  1.72803514e-02  7.66399279e-02\n",
      " -8.40387568e-02  5.71928732e-02  3.23309377e-02 -4.19228747e-02\n",
      "  3.77014801e-02 -1.13720400e-03  3.31975296e-02 -3.06722187e-02\n",
      " -1.09041333e-02 -2.80865119e-03 -9.76372138e-03  2.06350703e-02\n",
      " -8.68101716e-02 -1.31201698e-02  4.89531420e-02 -3.25281210e-02\n",
      " -4.14006636e-02 -1.93627656e-03 -2.40467656e-02  2.22505946e-02\n",
      "  3.71968783e-02  1.29416343e-02  2.13155132e-02 -3.22499275e-02\n",
      " -2.46406775e-02 -6.18499797e-03 -1.82065200e-02 -2.21758410e-02\n",
      "  6.43905578e-03  5.44825681e-02 -2.21093521e-02 -3.01624332e-02\n",
      " -6.65772185e-02 -3.15209874e-03 -8.24218523e-03  7.50226676e-02\n",
      " -3.56213637e-02  1.63899865e-02  1.84928905e-02  3.83444899e-03\n",
      "  3.68486010e-02  2.57698819e-02 -2.76519393e-04 -1.54005140e-02\n",
      " -8.53344146e-03  2.23422330e-02  4.01845686e-02  1.64965801e-02\n",
      "  7.43884295e-02  2.65578832e-02 -4.71822396e-02 -1.91603880e-02\n",
      " -6.14665374e-02  4.84219827e-02 -5.20147569e-03  2.96237953e-02\n",
      " -1.03035336e-02  1.83341671e-02 -2.32087001e-02 -2.15994613e-03\n",
      "  3.87192075e-03 -3.02274581e-02  2.88961511e-02 -6.52662218e-02\n",
      "  3.48018147e-02 -9.15990619e-04 -7.29234889e-03  8.14287364e-03\n",
      " -2.16052076e-03  7.96443690e-03  2.57404372e-02 -1.15364930e-02\n",
      "  4.75102440e-02 -1.08793844e-02  3.28277536e-02  4.47351113e-02\n",
      " -3.15034762e-03 -4.13913792e-03 -4.73492034e-03  2.33972110e-02\n",
      "  4.45682369e-03 -4.11764719e-03 -1.34291314e-02 -5.45710046e-03\n",
      " -1.22281434e-02 -1.98445166e-03  7.68244965e-03 -2.66149659e-02\n",
      "  1.36016468e-02 -6.60026539e-03  1.09958770e-02 -1.52620506e-02\n",
      "  3.71837057e-02  3.81111242e-02  3.00537571e-02 -2.72921263e-03\n",
      " -1.13714198e-02  1.48485349e-02 -9.44311637e-03  2.42292229e-03\n",
      "  7.66086299e-03 -1.40810087e-02 -1.66456103e-02  1.43155921e-02\n",
      "  6.48894813e-03 -1.11654168e-02]\n",
      "mean std R[:,pp-1]\n",
      "-0.0001354636\n",
      "0.02520219\n"
     ]
    }
   ],
   "source": [
    "def printData(prices,R):\n",
    "    print(type(R))\n",
    "    print(R.shape)\n",
    "    pp = R.shape[1]\n",
    "    print(lab[0])\n",
    "    print(\"prices[:,0]\")\n",
    "    print(prices[:,0])\n",
    "    print(\"R[:,0]\")\n",
    "    print(R[:,0])\n",
    "    print('1st R col',R[:,0]);print(\"mean std R[:,0]\")\n",
    "    print(np.mean(R[:,0]));print(np.std(R[:,0]))\n",
    "    print('last R col',R[:,pp-1]);print(\"mean std R[:,pp-1]\")\n",
    "    print(np.mean(R[:,pp-1]));print(np.std(R[:,pp-1]))\n",
    "    \n",
    "printData(prices,R)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### G) What is the shape of our prices data frame?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### H) What are the first 2 prices that we see for the security in column 0?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### I) If you can access the prior cell, what is the corresponding log return value for those 2 prices as seen in column slice R[:,0]?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Find baseline timing to compute mass Sharpe ratio on CPU"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.00024157735 0.023900239 0.010107738 0.165185s\n"
     ]
    }
   ],
   "source": [
    "def findSharpeRatiosCPU(R,meanv,sdevv,SR,pp):\n",
    "  for j in range(0,pp):\n",
    "    meanv[j] = np.mean(R[:,j])\n",
    "    sdevv[j] = np.std(R[:,j])\n",
    "    SR[j]    = meanv[j]/sdevv[j] \n",
    "  return meanv, sdevv, SR\n",
    "\n",
    "meanv = np.empty([pp]).astype(np.float32)\n",
    "sdevv = np.empty([pp]).astype(np.float32)\n",
    "SR    = np.empty([pp]).astype(np.float32)\n",
    "\n",
    "start = time.time()\n",
    "meanv, sdevv, SR = findSharpeRatiosCPU(R,meanv,sdevv,SR,pp)\n",
    "end   = time.time()\n",
    "cputime = end - start\n",
    "print(meanv[0],sdevv[0],SR[0],\"%fs\" % (cputime))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Routine is for bar chart of CPU vs. GPU"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plotBoth(cputime,gputime,mat):\n",
    "  plt.bar([0,1],[cputime,gputime],align='center',alpha=.5)\n",
    "  plt.xticks([0,1],('CPU time','GPU time'))\n",
    "  plt.title('Sharpe Ratio computation timings after findSharpeRatiosKernel(), speedup = '+\n",
    "          str(np.round(cputime/gputime,2)) + ', shape = ' + str(mat.shape))\n",
    "  plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Find GPU timing to compute mass Sharpe ratio using numba package"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot times for comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4.68 ms ± 337 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n",
      "0.010114449 0.005856s\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import cudf\n",
    "import cupy\n",
    "from numba import cuda\n",
    "\n",
    "@cuda.jit\n",
    "def findSharpeRatiosNumba(R, meanv, sdevv, SR, Nminus1, pp):\n",
    "  #for j in range(0,pp): \n",
    "  j = cuda.blockDim.x * cuda.blockIdx.x + cuda.threadIdx.x\n",
    "  if j < pp:\n",
    "    j = j\n",
    "    for i in range(0,Nminus1): #compute pp means\n",
    "        meanv[j] += R[i,j]\n",
    "    meanv[j] /= Nminus1\n",
    "    sdevv[j] = 0.0\n",
    "    for i in range(0,Nminus1): #compute pp sdevs\n",
    "        sdevv[j] += (R[i,j]-meanv[j])*(R[i,j]-meanv[j])\n",
    "    sdevv[j] /= Nminus1-1 #if Nminus1 > 1 else 1\n",
    "    sdevv[j] = math.sqrt(sdevv[j])\n",
    "    SR[j]    = meanv[j]/sdevv[j] \n",
    "\n",
    "meanv = cupy.zeros(pp).astype(np.float32)\n",
    "sdevv = cupy.zeros(pp).astype(np.float32)\n",
    "SR    = cupy.zeros(pp).astype(np.float32)\n",
    "\n",
    "#First time is mainly to compile it:\n",
    "%timeit findSharpeRatiosNumba[(blockSz,1,1), (256,1,1)](cupy.asarray(R), meanv, sdevv, SR, Nminus1, pp)\n",
    "start = time.time()\n",
    "findSharpeRatiosNumba[(blockSz,1,1), (256,1,1)](cupy.asarray(R), meanv, sdevv, SR, Nminus1, pp)\n",
    "end   = time.time()\n",
    "gputime = end - start\n",
    "print(SR[0],\"%fs\" % (gputime))\n",
    "    \n",
    "plotBoth(cputime,gputime,R)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### J) What was our speedup for this last version of the numba kernel called findSharpeRatiosNumba()?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Find top k=12 SR of the candidates with findTopSRcandid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.015173s\n",
      "['BKK', 'HCHC', 'ENPH', 'COUP', 'LULU', 'OKTA', 'APPS', 'GNRC', 'NICE', 'SHOP', 'KNSL', 'SAM']\n",
      "0\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "8\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def findTopSRcandid(SR,k):\n",
    "    idxVec = list(); found = 0\n",
    "    while found < k:\n",
    "        idx = np.argmax(SR)\n",
    "        idxVec.append(idx) \n",
    "        SR[idx] = -10000 #disqualify SR[idx]\n",
    "        found += 1\n",
    "    return idxVec\n",
    "\n",
    "start = time.time()\n",
    "idxVec = findTopSRcandid(SR,k)\n",
    "end   = time.time()\n",
    "print(\"%fs\" % ((end-start)))\n",
    "\n",
    "l = [lab[int(index)] for index in idxVec]\n",
    "print(l)\n",
    "for i in range(k):\n",
    "  if i % 4 == 0:\n",
    "    print(i)\n",
    "    plotSec(l[i:(i+4)],lab,prices,R)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### These k=12 names are best candidates for next quarter\n",
    "### We repeat this process going back in time to obtain a back-test"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a href=\"Part2.2021.ipynb\">Open part 2 of this tutorial</a>"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Raw Cell Format",
  "kernelspec": {
   "display_name": "Python (rapidgenomics)",
   "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": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}