import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
bt = get_backtest('57c13dc1ecadad100b744239')
100% Time: 0:10:17|###########################################################|
bt.create_full_tear_sheet()
Entire data start date: 2004-01-06 Entire data end date: 2016-08-18 Backtest Months: 151 Backtest annual_return 0.13 annual_volatility 0.07 sharpe_ratio 1.74 calmar_ratio 1.19 stability 0.92 max_drawdown -0.11 omega_ratio 1.38 sortino_ratio 2.89 skewness 1.05 kurtosis 12.67 information_ratio 0.02 alpha 0.12 beta 0.07 Worst Drawdown Periods net drawdown in % peak date valley date recovery date duration 1 11.13 2009-01-09 2009-03-06 2009-03-23 52 0 7.37 2015-07-16 2016-02-03 2016-04-21 201 2 4.90 2016-04-29 2016-07-06 NaT NaN 3 4.27 2012-10-12 2012-11-23 2013-05-09 150 4 4.08 2014-02-11 2014-05-07 2014-10-16 178 2-sigma returns daily -0.009 2-sigma returns weekly -0.020 dtype: float64
/usr/local/lib/python2.7/dist-packages/matplotlib/__init__.py:892: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter. warnings.warn(self.msg_depr % (key, alt_key))
Stress Events mean min max Lehmann 0.003 -0.014 0.021 US downgrade/European Debt Crisis 0.001 -0.005 0.010 Fukushima 0.001 -0.004 0.006 EZB IR Event 0.000 -0.006 0.007 Aug07 0.003 -0.006 0.012 Mar08 0.000 -0.012 0.014 Sept08 0.002 -0.014 0.021 2009Q1 -0.001 -0.023 0.020 2009Q2 0.004 -0.013 0.025 Flash Crash 0.000 -0.011 0.005 Apr14 -0.000 -0.022 0.005 Oct14 0.000 -0.006 0.006 Fall2015 -0.000 -0.010 0.006 Low Volatility Bull Market 0.000 -0.018 0.013 GFC Crash 0.001 -0.036 0.054 Recovery 0.000 -0.017 0.016 New Normal 0.000 -0.022 0.043
Top 10 long positions of all time (and max%) [u'AEE-24783' u'USB-25010' u'SCG-6701' u'CVX-23112' u'PGN-22332' u'XOM-8347' u'BAC-700' u'BBT-16850' u'MRK-5029' u'JNJ-4151'] [ 0.175 0.174 0.165 0.163 0.161 0.158 0.158 0.147 0.146 0.145] Top 10 short positions of all time (and max%) [u'JNJ-4151' u'JPM-25006' u'WFC-8151' u'BRK_B-11100' u'XOM-8347' u'SGP-6836' u'CVX-23112' u'PAA-15700' u'ETP-26073' u'MRK-5029'] [-0.219 -0.165 -0.163 -0.161 -0.15 -0.149 -0.143 -0.142 -0.137 -0.135] Top 10 positions of all time (and max%) [u'JNJ-4151' u'AEE-24783' u'USB-25010' u'JPM-25006' u'SCG-6701' u'WFC-8151' u'CVX-23112' u'PGN-22332' u'BRK_B-11100' u'XOM-8347'] [ 0.219 0.175 0.174 0.165 0.165 0.163 0.163 0.161 0.161 0.158] All positions ever held [u'JNJ-4151' u'AEE-24783' u'USB-25010' u'JPM-25006' u'SCG-6701' u'WFC-8151' u'CVX-23112' u'PGN-22332' u'BRK_B-11100' u'XOM-8347' u'BAC-700' u'SGP-6836' u'BBT-16850' u'MRK-5029' u'PFE-5923' u'BLK-20689' u'ED-2434' u'PEG-5862' u'LLY-4487' u'PAA-15700' u'PPL-6119' u'STI-7152' u'NOV-24809' u'ETP-26073' u'DTE-2330' u'MCK-12350' u'ABT-62' u'BDX-794' u'SO-7011' u'CB-8580' u'NBR-5214' u'KMP-2546' u'SYK-7178' u'BMY-980' u'CAH-1376' u'SE-33030' u'COP-23998' u'D-2071' u'DVN-2368' u'ES-5484' u'FTI-22784' u'PGR-5950' u'PNC-6068' u'DGX-16348' u'AMGN-368' u'POM-6098' u'MDT-4758' u'BAX-734' u'AIG-239' u'MMC-4914' u'BK-903' u'WB-25007' u'WEC-8140' u'AGN-205' u'EOG-2564' u'L-4569' u'SLB-6928' u'XEL-21964' u'ALL-24838' u'ONE-5669' u'AEP-161' u'VLO-7990' u'CMS-1665' u'UNH-7792' u'HAL-3443' u'BHI-858' u'NCC-5226' u'C-1335' u'AET-168' u'EIX-14372' u'WYE-23555' u'KSE-17541' u'HES-216' u'MHS-25445' u'TRV-7041' u'HCBK-20374' u'DO-13635' u'NEE-2968' u'BR-1072' u'BEN-812' u'AFL-185' u'DUK-2351' u'MTB-5117' u'UCL-7702' u'CVS-4799' u'TROW-7590' u'NST-20642' u'NI-5310' u'PXD-17436' u'XTO-9074' u'HFC-3620' u'MDU-4760' u'ESV-2621' u'EPD-19079' u'CIN-1550' u'ETR-2637' u'AXP-679' u'APA-448' u'FITB-2855' u'MRO-5035' u'PNW-6090' u'TEG-8264' u'SRE-24778' u'ANTM-23103' u'WMB-8214' u'WPZ-27577' u'SII-6884' u'KMI-40852' u'MS-17080' u'EXC-22114' u'PRU-23328' u'CI-1539' u'CB-1274' u'ESRX-2618' u'OXY-5729' u'APC-455' u'MUR-5126' u'GAS-595' u'TSO-7612' u'MA-32146' u'FE-17850' u'MET-21418' u'CEG-20066' u'BPL-1057' u'SEP-34102' u'CAM-13176' u'ZBH-23047' u'V-35920' u'SWN-7244' u'COV-34010' u'ETE-28056' u'AYE-17618' u'LNT-18584' u'STT-7139' u'MER-4796' u'BIIB-3806' u'NBL-5213' u'GS-20088' u'WR-8265' u'AON-438' u'ALXN-14328' u'PSX-42788' u'PCG-5792' u'WFT-19336' u'MPC-41636' u'STJ-7156' u'SUN-7211' u'NTRS-5479' u'OKS-9804' u'AWK-36098' u'TMO-7493' u'PPP-6127' u'GSF-23206' u'CHK-8461' u'GILD-3212' u'UGI-7739' u'EAS-18745' u'KMG-4266' u'BJS-902' u'CME-24475' u'CELG-1406' u'BMET-967' u'WLP-8210' u'ACL-23477' u'HP-3647' u'GENZ-3166' u'CNP-24064' u'WTR-6193' u'GDT-12321' u'INT-3950' u'BWP-27779' u'HIG-14064' u'WU-32603' u'NVE-7107' u'FRE-2988' u'A-24757' u'EP-2568' u'ICE-27809' u'FNM-2925' u'MMP-22482' u'OGE-5607' u'ISRG-25339' u'SCHW-6704' u'ATO-612' u'EQT-2587' u'UPL-22406' u'CQH-46004' u'DFS-34011' u'NYCB-22250' u'BCR-779' u'REGN-6413' u'COG-1746' u'AMP-27676' u'BSX-1131' u'PBCT-5769' u'EPE-27582' u'FRX-3014' u'WPZ-39963' u'CXO-34440' u'OKE-5634' u'AMTD-16586' u'DNA-24847' u'EEP-23061' u'HUM-3718' u'ABBV-43694' u'MIR-27990' u'COF-12160' u'SHLX-47973' u'MWE-23707' u'EQM-43107' u'ITC-27492' u'ABC-22954' u'CHIR-1499' u'RF-34913' u'NDAQ-27026' u'TFSL-33718' u'HCA-41047' u'PRGO-6161' u'SXL-23465' u'KMI-20744' u'GDW-3144' u'ILMN-21774' u'DPL-2270' u'TE-7369' u'AGN-8572' u'WES-36186' u'NRG-26143' u'CLR-33856' u'WGP-43690' u'PSXP-45132' u'LH-12909' u'RIG-9038' u'RRC-19249' u'AR-45618' u'ZTS-44060' u'KRB-4298' u'AES-166' u'NYX-28145' u'IVZ-16589' u'MYL-5166' u'LIFE-19800' u'BX-34067' u'FBF-25132' u'HSP-26243' u'EPB-36580' u'CLB-13508' u'CPN-35531' u'AM-48018' u'PAGP-45668' u'WLTW-22857' u'TLLP-41297' u'TRGP-40547' u'NFX-10231' u'SUN-43415' u'CFC-1359' u'EW-21382' u'CNX-24758' u'KKR-39905' u'UNM-7797' u'GEN-22720' u'SYF-47415' u'INCY-10187' u'GEL-16005' u'TAP_A-23543' u'TXU-7677' u'ENBL-46743' u'CZZ-34560' u'TGN-24586' u'VRTX-8045' u'UNH_WI-22283'] [ 0.219 0.175 0.174 0.165 0.165 0.163 0.163 0.161 0.161 0.158 0.158 0.149 0.147 0.146 0.143 0.143 0.143 0.142 0.142 0.142 0.142 0.139 0.138 0.137 0.136 0.134 0.133 0.133 0.131 0.13 0.13 0.129 0.128 0.128 0.128 0.126 0.125 0.125 0.124 0.123 0.123 0.122 0.122 0.121 0.121 0.121 0.12 0.119 0.118 0.118 0.118 0.117 0.117 0.115 0.114 0.113 0.112 0.111 0.11 0.11 0.109 0.109 0.108 0.108 0.106 0.105 0.105 0.104 0.104 0.104 0.104 0.104 0.103 0.103 0.103 0.103 0.103 0.103 0.103 0.103 0.102 0.102 0.102 0.102 0.102 0.102 0.101 0.1 0.1 0.099 0.099 0.099 0.099 0.099 0.099 0.099 0.099 0.098 0.097 0.097 0.097 0.097 0.096 0.096 0.096 0.095 0.095 0.095 0.095 0.094 0.094 0.093 0.093 0.092 0.092 0.091 0.091 0.091 0.09 0.09 0.09 0.09 0.09 0.09 0.09 0.09 0.088 0.088 0.088 0.087 0.087 0.087 0.087 0.086 0.086 0.086 0.086 0.086 0.085 0.085 0.085 0.085 0.085 0.085 0.084 0.084 0.084 0.084 0.083 0.083 0.083 0.083 0.082 0.082 0.081 0.081 0.08 0.08 0.08 0.079 0.079 0.078 0.077 0.077 0.077 0.077 0.077 0.076 0.076 0.075 0.074 0.074 0.074 0.073 0.073 0.072 0.072 0.072 0.071 0.071 0.071 0.071 0.07 0.07 0.069 0.069 0.068 0.068 0.066 0.065 0.065 0.065 0.064 0.064 0.064 0.062 0.061 0.061 0.061 0.06 0.06 0.059 0.059 0.058 0.057 0.056 0.056 0.054 0.054 0.054 0.054 0.054 0.054 0.053 0.053 0.053 0.052 0.052 0.052 0.051 0.051 0.051 0.05 0.05 0.05 0.05 0.049 0.049 0.048 0.048 0.046 0.045 0.044 0.044 0.043 0.041 0.041 0.041 0.04 0.04 0.039 0.039 0.038 0.038 0.037 0.037 0.036 0.034 0.034 0.033 0.033 0.032 0.032 0.031 0.03 0.029 0.028 0.026 0.025 0.024 0.023 0.02 0.019 0.017 0.017 0.012 0.01 0.008 0.004 0.001]
plt.plot(bt.risk.alpha.index, bt.risk.alpha.values);
plt.ylabel('Single Factor Market Alpha');