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master's thesis - energy trading system
This project forked from dominikzabron/energy-trading
master's thesis - energy trading system
Microsoft Windows [Version 6.1.7601] Copyright (c) 2009 Microsoft Corporation. All rights reserved. C:\Users\dominik>cd desktop/badania C:\Users\dominik\Desktop\badania>python Python 2.7.3 (default, Apr 10 2012, 23:31:26) [MSC v.1500 32 bit (Intel)] on win 32 Type "help", "copyright", "credits" or "license" for more information. >>> from rdn import * >>> wednesday = RDN("2012-02-29") >>> wednesday.date '2012-02-29' >>> wednesday.daytype 0 >>> wednesday.demand [200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200] >>> wednesday.est array([[ 0.60602626, 0.71278247, 0.7582027 , 0.68193008, 0.64391589, 0.43554595, 0.49973229, 0.46972516, 0.4895125 , 0.46674306, 0.36313025, 0.32369072, 0.29993845, 0.29813774, 0.48007908, 0.44446861, 0.44037383, 0.40930026, 0.43593681, 0.48403951, 0.46960843, 0.50646375, 0.4623189 , 0.40814567], [ 0.382828 , 0.26444713, 0.2382428 , 0.31708518, 0.24667356, 0.56310352, 0.31761511, 0.20275371, 0.14809266, 0.17400557, 0.26917017, 0.37916808, 0.40945031, 0.41442916, 0.21578467, 0.2293558 , 0.23919893, 0.25775484, 0.31811386, 0.27104253, 0.24244237, 0.16183931, 0.30050136, 0.2686133 ], [ 0.01114574, 0.0227704 , 0.0035545 , 0.00098474, 0.10941055, 0.00135053, 0.18265259, 0.32752113, 0.36239484, 0.35925138, 0.36769958, 0.29714119, 0.29061124, 0.2874331 , 0.30413625, 0.32617559, 0.32042724, 0.3329449 , 0.24594933, 0.24491795, 0.2879492 , 0.33169694, 0.23717974, 0.32324103]]) >>> wednesday.min array([ 134.56, 109.55, 105.22, 105.61, 107.38, 138.42, 145.76, 155.17, 172.32, 172.49, 172.41, 170.69, 167.79, 170.65, 157.05, 167.97, 162.55, 185.04, 188.27, 183.07, 172.62, 150.08, 156. , 119.22]) >>> wednesday.safe array([ 176.62322266, 172.8744136 , 172.23233293, 172.08098158, 174.70686942, 182.78062614, 199.79643951, 219.99152159, 260.61322655, 281.13588044, 296.93507284, 317.98699704, 286.99844486, 269.00992694, 274.4056693 , 275.7382623 , 292.33551142, 292.9321906 , 298.98496111, 294.05833349, 240.51261106, 204.78715997, 201.33164983, 186.68675854]) >>> wednesday.performance() 7705.5953015849345 >>> wednesday.ref [array([ 160.91654671, 154.01499051, 148.65509114, 143.84226982, 146.3250162 , 156.48991087, 183.89228698, 180.84107065, 204.09624525, 206.43650243, 206.18202311, 205.85582585, 198.58688746, 197.88563365, 191.20919556, 186.3882555 , 185.8408785 , 201.1514189 , 227.62300376, 226.92180913, 201.11958588, 178.98429717, 180.96362836, 160.04621916]), array([ 157 .44, 156.99, 151.6 , 153.66, 157.03, 161.36, 184.62, 187.13, 202.62, 215.01, 209.57, 211.36, 207.77, 214.06, 196.99, 189.58, 194.26, 207.19, 229.7 , 224.35, 202.66, 173.07, 184.78, 167.76]), array([ 153.82408444, 150.57115446, 144.67 109485, 145.56318383, 149.4962022 , 163.96505646, 182.24569951, 187.71792885, 202.82206959, 213.85855999, 211.82620899, 213.25891858, 211.8680311 , 214.44385623, 197.98230769, 188.02106333, 190.77183576, 210.03395641, 225.9579836 , 221.65781706, 208.64912504, 174.38979677, 182.31396885, 163.60433848])] >>> wednesday.market_data [[(157.44, 564.1), (156.99, 812.6), (151.6, 821.3), (153.66, 859.4), (157.03, 88 4.3), (161.36, 648.4), (184.62, 1222.8), (187.13, 728.0), (202.62, 703.4), (215. 01, 849.2), (209.57, 852.3), (211.36, 823.5), (207.77, 831.1), (214.06, 832.2), (196.99, 751.1), (189.58, 721.6), (194.26, 588.5), (207.19, 911.9), (229.7, 1079 .1), (224.35, 1168.5), (202.66, 797.6), (173.07, 574.5), (184.78, 1573.2), (167. 76, 1024.6)], [(148.1, 830.8), (133.27, 465.4), (122.62, 429.9), (128.15, 464.4) , (129.83, 452.1), (165.98, 317.5), (178.51, 980.9), (189.08, 449.7), (203.49, 4 54.1), (210.77, 534.6), (214.87, 460.6), (214.88, 513.0), (214.87, 437.1), (214. 72, 520.8), (200.19, 594.7), (185.0, 527.6), (184.35, 515.5), (214.55, 498.0), ( 220.83, 807.0), (216.85, 769.6), (220.25, 578.4), (178.52, 727.8), (178.52, 1132 .1), (157.29, 942.3)], [(nan, nan), (125.75, 60.9), (124.92, 59.0), (133.96, 108 .5), (137.45, 52.9), (nan, nan), (179.49, 522.6), (182.08, 515.1), (208.61, 529. 6), (215.84, 578.1), (219.76, 543.9), (224.99, 487.1), (224.02, 600.0), (220.1, 600.0), (210.45, 600.0), (190.48, 600.0), (177.98, 600.0), (219.18, 600.0), (226 .41, 487.2), (216.21, 601.2), (225.24, 600.0), (174.6, 600.0), (181.07, 776.9), (135.58, 596.7)]] >>> wednesday.purchase [[136.96420137904977, 114.04519579092631, 121.31243164418518, 81.831610044313123 , 77.269906928645298, 69.68735228577215, 89.951812758145934, 75.156025729626307, 108.11225077791865, 74.678889070769912, 65.363445378151269, 58.264330437314939, 53.988920979120294, 41.739284292475787, 86.414233576642346, 80.004349007882581, 79.267289719626177, 73.6740469452306, 78.468624994949323, 107.12711241734019, 8 4.529517323885329, 121.03420062182948, 73.971023646914844, 57.140394354056696], [61.698309247189975, 83.67776436087631, 78.40320816624137, 118.06991629739045, 1 11.78903826266803, 104.03403335809307, 80.823772372648023, 53.405773217798071, 1 7.467903653336396, 60.655862934468274, 54.986974789915962, 74.0766878609911, 79. 099947919132646, 90.696686866899654, 47.482664233576642, 67.807556401195953, 75. 87289719626169, 53.763276177792562, 82.179481999272653, 53.686015184913039, 28.9 40321170570094, 10.101129111438388, 88.080217914807946, 91.141040836116787], [0, 2.2770398481973539, 0.28436018957343467, 0.098473658296401048, 10.9410548086866 64, 0, 29.224414869206068, 71.438201052575621, 66.977861011870459, 58.1987231952 85645, 71.684621848739496, 54.12718536135516, 53.528904881397636, 60.80762595656 2127, 52.882481751824805, 46.969285131829302, 44.85981308411214, 65.306409189279 179, 35.416703705200256, 39.186872397746761, 43.265080752772285, 61.978203240058 889, 37.948758438277181, 51.718564809826539], array([ 1.33748937e+00, 2.84217 094e-14, 0.00000000e+00, 2.84217094e-14, 0.00000000e+00, 2.62786144e+01, -2.84217094e-14, 0.00000000e+00, 7.44198456e+00, 6.46652480e+00, 7.96495798e+00, 1.35317963e+01, 1.33822262e+01, 6.75640288e+00, 1.32206204e+01, 5.21880946e+00, 0.00000000e+00, 7.25626769e+00, 3.93518930e+00, 2.84217094e-14, 4.32650808e+01, 6.88646703e+00, 0.00000000e+00, -2.84217094e-14])] >>> wednesday.calls [array([ 121.20525172, 142.55649474, 151.64053956, 136.38601674, 128.78317821, 87.10919036, 99.94645862, 93.94503216, 97.90250086, 93.34861134, 72.62605042, 64.73814493, 59.98768998, 59.62754899, 96.01581509, 88.89372112, 88.07476636, 81.86005216, 87.18736111, 96.80790269, 93.92168592, 101.29275078, 92.46377956, 81.62913479]), array([ 60 .80664966, 81.40072451, 77.97666788, 117.97144264, 100.84798345, 130.0425417 , 73.51766866, 59.33974802, 19.40878184, 53.47083538, 61.09663866, 82.30743096, 87.88883102, 100.77409652, 52.75851582, 54.76053275, 56.64726302, 59.73697353, 72.34150875, 43.88929709, 57.88064234, 12.62641139, 78.59302831, 78.21139963]), array([ 1. 33748937, 2.27703985, 0.28436019, 0.09847366, 10.94105481, 26.27861436, 29.22441487, 71.43820105, 74.41984557, 64.66524799, 79.64957983, 67.6589817 , 66.9111311 , 67.56402884, 66.10310219, 52.18809459, 44.85981308, 72.56267688, 39.35189301, 39.1868724 , 86.53016151, 68.86467027, 37.94875844, 51.71856481])] >>> wednesday.rest [array([-15.75894966, 28.51129895, 30.32810791, 54.5544067 , 51.51327129, 17.42183807, 9.99464586, 18.78900643, -10.20974991, 18.66972227, 7.26260504, 6.47381449, 5.998769 , 17.8882647 , 9.60158151, 8.88937211, 8.80747664, 8.18600522, 8.71873611, -10.31920973, 9.39216859, -19.74144984, 18.49275591, 24.48874044]), array([ -0.8916 5958, -2.27703985, -0.42654028, -0.09847366, -10.94105481, 26.00850834, -7.30610372, 5.9339748 , 1.94087818, -7.18502755, 6.10966387, 8.2307431 , 8.7888831 , 10.07740965, 5.27585158, -13.04702365, -19.22563418, 5.97369735, -9.83797325, -9.7967181 , 28.94032117, 2.52528228, -9.48718961, -12.9296412 ])] >>> wednesday.conf_level 0.9 >>> wednesday.var [189.38, 187.91, 187.47999999999999, 187.94999999999999, 188.38, 193.06999999999 999, 212.11000000000001, 221.0, 280.0, 311.0, 310.0, 310.0, 291.42000000000002, 280.0, 266.61000000000001, 270.97000000000003, 310.0, 350.0, 312.89999999999998, 310.0, 254.75999999999999, 220.77000000000001, 216.0, 200.0] >>> backtesting("2011-01-01", "2012-09-30") 5403353.3890544251 >>>
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