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"Starting Portfolio Value: 100000.00\n",
"2017-01-03, Cash 100000.0 Value 100000.0\n",
"2017-01-04, Cash 100000.0 Value 100000.0\n",
"2017-01-05, Cash 100000.0 Value 100000.0\n",
"2017-01-06, Cash 100000.0 Value 100000.0\n",
"2017-01-09, Cash 100000.0 Value 100000.0\n",
"2017-01-10, Cash 100000.0 Value 100000.0\n",
"2017-01-11, Cash 100000.0 Value 100000.0\n",
"2017-01-12, Cash 100000.0 Value 100000.0\n",
"2017-01-13, Cash 100000.0 Value 100000.0\n",
"2017-01-16, Cash 100000.0 Value 100000.0\n",
"2017-01-17, Cash 100000.0 Value 100000.0\n",
"2017-01-18, Cash 100000.0 Value 100000.0\n",
"2017-01-19, Cash 100000.0 Value 100000.0\n",
"2017-01-20, Cash 100000.0 Value 100000.0\n",
"2017-01-23, Cash 100000.0 Value 100000.0\n",
"2017-01-24, Cash 100000.0 Value 100000.0\n",
"2017-01-25, Cash 100000.0 Value 100000.0\n",
"2017-01-26, Cash 100000.0 Value 100000.0\n",
"2017-01-27, Cash 100000.0 Value 100000.0\n",
"2017-01-30, Cash 100000.0 Value 100000.0\n",
"2017-01-31, Cash 100000.0 Value 100000.0\n",
"2017-02-01, Cash 100000.0 Value 100000.0\n",
"2017-02-02, Cash 100000.0 Value 100000.0\n",
"2017-02-03, Cash 100000.0 Value 100000.0\n",
"2017-02-06, Cash 100000.0 Value 100000.0\n",
"2017-02-07, Cash 100000.0 Value 100000.0\n",
"2017-02-08, Cash 100000.0 Value 100000.0\n",
"2017-02-09, Cash 100000.0 Value 100000.0\n",
"2017-02-10, Cash 100000.0 Value 100000.0\n",
"2017-02-13, Cash 100000.0 Value 100000.0\n",
"2017-02-13, Close, 207.00\n",
"Max price: 219.6\n",
"Min price: 200.0\n",
"2017-02-14, Cash 100000.0 Value 100000.0\n",
"2017-02-14, Close, 206.00\n",
"Max price: 219.6\n",
"Min price: 203.0\n",
"2017-02-15, Cash 100000.0 Value 100000.0\n",
"2017-02-15, Close, 201.40\n",
"Max price: 219.6\n",
"Min price: 201.4\n",
"2017-02-16, Cash 100000.0 Value 100000.0\n",
"2017-02-16, Close, 206.00\n",
"Max price: 219.6\n",
"Min price: 201.4\n",
"2017-02-17, Cash 100000.0 Value 100000.0\n",
"2017-02-17, Close, 205.00\n",
"Max price: 219.6\n",
"Min price: 201.4\n",
"2017-02-20, Cash 100000.0 Value 100000.0\n",
"2017-02-20, Close, 205.00\n",
"Max price: 219.6\n",
"Min price: 201.4\n",
"2017-02-21, Cash 100000.0 Value 100000.0\n",
"2017-02-21, Close, 206.00\n",
"Max price: 219.6\n",
"Min price: 201.4\n",
"2017-02-22, Cash 100000.0 Value 100000.0\n",
"2017-02-22, Close, 201.80\n",
"Max price: 214.0\n",
"Min price: 201.4\n",
"2017-02-23, Cash 100000.0 Value 100000.0\n",
"2017-02-23, Close, 203.00\n",
"Max price: 212.0\n",
"Min price: 201.4\n",
"2017-02-24, Cash 100000.0 Value 100000.0\n",
"2017-02-24, Close, 201.80\n",
"Max price: 209.0\n",
"Min price: 201.4\n",
"2017-02-27, Cash 100000.0 Value 100000.0\n",
"2017-02-27, Close, 203.00\n",
"Max price: 209.0\n",
"Min price: 201.4\n",
"2017-02-28, Cash 100000.0 Value 100000.0\n",
"2017-02-28, Close, 201.80\n",
"Max price: 209.0\n",
"Min price: 201.4\n",
"2017-03-01, Cash 100000.0 Value 100000.0\n",
"2017-03-01, Close, 202.80\n",
"Max price: 209.0\n",
"Min price: 201.4\n",
"2017-03-02, Cash 100000.0 Value 100000.0\n",
"2017-03-02, Close, 203.40\n",
"Max price: 209.0\n",
"Min price: 201.4\n",
"2017-03-03, Cash 100000.0 Value 100000.0\n",
"2017-03-03, Close, 201.00\n",
"Max price: 209.0\n",
"Min price: 201.0\n",
"2017-03-06, Cash 100000.0 Value 100000.0\n",
"2017-03-06, Close, 198.00\n",
"Max price: 209.0\n",
"Min price: 198.0\n",
"2017-03-07, Cash 100000.0 Value 100000.0\n",
"2017-03-07, Close, 194.90\n",
"Max price: 209.0\n",
"Min price: 194.9\n",
"2017-03-08, Cash 100000.0 Value 100000.0\n",
"2017-03-08, Close, 193.80\n",
"Max price: 209.0\n",
"Min price: 193.8\n",
"2017-03-09, Cash 100000.0 Value 100000.0\n",
"2017-03-09, Close, 197.10\n",
"Max price: 209.0\n",
"Min price: 193.8\n",
"2017-03-10, Cash 100000.0 Value 100000.0\n",
"2017-03-10, Close, 194.00\n",
"Max price: 209.0\n",
"Min price: 193.8\n",
"2017-03-13, Cash 100000.0 Value 100000.0\n",
"2017-03-13, Close, 196.80\n",
"Max price: 208.0\n",
"Min price: 193.8\n",
"2017-03-14, Cash 100000.0 Value 100000.0\n",
"2017-03-14, Close, 197.00\n",
"Max price: 208.0\n",
"Min price: 193.8\n",
"2017-03-15, Cash 100000.0 Value 100000.0\n",
"2017-03-15, Close, 196.00\n",
"Max price: 208.0\n",
"Min price: 193.8\n",
"2017-03-16, Cash 100000.0 Value 100000.0\n",
"2017-03-16, Close, 196.00\n",
"Max price: 208.0\n",
"Min price: 193.8\n",
"2017-03-17, Cash 100000.0 Value 100000.0\n",
"2017-03-17, Close, 193.20\n",
"Max price: 208.0\n",
"Min price: 193.2\n",
"2017-03-20, Cash 100000.0 Value 100000.0\n",
"2017-03-20, Close, 192.80\n",
"Max price: 207.0\n",
"Min price: 192.8\n",
"2017-03-21, Cash 100000.0 Value 100000.0\n",
"2017-03-21, Close, 194.00\n",
"Max price: 207.0\n",
"Min price: 192.8\n",
"2017-03-22, Cash 100000.0 Value 100000.0\n",
"2017-03-22, Close, 191.00\n",
"Max price: 207.0\n",
"Min price: 191.0\n",
"2017-03-23, Cash 100000.0 Value 100000.0\n",
"2017-03-23, Close, 190.20\n",
"Max price: 207.0\n",
"Min price: 190.2\n",
"2017-03-24, Cash 100000.0 Value 100000.0\n",
"2017-03-24, Close, 188.00\n",
"Max price: 207.0\n",
"Min price: 188.0\n",
"2017-03-27, Cash 100000.0 Value 100000.0\n",
"2017-03-27, Close, 182.10\n",
"Max price: 206.0\n",
"Min price: 182.1\n",
"2017-03-28, Cash 100000.0 Value 100000.0\n",
"2017-03-28, Close, 182.50\n",
"Max price: 206.0\n",
"Min price: 182.1\n",
"2017-03-29, Cash 100000.0 Value 100000.0\n",
"2017-03-29, Close, 188.00\n",
"Max price: 206.0\n",
"Min price: 182.1\n",
"2017-03-30, Cash 100000.0 Value 100000.0\n",
"2017-03-30, Close, 194.50\n",
"Max price: 206.0\n",
"Min price: 182.1\n",
"2017-03-31, Cash 100000.0 Value 100000.0\n",
"2017-03-31, Close, 197.50\n",
"Max price: 206.0\n",
"Min price: 182.1\n",
"2017-04-03, Cash 100000.0 Value 100000.0\n",
"2017-04-03, Close, 197.00\n",
"Max price: 206.0\n",
"Min price: 182.1\n",
"2017-04-04, Cash 100000.0 Value 100000.0\n",
"2017-04-04, Close, 198.00\n",
"Max price: 203.4\n",
"Min price: 182.1\n",
"2017-04-05, Cash 100000.0 Value 100000.0\n",
"2017-04-05, Close, 198.20\n",
"Max price: 203.4\n",
"Min price: 182.1\n",
"2017-04-06, Cash 100000.0 Value 100000.0\n",
"2017-04-06, Close, 200.00\n",
"Max price: 203.4\n",
"Min price: 182.1\n",
"2017-04-07, Cash 100000.0 Value 100000.0\n",
"2017-04-07, Close, 210.40\n",
"Max price: 210.4\n",
"Min price: 182.1\n",
"2017-04-07, BUY CREATE, 210.40\n",
"2017-04-10, BUY EXECUTED, Price: 210.00, Cost: 9870.00, Comm 59.22\n",
"2017-04-10, Cash 90070.78 Value 99874.98\n",
"2017-04-10, Close, 208.60\n",
"Max price: 210.4\n",
"Min price: 182.1\n",
"2017-04-11, Cash 90070.78 Value 99827.98\n",
"2017-04-11, Close, 207.60\n",
"Max price: 210.4\n",
"Min price: 182.1\n",
"2017-04-12, Cash 90070.78 Value 99884.38\n",
"2017-04-12, Close, 208.80\n",
"Max price: 210.4\n",
"Min price: 182.1\n",
"2017-04-17, Cash 90070.78 Value 99893.78\n",
"2017-04-17, Close, 209.00\n",
"Max price: 210.4\n",
"Min price: 182.1\n",
"2017-04-18, Cash 90070.78 Value 99799.78\n",
"2017-04-18, Close, 207.00\n",
"Max price: 210.4\n",
"Min price: 182.1\n",
"2017-04-19, Cash 90070.78 Value 99630.58\n",
"2017-04-19, Close, 203.40\n",
"Max price: 210.4\n",
"Min price: 182.1\n",
"2017-04-20, Cash 90070.78 Value 99705.78\n",
"2017-04-20, Close, 205.00\n",
"Max price: 210.4\n",
"Min price: 182.1\n",
"2017-04-21, Cash 90070.78 Value 99846.78\n",
"2017-04-21, Close, 208.00\n",
"Max price: 210.4\n",
"Min price: 182.1\n",
"2017-04-24, Cash 90070.78 Value 99959.58\n",
"2017-04-24, Close, 210.40\n",
"Max price: 210.4\n",
"Min price: 182.1\n",
"2017-04-24, BUY CREATE, 210.40\n",
"2017-04-25, BUY EXECUTED, Price: 210.60, Cost: 9898.20, Comm 59.39\n",
"2017-04-25, Cash 80113.1908 Value 100229.1908\n",
"2017-04-25, Close, 214.00\n",
"Max price: 214.0\n",
"Min price: 182.1\n",
"2017-04-25, BUY CREATE, 214.00\n",
"2017-04-26, BUY EXECUTED, Price: 214.00, Cost: 9844.00, Comm 59.06\n",
"2017-04-26, Cash 70210.1268 Value 100170.1268\n",
"2017-04-26, Close, 214.00\n",
"Max price: 214.0\n",
"Min price: 182.1\n",
"2017-04-26, BUY CREATE, 214.00\n",
"2017-04-27, BUY EXECUTED, Price: 214.00, Cost: 9844.00, Comm 59.06\n",
"2017-04-27, Cash 60307.0628 Value 99367.0628\n",
"2017-04-27, Close, 210.00\n",
"Max price: 214.0\n",
"Min price: 182.1\n",
"2017-05-02, Cash 60307.0628 Value 100445.8628\n",
"2017-05-02, Close, 215.80\n",
"Max price: 215.8\n",
"Min price: 182.1\n",
"2017-05-02, BUY CREATE, 215.80\n",
"2017-05-03, BUY EXECUTED, Price: 215.80, Cost: 9926.80, Comm 59.56\n",
"2017-05-03, Cash 50320.702 Value 99783.10199999998\n",
"2017-05-03, Close, 213.20\n",
"Max price: 215.8\n",
"Min price: 182.1\n",
"2017-05-04, Cash 50320.702 Value 99829.50200000001\n",
"2017-05-04, Close, 213.40\n",
"Max price: 215.8\n",
"Min price: 182.1\n",
"2017-05-05, Cash 50320.702 Value 100432.70199999999\n",
"2017-05-05, Close, 216.00\n",
"Max price: 216.0\n",
"Min price: 182.1\n",
"2017-05-05, BUY CREATE, 216.00\n",
"2017-05-08, BUY EXECUTED, Price: 216.00, Cost: 9936.00, Comm 59.62\n",
"2017-05-08, Cash 40325.085999999996 Value 101095.886\n",
"2017-05-08, Close, 218.60\n",
"Max price: 218.6\n",
"Min price: 182.1\n",
"2017-05-08, BUY CREATE, 218.60\n",
"2017-05-09, BUY EXECUTED, Price: 218.80, Cost: 9846.00, Comm 59.08\n",
"2017-05-09, Cash 30420.009999999995 Value 101157.01\n",
"2017-05-09, Close, 219.00\n",
"Max price: 219.0\n",
"Min price: 182.1\n",
"2017-05-09, BUY CREATE, 219.00\n",
"2017-05-10, BUY EXECUTED, Price: 219.00, Cost: 9855.00, Comm 59.13\n",
"2017-05-10, Cash 20505.879999999994 Value 98153.87999999999\n",
"2017-05-10, Close, 211.00\n",
"Max price: 219.0\n",
"Min price: 182.1\n",
"2017-05-11, Cash 20505.879999999994 Value 98889.87999999999\n",
"2017-05-11, Close, 213.00\n",
"Max price: 219.0\n",
"Min price: 182.1\n",
"2017-05-12, Cash 20505.879999999994 Value 98521.87999999999\n",
"2017-05-12, Close, 212.00\n",
"Max price: 219.0\n",
"Min price: 182.5\n",
"2017-05-15, Cash 20505.879999999994 Value 96313.87999999999\n",
"2017-05-15, Close, 206.00\n",
"Max price: 219.0\n",
"Min price: 188.0\n",
"2017-05-16, Cash 20505.879999999994 Value 95945.87999999999\n",
"2017-05-16, Close, 205.00\n",
"Max price: 219.0\n",
"Min price: 194.5\n",
"2017-05-17, Cash 20505.879999999994 Value 95945.87999999999\n",
"2017-05-17, Close, 205.00\n",
"Max price: 219.0\n",
"Min price: 197.0\n",
"2017-05-18, Cash 20505.879999999994 Value 94105.87999999999\n",
"2017-05-18, Close, 200.00\n",
"Max price: 219.0\n",
"Min price: 197.0\n",
"2017-05-19, Cash 20505.879999999994 Value 95209.87999999999\n",
"2017-05-19, Close, 203.00\n",
"Max price: 219.0\n",
"Min price: 198.0\n",
"2017-05-22, Cash 20505.879999999994 Value 94915.47999999998\n",
"2017-05-22, Close, 202.20\n",
"Max price: 219.0\n",
"Min price: 198.2\n",
"2017-05-23, Cash 20505.879999999994 Value 94473.87999999999\n",
"2017-05-23, Close, 201.00\n",
"Max price: 219.0\n",
"Min price: 200.0\n",
"2017-05-24, Cash 20505.879999999994 Value 96387.47999999998\n",
"2017-05-24, Close, 206.20\n",
"Max price: 219.0\n",
"Min price: 200.0\n",
"2017-05-25, Cash 20505.879999999994 Value 96681.87999999999\n",
"2017-05-25, Close, 207.00\n",
"Max price: 219.0\n",
"Min price: 200.0\n",
"2017-05-26, Cash 20505.879999999994 Value 94621.07999999999\n",
"2017-05-26, Close, 201.40\n",
"Max price: 219.0\n",
"Min price: 200.0\n",
"2017-05-29, Cash 20505.879999999994 Value 95209.87999999999\n",
"2017-05-29, Close, 203.00\n",
"Max price: 219.0\n",
"Min price: 200.0\n",
"2017-05-30, Cash 20505.879999999994 Value 95504.28\n",
"2017-05-30, Close, 203.80\n",
"Max price: 219.0\n",
"Min price: 200.0\n",
"2017-05-31, Cash 20505.879999999994 Value 95798.68\n",
"2017-05-31, Close, 204.60\n",
"Max price: 219.0\n",
"Min price: 200.0\n",
"2017-06-01, Cash 20505.879999999994 Value 99993.87999999999\n",
"2017-06-01, Close, 216.00\n",
"Max price: 219.0\n",
"Min price: 200.0\n",
"2017-06-02, Cash 20505.879999999994 Value 99257.87999999999\n",
"2017-06-02, Close, 214.00\n",
"Max price: 219.0\n",
"Min price: 200.0\n",
"2017-06-05, Cash 20505.879999999994 Value 99993.87999999999\n",
"2017-06-05, Close, 216.00\n",
"Max price: 219.0\n",
"Min price: 200.0\n",
"2017-06-06, Cash 20505.879999999994 Value 99552.28\n",
"2017-06-06, Close, 214.80\n",
"Max price: 219.0\n",
"Min price: 200.0\n",
"2017-06-07, Cash 20505.879999999994 Value 100214.68\n",
"2017-06-07, Close, 216.60\n",
"Max price: 219.0\n",
"Min price: 200.0\n",
"2017-06-08, Cash 20505.879999999994 Value 99920.28\n",
"2017-06-08, Close, 215.80\n",
"Max price: 219.0\n",
"Min price: 200.0\n",
"2017-06-09, Cash 20505.879999999994 Value 99920.28\n",
"2017-06-09, Close, 215.80\n",
"Max price: 219.0\n",
"Min price: 200.0\n",
"2017-06-13, Cash 20505.879999999994 Value 99331.47999999998\n",
"2017-06-13, Close, 214.20\n",
"Max price: 219.0\n",
"Min price: 200.0\n",
"2017-06-14, Cash 20505.879999999994 Value 99773.07999999999\n",
"2017-06-14, Close, 215.40\n",
"Max price: 219.0\n",
"Min price: 200.0\n",
"2017-06-15, Cash 20505.879999999994 Value 99699.47999999998\n",
"2017-06-15, Close, 215.20\n",
"Max price: 219.0\n",
"Min price: 200.0\n",
"2017-06-16, Cash 20505.879999999994 Value 100361.87999999999\n",
"2017-06-16, Close, 217.00\n",
"Max price: 219.0\n",
"Min price: 200.0\n",
"2017-06-19, Cash 20505.879999999994 Value 99993.87999999999\n",
"2017-06-19, Close, 216.00\n",
"Max price: 219.0\n",
"Min price: 200.0\n",
"2017-06-20, Cash 20505.879999999994 Value 99625.87999999999\n",
"2017-06-20, Close, 215.00\n",
"Max price: 219.0\n",
"Min price: 200.0\n",
"2017-06-21, Cash 20505.879999999994 Value 99773.07999999999\n",
"2017-06-21, Close, 215.40\n",
"Max price: 217.0\n",
"Min price: 200.0\n",
"2017-06-22, Cash 20505.879999999994 Value 98816.28\n",
"2017-06-22, Close, 212.80\n",
"Max price: 217.0\n",
"Min price: 200.0\n",
"2017-06-23, Cash 20505.879999999994 Value 98153.87999999999\n",
"2017-06-23, Close, 211.00\n",
"Max price: 217.0\n",
"Min price: 200.0\n",
"2017-06-27, Cash 20505.879999999994 Value 97785.87999999999\n",
"2017-06-27, Close, 210.00\n",
"Max price: 217.0\n",
"Min price: 200.0\n",
"2017-06-28, Cash 20505.879999999994 Value 97270.68\n",
"2017-06-28, Close, 208.60\n",
"Max price: 217.0\n",
"Min price: 200.0\n",
"2017-06-29, Cash 20505.879999999994 Value 96093.07999999999\n",
"2017-06-29, Close, 205.40\n",
"Max price: 217.0\n",
"Min price: 200.0\n",
"2017-06-30, Cash 20505.879999999994 Value 95577.87999999999\n",
"2017-06-30, Close, 204.00\n",
"Max price: 217.0\n",
"Min price: 200.0\n",
"2017-07-03, Cash 20505.879999999994 Value 96387.47999999998\n",
"2017-07-03, Close, 206.20\n",
"Max price: 217.0\n",
"Min price: 201.0\n",
"2017-07-04, Cash 20505.879999999994 Value 97049.87999999999\n",
"2017-07-04, Close, 208.00\n",
"Max price: 217.0\n",
"Min price: 201.0\n",
"2017-07-05, Cash 20505.879999999994 Value 97049.87999999999\n",
"2017-07-05, Close, 208.00\n",
"Max price: 217.0\n",
"Min price: 201.0\n",
"2017-07-06, Cash 20505.879999999994 Value 96755.47999999998\n",
"2017-07-06, Close, 207.20\n",
"Max price: 217.0\n",
"Min price: 201.4\n",
"2017-07-07, Cash 20505.879999999994 Value 97049.87999999999\n",
"2017-07-07, Close, 208.00\n",
"Max price: 217.0\n",
"Min price: 201.4\n",
"2017-07-10, Cash 20505.879999999994 Value 97049.87999999999\n",
"2017-07-10, Close, 208.00\n",
"Max price: 217.0\n",
"Min price: 201.4\n",
"2017-07-11, Cash 20505.879999999994 Value 97049.87999999999\n",
"2017-07-11, Close, 208.00\n",
"Max price: 217.0\n",
"Min price: 203.0\n",
"2017-07-12, Cash 20505.879999999994 Value 98521.87999999999\n",
"2017-07-12, Close, 212.00\n",
"Max price: 217.0\n",
"Min price: 203.8\n",
"2017-07-13, Cash 20505.879999999994 Value 99478.68\n",
"2017-07-13, Close, 214.60\n",
"Max price: 217.0\n",
"Min price: 204.0\n",
"2017-07-14, Cash 20505.879999999994 Value 99625.87999999999\n",
"2017-07-14, Close, 215.00\n",
"Max price: 217.0\n",
"Min price: 204.0\n",
"2017-07-17, Cash 20505.879999999994 Value 99699.47999999998\n",
"2017-07-17, Close, 215.20\n",
"Max price: 217.0\n",
"Min price: 204.0\n",
"2017-07-18, Cash 20505.879999999994 Value 100361.87999999999\n",
"2017-07-18, Close, 217.00\n",
"Max price: 217.0\n",
"Min price: 204.0\n",
"2017-07-18, BUY CREATE, 217.00\n",
"2017-07-19, BUY EXECUTED, Price: 217.00, Cost: 9982.00, Comm 59.89\n",
"2017-07-19, Cash 10463.987999999994 Value 101709.588\n",
"2017-07-19, Close, 220.40\n",
"Max price: 220.4\n",
"Min price: 204.0\n",
"2017-07-19, BUY CREATE, 220.40\n",
"2017-07-20, BUY EXECUTED, Price: 220.40, Cost: 9918.00, Comm 59.51\n",
"2017-07-20, Cash 486.47999999999394 Value 101466.48\n",
"2017-07-20, Close, 220.00\n",
"Max price: 220.4\n",
"Min price: 204.0\n",
"2017-07-21, Cash 486.47999999999394 Value 102292.68000000001\n",
"2017-07-21, Close, 221.80\n",
"Max price: 221.8\n",
"Min price: 204.0\n",
"2017-07-21, BUY CREATE, 221.80\n",
"2017-07-24, BUY EXECUTED, Price: 221.80, Cost: 443.60, Comm 2.66\n",
"2017-07-24, Cash 40.21839999999391 Value 101091.4184\n",
"2017-07-24, Close, 219.20\n",
"Max price: 221.8\n",
"Min price: 204.0\n",
"2017-07-25, Cash 40.21839999999391 Value 100446.0184\n",
"2017-07-25, Close, 217.80\n",
"Max price: 221.8\n",
"Min price: 204.0\n",
"2017-07-26, Cash 40.21839999999391 Value 99985.0184\n",
"2017-07-26, Close, 216.80\n",
"Max price: 221.8\n",
"Min price: 204.0\n",
"2017-07-27, Cash 40.21839999999391 Value 100999.2184\n",
"2017-07-27, Close, 219.00\n",
"Max price: 221.8\n",
"Min price: 204.0\n",
"2017-07-28, Cash 40.21839999999391 Value 102382.2184\n",
"2017-07-28, Close, 222.00\n",
"Max price: 222.0\n",
"Min price: 204.0\n",
"2017-07-31, Cash 40.21839999999391 Value 103765.2184\n",
"2017-07-31, Close, 225.00\n",
"Max price: 225.0\n",
"Min price: 204.0\n",
"2017-08-01, Cash 40.21839999999391 Value 102843.2184\n",
"2017-08-01, Close, 223.00\n",
"Max price: 225.0\n",
"Min price: 204.0\n",
"2017-08-02, Cash 40.21839999999391 Value 100538.2184\n",
"2017-08-02, Close, 218.00\n",
"Max price: 225.0\n",
"Min price: 204.0\n",
"2017-08-03, Cash 40.21839999999391 Value 99616.2184\n",
"2017-08-03, Close, 216.00\n",
"Max price: 225.0\n",
"Min price: 204.0\n",
"2017-08-04, Cash 40.21839999999391 Value 99247.4184\n",
"2017-08-04, Close, 215.20\n",
"Max price: 225.0\n",
"Min price: 204.0\n",
"2017-08-07, Cash 40.21839999999391 Value 100999.2184\n",
"2017-08-07, Close, 219.00\n",
"Max price: 225.0\n",
"Min price: 204.0\n",
"2017-08-08, Cash 40.21839999999391 Value 100999.2184\n",
"2017-08-08, Close, 219.00\n",
"Max price: 225.0\n",
"Min price: 204.0\n",
"2017-08-09, Cash 40.21839999999391 Value 100077.2184\n",
"2017-08-09, Close, 217.00\n",
"Max price: 225.0\n",
"Min price: 204.0\n",
"2017-08-10, Cash 40.21839999999391 Value 100077.2184\n",
"2017-08-10, Close, 217.00\n",
"Max price: 225.0\n",
"Min price: 204.0\n",
"2017-08-11, Cash 40.21839999999391 Value 99800.6184\n",
"2017-08-11, Close, 216.40\n",
"Max price: 225.0\n",
"Min price: 206.2\n",
"2017-08-14, Cash 40.21839999999391 Value 102382.2184\n",
"2017-08-14, Close, 222.00\n",
"Max price: 225.0\n",
"Min price: 207.2\n",
"2017-08-15, Cash 40.21839999999391 Value 103765.2184\n",
"2017-08-15, Close, 225.00\n",
"Max price: 225.0\n",
"Min price: 207.2\n",
"2017-08-16, Cash 40.21839999999391 Value 110219.2184\n",
"2017-08-16, Close, 239.00\n",
"Max price: 239.0\n",
"Min price: 207.2\n",
"2017-08-17, Cash 40.21839999999391 Value 109850.4184\n",
"2017-08-17, Close, 238.20\n",
"Max price: 239.0\n",
"Min price: 208.0\n",
"2017-08-18, Cash 40.21839999999391 Value 108467.4184\n",
"2017-08-18, Close, 235.20\n",
"Max price: 239.0\n",
"Min price: 208.0\n",
"2017-08-22, Cash 40.21839999999391 Value 110680.2184\n",
"2017-08-22, Close, 240.00\n",
"Max price: 240.0\n",
"Min price: 208.0\n",
"2017-08-23, Cash 40.21839999999391 Value 110311.4184\n",
"2017-08-23, Close, 239.20\n",
"Max price: 240.0\n",
"Min price: 212.0\n",
"2017-08-24, Cash 40.21839999999391 Value 110680.2184\n",
"2017-08-24, Close, 240.00\n",
"Max price: 240.0\n",
"Min price: 214.6\n",
"2017-08-25, Cash 40.21839999999391 Value 110219.2184\n",
"2017-08-25, Close, 239.00\n",
"Max price: 240.0\n",
"Min price: 215.0\n",
"2017-08-29, Cash 40.21839999999391 Value 110127.0184\n",
"2017-08-29, Close, 238.80\n",
"Max price: 240.0\n",
"Min price: 215.2\n",
"2017-08-30, Cash 40.21839999999391 Value 110127.0184\n",
"2017-08-30, Close, 238.80\n",
"Max price: 240.0\n",
"Min price: 215.2\n",
"2017-08-31, Cash 40.21839999999391 Value 109850.4184\n",
"2017-08-31, Close, 238.20\n",
"Max price: 240.0\n",
"Min price: 215.2\n",
"2017-09-04, Cash 40.21839999999391 Value 109758.2184\n",
"2017-09-04, Close, 238.00\n",
"Max price: 240.0\n",
"Min price: 215.2\n",
"2017-09-05, Cash 40.21839999999391 Value 112524.2184\n",
"2017-09-05, Close, 244.00\n",
"Max price: 244.0\n",
"Min price: 215.2\n",
"2017-09-06, Cash 40.21839999999391 Value 111141.2184\n",
"2017-09-06, Close, 241.00\n",
"Max price: 244.0\n",
"Min price: 215.2\n",
"2017-09-07, Cash 40.21839999999391 Value 113261.8184\n",
"2017-09-07, Close, 245.60\n",
"Max price: 245.6\n",
"Min price: 215.2\n",
"2017-09-08, Cash 40.21839999999391 Value 112524.2184\n",
"2017-09-08, Close, 244.00\n",
"Max price: 245.6\n",
"Min price: 215.2\n",
"2017-09-11, Cash 40.21839999999391 Value 112524.2184\n",
"2017-09-11, Close, 244.00\n",
"Max price: 245.6\n",
"Min price: 215.2\n",
"2017-09-13, Cash 40.21839999999391 Value 111602.2184\n",
"2017-09-13, Close, 242.00\n",
"Max price: 245.6\n",
"Min price: 215.2\n",
"2017-09-14, Cash 40.21839999999391 Value 112985.2184\n",
"2017-09-14, Close, 245.00\n",
"Max price: 245.6\n",
"Min price: 215.2\n",
"2017-09-15, Cash 40.21839999999391 Value 112063.2184\n",
"2017-09-15, Close, 243.00\n",
"Max price: 245.6\n",
"Min price: 215.2\n",
"2017-09-18, Cash 40.21839999999391 Value 112985.2184\n",
"2017-09-18, Close, 245.00\n",
"Max price: 245.6\n",
"Min price: 215.2\n",
"2017-09-19, Cash 40.21839999999391 Value 112524.2184\n",
"2017-09-19, Close, 244.00\n",
"Max price: 245.6\n",
"Min price: 215.2\n",
"2017-09-20, Cash 40.21839999999391 Value 111602.2184\n",
"2017-09-20, Close, 242.00\n",
"Max price: 245.6\n",
"Min price: 215.2\n",
"2017-09-21, Cash 40.21839999999391 Value 113446.2184\n",
"2017-09-21, Close, 246.00\n",
"Max price: 246.0\n",
"Min price: 216.4\n",
"2017-09-22, Cash 40.21839999999391 Value 112893.0184\n",
"2017-09-22, Close, 244.80\n",
"Max price: 246.0\n",
"Min price: 216.4\n",
"2017-09-25, Cash 40.21839999999391 Value 112985.2184\n",
"2017-09-25, Close, 245.00\n",
"Max price: 246.0\n",
"Min price: 216.4\n",
"2017-09-26, Cash 40.21839999999391 Value 115198.0184\n",
"2017-09-26, Close, 249.80\n",
"Max price: 249.8\n",
"Min price: 216.4\n",
"2017-09-27, Cash 40.21839999999391 Value 114737.0184\n",
"2017-09-27, Close, 248.80\n",
"Max price: 249.8\n",
"Min price: 216.4\n",
"2017-09-28, Cash 40.21839999999391 Value 111602.2184\n",
"2017-09-28, Close, 242.00\n",
"Max price: 249.8\n",
"Min price: 222.0\n",
"2017-09-29, Cash 40.21839999999391 Value 112432.0184\n",
"2017-09-29, Close, 243.80\n",
"Max price: 249.8\n",
"Min price: 225.0\n",
"2017-10-02, Cash 40.21839999999391 Value 111878.8184\n",
"2017-10-02, Close, 242.60\n",
"Max price: 249.8\n",
"Min price: 235.2\n",
"2017-10-03, Cash 40.21839999999391 Value 111602.2184\n",
"2017-10-03, Close, 242.00\n",
"Max price: 249.8\n",
"Min price: 235.2\n",
"2017-10-04, Cash 40.21839999999391 Value 111786.6184\n",
"2017-10-04, Close, 242.40\n",
"Max price: 249.8\n",
"Min price: 235.2\n",
"2017-10-05, Cash 40.21839999999391 Value 111510.0184\n",
"2017-10-05, Close, 241.80\n",
"Max price: 249.8\n",
"Min price: 238.0\n",
"2017-10-06, Cash 40.21839999999391 Value 111694.4184\n",
"2017-10-06, Close, 242.20\n",
"Max price: 249.8\n",
"Min price: 238.0\n",
"2017-10-09, Cash 40.21839999999391 Value 113354.0184\n",
"2017-10-09, Close, 245.80\n",
"Max price: 249.8\n",
"Min price: 238.0\n",
"2017-10-10, Cash 40.21839999999391 Value 112985.2184\n",
"2017-10-10, Close, 245.00\n",
"Max price: 249.8\n",
"Min price: 238.0\n",
"2017-10-11, Cash 40.21839999999391 Value 112524.2184\n",
"2017-10-11, Close, 244.00\n",
"Max price: 249.8\n",
"Min price: 238.0\n",
"2017-10-12, Cash 40.21839999999391 Value 112800.8184\n",
"2017-10-12, Close, 244.60\n",
"Max price: 249.8\n",
"Min price: 238.0\n",
"2017-10-13, Cash 40.21839999999391 Value 113907.2184\n",
"2017-10-13, Close, 247.00\n",
"Max price: 249.8\n",
"Min price: 238.0\n",
"2017-10-17, Cash 40.21839999999391 Value 112985.2184\n",
"2017-10-17, Close, 245.00\n",
"Max price: 249.8\n",
"Min price: 238.0\n",
"2017-10-18, Cash 40.21839999999391 Value 113446.2184\n",
"2017-10-18, Close, 246.00\n",
"Max price: 249.8\n",
"Min price: 241.0\n",
"2017-10-19, Cash 40.21839999999391 Value 113907.2184\n",
"2017-10-19, Close, 247.00\n",
"Max price: 249.8\n",
"Min price: 241.0\n",
"2017-10-20, Cash 40.21839999999391 Value 113446.2184\n",
"2017-10-20, Close, 246.00\n",
"Max price: 249.8\n",
"Min price: 241.8\n",
"2017-10-23, Cash 40.21839999999391 Value 114829.2184\n",
"2017-10-23, Close, 249.00\n",
"Max price: 249.8\n",
"Min price: 241.8\n",
"2017-10-24, Cash 40.21839999999391 Value 114368.2184\n",
"2017-10-24, Close, 248.00\n",
"Max price: 249.8\n",
"Min price: 241.8\n",
"2017-10-25, Cash 40.21839999999391 Value 115290.2184\n",
"2017-10-25, Close, 250.00\n",
"Max price: 250.0\n",
"Min price: 241.8\n",
"2017-10-26, Cash 40.21839999999391 Value 115290.2184\n",
"2017-10-26, Close, 250.00\n",
"Max price: 250.0\n",
"Min price: 241.8\n",
"2017-10-27, Cash 40.21839999999391 Value 115198.0184\n",
"2017-10-27, Close, 249.80\n",
"Max price: 250.0\n",
"Min price: 241.8\n",
"2017-10-30, Cash 40.21839999999391 Value 114829.2184\n",
"2017-10-30, Close, 249.00\n",
"Max price: 250.0\n",
"Min price: 241.8\n",
"2017-11-02, Cash 40.21839999999391 Value 115935.6184\n",
"2017-11-02, Close, 251.40\n",
"Max price: 251.4\n",
"Min price: 241.8\n",
"2017-11-03, Cash 40.21839999999391 Value 114460.4184\n",
"2017-11-03, Close, 248.20\n",
"Max price: 251.4\n",
"Min price: 241.8\n",
"2017-11-06, Cash 40.21839999999391 Value 115751.2184\n",
"2017-11-06, Close, 251.00\n",
"Max price: 251.4\n",
"Min price: 241.8\n",
"2017-11-07, Cash 40.21839999999391 Value 116857.6184\n",
"2017-11-07, Close, 253.40\n",
"Max price: 253.4\n",
"Min price: 241.8\n",
"2017-11-08, Cash 40.21839999999391 Value 116212.2184\n",
"2017-11-08, Close, 252.00\n",
"Max price: 253.4\n",
"Min price: 241.8\n",
"2017-11-09, Cash 40.21839999999391 Value 116673.2184\n",
"2017-11-09, Close, 253.00\n",
"Max price: 253.4\n",
"Min price: 241.8\n",
"2017-11-10, Cash 40.21839999999391 Value 115843.4184\n",
"2017-11-10, Close, 251.20\n",
"Max price: 253.4\n",
"Min price: 241.8\n",
"2017-11-13, Cash 40.21839999999391 Value 118517.2184\n",
"2017-11-13, Close, 257.00\n",
"Max price: 257.0\n",
"Min price: 241.8\n",
"2017-11-14, Cash 40.21839999999391 Value 119715.8184\n",
"2017-11-14, Close, 259.60\n",
"Max price: 259.6\n",
"Min price: 241.8\n",
"2017-11-15, Cash 40.21839999999391 Value 117964.0184\n",
"2017-11-15, Close, 255.80\n",
"Max price: 259.6\n",
"Min price: 241.8\n",
"2017-11-16, Cash 40.21839999999391 Value 119347.0184\n",
"2017-11-16, Close, 258.80\n",
"Max price: 259.6\n",
"Min price: 241.8\n",
"2017-11-17, Cash 40.21839999999391 Value 119808.0184\n",
"2017-11-17, Close, 259.80\n",
"Max price: 259.8\n",
"Min price: 241.8\n",
"2017-11-20, Cash 40.21839999999391 Value 118517.2184\n",
"2017-11-20, Close, 257.00\n",
"Max price: 259.8\n",
"Min price: 241.8\n",
"2017-11-21, Cash 40.21839999999391 Value 117134.2184\n",
"2017-11-21, Close, 254.00\n",
"Max price: 259.8\n",
"Min price: 242.2\n",
"2017-11-22, Cash 40.21839999999391 Value 117595.2184\n",
"2017-11-22, Close, 255.00\n",
"Max price: 259.8\n",
"Min price: 244.0\n",
"2017-11-23, Cash 40.21839999999391 Value 117134.2184\n",
"2017-11-23, Close, 254.00\n",
"Max price: 259.8\n",
"Min price: 244.0\n",
"2017-11-24, Cash 40.21839999999391 Value 119162.61839999999\n",
"2017-11-24, Close, 258.40\n",
"Max price: 259.8\n",
"Min price: 244.0\n",
"2017-11-27, Cash 40.21839999999391 Value 117134.2184\n",
"2017-11-27, Close, 254.00\n",
"Max price: 259.8\n",
"Min price: 244.6\n",
"2017-11-28, Cash 40.21839999999391 Value 116212.2184\n",
"2017-11-28, Close, 252.00\n",
"Max price: 259.8\n",
"Min price: 245.0\n",
"2017-11-29, Cash 40.21839999999391 Value 112339.8184\n",
"2017-11-29, Close, 243.60\n",
"Max price: 259.8\n",
"Min price: 243.6\n",
"2017-11-29, SELL CREATE, 243.60\n",
"2017-12-01, SELL EXECUTED, Price: 244.00, Cost: 4310.79, Comm 29.28\n",
"2017-12-01, Cash 4890.9383999999945 Value 113112.33840000001\n",
"2017-12-01, Close, 245.40\n",
"Max price: 259.8\n",
"Min price: 243.6\n",
"2017-12-04, Cash 4890.9383999999945 Value 111348.33840000001\n",
"2017-12-04, Close, 241.40\n",
"Max price: 259.8\n",
"Min price: 241.4\n",
"2017-12-04, SELL CREATE, 241.40\n",
"2017-12-05, SELL EXECUTED, Price: 241.40, Cost: 4310.79, Comm 28.97\n",
"2017-12-05, Cash 9689.970399999995 Value 112329.7704\n",
"2017-12-05, Close, 243.80\n",
"Max price: 259.8\n",
"Min price: 241.4\n",
"2017-12-06, Cash 9689.970399999995 Value 111992.97039999999\n",
"2017-12-06, Close, 243.00\n",
"Max price: 259.8\n",
"Min price: 241.4\n",
"2017-12-07, Cash 9689.970399999995 Value 113592.7704\n",
"2017-12-07, Close, 246.80\n",
"Max price: 259.8\n",
"Min price: 241.4\n",
"2017-12-08, Cash 9689.970399999995 Value 114434.7704\n",
"2017-12-08, Close, 248.80\n",
"Max price: 259.8\n",
"Min price: 241.4\n",
"2017-12-11, Cash 9689.970399999995 Value 114518.97039999999\n",
"2017-12-11, Close, 249.00\n",
"Max price: 259.8\n",
"Min price: 241.4\n",
"2017-12-12, Cash 9689.970399999995 Value 114687.37040000001\n",
"2017-12-12, Close, 249.40\n",
"Max price: 259.8\n",
"Min price: 241.4\n",
"2017-12-13, Cash 9689.970399999995 Value 113676.97039999999\n",
"2017-12-13, Close, 247.00\n",
"Max price: 259.8\n",
"Min price: 241.4\n",
"2017-12-14, Cash 9689.970399999995 Value 112413.97039999999\n",
"2017-12-14, Close, 244.00\n",
"Max price: 259.8\n",
"Min price: 241.4\n",
"2017-12-15, Cash 9689.970399999995 Value 113255.97039999999\n",
"2017-12-15, Close, 246.00\n",
"Max price: 259.8\n",
"Min price: 241.4\n",
"2017-12-18, Cash 9689.970399999995 Value 114687.37040000001\n",
"2017-12-18, Close, 249.40\n",
"Max price: 259.8\n",
"Min price: 241.4\n",
"2017-12-19, Cash 9689.970399999995 Value 112666.57039999998\n",
"2017-12-19, Close, 244.60\n",
"Max price: 259.8\n",
"Min price: 241.4\n",
"2017-12-20, Cash 9689.970399999995 Value 112329.7704\n",
"2017-12-20, Close, 243.80\n",
"Max price: 259.8\n",
"Min price: 241.4\n",
"2017-12-21, Cash 9689.970399999995 Value 114013.7704\n",
"2017-12-21, Close, 247.80\n",
"Max price: 259.8\n",
"Min price: 241.4\n",
"2017-12-22, Cash 9689.970399999995 Value 113676.97039999999\n",
"2017-12-22, Close, 247.00\n",
"Max price: 259.8\n",
"Min price: 241.4\n",
"2017-12-27, Cash 9689.970399999995 Value 114434.7704\n",
"2017-12-27, Close, 248.80\n",
"Max price: 259.8\n",
"Min price: 241.4\n",
"2017-12-28, Cash 9689.970399999995 Value 116623.97039999999\n",
"2017-12-28, Close, 254.00\n",
"Max price: 259.8\n",
"Min price: 241.4\n",
"2017-12-29, Cash 9689.970399999995 Value 116202.97039999999\n",
"2017-12-29, Close, 253.00\n",
"Max price: 259.8\n",
"Min price: 241.4\n",
"2018-01-03, Cash 9689.970399999995 Value 117213.37040000001\n",
"2018-01-03, Close, 255.40\n",
"Max price: 259.8\n",
"Min price: 241.4\n",
"2018-01-04, Cash 9689.970399999995 Value 117044.97039999999\n",
"2018-01-04, Close, 255.00\n",
"Max price: 259.8\n",
"Min price: 241.4\n",
"2018-01-05, Cash 9689.970399999995 Value 117044.97039999999\n",
"2018-01-05, Close, 255.00\n",
"Max price: 258.4\n",
"Min price: 241.4\n",
"2018-01-08, Cash 9689.970399999995 Value 117465.97039999999\n",
"2018-01-08, Close, 256.00\n",
"Max price: 258.4\n",
"Min price: 241.4\n",
"2018-01-09, Cash 9689.970399999995 Value 117381.7704\n",
"2018-01-09, Close, 255.80\n",
"Max price: 258.4\n",
"Min price: 241.4\n",
"2018-01-10, Cash 9689.970399999995 Value 117213.37040000001\n",
"2018-01-10, Close, 255.40\n",
"Max price: 258.4\n",
"Min price: 241.4\n",
"2018-01-11, Cash 9689.970399999995 Value 117044.97039999999\n",
"2018-01-11, Close, 255.00\n",
"Max price: 258.4\n",
"Min price: 241.4\n",
"2018-01-12, Cash 9689.970399999995 Value 117044.97039999999\n",
"2018-01-12, Close, 255.00\n",
"Max price: 256.0\n",
"Min price: 241.4\n",
"2018-01-15, Cash 9689.970399999995 Value 120749.7704\n",
"2018-01-15, Close, 263.80\n",
"Max price: 263.8\n",
"Min price: 241.4\n",
"2018-01-15, BUY CREATE, 263.80\n",
"2018-01-16, BUY EXECUTED, Price: 263.80, Cost: 9496.80, Comm 56.98\n",
"2018-01-16, Cash 136.18959999999362 Value 126999.38960000001\n",
"2018-01-16, Close, 277.60\n",
"Max price: 277.6\n",
"Min price: 241.4\n",
"2018-01-17, Cash 136.18959999999362 Value 126999.38960000001\n",
"2018-01-17, Close, 277.60\n",
"Max price: 277.6\n",
"Min price: 241.4\n",
"2018-01-18, Cash 136.18959999999362 Value 127639.1896\n",
"2018-01-18, Close, 279.00\n",
"Max price: 279.0\n",
"Min price: 241.4\n",
"2018-01-19, Cash 136.18959999999362 Value 128096.1896\n",
"2018-01-19, Close, 280.00\n",
"Max price: 280.0\n",
"Min price: 243.0\n",
"2018-01-22, Cash 136.18959999999362 Value 129467.1896\n",
"2018-01-22, Close, 283.00\n",
"Max price: 283.0\n",
"Min price: 243.0\n",
"2018-01-23, Cash 136.18959999999362 Value 129101.58959999999\n",
"2018-01-23, Close, 282.20\n",
"Max price: 283.0\n",
"Min price: 243.8\n",
"2018-01-24, Cash 136.18959999999362 Value 129010.1896\n",
"2018-01-24, Close, 282.00\n",
"Max price: 283.0\n",
"Min price: 243.8\n",
"2018-01-25, Cash 136.18959999999362 Value 134037.18959999998\n",
"2018-01-25, Close, 293.00\n",
"Max price: 293.0\n",
"Min price: 243.8\n",
"2018-01-26, Cash 136.18959999999362 Value 133671.58959999998\n",
"2018-01-26, Close, 292.20\n",
"Max price: 293.0\n",
"Min price: 243.8\n",
"2018-01-29, Cash 136.18959999999362 Value 130563.98959999999\n",
"2018-01-29, Close, 285.40\n",
"Max price: 293.0\n",
"Min price: 243.8\n",
"2018-01-30, Cash 136.18959999999362 Value 130015.58959999999\n",
"2018-01-30, Close, 284.20\n",
"Max price: 293.0\n",
"Min price: 243.8\n",
"2018-01-31, Cash 136.18959999999362 Value 130289.7896\n",
"2018-01-31, Close, 284.80\n",
"Max price: 293.0\n",
"Min price: 243.8\n",
"2018-02-01, Cash 136.18959999999362 Value 131386.58959999998\n",
"2018-02-01, Close, 287.20\n",
"Max price: 293.0\n",
"Min price: 243.8\n",
"2018-02-02, Cash 136.18959999999362 Value 134494.18959999998\n",
"2018-02-02, Close, 294.00\n",
"Max price: 294.0\n",
"Min price: 243.8\n",
"2018-02-05, Cash 136.18959999999362 Value 129010.1896\n",
"2018-02-05, Close, 282.00\n",
"Max price: 294.0\n",
"Min price: 243.8\n",
"2018-02-06, Cash 136.18959999999362 Value 132209.18959999998\n",
"2018-02-06, Close, 289.00\n",
"Max price: 294.0\n",
"Min price: 247.0\n",
"2018-02-07, Cash 136.18959999999362 Value 134128.58959999998\n",
"2018-02-07, Close, 293.20\n",
"Max price: 294.0\n",
"Min price: 247.0\n",
"2018-02-08, Cash 136.18959999999362 Value 133945.7896\n",
"2018-02-08, Close, 292.80\n",
"Max price: 294.0\n",
"Min price: 248.8\n",
"2018-02-09, Cash 136.18959999999362 Value 133580.18959999998\n",
"2018-02-09, Close, 292.00\n",
"Max price: 294.0\n",
"Min price: 253.0\n",
"2018-02-12, Cash 136.18959999999362 Value 129467.1896\n",
"2018-02-12, Close, 283.00\n",
"Max price: 294.0\n",
"Min price: 253.0\n",
"2018-02-13, Cash 136.18959999999362 Value 126725.1896\n",
"2018-02-13, Close, 277.00\n",
"Max price: 294.0\n",
"Min price: 255.0\n",
"2018-02-14, Cash 136.18959999999362 Value 127182.1896\n",
"2018-02-14, Close, 278.00\n",
"Max price: 294.0\n",
"Min price: 255.0\n",
"2018-02-15, Cash 136.18959999999362 Value 130381.1896\n",
"2018-02-15, Close, 285.00\n",
"Max price: 294.0\n",
"Min price: 255.0\n",
"2018-02-19, Cash 136.18959999999362 Value 130381.1896\n",
"2018-02-19, Close, 285.00\n",
"Max price: 294.0\n",
"Min price: 255.0\n",
"2018-02-20, Cash 136.18959999999362 Value 130838.1896\n",
"2018-02-20, Close, 286.00\n",
"Max price: 294.0\n",
"Min price: 255.0\n",
"2018-02-21, Cash 136.18959999999362 Value 129010.1896\n",
"2018-02-21, Close, 282.00\n",
"Max price: 294.0\n",
"Min price: 255.0\n",
"2018-02-22, Cash 136.18959999999362 Value 129010.1896\n",
"2018-02-22, Close, 282.00\n",
"Max price: 294.0\n",
"Min price: 255.0\n",
"2018-02-23, Cash 136.18959999999362 Value 129010.1896\n",
"2018-02-23, Close, 282.00\n",
"Max price: 294.0\n",
"Min price: 255.0\n",
"2018-02-26, Cash 136.18959999999362 Value 133580.18959999998\n",
"2018-02-26, Close, 292.00\n",
"Max price: 294.0\n",
"Min price: 263.8\n",
"2018-02-27, Cash 136.18959999999362 Value 134951.18959999998\n",
"2018-02-27, Close, 295.00\n",
"Max price: 295.0\n",
"Min price: 277.0\n",
"2018-02-28, Cash 136.18959999999362 Value 136504.98959999997\n",
"2018-02-28, Close, 298.40\n",
"Max price: 298.4\n",
"Min price: 277.0\n",
"2018-03-01, Cash 136.18959999999362 Value 136139.3896\n",
"2018-03-01, Close, 297.60\n",
"Max price: 298.4\n",
"Min price: 277.0\n",
"2018-03-02, Cash 136.18959999999362 Value 136322.18959999998\n",
"2018-03-02, Close, 298.00\n",
"Max price: 298.4\n",
"Min price: 277.0\n",
"2018-03-05, Cash 136.18959999999362 Value 137053.3896\n",
"2018-03-05, Close, 299.60\n",
"Max price: 299.6\n",
"Min price: 277.0\n",
"2018-03-06, Cash 136.18959999999362 Value 136596.3896\n",
"2018-03-06, Close, 298.60\n",
"Max price: 299.6\n",
"Min price: 277.0\n",
"2018-03-07, Cash 136.18959999999362 Value 139064.18959999998\n",
"2018-03-07, Close, 304.00\n",
"Max price: 304.0\n",
"Min price: 277.0\n",
"2018-03-08, Cash 136.18959999999362 Value 134951.18959999998\n",
"2018-03-08, Close, 295.00\n",
"Max price: 304.0\n",
"Min price: 277.0\n",
"2018-03-09, Cash 136.18959999999362 Value 133580.18959999998\n",
"2018-03-09, Close, 292.00\n",
"Max price: 304.0\n",
"Min price: 277.0\n",
"2018-03-12, Cash 136.18959999999362 Value 135133.98959999997\n",
"2018-03-12, Close, 295.40\n",
"Max price: 304.0\n",
"Min price: 277.0\n",
"2018-03-13, Cash 136.18959999999362 Value 134037.18959999998\n",
"2018-03-13, Close, 293.00\n",
"Max price: 304.0\n",
"Min price: 277.0\n",
"2018-03-14, Cash 136.18959999999362 Value 131934.98959999997\n",
"2018-03-14, Close, 288.40\n",
"Max price: 304.0\n",
"Min price: 277.0\n",
"2018-03-15, Cash 136.18959999999362 Value 129924.1896\n",
"2018-03-15, Close, 284.00\n",
"Max price: 304.0\n",
"Min price: 277.0\n",
"2018-03-16, Cash 136.18959999999362 Value 139703.98959999997\n",
"2018-03-16, Close, 305.40\n",
"Max price: 305.4\n",
"Min price: 277.0\n",
"2018-03-19, Cash 136.18959999999362 Value 136322.18959999998\n",
"2018-03-19, Close, 298.00\n",
"Max price: 305.4\n",
"Min price: 277.0\n",
"2018-03-20, Cash 136.18959999999362 Value 130838.1896\n",
"2018-03-20, Close, 286.00\n",
"Max price: 305.4\n",
"Min price: 277.0\n",
"2018-03-21, Cash 136.18959999999362 Value 130381.1896\n",
"2018-03-21, Close, 285.00\n",
"Max price: 305.4\n",
"Min price: 277.0\n",
"2018-03-22, Cash 136.18959999999362 Value 131203.7896\n",
"2018-03-22, Close, 286.80\n",
"Max price: 305.4\n",
"Min price: 277.0\n",
"2018-03-23, Cash 136.18959999999362 Value 131752.18959999998\n",
"2018-03-23, Close, 288.00\n",
"Max price: 305.4\n",
"Min price: 277.0\n",
"2018-03-26, Cash 136.18959999999362 Value 134951.18959999998\n",
"2018-03-26, Close, 295.00\n",
"Max price: 305.4\n",
"Min price: 277.0\n",
"2018-03-27, Cash 136.18959999999362 Value 134676.98959999997\n",
"2018-03-27, Close, 294.40\n",
"Max price: 305.4\n",
"Min price: 277.0\n",
"2018-03-28, Cash 136.18959999999362 Value 136779.18959999998\n",
"2018-03-28, Close, 299.00\n",
"Max price: 305.4\n",
"Min price: 278.0\n",
"2018-04-02, Cash 136.18959999999362 Value 137236.18959999998\n",
"2018-04-02, Close, 300.00\n",
"Max price: 305.4\n",
"Min price: 282.0\n",
"2018-04-03, Cash 136.18959999999362 Value 135590.98959999997\n",
"2018-04-03, Close, 296.40\n",
"Max price: 305.4\n",
"Min price: 282.0\n",
"2018-04-04, Cash 136.18959999999362 Value 130381.1896\n",
"2018-04-04, Close, 285.00\n",
"Max price: 305.4\n",
"Min price: 282.0\n",
"2018-04-05, Cash 136.18959999999362 Value 128096.1896\n",
"2018-04-05, Close, 280.00\n",
"Max price: 305.4\n",
"Min price: 280.0\n",
"2018-04-05, SELL CREATE, 280.00\n",
"2018-04-06, SELL EXECUTED, Price: 281.00, Cost: 3728.80, Comm 28.66\n",
"2018-04-06, Cash 4884.527599999993 Value 127204.52759999999\n",
"2018-04-06, Close, 278.00\n",
"Max price: 305.4\n",
"Min price: 278.0\n",
"2018-04-06, SELL CREATE, 278.00\n",
"2018-04-10, SELL EXECUTED, Price: 278.00, Cost: 3728.80, Comm 28.36\n",
"2018-04-10, Cash 9582.171599999994 Value 129714.1716\n",
"2018-04-10, Close, 284.00\n",
"Max price: 305.4\n",
"Min price: 278.0\n",
"2018-04-11, Cash 9582.171599999994 Value 132082.9716\n",
"2018-04-11, Close, 289.60\n",
"Max price: 305.4\n",
"Min price: 278.0\n",
"2018-04-12, Cash 9582.171599999994 Value 136482.1716\n",
"2018-04-12, Close, 300.00\n",
"Max price: 305.4\n",
"Min price: 278.0\n",
"2018-04-13, Cash 9582.171599999994 Value 133182.7716\n",
"2018-04-13, Close, 292.20\n",
"Max price: 305.4\n",
"Min price: 278.0\n",
"2018-04-16, Cash 9582.171599999994 Value 132928.9716\n",
"2018-04-16, Close, 291.60\n",
"Max price: 305.4\n",
"Min price: 278.0\n",
"2018-04-17, Cash 9582.171599999994 Value 131659.9716\n",
"2018-04-17, Close, 288.60\n",
"Max price: 305.4\n",
"Min price: 278.0\n",
"2018-04-18, Cash 9582.171599999994 Value 134028.7716\n",
"2018-04-18, Close, 294.20\n",
"Max price: 305.4\n",
"Min price: 278.0\n",
"2018-04-19, Cash 9582.171599999994 Value 130137.1716\n",
"2018-04-19, Close, 285.00\n",
"Max price: 305.4\n",
"Min price: 278.0\n",
"2018-04-20, Cash 9582.171599999994 Value 132675.1716\n",
"2018-04-20, Close, 291.00\n",
"Max price: 305.4\n",
"Min price: 278.0\n",
"2018-04-23, Cash 9582.171599999994 Value 133944.1716\n",
"2018-04-23, Close, 294.00\n",
"Max price: 305.4\n",
"Min price: 278.0\n",
"2018-04-24, Cash 9582.171599999994 Value 130137.1716\n",
"2018-04-24, Close, 285.00\n",
"Max price: 305.4\n",
"Min price: 278.0\n",
"2018-04-25, Cash 9582.171599999994 Value 128698.97159999999\n",
"2018-04-25, Close, 281.60\n",
"Max price: 305.4\n",
"Min price: 278.0\n",
"2018-04-26, Cash 9582.171599999994 Value 128022.1716\n",
"2018-04-26, Close, 280.00\n",
"Max price: 305.4\n",
"Min price: 278.0\n",
"2018-04-27, Cash 9582.171599999994 Value 128868.1716\n",
"2018-04-27, Close, 282.00\n",
"Max price: 305.4\n",
"Min price: 278.0\n",
"2018-04-30, Cash 9582.171599999994 Value 130137.1716\n",
"2018-04-30, Close, 285.00\n",
"Max price: 305.4\n",
"Min price: 278.0\n",
"2018-05-02, Cash 9582.171599999994 Value 129291.1716\n",
"2018-05-02, Close, 283.00\n",
"Max price: 305.4\n",
"Min price: 278.0\n",
"2018-05-03, Cash 9582.171599999994 Value 125907.1716\n",
"2018-05-03, Close, 275.00\n",
"Max price: 300.0\n",
"Min price: 275.0\n",
"2018-05-03, SELL CREATE, 275.00\n",
"2018-05-04, SELL EXECUTED, Price: 276.00, Cost: 3948.14, Comm 29.81\n",
"2018-05-04, Cash 14520.363599999993 Value 126057.36359999998\n",
"2018-05-04, Close, 275.40\n",
"Max price: 300.0\n",
"Min price: 275.0\n",
"2018-05-07, Cash 14520.363599999993 Value 127515.3636\n",
"2018-05-07, Close, 279.00\n",
"Max price: 300.0\n",
"Min price: 275.0\n",
"2018-05-08, Cash 14520.363599999993 Value 127110.3636\n",
"2018-05-08, Close, 278.00\n",
"Max price: 300.0\n",
"Min price: 275.0\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"2018-05-09, Cash 14520.363599999993 Value 129135.3636\n",
"2018-05-09, Close, 283.00\n",
"Max price: 300.0\n",
"Min price: 275.0\n",
"2018-05-10, Cash 14520.363599999993 Value 127839.3636\n",
"2018-05-10, Close, 279.80\n",
"Max price: 300.0\n",
"Min price: 275.0\n",
"2018-05-11, Cash 14520.363599999993 Value 129945.3636\n",
"2018-05-11, Close, 285.00\n",
"Max price: 300.0\n",
"Min price: 275.0\n",
"2018-05-15, Cash 14520.363599999993 Value 129135.3636\n",
"2018-05-15, Close, 283.00\n",
"Max price: 300.0\n",
"Min price: 275.0\n",
"2018-05-16, Cash 14520.363599999993 Value 130593.36360000001\n",
"2018-05-16, Close, 286.60\n",
"Max price: 300.0\n",
"Min price: 275.0\n",
"2018-05-17, Cash 14520.363599999993 Value 129945.3636\n",
"2018-05-17, Close, 285.00\n",
"Max price: 300.0\n",
"Min price: 275.0\n",
"2018-05-18, Cash 14520.363599999993 Value 129945.3636\n",
"2018-05-18, Close, 285.00\n",
"Max price: 300.0\n",
"Min price: 275.0\n",
"2018-05-21, Cash 14520.363599999993 Value 127920.3636\n",
"2018-05-21, Close, 280.00\n",
"Max price: 300.0\n",
"Min price: 275.0\n",
"2018-05-22, Cash 14520.363599999993 Value 129540.3636\n",
"2018-05-22, Close, 284.00\n",
"Max price: 300.0\n",
"Min price: 275.0\n",
"2018-05-23, Cash 14520.363599999993 Value 130755.3636\n",
"2018-05-23, Close, 287.00\n",
"Max price: 300.0\n",
"Min price: 275.0\n",
"2018-05-24, Cash 14520.363599999993 Value 129945.3636\n",
"2018-05-24, Close, 285.00\n",
"Max price: 300.0\n",
"Min price: 275.0\n",
"2018-05-25, Cash 14520.363599999993 Value 128406.3636\n",
"2018-05-25, Close, 281.20\n",
"Max price: 300.0\n",
"Min price: 275.0\n",
"2018-05-28, Cash 14520.363599999993 Value 128082.36359999998\n",
"2018-05-28, Close, 280.40\n",
"Max price: 294.2\n",
"Min price: 275.0\n",
"2018-05-29, Cash 14520.363599999993 Value 129135.3636\n",
"2018-05-29, Close, 283.00\n",
"Max price: 294.2\n",
"Min price: 275.0\n",
"2018-05-30, Cash 14520.363599999993 Value 127920.3636\n",
"2018-05-30, Close, 280.00\n",
"Max price: 294.2\n",
"Min price: 275.0\n",
"2018-05-31, Cash 14520.363599999993 Value 125490.3636\n",
"2018-05-31, Close, 274.00\n",
"Max price: 294.2\n",
"Min price: 274.0\n",
"2018-05-31, SELL CREATE, 274.00\n",
"2018-06-01, SELL EXECUTED, Price: 280.00, Cost: 3948.14, Comm 30.24\n",
"2018-06-01, Cash 19530.12359999999 Value 129360.7236\n",
"2018-06-01, Close, 283.80\n",
"Max price: 294.0\n",
"Min price: 274.0\n",
"2018-06-04, Cash 19530.12359999999 Value 128044.92359999998\n",
"2018-06-04, Close, 280.40\n",
"Max price: 294.0\n",
"Min price: 274.0\n",
"2018-06-05, Cash 19530.12359999999 Value 127967.52359999999\n",
"2018-06-05, Close, 280.20\n",
"Max price: 294.0\n",
"Min price: 274.0\n",
"2018-06-06, Cash 19530.12359999999 Value 128199.7236\n",
"2018-06-06, Close, 280.80\n",
"Max price: 287.0\n",
"Min price: 274.0\n",
"2018-06-07, Cash 19530.12359999999 Value 128896.3236\n",
"2018-06-07, Close, 282.60\n",
"Max price: 287.0\n",
"Min price: 274.0\n",
"2018-06-08, Cash 19530.12359999999 Value 129438.12359999999\n",
"2018-06-08, Close, 284.00\n",
"Max price: 287.0\n",
"Min price: 274.0\n",
"2018-06-11, Cash 19530.12359999999 Value 129825.12359999999\n",
"2018-06-11, Close, 285.00\n",
"Max price: 287.0\n",
"Min price: 274.0\n",
"2018-06-13, Cash 19530.12359999999 Value 127503.12359999999\n",
"2018-06-13, Close, 279.00\n",
"Max price: 287.0\n",
"Min price: 274.0\n",
"2018-06-14, Cash 19530.12359999999 Value 127580.52359999999\n",
"2018-06-14, Close, 279.20\n",
"Max price: 287.0\n",
"Min price: 274.0\n",
"2018-06-18, Cash 19530.12359999999 Value 126806.52359999999\n",
"2018-06-18, Close, 277.20\n",
"Max price: 287.0\n",
"Min price: 274.0\n",
"2018-06-19, Cash 19530.12359999999 Value 129438.12359999999\n",
"2018-06-19, Close, 284.00\n",
"Max price: 287.0\n",
"Min price: 274.0\n",
"2018-06-20, Cash 19530.12359999999 Value 127503.12359999999\n",
"2018-06-20, Close, 279.00\n",
"Max price: 287.0\n",
"Min price: 274.0\n",
"2018-06-21, Cash 19530.12359999999 Value 124020.12359999999\n",
"2018-06-21, Close, 270.00\n",
"Max price: 287.0\n",
"Min price: 270.0\n",
"2018-06-21, SELL CREATE, 270.00\n",
"2018-06-22, SELL EXECUTED, Price: 270.00, Cost: 3948.14, Comm 29.16\n",
"2018-06-22, Cash 24360.963599999992 Value 122883.96359999999\n",
"2018-06-22, Close, 267.00\n",
"Max price: 287.0\n",
"Min price: 267.0\n",
"2018-06-22, SELL CREATE, 267.00\n",
"2018-06-25, SELL EXECUTED, Price: 275.00, Cost: 3948.14, Comm 29.70\n",
"2018-06-25, Cash 29281.26359999999 Value 123489.66359999999\n",
"2018-06-25, Close, 268.40\n",
"Max price: 287.0\n",
"Min price: 267.0\n",
"2018-06-26, Cash 29281.26359999999 Value 124261.8636\n",
"2018-06-26, Close, 270.60\n",
"Max price: 287.0\n",
"Min price: 267.0\n",
"2018-06-27, Cash 29281.26359999999 Value 124402.26359999999\n",
"2018-06-27, Close, 271.00\n",
"Max price: 287.0\n",
"Min price: 267.0\n",
"2018-06-28, Cash 29281.26359999999 Value 120400.8636\n",
"2018-06-28, Close, 259.60\n",
"Max price: 287.0\n",
"Min price: 259.6\n",
"2018-06-28, SELL CREATE, 259.60\n",
"2018-06-29, SELL EXECUTED, Price: 259.80, Cost: 4167.48, Comm 29.62\n",
"2018-06-29, Cash 34187.84639999999 Value 121503.84639999998\n",
"2018-06-29, Close, 263.00\n",
"Max price: 287.0\n",
"Min price: 259.6\n",
"2018-07-02, Cash 34187.84639999999 Value 120507.84639999998\n",
"2018-07-02, Close, 260.00\n",
"Max price: 287.0\n",
"Min price: 259.6\n",
"2018-07-03, Cash 34187.84639999999 Value 120507.84639999998\n",
"2018-07-03, Close, 260.00\n",
"Max price: 287.0\n",
"Min price: 259.6\n",
"2018-07-04, Cash 34187.84639999999 Value 120441.44639999999\n",
"2018-07-04, Close, 259.80\n",
"Max price: 287.0\n",
"Min price: 259.6\n",
"2018-07-05, Cash 34187.84639999999 Value 118515.84639999998\n",
"2018-07-05, Close, 254.00\n",
"Max price: 287.0\n",
"Min price: 254.0\n",
"2018-07-05, SELL CREATE, 254.00\n",
"2018-07-06, SELL EXECUTED, Price: 254.00, Cost: 4167.48, Comm 28.96\n",
"2018-07-06, Cash 38984.89039999999 Value 117547.89039999999\n",
"2018-07-06, Close, 251.00\n",
"Max price: 285.0\n",
"Min price: 251.0\n",
"2018-07-06, SELL CREATE, 251.00\n",
"2018-07-09, SELL EXECUTED, Price: 251.80, Cost: 4167.48, Comm 28.71\n",
"2018-07-09, Cash 43740.38519999999 Value 115770.38519999999\n",
"2018-07-09, Close, 245.00\n",
"Max price: 285.0\n",
"Min price: 245.0\n",
"2018-07-09, SELL CREATE, 245.00\n",
"2018-07-10, SELL EXECUTED, Price: 245.20, Cost: 4386.82, Comm 29.42\n",
"2018-07-10, Cash 48614.96119999999 Value 116018.96119999999\n",
"2018-07-10, Close, 246.00\n",
"Max price: 285.0\n",
"Min price: 245.0\n",
"2018-07-11, Cash 48614.96119999999 Value 116347.7612\n",
"2018-07-11, Close, 247.20\n",
"Max price: 285.0\n",
"Min price: 245.0\n",
"2018-07-12, Cash 48614.96119999999 Value 117060.16119999999\n",
"2018-07-12, Close, 249.80\n",
"Max price: 285.0\n",
"Min price: 245.0\n",
"2018-07-13, Cash 48614.96119999999 Value 117608.16119999999\n",
"2018-07-13, Close, 251.80\n",
"Max price: 285.0\n",
"Min price: 245.0\n",
"2018-07-16, Cash 48614.96119999999 Value 116786.16119999999\n",
"2018-07-16, Close, 248.80\n",
"Max price: 285.0\n",
"Min price: 245.0\n",
"2018-07-17, Cash 48614.96119999999 Value 117827.36119999998\n",
"2018-07-17, Close, 252.60\n",
"Max price: 285.0\n",
"Min price: 245.0\n",
"2018-07-18, Cash 48614.96119999999 Value 118265.7612\n",
"2018-07-18, Close, 254.20\n",
"Max price: 285.0\n",
"Min price: 245.0\n",
"2018-07-19, Cash 48614.96119999999 Value 117936.96119999999\n",
"2018-07-19, Close, 253.00\n",
"Max price: 285.0\n",
"Min price: 245.0\n",
"2018-07-20, Cash 48614.96119999999 Value 117114.96119999999\n",
"2018-07-20, Close, 250.00\n",
"Max price: 285.0\n",
"Min price: 245.0\n",
"2018-07-23, Cash 48614.96119999999 Value 117114.96119999999\n",
"2018-07-23, Close, 250.00\n",
"Max price: 285.0\n",
"Min price: 245.0\n",
"2018-07-24, Cash 48614.96119999999 Value 117388.96119999999\n",
"2018-07-24, Close, 251.00\n",
"Max price: 285.0\n",
"Min price: 245.0\n",
"2018-07-25, Cash 48614.96119999999 Value 117443.7612\n",
"2018-07-25, Close, 251.20\n",
"Max price: 284.0\n",
"Min price: 245.0\n",
"2018-07-26, Cash 48614.96119999999 Value 118813.7612\n",
"2018-07-26, Close, 256.20\n",
"Max price: 284.0\n",
"Min price: 245.0\n",
"2018-07-27, Cash 48614.96119999999 Value 121498.96119999999\n",
"2018-07-27, Close, 266.00\n",
"Max price: 284.0\n",
"Min price: 245.0\n",
"2018-07-30, Cash 48614.96119999999 Value 121498.96119999999\n",
"2018-07-30, Close, 266.00\n",
"Max price: 284.0\n",
"Min price: 245.0\n",
"2018-07-31, Cash 48614.96119999999 Value 122594.96119999999\n",
"2018-07-31, Close, 270.00\n",
"Max price: 279.0\n",
"Min price: 245.0\n",
"2018-08-01, Cash 48614.96119999999 Value 125170.56119999998\n",
"2018-08-01, Close, 279.40\n",
"Max price: 279.4\n",
"Min price: 245.0\n",
"2018-08-01, BUY CREATE, 279.40\n",
"2018-08-02, BUY EXECUTED, Price: 279.00, Cost: 9765.00, Comm 58.59\n",
"2018-08-02, Cash 38791.371199999994 Value 124075.3712\n",
"2018-08-02, Close, 276.00\n",
"Max price: 279.4\n",
"Min price: 245.0\n",
"2018-08-03, Cash 38791.371199999994 Value 124384.3712\n",
"2018-08-03, Close, 277.00\n",
"Max price: 279.4\n",
"Min price: 245.0\n",
"2018-08-06, Cash 38791.371199999994 Value 125311.3712\n",
"2018-08-06, Close, 280.00\n",
"Max price: 280.0\n",
"Min price: 245.0\n",
"2018-08-06, BUY CREATE, 280.00\n",
"2018-08-07, BUY EXECUTED, Price: 279.80, Cost: 9793.00, Comm 58.76\n",
"2018-08-07, Cash 28939.613199999993 Value 121819.61319999999\n",
"2018-08-07, Close, 270.00\n",
"Max price: 280.0\n",
"Min price: 245.0\n",
"2018-08-08, Cash 28939.613199999993 Value 124158.81319999999\n",
"2018-08-08, Close, 276.80\n",
"Max price: 280.0\n",
"Min price: 245.0\n",
"2018-08-09, Cash 28939.613199999993 Value 121475.61319999999\n",
"2018-08-09, Close, 269.00\n",
"Max price: 280.0\n",
"Min price: 245.0\n",
"2018-08-10, Cash 28939.613199999993 Value 120787.61319999999\n",
"2018-08-10, Close, 267.00\n",
"Max price: 280.0\n",
"Min price: 245.0\n",
"2018-08-13, Cash 28939.613199999993 Value 121819.61319999999\n",
"2018-08-13, Close, 270.00\n",
"Max price: 280.0\n",
"Min price: 245.0\n",
"2018-08-14, Cash 28939.613199999993 Value 122989.21319999998\n",
"2018-08-14, Close, 273.40\n",
"Max price: 280.0\n",
"Min price: 245.0\n",
"2018-08-15, Cash 28939.613199999993 Value 123195.61319999999\n",
"2018-08-15, Close, 274.00\n",
"Max price: 280.0\n",
"Min price: 245.0\n",
"2018-08-16, Cash 28939.613199999993 Value 120718.81319999999\n",
"2018-08-16, Close, 266.80\n",
"Max price: 280.0\n",
"Min price: 245.0\n",
"2018-08-17, Cash 28939.613199999993 Value 122232.4132\n",
"2018-08-17, Close, 271.20\n",
"Max price: 280.0\n",
"Min price: 245.0\n",
"2018-08-20, Cash 28939.613199999993 Value 122851.61319999999\n",
"2018-08-20, Close, 273.00\n",
"Max price: 280.0\n",
"Min price: 246.0\n",
"2018-08-22, Cash 28939.613199999993 Value 127323.61319999999\n",
"2018-08-22, Close, 286.00\n",
"Max price: 286.0\n",
"Min price: 247.2\n",
"2018-08-22, BUY CREATE, 286.00\n",
"2018-08-23, BUY EXECUTED, Price: 287.00, Cost: 9758.00, Comm 58.55\n",
"2018-08-23, Cash 19123.065199999994 Value 129877.0652\n",
"2018-08-23, Close, 293.00\n",
"Max price: 293.0\n",
"Min price: 248.8\n",
"2018-08-23, BUY CREATE, 293.00\n",
"2018-08-24, BUY EXECUTED, Price: 293.00, Cost: 9962.00, Comm 59.77\n",
"2018-08-24, Cash 9101.293199999993 Value 127757.29319999999\n",
"2018-08-24, Close, 288.00\n",
"Max price: 293.0\n",
"Min price: 248.8\n",
"2018-08-28, Cash 9101.293199999993 Value 128663.69319999998\n",
"2018-08-28, Close, 290.20\n",
"Max price: 293.0\n",
"Min price: 248.8\n",
"2018-08-29, Cash 9101.293199999993 Value 127510.09319999997\n",
"2018-08-29, Close, 287.40\n",
"Max price: 293.0\n",
"Min price: 250.0\n",
"2018-08-30, Cash 9101.293199999993 Value 126933.29319999999\n",
"2018-08-30, Close, 286.00\n",
"Max price: 293.0\n",
"Min price: 250.0\n",
"2018-08-31, Cash 9101.293199999993 Value 127757.29319999999\n",
"2018-08-31, Close, 288.00\n",
"Max price: 293.0\n",
"Min price: 250.0\n",
"2018-09-03, Cash 9101.293199999993 Value 125285.29319999999\n",
"2018-09-03, Close, 282.00\n",
"Max price: 293.0\n",
"Min price: 250.0\n",
"2018-09-04, Cash 9101.293199999993 Value 127180.4932\n",
"2018-09-04, Close, 286.60\n",
"Max price: 293.0\n",
"Min price: 250.0\n",
"2018-09-05, Cash 9101.293199999993 Value 126521.29319999999\n",
"2018-09-05, Close, 285.00\n",
"Max price: 293.0\n",
"Min price: 251.0\n",
"2018-09-06, Cash 9101.293199999993 Value 122813.29319999999\n",
"2018-09-06, Close, 276.00\n",
"Max price: 293.0\n",
"Min price: 251.2\n",
"2018-09-07, Cash 9101.293199999993 Value 124873.29319999999\n",
"2018-09-07, Close, 281.00\n",
"Max price: 293.0\n",
"Min price: 256.2\n",
"2018-09-10, Cash 9101.293199999993 Value 123802.09319999997\n",
"2018-09-10, Close, 278.40\n",
"Max price: 293.0\n",
"Min price: 266.0\n",
"2018-09-11, Cash 9101.293199999993 Value 122813.29319999999\n",
"2018-09-11, Close, 276.00\n",
"Max price: 293.0\n",
"Min price: 266.0\n",
"2018-09-12, Cash 9101.293199999993 Value 119929.29319999999\n",
"2018-09-12, Close, 269.00\n",
"Max price: 293.0\n",
"Min price: 266.8\n",
"2018-09-13, Cash 9101.293199999993 Value 123225.29319999999\n",
"2018-09-13, Close, 277.00\n",
"Max price: 293.0\n",
"Min price: 266.8\n",
"2018-09-14, Cash 9101.293199999993 Value 119929.29319999999\n",
"2018-09-14, Close, 269.00\n",
"Max price: 293.0\n",
"Min price: 266.8\n",
"2018-09-17, Cash 9101.293199999993 Value 122401.29319999999\n",
"2018-09-17, Close, 275.00\n",
"Max price: 293.0\n",
"Min price: 266.8\n",
"2018-09-18, Cash 9101.293199999993 Value 121165.29319999999\n",
"2018-09-18, Close, 272.00\n",
"Max price: 293.0\n",
"Min price: 266.8\n",
"2018-09-19, Cash 9101.293199999993 Value 117869.29319999999\n",
"2018-09-19, Close, 264.00\n",
"Max price: 293.0\n",
"Min price: 264.0\n",
"2018-09-19, SELL CREATE, 264.00\n",
"2018-09-20, SELL EXECUTED, Price: 271.00, Cost: 4341.73, Comm 29.27\n",
"2018-09-20, Cash 13950.025199999993 Value 120724.02519999999\n",
"2018-09-20, Close, 271.00\n",
"Max price: 293.0\n",
"Min price: 264.0\n",
"2018-09-21, Cash 13950.025199999993 Value 121118.02519999999\n",
"2018-09-21, Close, 272.00\n",
"Max price: 293.0\n",
"Min price: 264.0\n",
"2018-09-24, Cash 13950.025199999993 Value 120724.02519999999\n",
"2018-09-24, Close, 271.00\n",
"Max price: 293.0\n",
"Min price: 264.0\n",
"2018-09-25, Cash 13950.025199999993 Value 119857.2252\n",
"2018-09-25, Close, 268.80\n",
"Max price: 293.0\n",
"Min price: 264.0\n",
"2018-09-26, Cash 13950.025199999993 Value 118832.82519999998\n",
"2018-09-26, Close, 266.20\n",
"Max price: 293.0\n",
"Min price: 264.0\n",
"2018-09-27, Cash 13950.025199999993 Value 115996.02519999999\n",
"2018-09-27, Close, 259.00\n",
"Max price: 293.0\n",
"Min price: 259.0\n",
"2018-09-27, SELL CREATE, 259.00\n",
"2018-09-28, SELL EXECUTED, Price: 262.00, Cost: 4582.94, Comm 29.87\n",
"2018-09-28, Cash 18898.157199999994 Value 115273.15719999999\n",
"2018-09-28, Close, 257.00\n",
"Max price: 293.0\n",
"Min price: 257.0\n",
"2018-09-28, SELL CREATE, 257.00\n",
"2018-10-01, SELL EXECUTED, Price: 257.20, Cost: 4582.94, Comm 29.32\n",
"2018-10-01, Cash 23755.636399999992 Value 113467.63639999999\n",
"2018-10-01, Close, 252.00\n",
"Max price: 293.0\n",
"Min price: 252.0\n",
"2018-10-01, SELL CREATE, 252.00\n",
"2018-10-02, SELL EXECUTED, Price: 252.20, Cost: 4582.94, Comm 28.75\n",
"2018-10-02, Cash 28518.68559999999 Value 112768.6856\n",
"2018-10-02, Close, 250.00\n",
"Max price: 293.0\n",
"Min price: 250.0\n",
"2018-10-02, SELL CREATE, 250.00\n",
"2018-10-03, SELL EXECUTED, Price: 251.00, Cost: 4824.15, Comm 30.12\n",
"2018-10-03, Cash 33508.56559999999 Value 113392.56559999999\n",
"2018-10-03, Close, 252.00\n",
"Max price: 293.0\n",
"Min price: 250.0\n",
"2018-10-04, Cash 33508.56559999999 Value 113392.56559999999\n",
"2018-10-04, Close, 252.00\n",
"Max price: 293.0\n",
"Min price: 250.0\n",
"2018-10-05, Cash 33508.56559999999 Value 111807.56559999999\n",
"2018-10-05, Close, 247.00\n",
"Max price: 290.2\n",
"Min price: 247.0\n",
"2018-10-05, SELL CREATE, 247.00\n",
"2018-10-08, SELL EXECUTED, Price: 247.00, Cost: 4824.15, Comm 29.64\n",
"2018-10-08, Cash 38418.92559999999 Value 110589.92559999999\n",
"2018-10-08, Close, 243.00\n",
"Max price: 290.2\n",
"Min price: 243.0\n",
"2018-10-08, SELL CREATE, 243.00\n",
"2018-10-09, SELL EXECUTED, Price: 243.20, Cost: 4824.15, Comm 29.18\n",
"2018-10-09, Cash 43253.74159999999 Value 113168.5416\n",
"2018-10-09, Close, 252.40\n",
"Max price: 288.0\n",
"Min price: 243.0\n",
"2018-10-10, Cash 43253.74159999999 Value 113611.74159999998\n",
"2018-10-10, Close, 254.00\n",
"Max price: 288.0\n",
"Min price: 243.0\n",
"2018-10-11, Cash 43253.74159999999 Value 113611.74159999998\n",
"2018-10-11, Close, 254.00\n",
"Max price: 288.0\n",
"Min price: 243.0\n",
"2018-10-12, Cash 43253.74159999999 Value 115827.74159999998\n",
"2018-10-12, Close, 262.00\n",
"Max price: 286.6\n",
"Min price: 243.0\n",
"2018-10-15, Cash 43253.74159999999 Value 112503.74159999998\n",
"2018-10-15, Close, 250.00\n",
"Max price: 286.6\n",
"Min price: 243.0\n",
"2018-10-16, Cash 43253.74159999999 Value 113667.14159999997\n",
"2018-10-16, Close, 254.20\n",
"Max price: 285.0\n",
"Min price: 243.0\n",
"2018-10-17, Cash 43253.74159999999 Value 114885.94159999999\n",
"2018-10-17, Close, 258.60\n",
"Max price: 281.0\n",
"Min price: 243.0\n",
"2018-10-18, Cash 43253.74159999999 Value 115273.74159999998\n",
"2018-10-18, Close, 260.00\n",
"Max price: 281.0\n",
"Min price: 243.0\n",
"2018-10-19, Cash 43253.74159999999 Value 116658.74159999998\n",
"2018-10-19, Close, 265.00\n",
"Max price: 278.4\n",
"Min price: 243.0\n",
"2018-10-22, Cash 43253.74159999999 Value 118597.74159999998\n",
"2018-10-22, Close, 272.00\n",
"Max price: 277.0\n",
"Min price: 243.0\n",
"2018-10-23, Cash 43253.74159999999 Value 117489.74159999998\n",
"2018-10-23, Close, 268.00\n",
"Max price: 277.0\n",
"Min price: 243.0\n",
"2018-10-24, Cash 43253.74159999999 Value 116437.14159999997\n",
"2018-10-24, Close, 264.20\n",
"Max price: 277.0\n",
"Min price: 243.0\n",
"2018-10-25, Cash 43253.74159999999 Value 115827.74159999998\n",
"2018-10-25, Close, 262.00\n",
"Max price: 275.0\n",
"Min price: 243.0\n",
"2018-10-26, Cash 43253.74159999999 Value 118043.74159999998\n",
"2018-10-26, Close, 270.00\n",
"Max price: 275.0\n",
"Min price: 243.0\n",
"2018-10-29, Cash 43253.74159999999 Value 118043.74159999998\n",
"2018-10-29, Close, 270.00\n",
"Max price: 272.0\n",
"Min price: 243.0\n",
"2018-10-30, Cash 43253.74159999999 Value 116381.74159999998\n",
"2018-10-30, Close, 264.00\n",
"Max price: 272.0\n",
"Min price: 243.0\n",
"2018-10-31, Cash 43253.74159999999 Value 119705.74159999998\n",
"2018-10-31, Close, 276.00\n",
"Max price: 276.0\n",
"Min price: 243.0\n",
"2018-10-31, BUY CREATE, 276.00\n",
"2018-11-05, BUY EXECUTED, Price: 275.00, Cost: 9900.00, Comm 59.40\n",
"2018-11-05, Cash 33294.341599999985 Value 120934.34159999999\n",
"2018-11-05, Close, 280.00\n",
"Max price: 280.0\n",
"Min price: 243.0\n",
"2018-11-05, BUY CREATE, 280.00\n",
"2018-11-06, BUY EXECUTED, Price: 280.00, Cost: 9800.00, Comm 58.80\n",
"2018-11-06, Cash 23435.541599999986 Value 120388.34159999999\n",
"2018-11-06, Close, 278.60\n",
"Max price: 280.0\n",
"Min price: 243.0\n",
"2018-11-07, Cash 23435.541599999986 Value 120875.54159999998\n",
"2018-11-07, Close, 280.00\n",
"Max price: 280.0\n",
"Min price: 243.0\n",
"2018-11-07, BUY CREATE, 280.00\n",
"2018-11-08, BUY EXECUTED, Price: 278.80, Cost: 9758.00, Comm 58.55\n",
"2018-11-08, Cash 13618.993599999985 Value 120858.99359999999\n",
"2018-11-08, Close, 280.00\n",
"Max price: 280.0\n",
"Min price: 243.0\n",
"2018-11-08, BUY CREATE, 280.00\n",
"2018-11-09, BUY EXECUTED, Price: 279.00, Cost: 9765.00, Comm 58.59\n",
"2018-11-09, Cash 3795.403599999985 Value 119999.40359999999\n",
"2018-11-09, Close, 278.00\n",
"Max price: 280.0\n",
"Min price: 243.0\n",
"2018-11-12, Cash 3795.403599999985 Value 118327.40359999999\n",
"2018-11-12, Close, 274.00\n",
"Max price: 280.0\n",
"Min price: 243.0\n",
"2018-11-13, Cash 3795.403599999985 Value 117825.8036\n",
"2018-11-13, Close, 272.80\n",
"Max price: 280.0\n",
"Min price: 243.0\n",
"2018-11-14, Cash 3795.403599999985 Value 120417.40359999999\n",
"2018-11-14, Close, 279.00\n",
"Max price: 280.0\n",
"Min price: 243.0\n",
"2018-11-15, Cash 3795.403599999985 Value 120835.40359999999\n",
"2018-11-15, Close, 280.00\n",
"Max price: 280.0\n",
"Min price: 243.0\n",
"2018-11-15, BUY CREATE, 280.00\n",
"2018-11-16, BUY EXECUTED, Price: 284.80, Cost: 3702.40, Comm 22.21\n",
"2018-11-16, Cash 70.789199999985 Value 121612.78919999998\n",
"2018-11-16, Close, 282.00\n",
"Max price: 282.0\n",
"Min price: 243.0\n",
"2018-11-19, Cash 70.789199999985 Value 121612.78919999998\n",
"2018-11-19, Close, 282.00\n",
"Max price: 282.0\n",
"Min price: 243.0\n",
"2018-11-20, Cash 70.789199999985 Value 120319.78919999998\n",
"2018-11-20, Close, 279.00\n",
"Max price: 282.0\n",
"Min price: 243.0\n",
"2018-11-21, Cash 70.789199999985 Value 121612.78919999998\n",
"2018-11-21, Close, 282.00\n",
"Max price: 282.0\n",
"Min price: 250.0\n",
"2018-11-22, Cash 70.789199999985 Value 122905.78919999998\n",
"2018-11-22, Close, 285.00\n",
"Max price: 285.0\n",
"Min price: 250.0\n",
"2018-11-23, Cash 70.789199999985 Value 122043.78919999998\n",
"2018-11-23, Close, 283.00\n",
"Max price: 285.0\n",
"Min price: 250.0\n",
"2018-11-26, Cash 70.789199999985 Value 120750.78919999998\n",
"2018-11-26, Close, 280.00\n",
"Max price: 285.0\n",
"Min price: 250.0\n",
"2018-11-27, Cash 70.789199999985 Value 122043.78919999998\n",
"2018-11-27, Close, 283.00\n",
"Max price: 285.0\n",
"Min price: 250.0\n",
"2018-11-28, Cash 70.789199999985 Value 120750.78919999998\n",
"2018-11-28, Close, 280.00\n",
"Max price: 285.0\n",
"Min price: 254.2\n",
"2018-11-29, Cash 70.789199999985 Value 120061.18919999998\n",
"2018-11-29, Close, 278.40\n",
"Max price: 285.0\n",
"Min price: 258.6\n",
"2018-12-03, Cash 70.789199999985 Value 123681.58919999999\n",
"2018-12-03, Close, 286.80\n",
"Max price: 286.8\n",
"Min price: 260.0\n",
"2018-12-04, Cash 70.789199999985 Value 124888.38919999999\n",
"2018-12-04, Close, 289.60\n",
"Max price: 289.6\n",
"Min price: 262.0\n",
"2018-12-05, Cash 70.789199999985 Value 126784.78919999998\n",
"2018-12-05, Close, 294.00\n",
"Max price: 294.0\n",
"Min price: 262.0\n",
"2018-12-06, Cash 70.789199999985 Value 127646.78919999998\n",
"2018-12-06, Close, 296.00\n",
"Max price: 296.0\n",
"Min price: 262.0\n",
"2018-12-07, Cash 70.789199999985 Value 127215.78919999998\n",
"2018-12-07, Close, 295.00\n",
"Max price: 296.0\n",
"Min price: 262.0\n",
"2018-12-10, Cash 70.789199999985 Value 125491.78919999998\n",
"2018-12-10, Close, 291.00\n",
"Max price: 296.0\n",
"Min price: 262.0\n",
"2018-12-11, Cash 70.789199999985 Value 128077.78919999998\n",
"2018-12-11, Close, 297.00\n",
"Max price: 297.0\n",
"Min price: 264.0\n",
"2018-12-12, Cash 70.789199999985 Value 126784.78919999998\n",
"2018-12-12, Close, 294.00\n",
"Max price: 297.0\n",
"Min price: 264.0\n",
"2018-12-13, Cash 70.789199999985 Value 127043.38919999999\n",
"2018-12-13, Close, 294.60\n",
"Max price: 297.0\n",
"Min price: 264.0\n",
"2018-12-14, Cash 70.789199999985 Value 128508.78919999998\n",
"2018-12-14, Close, 298.00\n",
"Max price: 298.0\n",
"Min price: 272.8\n",
"2018-12-17, Cash 70.789199999985 Value 129370.78919999998\n",
"2018-12-17, Close, 300.00\n",
"Max price: 300.0\n",
"Min price: 272.8\n",
"2018-12-18, Cash 70.789199999985 Value 129887.98919999997\n",
"2018-12-18, Close, 301.20\n",
"Max price: 301.2\n",
"Min price: 272.8\n",
"2018-12-19, Cash 70.789199999985 Value 131525.7892\n",
"2018-12-19, Close, 305.00\n",
"Max price: 305.0\n",
"Min price: 272.8\n",
"2018-12-20, Cash 70.789199999985 Value 130663.78919999998\n",
"2018-12-20, Close, 303.00\n",
"Max price: 305.0\n",
"Min price: 272.8\n",
"2018-12-21, Cash 70.789199999985 Value 130405.18919999998\n",
"2018-12-21, Close, 302.40\n",
"Max price: 305.0\n",
"Min price: 272.8\n",
"2018-12-26, Cash 70.789199999985 Value 125922.78919999998\n",
"2018-12-26, Close, 292.00\n",
"Max price: 305.0\n",
"Min price: 272.8\n",
"2018-12-27, Cash 70.789199999985 Value 127215.78919999998\n",
"2018-12-27, Close, 295.00\n",
"Max price: 305.0\n",
"Min price: 272.8\n",
"2018-12-28, Cash 70.789199999985 Value 125836.58919999999\n",
"2018-12-28, Close, 291.80\n",
"Max price: 305.0\n",
"Min price: 278.4\n",
"Final Portfolio Value: 125836.59\n"
]
},
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '');\n",
" var titletext = $(\n",
" '');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('');\n",
"\n",
" var fmt_picker = $('');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('![](\"')
');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('');\n",
" var button = $('');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" // select the cell after this one\n",
" var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
" IPython.notebook.select(index + 1);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
""
]
},
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"output_type": "display_data"
},
{
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\")
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from __future__ import (absolute_import, division, print_function,\n",
" unicode_literals)\n",
"from pkg_resources import resource_filename\n",
"import datetime\n",
"import os.path\n",
"import sys\n",
"import backtrader as bt\n",
"import backtrader.feeds as btfeed\n",
"\n",
"INIT_CASH = 100000\n",
"BAND_PERIOD = 30\n",
"COMMISSION_PER_TRANSACTION = 0.006\n",
"DATA_FILE = resource_filename(__name__,'../data/JFC_2010-01-01_2019-01-01_OHLCV.csv')\n",
"\n",
"class MinMaxSupportResistance(bt.Strategy):\n",
" def log(self, txt, dt=None):\n",
" dt = dt or self.datas[0].datetime.date(0)\n",
" print('%s, %s' % (dt.isoformat(), txt))\n",
"\n",
" def __init__(self):\n",
" self.dataclose = self.datas[0].close\n",
" self.order = None\n",
" self.buyprice = None\n",
" self.buycomm = None\n",
"\n",
" self.minn = bt.indicators.MinN(self.datas[0], period=BAND_PERIOD)\n",
" self.maxn = bt.indicators.MaxN(self.datas[0], period=BAND_PERIOD)\n",
"\n",
" def notify_order(self, order):\n",
" if order.status in [order.Submitted, order.Accepted]:\n",
" return\n",
"\n",
" if order.status in [order.Completed]:\n",
" if order.isbuy():\n",
" self.log(\n",
" 'BUY EXECUTED, Price: %.2f, Cost: %.2f, Comm %.2f' %\n",
" (order.executed.price,\n",
" order.executed.value,\n",
" order.executed.comm))\n",
"\n",
" self.buyprice = order.executed.price\n",
" self.buycomm = order.executed.comm\n",
" else: # Sell\n",
" self.log('SELL EXECUTED, Price: %.2f, Cost: %.2f, Comm %.2f' %\n",
" (order.executed.price,\n",
" order.executed.value,\n",
" order.executed.comm))\n",
"\n",
" self.bar_executed = len(self)\n",
"\n",
" elif order.status in [order.Canceled, order.Margin, order.Rejected]:\n",
" self.log('Order Canceled/Margin/Rejected')\n",
"\n",
" # Write down: no pending order\n",
" self.order = None\n",
" \n",
" def notify_cashvalue(self, cash, value):\n",
" # Update cash and value every period\n",
" self.log('Cash %s Value %s' % (cash, value))\n",
" self.cash = cash\n",
" self.value = value\n",
"\n",
" def notify_trade(self, trade):\n",
" if not trade.isclosed:\n",
" return\n",
"\n",
" self.log('OPERATION PROFIT, GROSS %.2f, NET %.2f' %\n",
" (trade.pnl, trade.pnlcomm))\n",
"\n",
" def next(self):\n",
" self.log('Close, %.2f' % self.dataclose[0])\n",
" print('Max price:', self.maxn[0])\n",
" print('Min price:', self.minn[0])\n",
" if self.order:\n",
" return\n",
"\n",
" # Only buy if there is enough cash for at least one stock\n",
" if self.cash >= self.dataclose[0]:\n",
" # Sell if the current closing is the lowest in the last N days\n",
" if (self.dataclose[0] == self.maxn):\n",
" self.log('BUY CREATE, %.2f' % self.dataclose[0])\n",
" # Take a 10% long position every time it's a buy signal (or whatever is afforder by the current cash position)\n",
" # \"size\" refers to the number of stocks to purchase\n",
" self.order = self.buy(size=int(min((INIT_CASH / self.dataclose[0]) * 0.1, self.cash / self.dataclose[0])))\n",
"\n",
" # Only sell if you hold least one unit of the stock (and sell only that stock, so no short selling)\n",
" if (self.value - self.cash) > 0:\n",
" # Buy if the current closing is the highest in the last N days\n",
" if (self.dataclose[0] == self.minn):\n",
" self.log('SELL CREATE, %.2f' % self.dataclose[0])\n",
" # Sell a 5% sell position (or whatever is afforded by the current stock holding)\n",
" # \"size\" refers to the number of stocks to purchase\n",
" self.order = self.sell(size=int(min((INIT_CASH / self.dataclose[0]) * 0.05, (self.value - self.cash) / self.dataclose[0])))\n",
"\n",
"\n",
"if __name__ == '__main__':\n",
" cerebro = bt.Cerebro()\n",
" cerebro.addstrategy(MinMaxSupportResistance)\n",
" cerebro.broker.setcommission(commission=COMMISSION_PER_TRANSACTION)\n",
"\n",
" data = btfeed.GenericCSVData(\n",
" dataname=DATA_FILE,\n",
"\n",
" fromdate=datetime.datetime(2017, 1, 1),\n",
" todate=datetime.datetime(2019, 1, 1),\n",
"\n",
" nullvalue=0.0,\n",
"\n",
" dtformat=('%Y-%m-%d'),\n",
"\n",
" datetime=0,\n",
" open=1,\n",
" high=2,\n",
" low=3,\n",
" close=4,\n",
" volume=5,\n",
" openinterest=-1\n",
" )\n",
" cerebro.adddata(data)\n",
" cerebro.broker.setcash(INIT_CASH)\n",
" print('Starting Portfolio Value: %.2f' % cerebro.broker.getvalue())\n",
" cerebro.run()\n",
" print('Final Portfolio Value: %.2f' % cerebro.broker.getvalue())\n",
" cerebro.plot(figsize=(30, 15))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
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