~Gr€€n~ ______ ________ __ __ __ __ ______ / \ / |/ | / |/ | / | / \ /$$$$$$ |€€€€€€€€/ $$ | /$$/ $$ | /$$/ /$$$$$$ | $$ | _$$/ €€ |__ $$ |/$$/ $$ |/$$/ $$ | $$ | $$ |/ |€€ | $$ $$< $$ $$< $$ | $$ | $$ |$$$$ |€€€€€/ $$$$$ \ $$$$$ \ $$ | $$ | ___ $$ \__$$ |€€ |_____ $$ |$$ \ $$ |$$ \ $$ \__$$ | /_\ `* $$ $$/ €€ |$$ | $$ |$$ | $$ |$$ $$/ (o o) $$$$$$/ €€€€€€€€/ $$/ $$/ $$/ $$/ $$$$$$/ -ooO--(_)--Ooo- Gekko v2019.0.68.201 I'm gonna make you rich, Bud Fox. 2019-01-19 17:47:44 (INFO): Setting up Gekko in backtest mode 2019-01-19 17:47:44 (INFO): 2019-01-19 17:47:44 (INFO): Setting up: 2019-01-19 17:47:44 (INFO): Paper Trader 2019-01-19 17:47:44 (INFO): Paper trader that simulates fake trades. 2019-01-19 17:47:44 (INFO): 2019-01-19 17:47:44 (INFO): Setting up: 2019-01-19 17:47:44 (INFO): Performance Analyzer 2019-01-19 17:47:44 (INFO): Analyzes performances of trades 2019-01-19 17:47:44 (INFO): 2019-01-19 17:47:44 (INFO): Setting up: 2019-01-19 17:47:44 (INFO): Trading Advisor 2019-01-19 17:47:44 (INFO): Calculate trading advice 2019-01-19 17:47:44 (INFO): Using the strategy: Think5 2019-01-19 17:47:44 (INFO): 2019-01-19 17:47:44 (INFO): WARNING: BACKTESTING FEATURE NEEDS PROPER TESTING 2019-01-19 17:47:44 (INFO): WARNING: ACT ON THESE NUMBERS AT YOUR OWN RISK! 2019-01-19 17:47:44 (DEBUG): *** Requested 36000 minutes of warmup history data, so reading db since 2017-12-06T22:00:00Z UTC and start backtest at 2018-01-01T00:00:00+02:00 UTC 2019-01-19 17:47:44 (DEBUG): Check database exists: binance 2019-01-19 17:47:44 (DEBUG): Database exists: binance 2019-01-19 17:47:44 (DEBUG): Postgres connection pool is ready, db binance 2019-01-19 17:47:48 (DEBUG): T5coworker strategy warmup with history data: 10 / 600 ( 25 days ) 2019-01-19 17:47:48 (DEBUG): T5fasciatus strategy warmup with history data: 10 / 600 ( 25 days ) 2019-01-19 17:47:51 (DEBUG): T5coworker strategy warmup with history data: 20 / 600 ( 25 days ) 2019-01-19 17:47:51 (DEBUG): T5fasciatus strategy warmup with history data: 20 / 600 ( 25 days ) 2019-01-19 17:47:55 (DEBUG): T5coworker strategy warmup with history data: 30 / 600 ( 25 days ) 2019-01-19 17:47:55 (DEBUG): T5fasciatus strategy warmup with history data: 30 / 600 ( 25 days ) 2019-01-19 17:47:59 (DEBUG): T5coworker strategy warmup with history data: 40 / 600 ( 25 days ) 2019-01-19 17:47:59 (DEBUG): T5fasciatus strategy warmup with history data: 40 / 600 ( 25 days ) 2019-01-19 17:48:02 (DEBUG): T5coworker strategy warmup with history data: 50 / 600 ( 25 days ) 2019-01-19 17:48:02 (DEBUG): T5fasciatus strategy warmup with history data: 50 / 600 ( 25 days ) 2019-01-19 17:48:06 (DEBUG): T5coworker strategy warmup with history data: 60 / 600 ( 25 days ) 2019-01-19 17:48:06 (DEBUG): T5fasciatus strategy warmup with history data: 60 / 600 ( 25 days ) 2019-01-19 17:48:10 (DEBUG): T5coworker strategy warmup with history data: 70 / 600 ( 25 days ) 2019-01-19 17:48:10 (DEBUG): T5fasciatus strategy warmup with history data: 70 / 600 ( 25 days ) 2019-01-19 17:48:13 (DEBUG): T5coworker strategy warmup with history data: 80 / 600 ( 25 days ) 2019-01-19 17:48:14 (DEBUG): T5fasciatus strategy warmup with history data: 80 / 600 ( 25 days ) 2019-01-19 17:48:17 (DEBUG): T5coworker strategy warmup with history data: 90 / 600 ( 25 days ) 2019-01-19 17:48:17 (DEBUG): T5fasciatus strategy warmup with history data: 90 / 600 ( 25 days ) 2019-01-19 17:48:21 (DEBUG): T5coworker strategy warmup with history data: 100 / 600 ( 25 days ) 2019-01-19 17:48:21 (DEBUG): T5fasciatus strategy warmup with history data: 100 / 600 ( 25 days ) 2019-01-19 17:48:25 (DEBUG): T5coworker strategy warmup with history data: 110 / 600 ( 25 days ) 2019-01-19 17:48:25 (DEBUG): T5fasciatus strategy warmup with history data: 110 / 600 ( 25 days ) 2019-01-19 17:48:28 (DEBUG): T5coworker strategy warmup with history data: 120 / 600 ( 25 days ) 2019-01-19 17:48:28 (DEBUG): T5fasciatus strategy warmup with history data: 120 / 600 ( 25 days ) 2019-01-19 17:48:32 (DEBUG): T5coworker strategy warmup with history data: 130 / 600 ( 25 days ) 2019-01-19 17:48:32 (DEBUG): T5fasciatus strategy warmup with history data: 130 / 600 ( 25 days ) 2019-01-19 17:48:36 (DEBUG): T5coworker strategy warmup with history data: 140 / 600 ( 25 days ) 2019-01-19 17:48:36 (DEBUG): T5fasciatus strategy warmup with history data: 140 / 600 ( 25 days ) 2019-01-19 17:48:40 (DEBUG): T5coworker strategy warmup with history data: 150 / 600 ( 25 days ) 2019-01-19 17:48:40 (DEBUG): T5fasciatus strategy warmup with history data: 150 / 600 ( 25 days ) 2019-01-19 17:48:44 (DEBUG): T5coworker strategy warmup with history data: 160 / 600 ( 25 days ) 2019-01-19 17:48:44 (DEBUG): T5fasciatus strategy warmup with history data: 160 / 600 ( 25 days ) 2019-01-19 17:48:48 (DEBUG): T5coworker strategy warmup with history data: 170 / 600 ( 25 days ) 2019-01-19 17:48:48 (DEBUG): T5fasciatus strategy warmup with history data: 170 / 600 ( 25 days ) 2019-01-19 17:48:52 (DEBUG): T5coworker strategy warmup with history data: 180 / 600 ( 25 days ) 2019-01-19 17:48:52 (DEBUG): T5fasciatus strategy warmup with history data: 180 / 600 ( 25 days ) 2019-01-19 17:48:56 (DEBUG): T5coworker strategy warmup with history data: 190 / 600 ( 25 days ) 2019-01-19 17:48:56 (DEBUG): T5fasciatus strategy warmup with history data: 190 / 600 ( 25 days ) 2019-01-19 17:49:00 (DEBUG): T5coworker strategy warmup with history data: 200 / 600 ( 25 days ) 2019-01-19 17:49:00 (DEBUG): T5fasciatus strategy warmup with history data: 200 / 600 ( 25 days ) 2019-01-19 17:49:04 (DEBUG): T5coworker strategy warmup with history data: 210 / 600 ( 25 days ) 2019-01-19 17:49:04 (DEBUG): T5fasciatus strategy warmup with history data: 210 / 600 ( 25 days ) 2019-01-19 17:49:08 (DEBUG): T5coworker strategy warmup with history data: 220 / 600 ( 25 days ) 2019-01-19 17:49:08 (DEBUG): T5fasciatus strategy warmup with history data: 220 / 600 ( 25 days ) 2019-01-19 17:49:12 (DEBUG): T5coworker strategy warmup with history data: 230 / 600 ( 25 days ) 2019-01-19 17:49:12 (DEBUG): T5fasciatus strategy warmup with history data: 230 / 600 ( 25 days ) 2019-01-19 17:49:16 (DEBUG): T5coworker strategy warmup with history data: 240 / 600 ( 25 days ) 2019-01-19 17:49:16 (DEBUG): T5fasciatus strategy warmup with history data: 240 / 600 ( 25 days ) 2019-01-19 17:49:20 (DEBUG): T5coworker strategy warmup with history data: 250 / 600 ( 25 days ) 2019-01-19 17:49:20 (DEBUG): T5fasciatus strategy warmup with history data: 250 / 600 ( 25 days ) 2019-01-19 17:49:24 (DEBUG): T5coworker strategy warmup with history data: 260 / 600 ( 25 days ) 2019-01-19 17:49:24 (DEBUG): T5fasciatus strategy warmup with history data: 260 / 600 ( 25 days ) 2019-01-19 17:49:28 (DEBUG): T5coworker strategy warmup with history data: 270 / 600 ( 25 days ) 2019-01-19 17:49:28 (DEBUG): T5fasciatus strategy warmup with history data: 270 / 600 ( 25 days ) 2019-01-19 17:49:33 (DEBUG): T5coworker strategy warmup with history data: 280 / 600 ( 25 days ) 2019-01-19 17:49:33 (DEBUG): T5fasciatus strategy warmup with history data: 280 / 600 ( 25 days ) 2019-01-19 17:49:37 (DEBUG): T5coworker strategy warmup with history data: 290 / 600 ( 25 days ) 2019-01-19 17:49:37 (DEBUG): T5fasciatus strategy warmup with history data: 290 / 600 ( 25 days ) 2019-01-19 17:49:41 (DEBUG): T5coworker strategy warmup with history data: 300 / 600 ( 25 days ) 2019-01-19 17:49:41 (DEBUG): T5fasciatus strategy warmup with history data: 300 / 600 ( 25 days ) 2019-01-19 17:49:45 (DEBUG): T5coworker strategy warmup with history data: 310 / 600 ( 25 days ) 2019-01-19 17:49:45 (DEBUG): T5fasciatus strategy warmup with history data: 310 / 600 ( 25 days ) 2019-01-19 17:49:50 (DEBUG): T5coworker strategy warmup with history data: 320 / 600 ( 25 days ) 2019-01-19 17:49:50 (DEBUG): T5fasciatus strategy warmup with history data: 320 / 600 ( 25 days ) 2019-01-19 17:49:54 (DEBUG): T5coworker strategy warmup with history data: 330 / 600 ( 25 days ) 2019-01-19 17:49:54 (DEBUG): T5fasciatus strategy warmup with history data: 330 / 600 ( 25 days ) 2019-01-19 17:49:58 (DEBUG): T5coworker strategy warmup with history data: 340 / 600 ( 25 days ) 2019-01-19 17:49:58 (DEBUG): T5fasciatus strategy warmup with history data: 340 / 600 ( 25 days ) 2019-01-19 17:50:03 (DEBUG): T5coworker strategy warmup with history data: 350 / 600 ( 25 days ) 2019-01-19 17:50:03 (DEBUG): T5fasciatus strategy warmup with history data: 350 / 600 ( 25 days ) 2019-01-19 17:50:07 (DEBUG): T5coworker strategy warmup with history data: 360 / 600 ( 25 days ) 2019-01-19 17:50:07 (DEBUG): T5fasciatus strategy warmup with history data: 360 / 600 ( 25 days ) 2019-01-19 17:50:12 (DEBUG): T5coworker strategy warmup with history data: 370 / 600 ( 25 days ) 2019-01-19 17:50:12 (DEBUG): T5fasciatus strategy warmup with history data: 370 / 600 ( 25 days ) 2019-01-19 17:50:16 (DEBUG): T5coworker strategy warmup with history data: 380 / 600 ( 25 days ) 2019-01-19 17:50:16 (DEBUG): T5fasciatus strategy warmup with history data: 380 / 600 ( 25 days ) 2019-01-19 17:50:21 (DEBUG): T5coworker strategy warmup with history data: 390 / 600 ( 25 days ) 2019-01-19 17:50:21 (DEBUG): T5fasciatus strategy warmup with history data: 390 / 600 ( 25 days ) 2019-01-19 17:50:26 (DEBUG): T5coworker strategy warmup with history data: 400 / 600 ( 25 days ) 2019-01-19 17:50:26 (DEBUG): T5fasciatus strategy warmup with history data: 400 / 600 ( 25 days ) 2019-01-19 17:50:30 (DEBUG): T5coworker strategy warmup with history data: 410 / 600 ( 25 days ) 2019-01-19 17:50:30 (DEBUG): T5fasciatus strategy warmup with history data: 410 / 600 ( 25 days ) 2019-01-19 17:50:35 (DEBUG): T5coworker strategy warmup with history data: 420 / 600 ( 25 days ) 2019-01-19 17:50:35 (DEBUG): T5fasciatus strategy warmup with history data: 420 / 600 ( 25 days ) 2019-01-19 17:50:40 (DEBUG): T5coworker strategy warmup with history data: 430 / 600 ( 25 days ) 2019-01-19 17:50:40 (DEBUG): T5fasciatus strategy warmup with history data: 430 / 600 ( 25 days ) 2019-01-19 17:50:45 (DEBUG): T5coworker strategy warmup with history data: 440 / 600 ( 25 days ) 2019-01-19 17:50:45 (DEBUG): T5fasciatus strategy warmup with history data: 440 / 600 ( 25 days ) 2019-01-19 17:50:49 (DEBUG): T5coworker strategy warmup with history data: 450 / 600 ( 25 days ) 2019-01-19 17:50:49 (DEBUG): T5fasciatus strategy warmup with history data: 450 / 600 ( 25 days ) 2019-01-19 17:50:54 (DEBUG): T5coworker strategy warmup with history data: 460 / 600 ( 25 days ) 2019-01-19 17:50:54 (DEBUG): T5fasciatus strategy warmup with history data: 460 / 600 ( 25 days ) 2019-01-19 17:50:59 (DEBUG): T5coworker strategy warmup with history data: 470 / 600 ( 25 days ) 2019-01-19 17:50:59 (DEBUG): T5fasciatus strategy warmup with history data: 470 / 600 ( 25 days ) 2019-01-19 17:51:03 (DEBUG): T5coworker strategy warmup with history data: 480 / 600 ( 25 days ) 2019-01-19 17:51:03 (DEBUG): T5fasciatus strategy warmup with history data: 480 / 600 ( 25 days ) 2019-01-19 17:51:08 (DEBUG): T5coworker strategy warmup with history data: 490 / 600 ( 25 days ) 2019-01-19 17:51:08 (DEBUG): T5fasciatus strategy warmup with history data: 490 / 600 ( 25 days ) 2019-01-19 17:51:13 (DEBUG): T5coworker strategy warmup with history data: 500 / 600 ( 25 days ) 2019-01-19 17:51:13 (DEBUG): T5fasciatus strategy warmup with history data: 500 / 600 ( 25 days ) 2019-01-19 17:51:18 (DEBUG): T5coworker strategy warmup with history data: 510 / 600 ( 25 days ) 2019-01-19 17:51:18 (DEBUG): T5fasciatus strategy warmup with history data: 510 / 600 ( 25 days ) 2019-01-19 17:51:22 (DEBUG): T5coworker strategy warmup with history data: 520 / 600 ( 25 days ) 2019-01-19 17:51:22 (DEBUG): T5fasciatus strategy warmup with history data: 520 / 600 ( 25 days ) 2019-01-19 17:51:27 (DEBUG): T5coworker strategy warmup with history data: 530 / 600 ( 25 days ) 2019-01-19 17:51:27 (DEBUG): T5fasciatus strategy warmup with history data: 530 / 600 ( 25 days ) 2019-01-19 17:51:32 (DEBUG): T5coworker strategy warmup with history data: 540 / 600 ( 25 days ) 2019-01-19 17:51:32 (DEBUG): T5fasciatus strategy warmup with history data: 540 / 600 ( 25 days ) 2019-01-19 17:51:37 (DEBUG): T5coworker strategy warmup with history data: 550 / 600 ( 25 days ) 2019-01-19 17:51:37 (DEBUG): T5fasciatus strategy warmup with history data: 550 / 600 ( 25 days ) 2019-01-19 17:51:41 (DEBUG): T5coworker strategy warmup with history data: 560 / 600 ( 25 days ) 2019-01-19 17:51:42 (DEBUG): T5fasciatus strategy warmup with history data: 560 / 600 ( 25 days ) 2019-01-19 17:51:46 (DEBUG): T5coworker strategy warmup with history data: 570 / 600 ( 25 days ) 2019-01-19 17:51:46 (DEBUG): T5fasciatus strategy warmup with history data: 570 / 600 ( 25 days ) 2019-01-19 17:51:51 (DEBUG): T5coworker strategy warmup with history data: 580 / 600 ( 25 days ) 2019-01-19 17:51:51 (DEBUG): T5fasciatus strategy warmup with history data: 580 / 600 ( 25 days ) 2019-01-19 17:51:56 (DEBUG): T5coworker strategy warmup with history data: 590 / 600 ( 25 days ) 2019-01-19 17:51:56 (DEBUG): T5fasciatus strategy warmup with history data: 590 / 600 ( 25 days ) 2019-01-19 17:52:08 (DEBUG): SELL with 60M main strategy... 2019-01-19 17:52:08 (INFO): 2018-01-01 15:01:00: Paper trader simulated a SELL @ 8.00 USDT 1000.00000000 USDT <= 0.00000000 BNB 2019-01-19 17:52:57 (DEBUG): BUY with 60M main strategy... 2019-01-19 17:52:57 (INFO): 2018-01-05 21:01:00: Paper trader simulated a BUY @ 13.70 USDT 0.00000000 USDT => 72.88321167 BNB 2019-01-19 17:53:23 (DEBUG): SELL with 60M main strategy... 2019-01-19 17:53:23 (INFO): 2018-01-08 03:01:00: Paper trader simulated a SELL @ 18.00 USDT 1309.92996334 USDT <= 0.00000000 BNB 2019-01-19 17:54:06 (DEBUG): BUY with 60M main strategy... 2019-01-19 17:54:06 (INFO): 2018-01-11 22:01:00: Paper trader simulated a BUY @ 21.19 USDT 0.00000000 USDT => 61.72587262 BNB 2019-01-19 17:54:36 (DEBUG): SELL with 60M main strategy... 2019-01-19 17:54:36 (INFO): 2018-01-14 11:01:00: Paper trader simulated a SELL @ 20.60 USDT 1269.76891307 USDT <= 0.00000000 BNB 2019-01-19 18:03:16 (DEBUG): BUY with 5M main strategy... 2019-01-19 18:03:16 (INFO): 2018-02-27 11:51:00: Paper trader simulated a BUY @ 10.84 USDT 0.00000000 USDT => 116.96164757 BNB 2019-01-19 18:03:17 (DEBUG): SELL with 5M main strategy... 2019-01-19 18:03:17 (INFO): 2018-02-27 13:21:00: Paper trader simulated a SELL @ 10.94 USDT 1278.07319273 USDT <= 0.00000000 BNB 2019-01-19 18:03:17 (DEBUG): BUY with 5M main strategy... 2019-01-19 18:03:17 (INFO): 2018-02-27 14:01:00: Paper trader simulated a BUY @ 10.91 USDT 0.00000000 USDT => 116.97337100 BNB 2019-01-19 18:03:19 (DEBUG): SELL with 5M main strategy... 2019-01-19 18:03:19 (INFO): 2018-02-27 18:31:00: Paper trader simulated a SELL @ 10.63 USDT 1241.00116335 USDT <= 0.00000000 BNB 2019-01-19 18:07:46 (DEBUG): BUY with 5M main strategy... 2019-01-19 18:07:46 (INFO): 2018-03-22 08:31:00: Paper trader simulated a BUY @ 10.57 USDT 0.00000000 USDT => 117.23286517 BNB 2019-01-19 18:07:46 (DEBUG): SELL with 5M main strategy... 2019-01-19 18:07:46 (INFO): 2018-03-22 09:51:00: Paper trader simulated a SELL @ 10.72 USDT 1254.31274787 USDT <= 0.00000000 BNB 2019-01-19 18:08:02 (DEBUG): BUY with 5M main strategy... 2019-01-19 18:08:02 (INFO): 2018-03-23 18:36:00: Paper trader simulated a BUY @ 10.66 USDT 0.00000000 USDT => 117.48886292 BNB 2019-01-19 18:08:03 (DEBUG): SELL with 5M main strategy... 2019-01-19 18:08:03 (INFO): 2018-03-23 19:46:00: Paper trader simulated a SELL @ 10.79 USDT 1265.80327366 USDT <= 0.00000000 BNB 2019-01-19 18:08:04 (DEBUG): BUY with 5M main strategy... 2019-01-19 18:08:04 (INFO): 2018-03-23 22:56:00: Paper trader simulated a BUY @ 11.32 USDT 0.00000000 USDT => 111.66122472 BNB 2019-01-19 18:08:31 (DEBUG): SELL with 60M main strategy... 2019-01-19 18:08:31 (INFO): 2018-03-26 06:01:00: Paper trader simulated a SELL @ 12.51 USDT 1395.22142392 USDT <= 0.00000000 BNB 2019-01-19 18:14:19 (DEBUG): BUY with 5M main strategy... 2019-01-19 18:14:19 (INFO): 2018-04-24 16:11:00: Paper trader simulated a BUY @ 14.65 USDT 0.00000000 USDT => 95.11357901 BNB 2019-01-19 18:14:19 (DEBUG): SELL with 5M main strategy... 2019-01-19 18:14:19 (INFO): 2018-04-24 17:06:00: Paper trader simulated a SELL @ 14.80 USDT 1405.50296825 USDT <= 0.00000000 BNB 2019-01-19 18:14:21 (DEBUG): BUY with 5M main strategy... 2019-01-19 18:14:21 (INFO): 2018-04-24 21:06:00: Paper trader simulated a BUY @ 15.21 USDT 0.00000000 USDT => 92.26789702 BNB 2019-01-19 18:14:22 (DEBUG): SELL with 5M main strategy... 2019-01-19 18:14:22 (INFO): 2018-04-24 22:16:00: Paper trader simulated a SELL @ 15.29 USDT 1408.65998121 USDT <= 0.00000000 BNB 2019-01-19 18:17:20 (DEBUG): BUY with 5M main strategy... 2019-01-19 18:17:20 (INFO): 2018-05-09 23:11:00: Paper trader simulated a BUY @ 14.58 USDT 0.00000000 USDT => 96.47958948 BNB 2019-01-19 18:17:21 (DEBUG): SELL with 5M main strategy... 2019-01-19 18:17:21 (INFO): 2018-05-10 00:46:00: Paper trader simulated a SELL @ 14.65 USDT 1411.42144874 USDT <= 0.00000000 BNB 2019-01-19 18:19:03 (DEBUG): BUY with 5M main strategy... 2019-01-19 18:19:03 (INFO): 2018-05-18 15:31:00: Paper trader simulated a BUY @ 15.10 USDT 0.00000000 USDT => 93.31101921 BNB 2019-01-19 18:19:05 (DEBUG): SELL with 5M main strategy... 2019-01-19 18:19:05 (INFO): 2018-05-18 19:01:00: Paper trader simulated a SELL @ 14.76 USDT 1375.13951783 USDT <= 0.00000000 BNB 2019-01-19 18:19:06 (DEBUG): BUY with 5M main strategy... 2019-01-19 18:19:06 (INFO): 2018-05-18 21:46:00: Paper trader simulated a BUY @ 14.81 USDT 0.00000000 USDT => 92.68402849 BNB 2019-01-19 18:19:08 (DEBUG): SELL with 5M main strategy... 2019-01-19 18:19:08 (INFO): 2018-05-19 01:21:00: Paper trader simulated a SELL @ 15.25 USDT 1411.31128732 USDT <= 0.00000000 BNB 2019-01-19 18:21:36 (DEBUG): BUY with 5M main strategy... 2019-01-19 18:21:36 (INFO): 2018-05-31 11:21:00: Paper trader simulated a BUY @ 13.80 USDT 0.00000000 USDT => 102.11553046 BNB 2019-01-19 18:21:37 (DEBUG): SELL with 5M main strategy... 2019-01-19 18:21:37 (INFO): 2018-05-31 13:01:00: Paper trader simulated a SELL @ 13.89 USDT 1416.13478618 USDT <= 0.00000000 BNB 2019-01-19 18:25:49 (DEBUG): BUY with 5M main strategy... 2019-01-19 18:25:49 (INFO): 2018-06-21 16:11:00: Paper trader simulated a BUY @ 16.80 USDT 0.00000000 USDT => 84.17932228 BNB 2019-01-19 18:25:50 (DEBUG): SELL with 5M main strategy... 2019-01-19 18:25:50 (INFO): 2018-06-21 17:46:00: Paper trader simulated a SELL @ 16.65 USDT 1399.55057983 USDT <= 0.00000000 BNB 2019-01-19 18:30:45 (DEBUG): BUY with 5M main strategy... 2019-01-19 18:30:45 (INFO): 2018-07-16 10:26:00: Paper trader simulated a BUY @ 12.93 USDT 0.00000000 USDT => 108.07820989 BNB 2019-01-19 18:30:47 (DEBUG): SELL with 5M main strategy... 2019-01-19 18:30:47 (INFO): 2018-07-16 14:41:00: Paper trader simulated a SELL @ 13.23 USDT 1427.62198867 USDT <= 0.00000000 BNB 2019-01-19 18:31:03 (DEBUG): BUY with 5M main strategy... 2019-01-19 18:31:03 (INFO): 2018-07-17 22:31:00: Paper trader simulated a BUY @ 13.74 USDT 0.00000000 USDT => 103.72411814 BNB 2019-01-19 18:31:04 (DEBUG): SELL with 5M main strategy... 2019-01-19 18:31:04 (INFO): 2018-07-18 00:26:00: Paper trader simulated a SELL @ 13.80 USDT 1429.18359996 USDT <= 0.00000000 BNB 2019-01-19 18:32:33 (DEBUG): BUY with 5M main strategy... 2019-01-19 18:32:33 (INFO): 2018-07-25 10:06:00: Paper trader simulated a BUY @ 13.13 USDT 0.00000000 USDT => 108.68626756 BNB 2019-01-19 18:32:33 (DEBUG): SELL with 5M main strategy... 2019-01-19 18:32:33 (INFO): 2018-07-25 10:51:00: Paper trader simulated a SELL @ 13.22 USDT 1434.83999331 USDT <= 0.00000000 BNB 2019-01-19 18:40:04 (DEBUG): BUY with 5M main strategy... 2019-01-19 18:40:04 (INFO): 2018-09-01 04:11:00: Paper trader simulated a BUY @ 11.32 USDT 0.00000000 USDT => 126.55245902 BNB 2019-01-19 18:40:04 (DEBUG): SELL with 5M main strategy... 2019-01-19 18:40:04 (INFO): 2018-09-01 04:46:00: Paper trader simulated a SELL @ 11.36 USDT 1434.96139378 USDT <= 0.00000000 BNB 2019-01-19 18:48:56 (DEBUG): BUY with 5M main strategy... 2019-01-19 18:48:56 (INFO): 2018-10-15 09:46:00: Paper trader simulated a BUY @ 10.45 USDT 0.00000000 USDT => 137.11090446 BNB 2019-01-19 18:48:58 (DEBUG): SELL with 5M main strategy... 2019-01-19 18:48:58 (INFO): 2018-10-15 13:06:00: Paper trader simulated a SELL @ 10.46 USDT 1431.96033794 USDT <= 0.00000000 BNB 2019-01-19 18:48:59 (DEBUG): BUY with 5M main strategy... 2019-01-19 18:48:59 (INFO): 2018-10-15 14:31:00: Paper trader simulated a BUY @ 10.46 USDT 0.00000000 USDT => 136.69595952 BNB 2019-01-19 18:49:00 (DEBUG): SELL with 5M main strategy... 2019-01-19 18:49:00 (INFO): 2018-10-15 17:31:00: Paper trader simulated a SELL @ 10.50 USDT 1433.04542086 USDT <= 0.00000000 BNB 2019-01-19 19:01:56 (DEBUG): BUY with 5M main strategy... 2019-01-19 19:01:56 (INFO): 2018-12-19 01:36:00: Paper trader simulated a BUY @ 5.48 USDT 0.00000000 USDT => 260.89814071 BNB 2019-01-19 19:01:57 (DEBUG): SELL with 5M main strategy... 2019-01-19 19:01:57 (INFO): 2018-12-19 02:26:00: Paper trader simulated a SELL @ 5.53 USDT 1440.60256804 USDT <= 0.00000000 BNB 2019-01-19 19:01:57 (DEBUG): BUY with 5M main strategy... 2019-01-19 19:01:57 (INFO): 2018-12-19 03:36:00: Paper trader simulated a BUY @ 5.47 USDT 0.00000000 USDT => 263.11834205 BNB 2019-01-19 19:01:59 (DEBUG): SELL with 5M main strategy... 2019-01-19 19:01:59 (INFO): 2018-12-19 06:26:00: Paper trader simulated a SELL @ 5.44 USDT 1430.45153630 USDT <= 0.00000000 BNB 2019-01-19 19:03:57 (DEBUG): BUY with 5M main strategy... 2019-01-19 19:03:57 (INFO): 2018-12-28 21:11:00: Paper trader simulated a BUY @ 5.78 USDT 0.00000000 USDT => 247.14167096 BNB 2019-01-19 19:03:57 (DEBUG): SELL with 5M main strategy... 2019-01-19 19:03:57 (INFO): 2018-12-28 22:01:00: Paper trader simulated a SELL @ 5.86 USDT 1446.91683779 USDT <= 0.00000000 BNB 2019-01-19 19:03:59 (DEBUG): BUY with 5M main strategy... 2019-01-19 19:03:59 (INFO): 2018-12-29 02:06:00: Paper trader simulated a BUY @ 5.86 USDT 0.00000000 USDT => 246.57321907 BNB 2019-01-19 19:04:00 (DEBUG): SELL with 5M main strategy... 2019-01-19 19:04:00 (INFO): 2018-12-29 04:41:00: Paper trader simulated a SELL @ 5.85 USDT 1439.62490249 USDT <= 0.00000000 BNB 2019-01-19 19:04:23 (INFO): 2019-01-19 19:04:23 (INFO): (ROUNDTRIP) REPORT: 2019-01-19 19:04:23 (INFO): (ROUNDTRIP) entry date (UTC) exit date (UTC) exposed duration P&L profit 2019-01-19 19:04:23 (INFO): (ROUNDTRIP) 2018-01-05 20:01 2018-01-08 02:01 2 days 311.43 31.19 2019-01-19 19:04:23 (INFO): (ROUNDTRIP) 2018-01-11 21:01 2018-01-14 10:01 3 days -38.20 -2.92 2019-01-19 19:04:23 (INFO): (ROUNDTRIP) 2018-02-27 10:51 2018-02-27 12:21 2 hours 10.21 0.81 2019-01-19 19:04:23 (INFO): (ROUNDTRIP) 2018-02-27 13:01 2018-02-27 17:31 5 hours -35.15 -2.75 2019-01-19 19:04:23 (INFO): (ROUNDTRIP) 2018-03-22 07:31 2018-03-22 08:51 an hour 15.17 1.22 2019-01-19 19:04:23 (INFO): (ROUNDTRIP) 2018-03-23 17:36 2018-03-23 18:46 an hour 13.37 1.07 2019-01-19 19:04:23 (INFO): (ROUNDTRIP) 2018-03-23 21:56 2018-03-26 04:01 2 days 131.32 10.39 2019-01-19 19:04:23 (INFO): (ROUNDTRIP) 2018-04-24 14:11 2018-04-24 15:06 an hour 12.37 0.89 2019-01-19 19:04:23 (INFO): (ROUNDTRIP) 2018-04-24 19:06 2018-04-24 20:16 an hour 5.27 0.38 2019-01-19 19:04:23 (INFO): (ROUNDTRIP) 2018-05-09 21:11 2018-05-09 22:46 2 hours 4.87 0.35 2019-01-19 19:04:23 (INFO): (ROUNDTRIP) 2018-05-18 13:31 2018-05-18 17:01 4 hours -34.16 -2.42 2019-01-19 19:04:23 (INFO): (ROUNDTRIP) 2018-05-18 19:46 2018-05-18 23:21 4 hours 38.23 2.78 2019-01-19 19:04:23 (INFO): (ROUNDTRIP) 2018-05-31 09:21 2018-05-31 11:01 2 hours 6.94 0.49 2019-01-19 19:04:23 (INFO): (ROUNDTRIP) 2018-06-21 14:11 2018-06-21 15:46 2 hours -14.46 -1.02 2019-01-19 19:04:23 (INFO): (ROUNDTRIP) 2018-07-16 08:26 2018-07-16 12:41 4 hours 30.17 2.16 2019-01-19 19:04:23 (INFO): (ROUNDTRIP) 2018-07-17 20:31 2018-07-17 22:26 2 hours 3.70 0.26 2019-01-19 19:04:23 (INFO): (ROUNDTRIP) 2018-07-25 08:06 2018-07-25 08:51 an hour 7.80 0.55 2019-01-19 19:04:23 (INFO): (ROUNDTRIP) 2018-09-01 02:11 2018-09-01 02:46 35 minutes 2.27 0.16 2019-01-19 19:04:23 (INFO): (ROUNDTRIP) 2018-10-15 07:46 2018-10-15 11:06 3 hours -0.85 -0.06 2019-01-19 19:04:23 (INFO): (ROUNDTRIP) 2018-10-15 12:31 2018-10-15 15:31 3 hours 3.23 0.23 2019-01-19 19:04:23 (INFO): (ROUNDTRIP) 2018-12-19 00:36 2018-12-19 01:26 an hour 9.71 0.68 2019-01-19 19:04:23 (INFO): (ROUNDTRIP) 2018-12-19 02:36 2018-12-19 05:26 3 hours -7.99 -0.56 2019-01-19 19:04:23 (INFO): (ROUNDTRIP) 2018-12-28 20:11 2018-12-28 21:01 an hour 18.61 1.30 2019-01-19 19:04:23 (INFO): (ROUNDTRIP) 2018-12-29 01:06 2018-12-29 03:41 3 hours -5.12 -0.35 2019-01-19 19:04:23 (INFO): 2019-01-19 19:04:23 (INFO): (PROFIT REPORT) start time: 2017-12-31 22:01:00 2019-01-19 19:04:23 (INFO): (PROFIT REPORT) end time: 2018-12-30 22:01:00 2019-01-19 19:04:23 (INFO): (PROFIT REPORT) timespan: a year 2019-01-19 19:04:23 (INFO): (PROFIT REPORT) exposure: 0.0243246336996337 2019-01-19 19:04:23 (INFO): 2019-01-19 19:04:23 (INFO): (PROFIT REPORT) start price: 8.6171 USDT 2019-01-19 19:04:23 (INFO): (PROFIT REPORT) end price: 5.8752 USDT 2019-01-19 19:04:23 (INFO): (PROFIT REPORT) Market: -31.81928955% 2019-01-19 19:04:23 (INFO): 2019-01-19 19:04:23 (INFO): (PROFIT REPORT) amount of trades: 49 2019-01-19 19:04:23 (INFO): (PROFIT REPORT) original balance: 1000.00000000 USDT 2019-01-19 19:04:23 (INFO): (PROFIT REPORT) current balance: 1439.62490249 USDT 2019-01-19 19:04:23 (INFO): (PROFIT REPORT) profit: 439.62490249 USDT (43.96249025%) 2019-01-19 19:04:23 (INFO): (PROFIT REPORT) alpha: 75.78177980116953% 2019-01-19 19:04:23 (INFO): (PROFIT REPORT) simulated yearly profit: 441.1255451859996 USDT (44.112554518599964%) 2019-01-19 19:04:23 (INFO): (PROFIT REPORT) sharpe ratio: 5.81860117912895 2019-01-19 19:04:23 (INFO): (PROFIT REPORT) expected downside: -2.7283822937660487 2019-01-19 19:04:23 (INFO): (PROFIT REPORT) ratio roundtrips: 70.8333%