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Jakub Polec 2025-06-21 07:16:58 +02:00
parent 53f97752a4
commit f13408a9df
6 changed files with 3445 additions and 79 deletions

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cost_log.csv Normal file
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timestamp,time_seconds,cumulative_costs,trading_fees,spread_costs,slippage_costs
2025-06-20 20:17:23,5.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:24,6.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:25,7.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:26,8.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:27,9.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:28,10.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:29,11.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:30,12.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:31,13.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:32,14.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:33,15.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:34,16.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:35,17.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:36,18.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:37,19.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:38,20.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:39,21.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:40,22.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:41,23.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:42,24.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:43,25.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:44,26.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:45,27.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:46,28.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:47,29.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:48,30.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:49,31.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:50,32.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:51,33.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:52,34.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:53,35.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:54,36.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:55,37.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:56,38.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:57,39.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:58,40.0,0.0,0.0,0.0,0.0
2025-06-20 20:17:59,41.0,0.0,0.0,0.0,0.0
2025-06-20 20:18:00,42.0,0.0,0.0,0.0,0.0
2025-06-20 20:18:01,43.0,0.0,0.0,0.0,0.0
2025-06-20 20:18:02,44.0,0.0,0.0,0.0,0.0
2025-06-20 20:18:03,45.0,0.0,0.0,0.0,0.0
2025-06-20 20:18:04,46.0,1.36,0.8,0.4,0.16
2025-06-20 20:18:05,47.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:06,48.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:07,49.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:08,50.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:09,51.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:10,52.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:11,53.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:12,54.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:13,55.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:14,56.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:15,57.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:16,58.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:17,59.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:18,60.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:19,61.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:20,62.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:21,63.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:22,64.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:23,65.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:24,66.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:25,67.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:26,68.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:27,69.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:28,70.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:29,71.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:30,72.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:31,73.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:32,74.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:33,75.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:34,76.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:35,77.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:36,78.0,1.36,0.0,0.0,0.0
2025-06-20 20:18:37,79.0,2.72,0.8,0.4,0.16
2025-06-20 20:18:38,80.0,2.72,0.0,0.0,0.0
2025-06-20 20:18:39,81.0,2.72,0.0,0.0,0.0
2025-06-20 20:18:40,82.0,4.352,0.9600000000000002,0.4800000000000001,0.19200000000000003
2025-06-20 20:18:41,83.0,5.984000000000001,0.9600000000000002,0.4800000000000001,0.19200000000000003
2025-06-20 20:18:42,84.0,5.984000000000001,0.0,0.0,0.0
2025-06-20 20:18:43,85.0,7.616000000000001,0.9600000000000002,0.4800000000000001,0.19200000000000003
2025-06-20 20:18:44,86.0,7.616000000000001,0.0,0.0,0.0
2025-06-20 20:18:45,87.0,9.248000000000001,0.9600000000000002,0.4800000000000001,0.19200000000000003
2025-06-20 20:18:46,88.0,9.248000000000001,0.0,0.0,0.0
2025-06-20 20:18:47,89.0,9.248000000000001,0.0,0.0,0.0
2025-06-20 20:18:48,90.0,9.248000000000001,0.0,0.0,0.0
2025-06-20 20:18:49,91.0,9.248000000000001,0.0,0.0,0.0
2025-06-20 20:18:50,92.0,9.248000000000001,0.0,0.0,0.0
2025-06-20 20:18:51,93.0,9.248000000000001,0.0,0.0,0.0
2025-06-20 20:18:52,94.0,9.248000000000001,0.0,0.0,0.0
2025-06-20 20:18:53,95.0,9.248000000000001,0.0,0.0,0.0
2025-06-20 20:18:54,96.0,9.248000000000001,0.0,0.0,0.0
2025-06-20 20:18:55,97.0,9.248000000000001,0.0,0.0,0.0
2025-06-20 20:18:56,98.0,9.248000000000001,0.0,0.0,0.0
2025-06-20 20:18:57,99.0,9.248000000000001,0.0,0.0,0.0
2025-06-20 20:18:58,100.0,10.553600000000001,0.7680000000000001,0.38400000000000006,0.15360000000000004
2025-06-20 20:18:59,101.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:00,102.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:01,103.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:02,104.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:03,105.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:04,106.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:05,107.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:06,108.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:07,109.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:08,110.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:09,111.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:10,112.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:11,113.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:12,114.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:13,115.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:14,116.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:15,117.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:16,118.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:17,119.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:18,120.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:19,121.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:20,122.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:21,123.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:22,124.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:23,125.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:24,126.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:25,127.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:26,128.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:27,129.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:28,130.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:29,131.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:30,132.0,10.553600000000001,0.0,0.0,0.0
2025-06-20 20:19:31,133.0,11.859200000000001,0.7680000000000001,0.38400000000000006,0.15360000000000004
2025-06-20 20:19:32,134.0,11.859200000000001,0.0,0.0,0.0
2025-06-20 20:19:33,135.0,11.859200000000001,0.0,0.0,0.0
2025-06-20 20:19:34,136.0,11.859200000000001,0.0,0.0,0.0
2025-06-20 20:19:35,137.0,11.859200000000001,0.0,0.0,0.0
2025-06-20 20:19:36,138.0,11.859200000000001,0.0,0.0,0.0
2025-06-20 20:19:37,139.0,13.491200000000001,0.9600000000000002,0.4800000000000001,0.19200000000000003
2025-06-20 20:19:38,140.0,13.491200000000001,0.0,0.0,0.0
2025-06-20 20:19:39,141.0,13.491200000000001,0.0,0.0,0.0
2025-06-20 20:19:40,142.0,13.491200000000001,0.0,0.0,0.0
2025-06-20 20:19:41,143.0,13.491200000000001,0.0,0.0,0.0
2025-06-20 20:19:42,144.0,13.491200000000001,0.0,0.0,0.0
2025-06-20 20:19:43,145.0,13.491200000000001,0.0,0.0,0.0
2025-06-20 20:19:44,146.0,13.491200000000001,0.0,0.0,0.0
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2025-06-20 20:19:46,148.0,13.491200000000001,0.0,0.0,0.0
2025-06-20 20:19:47,149.0,13.491200000000001,0.0,0.0,0.0
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2025-06-20 20:19:50,152.0,13.491200000000001,0.0,0.0,0.0
2025-06-20 20:19:51,153.0,13.491200000000001,0.0,0.0,0.0
2025-06-20 20:19:52,154.0,13.491200000000001,0.0,0.0,0.0
2025-06-20 20:19:53,155.0,13.491200000000001,0.0,0.0,0.0
2025-06-20 20:19:54,156.0,15.1232,0.9600000000000002,0.4800000000000001,0.19200000000000003
2025-06-20 20:19:55,157.0,15.1232,0.0,0.0,0.0
2025-06-20 20:19:56,158.0,16.755200000000002,0.9600000000000002,0.4800000000000001,0.19200000000000003
2025-06-20 20:19:57,159.0,16.755200000000002,0.0,0.0,0.0
2025-06-20 20:19:58,160.0,16.755200000000002,0.0,0.0,0.0
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2025-06-20 20:20:17,179.0,16.755200000000002,0.0,0.0,0.0
2025-06-20 20:20:18,180.0,16.755200000000002,0.0,0.0,0.0
2025-06-20 20:20:19,181.0,16.755200000000002,0.0,0.0,0.0
2025-06-20 20:20:20,182.0,16.755200000000002,0.0,0.0,0.0
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2025-06-20 20:20:53,215.0,19.692800000000005,0.0,0.0,0.0
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2025-06-20 20:28:35,677.0,63.97439999999997,0.0,0.0,0.0
2025-06-20 20:28:36,678.0,63.97439999999997,0.0,0.0,0.0
2025-06-20 20:28:37,679.0,63.97439999999997,0.0,0.0,0.0
2025-06-20 20:28:38,680.0,63.97439999999997,0.0,0.0,0.0
2025-06-20 20:28:39,681.0,63.97439999999997,0.0,0.0,0.0
2025-06-20 20:28:40,682.0,63.97439999999997,0.0,0.0,0.0
2025-06-20 20:28:41,683.0,63.97439999999997,0.0,0.0,0.0
2025-06-20 20:28:42,684.0,63.97439999999997,0.0,0.0,0.0
2025-06-20 20:28:43,685.0,63.97439999999997,0.0,0.0,0.0
2025-06-20 20:28:44,686.0,63.97439999999997,0.0,0.0,0.0
2025-06-20 20:28:45,687.0,63.97439999999997,0.0,0.0,0.0
2025-06-20 20:28:46,688.0,63.97439999999997,0.0,0.0,0.0
2025-06-20 20:28:47,689.0,63.97439999999997,0.0,0.0,0.0
2025-06-20 20:28:48,690.0,63.97439999999997,0.0,0.0,0.0
2025-06-20 20:28:49,691.0,63.97439999999997,0.0,0.0,0.0
2025-06-20 20:28:50,692.0,63.97439999999997,0.0,0.0,0.0
2025-06-20 20:28:51,693.0,63.97439999999997,0.0,0.0,0.0
2025-06-20 20:28:52,694.0,63.97439999999997,0.0,0.0,0.0
2025-06-20 20:28:53,695.0,63.97439999999997,0.0,0.0,0.0
2025-06-20 20:28:54,696.0,65.60639999999997,0.9600000000000002,0.4800000000000001,0.19200000000000003
2025-06-20 20:28:55,697.0,67.23839999999997,0.9600000000000002,0.4800000000000001,0.19200000000000003
2025-06-20 20:28:56,698.0,67.23839999999997,0.0,0.0,0.0
2025-06-20 20:28:57,699.0,67.23839999999997,0.0,0.0,0.0
2025-06-20 20:28:58,700.0,67.23839999999997,0.0,0.0,0.0
2025-06-20 20:28:59,701.0,67.23839999999997,0.0,0.0,0.0
2025-06-20 20:29:00,702.0,67.23839999999997,0.0,0.0,0.0
2025-06-20 20:29:01,703.0,67.23839999999997,0.0,0.0,0.0
2025-06-20 20:29:02,704.0,67.23839999999997,0.0,0.0,0.0
2025-06-20 20:29:03,705.0,67.23839999999997,0.0,0.0,0.0
2025-06-20 20:29:04,706.0,67.23839999999997,0.0,0.0,0.0
2025-06-20 20:29:05,707.0,68.87039999999998,0.9600000000000002,0.4800000000000001,0.19200000000000003
2025-06-20 20:29:06,708.0,70.50239999999998,0.9600000000000002,0.4800000000000001,0.19200000000000003
2025-06-20 20:29:07,709.0,70.50239999999998,0.0,0.0,0.0
2025-06-20 20:29:08,710.0,70.50239999999998,0.0,0.0,0.0
1 timestamp time_seconds cumulative_costs trading_fees spread_costs slippage_costs
2 2025-06-20 20:17:23 5.0 0.0 0.0 0.0 0.0
3 2025-06-20 20:17:24 6.0 0.0 0.0 0.0 0.0
4 2025-06-20 20:17:25 7.0 0.0 0.0 0.0 0.0
5 2025-06-20 20:17:26 8.0 0.0 0.0 0.0 0.0
6 2025-06-20 20:17:27 9.0 0.0 0.0 0.0 0.0
7 2025-06-20 20:17:28 10.0 0.0 0.0 0.0 0.0
8 2025-06-20 20:17:29 11.0 0.0 0.0 0.0 0.0
9 2025-06-20 20:17:30 12.0 0.0 0.0 0.0 0.0
10 2025-06-20 20:17:31 13.0 0.0 0.0 0.0 0.0
11 2025-06-20 20:17:32 14.0 0.0 0.0 0.0 0.0
12 2025-06-20 20:17:33 15.0 0.0 0.0 0.0 0.0
13 2025-06-20 20:17:34 16.0 0.0 0.0 0.0 0.0
14 2025-06-20 20:17:35 17.0 0.0 0.0 0.0 0.0
15 2025-06-20 20:17:36 18.0 0.0 0.0 0.0 0.0
16 2025-06-20 20:17:37 19.0 0.0 0.0 0.0 0.0
17 2025-06-20 20:17:38 20.0 0.0 0.0 0.0 0.0
18 2025-06-20 20:17:39 21.0 0.0 0.0 0.0 0.0
19 2025-06-20 20:17:40 22.0 0.0 0.0 0.0 0.0
20 2025-06-20 20:17:41 23.0 0.0 0.0 0.0 0.0
21 2025-06-20 20:17:42 24.0 0.0 0.0 0.0 0.0
22 2025-06-20 20:17:43 25.0 0.0 0.0 0.0 0.0
23 2025-06-20 20:17:44 26.0 0.0 0.0 0.0 0.0
24 2025-06-20 20:17:45 27.0 0.0 0.0 0.0 0.0
25 2025-06-20 20:17:46 28.0 0.0 0.0 0.0 0.0
26 2025-06-20 20:17:47 29.0 0.0 0.0 0.0 0.0
27 2025-06-20 20:17:48 30.0 0.0 0.0 0.0 0.0
28 2025-06-20 20:17:49 31.0 0.0 0.0 0.0 0.0
29 2025-06-20 20:17:50 32.0 0.0 0.0 0.0 0.0
30 2025-06-20 20:17:51 33.0 0.0 0.0 0.0 0.0
31 2025-06-20 20:17:52 34.0 0.0 0.0 0.0 0.0
32 2025-06-20 20:17:53 35.0 0.0 0.0 0.0 0.0
33 2025-06-20 20:17:54 36.0 0.0 0.0 0.0 0.0
34 2025-06-20 20:17:55 37.0 0.0 0.0 0.0 0.0
35 2025-06-20 20:17:56 38.0 0.0 0.0 0.0 0.0
36 2025-06-20 20:17:57 39.0 0.0 0.0 0.0 0.0
37 2025-06-20 20:17:58 40.0 0.0 0.0 0.0 0.0
38 2025-06-20 20:17:59 41.0 0.0 0.0 0.0 0.0
39 2025-06-20 20:18:00 42.0 0.0 0.0 0.0 0.0
40 2025-06-20 20:18:01 43.0 0.0 0.0 0.0 0.0
41 2025-06-20 20:18:02 44.0 0.0 0.0 0.0 0.0
42 2025-06-20 20:18:03 45.0 0.0 0.0 0.0 0.0
43 2025-06-20 20:18:04 46.0 1.36 0.8 0.4 0.16
44 2025-06-20 20:18:05 47.0 1.36 0.0 0.0 0.0
45 2025-06-20 20:18:06 48.0 1.36 0.0 0.0 0.0
46 2025-06-20 20:18:07 49.0 1.36 0.0 0.0 0.0
47 2025-06-20 20:18:08 50.0 1.36 0.0 0.0 0.0
48 2025-06-20 20:18:09 51.0 1.36 0.0 0.0 0.0
49 2025-06-20 20:18:10 52.0 1.36 0.0 0.0 0.0
50 2025-06-20 20:18:11 53.0 1.36 0.0 0.0 0.0
51 2025-06-20 20:18:12 54.0 1.36 0.0 0.0 0.0
52 2025-06-20 20:18:13 55.0 1.36 0.0 0.0 0.0
53 2025-06-20 20:18:14 56.0 1.36 0.0 0.0 0.0
54 2025-06-20 20:18:15 57.0 1.36 0.0 0.0 0.0
55 2025-06-20 20:18:16 58.0 1.36 0.0 0.0 0.0
56 2025-06-20 20:18:17 59.0 1.36 0.0 0.0 0.0
57 2025-06-20 20:18:18 60.0 1.36 0.0 0.0 0.0
58 2025-06-20 20:18:19 61.0 1.36 0.0 0.0 0.0
59 2025-06-20 20:18:20 62.0 1.36 0.0 0.0 0.0
60 2025-06-20 20:18:21 63.0 1.36 0.0 0.0 0.0
61 2025-06-20 20:18:22 64.0 1.36 0.0 0.0 0.0
62 2025-06-20 20:18:23 65.0 1.36 0.0 0.0 0.0
63 2025-06-20 20:18:24 66.0 1.36 0.0 0.0 0.0
64 2025-06-20 20:18:25 67.0 1.36 0.0 0.0 0.0
65 2025-06-20 20:18:26 68.0 1.36 0.0 0.0 0.0
66 2025-06-20 20:18:27 69.0 1.36 0.0 0.0 0.0
67 2025-06-20 20:18:28 70.0 1.36 0.0 0.0 0.0
68 2025-06-20 20:18:29 71.0 1.36 0.0 0.0 0.0
69 2025-06-20 20:18:30 72.0 1.36 0.0 0.0 0.0
70 2025-06-20 20:18:31 73.0 1.36 0.0 0.0 0.0
71 2025-06-20 20:18:32 74.0 1.36 0.0 0.0 0.0
72 2025-06-20 20:18:33 75.0 1.36 0.0 0.0 0.0
73 2025-06-20 20:18:34 76.0 1.36 0.0 0.0 0.0
74 2025-06-20 20:18:35 77.0 1.36 0.0 0.0 0.0
75 2025-06-20 20:18:36 78.0 1.36 0.0 0.0 0.0
76 2025-06-20 20:18:37 79.0 2.72 0.8 0.4 0.16
77 2025-06-20 20:18:38 80.0 2.72 0.0 0.0 0.0
78 2025-06-20 20:18:39 81.0 2.72 0.0 0.0 0.0
79 2025-06-20 20:18:40 82.0 4.352 0.9600000000000002 0.4800000000000001 0.19200000000000003
80 2025-06-20 20:18:41 83.0 5.984000000000001 0.9600000000000002 0.4800000000000001 0.19200000000000003
81 2025-06-20 20:18:42 84.0 5.984000000000001 0.0 0.0 0.0
82 2025-06-20 20:18:43 85.0 7.616000000000001 0.9600000000000002 0.4800000000000001 0.19200000000000003
83 2025-06-20 20:18:44 86.0 7.616000000000001 0.0 0.0 0.0
84 2025-06-20 20:18:45 87.0 9.248000000000001 0.9600000000000002 0.4800000000000001 0.19200000000000003
85 2025-06-20 20:18:46 88.0 9.248000000000001 0.0 0.0 0.0
86 2025-06-20 20:18:47 89.0 9.248000000000001 0.0 0.0 0.0
87 2025-06-20 20:18:48 90.0 9.248000000000001 0.0 0.0 0.0
88 2025-06-20 20:18:49 91.0 9.248000000000001 0.0 0.0 0.0
89 2025-06-20 20:18:50 92.0 9.248000000000001 0.0 0.0 0.0
90 2025-06-20 20:18:51 93.0 9.248000000000001 0.0 0.0 0.0
91 2025-06-20 20:18:52 94.0 9.248000000000001 0.0 0.0 0.0
92 2025-06-20 20:18:53 95.0 9.248000000000001 0.0 0.0 0.0
93 2025-06-20 20:18:54 96.0 9.248000000000001 0.0 0.0 0.0
94 2025-06-20 20:18:55 97.0 9.248000000000001 0.0 0.0 0.0
95 2025-06-20 20:18:56 98.0 9.248000000000001 0.0 0.0 0.0
96 2025-06-20 20:18:57 99.0 9.248000000000001 0.0 0.0 0.0
97 2025-06-20 20:18:58 100.0 10.553600000000001 0.7680000000000001 0.38400000000000006 0.15360000000000004
98 2025-06-20 20:18:59 101.0 10.553600000000001 0.0 0.0 0.0
99 2025-06-20 20:19:00 102.0 10.553600000000001 0.0 0.0 0.0
100 2025-06-20 20:19:01 103.0 10.553600000000001 0.0 0.0 0.0
101 2025-06-20 20:19:02 104.0 10.553600000000001 0.0 0.0 0.0
102 2025-06-20 20:19:03 105.0 10.553600000000001 0.0 0.0 0.0
103 2025-06-20 20:19:04 106.0 10.553600000000001 0.0 0.0 0.0
104 2025-06-20 20:19:05 107.0 10.553600000000001 0.0 0.0 0.0
105 2025-06-20 20:19:06 108.0 10.553600000000001 0.0 0.0 0.0
106 2025-06-20 20:19:07 109.0 10.553600000000001 0.0 0.0 0.0
107 2025-06-20 20:19:08 110.0 10.553600000000001 0.0 0.0 0.0
108 2025-06-20 20:19:09 111.0 10.553600000000001 0.0 0.0 0.0
109 2025-06-20 20:19:10 112.0 10.553600000000001 0.0 0.0 0.0
110 2025-06-20 20:19:11 113.0 10.553600000000001 0.0 0.0 0.0
111 2025-06-20 20:19:12 114.0 10.553600000000001 0.0 0.0 0.0
112 2025-06-20 20:19:13 115.0 10.553600000000001 0.0 0.0 0.0
113 2025-06-20 20:19:14 116.0 10.553600000000001 0.0 0.0 0.0
114 2025-06-20 20:19:15 117.0 10.553600000000001 0.0 0.0 0.0
115 2025-06-20 20:19:16 118.0 10.553600000000001 0.0 0.0 0.0
116 2025-06-20 20:19:17 119.0 10.553600000000001 0.0 0.0 0.0
117 2025-06-20 20:19:18 120.0 10.553600000000001 0.0 0.0 0.0
118 2025-06-20 20:19:19 121.0 10.553600000000001 0.0 0.0 0.0
119 2025-06-20 20:19:20 122.0 10.553600000000001 0.0 0.0 0.0
120 2025-06-20 20:19:21 123.0 10.553600000000001 0.0 0.0 0.0
121 2025-06-20 20:19:22 124.0 10.553600000000001 0.0 0.0 0.0
122 2025-06-20 20:19:23 125.0 10.553600000000001 0.0 0.0 0.0
123 2025-06-20 20:19:24 126.0 10.553600000000001 0.0 0.0 0.0
124 2025-06-20 20:19:25 127.0 10.553600000000001 0.0 0.0 0.0
125 2025-06-20 20:19:26 128.0 10.553600000000001 0.0 0.0 0.0
126 2025-06-20 20:19:27 129.0 10.553600000000001 0.0 0.0 0.0
127 2025-06-20 20:19:28 130.0 10.553600000000001 0.0 0.0 0.0
128 2025-06-20 20:19:29 131.0 10.553600000000001 0.0 0.0 0.0
129 2025-06-20 20:19:30 132.0 10.553600000000001 0.0 0.0 0.0
130 2025-06-20 20:19:31 133.0 11.859200000000001 0.7680000000000001 0.38400000000000006 0.15360000000000004
131 2025-06-20 20:19:32 134.0 11.859200000000001 0.0 0.0 0.0
132 2025-06-20 20:19:33 135.0 11.859200000000001 0.0 0.0 0.0
133 2025-06-20 20:19:34 136.0 11.859200000000001 0.0 0.0 0.0
134 2025-06-20 20:19:35 137.0 11.859200000000001 0.0 0.0 0.0
135 2025-06-20 20:19:36 138.0 11.859200000000001 0.0 0.0 0.0
136 2025-06-20 20:19:37 139.0 13.491200000000001 0.9600000000000002 0.4800000000000001 0.19200000000000003
137 2025-06-20 20:19:38 140.0 13.491200000000001 0.0 0.0 0.0
138 2025-06-20 20:19:39 141.0 13.491200000000001 0.0 0.0 0.0
139 2025-06-20 20:19:40 142.0 13.491200000000001 0.0 0.0 0.0
140 2025-06-20 20:19:41 143.0 13.491200000000001 0.0 0.0 0.0
141 2025-06-20 20:19:42 144.0 13.491200000000001 0.0 0.0 0.0
142 2025-06-20 20:19:43 145.0 13.491200000000001 0.0 0.0 0.0
143 2025-06-20 20:19:44 146.0 13.491200000000001 0.0 0.0 0.0
144 2025-06-20 20:19:45 147.0 13.491200000000001 0.0 0.0 0.0
145 2025-06-20 20:19:46 148.0 13.491200000000001 0.0 0.0 0.0
146 2025-06-20 20:19:47 149.0 13.491200000000001 0.0 0.0 0.0
147 2025-06-20 20:19:48 150.0 13.491200000000001 0.0 0.0 0.0
148 2025-06-20 20:19:49 151.0 13.491200000000001 0.0 0.0 0.0
149 2025-06-20 20:19:50 152.0 13.491200000000001 0.0 0.0 0.0
150 2025-06-20 20:19:51 153.0 13.491200000000001 0.0 0.0 0.0
151 2025-06-20 20:19:52 154.0 13.491200000000001 0.0 0.0 0.0
152 2025-06-20 20:19:53 155.0 13.491200000000001 0.0 0.0 0.0
153 2025-06-20 20:19:54 156.0 15.1232 0.9600000000000002 0.4800000000000001 0.19200000000000003
154 2025-06-20 20:19:55 157.0 15.1232 0.0 0.0 0.0
155 2025-06-20 20:19:56 158.0 16.755200000000002 0.9600000000000002 0.4800000000000001 0.19200000000000003
156 2025-06-20 20:19:57 159.0 16.755200000000002 0.0 0.0 0.0
157 2025-06-20 20:19:58 160.0 16.755200000000002 0.0 0.0 0.0
158 2025-06-20 20:19:59 161.0 16.755200000000002 0.0 0.0 0.0
159 2025-06-20 20:20:00 162.0 16.755200000000002 0.0 0.0 0.0
160 2025-06-20 20:20:01 163.0 16.755200000000002 0.0 0.0 0.0
161 2025-06-20 20:20:02 164.0 16.755200000000002 0.0 0.0 0.0
162 2025-06-20 20:20:03 165.0 16.755200000000002 0.0 0.0 0.0
163 2025-06-20 20:20:04 166.0 16.755200000000002 0.0 0.0 0.0
164 2025-06-20 20:20:05 167.0 16.755200000000002 0.0 0.0 0.0
165 2025-06-20 20:20:06 168.0 16.755200000000002 0.0 0.0 0.0
166 2025-06-20 20:20:07 169.0 16.755200000000002 0.0 0.0 0.0
167 2025-06-20 20:20:08 170.0 16.755200000000002 0.0 0.0 0.0
168 2025-06-20 20:20:09 171.0 16.755200000000002 0.0 0.0 0.0
169 2025-06-20 20:20:10 172.0 16.755200000000002 0.0 0.0 0.0
170 2025-06-20 20:20:11 173.0 16.755200000000002 0.0 0.0 0.0
171 2025-06-20 20:20:12 174.0 16.755200000000002 0.0 0.0 0.0
172 2025-06-20 20:20:13 175.0 16.755200000000002 0.0 0.0 0.0
173 2025-06-20 20:20:14 176.0 16.755200000000002 0.0 0.0 0.0
174 2025-06-20 20:20:15 177.0 16.755200000000002 0.0 0.0 0.0
175 2025-06-20 20:20:16 178.0 16.755200000000002 0.0 0.0 0.0
176 2025-06-20 20:20:17 179.0 16.755200000000002 0.0 0.0 0.0
177 2025-06-20 20:20:18 180.0 16.755200000000002 0.0 0.0 0.0
178 2025-06-20 20:20:19 181.0 16.755200000000002 0.0 0.0 0.0
179 2025-06-20 20:20:20 182.0 16.755200000000002 0.0 0.0 0.0
180 2025-06-20 20:20:21 183.0 16.755200000000002 0.0 0.0 0.0
181 2025-06-20 20:20:22 184.0 16.755200000000002 0.0 0.0 0.0
182 2025-06-20 20:20:23 185.0 18.387200000000004 0.9600000000000002 0.4800000000000001 0.19200000000000003
183 2025-06-20 20:20:24 186.0 18.387200000000004 0.0 0.0 0.0
184 2025-06-20 20:20:25 187.0 18.387200000000004 0.0 0.0 0.0
185 2025-06-20 20:20:26 188.0 18.387200000000004 0.0 0.0 0.0
186 2025-06-20 20:20:27 189.0 18.387200000000004 0.0 0.0 0.0
187 2025-06-20 20:20:28 190.0 18.387200000000004 0.0 0.0 0.0
188 2025-06-20 20:20:29 191.0 18.387200000000004 0.0 0.0 0.0
189 2025-06-20 20:20:30 192.0 18.387200000000004 0.0 0.0 0.0
190 2025-06-20 20:20:31 193.0 18.387200000000004 0.0 0.0 0.0
191 2025-06-20 20:20:32 194.0 18.387200000000004 0.0 0.0 0.0
192 2025-06-20 20:20:33 195.0 18.387200000000004 0.0 0.0 0.0
193 2025-06-20 20:20:34 196.0 18.387200000000004 0.0 0.0 0.0
194 2025-06-20 20:20:35 197.0 18.387200000000004 0.0 0.0 0.0
195 2025-06-20 20:20:36 198.0 18.387200000000004 0.0 0.0 0.0
196 2025-06-20 20:20:37 199.0 18.387200000000004 0.0 0.0 0.0
197 2025-06-20 20:20:38 200.0 18.387200000000004 0.0 0.0 0.0
198 2025-06-20 20:20:39 201.0 18.387200000000004 0.0 0.0 0.0
199 2025-06-20 20:20:40 202.0 18.387200000000004 0.0 0.0 0.0
200 2025-06-20 20:20:41 203.0 18.387200000000004 0.0 0.0 0.0
201 2025-06-20 20:20:42 204.0 18.387200000000004 0.0 0.0 0.0
202 2025-06-20 20:20:43 205.0 18.387200000000004 0.0 0.0 0.0
203 2025-06-20 20:20:44 206.0 18.387200000000004 0.0 0.0 0.0
204 2025-06-20 20:20:45 207.0 18.387200000000004 0.0 0.0 0.0
205 2025-06-20 20:20:46 208.0 18.387200000000004 0.0 0.0 0.0
206 2025-06-20 20:20:47 209.0 18.387200000000004 0.0 0.0 0.0
207 2025-06-20 20:20:48 210.0 18.387200000000004 0.0 0.0 0.0
208 2025-06-20 20:20:49 211.0 18.387200000000004 0.0 0.0 0.0
209 2025-06-20 20:20:50 212.0 18.387200000000004 0.0 0.0 0.0
210 2025-06-20 20:20:51 213.0 18.387200000000004 0.0 0.0 0.0
211 2025-06-20 20:20:52 214.0 19.692800000000005 0.7680000000000001 0.38400000000000006 0.15360000000000004
212 2025-06-20 20:20:53 215.0 19.692800000000005 0.0 0.0 0.0
213 2025-06-20 20:20:54 216.0 19.692800000000005 0.0 0.0 0.0
214 2025-06-20 20:20:55 217.0 19.692800000000005 0.0 0.0 0.0
215 2025-06-20 20:20:56 218.0 19.692800000000005 0.0 0.0 0.0
216 2025-06-20 20:20:57 219.0 19.692800000000005 0.0 0.0 0.0
217 2025-06-20 20:20:58 220.0 19.692800000000005 0.0 0.0 0.0
218 2025-06-20 20:20:59 221.0 19.692800000000005 0.0 0.0 0.0
219 2025-06-20 20:21:00 222.0 19.692800000000005 0.0 0.0 0.0
220 2025-06-20 20:21:01 223.0 19.692800000000005 0.0 0.0 0.0
221 2025-06-20 20:21:02 224.0 19.692800000000005 0.0 0.0 0.0
222 2025-06-20 20:21:03 225.0 19.692800000000005 0.0 0.0 0.0
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@ -1,78 +1,41 @@
timestamp,portfolio_value
2025-06-20 13:11:17,100000.0
2025-06-20 13:11:18,100000.0
2025-06-20 13:11:19,100000.0
2025-06-20 13:11:20,100000.0
2025-06-20 13:11:21,99990.39999999106
2025-06-20 13:11:22,100000.0
2025-06-20 13:11:23,100000.0
2025-06-20 13:11:24,99990.39999999106
2025-06-20 13:11:25,99990.39999999106
2025-06-20 13:11:26,100000.0
2025-06-20 13:11:27,99990.39999999106
2025-06-20 13:11:28,99990.39999999106
2025-06-20 13:11:29,99990.39999999106
2025-06-20 13:11:30,100000.0
2025-06-20 13:11:31,99990.39999999106
2025-06-20 13:11:32,99990.39999999106
2025-06-20 13:11:33,99990.39999999106
2025-06-20 13:11:34,100000.0
2025-06-20 13:11:35,99990.39999999106
2025-06-20 13:11:36,100000.0
2025-06-20 13:11:37,100000.0
2025-06-20 13:11:38,100000.0
2025-06-20 13:11:39,100000.0
2025-06-20 13:11:40,100000.0
2025-06-20 13:11:41,100000.0
2025-06-20 13:11:42,100000.0
2025-06-20 13:11:43,100000.0
2025-06-20 13:11:44,100000.0
2025-06-20 13:11:45,100000.0
2025-06-20 13:11:46,99990.39999999106
2025-06-20 13:11:47,99990.39999999106
2025-06-20 13:11:48,99990.39999999106
2025-06-20 13:11:49,100000.0
2025-06-20 13:11:50,100000.0
2025-06-20 13:11:51,100000.0
2025-06-20 13:11:52,100000.0
2025-06-20 13:11:53,99990.39999999106
2025-06-20 13:11:54,99990.39999999106
2025-06-20 13:11:55,100000.0
2025-06-20 13:11:56,100000.0
2025-06-20 13:11:57,100000.0
2025-06-20 13:11:58,99990.39999999106
2025-06-20 13:11:59,100000.0
2025-06-20 13:12:00,100000.0
2025-06-20 13:12:01,99990.39999999106
2025-06-20 13:12:02,100000.0
2025-06-20 13:12:03,99990.39999999106
2025-06-20 13:12:04,100000.0
2025-06-20 13:12:05,99990.39999999106
2025-06-20 13:12:08,99990.39999999106
2025-06-20 13:12:09,100000.0
2025-06-20 13:12:10,100000.0
2025-06-20 13:12:11,99990.39999999106
2025-06-20 13:12:45,99990.39999999106
2025-06-20 13:12:46,99998.07999998704
2025-06-20 13:12:47,99998.07999998704
2025-06-20 13:12:48,99998.07999998704
2025-06-20 13:12:49,99990.39999999106
2025-06-20 13:12:50,99999.99999998603
2025-06-20 13:12:51,99999.99999998603
2025-06-20 13:12:52,99990.39999999106
2025-06-20 13:12:53,99999.99999998603
2025-06-20 13:12:54,99999.99999998603
2025-06-20 13:12:55,99990.39999999106
2025-06-20 13:12:56,99999.99999998603
2025-06-20 13:12:57,99990.39999999106
2025-06-20 13:12:58,99999.99999998603
2025-06-20 13:12:59,99990.39999999106
2025-06-20 13:13:00,99990.39999999106
2025-06-20 13:13:01,99999.99999998603
2025-06-20 13:13:02,99990.39999999106
2025-06-20 13:13:03,99999.99999998603
2025-06-20 13:13:04,99999.99999998603
2025-06-20 13:13:05,99990.39999999106
2025-06-20 13:13:06,99999.99999998603
2025-06-20 13:13:07,99990.39999999106
2025-06-20 13:13:08,98078.39999999152
timestamp,time_seconds,portfolio_value
2025-06-20 20:44:07,5.0,100000
2025-06-20 20:44:08,6.0,100000
2025-06-20 20:44:09,7.0,100000
2025-06-20 20:44:10,8.0,100000
2025-06-20 20:44:11,9.0,100000
2025-06-20 20:44:12,10.0,100000
2025-06-20 20:44:13,11.0,100000
2025-06-20 20:44:14,12.0,100000
2025-06-20 20:44:15,13.0,100000
2025-06-20 20:44:16,14.0,100000
2025-06-20 20:44:17,15.0,100000
2025-06-20 20:44:18,16.0,100000
2025-06-20 20:44:19,17.0,100000
2025-06-20 20:44:20,18.0,100000
2025-06-20 20:44:21,19.0,100000
2025-06-20 20:44:22,20.0,100000
2025-06-20 20:44:23,21.0,100000
2025-06-20 20:44:24,22.0,100000
2025-06-20 20:44:25,23.0,100000
2025-06-20 20:44:26,24.0,100000
2025-06-20 20:44:27,25.0,100000
2025-06-20 20:44:28,26.0,100000
2025-06-20 20:44:29,27.0,100000
2025-06-20 20:44:30,28.0,100000
2025-06-20 20:44:31,29.0,100000
2025-06-20 20:44:32,30.0,100000
2025-06-20 20:44:33,31.0,100000
2025-06-20 20:44:34,32.0,100000
2025-06-20 20:44:35,33.0,100000
2025-06-20 20:44:36,34.0,100000
2025-06-20 20:44:37,35.0,100000
2025-06-20 20:44:38,36.0,100000
2025-06-20 20:44:39,37.0,100000
2025-06-20 20:44:40,38.0,100000
2025-06-20 20:44:41,39.0,100000
2025-06-20 20:44:42,40.0,100000
2025-06-20 20:44:43,41.0,100000
2025-06-20 20:44:44,42.0,100000
2025-06-20 20:44:45,43.0,100000
2025-06-20 20:44:46,44.0,100000

1 timestamp time_seconds portfolio_value
2 2025-06-20 13:11:17 2025-06-20 20:44:07 5.0 100000.0 100000
3 2025-06-20 13:11:18 2025-06-20 20:44:08 6.0 100000.0 100000
4 2025-06-20 13:11:19 2025-06-20 20:44:09 7.0 100000.0 100000
5 2025-06-20 13:11:20 2025-06-20 20:44:10 8.0 100000.0 100000
6 2025-06-20 13:11:21 2025-06-20 20:44:11 9.0 99990.39999999106 100000
7 2025-06-20 13:11:22 2025-06-20 20:44:12 10.0 100000.0 100000
8 2025-06-20 13:11:23 2025-06-20 20:44:13 11.0 100000.0 100000
9 2025-06-20 13:11:24 2025-06-20 20:44:14 12.0 99990.39999999106 100000
10 2025-06-20 13:11:25 2025-06-20 20:44:15 13.0 99990.39999999106 100000
11 2025-06-20 13:11:26 2025-06-20 20:44:16 14.0 100000.0 100000
12 2025-06-20 13:11:27 2025-06-20 20:44:17 15.0 99990.39999999106 100000
13 2025-06-20 13:11:28 2025-06-20 20:44:18 16.0 99990.39999999106 100000
14 2025-06-20 13:11:29 2025-06-20 20:44:19 17.0 99990.39999999106 100000
15 2025-06-20 13:11:30 2025-06-20 20:44:20 18.0 100000.0 100000
16 2025-06-20 13:11:31 2025-06-20 20:44:21 19.0 99990.39999999106 100000
17 2025-06-20 13:11:32 2025-06-20 20:44:22 20.0 99990.39999999106 100000
18 2025-06-20 13:11:33 2025-06-20 20:44:23 21.0 99990.39999999106 100000
19 2025-06-20 13:11:34 2025-06-20 20:44:24 22.0 100000.0 100000
20 2025-06-20 13:11:35 2025-06-20 20:44:25 23.0 99990.39999999106 100000
21 2025-06-20 13:11:36 2025-06-20 20:44:26 24.0 100000.0 100000
22 2025-06-20 13:11:37 2025-06-20 20:44:27 25.0 100000.0 100000
23 2025-06-20 13:11:38 2025-06-20 20:44:28 26.0 100000.0 100000
24 2025-06-20 13:11:39 2025-06-20 20:44:29 27.0 100000.0 100000
25 2025-06-20 13:11:40 2025-06-20 20:44:30 28.0 100000.0 100000
26 2025-06-20 13:11:41 2025-06-20 20:44:31 29.0 100000.0 100000
27 2025-06-20 13:11:42 2025-06-20 20:44:32 30.0 100000.0 100000
28 2025-06-20 13:11:43 2025-06-20 20:44:33 31.0 100000.0 100000
29 2025-06-20 13:11:44 2025-06-20 20:44:34 32.0 100000.0 100000
30 2025-06-20 13:11:45 2025-06-20 20:44:35 33.0 100000.0 100000
31 2025-06-20 13:11:46 2025-06-20 20:44:36 34.0 99990.39999999106 100000
32 2025-06-20 13:11:47 2025-06-20 20:44:37 35.0 99990.39999999106 100000
33 2025-06-20 13:11:48 2025-06-20 20:44:38 36.0 99990.39999999106 100000
34 2025-06-20 13:11:49 2025-06-20 20:44:39 37.0 100000.0 100000
35 2025-06-20 13:11:50 2025-06-20 20:44:40 38.0 100000.0 100000
36 2025-06-20 13:11:51 2025-06-20 20:44:41 39.0 100000.0 100000
37 2025-06-20 13:11:52 2025-06-20 20:44:42 40.0 100000.0 100000
38 2025-06-20 13:11:53 2025-06-20 20:44:43 41.0 99990.39999999106 100000
39 2025-06-20 13:11:54 2025-06-20 20:44:44 42.0 99990.39999999106 100000
40 2025-06-20 13:11:55 2025-06-20 20:44:45 43.0 100000.0 100000
41 2025-06-20 13:11:56 2025-06-20 20:44:46 44.0 100000.0 100000
2025-06-20 13:11:57 100000.0
2025-06-20 13:11:58 99990.39999999106
2025-06-20 13:11:59 100000.0
2025-06-20 13:12:00 100000.0
2025-06-20 13:12:01 99990.39999999106
2025-06-20 13:12:02 100000.0
2025-06-20 13:12:03 99990.39999999106
2025-06-20 13:12:04 100000.0
2025-06-20 13:12:05 99990.39999999106
2025-06-20 13:12:08 99990.39999999106
2025-06-20 13:12:09 100000.0
2025-06-20 13:12:10 100000.0
2025-06-20 13:12:11 99990.39999999106
2025-06-20 13:12:45 99990.39999999106
2025-06-20 13:12:46 99998.07999998704
2025-06-20 13:12:47 99998.07999998704
2025-06-20 13:12:48 99998.07999998704
2025-06-20 13:12:49 99990.39999999106
2025-06-20 13:12:50 99999.99999998603
2025-06-20 13:12:51 99999.99999998603
2025-06-20 13:12:52 99990.39999999106
2025-06-20 13:12:53 99999.99999998603
2025-06-20 13:12:54 99999.99999998603
2025-06-20 13:12:55 99990.39999999106
2025-06-20 13:12:56 99999.99999998603
2025-06-20 13:12:57 99990.39999999106
2025-06-20 13:12:58 99999.99999998603
2025-06-20 13:12:59 99990.39999999106
2025-06-20 13:13:00 99990.39999999106
2025-06-20 13:13:01 99999.99999998603
2025-06-20 13:13:02 99990.39999999106
2025-06-20 13:13:03 99999.99999998603
2025-06-20 13:13:04 99999.99999998603
2025-06-20 13:13:05 99990.39999999106
2025-06-20 13:13:06 99999.99999998603
2025-06-20 13:13:07 99990.39999999106
2025-06-20 13:13:08 98078.39999999152

View file

@ -9,3 +9,211 @@
2025-06-20 15:13:09,093 - Exit: Price=106130.3, Profit=-1911.999999999534, Portfolio=98078.39999999152
2025-06-20 15:14:16,596 - tearing down on exception
2025-06-20 15:14:22,379 - Websocket connected
2025-06-20 15:37:18,900 - Websocket connected
2025-06-20 16:08:06,267 - tearing down on exception
2025-06-20 18:11:01,197 - Websocket connected
2025-06-20 18:14:17,602 - Enter Long: Price=104117.82, Size=0.009600000000000001, Stop=104115.62340936829
2025-06-20 18:14:17,616 - Adjust Position: New Size=0.008
2025-06-20 18:14:17,616 - Exit: Price=104102.0, Profit=-12656.000000005588, Portfolio=87343.99999999441
2025-06-20 18:14:50,079 - Enter Long: Price=104085.61, Size=0.009600000000000001, Stop=104083.92982898203
2025-06-20 18:15:06,087 - Adjust Position: New Size=0.008
2025-06-20 18:15:06,087 - Exit: Price=104079.35, Profit=-5007.999999995809, Portfolio=82335.9999999986
2025-06-20 18:15:46,185 - Enter Long: Price=104079.3, Size=0.009600000000000001, Stop=104075.39925638687
2025-06-20 18:15:56,066 - Adjust Position: New Size=0.008
2025-06-20 18:15:56,066 - Exit: Price=104074.08, Profit=-4176.000000000931, Portfolio=78159.99999999767
2025-06-20 18:16:59,092 - Enter Long: Price=103988.2, Size=0.009600000000000001, Stop=103983.01619582015
2025-06-20 18:17:00,076 - Adjust Position: New Size=0.008
2025-06-20 18:17:00,076 - Exit: Price=103980.0, Profit=-6559.999999997672, Portfolio=71600.0
2025-06-20 18:22:30,937 - Websocket connected
2025-06-20 18:22:52,811 - Websocket connected
2025-06-20 18:23:15,068 - Enter Long: Price=104028.01, Size=0.009600000000000001, Stop=104023.51181549822
2025-06-20 18:23:36,077 - Adjust Position: New Size=0.008
2025-06-20 18:23:36,078 - Exit: Price=104036.01, Profit=6400.0, Portfolio=106400.0
2025-06-20 18:24:07,067 - Enter Long: Price=104035.32, Size=0.008, Stop=104033.05569094083
2025-06-20 18:24:14,079 - Adjust Position: New Size=0.009600000000000001
2025-06-20 18:25:01,069 - Exit: Price=104199.0, Profit=157132.7999999933, Portfolio=263532.7999999933
2025-06-20 18:25:08,068 - Enter Long: Price=104209.99, Size=0.009600000000000001, Stop=104201.02302122836
2025-06-20 18:25:12,070 - Adjust Position: New Size=0.008
2025-06-20 18:25:12,070 - Exit: Price=104201.99, Profit=-6400.0, Portfolio=257132.7999999933
2025-06-20 18:25:43,069 - Enter Long: Price=104190.12, Size=0.009600000000000001, Stop=104177.36192954794
2025-06-20 18:26:20,070 - Exit: Price=104259.3, Profit=66412.80000000726, Portfolio=323545.60000000056
2025-06-20 18:27:30,081 - Enter Long: Price=104173.29, Size=0.008, Stop=104169.81691027315
2025-06-20 18:27:34,182 - Adjust Position: New Size=0.009600000000000001
2025-06-20 18:27:45,072 - Adjust Position: New Size=0.008
2025-06-20 18:27:45,072 - Exit: Price=104182.14, Profit=7080.000000004657, Portfolio=330625.6000000052
2025-06-20 18:28:59,267 - Websocket connected
2025-06-20 18:31:19,841 - Websocket connected
2025-06-20 18:31:42,051 - Enter Long: Price=104125.35, Size=0.008, Stop=104122.20203186448
2025-06-20 18:31:50,057 - Adjust Position: New Size=0.009600000000000001
2025-06-20 18:32:10,130 - Adjust Position: New Size=0.008
2025-06-20 18:32:10,132 - Exit: Price=104151.96, Reason=Stop Loss, Profit=21288.000000000466, Portfolio=121288.00000000047
2025-06-20 18:33:41,067 - Enter Long: Price=104137.71, Size=0.007680000000000001, Stop=104136.01582164752
2025-06-20 18:33:42,076 - Adjust Position: New Size=0.009600000000000001
2025-06-20 18:35:58,062 - Websocket connected
2025-06-20 18:37:44,058 - BUY: Time=1.8min, Price=104070.81, Size=0.007680000000000001, Stop=104064.0843245101
2025-06-20 18:37:45,059 - Adjust Position: New Size=0.009600000000000001
2025-06-20 18:37:57,056 - SELL: Time=2.0min, Price=104083.16, Reason=Stop Loss, Profit=11856.000000005588, Portfolio=111856.00000000559
2025-06-20 18:43:22,432 - Websocket connected
2025-06-20 18:44:31,100 - BUY: Time=01:08, Price=103850.85, Investment=$768.00, BTC=0.007395
2025-06-20 18:44:32,074 - Adjust Position: New Investment=$960.00
2025-06-20 18:44:36,059 - Adjust Position: New Investment=$640.00
2025-06-20 18:44:36,060 - SELL: Time=01:13, Price=103825.16, Reason=SMA Crossover, Profit=$-0.16
2025-06-20 18:45:24,105 - BUY: Time=02:01, Price=103764.0, Investment=$800.00, BTC=0.007710
2025-06-20 18:45:28,053 - Adjust Position: New Investment=$960.00
2025-06-20 18:46:01,054 - Adjust Position: New Investment=$800.00
2025-06-20 18:46:01,054 - SELL: Time=02:38, Price=103817.25, Reason=Stop Loss, Profit=$0.41
2025-06-20 18:46:11,061 - BUY: Time=02:48, Price=103834.0, Investment=$960.00, BTC=0.009246
2025-06-20 18:46:24,071 - Adjust Position: New Investment=$800.00
2025-06-20 18:46:24,071 - SELL: Time=03:01, Price=103830.43, Reason=Stop Loss, Profit=$-0.03
2025-06-20 18:47:18,050 - BUY: Time=03:55, Price=103750.05, Investment=$800.00, BTC=0.007711
2025-06-20 18:53:18,295 - Websocket connected
2025-06-20 18:53:44,052 - SHORT: Time=00:25, Price=103644.0, Size=$800.00, BTC=-0.007719
2025-06-20 18:53:46,109 - EXIT: Time=00:27, Price=103643.99, Reason=SMA Crossover (Short → Exit), Profit=$0.00
2025-06-20 18:54:59,051 - SHORT: Time=01:40, Price=103832.99, Size=$960.00, BTC=-0.009246
2025-06-20 18:55:02,053 - EXIT: Time=01:43, Price=103846.01, Reason=Stop Loss (Short), Profit=$-0.10
2025-06-20 18:55:04,054 - LONG: Time=01:45, Price=103859.99, Investment=$960.00, BTC=0.009243
2025-06-20 18:55:05,070 - EXIT: Time=01:46, Price=103852.92, Reason=Stop Loss (Long), Profit=$-0.05
2025-06-20 18:55:11,096 - SHORT: Time=01:52, Price=103841.4, Size=$800.00, BTC=-0.007704
2025-06-20 18:55:24,073 - EXIT: Time=02:05, Price=103841.4, Reason=SMA Crossover (Short → Exit), Profit=$0.00
2025-06-20 18:55:38,048 - SHORT: Time=02:19, Price=103860.01, Size=$800.00, BTC=-0.007703
2025-06-20 18:55:52,055 - EXIT: Time=02:33, Price=103867.99, Reason=SMA Crossover (Short → Exit), Profit=$-0.06
2025-06-20 18:56:03,055 - SHORT: Time=02:44, Price=103850.07, Size=$960.00, BTC=-0.009244
2025-06-20 18:56:21,049 - EXIT: Time=03:02, Price=103842.48, Reason=SMA Crossover (Short → Exit), Profit=$0.07
2025-06-20 18:56:51,064 - SHORT: Time=03:32, Price=103870.93, Size=$800.00, BTC=-0.007702
2025-06-20 18:56:54,846 - Websocket connected
2025-06-20 18:57:22,047 - SHORT: Time=00:27, Price=103848.28, Size=$40000.00, BTC=-0.385177
2025-06-20 18:57:34,058 - EXIT: Time=00:39, Price=103848.29, Reason=SMA Crossover (Short → Exit), Profit=$-0.00
2025-06-20 18:57:46,061 - SHORT: Time=00:51, Price=103837.32, Size=$48000.00, BTC=-0.462262
2025-06-20 18:58:09,064 - EXIT: Time=01:14, Price=103801.05, Reason=Stop Loss (Short), Profit=$16.77
2025-06-20 18:58:10,049 - LONG: Time=01:15, Price=103801.04, Investment=$40000.00, BTC=0.385353
2025-06-20 18:58:20,094 - EXIT: Time=01:25, Price=103792.22, Reason=Stop Loss (Long), Profit=$-3.40
2025-06-20 18:58:21,062 - SHORT: Time=01:26, Price=103792.22, Size=$48000.00, BTC=-0.462462
2025-06-20 18:58:22,067 - EXIT: Time=01:27, Price=103819.85, Reason=SMA Crossover (Short → Exit), Profit=$-12.78
2025-06-20 18:58:47,054 - LONG: Time=01:52, Price=103820.0, Investment=$48000.00, BTC=0.462339
2025-06-20 18:58:52,155 - EXIT: Time=01:57, Price=103756.66, Reason=SMA Crossover (Long → Exit), Profit=$-29.28
2025-06-20 18:59:14,090 - LONG: Time=02:19, Price=103729.38, Investment=$48000.00, BTC=0.462743
2025-06-20 18:59:29,049 - EXIT: Time=02:34, Price=103737.23, Reason=Stop Loss (Long), Profit=$3.63
2025-06-20 18:59:31,061 - SHORT: Time=02:36, Price=103720.0, Size=$48000.00, BTC=-0.462784
2025-06-20 18:59:51,053 - EXIT: Time=02:56, Price=103640.01, Reason=Stop Loss (Short), Profit=$37.02
2025-06-20 19:00:08,061 - SHORT: Time=03:13, Price=103651.99, Size=$48000.00, BTC=-0.463088
2025-06-20 19:00:09,048 - EXIT: Time=03:14, Price=103658.74, Reason=Stop Loss (Short), Profit=$-3.13
2025-06-20 19:00:16,062 - LONG: Time=03:21, Price=103663.33, Investment=$40000.00, BTC=0.385865
2025-06-20 19:00:21,053 - EXIT: Time=03:26, Price=103661.03, Reason=Stop Loss (Long), Profit=$-0.89
2025-06-20 19:00:24,049 - SHORT: Time=03:29, Price=103661.03, Size=$40000.00, BTC=-0.385873
2025-06-20 19:00:29,155 - EXIT: Time=03:34, Price=103663.33, Reason=Stop Loss (Short), Profit=$-0.89
2025-06-20 19:00:31,044 - LONG: Time=03:36, Price=103666.15, Investment=$48000.00, BTC=0.463025
2025-06-20 19:00:36,055 - EXIT: Time=03:41, Price=103698.04, Reason=Stop Loss (Long), Profit=$14.77
2025-06-20 19:00:47,048 - SHORT: Time=03:52, Price=103673.0, Size=$48000.00, BTC=-0.462994
2025-06-20 19:00:51,052 - EXIT: Time=03:56, Price=103705.0, Reason=Stop Loss (Short), Profit=$-14.82
2025-06-20 19:00:54,047 - LONG: Time=03:59, Price=103705.0, Investment=$40000.00, BTC=0.385709
2025-06-20 19:01:04,045 - EXIT: Time=04:09, Price=103728.97, Reason=Stop Loss (Long), Profit=$9.25
2025-06-20 19:01:22,052 - LONG: Time=04:27, Price=103737.25, Investment=$48000.00, BTC=0.462707
2025-06-20 19:01:28,133 - EXIT: Time=04:33, Price=103736.26, Reason=Stop Loss (Long), Profit=$-0.46
2025-06-20 19:01:32,048 - SHORT: Time=04:37, Price=103731.08, Size=$40000.00, BTC=-0.385612
2025-06-20 19:01:48,050 - EXIT: Time=04:53, Price=103710.9, Reason=Stop Loss (Short), Profit=$7.78
2025-06-20 19:01:53,100 - LONG: Time=04:58, Price=103740.98, Investment=$48000.00, BTC=0.462691
2025-06-20 19:01:55,049 - EXIT: Time=05:00, Price=103737.78, Reason=Stop Loss (Long), Profit=$-1.48
2025-06-20 19:02:00,044 - SHORT: Time=05:05, Price=103722.93, Size=$40000.00, BTC=-0.385643
2025-06-20 19:02:14,054 - EXIT: Time=05:19, Price=103694.0, Reason=Stop Loss (Short), Profit=$11.16
2025-06-20 19:02:51,059 - LONG: Time=05:56, Price=103740.98, Investment=$48000.00, BTC=0.462691
2025-06-20 19:03:00,052 - EXIT: Time=06:05, Price=103740.96, Reason=SMA Crossover (Long → Exit), Profit=$-0.01
2025-06-20 19:03:10,127 - LONG: Time=06:15, Price=103740.97, Investment=$48000.00, BTC=0.462691
2025-06-20 19:03:13,098 - EXIT: Time=06:18, Price=103737.25, Reason=SMA Crossover (Long → Exit), Profit=$-1.72
2025-06-20 19:03:51,092 - SHORT: Time=06:56, Price=103689.07, Size=$40000.00, BTC=-0.385769
2025-06-20 19:03:52,081 - EXIT: Time=06:57, Price=103689.07, Reason=SMA Crossover (Short → Exit), Profit=$0.00
2025-06-20 19:03:59,139 - SHORT: Time=07:04, Price=103681.94, Size=$38400.00, BTC=-0.370363
2025-06-20 19:04:02,085 - EXIT: Time=07:07, Price=103680.0, Reason=Stop Loss (Short), Profit=$0.90
2025-06-20 19:04:06,089 - LONG: Time=07:11, Price=103702.52, Investment=$48000.00, BTC=0.462862
2025-06-20 19:04:07,094 - EXIT: Time=07:12, Price=103688.85, Reason=Stop Loss (Long), Profit=$-6.33
2025-06-20 19:04:16,092 - SHORT: Time=07:21, Price=103688.85, Size=$40000.00, BTC=-0.385770
2025-06-20 19:05:23,093 - EXIT: Time=08:28, Price=103595.27, Reason=Stop Loss (Short), Profit=$36.10
2025-06-20 19:05:26,159 - LONG: Time=08:31, Price=103610.28, Investment=$40000.00, BTC=0.386062
2025-06-20 19:05:32,089 - EXIT: Time=08:37, Price=103593.13, Reason=Stop Loss (Long), Profit=$-6.62
2025-06-20 19:05:35,094 - SHORT: Time=08:40, Price=103588.01, Size=$48000.00, BTC=-0.463374
2025-06-20 19:05:44,102 - EXIT: Time=08:49, Price=103581.14, Reason=Stop Loss (Short), Profit=$3.18
2025-06-20 19:06:39,089 - LONG: Time=09:44, Price=103499.99, Investment=$48000.00, BTC=0.463768
2025-06-20 19:06:54,093 - EXIT: Time=09:59, Price=103499.9, Reason=SMA Crossover (Long → Exit), Profit=$-0.04
2025-06-20 19:07:08,041 - Websocket connected
2025-06-20 19:07:49,215 - LONG: Time=00:41, Price=103559.11, Investment=$960.00, BTC=0.009270, Costs=$1.63
2025-06-20 19:08:15,096 - EXIT: Time=01:07, Price=103594.98, Reason=SMA Crossover (Long → Exit), GrossProfit=$0.33, NetProfit=$-1.30, Costs=$1.63
2025-06-20 19:08:37,095 - LONG: Time=01:29, Price=103566.57, Investment=$800.00, BTC=0.007725, Costs=$1.36
2025-06-20 19:08:42,105 - EXIT: Time=01:34, Price=103562.25, Reason=Stop Loss (Long), GrossProfit=$-0.03, NetProfit=$-1.39, Costs=$1.36
2025-06-20 19:08:44,097 - SHORT: Time=01:36, Price=103562.26, Size=$960.00, BTC=-0.009270, Costs=$1.63
2025-06-20 19:09:01,090 - EXIT: Time=01:53, Price=103580.51, Reason=SMA Crossover (Short → Exit), GrossProfit=$-0.17, NetProfit=$-1.80, Costs=$1.63
2025-06-20 19:09:21,238 - SHORT: Time=02:12, Price=103651.25, Size=$800.00, BTC=-0.007718, Costs=$1.36
2025-06-20 21:29:41,281 - [Errno 54] Connection reset by peer - goodbye
2025-06-20 22:17:18,786 - Websocket connected
2025-06-20 22:18:05,146 - SHORT: Time=00:46, Price=103806.43, Size=$800.00, BTC=-0.007707, Costs=$1.36
2025-06-20 22:18:38,176 - EXIT: Time=01:19, Price=103566.67, Reason=SMA Crossover (Short → Exit), GrossProfit=$1.85, NetProfit=$0.49, Costs=$1.36
2025-06-20 22:18:41,163 - SHORT: Time=01:22, Price=103566.67, Size=$960.00, BTC=-0.009269, Costs=$1.63
2025-06-20 22:18:42,207 - EXIT: Time=01:23, Price=103566.67, Reason=SMA Crossover (Short → Exit), GrossProfit=$0.00, NetProfit=$-1.63, Costs=$1.63
2025-06-20 22:18:44,136 - SHORT: Time=01:25, Price=103566.67, Size=$960.00, BTC=-0.009269, Costs=$1.63
2025-06-20 22:18:46,158 - EXIT: Time=01:27, Price=103583.99, Reason=SMA Crossover (Short → Exit), GrossProfit=$-0.16, NetProfit=$-1.79, Costs=$1.63
2025-06-20 22:18:59,138 - SHORT: Time=01:40, Price=103563.64, Size=$768.00, BTC=-0.007416, Costs=$1.31
2025-06-20 22:19:32,130 - EXIT: Time=02:13, Price=103525.78, Reason=SMA Crossover (Short → Exit), GrossProfit=$0.28, NetProfit=$-1.02, Costs=$1.31
2025-06-20 22:19:38,181 - SHORT: Time=02:19, Price=103519.22, Size=$960.00, BTC=-0.009274, Costs=$1.63
2025-06-20 22:19:55,173 - EXIT: Time=02:36, Price=103519.22, Reason=SMA Crossover (Short → Exit), GrossProfit=$0.00, NetProfit=$-1.63, Costs=$1.63
2025-06-20 22:19:57,190 - SHORT: Time=02:38, Price=103519.21, Size=$960.00, BTC=-0.009274, Costs=$1.63
2025-06-20 22:20:24,148 - EXIT: Time=03:05, Price=103511.18, Reason=SMA Crossover (Short → Exit), GrossProfit=$0.07, NetProfit=$-1.56, Costs=$1.63
2025-06-20 22:20:53,144 - LONG: Time=03:34, Price=103529.96, Investment=$768.00, BTC=0.007418, Costs=$1.31
2025-06-20 22:21:07,233 - EXIT: Time=03:48, Price=103523.31, Reason=Stop Loss (Long), GrossProfit=$-0.05, NetProfit=$-1.35, Costs=$1.31
2025-06-20 22:21:08,139 - SHORT: Time=03:49, Price=103508.5, Size=$768.00, BTC=-0.007420, Costs=$1.31
2025-06-20 22:21:15,228 - EXIT: Time=03:56, Price=103521.09, Reason=Stop Loss (Short), GrossProfit=$-0.09, NetProfit=$-1.40, Costs=$1.31
2025-06-20 22:21:17,163 - LONG: Time=03:58, Price=103521.1, Investment=$800.00, BTC=0.007728, Costs=$1.36
2025-06-20 22:21:29,152 - EXIT: Time=04:10, Price=103521.1, Reason=SMA Crossover (Long → Exit), GrossProfit=$0.00, NetProfit=$-1.36, Costs=$1.36
2025-06-20 22:22:01,191 - SHORT: Time=04:42, Price=103430.0, Size=$960.00, BTC=-0.009282, Costs=$1.63
2025-06-20 22:22:15,176 - EXIT: Time=04:56, Price=103424.23, Reason=SMA Crossover (Short → Exit), GrossProfit=$0.05, NetProfit=$-1.58, Costs=$1.63
2025-06-20 22:22:40,123 - SHORT: Time=05:21, Price=103434.29, Size=$768.00, BTC=-0.007425, Costs=$1.31
2025-06-20 22:22:54,129 - EXIT: Time=05:35, Price=103434.3, Reason=SMA Crossover (Short → Exit), GrossProfit=$-0.00, NetProfit=$-1.31, Costs=$1.31
2025-06-20 22:23:00,138 - SHORT: Time=05:41, Price=103426.47, Size=$768.00, BTC=-0.007426, Costs=$1.31
2025-06-20 22:23:09,141 - EXIT: Time=05:50, Price=103434.3, Reason=Stop Loss (Short), GrossProfit=$-0.06, NetProfit=$-1.36, Costs=$1.31
2025-06-20 22:23:11,226 - LONG: Time=05:52, Price=103434.3, Investment=$960.00, BTC=0.009281, Costs=$1.63
2025-06-20 22:23:24,147 - EXIT: Time=06:05, Price=103434.29, Reason=SMA Crossover (Long → Exit), GrossProfit=$-0.00, NetProfit=$-1.63, Costs=$1.63
2025-06-20 22:23:33,140 - LONG: Time=06:14, Price=103445.98, Investment=$768.00, BTC=0.007424, Costs=$1.31
2025-06-20 22:23:51,270 - EXIT: Time=06:32, Price=103445.98, Reason=SMA Crossover (Long → Exit), GrossProfit=$0.00, NetProfit=$-1.31, Costs=$1.31
2025-06-20 22:23:52,208 - LONG: Time=06:33, Price=103445.99, Investment=$960.00, BTC=0.009280, Costs=$1.63
2025-06-20 22:24:05,132 - EXIT: Time=06:46, Price=103445.22, Reason=Stop Loss (Long), GrossProfit=$-0.01, NetProfit=$-1.64, Costs=$1.63
2025-06-20 22:24:06,145 - SHORT: Time=06:47, Price=103445.23, Size=$960.00, BTC=-0.009280, Costs=$1.63
2025-06-20 22:24:30,181 - EXIT: Time=07:11, Price=103444.0, Reason=SMA Crossover (Short → Exit), GrossProfit=$0.01, NetProfit=$-1.62, Costs=$1.63
2025-06-20 22:24:38,192 - SHORT: Time=07:19, Price=103444.0, Size=$800.00, BTC=-0.007734, Costs=$1.36
2025-06-20 22:24:39,179 - EXIT: Time=07:20, Price=103444.0, Reason=SMA Crossover (Short → Exit), GrossProfit=$0.00, NetProfit=$-1.36, Costs=$1.36
2025-06-20 22:25:09,200 - LONG: Time=07:50, Price=103452.42, Investment=$960.00, BTC=0.009280, Costs=$1.63
2025-06-20 22:25:41,209 - EXIT: Time=08:22, Price=103482.02, Reason=SMA Crossover (Long → Exit), GrossProfit=$0.27, NetProfit=$-1.36, Costs=$1.63
2025-06-20 22:26:24,176 - LONG: Time=09:05, Price=103508.47, Investment=$768.00, BTC=0.007420, Costs=$1.31
2025-06-20 22:26:59,210 - EXIT: Time=09:40, Price=103558.44, Reason=SMA Crossover (Long → Exit), GrossProfit=$0.37, NetProfit=$-0.93, Costs=$1.31
2025-06-20 22:27:17,216 - LONG: Time=09:58, Price=103552.49, Investment=$800.00, BTC=0.007726, Costs=$1.36
2025-06-20 22:27:38,141 - EXIT: Time=10:19, Price=103552.6, Reason=SMA Crossover (Long → Exit), GrossProfit=$0.00, NetProfit=$-1.36, Costs=$1.36
2025-06-20 22:27:43,125 - LONG: Time=10:24, Price=103552.61, Investment=$800.00, BTC=0.007726, Costs=$1.36
2025-06-20 22:27:48,124 - EXIT: Time=10:29, Price=103552.6, Reason=SMA Crossover (Long → Exit), GrossProfit=$-0.00, NetProfit=$-1.36, Costs=$1.36
2025-06-20 22:27:58,125 - LONG: Time=10:39, Price=103552.61, Investment=$800.00, BTC=0.007726, Costs=$1.36
2025-06-20 22:28:22,135 - EXIT: Time=11:03, Price=103567.2, Reason=SMA Crossover (Long → Exit), GrossProfit=$0.11, NetProfit=$-1.25, Costs=$1.36
2025-06-20 22:28:55,126 - SHORT: Time=11:36, Price=103553.36, Size=$960.00, BTC=-0.009271, Costs=$1.63
2025-06-20 22:28:56,213 - EXIT: Time=11:37, Price=103553.37, Reason=SMA Crossover (Short → Exit), GrossProfit=$-0.00, NetProfit=$-1.63, Costs=$1.63
2025-06-20 22:29:06,150 - SHORT: Time=11:47, Price=103553.36, Size=$960.00, BTC=-0.009271, Costs=$1.63
2025-06-20 22:29:07,160 - EXIT: Time=11:48, Price=103558.53, Reason=SMA Crossover (Short → Exit), GrossProfit=$-0.05, NetProfit=$-1.68, Costs=$1.63
2025-06-20 22:29:15,765 - Websocket connected
2025-06-20 22:29:31,139 - SHORT: Time=00:15, Price=103565.79, Size=$960.00, BTC=-0.009269, Costs=$1.63
2025-06-20 22:29:34,137 - EXIT: Time=00:18, Price=103579.32, Reason=SMA Crossover (Short → Exit), GrossProfit=$-0.13, NetProfit=$-1.76, Costs=$1.63
2025-06-20 22:30:02,125 - LONG: Time=00:46, Price=103591.09, Investment=$768.00, BTC=0.007414, Costs=$1.31
2025-06-20 22:30:25,143 - EXIT: Time=01:09, Price=103620.0, Reason=SMA Crossover (Long → Exit), GrossProfit=$0.21, NetProfit=$-1.09, Costs=$1.31
2025-06-20 22:30:40,140 - SHORT: Time=01:24, Price=103626.39, Size=$800.00, BTC=-0.007720, Costs=$1.36
2025-06-20 22:30:44,164 - EXIT: Time=01:28, Price=103626.4, Reason=SMA Crossover (Short → Exit), GrossProfit=$-0.00, NetProfit=$-1.36, Costs=$1.36
2025-06-20 22:30:53,167 - SHORT: Time=01:37, Price=103626.39, Size=$800.00, BTC=-0.007720, Costs=$1.36
2025-06-20 22:30:58,148 - EXIT: Time=01:42, Price=103626.4, Reason=SMA Crossover (Short → Exit), GrossProfit=$-0.00, NetProfit=$-1.36, Costs=$1.36
2025-06-20 22:31:02,130 - SHORT: Time=01:46, Price=103626.4, Size=$800.00, BTC=-0.007720, Costs=$1.36
2025-06-20 22:31:05,127 - EXIT: Time=01:49, Price=103632.62, Reason=SMA Crossover (Short → Exit), GrossProfit=$-0.05, NetProfit=$-1.41, Costs=$1.36
2025-06-20 22:31:30,243 - SHORT: Time=02:14, Price=103642.57, Size=$960.00, BTC=-0.009263, Costs=$1.63
2025-06-20 22:31:42,221 - EXIT: Time=02:26, Price=103648.93, Reason=SMA Crossover (Short → Exit), GrossProfit=$-0.06, NetProfit=$-1.69, Costs=$1.63
2025-06-20 22:31:50,152 - SHORT: Time=02:34, Price=103628.84, Size=$768.00, BTC=-0.007411, Costs=$1.31
2025-06-20 22:32:04,220 - EXIT: Time=02:48, Price=103633.35, Reason=SMA Crossover (Short → Exit), GrossProfit=$-0.03, NetProfit=$-1.34, Costs=$1.31
2025-06-20 22:32:39,139 - LONG: Time=03:23, Price=103648.93, Investment=$768.00, BTC=0.007410, Costs=$1.31
2025-06-20 22:32:53,167 - EXIT: Time=03:37, Price=103648.93, Reason=SMA Crossover (Long → Exit), GrossProfit=$0.00, NetProfit=$-1.31, Costs=$1.31
2025-06-20 22:32:57,285 - LONG: Time=03:41, Price=103648.93, Investment=$960.00, BTC=0.009262, Costs=$1.63
2025-06-20 22:33:01,167 - EXIT: Time=03:45, Price=103648.92, Reason=SMA Crossover (Long → Exit), GrossProfit=$-0.00, NetProfit=$-1.63, Costs=$1.63
2025-06-20 22:44:02,605 - Websocket connected
2025-06-20 22:44:51,649 - Websocket connected
2025-06-20 22:57:06,221 - Websocket connected
2025-06-20 23:06:20,955 - Websocket connected
2025-06-20 23:15:25,361 - Websocket connected
2025-06-20 23:19:04,482 - Websocket connected
2025-06-20 23:19:39,818 - Websocket connected

View file

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import websocket
import json
import pandas as pd
import numpy as np
from ta.trend import SMAIndicator
from ta.momentum import RSIIndicator
from ta.volatility import AverageTrueRange
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
import matplotlib.dates as mdates
import logging
import time
from datetime import timedelta, datetime
# Setup logging
logging.basicConfig(filename='trade_log.txt', level=logging.INFO, format='%(asctime)s - %(message)s')
# Strategy parameters
initial_capital = 100000
base_size = 0.01 # 1% of portfolio
risk_per_trade = 0.01 # 1% risk
simulation_duration = 600 # 10 minutes in seconds
buffer_threshold = 0.1 # 10% buffer for position changes
ticker = "BTC/USDT"
# TRADING COSTS - Realistic exchange fees
maker_fee = 0.001 # 0.1% maker fee (limit orders)
taker_fee = 0.001 # 0.1% taker fee (market orders)
spread_cost = 0.0005 # 0.05% bid-ask spread cost
slippage_cost = 0.0002 # 0.02% slippage on market orders
# Data storage
data = []
position_dollars = 0 # Position size in dollars (positive = long, negative = short)
btc_units = 0 # Actual BTC units (positive = owned, negative = borrowed/short)
entry_price = 0
stop_loss = 0
trailing_stop = 0
highest_price = 0 # For long positions
lowest_price = 0 # For short positions
portfolio_value = initial_capital
cumulative_costs = 0 # Track all trading costs
trade_log = []
cost_log = [] # Track costs over time
entries = []
exits = []
df_global = pd.DataFrame()
start_time = None # Will be set when first data arrives
current_price_base = None # For price scaling
# Plot setup - WHITE BACKGROUND with 3 panels
plt.style.use('default') # Use default (white) background
fig, (ax1, ax2, ax3) = plt.subplots(3, 1, figsize=(16, 12), height_ratios=[2, 1, 1])
fig.suptitle(f'Real-Time {ticker} Long/Short Strategy with Trading Costs', fontsize=16, fontweight='bold')
# Create right axis for real price
ax1_right = ax1.twinx()
# Main plot (price and SMAs)
price_line, = ax1.plot([], [], label='Price', color='blue', linewidth=2)
sma5_line, = ax1.plot([], [], label='SMA5', color='orange', linewidth=1.5)
sma15_line, = ax1.plot([], [], label='SMA15', color='green', linewidth=1.5)
stop_loss_line, = ax1.plot([], [], label='Stop Loss', color='red', linestyle='--', alpha=0.8)
trailing_stop_line, = ax1.plot([], [], label='Trailing Stop', color='purple', linestyle='--', alpha=0.8)
# Buy/Sell markers - larger and more visible
buy_scatter = ax1.scatter([], [], color='lime', marker='^', label='BUY (Long)', s=200, edgecolor='darkgreen', linewidth=2, zorder=10)
short_scatter = ax1.scatter([], [], color='orange', marker='v', label='SHORT', s=200, edgecolor='darkorange', linewidth=2, zorder=10)
close_long_scatter = ax1.scatter([], [], color='red', marker='x', label='Close Long', s=200, edgecolor='darkred', linewidth=2, zorder=10)
close_short_scatter = ax1.scatter([], [], color='cyan', marker='+', label='Close Short', s=200, edgecolor='darkcyan', linewidth=2, zorder=10)
ax1.set_ylabel('Price Change (%)', fontsize=12, fontweight='bold')
ax1_right.set_ylabel('Real Price (USDT)', fontsize=12, fontweight='bold', color='gray')
ax1.legend(loc='upper left', fontsize=10)
ax1.grid(True, alpha=0.3)
ax1.set_title('Price Chart with Long/Short Indicators', fontsize=12, fontweight='bold')
# Portfolio subplot
portfolio_line, = ax2.plot([], [], label='Portfolio Value (After Costs)', color='darkblue', linewidth=2)
portfolio_gross_line, = ax2.plot([], [], label='Portfolio Value (Before Costs)', color='lightblue', linewidth=1, linestyle='--', alpha=0.7)
ax2.axhline(y=initial_capital, color='gray', linestyle='-', alpha=0.5, label='Initial Capital')
ax2.axhline(y=initial_capital * 1.01, color='lightgreen', linestyle='--', alpha=0.7, label='+1%')
ax2.axhline(y=initial_capital * 0.99, color='lightcoral', linestyle='--', alpha=0.7, label='-1%')
ax2.set_ylabel('Portfolio Value ($)', fontsize=12, fontweight='bold')
ax2.legend(loc='upper left', fontsize=10)
ax2.grid(True, alpha=0.3)
ax2.set_title('Portfolio Performance (Net vs Gross)', fontsize=12, fontweight='bold')
# Costs subplot (NEW - 3rd panel)
costs_line, = ax3.plot([], [], label='Cumulative Costs', color='red', linewidth=2)
fees_line, = ax3.plot([], [], label='Trading Fees', color='orange', linewidth=1.5, alpha=0.8)
spread_line, = ax3.plot([], [], label='Spread Costs', color='purple', linewidth=1.5, alpha=0.8)
slippage_line, = ax3.plot([], [], label='Slippage Costs', color='brown', linewidth=1.5, alpha=0.8)
ax3.set_ylabel('Costs ($)', fontsize=12, fontweight='bold')
ax3.set_xlabel('Time (MM:SS)', fontsize=12, fontweight='bold')
ax3.legend(loc='upper left', fontsize=10)
ax3.grid(True, alpha=0.3)
ax3.set_title('Trading Costs Breakdown', fontsize=12, fontweight='bold')
def calculate_indicators(df):
"""Calculate technical indicators with proper error handling"""
try:
if len(df) >= 5:
df['sma5'] = SMAIndicator(df['close'], window=5).sma_indicator()
else:
df['sma5'] = df['close']
if len(df) >= 15:
df['sma15'] = SMAIndicator(df['close'], window=15).sma_indicator()
else:
df['sma15'] = df['close']
if len(df) >= 7:
df['rsi'] = RSIIndicator(df['close'], window=7).rsi()
df['atr'] = AverageTrueRange(df['high'], df['low'], df['close'], window=7).average_true_range()
else:
df['rsi'] = pd.Series([50] * len(df), index=df.index)
df['atr'] = pd.Series([1.0] * len(df), index=df.index)
if len(df) >= 10:
df['roc'] = df['close'].pct_change(10) * 100
else:
df['roc'] = pd.Series([0.0] * len(df), index=df.index)
except Exception as e:
print(f"Error calculating indicators: {e}")
df['sma5'] = df['close']
df['sma15'] = df['close']
df['rsi'] = pd.Series([50] * len(df), index=df.index)
df['atr'] = pd.Series([1.0] * len(df), index=df.index)
df['roc'] = pd.Series([0.0] * len(df), index=df.index)
return df
def calculate_trading_costs(trade_value, trade_type="market"):
"""Calculate all trading costs for a given trade"""
# Base trading fee (maker or taker)
fee_rate = maker_fee if trade_type == "limit" else taker_fee
trading_fee = trade_value * fee_rate
# Spread cost (always applies)
spread_cost_amount = trade_value * spread_cost
# Slippage (only for market orders)
slippage_cost_amount = trade_value * slippage_cost if trade_type == "market" else 0
total_cost = trading_fee + spread_cost_amount + slippage_cost_amount
return {
'total_cost': total_cost,
'trading_fee': trading_fee,
'spread_cost': spread_cost_amount,
'slippage_cost': slippage_cost_amount
}
def get_time_in_seconds(timestamp):
"""Convert timestamp to seconds from start"""
if start_time is None:
return 0
return (timestamp - start_time).total_seconds()
def format_time_axis(seconds):
"""Format seconds as MM:SS"""
minutes = int(seconds // 60)
secs = int(seconds % 60)
return f"{minutes:02d}:{secs:02d}"
def get_position_type():
"""Return current position type"""
if position_dollars > 0:
return "LONG"
elif position_dollars < 0:
return "SHORT"
else:
return "FLAT"
# WebSocket callback functions
def on_message(ws, message):
global data, position_dollars, btc_units, entry_price, stop_loss, trailing_stop
global highest_price, lowest_price, portfolio_value, cumulative_costs, df_global, start_time, current_price_base
try:
msg = json.loads(message)
if 'k' in msg:
kline = msg['k']
if kline['x']: # Closed candle
timestamp = pd.to_datetime(kline['t'], unit='ms')
close = float(kline['c'])
high = float(kline['h'])
low = float(kline['l'])
# Set start time on first data point
if start_time is None:
start_time = timestamp
current_price_base = close
print(f"🕐 Long/Short Strategy with Costs started at {start_time}")
print(f"💰 Base price: ${current_price_base:.2f}")
print(f"💸 Trading Costs: Maker {maker_fee*100:.1f}%, Taker {taker_fee*100:.1f}%, Spread {spread_cost*100:.2f}%, Slippage {slippage_cost*100:.2f}%")
# Calculate time in seconds from start
time_seconds = get_time_in_seconds(timestamp)
data.append({
'timestamp': timestamp,
'time_seconds': time_seconds,
'close': close,
'high': high,
'low': low
})
# Keep only last 100 data points for efficiency
data[:] = data[-100:] if len(data) > 100 else data
if len(data) > 5: # Minimum data needed
df = pd.DataFrame(data)
df = calculate_indicators(df)
df_global = df.copy() # Store for plotting
current = df.iloc[-1]
prev = df.iloc[-2] if len(df) > 1 else None
# Risk management factors
if len(df) >= 5:
atr_avg = df['atr'].rolling(5).mean().iloc[-1]
vol_factor = 0.8 if current['atr'] > 2 * atr_avg else 1.0
else:
vol_factor = 1.0
signal_factor = 1.2 if abs(current['rsi'] - 50) > 20 else 1.0 # Strong RSI signal
market_factor = 1.2 if abs(current['roc']) > 3 else (0.8 if abs(current['roc']) < 1 else 1.0)
# ENTRY LOGIC - Only when no position
if position_dollars == 0 and prev is not None and len(df) >= 15:
# LONG ENTRY: SMA5 crosses above SMA15 AND RSI > 50
if (current['sma5'] > current['sma15'] and prev['sma5'] <= prev['sma15'] and
current['rsi'] > 50):
# Calculate position size in dollars (positive = long)
gross_position = (base_size * signal_factor * vol_factor * market_factor) * initial_capital
# Calculate trading costs
costs = calculate_trading_costs(gross_position, "market") # Market order for entries
cumulative_costs += costs['total_cost']
# Net position after costs
position_dollars = gross_position
entry_price = current['close']
# Calculate actual BTC units (positive = owned)
btc_units = position_dollars / entry_price
stop_loss = entry_price - 1.5 * current['atr']
highest_price = entry_price
trailing_stop = stop_loss
entries.append((time_seconds, entry_price, 'BUY'))
# Update portfolio with costs
portfolio_value -= costs['total_cost']
print(f"🚀 LONG ENTRY: Time={format_time_axis(time_seconds)}, Price=${entry_price:.2f}")
print(f" Investment: ${position_dollars:.2f}, BTC Units: {btc_units:.6f}, Stop: ${stop_loss:.2f}")
print(f" 💸 Entry Costs: ${costs['total_cost']:.2f} (Fee: ${costs['trading_fee']:.2f}, Spread: ${costs['spread_cost']:.2f}, Slippage: ${costs['slippage_cost']:.2f})")
logging.info(f"LONG: Time={format_time_axis(time_seconds)}, Price={entry_price}, Investment=${position_dollars:.2f}, BTC={btc_units:.6f}, Costs=${costs['total_cost']:.2f}")
# Log costs
cost_log.append({
'timestamp': timestamp,
'time_seconds': time_seconds,
'cumulative_costs': cumulative_costs,
'trading_fees': costs['trading_fee'],
'spread_costs': costs['spread_cost'],
'slippage_costs': costs['slippage_cost']
})
# SHORT ENTRY: SMA5 crosses below SMA15 AND RSI < 50
elif (current['sma5'] < current['sma15'] and prev['sma5'] >= prev['sma15'] and
current['rsi'] < 50):
# Calculate position size in dollars (negative = short)
gross_position = (base_size * signal_factor * vol_factor * market_factor) * initial_capital
# Calculate trading costs
costs = calculate_trading_costs(gross_position, "market") # Market order for entries
cumulative_costs += costs['total_cost']
# Net position after costs
position_dollars = -gross_position # Negative for short
entry_price = current['close']
# Calculate actual BTC units (negative = borrowed/short)
btc_units = position_dollars / entry_price # Will be negative
stop_loss = entry_price + 1.5 * current['atr'] # Stop above entry for shorts
lowest_price = entry_price
trailing_stop = stop_loss
entries.append((time_seconds, entry_price, 'SHORT'))
# Update portfolio with costs
portfolio_value -= costs['total_cost']
print(f"🔻 SHORT ENTRY: Time={format_time_axis(time_seconds)}, Price=${entry_price:.2f}")
print(f" Short Size: ${abs(position_dollars):.2f}, BTC Units: {btc_units:.6f}, Stop: ${stop_loss:.2f}")
print(f" 💸 Entry Costs: ${costs['total_cost']:.2f} (Fee: ${costs['trading_fee']:.2f}, Spread: ${costs['spread_cost']:.2f}, Slippage: ${costs['slippage_cost']:.2f})")
logging.info(f"SHORT: Time={format_time_axis(time_seconds)}, Price={entry_price}, Size=${abs(position_dollars):.2f}, BTC={btc_units:.6f}, Costs=${costs['total_cost']:.2f}")
# Log costs
cost_log.append({
'timestamp': timestamp,
'time_seconds': time_seconds,
'cumulative_costs': cumulative_costs,
'trading_fees': costs['trading_fee'],
'spread_costs': costs['spread_cost'],
'slippage_costs': costs['slippage_cost']
})
# EXIT LOGIC
if position_dollars != 0 and len(df) >= 15:
exit_reason = ""
should_exit = False
if position_dollars > 0: # LONG EXIT
if current['sma5'] < current['sma15']:
exit_reason = "SMA Crossover (Long → Exit)"
should_exit = True
elif current['close'] < stop_loss:
exit_reason = "Stop Loss (Long)"
should_exit = True
else: # SHORT EXIT
if current['sma5'] > current['sma15']:
exit_reason = "SMA Crossover (Short → Exit)"
should_exit = True
elif current['close'] > stop_loss:
exit_reason = "Stop Loss (Short)"
should_exit = True
if should_exit:
# Calculate exit costs
trade_value = abs(position_dollars)
costs = calculate_trading_costs(trade_value, "market") # Market order for exits
cumulative_costs += costs['total_cost']
# Profit calculation (before costs):
if position_dollars > 0: # Closing long
gross_profit = (current['close'] - entry_price) * btc_units
exits.append((time_seconds, current['close'], 'CLOSE_LONG'))
print(f"🚪 CLOSE LONG: Time={format_time_axis(time_seconds)}, {exit_reason}, Price=${current['close']:.2f}")
else: # Closing short
gross_profit = (entry_price - current['close']) * abs(btc_units) # Profit when price drops
exits.append((time_seconds, current['close'], 'CLOSE_SHORT'))
print(f"🚪 CLOSE SHORT: Time={format_time_axis(time_seconds)}, {exit_reason}, Price=${current['close']:.2f}")
# Net profit after exit costs
net_profit = gross_profit - costs['total_cost']
portfolio_value += gross_profit - costs['total_cost'] # Add net profit
print(f" 💰 Gross P&L: ${gross_profit:+.2f}")
print(f" 💸 Exit Costs: ${costs['total_cost']:.2f} (Fee: ${costs['trading_fee']:.2f}, Spread: ${costs['spread_cost']:.2f}, Slippage: ${costs['slippage_cost']:.2f})")
print(f" 📊 Net P&L: ${net_profit:+.2f}, Portfolio: ${portfolio_value:,.2f}")
logging.info(f"EXIT: Time={format_time_axis(time_seconds)}, Price={current['close']}, Reason={exit_reason}, GrossProfit=${gross_profit:.2f}, NetProfit=${net_profit:.2f}, Costs=${costs['total_cost']:.2f}")
# Log costs
cost_log.append({
'timestamp': timestamp,
'time_seconds': time_seconds,
'cumulative_costs': cumulative_costs,
'trading_fees': costs['trading_fee'],
'spread_costs': costs['spread_cost'],
'slippage_costs': costs['slippage_cost']
})
# Reset position variables
position_dollars = 0
btc_units = 0
entry_price = 0
stop_loss = 0
trailing_stop = 0
highest_price = 0
lowest_price = 0
# Update portfolio tracking
if position_dollars != 0:
if position_dollars > 0: # Long position
current_btc_value = btc_units * current['close']
unrealized_pnl = current_btc_value - position_dollars
else: # Short position
unrealized_pnl = (entry_price - current['close']) * abs(btc_units)
current_portfolio_value = portfolio_value + unrealized_pnl
trade_log.append({'timestamp': timestamp, 'time_seconds': time_seconds, 'portfolio_value': current_portfolio_value})
else:
trade_log.append({'timestamp': timestamp, 'time_seconds': time_seconds, 'portfolio_value': portfolio_value})
# Always log current costs (even if no new trades)
if not cost_log or cost_log[-1]['time_seconds'] != time_seconds:
cost_log.append({
'timestamp': timestamp,
'time_seconds': time_seconds,
'cumulative_costs': cumulative_costs,
'trading_fees': 0, # No new fees
'spread_costs': 0,
'slippage_costs': 0
})
# Print status every 10 seconds
if len(data) % 10 == 0:
pos_type = get_position_type()
status_emoji = {"LONG": "📈", "SHORT": "📉", "FLAT": "⏸️"}[pos_type]
price_change = ((current['close'] - current_price_base) / current_price_base) * 100
portfolio_change = ((portfolio_value - initial_capital) / initial_capital) * 100
cost_percentage = (cumulative_costs / initial_capital) * 100
if position_dollars != 0:
if position_dollars > 0: # Long
current_btc_value = btc_units * current['close']
unrealized_pnl = current_btc_value - position_dollars
print(f"{status_emoji} {pos_type} | Time: {format_time_axis(time_seconds)} | Price: ${current['close']:.2f} ({price_change:+.2f}%)")
print(f" Investment: ${position_dollars:.2f} | Current Value: ${current_btc_value:.2f} | Unrealized P&L: ${unrealized_pnl:+.2f}")
print(f" 💸 Total Costs: ${cumulative_costs:.2f} ({cost_percentage:.3f}% of capital)")
else: # Short
unrealized_pnl = (entry_price - current['close']) * abs(btc_units)
print(f"{status_emoji} {pos_type} | Time: {format_time_axis(time_seconds)} | Price: ${current['close']:.2f} ({price_change:+.2f}%)")
print(f" Short Size: ${abs(position_dollars):.2f} | Entry: ${entry_price:.2f} | Unrealized P&L: ${unrealized_pnl:+.2f}")
print(f" 💸 Total Costs: ${cumulative_costs:.2f} ({cost_percentage:.3f}% of capital)")
else:
print(f"{status_emoji} {pos_type} | Time: {format_time_axis(time_seconds)} | Price: ${current['close']:.2f} ({price_change:+.2f}%) | Portfolio: ${portfolio_value:,.2f} ({portfolio_change:+.2f}%)")
print(f" 💸 Total Costs: ${cumulative_costs:.2f} ({cost_percentage:.3f}% of capital)")
except Exception as e:
print(f"❌ Error in on_message: {e}")
def on_error(ws, error):
print(f"❌ WebSocket Error: {error}")
def on_close(ws, close_status_code, close_msg):
print("🔌 WebSocket closed")
if trade_log:
pd.DataFrame(trade_log).to_csv('trade_log.csv', index=False)
print("💾 Trade log saved")
if cost_log:
pd.DataFrame(cost_log).to_csv('cost_log.csv', index=False)
print("💾 Cost log saved")
def on_open(ws):
print("🔗 WebSocket opened - Starting long/short trend following strategy with costs")
# Animation update function
def update_plot(frame):
global df_global, current_price_base
try:
if df_global.empty or len(df_global) == 0 or current_price_base is None:
return (price_line, sma5_line, sma15_line, stop_loss_line, trailing_stop_line,
portfolio_line, portfolio_gross_line, costs_line, fees_line, spread_line, slippage_line,
buy_scatter, short_scatter, close_long_scatter, close_short_scatter)
df = df_global.copy()
# Calculate price change percentage for left axis
df['price_change_pct'] = ((df['close'] - current_price_base) / current_price_base) * 100
df['sma5_change_pct'] = ((df['sma5'] - current_price_base) / current_price_base) * 100
df['sma15_change_pct'] = ((df['sma15'] - current_price_base) / current_price_base) * 100
# Update main plot - price change percentage
price_line.set_data(df['time_seconds'], df['price_change_pct'])
if 'sma5' in df.columns and not df['sma5'].isna().all():
sma5_line.set_data(df['time_seconds'], df['sma5_change_pct'])
else:
sma5_line.set_data([], [])
if 'sma15' in df.columns and not df['sma15'].isna().all():
sma15_line.set_data(df['time_seconds'], df['sma15_change_pct'])
else:
sma15_line.set_data([], [])
# Update markers - separate long and short entries/exits
long_entries = [(t, p) for t, p, action in entries if action == 'BUY']
short_entries = [(t, p) for t, p, action in entries if action == 'SHORT']
long_exits = [(t, p) for t, p, action in exits if action == 'CLOSE_LONG']
short_exits = [(t, p) for t, p, action in exits if action == 'CLOSE_SHORT']
if long_entries:
buy_times, buy_prices = zip(*long_entries)
buy_prices_pct = [((price - current_price_base) / current_price_base) * 100 for price in buy_prices]
buy_scatter.set_offsets(np.c_[buy_times, buy_prices_pct])
else:
buy_scatter.set_offsets(np.array([]).reshape(0, 2))
if short_entries:
short_times, short_prices = zip(*short_entries)
short_prices_pct = [((price - current_price_base) / current_price_base) * 100 for price in short_prices]
short_scatter.set_offsets(np.c_[short_times, short_prices_pct])
else:
short_scatter.set_offsets(np.array([]).reshape(0, 2))
if long_exits:
close_long_times, close_long_prices = zip(*long_exits)
close_long_prices_pct = [((price - current_price_base) / current_price_base) * 100 for price in close_long_prices]
close_long_scatter.set_offsets(np.c_[close_long_times, close_long_prices_pct])
else:
close_long_scatter.set_offsets(np.array([]).reshape(0, 2))
if short_exits:
close_short_times, close_short_prices = zip(*short_exits)
close_short_prices_pct = [((price - current_price_base) / current_price_base) * 100 for price in close_short_prices]
close_short_scatter.set_offsets(np.c_[close_short_times, close_short_prices_pct])
else:
close_short_scatter.set_offsets(np.array([]).reshape(0, 2))
# Handle trade_log for portfolio (net and gross)
if trade_log:
trade_df = pd.DataFrame(trade_log)
portfolio_line.set_data(trade_df['time_seconds'], trade_df['portfolio_value'])
# Calculate gross portfolio (before costs)
gross_portfolio = trade_df['portfolio_value'] + cumulative_costs
portfolio_gross_line.set_data(trade_df['time_seconds'], gross_portfolio)
# Handle cost_log for costs breakdown
if cost_log:
cost_df = pd.DataFrame(cost_log)
costs_line.set_data(cost_df['time_seconds'], cost_df['cumulative_costs'])
# Calculate cumulative costs by type
cost_df['cum_fees'] = cost_df['trading_fees'].cumsum()
cost_df['cum_spread'] = cost_df['spread_costs'].cumsum()
cost_df['cum_slippage'] = cost_df['slippage_costs'].cumsum()
fees_line.set_data(cost_df['time_seconds'], cost_df['cum_fees'])
spread_line.set_data(cost_df['time_seconds'], cost_df['cum_spread'])
slippage_line.set_data(cost_df['time_seconds'], cost_df['cum_slippage'])
# Fixed time scale: 0 to 600 seconds (10 minutes)
ax1.set_xlim(0, 600)
ax2.set_xlim(0, 600)
ax3.set_xlim(0, 600)
# Price scale: ±2%
ax1.set_ylim(-2, 2)
# Right axis for real prices
current_price = df['close'].iloc[-1]
price_range = current_price * 0.02 # 2%
ax1_right.set_ylim(current_price - price_range, current_price + price_range)
# Portfolio scale: initial capital ±1%
capital_range = initial_capital * 0.01 # 1%
ax2.set_ylim(initial_capital - capital_range, initial_capital + capital_range)
# Costs scale: 0 to max costs with some headroom
if cumulative_costs > 0:
ax3.set_ylim(0, cumulative_costs * 1.2)
else:
ax3.set_ylim(0, 100) # Default range
# Set tick marks for time (every minute = 60 seconds)
time_ticks = range(0, 601, 60) # 0, 60, 120, ..., 600
time_labels = [format_time_axis(t) for t in time_ticks]
for ax in [ax1, ax2, ax3]:
ax.set_xticks(time_ticks)
ax.set_xticklabels(time_labels)
# Add grid lines for better readability
ax1.grid(True, alpha=0.3)
ax2.grid(True, alpha=0.3)
ax3.grid(True, alpha=0.3)
except Exception as e:
print(f"Plot update error: {e}")
return (price_line, sma5_line, sma15_line, stop_loss_line, trailing_stop_line,
portfolio_line, portfolio_gross_line, costs_line, fees_line, spread_line, slippage_line,
buy_scatter, short_scatter, close_long_scatter, close_short_scatter)
# Run WebSocket and animation
if __name__ == "__main__":
print("🚀 Starting Enhanced Long/Short Strategy with Trading Costs")
print("📈 LONG: SMA5 crosses above SMA15 + RSI > 50")
print("📉 SHORT: SMA5 crosses below SMA15 + RSI < 50")
print("💸 Trading Costs Included:")
print(f" • Maker Fee: {maker_fee*100:.1f}%")
print(f" • Taker Fee: {taker_fee*100:.1f}%")
print(f" • Spread Cost: {spread_cost*100:.2f}%")
print(f" • Slippage Cost: {slippage_cost*100:.2f}%")
print("📊 3-Panel View: Price/SMAs, Portfolio (Net vs Gross), Trading Costs")
print("⚡ Realistic trading with all costs included!")
ws_url = "wss://stream.binance.com:9443/ws/btcusdt@kline_1s"
ws = websocket.WebSocketApp(ws_url, on_message=on_message, on_error=on_error,
on_close=on_close, on_open=on_open)
import threading
ws_thread = threading.Thread(target=ws.run_forever)
ws_thread.daemon = True
ws_thread.start()
try:
ani = FuncAnimation(fig, update_plot, interval=1000, blit=True, cache_frame_data=False)
plt.tight_layout()
plt.show()
time.sleep(simulation_duration)
except KeyboardInterrupt:
print("\n⚠️ Interrupted by user")
except Exception as e:
print(f"❌ Error: {e}")
finally:
print("🛑 Shutting down...")
ws.close()
# Print final summary with costs analysis
if entries or exits:
print(f"\n📊 LONG/SHORT TRADING SUMMARY WITH COSTS:")
long_entries_count = len([e for e in entries if e[2] == 'BUY'])
short_entries_count = len([e for e in entries if e[2] == 'SHORT'])
long_exits_count = len([e for e in exits if e[2] == 'CLOSE_LONG'])
short_exits_count = len([e for e in exits if e[2] == 'CLOSE_SHORT'])
print(f" Long Entries: {long_entries_count}")
print(f" Short Entries: {short_entries_count}")
print(f" Long Exits: {long_exits_count}")
print(f" Short Exits: {short_exits_count}")
print(f" Total Trades: {long_entries_count + short_entries_count}")
# Cost analysis
cost_percentage = (cumulative_costs / initial_capital) * 100
print(f"\n💸 COST ANALYSIS:")
print(f" Total Trading Costs: ${cumulative_costs:.2f}")
print(f" Cost as % of Capital: {cost_percentage:.3f}%")
print(f" Average Cost per Trade: ${cumulative_costs/(long_entries_count + short_entries_count):.2f}" if (long_entries_count + short_entries_count) > 0 else " No completed trades")
# Performance analysis
gross_return = ((portfolio_value + cumulative_costs - initial_capital) / initial_capital) * 100
net_return = ((portfolio_value - initial_capital) / initial_capital) * 100
print(f"\n📈 PERFORMANCE ANALYSIS:")
print(f" Gross Return (before costs): {gross_return:+.2f}%")
print(f" Net Return (after costs): {net_return:+.2f}%")
print(f" Cost Impact: {gross_return - net_return:.2f}%")
print(f" Final Portfolio: ${portfolio_value:,.2f}")
print("✅ Long/Short Strategy with Costs completed!")

View file

@ -17,7 +17,7 @@ Below are the private video links to each session of the **"Build Your Own Crypt
---
### Session 3: Data Processing & Technical Analysis
🔗 [Watch on YouTube](https://youtu.be/-K5X8LsMWM0)
🔗 [Watch on YouTube](https://youtu.be/1pbYf7H6WEQ)
---