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Which analytics software will dominate the market in the next 2 years?

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Analyse (quantitative)
Timestamp Answer option Long (for) Short (against) Shares Price % Action User IP (masked)
2021/01/24 11:19:15 T Java 10,000.00 - 23,489.74 42.57 Bought Paul Moffat 06828a2
2020/12/30 10:55:11 T Weka 1,000.00 - 7,684.96 13.01 Bought Travelling Salesman 739679bb
2020/12/30 10:53:43 T Python - 100.00 105.83 5.51 Bought Travelling Salesman 739679bb
2020/12/30 10:52:43 T MATLAB - 20.00 20.72 3.49 Bought Travelling Salesman 739679bb
2020/12/30 10:52:30 T Java 25.00 - 62.54 39.98 Bought Travelling Salesman 739679bb
2020/12/30 10:52:18 T R 10.00 - 50.81 19.68 Bought Travelling Salesman 739679bb
2020/09/25 00:31:35 T Weka 9,224.25 - 126,845.19 7.27 Bought terance hough b779948c
2020/09/25 00:31:24 T R -9,224.25 - 36,607.46 25.20 Sold terance hough b779948c
2020/09/25 00:28:14 T R 9,224.26 - 36,607.46 25.20 Bought terance hough b779948c
2020/09/24 00:11:41 T R 21.00 - 96.87 21.68 Bought Ashok Parbhu a1f11c40
2018/09/18 23:57:44 T Java - 7,762.09 14,357.43 45.94 Bought SILVIA HELENA DROSDOWSKI 30cac41b
2017/09/13 23:51:25 T Java -42,036.62 - 73,324.48 57.33 Sold Banned user eab93eb7
2017/09/01 23:50:53 T Weka -625.75 - 25,152.36 2.49 Sold Banned user lyXdzEu3
2017/09/01 23:50:28 T Weka -1,001.23 - 30,273.23 3.31 Sold Banned user lyXdzEu3
2017/09/01 23:50:02 T Weka -1,845.05 - 39,168.54 4.71 Sold Banned user lyXdzEu3
2017/09/01 23:49:39 T Weka -4,491.33 - 58,444.53 7.68 Sold Banned user lyXdzEu3
2017/09/01 23:49:09 T Java 37,873.02 - 73,324.48 51.65 Bought Banned user lyXdzEu3
2017/09/01 23:48:52 T Weka -37,873.02 - 137,846.00 27.47 Sold Banned user lyXdzEu3
2017/09/01 23:48:29 T Weka 10,000.00 - 25,152.36 39.76 Bought Banned user lyXdzEu3
2017/09/01 23:47:49 T Weka 10,000.00 - 30,273.23 33.03 Bought Banned user lyXdzEu3
2017/09/01 23:47:12 T Weka 10,000.00 - 39,168.54 25.53 Bought Banned user lyXdzEu3
2017/09/01 23:46:24 T Weka 10,000.00 - 58,444.53 17.11 Bought Banned user lyXdzEu3
2017/09/01 23:44:48 T Weka 10,000.00 - 137,846.00 7.25 Bought Banned user lyXdzEu3
2016/12/02 23:37:05 T Java 10,000.00 - 22,267.92 44.91 Bought Harwant Dhaliwal T5Tx2vHP
2016/10/02 08:38:36 T Java 10,000.00 - 25,795.57 38.77 Bought Matt Redfern 6x7HDz3A
2016/07/03 14:07:34 T Java 10,000.00 - 31,320.54 31.93 Bought Richard Blech Zb9ofbpK
2016/05/07 04:50:55 T Java 4,998.52 - 18,894.85 26.45 Bought Khoirul Mukhadas 7#abUTKJ
2016/04/17 13:18:39 T Java 1,916.94 - 8,063.20 23.77 Bought wael sharaby Lt9Pyr2I
2016/04/14 10:59:58 T Weka - 3,997.00 4,212.48 5.12 Bought Huang Zhensheng jCY#kqJe
2016/04/14 10:59:48 T R 5,000.00 - 17,965.39 27.83 Bought Huang Zhensheng jCY#kqJe
2016/04/14 10:59:21 T Weka - 1,000.00 1,058.60 5.54 Bought Huang Zhensheng jCY#kqJe
2016/02/24 15:06:57 T Java - 1,000.00 1,321.22 24.31 Bought Tvrtko Majstorovic lNTiHAS3
2016/02/24 15:06:46 T Python 1,000.00 - 12,087.81 8.27 Bought Tvrtko Majstorovic lNTiHAS3
2016/02/22 05:53:58 T R 9,900.00 - 45,233.27 21.89 Bought Sachin Garg itJnRL1Z
2016/02/22 04:26:18 T R 1,000.00 - 5,691.64 17.57 Bought Player conceded EJnGdbdb
2016/02/22 03:00:05 T SAS 99.93 - 1,280.60 7.80 Bought Santhosh Pathmanathan itJnRL1Z
2016/02/22 02:58:34 T Python -18.18 - 207.48 8.76 Sold Sunay Mruthyunjay itJnRL1Z
2016/02/22 02:58:25 T SAS 400.00 - 5,293.41 7.56 Bought Santhosh Pathmanathan itJnRL1Z
2016/02/22 02:58:23 T R -56.13 - 325.40 17.25 Sold Sunay Mruthyunjay itJnRL1Z
2016/02/22 02:57:46 T Python 75.00 - 855.22 8.77 Bought Nithila AP yadav mclNP8yn
2016/02/22 02:56:00 T Java - -10.58 -14.67 27.87 Sold TUSHAR KANT 4DkRLI93
2016/02/22 02:54:54 T C/C++/C# 10.00 - 158.08 6.33 Bought Neelima Watve itJnRL1Z
2016/02/22 02:54:51 T R 65.00 - 376.54 17.26 Bought Mridul Nath mclNP8yn
2016/02/22 02:54:29 T R 1,000.01 - 5,955.03 16.79 Bought TUSHAR KANT 4DkRLI93
2016/02/22 02:54:21 T MATLAB -702.72 - 10,438.45 6.73 Sold TUSHAR KANT 4DkRLI93
2016/02/22 02:54:18 T R 800.00 - 5,037.79 15.88 Bought Santhosh Pathmanathan itJnRL1Z
2016/02/22 02:54:13 T Python 75.00 - 851.64 8.81 Bought Prabhat Agarwal itJnRL1Z
2016/02/22 02:54:07 T SPSS -985.26 - 12,770.23 7.72 Sold TUSHAR KANT 4DkRLI93
2016/02/22 02:54:00 T R -9.84 - 64.01 15.37 Sold Richa Saini j2Tac0Ip
2016/02/22 02:53:41 T R 50.00 - 325.40 15.37 Bought Sunay Mruthyunjay itJnRL1Z
2016/02/22 02:53:36 T SAS 1,000.00 - 14,519.39 6.89 Bought pioneer dscientist mclNP8yn
2016/02/22 02:53:28 T R -65.43 - 421.19 15.53 Sold Richa Saini j2Tac0Ip
2016/02/22 02:53:24 T R 8,022.53 - 69,811.92 11.49 Bought TUSHAR KANT 4DkRLI93
2016/02/22 02:53:20 T R 50.00 - 617.83 8.09 Bought Vidhya Vaithiyanathan itJnRL1Z
2016/02/22 02:53:19 T SPSS 1,000.00 - 11,718.10 8.53 Bought pioneer dscientist mclNP8yn
2016/02/22 02:53:13 T Python 20.00 - 207.48 9.64 Bought Sunay Mruthyunjay itJnRL1Z
2016/02/22 02:53:09 T Python 1,000.00 - 10,936.09 9.14 Bought pioneer dscientist mclNP8yn
2016/02/22 02:53:03 T Python 74.44 - 861.86 8.64 Bought Jai Dev itJnRL1Z
2016/02/22 02:52:51 T Python 74.00 - 863.92 8.57 Bought Mridul Nath mclNP8yn
2016/02/22 02:52:49 T R 1,000.00 - 12,886.69 7.76 Bought pioneer dscientist mclNP8yn
2016/02/22 02:52:45 T Python 70.00 - 815.22 8.59 Bought Vidhya Vaithiyanathan itJnRL1Z
2016/02/22 02:52:44 T Python 74.40 - 873.54 8.52 Bought Madhusudanan Na itJnRL1Z
2016/02/22 02:52:40 T R 40.03 - 550.25 7.27 Bought Richa Saini j2Tac0Ip
2016/02/22 02:52:40 T R - -40.02 -43.16 7.27 Sold Richa Saini j2Tac0Ip
2016/02/22 02:52:08 T Java - 10.00 14.67 31.83 Bought TUSHAR KANT 4DkRLI93
2016/02/22 02:52:08 T Java -32.53 - 102.17 31.84 Sold TUSHAR KANT 4DkRLI93
2016/02/22 02:50:44 T MATLAB 800.00 - 10,438.45 7.66 Bought TUSHAR KANT 4DkRLI93
2016/02/22 02:50:44 T R - 40.00 43.16 7.31 Bought Richa Saini j2Tac0Ip
2016/02/22 02:50:44 T R -43.50 - 593.12 7.33 Sold Richa Saini j2Tac0Ip
2016/02/22 02:50:31 T SPSS 1,000.00 - 12,770.23 7.83 Bought TUSHAR KANT 4DkRLI93
2016/02/22 02:50:26 T Java - 32.44 48.02 32.45 Bought Neelima Watve itJnRL1Z
2016/02/22 02:50:11 T Java -9,800.00 - 27,432.79 35.72 Sold TUSHAR KANT 4DkRLI93
2016/02/22 02:49:38 T Python 1,000.00 - 13,712.40 7.29 Bought Narayana Pattipati mclNP8yn
2016/02/22 02:49:23 T R 7.44 - 109.88 6.77 Bought Jai Dev itJnRL1Z
2016/02/22 02:49:10 T R 6.77 - 100.09 6.76 Bought Neelima Watve itJnRL1Z
2016/02/22 02:48:41 T Python 6.82 - 100.12 6.81 Bought Neelima Watve itJnRL1Z
2016/02/22 02:48:13 T Java 100.00 - 253.34 39.47 Bought Sachin Garg itJnRL1Z
2016/02/22 02:47:06 T R 5.00 - 73.90 6.77 Bought Anshul Dubey mclNP8yn
2016/02/22 02:47:01 T R 20.00 - 296.03 6.76 Bought Richa Saini j2Tac0Ip
2016/02/22 02:47:00 T R 10.00 - 148.39 6.74 Bought Avinash Garg itJnRL1Z
2016/02/22 02:46:47 T Java 5.00 - 12.67 39.45 Bought Narayana Pattipati mclNP8yn
2016/02/22 02:46:44 T Python 100.00 - 1,477.21 6.77 Bought Swami Rajagopalan mclNP8yn
2016/02/22 02:46:35 T R 11.98 - 177.74 6.74 Bought Richa Saini j2Tac0Ip
2016/02/22 02:46:28 T Java - 500.00 827.86 39.60 Bought Nithya Mohan itJnRL1Z
2016/02/22 02:46:05 T R 4.00 - 59.66 6.70 Bought Richa Saini j2Tac0Ip
2016/02/22 02:45:44 T R 4.00 - 59.69 6.70 Bought Richa Saini j2Tac0Ip
2016/02/22 02:45:11 T Java 10,000.00 - 27,534.96 36.32 Bought TUSHAR KANT 4DkRLI93
2016/02/21 06:31:39 T Java 10,000.00 - 34,249.12 29.20 Bought Hubertus Hofkirchner oMiqJZLH
2016/02/20 17:04:27 T Java 8,083.06 - 36,503.79 22.14 Bought wael sharaby Lt9Pyr2I
2016/02/19 06:41:00 T Java 10,000.00 - 71,182.95 14.05 Bought Alfie Meier 0GaSkaOF
2016/02/19 05:44:26 T Python -1,000.58 - 9,555.32 10.47 Sold Madhusudanan Na ChAAq1Kx
2016/02/19 04:14:04 T Java - 500.00 554.75 9.87 Bought Madhusudanan Na MAmDvGY4
2016/02/19 04:10:19 T Python 1,000.00 - 9,555.32 10.47 Bought Madhusudanan Na MAmDvGY4
O=Opening valuation, M=Market valuation, C=Closing valuation, T=Trade, R=Reversal, S=Settlement
Timestamp Python R SAS SPSS C/C++/C# Java MATLAB Minitab Weka Other
2021/01/24 11:19:15 4.90 17.53 3.88 3.52 3.11 45.61 3.11 3.11 12.13 3.11
2020/12/30 10:55:11 5.45 19.48 4.31 3.91 3.46 39.57 3.45 3.45 13.48 3.45
2020/12/30 10:53:43 5.51 19.68 4.36 3.95 3.49 39.99 3.49 3.49 12.56 3.49
2020/12/30 10:52:43 5.51 19.68 4.36 3.95 3.49 39.99 3.49 3.49 12.56 3.49
2020/12/30 10:52:30 5.51 19.68 4.36 3.95 3.49 39.99 3.49 3.49 12.56 3.49
2020/12/30 10:52:18 5.51 19.69 4.36 3.95 3.50 39.97 3.49 3.49 12.56 3.49
2020/09/25 00:31:35 5.51 19.68 4.36 3.95 3.50 39.97 3.49 3.49 12.56 3.49
2020/09/25 00:31:24 6.08 21.69 4.80 4.35 3.85 44.05 3.85 3.85 3.64 3.85
2020/09/25 00:28:14 5.51 28.94 4.36 3.95 3.50 39.97 3.49 3.49 3.30 3.49
2020/09/24 00:11:41 6.08 21.69 4.80 4.35 3.85 44.05 3.85 3.85 3.64 3.85
2018/09/18 23:57:44 6.08 21.67 4.80 4.35 3.85 44.06 3.85 3.85 3.64 3.85
2017/09/13 23:51:25 5.67 20.21 4.48 4.06 3.59 47.82 3.59 3.59 3.39 3.59
2017/09/01 23:50:53 3.64 12.98 2.88 2.61 2.31 66.49 2.30 2.30 2.18 2.30
2017/09/01 23:50:28 3.62 12.90 2.86 2.59 2.29 66.05 2.29 2.29 2.82 2.29
2017/09/01 23:50:02 3.58 12.76 2.83 2.56 2.27 65.36 2.27 2.27 3.84 2.27
2017/09/01 23:49:39 3.51 12.52 2.77 2.51 2.23 64.10 2.22 2.22 5.69 2.22
2017/09/01 23:49:09 3.35 11.94 2.65 2.40 2.12 61.14 2.12 2.12 10.05 2.12
2017/09/01 23:48:52 4.99 17.79 3.94 3.57 3.16 42.08 3.16 3.16 14.98 3.16
2017/09/01 23:48:29 3.35 11.94 2.65 2.40 2.12 28.24 2.12 2.12 42.96 2.12
2017/09/01 23:47:49 3.72 13.26 2.94 2.66 2.36 31.37 2.35 2.35 36.62 2.35
2017/09/01 23:47:12 4.13 14.74 3.27 2.96 2.62 34.86 2.62 2.62 29.57 2.62
2017/09/01 23:46:24 4.59 16.37 3.63 3.29 2.91 38.73 2.91 2.91 21.75 2.91
2017/09/01 23:44:48 5.10 18.19 4.03 3.65 3.24 43.04 3.23 3.23 13.06 3.23
2016/12/02 23:37:05 5.67 20.21 4.48 4.06 3.59 47.82 3.59 3.59 3.39 3.59
2016/10/02 08:38:36 6.30 22.46 4.98 4.51 3.99 42.02 3.99 3.99 3.77 3.99
2016/07/03 14:07:34 7.00 24.96 5.53 5.01 4.44 35.58 4.43 4.43 4.19 4.43
2016/05/07 04:50:55 7.78 27.73 6.15 5.57 4.93 28.42 4.92 4.92 4.66 4.92
2016/04/17 13:18:39 8.20 29.23 6.48 5.87 5.20 24.55 5.19 5.19 4.91 5.19
2016/04/14 10:59:58 8.37 29.83 6.61 5.99 5.30 23.01 5.29 5.29 5.01 5.29
2016/04/14 10:59:48 8.35 29.76 6.60 5.98 5.29 22.96 5.28 5.28 5.22 5.28
2016/04/14 10:59:21 8.80 25.96 6.95 6.30 5.58 24.20 5.57 5.57 5.51 5.57
2016/02/24 15:06:57 8.79 25.94 6.95 6.30 5.57 24.18 5.56 5.56 5.56 5.56
2016/02/24 15:06:46 8.76 25.85 6.93 6.27 5.56 24.44 5.55 5.55 5.55 5.55
2016/02/22 05:53:58 7.80 26.13 7.00 6.34 5.61 24.70 5.60 5.60 5.60 5.60
2016/02/22 04:26:18 8.66 18.01 7.77 7.04 6.23 27.42 6.22 6.22 6.22 6.22
2016/02/22 03:00:05 8.75 17.14 7.85 7.11 6.30 27.71 6.29 6.29 6.29 6.29
2016/02/22 02:58:34 8.76 17.16 7.75 7.12 6.30 27.73 6.29 6.29 6.29 6.29
2016/02/22 02:58:25 8.77 17.15 7.75 7.12 6.30 27.73 6.29 6.29 6.29 6.29
2016/02/22 02:57:46 8.81 17.27 7.36 7.14 6.33 27.83 6.32 6.32 6.32 6.32
2016/02/22 02:56:00 8.73 17.29 7.36 7.15 6.33 27.85 6.32 6.32 6.32 6.32
2016/02/22 02:54:54 8.73 17.29 7.37 7.15 6.33 27.85 6.32 6.32 6.32 6.32
2016/02/22 02:54:51 8.73 17.29 7.37 7.15 6.32 27.85 6.32 6.32 6.32 6.32
2016/02/22 02:54:29 8.74 17.23 7.37 7.16 6.33 27.87 6.33 6.33 6.33 6.33
2016/02/22 02:54:21 8.83 16.36 7.45 7.23 6.39 28.17 6.39 6.39 6.39 6.39
2016/02/22 02:54:18 8.77 16.24 7.39 7.18 6.35 27.96 7.08 6.35 6.35 6.35
2016/02/22 02:54:13 8.84 15.53 7.46 7.24 6.40 28.20 7.14 6.40 6.40 6.40
2016/02/22 02:54:07 8.77 15.54 7.46 7.25 6.40 28.22 7.15 6.40 6.40 6.40
2016/02/22 02:54:00 8.68 15.38 7.39 8.20 6.34 27.93 7.07 6.34 6.34 6.34
2016/02/22 02:53:41 8.68 15.39 7.38 8.20 6.34 27.92 7.07 6.34 6.34 6.34
2016/02/22 02:53:36 8.68 15.34 7.39 8.21 6.34 27.94 7.08 6.34 6.34 6.34
2016/02/22 02:53:28 8.78 15.51 6.41 8.29 6.41 28.23 7.15 6.41 6.41 6.41
2016/02/22 02:53:24 8.77 15.56 6.40 8.29 6.40 28.21 7.15 6.40 6.40 6.40
2016/02/22 02:53:20 9.54 8.12 6.97 9.02 6.97 30.70 7.78 6.97 6.97 6.97
2016/02/22 02:53:13 9.65 8.15 7.05 8.06 7.05 31.04 7.86 7.05 7.05 7.05
2016/02/22 02:53:09 9.63 8.16 7.05 8.06 7.05 31.05 7.87 7.05 7.05 7.05
2016/02/22 02:53:03 8.67 8.24 7.12 8.15 7.12 31.38 7.95 7.12 7.12 7.12
2016/02/22 02:52:51 8.60 8.25 7.13 8.15 7.13 31.40 7.96 7.13 7.13 7.13
2016/02/22 02:52:45 8.62 7.28 7.21 8.25 7.21 31.76 8.05 7.21 7.21 7.21
2016/02/22 02:52:40 8.48 7.29 7.22 8.26 7.22 31.81 8.06 7.22 7.22 7.22
2016/02/22 02:52:08 8.49 7.25 7.22 8.26 7.22 31.82 8.06 7.22 7.22 7.22
2016/02/22 02:50:44 8.48 7.25 7.22 8.26 7.22 31.85 8.06 7.22 7.22 7.22
2016/02/22 02:50:31 8.55 7.36 7.28 8.33 7.28 32.10 7.28 7.28 7.28 7.28
2016/02/22 02:50:26 8.64 7.43 7.35 7.35 7.35 32.45 7.35 7.35 7.35 7.35
2016/02/22 02:50:11 8.64 7.43 7.35 7.35 7.35 32.46 7.35 7.35 7.35 7.35
2016/02/22 02:49:38 7.79 6.70 6.63 6.63 6.63 39.08 6.63 6.63 6.63 6.63
2016/02/22 02:49:23 6.81 6.77 6.70 6.70 6.70 39.50 6.70 6.70 6.70 6.70
2016/02/22 02:49:10 6.81 6.77 6.70 6.70 6.70 39.50 6.70 6.70 6.70 6.70
2016/02/22 02:48:41 6.82 6.76 6.70 6.70 6.70 39.50 6.70 6.70 6.70 6.70
2016/02/22 02:48:13 6.81 6.76 6.70 6.70 6.70 39.50 6.70 6.70 6.70 6.70
2016/02/22 02:47:06 6.82 6.77 6.71 6.71 6.71 39.44 6.71 6.71 6.71 6.71
2016/02/22 02:47:01 6.82 6.76 6.71 6.71 6.71 39.44 6.71 6.71 6.71 6.71
2016/02/22 02:46:47 6.82 6.73 6.71 6.71 6.71 39.46 6.71 6.71 6.71 6.71
2016/02/22 02:46:44 6.82 6.73 6.71 6.71 6.71 39.45 6.71 6.71 6.71 6.71
2016/02/22 02:46:35 6.72 6.74 6.72 6.72 6.72 39.49 6.72 6.72 6.72 6.72
2016/02/22 02:46:28 6.72 6.73 6.72 6.72 6.72 39.50 6.72 6.72 6.72 6.72
2016/02/22 02:46:05 6.70 6.71 6.70 6.70 6.70 39.71 6.70 6.70 6.70 6.70
2016/02/22 02:45:44 6.70 6.70 6.70 6.70 6.70 39.71 6.70 6.70 6.70 6.70
2016/02/22 02:45:11 6.70 6.70 6.70 6.70 6.70 39.71 6.70 6.70 6.70 6.70
2016/02/21 06:31:39 7.44 7.44 7.44 7.44 7.44 33.01 7.44 7.44 7.44 7.44
2016/02/20 17:04:27 8.27 8.27 8.27 8.27 8.27 25.57 8.27 8.27 8.27 8.27
2016/02/19 06:41:00 9.01 9.01 9.01 9.01 9.01 18.95 9.01 9.01 9.01 9.01
2016/02/19 05:44:26 10.01 10.01 10.01 10.01 10.01 9.95 10.01 10.01 10.01 10.01
2016/02/19 04:14:04 10.95 9.90 9.90 9.90 9.90 9.84 9.90 9.90 9.90 9.90
2016/02/19 04:10:19 10.94 9.90 9.90 9.90 9.90 9.90 9.90 9.90 9.90 9.90
2016/02/19 04:04:39 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00