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https://github.com/webclinic017/drift.git
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feat(WalkForward): added regression/classification switch, archived old experiments, wrapped the process into run_whole_pipeline() (#10)
* refactor(WalkForward): cleaned up training & evaluation code * refactor: added run_whole_pipeline(), moved all previous models to archive
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time,high,low,open,close
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2017-10-09,0.03236,0.02455,0.02253,0.0288
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2017-10-10,0.0291,0.0262,0.0288,0.02786
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2017-10-11,0.03002,0.02716,0.02786,0.02845
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2017-10-12,0.02723,0.02168,0.02845,0.02267
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2017-10-13,0.02571,0.01948,0.02267,0.02455
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2017-10-14,0.02454,0.02285,0.02455,0.02414
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2017-10-15,0.02509,0.02083,0.02414,0.02381
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2017-10-16,0.02513,0.02162,0.02381,0.02238
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2017-10-17,0.02441,0.02285,0.02238,0.02353
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2017-10-18,0.0239,0.0214,0.02353,0.02186
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2017-10-19,0.02311,0.02094,0.02189,0.02163
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2017-10-20,0.02397,0.02009,0.02163,0.02067
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2017-10-21,0.02178,0.02004,0.02066,0.02168
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2017-10-22,0.02337,0.02124,0.02177,0.02201
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2017-10-23,0.02308,0.02049,0.02133,0.02157
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2017-10-24,0.02426,0.01943,0.02157,0.02243
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2017-10-25,0.02345,0.02181,0.02243,0.02226
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2017-10-26,0.02359,0.02019,0.02265,0.02194
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2017-10-27,0.02194,0.01969,0.02197,0.02165
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2017-10-28,0.02208,0.02094,0.02169,0.02208
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2017-10-29,0.02253,0.0208,0.0219,0.02177
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2017-10-30,0.02454,0.02132,0.02177,0.0238
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2017-10-31,0.02676,0.02299,0.02378,0.02434
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2017-11-01,0.02676,0.02313,0.02439,0.02389
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2017-11-02,0.02578,0.02268,0.02395,0.02403
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2017-11-03,0.02626,0.0234,0.0239,0.0261
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2017-11-04,0.03159,0.02635,0.0261,0.02983
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2017-11-05,0.0301,0.02629,0.02983,0.02799
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2017-11-06,0.02909,0.02579,0.02808,0.02884
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@@ -1490,8 +1464,8 @@ time,high,low,open,close
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2021-11-05,3.093,2.783,2.757,3.051
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2021-11-06,3.227,3.074,3.051,3.227
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2021-11-07,3.393,3.199,3.227,3.217
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2021-11-08,3.03,2.82,3.217,2.856
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2021-11-09,2.478,2.385,2.856,2.422
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2021-11-08,3.03,2.82,3.216,2.856
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2021-11-09,2.477,2.384,2.856,2.421
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2021-11-10,2.453,2.264,2.422,2.359
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2021-11-11,2.416,2.329,2.359,2.396
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2021-11-12,2.499,2.45,2.396,2.495
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@@ -1499,4 +1473,30 @@ time,high,low,open,close
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2021-11-14,2.411,2.321,2.521,2.332
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2021-11-15,2.421,2.363,2.332,2.408
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2021-11-16,2.666,2.483,2.408,2.558
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2021-11-17,2.629,2.423,2.558,2.491
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2021-11-17,2.582,2.476,2.558,2.518
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2021-11-18,2.704,2.541,2.518,2.604
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2021-11-19,2.704,2.479,2.604,2.666
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2021-11-20,2.663,2.609,2.666,2.663
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2021-11-21,2.686,2.616,2.663,2.639
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2021-11-22,2.713,2.646,2.639,2.675
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2021-11-23,2.794,2.638,2.675,2.733
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2021-11-24,2.819,2.749,2.733,2.781
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2021-11-25,2.925,2.719,2.781,2.867
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2021-11-26,3.091,2.83,2.867,3.003
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2021-11-27,3.171,3.026,3.003,3.076
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2021-11-28,3.17,3.061,3.076,3.066
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2021-11-29,3.065,2.953,3.066,3.032
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2021-11-30,3.012,2.935,3.032,2.995
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2021-12-01,3.12,2.983,2.995,3.005
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2021-12-02,3.079,3.007,3.005,3.048
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2021-12-03,3.181,3.084,3.048,3.167
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2021-12-04,3.551,3.258,3.167,3.493
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2021-12-05,3.709,3.52,3.493,3.567
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2021-12-06,3.684,3.462,3.567,3.641
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2021-12-07,3.65,3.538,3.641,3.575
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2021-12-08,3.679,3.462,3.575,3.679
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2021-12-09,3.822,3.741,3.679,3.769
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2021-12-10,3.835,3.711,3.769,3.724
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2021-12-11,3.674,3.536,3.724,3.571
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2021-12-12,3.638,3.553,3.571,3.587
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2021-12-13,3.663,3.482,3.587,3.56
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