data\DJIA\feature5-Inter
==================================================
File Name: data\\DJIA\\feature5-Inter\\stocks_data.npy
Data Shape: (28, 6260, 5)
Data Type: float64
Checking data\\DJIA\\feature5-Inter\\stocks_data.npy
NaN count: 0
Inf count: 0
0 count: 0
Detailed Statistics - data\\DJIA\\feature5-Inter\\stocks_data.npy:
Shape: (28, 6260, 5) - (num_stocks, time_points, num_features)
Detailed statistics for each stock's features (showing only problematic items):
No problematic data found in any stock's features.
Summary by feature across all stocks (showing only problematic features):
No problematic data found in any feature.
==================================================
File Name: data\\DJIA\\feature5-Inter\\market_data.npy
Data Shape: (6260, 4)
Data Type: float64
Checking data\\DJIA\\feature5-Inter\\market_data.npy
NaN count: 0
Inf count: 0
0 count: 0
Detailed Statistics - data\\DJIA\\feature5-Inter\\market_data.npy:
Shape: (6260, 4) - (time_points, num_features)
Feature statistics (showing only problematic features):
No problematic data found in any feature.
==================================================
File Name: data\\DJIA\\feature5-Inter\\ror.npy
Data Shape: (28, 6260)
Data Type: float64
Checking data\\DJIA\\feature5-Inter\\ror.npy
NaN count: 0
Inf count: 0
0 count: 7675
Detailed Statistics - data\\DJIA\\feature5-Inter\\ror.npy:
Shape: (28, 6260) - (num_stocks, time_points)
Stock statistics (showing only problematic stocks):
Stock 1: NaN=0, Inf=0, Zero=241
Stock 2: NaN=0, Inf=0, Zero=250
Stock 3: NaN=0, Inf=0, Zero=276
Stock 4: NaN=0, Inf=0, Zero=260
Stock 5: NaN=0, Inf=0, Zero=258
Stock 6: NaN=0, Inf=0, Zero=289
Stock 7: NaN=0, Inf=0, Zero=260
Stock 8: NaN=0, Inf=0, Zero=297
Stock 9: NaN=0, Inf=0, Zero=252
Stock 10: NaN=0, Inf=0, Zero=268
Stock 11: NaN=0, Inf=0, Zero=271
Stock 12: NaN=0, Inf=0, Zero=302
Stock 13: NaN=0, Inf=0, Zero=259
Stock 14: NaN=0, Inf=0, Zero=279
Stock 15: NaN=0, Inf=0, Zero=282
Stock 16: NaN=0, Inf=0, Zero=273
Stock 17: NaN=0, Inf=0, Zero=296
Stock 18: NaN=0, Inf=0, Zero=279
Stock 19: NaN=0, Inf=0, Zero=258
Stock 20: NaN=0, Inf=0, Zero=287
Stock 21: NaN=0, Inf=0, Zero=273
Stock 22: NaN=0, Inf=0, Zero=265
Stock 23: NaN=0, Inf=0, Zero=300
Stock 24: NaN=0, Inf=0, Zero=270
Stock 25: NaN=0, Inf=0, Zero=277
Stock 26: NaN=0, Inf=0, Zero=260
Stock 27: NaN=0, Inf=0, Zero=303
Stock 28: NaN=0, Inf=0, Zero=290
==================================================
File Name: data\\DJIA\\feature5-Inter\\industry_classification.npy
Data Shape: (28, 28)
Data Type: float64
Checking data\\DJIA\\feature5-Inter\\industry_classification.npy
NaN count: 0
Inf count: 0
0 count: 0
data\DJIA\feature5-Intra
==================================================
File Name: data\\DJIA\\feature5-Intra\\stocks_data.npy
Data Shape: (28, 6260, 5)
Data Type: float64
Checking data\\DJIA\\feature5-Intra\\stocks_data.npy
NaN count: 0
Inf count: 0
0 count: 0
Detailed Statistics - data\\DJIA\\feature5-Intra\\stocks_data.npy:
Shape: (28, 6260, 5) - (num_stocks, time_points, num_features)
Detailed statistics for each stock's features (showing only problematic items):
No problematic data found in any stock's features.
Summary by feature across all stocks (showing only problematic features):
No problematic data found in any feature.
==================================================
File Name: data\\DJIA\\feature5-Intra\\market_data.npy
Data Shape: (6260, 4)
Data Type: float64
Checking data\\DJIA\\feature5-Intra\\market_data.npy
NaN count: 0
Inf count: 0
0 count: 0
Detailed Statistics - data\\DJIA\\feature5-Intra\\market_data.npy:
Shape: (6260, 4) - (time_points, num_features)
Feature statistics (showing only problematic features):
No problematic data found in any feature.
==================================================
File Name: data\\DJIA\\feature5-Intra\\ror.npy
Data Shape: (28, 6260)
Data Type: float64
Checking data\\DJIA\\feature5-Intra\\ror.npy
NaN count: 0
Inf count: 0
0 count: 1486
Detailed Statistics - data\\DJIA\\feature5-Intra\\ror.npy:
Shape: (28, 6260) - (num_stocks, time_points)
Stock statistics (showing only problematic stocks):
Stock 1: NaN=0, Inf=0, Zero=18
Stock 2: NaN=0, Inf=0, Zero=27
Stock 3: NaN=0, Inf=0, Zero=45
Stock 4: NaN=0, Inf=0, Zero=41
Stock 5: NaN=0, Inf=0, Zero=40
Stock 6: NaN=0, Inf=0, Zero=86
Stock 7: NaN=0, Inf=0, Zero=30
Stock 8: NaN=0, Inf=0, Zero=59
Stock 9: NaN=0, Inf=0, Zero=29
Stock 10: NaN=0, Inf=0, Zero=45
Stock 11: NaN=0, Inf=0, Zero=55
Stock 12: NaN=0, Inf=0, Zero=72
Stock 13: NaN=0, Inf=0, Zero=39
Stock 14: NaN=0, Inf=0, Zero=70
Stock 15: NaN=0, Inf=0, Zero=54
Stock 16: NaN=0, Inf=0, Zero=47
Stock 17: NaN=0, Inf=0, Zero=69
Stock 18: NaN=0, Inf=0, Zero=66
Stock 19: NaN=0, Inf=0, Zero=34
Stock 20: NaN=0, Inf=0, Zero=54
Stock 21: NaN=0, Inf=0, Zero=83
Stock 22: NaN=0, Inf=0, Zero=44
Stock 23: NaN=0, Inf=0, Zero=109
Stock 24: NaN=0, Inf=0, Zero=71
Stock 25: NaN=0, Inf=0, Zero=51
Stock 26: NaN=0, Inf=0, Zero=30
Stock 27: NaN=0, Inf=0, Zero=72
Stock 28: NaN=0, Inf=0, Zero=46
==================================================
File Name: data\\DJIA\\feature5-Intra\\industry_classification.npy
Data Shape: (28, 28)
Data Type: float64
Checking data\\DJIA\\feature5-Intra\\industry_classification.npy
NaN count: 0
Inf count: 0
0 count: 0
data\DJIA\feature34-Inter
==================================================
File Name: data\\DJIA\\feature34-Inter\\stocks_data.npy
Data Shape: (28, 6260, 34)
Data Type: float64
Checking data\\DJIA\\feature34-Inter\\stocks_data.npy
NaN count: 0
Inf count: 0
0 count: 159088
Detailed Statistics - data\\DJIA\\feature34-Inter\\stocks_data.npy:
Shape: (28, 6260, 34) - (num_stocks, time_points, num_features)
Detailed statistics for each stock's features (showing only problematic items):
Stock 1:
Feature 20: NaN=0, Inf=0, Zero=254
Feature 21: NaN=0, Inf=0, Zero=6
Feature 25: NaN=0, Inf=0, Zero=3
Feature 27: NaN=0, Inf=0, Zero=82
Feature 28: NaN=0, Inf=0, Zero=254
Feature 29: NaN=0, Inf=0, Zero=28
Feature 30: NaN=0, Inf=0, Zero=1
Feature 31: NaN=0, Inf=0, Zero=48
Feature 32: NaN=0, Inf=0, Zero=264
Feature 33: NaN=0, Inf=0, Zero=5361
Stock 2:
Feature 20: NaN=0, Inf=0, Zero=241
Feature 21: NaN=0, Inf=0, Zero=9
Feature 25: NaN=0, Inf=0, Zero=6
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=240
Feature 29: NaN=0, Inf=0, Zero=36
Feature 30: NaN=0, Inf=0, Zero=1
Feature 31: NaN=0, Inf=0, Zero=53
Feature 32: NaN=0, Inf=0, Zero=250
Feature 33: NaN=0, Inf=0, Zero=4118
Stock 3:
Feature 20: NaN=0, Inf=0, Zero=253
Feature 21: NaN=0, Inf=0, Zero=11
Feature 25: NaN=0, Inf=0, Zero=5
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=253
Feature 29: NaN=0, Inf=0, Zero=25
Feature 30: NaN=0, Inf=0, Zero=4
Feature 31: NaN=0, Inf=0, Zero=64
Feature 32: NaN=0, Inf=0, Zero=263
Feature 33: NaN=0, Inf=0, Zero=4486
Stock 4:
Feature 20: NaN=0, Inf=0, Zero=246
Feature 21: NaN=0, Inf=0, Zero=13
Feature 25: NaN=0, Inf=0, Zero=4
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=246
Feature 29: NaN=0, Inf=0, Zero=32
Feature 30: NaN=0, Inf=0, Zero=3
Feature 31: NaN=0, Inf=0, Zero=74
Feature 32: NaN=0, Inf=0, Zero=256
Feature 33: NaN=0, Inf=0, Zero=4011
Stock 5:
Feature 20: NaN=0, Inf=0, Zero=244
Feature 21: NaN=0, Inf=0, Zero=4
Feature 25: NaN=0, Inf=0, Zero=1
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=244
Feature 29: NaN=0, Inf=0, Zero=20
Feature 30: NaN=0, Inf=0, Zero=2
Feature 31: NaN=0, Inf=0, Zero=90
Feature 32: NaN=0, Inf=0, Zero=254
Feature 33: NaN=0, Inf=0, Zero=4247
Stock 6:
Feature 20: NaN=0, Inf=0, Zero=303
Feature 21: NaN=0, Inf=0, Zero=30
Feature 25: NaN=0, Inf=0, Zero=7
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=303
Feature 29: NaN=0, Inf=0, Zero=50
Feature 30: NaN=0, Inf=0, Zero=2
Feature 31: NaN=0, Inf=0, Zero=89
Feature 32: NaN=0, Inf=0, Zero=313
Feature 33: NaN=0, Inf=0, Zero=5254
Stock 7:
Feature 20: NaN=0, Inf=0, Zero=247
Feature 21: NaN=0, Inf=0, Zero=7
Feature 25: NaN=0, Inf=0, Zero=3
Feature 27: NaN=0, Inf=0, Zero=3
Feature 28: NaN=0, Inf=0, Zero=247
Feature 29: NaN=0, Inf=0, Zero=36
Feature 30: NaN=0, Inf=0, Zero=4
Feature 31: NaN=0, Inf=0, Zero=106
Feature 32: NaN=0, Inf=0, Zero=255
Feature 33: NaN=0, Inf=0, Zero=4302
Stock 8:
Feature 20: NaN=0, Inf=0, Zero=274
Feature 21: NaN=0, Inf=0, Zero=22
Feature 25: NaN=0, Inf=0, Zero=12
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=274
Feature 29: NaN=0, Inf=0, Zero=52
Feature 30: NaN=0, Inf=0, Zero=6
Feature 31: NaN=0, Inf=0, Zero=84
Feature 32: NaN=0, Inf=0, Zero=284
Feature 33: NaN=0, Inf=0, Zero=4783
Stock 9:
Feature 20: NaN=0, Inf=0, Zero=241
Feature 21: NaN=0, Inf=0, Zero=3
Feature 25: NaN=0, Inf=0, Zero=2
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=240
Feature 29: NaN=0, Inf=0, Zero=21
Feature 30: NaN=0, Inf=0, Zero=4
Feature 31: NaN=0, Inf=0, Zero=98
Feature 32: NaN=0, Inf=0, Zero=250
Feature 33: NaN=0, Inf=0, Zero=3682
Stock 10:
Feature 20: NaN=0, Inf=0, Zero=261
Feature 21: NaN=0, Inf=0, Zero=11
Feature 25: NaN=0, Inf=0, Zero=4
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=260
Feature 29: NaN=0, Inf=0, Zero=30
Feature 30: NaN=0, Inf=0, Zero=7
Feature 31: NaN=0, Inf=0, Zero=94
Feature 32: NaN=0, Inf=0, Zero=270
Feature 33: NaN=0, Inf=0, Zero=4411
Stock 11:
Feature 20: NaN=0, Inf=0, Zero=256
Feature 21: NaN=0, Inf=0, Zero=13
Feature 25: NaN=0, Inf=0, Zero=3
Feature 27: NaN=0, Inf=0, Zero=2
Feature 28: NaN=0, Inf=0, Zero=255
Feature 29: NaN=0, Inf=0, Zero=26
Feature 30: NaN=0, Inf=0, Zero=6
Feature 31: NaN=0, Inf=0, Zero=81
Feature 32: NaN=0, Inf=0, Zero=264
Feature 33: NaN=0, Inf=0, Zero=4481
Stock 12:
Feature 20: NaN=0, Inf=0, Zero=301
Feature 21: NaN=0, Inf=0, Zero=22
Feature 25: NaN=0, Inf=0, Zero=14
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=299
Feature 29: NaN=0, Inf=0, Zero=53
Feature 30: NaN=0, Inf=0, Zero=6
Feature 31: NaN=0, Inf=0, Zero=95
Feature 32: NaN=0, Inf=0, Zero=309
Feature 33: NaN=0, Inf=0, Zero=5563
Stock 13:
Feature 20: NaN=0, Inf=0, Zero=243
Feature 21: NaN=0, Inf=0, Zero=5
Feature 25: NaN=0, Inf=0, Zero=2
Feature 27: NaN=0, Inf=0, Zero=2
Feature 28: NaN=0, Inf=0, Zero=243
Feature 29: NaN=0, Inf=0, Zero=24
Feature 30: NaN=0, Inf=0, Zero=2
Feature 31: NaN=0, Inf=0, Zero=94
Feature 32: NaN=0, Inf=0, Zero=253
Feature 33: NaN=0, Inf=0, Zero=4084
Stock 14:
Feature 20: NaN=0, Inf=0, Zero=284
Feature 21: NaN=0, Inf=0, Zero=22
Feature 25: NaN=0, Inf=0, Zero=9
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=284
Feature 29: NaN=0, Inf=0, Zero=39
Feature 30: NaN=0, Inf=0, Zero=3
Feature 31: NaN=0, Inf=0, Zero=101
Feature 32: NaN=0, Inf=0, Zero=294
Feature 33: NaN=0, Inf=0, Zero=5127
Stock 15:
Feature 20: NaN=0, Inf=0, Zero=265
Feature 21: NaN=0, Inf=0, Zero=8
Feature 25: NaN=0, Inf=0, Zero=8
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=265
Feature 29: NaN=0, Inf=0, Zero=44
Feature 30: NaN=0, Inf=0, Zero=3
Feature 31: NaN=0, Inf=0, Zero=104
Feature 32: NaN=0, Inf=0, Zero=275
Feature 33: NaN=0, Inf=0, Zero=4655
Stock 16:
Feature 20: NaN=0, Inf=0, Zero=261
Feature 21: NaN=0, Inf=0, Zero=13
Feature 25: NaN=0, Inf=0, Zero=3
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=261
Feature 29: NaN=0, Inf=0, Zero=20
Feature 30: NaN=0, Inf=0, Zero=3
Feature 31: NaN=0, Inf=0, Zero=89
Feature 32: NaN=0, Inf=0, Zero=271
Feature 33: NaN=0, Inf=0, Zero=4555
Stock 17:
Feature 20: NaN=0, Inf=0, Zero=291
Feature 21: NaN=0, Inf=0, Zero=23
Feature 25: NaN=0, Inf=0, Zero=10
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=291
Feature 29: NaN=0, Inf=0, Zero=42
Feature 30: NaN=0, Inf=0, Zero=4
Feature 31: NaN=0, Inf=0, Zero=94
Feature 32: NaN=0, Inf=0, Zero=301
Feature 33: NaN=0, Inf=0, Zero=5472
Stock 18:
Feature 20: NaN=0, Inf=0, Zero=271
Feature 21: NaN=0, Inf=0, Zero=10
Feature 25: NaN=0, Inf=0, Zero=9
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=270
Feature 29: NaN=0, Inf=0, Zero=38
Feature 30: NaN=0, Inf=0, Zero=2
Feature 31: NaN=0, Inf=0, Zero=99
Feature 32: NaN=0, Inf=0, Zero=280
Feature 33: NaN=0, Inf=0, Zero=4549
Stock 19:
Feature 20: NaN=0, Inf=0, Zero=259
Feature 21: NaN=0, Inf=0, Zero=7
Feature 25: NaN=0, Inf=0, Zero=6
Feature 27: NaN=0, Inf=0, Zero=2
Feature 28: NaN=0, Inf=0, Zero=259
Feature 29: NaN=0, Inf=0, Zero=39
Feature 30: NaN=0, Inf=0, Zero=2
Feature 31: NaN=0, Inf=0, Zero=111
Feature 32: NaN=0, Inf=0, Zero=268
Feature 33: NaN=0, Inf=0, Zero=4414
Stock 20:
Feature 20: NaN=0, Inf=0, Zero=274
Feature 21: NaN=0, Inf=0, Zero=11
Feature 25: NaN=0, Inf=0, Zero=2
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=274
Feature 29: NaN=0, Inf=0, Zero=45
Feature 30: NaN=0, Inf=0, Zero=1
Feature 31: NaN=0, Inf=0, Zero=75
Feature 32: NaN=0, Inf=0, Zero=284
Feature 33: NaN=0, Inf=0, Zero=4846
Stock 21:
Feature 20: NaN=0, Inf=0, Zero=287
Feature 21: NaN=0, Inf=0, Zero=22
Feature 25: NaN=0, Inf=0, Zero=4
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=287
Feature 29: NaN=0, Inf=0, Zero=50
Feature 30: NaN=0, Inf=0, Zero=5
Feature 31: NaN=0, Inf=0, Zero=77
Feature 32: NaN=0, Inf=0, Zero=297
Feature 33: NaN=0, Inf=0, Zero=4833
Stock 22:
Feature 20: NaN=0, Inf=0, Zero=260
Feature 21: NaN=0, Inf=0, Zero=6
Feature 25: NaN=0, Inf=0, Zero=11
Feature 27: NaN=0, Inf=0, Zero=2
Feature 28: NaN=0, Inf=0, Zero=260
Feature 29: NaN=0, Inf=0, Zero=40
Feature 30: NaN=0, Inf=0, Zero=3
Feature 31: NaN=0, Inf=0, Zero=97
Feature 32: NaN=0, Inf=0, Zero=269
Feature 33: NaN=0, Inf=0, Zero=5192
Stock 23:
Feature 20: NaN=0, Inf=0, Zero=312
Feature 21: NaN=0, Inf=0, Zero=36
Feature 25: NaN=0, Inf=0, Zero=15
Feature 27: NaN=0, Inf=0, Zero=3
Feature 28: NaN=0, Inf=0, Zero=311
Feature 29: NaN=0, Inf=0, Zero=77
Feature 30: NaN=0, Inf=0, Zero=8
Feature 31: NaN=0, Inf=0, Zero=149
Feature 32: NaN=0, Inf=0, Zero=320
Feature 33: NaN=0, Inf=0, Zero=5374
Stock 24:
Feature 20: NaN=0, Inf=0, Zero=282
Feature 21: NaN=0, Inf=0, Zero=13
Feature 25: NaN=0, Inf=0, Zero=5
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=282
Feature 29: NaN=0, Inf=0, Zero=40
Feature 30: NaN=0, Inf=0, Zero=5
Feature 31: NaN=0, Inf=0, Zero=107
Feature 32: NaN=0, Inf=0, Zero=292
Feature 33: NaN=0, Inf=0, Zero=4860
Stock 25:
Feature 20: NaN=0, Inf=0, Zero=266
Feature 21: NaN=0, Inf=0, Zero=13
Feature 25: NaN=0, Inf=0, Zero=9
Feature 27: NaN=0, Inf=0, Zero=2
Feature 28: NaN=0, Inf=0, Zero=266
Feature 29: NaN=0, Inf=0, Zero=32
Feature 30: NaN=0, Inf=0, Zero=5
Feature 31: NaN=0, Inf=0, Zero=124
Feature 32: NaN=0, Inf=0, Zero=275
Feature 33: NaN=0, Inf=0, Zero=4499
Stock 26:
Feature 20: NaN=0, Inf=0, Zero=252
Feature 21: NaN=0, Inf=0, Zero=6
Feature 25: NaN=0, Inf=0, Zero=6
Feature 27: NaN=0, Inf=0, Zero=2
Feature 28: NaN=0, Inf=0, Zero=252
Feature 29: NaN=0, Inf=0, Zero=32
Feature 31: NaN=0, Inf=0, Zero=69
Feature 32: NaN=0, Inf=0, Zero=262
Feature 33: NaN=0, Inf=0, Zero=4413
Stock 27:
Feature 20: NaN=0, Inf=0, Zero=288
Feature 21: NaN=0, Inf=0, Zero=28
Feature 25: NaN=0, Inf=0, Zero=8
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=288
Feature 29: NaN=0, Inf=0, Zero=53
Feature 30: NaN=0, Inf=0, Zero=2
Feature 31: NaN=0, Inf=0, Zero=107
Feature 32: NaN=0, Inf=0, Zero=298
Feature 33: NaN=0, Inf=0, Zero=5211
Stock 28:
Feature 20: NaN=0, Inf=0, Zero=280
Feature 21: NaN=0, Inf=0, Zero=12
Feature 25: NaN=0, Inf=0, Zero=6
Feature 27: NaN=0, Inf=0, Zero=2
Feature 28: NaN=0, Inf=0, Zero=280
Feature 29: NaN=0, Inf=0, Zero=292
Feature 30: NaN=0, Inf=0, Zero=12
Feature 31: NaN=0, Inf=0, Zero=70
Feature 32: NaN=0, Inf=0, Zero=290
Feature 33: NaN=0, Inf=0, Zero=4912
Summary by feature across all stocks (showing only problematic features):
Feature 20: NaN=0, Inf=0, Zero=7496
Feature 21: NaN=0, Inf=0, Zero=386
Feature 25: NaN=0, Inf=0, Zero=177
Feature 27: NaN=0, Inf=0, Zero=120
Feature 28: NaN=0, Inf=0, Zero=7488
Feature 29: NaN=0, Inf=0, Zero=1316
Feature 30: NaN=0, Inf=0, Zero=106
Feature 31: NaN=0, Inf=0, Zero=2543
Feature 32: NaN=0, Inf=0, Zero=7761
Feature 33: NaN=0, Inf=0, Zero=131695
==================================================
File Name: data\\DJIA\\feature34-Inter\\market_data.npy
Data Shape: (6260, 27)
Data Type: float64
Checking data\\DJIA\\feature34-Inter\\market_data.npy
NaN count: 0
Inf count: 0
0 count: 0
Detailed Statistics - data\\DJIA\\feature34-Inter\\market_data.npy:
Shape: (6260, 27) - (time_points, num_features)
Feature statistics (showing only problematic features):
No problematic data found in any feature.
==================================================
File Name: data\\DJIA\\feature34-Inter\\ror.npy
Data Shape: (28, 6260)
Data Type: float64
Checking data\\DJIA\\feature34-Inter\\ror.npy
NaN count: 0
Inf count: 0
0 count: 7675
Detailed Statistics - data\\DJIA\\feature34-Inter\\ror.npy:
Shape: (28, 6260) - (num_stocks, time_points)
Stock statistics (showing only problematic stocks):
Stock 1: NaN=0, Inf=0, Zero=241
Stock 2: NaN=0, Inf=0, Zero=250
Stock 3: NaN=0, Inf=0, Zero=276
Stock 4: NaN=0, Inf=0, Zero=260
Stock 5: NaN=0, Inf=0, Zero=258
Stock 6: NaN=0, Inf=0, Zero=289
Stock 7: NaN=0, Inf=0, Zero=260
Stock 8: NaN=0, Inf=0, Zero=297
Stock 9: NaN=0, Inf=0, Zero=252
Stock 10: NaN=0, Inf=0, Zero=268
Stock 11: NaN=0, Inf=0, Zero=271
Stock 12: NaN=0, Inf=0, Zero=302
Stock 13: NaN=0, Inf=0, Zero=259
Stock 14: NaN=0, Inf=0, Zero=279
Stock 15: NaN=0, Inf=0, Zero=282
Stock 16: NaN=0, Inf=0, Zero=273
Stock 17: NaN=0, Inf=0, Zero=296
Stock 18: NaN=0, Inf=0, Zero=279
Stock 19: NaN=0, Inf=0, Zero=258
Stock 20: NaN=0, Inf=0, Zero=287
Stock 21: NaN=0, Inf=0, Zero=273
Stock 22: NaN=0, Inf=0, Zero=265
Stock 23: NaN=0, Inf=0, Zero=300
Stock 24: NaN=0, Inf=0, Zero=270
Stock 25: NaN=0, Inf=0, Zero=277
Stock 26: NaN=0, Inf=0, Zero=260
Stock 27: NaN=0, Inf=0, Zero=303
Stock 28: NaN=0, Inf=0, Zero=290
==================================================
File Name: data\\DJIA\\feature34-Inter\\industry_classification.npy
Data Shape: (28, 28)
Data Type: float64
Checking data\\DJIA\\feature34-Inter\\industry_classification.npy
NaN count: 0
Inf count: 0
0 count: 0
data\DJIA\feature34-Intra
==================================================
File Name: data\\DJIA\\feature34-Intra\\stocks_data.npy
Data Shape: (28, 6260, 34)
Data Type: float64
Checking data\\DJIA\\feature34-Intra\\stocks_data.npy
NaN count: 0
Inf count: 0
0 count: 159088
Detailed Statistics - data\\DJIA\\feature34-Intra\\stocks_data.npy:
Shape: (28, 6260, 34) - (num_stocks, time_points, num_features)
Detailed statistics for each stock's features (showing only problematic items):
Stock 1:
Feature 20: NaN=0, Inf=0, Zero=254
Feature 21: NaN=0, Inf=0, Zero=6
Feature 25: NaN=0, Inf=0, Zero=3
Feature 27: NaN=0, Inf=0, Zero=82
Feature 28: NaN=0, Inf=0, Zero=254
Feature 29: NaN=0, Inf=0, Zero=28
Feature 30: NaN=0, Inf=0, Zero=1
Feature 31: NaN=0, Inf=0, Zero=48
Feature 32: NaN=0, Inf=0, Zero=264
Feature 33: NaN=0, Inf=0, Zero=5361
Stock 2:
Feature 20: NaN=0, Inf=0, Zero=241
Feature 21: NaN=0, Inf=0, Zero=9
Feature 25: NaN=0, Inf=0, Zero=6
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=240
Feature 29: NaN=0, Inf=0, Zero=36
Feature 30: NaN=0, Inf=0, Zero=1
Feature 31: NaN=0, Inf=0, Zero=53
Feature 32: NaN=0, Inf=0, Zero=250
Feature 33: NaN=0, Inf=0, Zero=4118
Stock 3:
Feature 20: NaN=0, Inf=0, Zero=253
Feature 21: NaN=0, Inf=0, Zero=11
Feature 25: NaN=0, Inf=0, Zero=5
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=253
Feature 29: NaN=0, Inf=0, Zero=25
Feature 30: NaN=0, Inf=0, Zero=4
Feature 31: NaN=0, Inf=0, Zero=64
Feature 32: NaN=0, Inf=0, Zero=263
Feature 33: NaN=0, Inf=0, Zero=4486
Stock 4:
Feature 20: NaN=0, Inf=0, Zero=246
Feature 21: NaN=0, Inf=0, Zero=13
Feature 25: NaN=0, Inf=0, Zero=4
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=246
Feature 29: NaN=0, Inf=0, Zero=32
Feature 30: NaN=0, Inf=0, Zero=3
Feature 31: NaN=0, Inf=0, Zero=74
Feature 32: NaN=0, Inf=0, Zero=256
Feature 33: NaN=0, Inf=0, Zero=4011
Stock 5:
Feature 20: NaN=0, Inf=0, Zero=244
Feature 21: NaN=0, Inf=0, Zero=4
Feature 25: NaN=0, Inf=0, Zero=1
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=244
Feature 29: NaN=0, Inf=0, Zero=20
Feature 30: NaN=0, Inf=0, Zero=2
Feature 31: NaN=0, Inf=0, Zero=90
Feature 32: NaN=0, Inf=0, Zero=254
Feature 33: NaN=0, Inf=0, Zero=4247
Stock 6:
Feature 20: NaN=0, Inf=0, Zero=303
Feature 21: NaN=0, Inf=0, Zero=30
Feature 25: NaN=0, Inf=0, Zero=7
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=303
Feature 29: NaN=0, Inf=0, Zero=50
Feature 30: NaN=0, Inf=0, Zero=2
Feature 31: NaN=0, Inf=0, Zero=89
Feature 32: NaN=0, Inf=0, Zero=313
Feature 33: NaN=0, Inf=0, Zero=5254
Stock 7:
Feature 20: NaN=0, Inf=0, Zero=247
Feature 21: NaN=0, Inf=0, Zero=7
Feature 25: NaN=0, Inf=0, Zero=3
Feature 27: NaN=0, Inf=0, Zero=3
Feature 28: NaN=0, Inf=0, Zero=247
Feature 29: NaN=0, Inf=0, Zero=36
Feature 30: NaN=0, Inf=0, Zero=4
Feature 31: NaN=0, Inf=0, Zero=106
Feature 32: NaN=0, Inf=0, Zero=255
Feature 33: NaN=0, Inf=0, Zero=4302
Stock 8:
Feature 20: NaN=0, Inf=0, Zero=274
Feature 21: NaN=0, Inf=0, Zero=22
Feature 25: NaN=0, Inf=0, Zero=12
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=274
Feature 29: NaN=0, Inf=0, Zero=52
Feature 30: NaN=0, Inf=0, Zero=6
Feature 31: NaN=0, Inf=0, Zero=84
Feature 32: NaN=0, Inf=0, Zero=284
Feature 33: NaN=0, Inf=0, Zero=4783
Stock 9:
Feature 20: NaN=0, Inf=0, Zero=241
Feature 21: NaN=0, Inf=0, Zero=3
Feature 25: NaN=0, Inf=0, Zero=2
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=240
Feature 29: NaN=0, Inf=0, Zero=21
Feature 30: NaN=0, Inf=0, Zero=4
Feature 31: NaN=0, Inf=0, Zero=98
Feature 32: NaN=0, Inf=0, Zero=250
Feature 33: NaN=0, Inf=0, Zero=3682
Stock 10:
Feature 20: NaN=0, Inf=0, Zero=261
Feature 21: NaN=0, Inf=0, Zero=11
Feature 25: NaN=0, Inf=0, Zero=4
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=260
Feature 29: NaN=0, Inf=0, Zero=30
Feature 30: NaN=0, Inf=0, Zero=7
Feature 31: NaN=0, Inf=0, Zero=94
Feature 32: NaN=0, Inf=0, Zero=270
Feature 33: NaN=0, Inf=0, Zero=4411
Stock 11:
Feature 20: NaN=0, Inf=0, Zero=256
Feature 21: NaN=0, Inf=0, Zero=13
Feature 25: NaN=0, Inf=0, Zero=3
Feature 27: NaN=0, Inf=0, Zero=2
Feature 28: NaN=0, Inf=0, Zero=255
Feature 29: NaN=0, Inf=0, Zero=26
Feature 30: NaN=0, Inf=0, Zero=6
Feature 31: NaN=0, Inf=0, Zero=81
Feature 32: NaN=0, Inf=0, Zero=264
Feature 33: NaN=0, Inf=0, Zero=4481
Stock 12:
Feature 20: NaN=0, Inf=0, Zero=301
Feature 21: NaN=0, Inf=0, Zero=22
Feature 25: NaN=0, Inf=0, Zero=14
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=299
Feature 29: NaN=0, Inf=0, Zero=53
Feature 30: NaN=0, Inf=0, Zero=6
Feature 31: NaN=0, Inf=0, Zero=95
Feature 32: NaN=0, Inf=0, Zero=309
Feature 33: NaN=0, Inf=0, Zero=5563
Stock 13:
Feature 20: NaN=0, Inf=0, Zero=243
Feature 21: NaN=0, Inf=0, Zero=5
Feature 25: NaN=0, Inf=0, Zero=2
Feature 27: NaN=0, Inf=0, Zero=2
Feature 28: NaN=0, Inf=0, Zero=243
Feature 29: NaN=0, Inf=0, Zero=24
Feature 30: NaN=0, Inf=0, Zero=2
Feature 31: NaN=0, Inf=0, Zero=94
Feature 32: NaN=0, Inf=0, Zero=253
Feature 33: NaN=0, Inf=0, Zero=4084
Stock 14:
Feature 20: NaN=0, Inf=0, Zero=284
Feature 21: NaN=0, Inf=0, Zero=22
Feature 25: NaN=0, Inf=0, Zero=9
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=284
Feature 29: NaN=0, Inf=0, Zero=39
Feature 30: NaN=0, Inf=0, Zero=3
Feature 31: NaN=0, Inf=0, Zero=101
Feature 32: NaN=0, Inf=0, Zero=294
Feature 33: NaN=0, Inf=0, Zero=5127
Stock 15:
Feature 20: NaN=0, Inf=0, Zero=265
Feature 21: NaN=0, Inf=0, Zero=8
Feature 25: NaN=0, Inf=0, Zero=8
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=265
Feature 29: NaN=0, Inf=0, Zero=44
Feature 30: NaN=0, Inf=0, Zero=3
Feature 31: NaN=0, Inf=0, Zero=104
Feature 32: NaN=0, Inf=0, Zero=275
Feature 33: NaN=0, Inf=0, Zero=4655
Stock 16:
Feature 20: NaN=0, Inf=0, Zero=261
Feature 21: NaN=0, Inf=0, Zero=13
Feature 25: NaN=0, Inf=0, Zero=3
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=261
Feature 29: NaN=0, Inf=0, Zero=20
Feature 30: NaN=0, Inf=0, Zero=3
Feature 31: NaN=0, Inf=0, Zero=89
Feature 32: NaN=0, Inf=0, Zero=271
Feature 33: NaN=0, Inf=0, Zero=4555
Stock 17:
Feature 20: NaN=0, Inf=0, Zero=291
Feature 21: NaN=0, Inf=0, Zero=23
Feature 25: NaN=0, Inf=0, Zero=10
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=291
Feature 29: NaN=0, Inf=0, Zero=42
Feature 30: NaN=0, Inf=0, Zero=4
Feature 31: NaN=0, Inf=0, Zero=94
Feature 32: NaN=0, Inf=0, Zero=301
Feature 33: NaN=0, Inf=0, Zero=5472
Stock 18:
Feature 20: NaN=0, Inf=0, Zero=271
Feature 21: NaN=0, Inf=0, Zero=10
Feature 25: NaN=0, Inf=0, Zero=9
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=270
Feature 29: NaN=0, Inf=0, Zero=38
Feature 30: NaN=0, Inf=0, Zero=2
Feature 31: NaN=0, Inf=0, Zero=99
Feature 32: NaN=0, Inf=0, Zero=280
Feature 33: NaN=0, Inf=0, Zero=4549
Stock 19:
Feature 20: NaN=0, Inf=0, Zero=259
Feature 21: NaN=0, Inf=0, Zero=7
Feature 25: NaN=0, Inf=0, Zero=6
Feature 27: NaN=0, Inf=0, Zero=2
Feature 28: NaN=0, Inf=0, Zero=259
Feature 29: NaN=0, Inf=0, Zero=39
Feature 30: NaN=0, Inf=0, Zero=2
Feature 31: NaN=0, Inf=0, Zero=111
Feature 32: NaN=0, Inf=0, Zero=268
Feature 33: NaN=0, Inf=0, Zero=4414
Stock 20:
Feature 20: NaN=0, Inf=0, Zero=274
Feature 21: NaN=0, Inf=0, Zero=11
Feature 25: NaN=0, Inf=0, Zero=2
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=274
Feature 29: NaN=0, Inf=0, Zero=45
Feature 30: NaN=0, Inf=0, Zero=1
Feature 31: NaN=0, Inf=0, Zero=75
Feature 32: NaN=0, Inf=0, Zero=284
Feature 33: NaN=0, Inf=0, Zero=4846
Stock 21:
Feature 20: NaN=0, Inf=0, Zero=287
Feature 21: NaN=0, Inf=0, Zero=22
Feature 25: NaN=0, Inf=0, Zero=4
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=287
Feature 29: NaN=0, Inf=0, Zero=50
Feature 30: NaN=0, Inf=0, Zero=5
Feature 31: NaN=0, Inf=0, Zero=77
Feature 32: NaN=0, Inf=0, Zero=297
Feature 33: NaN=0, Inf=0, Zero=4833
Stock 22:
Feature 20: NaN=0, Inf=0, Zero=260
Feature 21: NaN=0, Inf=0, Zero=6
Feature 25: NaN=0, Inf=0, Zero=11
Feature 27: NaN=0, Inf=0, Zero=2
Feature 28: NaN=0, Inf=0, Zero=260
Feature 29: NaN=0, Inf=0, Zero=40
Feature 30: NaN=0, Inf=0, Zero=3
Feature 31: NaN=0, Inf=0, Zero=97
Feature 32: NaN=0, Inf=0, Zero=269
Feature 33: NaN=0, Inf=0, Zero=5192
Stock 23:
Feature 20: NaN=0, Inf=0, Zero=312
Feature 21: NaN=0, Inf=0, Zero=36
Feature 25: NaN=0, Inf=0, Zero=15
Feature 27: NaN=0, Inf=0, Zero=3
Feature 28: NaN=0, Inf=0, Zero=311
Feature 29: NaN=0, Inf=0, Zero=77
Feature 30: NaN=0, Inf=0, Zero=8
Feature 31: NaN=0, Inf=0, Zero=149
Feature 32: NaN=0, Inf=0, Zero=320
Feature 33: NaN=0, Inf=0, Zero=5374
Stock 24:
Feature 20: NaN=0, Inf=0, Zero=282
Feature 21: NaN=0, Inf=0, Zero=13
Feature 25: NaN=0, Inf=0, Zero=5
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=282
Feature 29: NaN=0, Inf=0, Zero=40
Feature 30: NaN=0, Inf=0, Zero=5
Feature 31: NaN=0, Inf=0, Zero=107
Feature 32: NaN=0, Inf=0, Zero=292
Feature 33: NaN=0, Inf=0, Zero=4860
Stock 25:
Feature 20: NaN=0, Inf=0, Zero=266
Feature 21: NaN=0, Inf=0, Zero=13
Feature 25: NaN=0, Inf=0, Zero=9
Feature 27: NaN=0, Inf=0, Zero=2
Feature 28: NaN=0, Inf=0, Zero=266
Feature 29: NaN=0, Inf=0, Zero=32
Feature 30: NaN=0, Inf=0, Zero=5
Feature 31: NaN=0, Inf=0, Zero=124
Feature 32: NaN=0, Inf=0, Zero=275
Feature 33: NaN=0, Inf=0, Zero=4499
Stock 26:
Feature 20: NaN=0, Inf=0, Zero=252
Feature 21: NaN=0, Inf=0, Zero=6
Feature 25: NaN=0, Inf=0, Zero=6
Feature 27: NaN=0, Inf=0, Zero=2
Feature 28: NaN=0, Inf=0, Zero=252
Feature 29: NaN=0, Inf=0, Zero=32
Feature 31: NaN=0, Inf=0, Zero=69
Feature 32: NaN=0, Inf=0, Zero=262
Feature 33: NaN=0, Inf=0, Zero=4413
Stock 27:
Feature 20: NaN=0, Inf=0, Zero=288
Feature 21: NaN=0, Inf=0, Zero=28
Feature 25: NaN=0, Inf=0, Zero=8
Feature 27: NaN=0, Inf=0, Zero=1
Feature 28: NaN=0, Inf=0, Zero=288
Feature 29: NaN=0, Inf=0, Zero=53
Feature 30: NaN=0, Inf=0, Zero=2
Feature 31: NaN=0, Inf=0, Zero=107
Feature 32: NaN=0, Inf=0, Zero=298
Feature 33: NaN=0, Inf=0, Zero=5211
Stock 28:
Feature 20: NaN=0, Inf=0, Zero=280
Feature 21: NaN=0, Inf=0, Zero=12
Feature 25: NaN=0, Inf=0, Zero=6
Feature 27: NaN=0, Inf=0, Zero=2
Feature 28: NaN=0, Inf=0, Zero=280
Feature 29: NaN=0, Inf=0, Zero=292
Feature 30: NaN=0, Inf=0, Zero=12
Feature 31: NaN=0, Inf=0, Zero=70
Feature 32: NaN=0, Inf=0, Zero=290
Feature 33: NaN=0, Inf=0, Zero=4912
Summary by feature across all stocks (showing only problematic features):
Feature 20: NaN=0, Inf=0, Zero=7496
Feature 21: NaN=0, Inf=0, Zero=386
Feature 25: NaN=0, Inf=0, Zero=177
Feature 27: NaN=0, Inf=0, Zero=120
Feature 28: NaN=0, Inf=0, Zero=7488
Feature 29: NaN=0, Inf=0, Zero=1316
Feature 30: NaN=0, Inf=0, Zero=106
Feature 31: NaN=0, Inf=0, Zero=2543
Feature 32: NaN=0, Inf=0, Zero=7761
Feature 33: NaN=0, Inf=0, Zero=131695
==================================================
File Name: data\\DJIA\\feature34-Intra\\market_data.npy
Data Shape: (6260, 27)
Data Type: float64
Checking data\\DJIA\\feature34-Intra\\market_data.npy
NaN count: 0
Inf count: 0
0 count: 0
Detailed Statistics - data\\DJIA\\feature34-Intra\\market_data.npy:
Shape: (6260, 27) - (time_points, num_features)
Feature statistics (showing only problematic features):
No problematic data found in any feature.
==================================================
File Name: data\\DJIA\\feature34-Intra\\ror.npy
Data Shape: (28, 6260)
Data Type: float64
Checking data\\DJIA\\feature34-Intra\\ror.npy
NaN count: 0
Inf count: 0
0 count: 1486
Detailed Statistics - data\\DJIA\\feature34-Intra\\ror.npy:
Shape: (28, 6260) - (num_stocks, time_points)
Stock statistics (showing only problematic stocks):
Stock 1: NaN=0, Inf=0, Zero=18
Stock 2: NaN=0, Inf=0, Zero=27
Stock 3: NaN=0, Inf=0, Zero=45
Stock 4: NaN=0, Inf=0, Zero=41
Stock 5: NaN=0, Inf=0, Zero=40
Stock 6: NaN=0, Inf=0, Zero=86
Stock 7: NaN=0, Inf=0, Zero=30
Stock 8: NaN=0, Inf=0, Zero=59
Stock 9: NaN=0, Inf=0, Zero=29
Stock 10: NaN=0, Inf=0, Zero=45
Stock 11: NaN=0, Inf=0, Zero=55
Stock 12: NaN=0, Inf=0, Zero=72
Stock 13: NaN=0, Inf=0, Zero=39
Stock 14: NaN=0, Inf=0, Zero=70
Stock 15: NaN=0, Inf=0, Zero=54
Stock 16: NaN=0, Inf=0, Zero=47
Stock 17: NaN=0, Inf=0, Zero=69
Stock 18: NaN=0, Inf=0, Zero=66
Stock 19: NaN=0, Inf=0, Zero=34
Stock 20: NaN=0, Inf=0, Zero=54
Stock 21: NaN=0, Inf=0, Zero=83
Stock 22: NaN=0, Inf=0, Zero=44
Stock 23: NaN=0, Inf=0, Zero=109
Stock 24: NaN=0, Inf=0, Zero=71
Stock 25: NaN=0, Inf=0, Zero=51
Stock 26: NaN=0, Inf=0, Zero=30
Stock 27: NaN=0, Inf=0, Zero=72
Stock 28: NaN=0, Inf=0, Zero=46
==================================================
File Name: data\\DJIA\\feature34-Intra\\industry_classification.npy
Data Shape: (28, 28)
Data Type: float64
Checking data\\DJIA\\feature34-Intra\\industry_classification.npy
NaN count: 0
Inf count: 0
0 count: 0
data\DJIA\feature5-Inter-p532
==================================================
File Name: data\\DJIA\\feature5-Inter-p532\\stocks_data.npy
Data Shape: (30, 2673, 5)
Data Type: float64
Checking data\\DJIA\\feature5-Inter-p532\\stocks_data.npy
NaN count: 0
Inf count: 0
0 count: 0
Detailed Statistics - data\\DJIA\\feature5-Inter-p532\\stocks_data.npy:
Shape: (30, 2673, 5) - (num_stocks, time_points, num_features)
Detailed statistics for each stock's features (showing only problematic items):
No problematic data found in any stock's features.
Summary by feature across all stocks (showing only problematic features):
No problematic data found in any feature.
==================================================
File Name: data\\DJIA\\feature5-Inter-p532\\market_data.npy
Data Shape: (2673, 4)
Data Type: float64
Checking data\\DJIA\\feature5-Inter-p532\\market_data.npy
NaN count: 0
Inf count: 0
0 count: 0
Detailed Statistics - data\\DJIA\\feature5-Inter-p532\\market_data.npy:
Shape: (2673, 4) - (time_points, num_features)
Feature statistics (showing only problematic features):
No problematic data found in any feature.
==================================================
File Name: data\\DJIA\\feature5-Inter-p532\\ror.npy
Data Shape: (30, 2673)
Data Type: float64
Checking data\\DJIA\\feature5-Inter-p532\\ror.npy
NaN count: 0
Inf count: 0
0 count: 3399
Detailed Statistics - data\\DJIA\\feature5-Inter-p532\\ror.npy:
Shape: (30, 2673) - (num_stocks, time_points)
Stock statistics (showing only problematic stocks):
Stock 1: NaN=0, Inf=0, Zero=107
Stock 2: NaN=0, Inf=0, Zero=105
Stock 3: NaN=0, Inf=0, Zero=110
Stock 4: NaN=0, Inf=0, Zero=105
Stock 5: NaN=0, Inf=0, Zero=107
Stock 6: NaN=0, Inf=0, Zero=111
Stock 7: NaN=0, Inf=0, Zero=124
Stock 8: NaN=0, Inf=0, Zero=111
Stock 9: NaN=0, Inf=0, Zero=114
Stock 10: NaN=0, Inf=0, Zero=108
Stock 11: NaN=0, Inf=0, Zero=104
Stock 12: NaN=0, Inf=0, Zero=110
Stock 13: NaN=0, Inf=0, Zero=137
Stock 14: NaN=0, Inf=0, Zero=111
Stock 15: NaN=0, Inf=0, Zero=115
Stock 16: NaN=0, Inf=0, Zero=110
Stock 17: NaN=0, Inf=0, Zero=106
Stock 18: NaN=0, Inf=0, Zero=130
Stock 19: NaN=0, Inf=0, Zero=105
Stock 20: NaN=0, Inf=0, Zero=107
Stock 21: NaN=0, Inf=0, Zero=118
Stock 22: NaN=0, Inf=0, Zero=107
Stock 23: NaN=0, Inf=0, Zero=116
Stock 24: NaN=0, Inf=0, Zero=128
Stock 25: NaN=0, Inf=0, Zero=111
Stock 26: NaN=0, Inf=0, Zero=112
Stock 27: NaN=0, Inf=0, Zero=105
Stock 28: NaN=0, Inf=0, Zero=116
Stock 29: NaN=0, Inf=0, Zero=131
Stock 30: NaN=0, Inf=0, Zero=118
==================================================
File Name: data\\DJIA\\feature5-Inter-p532\\industry_classification.npy
Data Shape: (30, 30)
Data Type: float64
Checking data\\DJIA\\feature5-Inter-p532\\industry_classification.npy
NaN count: 0
Inf count: 0
0 count: 0
data\DJIA\feature34-Inter-p532
==================================================
File Name: data\\DJIA\\feature34-Inter-p532\\stocks_data.npy
Data Shape: (30, 2673, 34)
Data Type: float64
Checking data\\DJIA\\feature34-Inter-p532\\stocks_data.npy
NaN count: 0
Inf count: 0
0 count: 64700
Detailed Statistics - data\\DJIA\\feature34-Inter-p532\\stocks_data.npy:
Shape: (30, 2673, 34) - (num_stocks, time_points, num_features)
Detailed statistics for each stock's features (showing only problematic items):
Stock 1:
Feature 20: NaN=0, Inf=0, Zero=106
Feature 21: NaN=0, Inf=0, Zero=1
Feature 25: NaN=0, Inf=0, Zero=3
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=106
Feature 29: NaN=0, Inf=0, Zero=3
Feature 31: NaN=0, Inf=0, Zero=12
Feature 32: NaN=0, Inf=0, Zero=103
Feature 33: NaN=0, Inf=0, Zero=1827
Stock 2:
Feature 20: NaN=0, Inf=0, Zero=103
Feature 21: NaN=0, Inf=0, Zero=1
Feature 25: NaN=0, Inf=0, Zero=1
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=102
Feature 29: NaN=0, Inf=0, Zero=8
Feature 31: NaN=0, Inf=0, Zero=2
Feature 32: NaN=0, Inf=0, Zero=99
Feature 33: NaN=0, Inf=0, Zero=1543
Stock 3:
Feature 20: NaN=0, Inf=0, Zero=106
Feature 21: NaN=0, Inf=0, Zero=3
Feature 25: NaN=0, Inf=0, Zero=1
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=106
Feature 29: NaN=0, Inf=0, Zero=1
Feature 31: NaN=0, Inf=0, Zero=13
Feature 32: NaN=0, Inf=0, Zero=103
Feature 33: NaN=0, Inf=0, Zero=1676
Stock 4:
Feature 20: NaN=0, Inf=0, Zero=105
Feature 21: NaN=0, Inf=0, Zero=3
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=105
Feature 29: NaN=0, Inf=0, Zero=6
Feature 31: NaN=0, Inf=0, Zero=14
Feature 32: NaN=0, Inf=0, Zero=102
Feature 33: NaN=0, Inf=0, Zero=1470
Stock 5:
Feature 20: NaN=0, Inf=0, Zero=102
Feature 21: NaN=0, Inf=0, Zero=1
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=102
Feature 29: NaN=0, Inf=0, Zero=5
Feature 31: NaN=0, Inf=0, Zero=12
Feature 32: NaN=0, Inf=0, Zero=99
Feature 33: NaN=0, Inf=0, Zero=1586
Stock 6:
Feature 20: NaN=0, Inf=0, Zero=106
Feature 25: NaN=0, Inf=0, Zero=2
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=106
Feature 29: NaN=0, Inf=0, Zero=16
Feature 31: NaN=0, Inf=0, Zero=10
Feature 32: NaN=0, Inf=0, Zero=103
Feature 33: NaN=0, Inf=0, Zero=1577
Stock 7:
Feature 20: NaN=0, Inf=0, Zero=128
Feature 21: NaN=0, Inf=0, Zero=9
Feature 25: NaN=0, Inf=0, Zero=2
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=128
Feature 29: NaN=0, Inf=0, Zero=12
Feature 30: NaN=0, Inf=0, Zero=1
Feature 31: NaN=0, Inf=0, Zero=25
Feature 32: NaN=0, Inf=0, Zero=125
Feature 33: NaN=0, Inf=0, Zero=2165
Stock 8:
Feature 20: NaN=0, Inf=0, Zero=107
Feature 21: NaN=0, Inf=0, Zero=2
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=107
Feature 29: NaN=0, Inf=0, Zero=9
Feature 31: NaN=0, Inf=0, Zero=16
Feature 32: NaN=0, Inf=0, Zero=104
Feature 33: NaN=0, Inf=0, Zero=1695
Stock 9:
Feature 20: NaN=0, Inf=0, Zero=109
Feature 21: NaN=0, Inf=0, Zero=3
Feature 25: NaN=0, Inf=0, Zero=2
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=109
Feature 29: NaN=0, Inf=0, Zero=11
Feature 31: NaN=0, Inf=0, Zero=16
Feature 32: NaN=0, Inf=0, Zero=106
Feature 33: NaN=0, Inf=0, Zero=1775
Stock 10:
Feature 20: NaN=0, Inf=0, Zero=102
Feature 21: NaN=0, Inf=0, Zero=2
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=102
Feature 29: NaN=0, Inf=0, Zero=6
Feature 31: NaN=0, Inf=0, Zero=19
Feature 32: NaN=0, Inf=0, Zero=99
Feature 33: NaN=0, Inf=0, Zero=1458
Stock 11:
Feature 20: NaN=0, Inf=0, Zero=104
Feature 21: NaN=0, Inf=0, Zero=3
Feature 25: NaN=0, Inf=0, Zero=2
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=104
Feature 29: NaN=0, Inf=0, Zero=6
Feature 31: NaN=0, Inf=0, Zero=17
Feature 32: NaN=0, Inf=0, Zero=101
Feature 33: NaN=0, Inf=0, Zero=1497
Stock 12:
Feature 20: NaN=0, Inf=0, Zero=107
Feature 21: NaN=0, Inf=0, Zero=3
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=106
Feature 29: NaN=0, Inf=0, Zero=8
Feature 30: NaN=0, Inf=0, Zero=1
Feature 31: NaN=0, Inf=0, Zero=13
Feature 32: NaN=0, Inf=0, Zero=103
Feature 33: NaN=0, Inf=0, Zero=1636
Stock 13:
Feature 20: NaN=0, Inf=0, Zero=139
Feature 21: NaN=0, Inf=0, Zero=9
Feature 25: NaN=0, Inf=0, Zero=6
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=139
Feature 29: NaN=0, Inf=0, Zero=21
Feature 30: NaN=0, Inf=0, Zero=3
Feature 31: NaN=0, Inf=0, Zero=36
Feature 32: NaN=0, Inf=0, Zero=136
Feature 33: NaN=0, Inf=0, Zero=2297
Stock 14:
Feature 20: NaN=0, Inf=0, Zero=107
Feature 21: NaN=0, Inf=0, Zero=1
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=107
Feature 29: NaN=0, Inf=0, Zero=10
Feature 31: NaN=0, Inf=0, Zero=17
Feature 32: NaN=0, Inf=0, Zero=104
Feature 33: NaN=0, Inf=0, Zero=1654
Stock 15:
Feature 20: NaN=0, Inf=0, Zero=116
Feature 21: NaN=0, Inf=0, Zero=5
Feature 25: NaN=0, Inf=0, Zero=3
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=116
Feature 29: NaN=0, Inf=0, Zero=6
Feature 31: NaN=0, Inf=0, Zero=25
Feature 32: NaN=0, Inf=0, Zero=113
Feature 33: NaN=0, Inf=0, Zero=2079
Stock 16:
Feature 20: NaN=0, Inf=0, Zero=107
Feature 21: NaN=0, Inf=0, Zero=3
Feature 25: NaN=0, Inf=0, Zero=2
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=107
Feature 29: NaN=0, Inf=0, Zero=7
Feature 31: NaN=0, Inf=0, Zero=18
Feature 32: NaN=0, Inf=0, Zero=104
Feature 33: NaN=0, Inf=0, Zero=1772
Stock 17:
Feature 20: NaN=0, Inf=0, Zero=110
Feature 21: NaN=0, Inf=0, Zero=3
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=110
Feature 29: NaN=0, Inf=0, Zero=3
Feature 31: NaN=0, Inf=0, Zero=20
Feature 32: NaN=0, Inf=0, Zero=107
Feature 33: NaN=0, Inf=0, Zero=1717
Stock 18:
Feature 20: NaN=0, Inf=0, Zero=123
Feature 21: NaN=0, Inf=0, Zero=12
Feature 25: NaN=0, Inf=0, Zero=4
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=123
Feature 29: NaN=0, Inf=0, Zero=17
Feature 30: NaN=0, Inf=0, Zero=1
Feature 31: NaN=0, Inf=0, Zero=29
Feature 32: NaN=0, Inf=0, Zero=120
Feature 33: NaN=0, Inf=0, Zero=2247
Stock 19:
Feature 20: NaN=0, Inf=0, Zero=109
Feature 21: NaN=0, Inf=0, Zero=2
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=109
Feature 29: NaN=0, Inf=0, Zero=11
Feature 31: NaN=0, Inf=0, Zero=24
Feature 32: NaN=0, Inf=0, Zero=106
Feature 33: NaN=0, Inf=0, Zero=1596
Stock 20:
Feature 20: NaN=0, Inf=0, Zero=108
Feature 21: NaN=0, Inf=0, Zero=3
Feature 25: NaN=0, Inf=0, Zero=2
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=108
Feature 29: NaN=0, Inf=0, Zero=8
Feature 30: NaN=0, Inf=0, Zero=2
Feature 31: NaN=0, Inf=0, Zero=17
Feature 32: NaN=0, Inf=0, Zero=105
Feature 33: NaN=0, Inf=0, Zero=1703
Stock 21:
Feature 20: NaN=0, Inf=0, Zero=124
Feature 21: NaN=0, Inf=0, Zero=4
Feature 25: NaN=0, Inf=0, Zero=1
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=124
Feature 29: NaN=0, Inf=0, Zero=11
Feature 31: NaN=0, Inf=0, Zero=19
Feature 32: NaN=0, Inf=0, Zero=121
Feature 33: NaN=0, Inf=0, Zero=1946
Stock 22:
Feature 20: NaN=0, Inf=0, Zero=115
Feature 21: NaN=0, Inf=0, Zero=2
Feature 25: NaN=0, Inf=0, Zero=2
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=115
Feature 29: NaN=0, Inf=0, Zero=8
Feature 31: NaN=0, Inf=0, Zero=17
Feature 32: NaN=0, Inf=0, Zero=112
Feature 33: NaN=0, Inf=0, Zero=1651
Stock 23:
Feature 20: NaN=0, Inf=0, Zero=113
Feature 21: NaN=0, Inf=0, Zero=4
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=113
Feature 29: NaN=0, Inf=0, Zero=21
Feature 31: NaN=0, Inf=0, Zero=27
Feature 32: NaN=0, Inf=0, Zero=110
Feature 33: NaN=0, Inf=0, Zero=1831
Stock 24:
Feature 20: NaN=0, Inf=0, Zero=130
Feature 21: NaN=0, Inf=0, Zero=10
Feature 25: NaN=0, Inf=0, Zero=7
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=130
Feature 29: NaN=0, Inf=0, Zero=28
Feature 30: NaN=0, Inf=0, Zero=2
Feature 31: NaN=0, Inf=0, Zero=35
Feature 32: NaN=0, Inf=0, Zero=127
Feature 33: NaN=0, Inf=0, Zero=2260
Stock 25:
Feature 20: NaN=0, Inf=0, Zero=113
Feature 21: NaN=0, Inf=0, Zero=5
Feature 25: NaN=0, Inf=0, Zero=2
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=113
Feature 29: NaN=0, Inf=0, Zero=5
Feature 30: NaN=0, Inf=0, Zero=1
Feature 31: NaN=0, Inf=0, Zero=19
Feature 32: NaN=0, Inf=0, Zero=110
Feature 33: NaN=0, Inf=0, Zero=1863
Stock 26:
Feature 20: NaN=0, Inf=0, Zero=113
Feature 21: NaN=0, Inf=0, Zero=3
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=113
Feature 29: NaN=0, Inf=0, Zero=11
Feature 30: NaN=0, Inf=0, Zero=1
Feature 31: NaN=0, Inf=0, Zero=13
Feature 32: NaN=0, Inf=0, Zero=110
Feature 33: NaN=0, Inf=0, Zero=1643
Stock 27:
Feature 20: NaN=0, Inf=0, Zero=105
Feature 21: NaN=0, Inf=0, Zero=2
Feature 25: NaN=0, Inf=0, Zero=2
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=105
Feature 29: NaN=0, Inf=0, Zero=10
Feature 31: NaN=0, Inf=0, Zero=16
Feature 32: NaN=0, Inf=0, Zero=102
Feature 33: NaN=0, Inf=0, Zero=1474
Stock 28:
Feature 20: NaN=0, Inf=0, Zero=109
Feature 21: NaN=0, Inf=0, Zero=3
Feature 25: NaN=0, Inf=0, Zero=1
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=109
Feature 29: NaN=0, Inf=0, Zero=6
Feature 31: NaN=0, Inf=0, Zero=31
Feature 32: NaN=0, Inf=0, Zero=106
Feature 33: NaN=0, Inf=0, Zero=1611
Stock 29:
Feature 20: NaN=0, Inf=0, Zero=127
Feature 21: NaN=0, Inf=0, Zero=5
Feature 25: NaN=0, Inf=0, Zero=5
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=127
Feature 29: NaN=0, Inf=0, Zero=24
Feature 31: NaN=0, Inf=0, Zero=23
Feature 32: NaN=0, Inf=0, Zero=124
Feature 33: NaN=0, Inf=0, Zero=2219
Stock 30:
Feature 20: NaN=0, Inf=0, Zero=116
Feature 21: NaN=0, Inf=0, Zero=6
Feature 25: NaN=0, Inf=0, Zero=1
Feature 27: NaN=0, Inf=0, Zero=4
Feature 28: NaN=0, Inf=0, Zero=116
Feature 29: NaN=0, Inf=0, Zero=11
Feature 31: NaN=0, Inf=0, Zero=11
Feature 32: NaN=0, Inf=0, Zero=113
Feature 33: NaN=0, Inf=0, Zero=2048
Summary by feature across all stocks (showing only problematic features):
Feature 20: NaN=0, Inf=0, Zero=3369
Feature 21: NaN=0, Inf=0, Zero=113
Feature 25: NaN=0, Inf=0, Zero=51
Feature 27: NaN=0, Inf=0, Zero=120
Feature 28: NaN=0, Inf=0, Zero=3367
Feature 29: NaN=0, Inf=0, Zero=309
Feature 30: NaN=0, Inf=0, Zero=12
Feature 31: NaN=0, Inf=0, Zero=566
Feature 32: NaN=0, Inf=0, Zero=3277
Feature 33: NaN=0, Inf=0, Zero=53516
==================================================
File Name: data\\DJIA\\feature34-Inter-p532\\market_data.npy
Data Shape: (2673, 27)
Data Type: float64
Checking data\\DJIA\\feature34-Inter-p532\\market_data.npy
NaN count: 0
Inf count: 0
0 count: 1
Detailed Statistics - data\\DJIA\\feature34-Inter-p532\\market_data.npy:
Shape: (2673, 27) - (time_points, num_features)
Feature statistics (showing only problematic features):
Feature 27: NaN=0, Inf=0, Zero=1
==================================================
File Name: data\\DJIA\\feature34-Inter-p532\\ror.npy
Data Shape: (30, 2673)
Data Type: float64
Checking data\\DJIA\\feature34-Inter-p532\\ror.npy
NaN count: 0
Inf count: 0
0 count: 3399
Detailed Statistics - data\\DJIA\\feature34-Inter-p532\\ror.npy:
Shape: (30, 2673) - (num_stocks, time_points)
Stock statistics (showing only problematic stocks):
Stock 1: NaN=0, Inf=0, Zero=107
Stock 2: NaN=0, Inf=0, Zero=105
Stock 3: NaN=0, Inf=0, Zero=110
Stock 4: NaN=0, Inf=0, Zero=105
Stock 5: NaN=0, Inf=0, Zero=107
Stock 6: NaN=0, Inf=0, Zero=111
Stock 7: NaN=0, Inf=0, Zero=124
Stock 8: NaN=0, Inf=0, Zero=111
Stock 9: NaN=0, Inf=0, Zero=114
Stock 10: NaN=0, Inf=0, Zero=108
Stock 11: NaN=0, Inf=0, Zero=104
Stock 12: NaN=0, Inf=0, Zero=110
Stock 13: NaN=0, Inf=0, Zero=137
Stock 14: NaN=0, Inf=0, Zero=111
Stock 15: NaN=0, Inf=0, Zero=115
Stock 16: NaN=0, Inf=0, Zero=110
Stock 17: NaN=0, Inf=0, Zero=106
Stock 18: NaN=0, Inf=0, Zero=130
Stock 19: NaN=0, Inf=0, Zero=105
Stock 20: NaN=0, Inf=0, Zero=107
Stock 21: NaN=0, Inf=0, Zero=118
Stock 22: NaN=0, Inf=0, Zero=107
Stock 23: NaN=0, Inf=0, Zero=116
Stock 24: NaN=0, Inf=0, Zero=128
Stock 25: NaN=0, Inf=0, Zero=111
Stock 26: NaN=0, Inf=0, Zero=112
Stock 27: NaN=0, Inf=0, Zero=105
Stock 28: NaN=0, Inf=0, Zero=116
Stock 29: NaN=0, Inf=0, Zero=131
Stock 30: NaN=0, Inf=0, Zero=118
==================================================
File Name: data\\DJIA\\feature34-Inter-p532\\industry_classification.npy
Data Shape: (30, 30)
Data Type: float64
Checking data\\DJIA\\feature34-Inter-p532\\industry_classification.npy
NaN count: 0
Inf count: 0
0 count: 0