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