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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 26 new columns ({'news_inventory_count_1h', 'news_other_count_1h', 'news_count_1h', 'news_geo_count_1h', 'uso_ret_7h', 'news_inventory_count_6h', 'uso_ret_1h', 'ma_20h', 'news_count_6h', 'news_geo_count_6h', 'news_price_count_6h', 'news_opec_count_6h', 'news_opec_count_1h', 'news_sent_mean_6h', 'oil_event_count_6h', 'ma_7h', 'news_macro_count_6h', 'news_other_count_6h', 'vol_20h', 'news_supply_demand_count_6h', 'news_macro_count_1h', 'symbol', 'news_price_count_1h', 'vol_7h', 'news_supply_demand_count_1h', 'rsi_14h'}) and 33 missing columns ({'uso_adj_close', 'vol_20d', 'dbo_ret_1d', 'ma_20', 'ema_12', 'brent_ret_1d', 'wti_ret_1d', 'uso_ret_20d', 'uso_ret_5d', 'oil_event_count', 'news_count', 'atr_14', 'eia_crude_inv_change', 'eia_gasoline_inv_change', 'vol_5d', 'macd', 'boll_z', 'vix_change', 'eia_distillate_inv_change', 'brent_wti_spread', 'ema_26', 'dxy_change', 'bno_ret_1d', 'macd_signal', 'xle_ret_1d', 'ma_60', 'news_sent_max', 'drawdown_20d', 'ma_5', 'news_sent_mean', 'uso_ret_1d', 'spy_ret_1d', 'rsi_14'}).

This happened while the csv dataset builder was generating data using

hf://datasets/2018wzh/oiletf-timemmd/numerical/OilETF/OilETF_intraday.csv (at revision e7c004c3cca8d7ce599268367bc14bd370c4a545), ['hf://datasets/2018wzh/oiletf-timemmd@e7c004c3cca8d7ce599268367bc14bd370c4a545/numerical/OilETF/OilETF.csv', 'hf://datasets/2018wzh/oiletf-timemmd@e7c004c3cca8d7ce599268367bc14bd370c4a545/numerical/OilETF/OilETF_intraday.csv', 'hf://datasets/2018wzh/oiletf-timemmd@e7c004c3cca8d7ce599268367bc14bd370c4a545/raw/calendar/calendar.csv', 'hf://datasets/2018wzh/oiletf-timemmd@e7c004c3cca8d7ce599268367bc14bd370c4a545/raw/news/raw_news.csv', 'hf://datasets/2018wzh/oiletf-timemmd@e7c004c3cca8d7ce599268367bc14bd370c4a545/raw/oil_macro/raw_oil_macro.csv', 'hf://datasets/2018wzh/oiletf-timemmd@e7c004c3cca8d7ce599268367bc14bd370c4a545/raw/prices/raw_prices.csv', 'hf://datasets/2018wzh/oiletf-timemmd@e7c004c3cca8d7ce599268367bc14bd370c4a545/raw/reports/raw_reports.csv', 'hf://datasets/2018wzh/oiletf-timemmd@e7c004c3cca8d7ce599268367bc14bd370c4a545/textual/OilETF/OilETF_intraday_search.csv', 'hf://datasets/2018wzh/oiletf-timemmd@e7c004c3cca8d7ce599268367bc14bd370c4a545/textual/OilETF/OilETF_report.csv', 'hf://datasets/2018wzh/oiletf-timemmd@e7c004c3cca8d7ce599268367bc14bd370c4a545/textual/OilETF/OilETF_search.csv']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              symbol: string
              start_date: string
              end_date: string
              OT: double
              uso_open: double
              uso_high: double
              uso_low: double
              uso_close: double
              uso_volume: int64
              uso_ret_1h: double
              uso_ret_7h: double
              vol_7h: double
              vol_20h: double
              ma_7h: double
              ma_20h: double
              rsi_14h: double
              news_count_1h: int64
              news_count_6h: int64
              news_price_count_1h: double
              news_opec_count_1h: double
              news_inventory_count_1h: double
              news_geo_count_1h: double
              news_macro_count_1h: double
              news_supply_demand_count_1h: double
              news_other_count_1h: double
              news_price_count_6h: double
              news_opec_count_6h: double
              news_inventory_count_6h: double
              news_geo_count_6h: double
              news_macro_count_6h: double
              news_supply_demand_count_6h: double
              news_other_count_6h: double
              news_sent_mean_6h: double
              oil_event_count_6h: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 4628
              to
              {'start_date': Value('string'), 'end_date': Value('string'), 'OT': Value('float64'), 'uso_open': Value('float64'), 'uso_high': Value('float64'), 'uso_low': Value('float64'), 'uso_close': Value('float64'), 'uso_adj_close': Value('float64'), 'uso_volume': Value('int64'), 'uso_ret_1d': Value('float64'), 'uso_ret_5d': Value('float64'), 'uso_ret_20d': Value('float64'), 'bno_ret_1d': Value('float64'), 'dbo_ret_1d': Value('float64'), 'vol_5d': Value('float64'), 'vol_20d': Value('float64'), 'ma_5': Value('float64'), 'ma_20': Value('float64'), 'ma_60': Value('float64'), 'ema_12': Value('float64'), 'ema_26': Value('float64'), 'rsi_14': Value('float64'), 'macd': Value('float64'), 'macd_signal': Value('float64'), 'boll_z': Value('float64'), 'atr_14': Value('float64'), 'drawdown_20d': Value('float64'), 'wti_ret_1d': Value('float64'), 'brent_ret_1d': Value('float64'), 'brent_wti_spread': Value('float64'), 'xle_ret_1d': Value('float64'), 'spy_ret_1d': Value('float64'), 'vix_change': Value('float64'), 'dxy_change': Value('float64'), 'eia_crude_inv_change': Value('float64'), 'eia_gasoline_inv_change': Value('float64'), 'eia_distillate_inv_change': Value('float64'), 'news_count': Value('float64'), 'news_sent_mean': Value('float64'), 'news_sent_max': Value('float64'), 'oil_event_count': Value('float64')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 26 new columns ({'news_inventory_count_1h', 'news_other_count_1h', 'news_count_1h', 'news_geo_count_1h', 'uso_ret_7h', 'news_inventory_count_6h', 'uso_ret_1h', 'ma_20h', 'news_count_6h', 'news_geo_count_6h', 'news_price_count_6h', 'news_opec_count_6h', 'news_opec_count_1h', 'news_sent_mean_6h', 'oil_event_count_6h', 'ma_7h', 'news_macro_count_6h', 'news_other_count_6h', 'vol_20h', 'news_supply_demand_count_6h', 'news_macro_count_1h', 'symbol', 'news_price_count_1h', 'vol_7h', 'news_supply_demand_count_1h', 'rsi_14h'}) and 33 missing columns ({'uso_adj_close', 'vol_20d', 'dbo_ret_1d', 'ma_20', 'ema_12', 'brent_ret_1d', 'wti_ret_1d', 'uso_ret_20d', 'uso_ret_5d', 'oil_event_count', 'news_count', 'atr_14', 'eia_crude_inv_change', 'eia_gasoline_inv_change', 'vol_5d', 'macd', 'boll_z', 'vix_change', 'eia_distillate_inv_change', 'brent_wti_spread', 'ema_26', 'dxy_change', 'bno_ret_1d', 'macd_signal', 'xle_ret_1d', 'ma_60', 'news_sent_max', 'drawdown_20d', 'ma_5', 'news_sent_mean', 'uso_ret_1d', 'spy_ret_1d', 'rsi_14'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/2018wzh/oiletf-timemmd/numerical/OilETF/OilETF_intraday.csv (at revision e7c004c3cca8d7ce599268367bc14bd370c4a545), ['hf://datasets/2018wzh/oiletf-timemmd@e7c004c3cca8d7ce599268367bc14bd370c4a545/numerical/OilETF/OilETF.csv', 'hf://datasets/2018wzh/oiletf-timemmd@e7c004c3cca8d7ce599268367bc14bd370c4a545/numerical/OilETF/OilETF_intraday.csv', 'hf://datasets/2018wzh/oiletf-timemmd@e7c004c3cca8d7ce599268367bc14bd370c4a545/raw/calendar/calendar.csv', 'hf://datasets/2018wzh/oiletf-timemmd@e7c004c3cca8d7ce599268367bc14bd370c4a545/raw/news/raw_news.csv', 'hf://datasets/2018wzh/oiletf-timemmd@e7c004c3cca8d7ce599268367bc14bd370c4a545/raw/oil_macro/raw_oil_macro.csv', 'hf://datasets/2018wzh/oiletf-timemmd@e7c004c3cca8d7ce599268367bc14bd370c4a545/raw/prices/raw_prices.csv', 'hf://datasets/2018wzh/oiletf-timemmd@e7c004c3cca8d7ce599268367bc14bd370c4a545/raw/reports/raw_reports.csv', 'hf://datasets/2018wzh/oiletf-timemmd@e7c004c3cca8d7ce599268367bc14bd370c4a545/textual/OilETF/OilETF_intraday_search.csv', 'hf://datasets/2018wzh/oiletf-timemmd@e7c004c3cca8d7ce599268367bc14bd370c4a545/textual/OilETF/OilETF_report.csv', 'hf://datasets/2018wzh/oiletf-timemmd@e7c004c3cca8d7ce599268367bc14bd370c4a545/textual/OilETF/OilETF_search.csv']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

start_date
string
end_date
string
OT
float64
uso_open
float64
uso_high
float64
uso_low
float64
uso_close
float64
uso_adj_close
float64
uso_volume
int64
uso_ret_1d
float64
uso_ret_5d
null
uso_ret_20d
null
bno_ret_1d
float64
dbo_ret_1d
float64
vol_5d
null
vol_20d
null
ma_5
float64
ma_20
null
ma_60
null
ema_12
float64
ema_26
float64
rsi_14
null
macd
float64
macd_signal
float64
boll_z
null
atr_14
null
drawdown_20d
null
wti_ret_1d
float64
brent_ret_1d
float64
brent_wti_spread
float64
xle_ret_1d
float64
spy_ret_1d
float64
vix_change
float64
dxy_change
float64
eia_crude_inv_change
float64
eia_gasoline_inv_change
float64
eia_distillate_inv_change
float64
news_count
float64
news_sent_mean
float64
news_sent_max
float64
oil_event_count
float64
2016-01-04
2016-01-04
null
90.080002
91.360001
86.559998
87.839996
87.839996
4,529,588
null
null
null
null
null
null
null
null
null
null
87.839996
87.839996
null
0
0
null
null
null
null
null
-0.53
null
null
null
null
null
null
null
0
0
0
0
2016-01-05
2016-01-05
-0.029577
86.400002
86.959999
85.120003
85.279999
85.279999
4,021,700
-0.029577
null
null
-0.028124
-0.03022
null
null
null
null
null
87.446151
87.650367
null
-0.204216
-0.040843
null
null
null
-0.023084
-0.020045
-0.41
0.003807
0.00169
-0.065701
0.000662
null
null
null
0
0
0
0
2016-01-06
2016-01-06
-0.052973
82.400002
83.760002
80.480003
80.879997
80.879997
9,135,888
-0.052973
null
null
-0.0543
-0.048904
null
null
null
null
null
86.435973
87.148858
null
-0.712885
-0.175252
null
null
null
-0.057207
-0.048101
-0.08
-0.039254
-0.012694
0.064633
0.003371
null
null
null
0
0
0
0
2016-01-07
2016-01-07
-0.02099
79.120003
81.599998
78.800003
79.199997
79.199997
6,499,713
-0.02099
null
null
-0.019679
-0.022934
null
null
null
null
null
85.322746
86.560054
null
-1.237307
-0.387663
null
null
null
-0.020221
-0.009487
0.28
-0.024701
-0.024284
0.213696
0.000627
0
0
0
0
0
0
0
2016-01-08
2016-01-08
-0.010152
79.599998
80.160004
77.68
78.400002
78.400002
5,586,050
-0.010152
null
null
-0.010899
-0.012285
null
null
82.319998
null
null
84.257708
85.955605
null
-1.697897
-0.64971
null
null
null
-0.002707
-0.058263
-1.53
-0.01294
-0.011037
0.080832
0.00299
0
0
0
0
0
0
0
2016-01-11
2016-01-11
-0.057759
77.760002
78.080002
73.599998
74
74
10,285,050
-0.057759
null
null
-0.065087
-0.054617
null
null
79.551999
null
null
82.679599
85.070005
null
-2.390405
-0.997849
null
null
null
-0.055105
-0.049517
-1.28
-0.021642
0.00099
-0.100333
-0.000158
0
0
0
0
0
0
0
2016-01-12
2016-01-12
-0.008686
75.440002
75.839996
71.199997
73.360001
73.360001
12,760,663
-0.008686
null
null
-0.012752
-0.007864
null
null
77.167999
null
null
81.245815
84.202597
null
-2.956782
-1.389635
null
null
null
-0.032344
-0.033741
-1.28
0.002367
0.008036
-0.075309
0.002331
0
0
0
0
0
0
0
2016-01-13
2016-01-13
-0.008762
74.400002
75.120003
71.440002
72.720001
72.720001
12,569,463
-0.008762
null
null
-0.02803
-0.013245
null
null
75.536
null
null
79.934151
83.352034
null
-3.417883
-1.795285
null
null
null
0
-0.019405
-1.84
-0.024302
-0.025257
0.122385
-0.001359
234
8,438
6,136
0
0
0
0
2016-01-14
2016-01-14
0.015284
73.120003
74.720001
72.32
73.839996
73.839996
5,953,413
0.015284
null
null
0.018109
0.018494
null
null
74.464
null
null
78.996589
82.647439
null
-3.65085
-2.166398
null
null
null
0.025959
0.009056
-2.38
0.042148
0.016284
-0.050357
0.001991
0
0
0
0
0
0
0
2016-01-15
2016-01-15
-0.048844
70.32
71.199997
69.120003
70.32
70.32
11,602,613
-0.048844
null
null
-0.057452
-0.048267
null
null
72.848
null
null
77.661729
81.734295
null
-4.072566
-2.547632
null
null
null
-0.058365
-0.001388
-0.65
-0.029371
-0.0217
0.128184
0.002794
0
0
0
0
0
0
0
2016-01-19
2016-01-19
-0.034726
70
70.160004
67.599998
67.919998
67.919998
7,540,325
-0.034726
null
null
-0.011684
-0.033523
null
null
71.631999
null
null
76.163001
80.711014
null
-4.548013
-2.947708
null
null
null
-0.033843
-0.051293
-1.11
-0.021762
0.00133
-0.035899
0.000366
0
0
0
0
0
0
0
2016-01-20
2016-01-20
-0.029889
66.720001
66.959999
63.360001
65.919998
65.919998
10,401,950
-0.029889
null
null
-0.022691
-0.034686
null
null
70.143999
null
null
74.587155
79.615383
null
-5.028229
-3.363812
null
null
null
-0.064937
-0.050601
-0.67
-0.026872
-0.012898
0.059117
0.004559
3,979
4,563
-1,025
0
0
0
0
2016-01-21
2016-01-21
0.0381
64.800003
69.519997
64.480003
68.480003
68.480003
10,902,175
0.0381
null
null
0.036485
0.038938
null
null
69.295999
null
null
73.647593
78.79054
null
-5.142947
-3.719639
null
null
null
0.10217
0.058972
-1.96
0.030625
0.005586
-0.032621
-0.00268
0
0
0
0
0
0
0
2016-01-22
2016-01-22
0.079683
72.720001
74.32
71.760002
74.160004
74.160004
7,819,525
0.079683
null
null
0.090605
0.082759
null
null
69.360001
null
null
73.726425
78.447538
null
-4.721112
-3.919934
null
null
null
0.081837
0.098961
-1.61
0.043262
0.020308
-0.162982
null
0
0
0
0
0
0
0
2016-01-25
2016-01-25
-0.082022
71.519997
72.959999
68.32
68.32
68.32
6,934,875
-0.082022
null
null
-0.061527
-0.081346
null
null
68.960001
null
null
72.894668
77.69735
null
-4.802682
-4.096483
null
null
null
-0.056443
-0.021235
-0.49
-0.047768
-0.015232
0.081021
null
0
0
0
0
0
0
0
2016-01-26
2016-01-26
0.049125
70.480003
74.480003
69.919998
71.760002
71.760002
6,430,600
0.049125
null
null
0.046008
0.049597
null
null
69.728001
null
null
72.720104
77.257546
null
-4.537442
-4.184675
null
null
null
-0.025732
0.036871
1.4
0.037127
0.013551
-0.068323
null
0
0
0
0
0
0
0
2016-01-27
2016-01-27
0.023142
71.360001
75.440002
70.32
73.440002
73.440002
8,928,713
0.023142
null
null
0.036472
0.018642
null
null
71.232002
null
null
72.830857
76.974765
null
-4.143908
-4.176522
null
null
null
0.089941
0.028359
-0.49
-0.004726
-0.010943
0.027111
null
8,383
3,464
-4,057
0
0
0
0
2016-01-28
2016-01-28
0.055099
78.400002
78.879997
75.279999
77.599998
77.599998
8,268,888
0.055099
null
null
0.053224
0.056425
null
null
73.056001
null
null
73.564571
77.021079
null
-3.456507
-4.032519
null
null
null
0.027165
0.036401
-0.2
0.029971
0.005196
-0.029857
-0.002354
0
0
0
0
0
0
0
2016-01-29
2016-01-29
-0.005168
78.160004
79.040001
75.040001
77.199997
77.199997
5,901,213
-0.005168
null
null
0.013316
-0.002497
null
null
73.664
null
null
74.123868
77.034332
null
-2.910464
-3.808108
null
null
null
0.013459
0.00393
-0.52
0.028755
0.024085
-0.099019
0.002587
0
0
0
0
0
0
0
2016-02-01
2016-02-01
-0.067513
74.800003
74.879997
71.919998
72.160004
72.160004
6,111,225
-0.067513
null
null
-0.054361
-0.071228
null
null
74.432001
null
null
73.821735
76.673271
null
-2.851536
-3.616794
null
null
null
-0.06252
-0.021041
0.83
-0.016804
-0.000361
-0.010891
-0.001658
0
0
0
0
0
0
0
2016-02-02
2016-02-02
-0.051177
69.760002
70.480003
68.480003
68.559998
68.559998
5,554,688
-0.051177
null
null
-0.039891
-0.048119
null
null
73.792
null
null
73.012237
76.072287
null
-3.060051
-3.505445
null
null
null
-0.055931
-0.046359
1.08
-0.033938
-0.018187
0.1001
0.002141
0
0
0
0
0
0
0
2016-02-03
2016-02-03
0.086039
70.720001
74.800003
68.32
74.720001
74.720001
9,030,788
0.086039
null
null
0.078252
0.075917
null
null
74.048
null
null
73.27497
75.972118
null
-2.697148
-3.343786
null
null
null
0.076899
0.044199
0.09
0.034985
0.005977
-0.015014
-0.007509
7,792
5,938
-777
0
0
0
0
2016-02-04
2016-02-04
-0.023836
76.400002
77.199997
72.480003
72.959999
72.959999
5,623,150
-0.023836
null
null
-0.023573
-0.01579
null
null
73.12
null
null
73.226513
75.748998
null
-2.522485
-3.179526
null
null
null
-0.020652
0.011667
1.13
-0.000524
0.001567
0.008776
-0.008666
0
0
0
0
0
0
0
2016-02-05
2016-02-05
-0.023296
72.32
73.839996
70.400002
71.279999
71.279999
4,355,950
-0.023296
null
null
-0.009217
-0.009327
null
null
71.936
null
null
72.927049
75.417961
null
-2.490912
-3.041803
null
null
null
-0.024645
-0.012594
1.49
-0.023497
-0.019234
0.070513
0.005776
0
0
0
0
0
0
0
2016-02-08
2016-02-08
-0.030772
70.160004
70.559998
68.160004
69.120003
69.120003
4,787,288
-0.030772
null
null
-0.033902
-0.028515
null
null
71.328
null
null
72.34135
74.951446
null
-2.610096
-2.955462
null
null
null
-0.037977
-0.022192
1.93
-0.005198
-0.013552
0.112062
0.001104
0
0
0
0
0
0
0
2016-02-09
2016-02-09
-0.05471
68.080002
69.360001
63.759998
65.440002
65.440002
7,226,550
-0.05471
null
null
-0.065305
-0.043638
null
null
70.704001
null
null
71.279604
74.246894
null
-2.96729
-2.957827
null
null
null
-0.060709
-0.048237
2.19
-0.024374
0.000054
0.020769
-0.002297
0
0
0
0
0
0
0
2016-02-10
2016-02-10
-0.027263
63.759998
67.199997
63.119999
63.68
63.68
8,022,850
-0.027263
null
null
0.001022
-0.00144
null
null
68.496001
null
null
70.110434
73.464161
null
-3.353727
-3.037007
null
null
null
-0.015135
-0.01706
2.1
-0.004059
-0.000863
-0.00942
0.000964
-668
1,258
1,281
0
0
0
0
2016-02-11
2016-02-11
0.003762
62.560001
64.239998
61.360001
63.919998
63.919998
11,998,838
0.003762
null
null
0.011173
0.014306
null
null
66.688
null
null
69.158059
72.757186
null
-3.599127
-3.149431
null
null
null
-0.050262
-0.028055
2.63
-0.004261
-0.013093
0.070369
-0.00078
0
0
0
0
0
0
0
2016-02-12
2016-02-12
0.041673
65.279999
68.160004
64.080002
66.639999
66.639999
8,488,400
0.041673
null
null
0.046382
0.022473
null
null
65.760001
null
null
68.770665
72.304061
null
-3.533396
-3.226224
null
null
null
0.112892
0.098397
2.48
0.026023
0.020407
-0.09737
0.001097
0
0
0
0
0
0
0
2016-02-16
2016-02-16
-0.002404
67.919998
68.160004
65.440002
66.480003
66.480003
6,118,750
-0.002404
null
null
-0.016529
-0.018221
null
null
65.232001
null
null
68.418256
71.87265
null
-3.454394
-3.271858
null
null
null
-0.009251
-0.02258
2.04
0.0099
0.016737
-0.050787
0.00074
0
0
0
0
0
0
0
2016-02-17
2016-02-17
0.055017
67.440002
71.199997
67.120003
70.239998
70.239998
7,534,175
0.055017
null
null
0.061777
0.041557
null
null
66.192
null
null
68.698524
71.751713
null
-3.053189
-3.228124
null
null
null
0.054592
0.065965
2.53
0.032252
0.016203
-0.074658
-0.005015
2,147
3,036
1,399
0
0
0
0
2016-02-18
2016-02-18
-0.013762
72.239998
72.559998
69.199997
69.279999
69.279999
6,923,763
-0.013762
null
null
-0.013921
-0.020563
null
null
67.312
null
null
68.787982
71.568623
null
-2.780641
-3.138628
null
null
null
0.002929
-0.000301
2.43
-0.012566
-0.004104
-0.030031
0.000122
0
0
0
0
0
0
0
2016-02-19
2016-02-19
-0.012783
68.400002
68.800003
66.800003
68.400002
68.400002
5,945,325
-0.012783
null
null
-0.016015
-0.008345
null
null
68.208
null
null
68.728292
71.33391
null
-2.605618
-3.032026
null
null
null
-0.039104
-0.047496
2.07
-0.002286
-0.000469
-0.051294
0.000631
0
0
0
0
0
0
0
2016-02-22
2016-02-22
0.041243
71.199997
72.080002
70.720001
71.279999
71.279999
6,746,513
0.041243
null
null
0.040936
0.023465
null
null
69.136
null
null
69.120863
71.329917
null
-2.209054
-2.867431
null
null
null
0.058416
0.059174
2.22
0.025203
0.014375
-0.056016
-0.001489
0
0
0
0
0
0
0
2016-02-23
2016-02-23
-0.049464
70.080002
70.080002
67.440002
67.839996
67.839996
7,803,400
-0.049464
null
null
-0.035254
-0.029068
null
null
69.407999
null
null
68.923806
71.071404
null
-2.147598
-2.723465
null
null
null
0.014871
-0.051622
0.06
-0.034754
-0.01271
0.082559
0.002921
0
0
0
0
0
0
0
2016-02-24
2016-02-24
0.012888
65.519997
69.040001
65.120003
68.720001
68.720001
6,023,738
0.012888
null
null
0.02977
0.018094
null
null
69.103999
null
null
68.892452
70.897226
null
-2.004774
-2.579727
null
null
null
-0.047927
-0.012618
1.15
0.010079
0.004565
-0.012393
-0.000118
3,502
-2,236
-1,660
0
0
0
0
2016-02-25
2016-02-25
0.024153
67.839996
71.360001
66.239998
70.400002
70.400002
4,938,338
0.024153
null
null
0.010032
0.005502
null
null
69.328
null
null
69.124382
70.860395
null
-1.736012
-2.410984
null
null
null
0.034011
0.041355
1.43
0.000879
0.012039
-0.077703
-0.001836
0
0
0
0
0
0
0
2016-02-26
2016-02-26
-0.002275
73.120003
73.279999
69.599998
70.239998
70.239998
7,349,925
-0.002275
null
null
0.002719
-0.006882
null
null
69.695999
null
null
69.296016
70.814439
null
-1.518424
-2.232472
null
null
null
0.00793
0.085487
4.11
0.005959
-0.002304
0.03663
0.003813
0
0
0
0
0
0
0
2016-02-29
2016-02-29
0.024748
70.879997
72.32
70.239998
72
72
6,325,550
0.024748
null
null
0.028548
0.019152
null
null
69.839999
null
null
69.712013
70.902259
null
-1.190245
-2.024026
null
null
null
0.033859
0.004464
3.18
-0.011423
-0.007873
0.037355
-0.000979
0
0
0
0
0
0
0
2016-03-01
2016-03-01
0.016529
71.839996
74.080002
71.120003
73.199997
73.199997
5,950,675
0.016529
null
null
0.005263
0.001354
null
null
70.912
null
null
70.248626
71.072461
null
-0.823835
-1.783988
null
null
null
0.049168
-0.005304
1.34
0.025821
0.023235
-0.138686
-0.002702
0
0
0
0
0
0
0
2016-03-02
2016-03-02
0.016261
72.080002
74.879997
71.519997
74.400002
74.400002
6,188,488
0.016261
null
null
0.009578
0.001352
null
null
72.048
null
null
70.887299
71.318946
null
-0.431647
-1.51352
null
null
null
0.00522
0.018029
1.81
0.024163
0.004482
-0.034463
-0.001035
10,374
-1,468
2,882
0
0
0
0
2016-03-03
2016-03-03
-0.005391
73.040001
75.279999
72.879997
74
74
4,296,738
-0.005391
null
null
0
0.002699
null
null
72.767999
null
null
71.366176
71.517542
null
-0.151366
-1.241089
null
null
null
-0.000289
-0.017469
1.19
0.015018
0.003912
-0.02282
-0.00471
0
0
0
0
0
0
0
2016-03-04
2016-03-04
0.042334
74.32
77.199997
73.440002
77.199997
77.199997
6,121,725
0.042334
null
null
0.045732
0.035742
null
null
74.159999
null
null
72.263687
71.938465
null
0.325222
-0.927827
null
null
null
0.038319
0.05072
1.7
0.00956
0.003248
0.009581
-0.005462
0
0
0
0
0
0
0
2016-03-07
2016-03-07
0.046567
77.440002
81.199997
77.360001
80.879997
80.879997
8,387,150
0.046567
null
null
0.045315
0.031992
null
null
75.935999
null
null
73.589273
72.600801
null
0.988473
-0.544567
null
null
null
0.053935
0.036804
1.12
0.023187
0.000798
0.029063
-0.000011
0
0
0
0
0
0
0
2016-03-08
2016-03-08
-0.046567
80.32
80.32
77.199997
77.199997
77.199997
5,712,563
-0.046567
null
null
-0.032157
-0.035901
null
null
76.735999
null
null
74.144769
72.941482
null
1.203287
-0.194996
null
null
null
-0.032992
0.003581
2.49
-0.042901
-0.010978
0.076081
0.001834
0
0
0
0
0
0
0
2016-03-09
2016-03-09
0.050516
78.959999
81.68
78.800003
81.199997
81.199997
5,498,163
0.050516
null
null
0.036105
0.029584
null
null
78.095998
null
null
75.230189
73.553224
null
1.676965
0.179396
null
null
null
0.025577
0.027703
2.64
0.016099
0.004927
-0.017675
-0.003424
4,144
-4,526
-1,119
0
0
0
0
2016-03-10
2016-03-10
-0.010897
79.68
80.959999
79.040001
80.32
80.32
4,136,200
-0.010897
null
null
-0.019094
-0.007634
null
null
79.359998
null
null
76.013237
74.054466
null
1.95877
0.535271
null
null
null
0.003979
-0.041329
0.86
0.000823
0.000802
-0.015812
-0.000104
0
0
0
0
0
0
0
2016-03-11
2016-03-11
0.01483
81.68
82.32
80.480003
81.519997
81.519997
3,518,000
0.01483
null
null
0.007203
0.006365
null
null
80.223997
null
null
76.860431
74.607469
null
2.252962
0.878809
null
null
null
0.019403
0.01999
0.9
0.025499
0.016008
-0.085873
-0.005114
0
0
0
0
0
0
0
2016-03-14
2016-03-14
-0.030894
79.360001
79.440002
78.080002
79.040001
79.040001
4,664,588
-0.030894
null
null
-0.020138
-0.024407
null
null
79.855998
null
null
77.195749
74.935804
null
2.259945
1.155036
null
null
null
-0.034609
-0.034856
0.86
-0.006596
-0.001283
0.025455
0.003477
0
0
0
0
0
0
0
2016-03-15
2016-03-15
-0.018387
77.839996
77.919998
76.720001
77.599998
77.599998
4,433,888
-0.018387
null
null
-0.021382
-0.013089
null
null
79.935999
null
null
77.257941
75.133152
null
2.124789
1.348987
null
null
null
-0.02394
-0.01509
1.17
-0.001939
-0.001631
-0.004728
0.003338
0
0
0
0
0
0
0
2016-03-16
2016-03-16
0.048299
79.279999
81.599998
79.279999
81.440002
81.440002
4,788,963
0.048299
null
null
0.037525
0.027292
null
null
79.984
null
null
77.901335
75.600326
null
2.301009
1.539391
null
null
null
0.05647
0.023462
-0.05
0.017157
0.005771
-0.109858
0.001733
1,317
-747
-1,135
0
0
0
0
2016-03-17
2016-03-17
0.035701
82.959999
84.800003
82.32
84.400002
84.400002
5,133,838
0.035701
null
null
0.026078
0.020305
null
null
80.8
null
null
78.90113
76.252154
null
2.648976
1.761308
null
null
null
0.044282
0.023434
-0.88
0.01358
0.006324
-0.036691
-0.019725
0
0
0
0
0
0
0
2016-03-18
2016-03-18
-0.006657
85.68
86.400002
83.440002
83.839996
83.839996
4,864,950
-0.006657
null
null
0.001559
0
null
null
81.264
null
null
79.660956
76.814216
null
2.846739
1.978394
null
null
null
-0.01758
-0.000764
-0.21
-0.004244
-0.001222
-0.029086
-0.00036
0
0
0
0
0
0
0
2016-03-21
2016-03-21
0.010442
84
84.959999
82.879997
84.720001
84.720001
4,374,413
0.010442
null
null
0.006211
0.008756
null
null
82.4
null
null
80.43927
77.39983
null
3.03944
2.190604
null
null
null
0.011086
0.016421
0
-0.003471
0.001418
-0.016405
0.002794
0
0
0
0
0
0
0
2016-03-22
2016-03-22
-0.004733
83.279999
85.120003
83.040001
84.32
84.32
3,535,925
-0.004733
null
null
0.005403
0.004969
null
null
83.744
null
null
81.036306
77.912435
null
3.12387
2.377257
null
null
null
0.037861
0.015662
-0.91
-0.005547
-0.000538
0.027556
0.000207
0
0
0
0
0
0
0
2016-03-23
2016-03-23
-0.041653
82.639999
82.959999
80.639999
80.879997
80.879997
5,024,275
-0.041653
null
null
-0.033663
-0.025095
null
null
83.631999
null
null
81.012258
78.132255
null
2.880004
2.477806
null
null
null
-0.07956
-0.042838
0.56
-0.022177
-0.006621
0.05434
0.006572
9,357
-4,642
917
0
0
0
0
2016-03-24
2016-03-24
-0.004958
78.239998
80.800003
77.919998
80.480003
80.480003
6,322,038
-0.004958
null
null
-0.00319
-0.008934
null
null
82.848
null
null
80.930373
78.306162
null
2.624211
2.507087
null
null
null
-0.003664
-0.013218
0.19
0.004863
-0.000443
-0.013387
0.002446
0
0
0
0
0
0
0
2016-03-28
2016-03-28
-0.004983
80.080002
80.480003
78.959999
80.080002
80.080002
3,406,013
-0.004983
null
null
-0.0032
-0.001283
null
null
82.096001
null
null
80.799547
78.437558
null
2.361989
2.478068
null
null
null
-0.003941
0
0.34
-0.005351
0.000591
0.033921
-0.003707
0
0
0
0
0
0
0
2016-03-29
2016-03-29
-0.021202
77.68
78.559998
77.040001
78.400002
78.400002
4,371,825
-0.021202
null
null
-0.020235
-0.010323
null
null
80.832001
null
null
80.430386
78.434776
null
1.99561
2.381576
null
null
null
-0.02884
-0.042095
-0.16
0.004704
0.009208
-0.093176
0.000201
0
0
0
0
0
0
0
2016-03-30
2016-03-30
-0.007169
79.919998
81.040001
77.599998
77.839996
77.839996
4,619,325
-0.007169
null
null
-0.001637
0.006464
null
null
79.536
null
null
80.031864
78.390718
null
1.641146
2.23349
null
null
null
0
0
-0.16
0.00194
0.004378
-0.018813
-0.010103
2,299
-2,514
-1,075
0
0
0
0
2016-03-31
2016-03-31
-0.003088
77.440002
79.360001
77.360001
77.599998
77.599998
4,086,550
-0.003088
null
null
0.004087
0.001288
null
null
78.88
null
null
79.657731
78.332146
null
1.325585
2.051909
null
null
null
0.000812
0
-0.19
-0.000485
-0.00243
0.028761
-0.003035
0
0
0
0
0
0
0
2016-04-01
2016-04-01
-0.038891
75.279999
75.68
74.559998
74.639999
74.639999
5,033,263
-0.038891
null
null
-0.03909
-0.038037
null
null
77.712
null
null
78.885772
78.058654
null
0.827119
1.806951
null
null
null
-0.043714
-0.00902
1.06
-0.013502
0.006789
-0.060932
0.003396
0
0
0
0
0
0
0
2016-04-04
2016-04-04
-0.027161
74.559998
75.68
72.400002
72.639999
72.639999
4,840,888
-0.027161
null
null
-0.024905
-0.022989
null
null
76.223999
null
null
77.924884
77.657272
null
0.267612
1.499083
null
null
null
-0.030436
-0.010211
1.75
-0.007397
-0.003243
0.077863
0.001079
0
0
0
0
0
0
0
2016-04-05
2016-04-05
0.005492
72.559998
73.519997
71.919998
73.040001
73.040001
5,333,550
0.005492
null
null
0.006932
-0.005487
null
null
75.151999
null
null
77.173364
77.315252
null
-0.141888
1.170889
null
null
null
0.006394
-0.004727
1.36
-0.006788
-0.010038
0.092068
0.004468
0
0
0
0
0
0
0
2016-04-06
2016-04-06
0.050197
75.040001
77.040001
74.559998
76.800003
76.800003
5,712,075
0.050197
null
null
0.04805
0.03381
null
null
74.944
null
null
77.115924
77.277085
null
-0.161162
0.904479
null
null
null
0.089182
0.051335
0.03
0.021365
0.010862
-0.086252
-0.003474
-5,218
1,438
1,799
0
0
0
0
2016-04-07
2016-04-07
-0.009419
75.919998
76.400002
74.639999
76.080002
76.080002
3,525,625
-0.009419
null
null
-0.00495
-0.008011
null
null
74.640001
null
null
76.956551
77.188412
null
-0.231861
0.677211
null
null
null
-0.011727
-0.016551
-0.15
-0.005871
-0.012038
0.146913
0.002606
0
0
0
0
0
0
0
2016-04-08
2016-04-08
0.053237
79.839996
80.879997
79.440002
80.239998
80.239998
5,894,563
0.053237
null
null
0.053153
0.04585
null
null
75.760001
null
null
77.461697
77.414456
null
0.047241
0.551217
null
null
null
0.063365
0.09151
0.97
0.019918
0.002693
-0.049505
-0.003888
0
0
0
0
0
0
0
2016-04-11
2016-04-11
0.02462
81.519997
82.720001
81.199997
82.239998
82.239998
3,633,463
0.02462
null
null
0.025553
0.025286
null
null
77.68
null
null
78.19682
77.771903
null
0.424917
0.525957
null
null
null
0.017956
0.021146
1.12
-0.004177
-0.00235
0.058594
-0.003773
0
0
0
0
0
0
0
2016-04-12
2016-04-12
0.03442
82.959999
85.760002
82.480003
85.120003
85.120003
7,083,088
0.03442
null
null
0.036777
0.021001
null
null
80.096001
null
null
79.261925
78.316207
null
0.945718
0.609909
null
null
null
0.040209
0.034046
0.9
0.029351
0.00927
-0.086716
-0.001291
0
0
0
0
0
0
0
2016-04-13
2016-04-13
-0.012293
84.720001
85.919998
83.839996
84.080002
84.080002
5,366,750
-0.012293
null
null
-0.011115
-0.002448
null
null
81.552
null
null
80.003168
78.743155
null
1.260013
0.73993
null
null
null
-0.010022
-0.004893
1.11
0.00468
0.01005
-0.068013
0.00294
6,634
-4,237
505
0
0
0
0
2016-04-14
2016-04-14
-0.002859
84.639999
85.199997
83.360001
83.839996
83.839996
3,969,688
-0.002859
null
null
-0.002238
-0.00738
null
null
83.103999
null
null
80.593449
79.120699
null
1.47275
0.886494
null
null
null
-0.006013
0.004893
1.57
0.002332
0.000048
-0.008671
0.000184
0
0
0
0
0
0
0
2016-04-15
2016-04-15
-0.022191
82.239998
82.639999
81.040001
82
82
4,372,625
-0.022191
null
null
-0.018847
-0.021211
null
null
83.456
null
null
80.809841
79.33398
null
1.475861
1.004367
null
null
null
-0.025658
-0.040318
0.92
-0.013599
-0.001106
-0.007289
0.000189
0
0
0
0
0
0
0
2016-04-18
2016-04-18
-0.007835
78.720001
81.919998
78.32
81.360001
81.360001
4,874,688
-0.007835
null
null
-0.000761
-0.002525
null
null
83.28
null
null
80.894481
79.484056
null
1.410426
1.085579
null
null
null
-0.016472
0.007715
1.9
0.01639
0.007002
-0.019824
-0.001639
0
0
0
0
0
0
0
2016-04-19
2016-04-19
0.026202
82
84.32
81.760002
83.519997
83.519997
4,684,988
0.026202
null
null
0.021846
0.021264
null
null
82.959999
null
null
81.298407
79.783014
null
1.515392
1.171542
null
null
null
0.028283
0.032604
2.14
0.019775
0.003149
-0.00824
-0.006185
0
0
0
0
0
0
0
2016-04-20
2016-04-20
0.030191
81.919998
87.040001
81.599998
86.080002
86.080002
5,312,650
0.030191
null
null
0.031539
0.023243
null
null
83.359999
null
null
82.034037
80.249458
null
1.784579
1.294149
null
null
null
0.044026
0.001626
0.37
0.008916
0.000952
0.003021
0.001052
2,080
-110
-3,554
0
0
0
0
2016-04-21
2016-04-21
-0.003724
85.68
86.559998
84.639999
85.760002
85.760002
3,392,488
-0.003724
null
null
-0.013082
-0.002421
null
null
83.744
null
null
82.607262
80.657646
null
1.949616
1.425242
null
null
null
0.01071
0.00901
0.3
-0.005885
-0.005393
0.050452
0.00422
0
0
0
0
0
0
0
2016-04-22
2016-04-22
0.003724
86
87.440002
85.519997
86.080002
86.080002
3,745,525
0.003724
null
null
0.009465
0.008449
null
null
84.560001
null
null
83.14153
81.059302
null
2.082228
1.556639
null
null
null
-0.009774
0.011207
1.21
0.014423
0
-0.05233
0.003659
0
0
0
0
0
0
0
2016-04-25
2016-04-25
-0.01971
86.239998
86.480003
83.760002
84.400002
84.400002
2,746,975
-0.01971
null
null
-0.014599
-0.007238
null
null
85.168001
null
null
83.335141
81.306761
null
2.028379
1.650987
null
null
null
-0.025822
-0.023005
1.3
-0.01125
-0.001724
0.065053
-0.000385
0
0
0
0
0
0
0
2016-04-26
2016-04-26
0.024346
85.279999
86.959999
84.959999
86.480003
86.480003
2,398,775
0.024346
null
null
0.026126
0.013229
null
null
85.760002
null
null
83.818966
81.689965
null
2.129001
1.74659
null
null
null
0.020193
0.022323
1.42
0.015864
0.001485
-0.008523
-0.003598
0
0
0
0
0
0
0
2016-04-27
2016-04-27
0.030071
88.239998
89.760002
86.080002
89.120003
89.120003
4,740,113
0.030071
null
null
0.029642
0.023614
null
null
86.368002
null
null
84.63451
82.240338
null
2.394172
1.876107
null
null
null
0.063112
0.005221
-1.12
0.018827
0.002056
-0.01361
0.000767
1,999
1,608
-1,695
0
0
0
0
2016-04-28
2016-04-28
0.007156
89.279999
90.720001
88.800003
89.760002
89.760002
3,116,988
0.007156
null
null
0.00693
0.003495
null
null
87.168002
null
null
85.423047
82.79735
null
2.625697
2.026025
null
null
null
0.016207
0.031862
-0.43
-0.014974
-0.009117
0.105301
-0.00582
0
0
0
0
0
0
0
2016-04-29
2016-04-29
0.007105
91.360001
92
88.959999
90.400002
90.400002
4,350,263
0.007105
null
null
0.00138
0
null
null
88.032002
null
null
86.188733
83.360509
null
2.828223
2.186464
null
null
null
-0.001087
0.000877
-0.34
-0.001628
-0.005413
0.031537
-0.003263
0
0
0
0
0
0
0
2016-05-02
2016-05-02
-0.022372
89.919998
90
87.599998
88.400002
88.400002
2,701,800
-0.022372
null
null
-0.032238
-0.01878
null
null
88.832002
null
null
86.528928
83.733805
null
2.795123
2.308196
null
null
null
-0.027115
0.003936
1.07
-0.001038
0.007917
-0.064968
-0.001293
0
0
0
0
0
0
0
2016-05-03
2016-05-03
-0.028455
86.879997
87.040001
85.279999
85.919998
85.919998
3,551,525
-0.028455
null
null
-0.018692
-0.01432
null
null
88.720001
null
null
86.435246
83.895745
null
2.539501
2.354457
null
null
null
-0.024888
-0.06143
-0.56
-0.023863
-0.008741
0.06267
0.00612
0
0
0
0
0
0
0
2016-05-04
2016-05-04
0.004645
87.440002
88.32
85.040001
86.32
86.32
3,107,025
0.004645
null
null
-0.006553
-0.002407
null
null
88.160001
null
null
86.417516
84.07532
null
2.342196
2.352005
null
null
null
0.002745
-0.000232
-0.69
-0.014534
-0.005594
0.028846
0.005458
2,784
536
-1,261
0
0
0
0
2016-05-05
2016-05-05
0.010143
89.839996
89.919998
86.480003
87.199997
87.199997
4,269,875
0.010143
null
null
0.007278
0.006006
null
null
87.648
null
null
86.537898
84.306777
null
2.23112
2.327828
null
null
null
0.012713
0.029955
0.06
0.008134
-0.000195
-0.008723
0.002241
0
0
0
0
0
0
0
2016-05-06
2016-05-06
0.00549
86.480003
89.199997
86.239998
87.68
87.68
3,299,588
0.00549
null
null
0.005063
0.010721
null
null
87.103999
null
null
86.713606
84.556646
null
2.15696
2.293654
null
null
null
0.005624
0.00472
0.02
-0.002296
0.003652
-0.074796
0.001027
0
0
0
0
0
0
0
2016-05-09
2016-05-09
-0.025879
86.879997
87.279999
85.120003
85.440002
85.440002
2,767,888
-0.025879
null
null
-0.03899
-0.025196
null
null
86.512
null
null
86.517667
84.622079
null
1.895587
2.214041
null
null
null
-0.025674
-0.049878
-1.02
-0.014662
0.000826
-0.01019
0.005117
0
0
0
0
0
0
0
2016-05-10
2016-05-10
0.028613
86
88.160004
85.760002
87.919998
87.919998
2,631,888
0.028613
null
null
0.046179
0.03228
null
null
86.912
null
null
86.73341
84.86637
null
1.86704
2.144641
null
null
null
0.027915
0.036561
-0.67
0.017416
0.012357
-0.064516
-0.000968
0
0
0
0
0
0
0
2016-05-11
2016-05-11
0.031351
87.279999
91.360001
86.800003
90.720001
90.720001
3,667,275
0.031351
null
null
0.038642
0.027844
null
null
87.792
null
null
87.346732
85.299972
null
2.04676
2.125065
null
null
null
0.03367
0.045962
-0.13
0.003051
-0.009399
0.07777
-0.004857
-3,608
-1,231
-1,647
0
0
0
0
2016-05-12
2016-05-12
0.009653
92.239998
92.239998
89.760002
91.599998
91.599998
2,993,300
0.009653
null
null
0.010967
0.006842
null
null
88.672
null
null
88.001081
85.766641
null
2.23444
2.14694
null
null
null
0.009262
0.007567
-0.21
0.002738
0.000291
-0.019061
0.003736
0
0
0
0
0
0
0
2016-05-13
2016-05-13
-0.007011
90.800003
91.440002
90.160004
90.959999
90.959999
1,903,750
-0.007011
null
null
-0.00273
-0.009133
null
null
89.328
null
null
88.456299
86.151334
null
2.304965
2.178545
null
null
null
-0.009046
0.013265
0.83
-0.012842
-0.008752
0.04372
0.004827
0
0
0
0
0
0
0
2016-05-16
2016-05-16
0.033726
93.440002
94.32
93.040001
94.080002
94.080002
3,339,175
0.033726
null
null
0.025642
0.023797
null
null
91.056
null
null
89.321484
86.738643
null
2.582841
2.259404
null
null
null
0.031938
0.030147
0.77
0.016784
0.009817
-0.023936
-0.001119
0
0
0
0
0
0
0
2016-05-17
2016-05-17
0.013514
94
95.440002
93.68
95.360001
95.360001
2,788,863
0.013514
null
null
0.009284
0.013348
null
null
92.544
null
null
90.250486
87.377262
null
2.873225
2.382168
null
null
null
0.011874
0.004527
0.42
0.00468
-0.009377
0.060627
-0.000284
0
0
0
0
0
0
0
2016-05-18
2016-05-18
-0.018629
94.800003
96
93.599998
93.599998
93.599998
3,678,188
-0.018629
null
null
-0.020674
-0.014469
null
null
93.12
null
null
90.765796
87.838205
null
2.927591
2.491253
null
null
null
-0.003527
0.004506
0.81
-0.009685
0.000293
0.024406
0.004092
1,310
-2,496
-3,170
0
0
0
0
2016-05-19
2016-05-19
0.007663
92.639999
94.400002
91.519997
94.32
94.32
2,737,813
0.007663
null
null
0.005376
0.003357
null
null
93.664
null
null
91.312597
88.318338
null
2.994258
2.591854
null
null
null
0.000831
-0.04003
-1.15
0.000152
-0.003471
0.023824
0.006165
0
0
0
0
0
0
0
2016-05-20
2016-05-20
-0.003398
94.32
94.879997
92.879997
94
94
2,402,500
-0.003398
null
null
0.002677
0.001117
null
null
94.272
null
null
91.726043
88.739202
null
2.986841
2.670851
null
null
null
-0.010227
0.032028
0.87
0.005912
0.006298
-0.069198
-0.000502
0
0
0
0
0
0
0
2016-05-23
2016-05-23
-0.007689
92.080002
93.519997
91.919998
93.279999
93.279999
2,035,138
-0.007689
null
null
-0.008728
-0.005596
null
null
94.112
null
null
91.965113
89.075557
null
2.889556
2.714592
null
null
null
0.009396
-0.01599
-0.35
-0.002573
-0.001364
0.040789
0.000778
0
0
0
0
0
0
0
2016-05-24
2016-05-24
0.013629
93.360001
94.800003
93.279999
94.559998
94.559998
2,136,613
0.013629
null
null
0.009396
0.01005
null
null
93.951999
null
null
92.364326
89.481812
null
2.882514
2.748177
null
null
null
-0.001664
0.013515
0.38
0.004988
0.012879
-0.088496
0.00028
0
0
0
0
0
0
0
2016-05-25
2016-05-25
0.017611
95.360001
96.400002
94.32
96.239998
96.239998
3,123,013
0.017611
null
null
0.018531
0.017622
null
null
94.479999
null
null
92.960583
89.982418
null
2.978165
2.794174
null
null
null
0.021825
0.009251
-0.23
0.015708
0.00676
-0.036061
-0.000782
-4,226
2,043
-1,284
0
0
0
0
End of preview.

OilETF-TimeMMD

OilETF-TimeMMD is a multimodal time-series dataset for oil ETF forecasting research. It aligns daily numerical market features, text-derived market facts, public report/news signals, sample metadata, and candlestick images for oil-related ETFs. The current release also includes a USO hourly intraday extension with historical GDELT news aligned to regular-session bars.

Dataset Summary

  • Version: 0.1.0
  • Date range: 2016-01-01 to 2026-05-31
  • Timezone: US/Eastern
  • Target symbol: USO
  • Symbols: USO, BNO, DBO, USL, UCO, SCO
  • Daily panel rows: 2,616
  • Numerical rows: 2,616
  • Search text rows: 2,616
  • Report text rows: 542
  • Candlestick image files: 30,324
  • Intraday price source: yfinance 1h bars, regular session only
  • Intraday news source: GDELT DOC API
  • Intraday target symbol: USO
  • Intraday UTC range: 2024-05-31T14:30:00+00:00 to 2026-05-29T20:00:00+00:00
  • Intraday hourly panel rows: 3,476
  • Intraday numerical rows: 3,476
  • Intraday search text rows: 3,476
  • Intraday bars per trading day: up to 7

Files

  • raw/prices/raw_prices.csv: raw ETF price series from yfinance.
  • raw/oil_macro/raw_oil_macro.csv: oil, macro, EIA inventory, and market reference variables.
  • raw/news/raw_news.csv: news records from yfinance.news, GDELT, and derived market facts.
  • raw/reports/raw_reports.csv: public oil-market report facts and derived EIA inventory release facts.
  • raw/calendar/calendar.csv: trading calendar and market-close alignment.
  • processed/daily_panel.parquet: aligned daily feature panel.
  • processed/samples_H60_F1.parquet: 60-day input, 1-day forecast samples.
  • processed/samples_H120_F5.parquet: 120-day input, 5-day forecast samples.
  • processed/hourly_panel.parquet: aligned USO hourly feature panel.
  • processed/intraday_samples_H60_F1.parquet: 60-hour input, 1-hour forecast samples.
  • processed/intraday_samples_H120_F7.parquet: 120-hour input, 7-hour forecast samples.
  • numerical/OilETF/OilETF.csv: Time-MMD-style numerical sequence file.
  • numerical/OilETF/OilETF_intraday.csv: Time-MMD-style hourly numerical sequence file.
  • textual/OilETF/OilETF_search.csv: daily search/news text features.
  • textual/OilETF/OilETF_report.csv: report-derived text features.
  • textual/OilETF/OilETF_intraday_search.csv: hourly text placeholder/features aligned to the intraday panel.
  • images/OilETF/*.png: candlestick images named as {symbol}_{end_date}_H{window}.png.
  • metadata/OilETF_dataset_card.json: machine-readable build metadata, hashes, missing-rate summaries, split counts, and provenance.
  • metadata/OilETF_intraday_dataset_card.json: machine-readable metadata for the hourly intraday extension.

Splits

Samples are split in time order.

File Train Validation Test
processed/samples_H60_F1.parquet 1,772 261 523
processed/samples_H120_F5.parquet 1,712 261 519
processed/intraday_samples_H60_F1.parquet 2,374 347 695
processed/intraday_samples_H120_F7.parquet 2,314 347 689

Alignment

Daily news timestamps are aligned to US/Eastern trading dates with a 16:00 market-close cutoff. EIA inventory values are aligned using the reported week-ending Friday plus a five-day release shift. Future labels start after the numeric input window ends.

Intraday rows use UTC ISO timestamps and regular US market hours only. The hourly extension keeps up to seven bars per trading day; the final session bar may represent 30 minutes.

Usage

from datasets import load_dataset

dataset = load_dataset("parquet", data_files={
    "h60_f1": "processed/samples_H60_F1.parquet",
    "h120_f5": "processed/samples_H120_F5.parquet",
    "intraday_h60_f1": "processed/intraday_samples_H60_F1.parquet",
    "intraday_h120_f7": "processed/intraday_samples_H120_F7.parquet",
})
print(dataset)

For local research workflows, sample rows reference the numerical, textual, and image files using paths relative to this dataset root.

Sources and Limitations

The dataset is built from public market and information sources including yfinance, FRED, EIA weekly petroleum inventory data, yfinance.news, GDELT DOC API, and public RSS/web pages. The hourly intraday extension uses yfinance 1h bars plus historical GDELT news for hourly event alignment. Public APIs can be rate-limited or temporarily unavailable, so some coverage is incomplete. This dataset is intended for research and benchmarking only and is not investment advice. Verify upstream redistribution terms before publishing raw vendor data.

Reproducibility

The build configuration is stored in ../configs/data_config.yaml in the project repository. The recommended project entrypoint is:

python build.py --mode all

Common commands:

python build.py --mode daily
python build.py --mode intraday
python build.py --mode all --upload --hf-repo-id YOUR_NAME/YOUR_DATASET
python build.py --mode daily --incremental --skip-visuals
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