Stock Trading Data

The dataset contains stock trading data properly formatted with datetime.

@kaggle.rupakroy_stock_trading_data

Table List

1 table(60.69 KB)

Stock Trading Data

@kaggle.rupakroy_stock_trading_data.stock_trading_data

60.69 KB
1258 rows
7 columns

date Date	open Open	high High	low Low	close Close	adj_close Adj Close	volume Volume
Mon Jun 06 2016 00:00:00 GMT+0000 (Coordinated Universal Time)	724.909973	724.909973	714.609985	716.549988	716.549988	1565300
Tue Jun 07 2016 00:00:00 GMT+0000 (Coordinated Universal Time)	719.840027	721.97998	716.549988	716.650024	716.650024	1336200
Wed Jun 08 2016 00:00:00 GMT+0000 (Coordinated Universal Time)	723.960022	728.570007	720.580017	728.280029	728.280029	1583700
Thu Jun 09 2016 00:00:00 GMT+0000 (Coordinated Universal Time)	722.869995	729.539978	722.335999	728.580017	728.580017	988900
Fri Jun 10 2016 00:00:00 GMT+0000 (Coordinated Universal Time)	719.469971	725.890015	716.429993	719.409973	719.409973	1216400
Mon Jun 13 2016 00:00:00 GMT+0000 (Coordinated Universal Time)	716.51001	725.440002	716.51001	718.359985	718.359985	1258900
Tue Jun 14 2016 00:00:00 GMT+0000 (Coordinated Universal Time)	716.47998	722.469971	713.119995	718.27002	718.27002	1306100
Wed Jun 15 2016 00:00:00 GMT+0000 (Coordinated Universal Time)	719	722.97998	717.309998	718.919983	718.919983	1214500
Thu Jun 16 2016 00:00:00 GMT+0000 (Coordinated Universal Time)	714.909973	716.650024	703.26001	710.359985	710.359985	1982500
Fri Jun 17 2016 00:00:00 GMT+0000 (Coordinated Universal Time)	708.650024	708.820007	688.452026	691.719971	691.719971	3402400


CREATE TABLE stock_trading_data (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);