Name: NIFTY FMCG DATA 1 MINUTE 5 MINUTE DAILY DATA
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

NIFTY FMCG DATA 1 MINUTE 5 MINUTE DAILY DATA

Disclaimer!!!
Data uploaded here are collected from the internet. The sole purposes of uploading these data are to provide this Kaggle community with a good source of data for analysis and research. I don't own these datasets and am also not responsible for them legally by any means. I am not charging anything (either monetary or any favor) for this dataset.

The NIFTY FMCG Index is designed to reflect the behaviour and performance of FMCGs (Fast Moving Consumer Goods) which are
non-durable, mass consumption products and available off the shelf. The NIFTY FMCG Index comprises of 15 stocks from FMCG
sector listed on the National Stock Exchange (NSE).

NIFTY FMCG Index is computed using free float market capitalization method, wherein the level of the index reflects the total free
float market value of all the stocks in the index relative to particular base market capitalization value. NIFTY FMCG Index can be
used for a variety of purposes such as benchmarking of fund portfolios, launching of index funds, ETFs and structured products.

Tables

Britannia 10 Minute Data

@kaggle.debashis74017_nifty_fmcg_data_1_minute_5_minute_daily_data.britannia_10_minute_data

1.6 MB
66765 rows
6 columns


CREATE TABLE britannia_10_minute_data (
  "date" VARCHAR,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Britannia 15 Minute Data

@kaggle.debashis74017_nifty_fmcg_data_1_minute_5_minute_daily_data.britannia_15_minute_data

1.15 MB
43700 rows
6 columns


CREATE TABLE britannia_15_minute_data (
  "date" VARCHAR,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Britannia 30 Minute Data

@kaggle.debashis74017_nifty_fmcg_data_1_minute_5_minute_daily_data.britannia_30_minute_data

682.02 KB
22730 rows
6 columns


CREATE TABLE britannia_30_minute_data (
  "date" VARCHAR,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Britannia 3 Minute Data

@kaggle.debashis74017_nifty_fmcg_data_1_minute_5_minute_daily_data.britannia_3_minute_data

4.27 MB
229342 rows
6 columns


CREATE TABLE britannia_3_minute_data (
  "date" VARCHAR,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Britannia 5 Minute Data

@kaggle.debashis74017_nifty_fmcg_data_1_minute_5_minute_daily_data.britannia_5_minute_data

2.83 MB
137608 rows
6 columns


CREATE TABLE britannia_5_minute_data (
  "date" VARCHAR,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Britannia 60 Minute Data

@kaggle.debashis74017_nifty_fmcg_data_1_minute_5_minute_daily_data.britannia_60_minute_data

399.87 KB
12564 rows
6 columns


CREATE TABLE britannia_60_minute_data (
  "date" VARCHAR,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Britannia Day Data

@kaggle.debashis74017_nifty_fmcg_data_1_minute_5_minute_daily_data.britannia_day_data

67.33 KB
1916 rows
6 columns


CREATE TABLE britannia_day_data (
  "date" VARCHAR,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Britannia Minute Data

@kaggle.debashis74017_nifty_fmcg_data_1_minute_5_minute_daily_data.britannia_minute_data

10.75 MB
673345 rows
6 columns


CREATE TABLE britannia_minute_data (
  "date" VARCHAR,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Colpal 10 Minute Data

@kaggle.debashis74017_nifty_fmcg_data_1_minute_5_minute_daily_data.colpal_10_minute_data

1.31 MB
66765 rows
6 columns


CREATE TABLE colpal_10_minute_data (
  "date" VARCHAR,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Colpal 15 Minute Data

@kaggle.debashis74017_nifty_fmcg_data_1_minute_5_minute_daily_data.colpal_15_minute_data

982.99 KB
43701 rows
6 columns


CREATE TABLE colpal_15_minute_data (
  "date" VARCHAR,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Colpal 30 Minute Data

@kaggle.debashis74017_nifty_fmcg_data_1_minute_5_minute_daily_data.colpal_30_minute_data

593.4 KB
22730 rows
6 columns


CREATE TABLE colpal_30_minute_data (
  "date" VARCHAR,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Colpal 3 Minute Data

@kaggle.debashis74017_nifty_fmcg_data_1_minute_5_minute_daily_data.colpal_3_minute_data

3.5 MB
229342 rows
6 columns


CREATE TABLE colpal_3_minute_data (
  "date" VARCHAR,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Colpal 5 Minute Data

@kaggle.debashis74017_nifty_fmcg_data_1_minute_5_minute_daily_data.colpal_5_minute_data

2.27 MB
137610 rows
6 columns


CREATE TABLE colpal_5_minute_data (
  "date" VARCHAR,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Colpal 60 Minute Data

@kaggle.debashis74017_nifty_fmcg_data_1_minute_5_minute_daily_data.colpal_60_minute_data

353.66 KB
12564 rows
6 columns


CREATE TABLE colpal_60_minute_data (
  "date" VARCHAR,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Colpal Day Data

@kaggle.debashis74017_nifty_fmcg_data_1_minute_5_minute_daily_data.colpal_day_data

63.58 KB
1916 rows
6 columns


CREATE TABLE colpal_day_data (
  "date" VARCHAR,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Colpal Minute Data

@kaggle.debashis74017_nifty_fmcg_data_1_minute_5_minute_daily_data.colpal_minute_data

9.13 MB
673346 rows
6 columns


CREATE TABLE colpal_minute_data (
  "date" VARCHAR,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Dabur 10 Minute Data

@kaggle.debashis74017_nifty_fmcg_data_1_minute_5_minute_daily_data.dabur_10_minute_data

1.23 MB
66765 rows
6 columns


CREATE TABLE dabur_10_minute_data (
  "date" VARCHAR,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Dabur 15 Minute Data

@kaggle.debashis74017_nifty_fmcg_data_1_minute_5_minute_daily_data.dabur_15_minute_data

922.28 KB
43700 rows
6 columns


CREATE TABLE dabur_15_minute_data (
  "date" VARCHAR,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Dabur 30 Minute Data

@kaggle.debashis74017_nifty_fmcg_data_1_minute_5_minute_daily_data.dabur_30_minute_data

537.51 KB
22730 rows
6 columns


CREATE TABLE dabur_30_minute_data (
  "date" VARCHAR,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Dabur 3 Minute Data

@kaggle.debashis74017_nifty_fmcg_data_1_minute_5_minute_daily_data.dabur_3_minute_data

3.37 MB
229342 rows
6 columns


CREATE TABLE dabur_3_minute_data (
  "date" VARCHAR,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Dabur 5 Minute Data

@kaggle.debashis74017_nifty_fmcg_data_1_minute_5_minute_daily_data.dabur_5_minute_data

2.19 MB
137608 rows
6 columns


CREATE TABLE dabur_5_minute_data (
  "date" VARCHAR,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Dabur 60 Minute Data

@kaggle.debashis74017_nifty_fmcg_data_1_minute_5_minute_daily_data.dabur_60_minute_data

326.49 KB
12564 rows
6 columns


CREATE TABLE dabur_60_minute_data (
  "date" VARCHAR,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Dabur Day Data

@kaggle.debashis74017_nifty_fmcg_data_1_minute_5_minute_daily_data.dabur_day_data

62.47 KB
1916 rows
6 columns


CREATE TABLE dabur_day_data (
  "date" VARCHAR,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Dabur Minute Data

@kaggle.debashis74017_nifty_fmcg_data_1_minute_5_minute_daily_data.dabur_minute_data

8.82 MB
673340 rows
6 columns


CREATE TABLE dabur_minute_data (
  "date" VARCHAR,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Emamiltd 10 Minute Data

@kaggle.debashis74017_nifty_fmcg_data_1_minute_5_minute_daily_data.emamiltd_10_minute_data

1.19 MB
66764 rows
6 columns


CREATE TABLE emamiltd_10_minute_data (
  "date" VARCHAR,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);