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

1.67 MB
66,765 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

1.21 MB
43,700 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

698.38 kB
22,730 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

4.48 MB
229,342 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

2.96 MB
137,608 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

409.46 kB
12,564 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

68.95 kB
1,916 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

11.28 MB
673,345 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

1.38 MB
66,765 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

1.01 MB
43,701 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

607.65 kB
22,730 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

3.67 MB
229,342 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

2.38 MB
137,610 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

362.14 kB
12,564 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

65.1 kB
1,916 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

9.58 MB
673,346 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

1.29 MB
66,765 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

944.41 kB
43,700 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

550.41 kB
22,730 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

3.53 MB
229,342 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

2.3 MB
137,608 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

334.33 kB
12,564 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

63.97 kB
1,916 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

9.25 MB
673,340 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

1.25 MB
66,764 rows
6 columns

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