Name: NIFTY ALL STOCK Dataset
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

NIFTY ALL STOCK Dataset

Content

This dataset is a playground for technical analysis. It is said that 30% of traffic on stocks is already generated by machines, can trading be fully automated? If not, there is still a lot to learn from historical data. .

Context

https://www.kaggle.com/akshaypawar7/nifty-50-interactive-dashboard
Dataset consists of following files:

500 files of equity stock historical candle data
1_bhavcopy.csv =>
Daily prices of all NSE equity stocks . Most of data spans from 2020 to the end today, for companies new on stock market date range is shorter.
1_meta.csv =>
General description of each company with division on index and industry,
as shown in below chart.

Inspiration

Regardless of your investment strategy, fluctuations are expected in the financial market. Despite this variance, professional investors try to estimate their overall returns. Risks and returns differ based on investment types and other factors, which impact stability and volatility. To attempt to predict returns, there are many computer-based algorithms and models for financial market trading. Yet, with new techniques and approaches, data science could improve quantitative researchers' ability to forecast an investment's return.

Tables

Fretail

@kaggle.akshaypawar7_nifty_dataset.fretail

41.68 kB
525 rows
12 columns

CREATE TABLE fretail (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Fsl

@kaggle.akshaypawar7_nifty_dataset.fsl

42.94 kB
525 rows
12 columns

CREATE TABLE fsl (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Gael

@kaggle.akshaypawar7_nifty_dataset.gael

41.1 kB
525 rows
12 columns

CREATE TABLE gael (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Gail

@kaggle.akshaypawar7_nifty_dataset.gail

42.56 kB
525 rows
12 columns

CREATE TABLE gail (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Galaxysurf

@kaggle.akshaypawar7_nifty_dataset.galaxysurf

42.69 kB
525 rows
12 columns

CREATE TABLE galaxysurf (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Garfibres

@kaggle.akshaypawar7_nifty_dataset.garfibres

42.75 kB
525 rows
12 columns

CREATE TABLE garfibres (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Geship

@kaggle.akshaypawar7_nifty_dataset.geship

41.96 kB
525 rows
12 columns

CREATE TABLE geship (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Gicre

@kaggle.akshaypawar7_nifty_dataset.gicre

41.04 kB
525 rows
12 columns

CREATE TABLE gicre (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Gillette

@kaggle.akshaypawar7_nifty_dataset.gillette

42.02 kB
525 rows
12 columns

CREATE TABLE gillette (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Gland

@kaggle.akshaypawar7_nifty_dataset.gland

29.38 kB
304 rows
12 columns

CREATE TABLE gland (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Glaxo

@kaggle.akshaypawar7_nifty_dataset.glaxo

41 kB
525 rows
12 columns

CREATE TABLE glaxo (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Glenmark

@kaggle.akshaypawar7_nifty_dataset.glenmark

42.83 kB
525 rows
12 columns

CREATE TABLE glenmark (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Gmmpfaudlr

@kaggle.akshaypawar7_nifty_dataset.gmmpfaudlr

43.55 kB
525 rows
12 columns

CREATE TABLE gmmpfaudlr (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Gnfc

@kaggle.akshaypawar7_nifty_dataset.gnfc

42.98 kB
525 rows
12 columns

CREATE TABLE gnfc (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Godfryphlp

@kaggle.akshaypawar7_nifty_dataset.godfryphlp

41.59 kB
525 rows
12 columns

CREATE TABLE godfryphlp (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Godrejagro

@kaggle.akshaypawar7_nifty_dataset.godrejagro

41.76 kB
525 rows
12 columns

CREATE TABLE godrejagro (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Godrejcp

@kaggle.akshaypawar7_nifty_dataset.godrejcp

43.08 kB
525 rows
12 columns

CREATE TABLE godrejcp (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Godrejind

@kaggle.akshaypawar7_nifty_dataset.godrejind

42.25 kB
525 rows
12 columns

CREATE TABLE godrejind (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Godrejprop

@kaggle.akshaypawar7_nifty_dataset.godrejprop

43.81 kB
525 rows
12 columns

CREATE TABLE godrejprop (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Gppl

@kaggle.akshaypawar7_nifty_dataset.gppl

40.26 kB
525 rows
12 columns

CREATE TABLE gppl (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Granules

@kaggle.akshaypawar7_nifty_dataset.granules

42.48 kB
525 rows
12 columns

CREATE TABLE granules (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Graphite

@kaggle.akshaypawar7_nifty_dataset.graphite

43.07 kB
525 rows
12 columns

CREATE TABLE graphite (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Grasim

@kaggle.akshaypawar7_nifty_dataset.grasim

43.74 kB
525 rows
12 columns

CREATE TABLE grasim (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Greavescot

@kaggle.akshaypawar7_nifty_dataset.greavescot

41.63 kB
525 rows
12 columns

CREATE TABLE greavescot (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Grindwell

@kaggle.akshaypawar7_nifty_dataset.grindwell

42.7 kB
525 rows
12 columns

CREATE TABLE grindwell (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);