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

Sci

@kaggle.akshaypawar7_nifty_dataset.sci

41.67 kB
525 rows
12 columns

CREATE TABLE sci (
  "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 %
);

Sequent

@kaggle.akshaypawar7_nifty_dataset.sequent

42.64 kB
525 rows
12 columns

CREATE TABLE sequent (
  "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 %
);

Sfl

@kaggle.akshaypawar7_nifty_dataset.sfl

42.5 kB
525 rows
12 columns

CREATE TABLE sfl (
  "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 %
);

Shardacrop

@kaggle.akshaypawar7_nifty_dataset.shardacrop

41.45 kB
525 rows
12 columns

CREATE TABLE shardacrop (
  "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 %
);

Shilpamed

@kaggle.akshaypawar7_nifty_dataset.shilpamed

42.38 kB
525 rows
12 columns

CREATE TABLE shilpamed (
  "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 %
);

Shreecem

@kaggle.akshaypawar7_nifty_dataset.shreecem

45.36 kB
525 rows
12 columns

CREATE TABLE shreecem (
  "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 %
);

Shriramcit

@kaggle.akshaypawar7_nifty_dataset.shriramcit

42.73 kB
525 rows
12 columns

CREATE TABLE shriramcit (
  "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 %
);

Siemens

@kaggle.akshaypawar7_nifty_dataset.siemens

43.62 kB
525 rows
12 columns

CREATE TABLE siemens (
  "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 %
);

Sis

@kaggle.akshaypawar7_nifty_dataset.sis

41.37 kB
525 rows
12 columns

CREATE TABLE sis (
  "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 %
);

Sjvn

@kaggle.akshaypawar7_nifty_dataset.sjvn

36.02 kB
525 rows
12 columns

CREATE TABLE sjvn (
  "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 %
);

Skfindia

@kaggle.akshaypawar7_nifty_dataset.skfindia

42.94 kB
525 rows
12 columns

CREATE TABLE skfindia (
  "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 %
);

Sobha

@kaggle.akshaypawar7_nifty_dataset.sobha

43.15 kB
525 rows
12 columns

CREATE TABLE sobha (
  "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 %
);

Solara

@kaggle.akshaypawar7_nifty_dataset.solara

42.78 kB
525 rows
12 columns

CREATE TABLE solara (
  "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 %
);

Solarinds

@kaggle.akshaypawar7_nifty_dataset.solarinds

42.32 kB
525 rows
12 columns

CREATE TABLE solarinds (
  "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 %
);

Sonacoms

@kaggle.akshaypawar7_nifty_dataset.sonacoms

19.52 kB
159 rows
12 columns

CREATE TABLE sonacoms (
  "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 %
);

Sonatsoftw

@kaggle.akshaypawar7_nifty_dataset.sonatsoftw

42.81 kB
525 rows
12 columns

CREATE TABLE sonatsoftw (
  "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 %
);

Spandana

@kaggle.akshaypawar7_nifty_dataset.spandana

42.04 kB
525 rows
12 columns

CREATE TABLE spandana (
  "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 %
);

Sparc

@kaggle.akshaypawar7_nifty_dataset.sparc

41.98 kB
525 rows
12 columns

CREATE TABLE sparc (
  "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 %
);

Spicejet

@kaggle.akshaypawar7_nifty_dataset.spicejet

41.38 kB
525 rows
12 columns

CREATE TABLE spicejet (
  "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 %
);

Srf

@kaggle.akshaypawar7_nifty_dataset.srf

45.22 kB
525 rows
12 columns

CREATE TABLE srf (
  "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 %
);

Srtransfin

@kaggle.akshaypawar7_nifty_dataset.srtransfin

43.6 kB
525 rows
12 columns

CREATE TABLE srtransfin (
  "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 %
);

Star

@kaggle.akshaypawar7_nifty_dataset.star

43.1 kB
525 rows
12 columns

CREATE TABLE star (
  "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 %
);

Starcement

@kaggle.akshaypawar7_nifty_dataset.starcement

39.44 kB
525 rows
12 columns

CREATE TABLE starcement (
  "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 %
);

Stltech

@kaggle.akshaypawar7_nifty_dataset.stltech

29.23 kB
320 rows
12 columns

CREATE TABLE stltech (
  "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 %
);

Sudarschem

@kaggle.akshaypawar7_nifty_dataset.sudarschem

42.25 kB
525 rows
12 columns

CREATE TABLE sudarschem (
  "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 %
);