Dataset: Daily Indian Stock Price Dataset

About this Dataset

Daily Indian Stock Price Dataset

Context

The successful prediction of a stock's future price could yield significant profit.
Stock market prediction aims to determine the future movement of the stock value of a financial exchange. The accurate prediction of share price movement will lead to more profit investors can make. So in order to do analysis and predictions we need data .
The data is obtained from the API .

Content

The Dataset contains a daily timeseries data of 10 different Indian companies listed in BSE .
Each company dataset contains the information in the period of Jan-2005 to July-2021 (except for OIL , it ranges from 2009-09-30 to 2021-07-30)

Column Description

Every company file has the same structure with the same columns:

date: It is the date on which the prices were recorded.
close: Is the last price at which a stock trades during a regular trading session.
open: Is the price at which a stock started trading when the opening bell rang.
high: Is the highest price at which a stock traded during the course of the trading day.
low: Is the lowest price at which a stock traded during the course of the trading day.
volume: Is the number of shares or contracts traded in an asset during the course of the trading day
dividend_amount: Is the dividend amount given by the company at that day

Acknowledgements

I would like to thanks Alpha Vantage for providing an API for free to gather this data .

Tables

Axisbank Bse

@kaggle.pathikghugare_daily_indian_stock_price_dataset.axisbank_bse

143.67 KB
4083 rows
7 columns


CREATE TABLE axisbank_bse (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "dividend_amount" DOUBLE
);

Cipla Bse

@kaggle.pathikghugare_daily_indian_stock_price_dataset.cipla_bse

138.06 KB
4083 rows
7 columns


CREATE TABLE cipla_bse (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "dividend_amount" DOUBLE
);

Infy Bse

@kaggle.pathikghugare_daily_indian_stock_price_dataset.infy_bse

147.08 KB
4083 rows
7 columns


CREATE TABLE infy_bse (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "dividend_amount" DOUBLE
);

Ioc Bse

@kaggle.pathikghugare_daily_indian_stock_price_dataset.ioc_bse

135.01 KB
4083 rows
7 columns


CREATE TABLE ioc_bse (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "dividend_amount" DOUBLE
);

Itc Bse

@kaggle.pathikghugare_daily_indian_stock_price_dataset.itc_bse

139.46 KB
4083 rows
7 columns


CREATE TABLE itc_bse (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "dividend_amount" DOUBLE
);

Oil Bse

@kaggle.pathikghugare_daily_indian_stock_price_dataset.oil_bse

105.03 KB
2914 rows
7 columns


CREATE TABLE oil_bse (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "dividend_amount" DOUBLE
);

Ongc Bse

@kaggle.pathikghugare_daily_indian_stock_price_dataset.ongc_bse

145.65 KB
4083 rows
7 columns


CREATE TABLE ongc_bse (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "dividend_amount" DOUBLE
);

Reliance Bse

@kaggle.pathikghugare_daily_indian_stock_price_dataset.reliance_bse

154.96 KB
4083 rows
7 columns


CREATE TABLE reliance_bse (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "dividend_amount" DOUBLE
);

Sbin Bse

@kaggle.pathikghugare_daily_indian_stock_price_dataset.sbin_bse

162.99 KB
4198 rows
7 columns


CREATE TABLE sbin_bse (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "dividend_amount" DOUBLE
);

Sunpharma Bse

@kaggle.pathikghugare_daily_indian_stock_price_dataset.sunpharma_bse

146.35 KB
4083 rows
7 columns


CREATE TABLE sunpharma_bse (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "dividend_amount" DOUBLE
);

Tatachem Bse

@kaggle.pathikghugare_daily_indian_stock_price_dataset.tatachem_bse

170.28 KB
4083 rows
7 columns


CREATE TABLE tatachem_bse (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "dividend_amount" DOUBLE
);

Tcs Bse

@kaggle.pathikghugare_daily_indian_stock_price_dataset.tcs_bse

145.82 KB
4083 rows
7 columns


CREATE TABLE tcs_bse (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "dividend_amount" DOUBLE
);