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 .