Stock Market's Big Data And Their 4 V's 

Big Data:

The Big Data is the mixture of structured and unstructured Data. It describe a collection of all kind of data like Traditional as well as Digital Data of all kind.

But it is to extremely large and complex datasets that can not be easily managed, processed, or analyzed using traditional data processing technique.

Stock's Market Big Data

Stock market deals with a large number of data. It also generates data with a greater Velocity and having a larger Variety. "Stock market big data" refers to the massive volume of structured and unstructured data generated in the financial markets, particularly related to stocks

1. Market Data: This includes real-time and historical data on stock prices, trading volumes, bid-ask spreads, and other relevant metrics for individual securities and entire markets.
2. News and Sentiment Analysis: Textual data from news articles, social media, and other sources are analyzed to gauge market sentiment and potential impacts on specific stocks or sectors.
3. Financial Statements: Comprehensive data from company financial reports, including balance sheets, income statements, and cash flow statements.
4. Economic Indicators: Data on economic indicators such as GDP growth, unemployment rates, inflation, and interest rates, which can influence market movements.
5. Alternative Data: Non-traditional data sources like satellite imagery, web traffic, credit card transactions, and supply chain data, which can offer unique insights into a company's performance.
6. Trade and Order Data: Information on individual trades and order book data, revealing trading patterns and liquidity levels.

4 V's of Big Data

Stock market's 4 V's