In recent years, computer science has joined advanced mathematics in revolutionizing finance and trading, the practice of buying and selling of financial assets for the purpose of making a profit. Recently, computers have dominated trading.

Trading algorithms can make quick split-second trading decisions faster than humans could make. Moreover, machine learning techniques are increasing in popularity in the financial sector, and likely will continue to do so. In fact, a large part of algorithmic trading is high-frequency trading (HFT).

Stock analysis involves comparing a company’s current financial statement to its financial statements in previous years to give the investor a sense of whether the company is growing, stable, or deteriorating. The financial statement of a company can also be compared to that of one or more other companies within the same industry. A stock analyst may be looking to compare the operating profit margin of two competing companies, by looking at their income statements.

This dataset offers the complete historical daily price and volume data for Bombay Stock Exchange.