Importing Financial Data | Python for Machine Learning in Finance | Free Quantra Course

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Welcome to this video on importing data. Financial data can be of various types. A fundamental analyst will look at the company’s reports to analyse data such as earnings, revenue etc. A quantitative analyst, on the other hand, looks at the OHLCV data. OHLCV data means the open, high, low, close prices as well as volume of a stock.
For example, Google’s OHLCV data on 30th March, 2021 is shown on screen. Usually, the financial data that is pulled from various data sources is stored as dataframes. Online sources to import OHLCV data include ‘Quandl’, ‘IEX finance’, and ‘Yahoo Finance’. For Indian stocks data,
you can use ‘NSEpy’.
Now let us understand the code that can be used to import data from Yahoo Finance. In the first line, we import the library ‘pandas’. Next, we have imported ‘yfinance’ package. The first five lines of the dataframe ‘df’ is printed using the head function. Another way to work with financial data

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