How to Get Most Volatile Stocks With 12 Lines of Python Code
Python for Stock Market Trading
We all like python programming language because it is easy to understand, and also it is the most appropriate programming language for data science. Python is easy because we don’t need to focus on the error solving part but build a robust product. Today, we will see how we can utilize python programming to find the most volatile stock in the share market with a few lines of python code.
Before starting with the code part, we need to find a source that can provide us the stock price data. Many sources like Quandl, Quantopian, and Yahoo Finance can offer us the live share market data using their API. Some of them provide free limited API calls that we can use for our practice purpose.
Libraries Used
- pandas
- NumPy
- mpl_finance
- matplotlib
Import Libraries
We need libraries to load the stock price data, do some calculations on the data, and finally, a few libraries to plot our graphs. Here, we will be using candlestick graphs. These graphs are much famous in the stock market.
