In this article, I have demonstrated how to use Python for plotting and visualizing Bollinger Bands® and derive insights from it. — What are Bollinger Bands® Bollinger Bands® are a technical analysis tool created by John Bollinger in the early 1980s for generating oversold or overbought signals. They arose from the need for adaptive trading bands and the observation that volatility was dynamic, not static as was widely believed at the time. ​ Bollinger Bands® can be applied…

In this article, I’ll introduce you to the 15 common terms associated with the financial markets and the related concepts that every budding investor should know. — 1. Public Company vs. Private Company A public company is a corporation whose ownership is distributed amongst general public shareholders via the free trade of shares on the stock exchanges like the New York Stock Exchange(NYSE), Bombay Stock Exchange(BSE), etc.

How to perform Data analysis and visualization on Iris flower data set using Pandas, Matplotlib and Seaborn libraries of Python. — What is Exploratory Data Analysis? Exploratory data analysis (EDA) is a process of analyzing data by using simple concepts from statistics & probability and presenting the results in easy-to-understand pictorial format. In one sentence — Being Sherlock Holmes of data!