Everyone love to visualize this market in their own way. Python comes handy when comes to visualization. One of the Awesome programming language to code any level of complexity. However I start here by simply generating a heatmap which visualizes the Historical Nifty returns since 2000 and there by visualizing the reality of the market.
Here are some of the essential python libraries required for Stock Market Data Visualization
IPython (Interactive Python)
Seaborn (Statistical Data Visualization Package )
Pandas (Python Library to handle time series data )
NSEpy (Fetch Historical data from NSEpy – NSEpy 0.3 ver or higher)
Matplotlib (Python library to handle 2D plotting)
Sample IPython Notebook to generate Nifty Spot Returns heatmap below :
$Nifty Monthly Returns. Simplified #Python Code: https://t.co/1hROEONDd5 Inspired by code shared by @marketcalls_ pic.twitter.com/TDx1SHjFAw
— Uptickr (@uptickr) March 12, 2016
Stocks Return Heatmap – Ipython Notebook
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