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Discussion on "Cleaning Stock Dividend Data Using Pandas and Calculating Dividend Factor!" | Hashnode

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Yash Roongta

Finance & Coding Enthusiast

Apr 5, 2021

Cleaning Stock Dividend Data Using Pandas and Calculating Dividend Factor!

Welcome Readers 🤩 to the fifth article in the series "NSE EOD Stock Prices." This article will discuss how to use the pandas library to clean the Dividends Data we downloaded from the Bombay Stock Exchange in the last article here.. If you haven't r...

tradewithpython.hashnode.dev6 min read

#python #python3 #python-beginner #python-projects #codenewbies

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Cedrick DONeill

I want to get good information

Jul 9, 2022

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Abul kalam Faruk

Quant Developer

Apr 27, 2022

I am working with unadjusted data for various stocks. As I don’t have the dividends and other corporate action data, the zipline adjustments are of no value. But I do have adjustment factors for each stock. How can I adjust the prices and volume with the adjustment factors? With open, high, low, and close prices, I multiplied the adjustment factor. But with volume, do I need to adjust that as well?