Correlation-in-Stock-Market

Description

---

This repository is build to analyse how the behaviour of the Stocks are correlated. The Correlation is perfomed on the percentage change of the stock price instead of the stock price.

To know more about Correlation in Stock Maret, I would recommend the following link Correlation. Do check it out for a brief understanding!! It's extremely useful if you want to create a Diversified portfolio

Installation

---

1. Clone the repository
2. Ensure all the dependencies are installed

Usage

---

1. Download the SOURCE_Datasets to the project directory
2. Copy the paths of all the csv datasets into the Correlation1.py file
3. Run the Correlation.py file
4. Understand, Observe and Analyse how the Stock Prices are correlated

This is how the output will look like!!

Pandas has provided us with a .corr() function:

correlation = Data_CP_Perc_Change.corr()

To know more about .corr(), Visit pandas.DataFrame.corr

• Try the code with different Stock Prices datasets to get a deeper understanding of Correlation
• Have Fun!!

Dependencies

---

• pandas
• matplotlib.pyplot
• seaborn

License

---

This repository is licensed under Mit License