Nifty-TCS-AsianPaints-Returns-Risk

Compare long-term returns and risk metrics for Nifty 50, TCS, and Asian Paints using Python. Includes data sourcing, visualization, and performance benchmarking.
👉 Full annotated notebook available here: Buy on Gumroad

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📘 Contents

• Comparison of Nifty 50, TCS and Asian Paints.ipynb: The main Python notebook

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⚙️ How to Open the Notebook

To run the .ipynb file, you’ll need:

• Python 3.7+
• Jupyter Notebook or JupyterLab

Installation Steps

1. Go to Anaconda Download
   • Jupyter Notebook is part of Anaconda.
2. Click Get Started
3. Sign in using your Google account, if required.
4. Download the installer for your operating system (Windows, Mac, or Linux).
5. After installation, open Anaconda Navigator from your Start Menu or Applications folder.
6. Additional installations required: yfinance, seaborn, and cufflinks are not included with Anaconda. You can install them using the following command in the command prompt: pip install yfinance seaborn cufflinks
7. In Anaconda Navigator, click Launch under Jupyter Notebook
8. Your browser will open with the Jupyter interface. Navigate to the file Comparison of Nifty 50, TCS and Asian Paints.ipynb and start exploring.