Here is a complete, detailed README.md file content for your Financial Data Analysis project, suitable for GitHub or any project documentation:

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Financial Data Analysis with Python

This project performs comprehensive financial data analysis on NIFTY50 stock closing prices to generate insights into portfolio returns, risk metrics, correlations, technical indicators, and future price simulations.

Features

• Data loading, cleaning, and preparation
• Descriptive statistics summarizing key stock metrics
• Portfolio construction and daily return calculations
• Risk assessment through volatility and Value at Risk (VaR)
• Correlation analysis with annotated heatmaps
• Technical indicators: Moving Averages, Relative Strength Index (RSI)
• Sharpe Ratio calculation for risk-adjusted returns
• Monte Carlo simulations to forecast potential future prices
• Interactive visualizations and dashboards built with Streamlit

Setup Instructions

1. Clone this repository:

git clone (https://github.com/gunal-official/financial-data-analysis-with-python/) cd financial_data_analysis

2. Install the Python dependencies:

pip install -r requirements.txt

3. Download the NIFTY50 closing prices dataset:

• Obtain the CSV file (nifty50_closing_prices.csv) from the designated source.
• Place the file in the data/ directory.

Running the Analysis

• To execute the full analysis via the finalcial_analysis.ipynv, run:

Enjoy exploring and analyzing financial data!