Bengali Stock Data Analysis Project

This repository contains a project analyzing stock market data using Python. It includes data preprocessing, visualization, and reporting to provide insights into stock price movements.

Repository Structure

Project/
│── data/
│   └── stock_data.csv        # Raw dataset
│
│── notebooks/
│   └── project_notebook.ipynb   # Jupyter Notebook with analysis
│
│── reports/
│   ├── report.docx           # Original Word report
│   └── report.pdf            # Exported PDF report
│
│── README.md                 # Project documentation
│── requirements.txt          # Dependencies
│── .gitignore                # Ignore unnecessary files

Dataset

The dataset (stock_data.csv) contains stock market data used for the analysis. It includes time-series information such as Date, Open, Close, High, Low, and Volume.

Jupyter Notebook

The notebook project_notebook.ipynb contains Python code for:

• Data loading & cleaning
• Exploratory Data Analysis (EDA)
• Data visualization (line plots, trends, etc.)
• Statistical summaries

Reports

• Report.docx → Editable Word version of the report
• Report.pdf → Final PDF version of the report

These summarize the methodology, analysis, and findings.

Installation & Usage

1. Clone this repository:

   git clone https://github.com/YOUR-USERNAME/Project.git
   cd Project

2. Create a virtual environment and install dependencies:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate
   pip install -r requirements.txt

3. Launch Jupyter Notebook:

   jupyter notebook

4. Open and run notebooks/project_notebook.ipynb.

Requirements

See requirements.txt for the full list of dependencies.

Results & Findings

• Visualizations show trends in stock price movements over time.
• Summaries highlight important fluctuations in closing prices and volumes.
• Provides an initial foundation for further financial modeling or machine learning applications.