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https://github.com/yllvar/bursa-malaysia


https://github.com/yllvar/bursa-malaysia

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README

          

# Bursa Malaysia Data Analysis

This project analyze Bursa Malaysia stock market data from 2020 until 2024 from ^KLSE.csv using Python and Jupyter Notebook.

## Installation

To run this project, you need to have Python installed on your system. You can download it from [python.org](https://www.python.org/).

1. Clone the repository to your local machine:

```bash
git clone https://github.com/yllvar/Bursa-Malaysia.git
```

2. Navigate to the project directory:

```bash
cd Bursa-Malaysia
```

## Usage

1. Launch Jupyter Notebook:

```bash
jupyter notebook
```

2. Open the `Manipulate Bursa Data.ipynb` files in Jupyter Notebook.

3. Run each cell in the Jupyter Notebook to execute the code and visualize the data.

## Dependencies

To run this project, you need to have the following dependencies installed:

- [pandas](https://pandas.pydata.org/): A powerful data manipulation and analysis library.
- [numpy](https://numpy.org/): A fundamental package for scientific computing with Python.
- [matplotlib](https://matplotlib.org/): A comprehensive library for creating static, animated, and interactive visualizations in Python.
- [tabulate](https://pypi.org/project/tabulate/): A Python library for pretty-printing tabular data.
- [TA-Lib](https://mrjbq7.github.io/ta-lib/): A technical analysis library for financial trading applications.

To install these dependencies, you can use pip, the Python package manager. Open a terminal or command prompt, navigate to your project directory, and run the following command:

```bash
!pip install pandas numpy matplotlib tabulate TA-Lib