This project analyze Bursa Malaysia stock market data from 2020 until 2024 from ^KLSE.csv using Python and Jupyter Notebook.
To run this project, you need to have Python installed on your system. You can download it from python.org.
-
Clone the repository to your local machine:
git clone https://github.com/yllvar/Bursa-Malaysia.git
-
Navigate to the project directory:
cd Bursa-Malaysia
-
Launch Jupyter Notebook:
jupyter notebook
-
Open the
Manipulate Bursa Data.ipynb
files in Jupyter Notebook. -
Run each cell in the Jupyter Notebook to execute the code and visualize the data.
To run this project, you need to have the following dependencies installed:
- pandas: A powerful data manipulation and analysis library.
- numpy: A fundamental package for scientific computing with Python.
- matplotlib: A comprehensive library for creating static, animated, and interactive visualizations in Python.
- tabulate: A Python library for pretty-printing tabular data.
- 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:
!pip install pandas numpy matplotlib tabulate TA-Lib