{"id":25452854,"url":"https://github.com/yllvar/bursa-malaysia","last_synced_at":"2025-06-29T01:36:30.465Z","repository":{"id":223806023,"uuid":"761281947","full_name":"yllvar/Bursa-Malaysia","owner":"yllvar","description":null,"archived":false,"fork":false,"pushed_at":"2024-03-08T06:01:46.000Z","size":400,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-17T23:42:29.249Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/yllvar.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-02-21T15:23:19.000Z","updated_at":"2024-02-22T06:12:21.000Z","dependencies_parsed_at":"2024-02-22T07:27:51.446Z","dependency_job_id":"740197b3-2aba-453a-a627-e18342e1a3ba","html_url":"https://github.com/yllvar/Bursa-Malaysia","commit_stats":null,"previous_names":["yllvar/bursa-malaysia"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yllvar%2FBursa-Malaysia","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yllvar%2FBursa-Malaysia/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yllvar%2FBursa-Malaysia/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yllvar%2FBursa-Malaysia/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/yllvar","download_url":"https://codeload.github.com/yllvar/Bursa-Malaysia/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254535822,"owners_count":22087399,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-02-17T23:41:47.866Z","updated_at":"2025-05-16T13:10:37.792Z","avatar_url":"https://github.com/yllvar.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Bursa Malaysia Data Analysis\n\nThis project analyze Bursa Malaysia stock market data from 2020 until 2024 from ^KLSE.csv using Python and Jupyter Notebook.\n\n## Installation\n\nTo run this project, you need to have Python installed on your system. You can download it from [python.org](https://www.python.org/).\n\n1. Clone the repository to your local machine:\n\n    ```bash\n    git clone https://github.com/yllvar/Bursa-Malaysia.git\n    ```\n\n2. Navigate to the project directory:\n\n    ```bash\n    cd Bursa-Malaysia\n    ```\n\n## Usage\n\n1. Launch Jupyter Notebook:\n\n    ```bash\n    jupyter notebook\n    ```\n\n2. Open the `Manipulate Bursa Data.ipynb` files in Jupyter Notebook.\n\n3. Run each cell in the Jupyter Notebook to execute the code and visualize the data.\n\n## Dependencies\n\nTo run this project, you need to have the following dependencies installed:\n\n- [pandas](https://pandas.pydata.org/): A powerful data manipulation and analysis library.\n- [numpy](https://numpy.org/): A fundamental package for scientific computing with Python.\n- [matplotlib](https://matplotlib.org/): A comprehensive library for creating static, animated, and interactive visualizations in Python.\n- [tabulate](https://pypi.org/project/tabulate/): A Python library for pretty-printing tabular data.\n- [TA-Lib](https://mrjbq7.github.io/ta-lib/): A technical analysis library for financial trading applications.\n\nTo 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:\n\n```bash\n!pip install pandas numpy matplotlib tabulate TA-Lib\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyllvar%2Fbursa-malaysia","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyllvar%2Fbursa-malaysia","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyllvar%2Fbursa-malaysia/lists"}