{"id":28247626,"url":"https://github.com/shortthirdman/stockmarketprediction","last_synced_at":"2025-08-09T23:11:12.646Z","repository":{"id":292677056,"uuid":"981579429","full_name":"shortthirdman/StockMarketPrediction","owner":"shortthirdman","description":"Cracking the Code: Stock Market Prediction","archived":false,"fork":false,"pushed_at":"2025-05-11T14:30:23.000Z","size":263,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-06-15T05:34:21.212Z","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":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/shortthirdman.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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,"zenodo":null}},"created_at":"2025-05-11T12:37:00.000Z","updated_at":"2025-05-11T16:04:12.000Z","dependencies_parsed_at":"2025-05-11T14:50:10.424Z","dependency_job_id":null,"html_url":"https://github.com/shortthirdman/StockMarketPrediction","commit_stats":null,"previous_names":["shortthirdman/stockmarketprediction"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/shortthirdman/StockMarketPrediction","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shortthirdman%2FStockMarketPrediction","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shortthirdman%2FStockMarketPrediction/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shortthirdman%2FStockMarketPrediction/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shortthirdman%2FStockMarketPrediction/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/shortthirdman","download_url":"https://codeload.github.com/shortthirdman/StockMarketPrediction/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shortthirdman%2FStockMarketPrediction/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":269649848,"owners_count":24453541,"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","status":"online","status_checked_at":"2025-08-09T02:00:10.424Z","response_time":111,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":"2025-05-19T11:10:56.854Z","updated_at":"2025-08-09T23:11:12.635Z","avatar_url":"https://github.com/shortthirdman.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# StockMarketPrediction\n\n\u003e Cracking the Code: Stock Market Prediction\n\nThe stock market, and particularly stock price prediction is an area that draws significant attention from researchers and practitioners alike. Traditional methods for time-series forecasting such as **_Autoregressive (AR)_**, **_Autoregressive Moving Average (ARMA)_**, and **_Autoregressive Integrated Moving Average (ARIMA)_** models have played a significant role in this aspect. These approaches depend on predefined mathematical equations to model univariate time-series and have been widely accepted due to their simplicity and interpretability.\n\nNevertheless, *AR*, *ARMA*, and *ARIMA* have inherent limitations, making them unsuitable for capturing latent dynamics that characterize financial time series data. One limitation is that a model identified for one time-series does not generalize well to others, reducing its versatility. In addition, they struggle to identify intricate patterns embedded in the data, limiting their effectiveness.\n\n---\n\n[![Made withJupyter](https://img.shields.io/badge/Made%20with-Jupyter-orange?style=for-the-badge\u0026logo=Jupyter)](https://jupyter.org/try)\t![GitHub License](https://img.shields.io/github/license/shortthirdman/StockMarketPrediction?style=for-the-badge)\t![GitHub code size in bytes](https://img.shields.io/github/languages/code-size/shortthirdman/StockMarketPrediction?style=for-the-badge)\t![GitHub repo size](https://img.shields.io/github/repo-size/shortthirdman/StockMarketPrediction?style=for-the-badge)\t[![Static Badge](https://img.shields.io/badge/Jupyter_Notebooks_Python3-1-brightgreen?style=for-the-badge\u0026logo=jupyter\u0026logoSize=auto\u0026label=Jupyter%20Notebooks%20(Python3))](/notebooks)\n\n---\n\n### Local Development\n\n  - Create a Python virtual environment and activate\n\t\n\t```shell\n\t$ python -m venv --upgrade-deps --clear dev\n\t$ export PIP_CONFIG_FILE=\"pip.conf\"\n\t```\n \n\t```shell\n\t# PowerShell\n \t$ .\\dev\\Scripts\\Activate.ps1\n\t\n\t# Linux/macOS\n\t$ source dev/bin/activate\n\t\n\t# Windows Command Prompt\n    $ .\\dev\\Scripts\\activate.bat\n \t```\n\n  - Install the packages and dependencies as listed in requirements file\n\t\n\t```shell\n\t$ pip install -U -r requirements.txt --no-cache-dir --disable-pip-version-check\n\t```\n\n  - Start your development `Jupyter Notebook` or `Jupyter Lab` server\n\t\n\t```shell\n\t$ jupyter lab --notebook-dir=.\\notebooks --no-browser\n\t```\n\n  - Install the below packages to run the Python script\n  \n    ```shell\n\t$ pip install -q numpy pandas matplotlib yfinance vectorbt\n\t```\n\n---","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshortthirdman%2Fstockmarketprediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshortthirdman%2Fstockmarketprediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshortthirdman%2Fstockmarketprediction/lists"}