{"id":25458889,"url":"https://github.com/ahmad-masud/quant-market-predictor","last_synced_at":"2025-11-03T00:30:34.497Z","repository":{"id":220631334,"uuid":"751492093","full_name":"ahmad-masud/Quant-Market-Predictor","owner":"ahmad-masud","description":"📈 Quant Market Predictor is a Python tool designed to predict stock prices from the NASDAQ","archived":false,"fork":false,"pushed_at":"2025-02-17T22:50:18.000Z","size":2018,"stargazers_count":8,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-17T23:23:44.362Z","etag":null,"topics":["altair","linear-regression","machine-learning","numpy","pandas","prediction","python","skicit-learn","stock-market","stock-price-prediction","stocks","streamlit","volatility"],"latest_commit_sha":null,"homepage":"https://quantmarketpredictor.streamlit.app","language":"Python","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/ahmad-masud.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","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":"2024-02-01T18:03:45.000Z","updated_at":"2025-02-17T22:53:46.000Z","dependencies_parsed_at":"2024-02-08T22:58:40.104Z","dependency_job_id":"a4934ee1-ab65-416c-a77a-62014abf3a44","html_url":"https://github.com/ahmad-masud/Quant-Market-Predictor","commit_stats":null,"previous_names":["ahmad-masud/quant-market-predictor"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ahmad-masud%2FQuant-Market-Predictor","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ahmad-masud%2FQuant-Market-Predictor/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ahmad-masud%2FQuant-Market-Predictor/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ahmad-masud%2FQuant-Market-Predictor/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ahmad-masud","download_url":"https://codeload.github.com/ahmad-masud/Quant-Market-Predictor/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239404292,"owners_count":19632722,"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":["altair","linear-regression","machine-learning","numpy","pandas","prediction","python","skicit-learn","stock-market","stock-price-prediction","stocks","streamlit","volatility"],"created_at":"2025-02-18T03:28:58.130Z","updated_at":"2025-11-03T00:30:34.443Z","avatar_url":"https://github.com/ahmad-masud.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Quant Market Predictor\n![QET](resources/qmp.gif)\n\n## Overview\nQuant Market Predictor is a Python-based tool designed to forecast future stock prices using historical market data from NASDAQ. Utilizing Linear Regression to make a Statistics Model, this project aims to provide users with insights into potential future market prices.\n\n## Features\n- **Stock Price Prediction**: Predict future stock prices based on historical data.\n- **Stock Risk Volatility**: Measure how risky it is to purchase a stock.\n- **Data Visualization**: Plot historical stock price data for analysis.\n\n## Installation\nTo run the Quant Market Predictor, you'll need Python installed on your system. Follow these steps to set up the project:\n\n1. Clone the repository:\n   ```sh\n   git clone https://github.com/ahmad-masud/quant-market-predictor.git\n   ```\n2. Navigate to the project directory:\n   ```sh\n   cd quant-market-predictor\n   ```\n3. Install the required dependencies:\n   ```sh\n   pip install -r requirements.txt\n   ```\n\n## Usage\nRun the main script from the command line:\n\n```sh\npython -m streamlit run main.py\n```\n\nFollow the on-screen prompts to enter the ticker symbol, period for historical data, and select the desired functionality (e.g., predict future stock prices or plot historical data).\n\n## Contributing\nI welcome contributions to the Quant Market Predictor! If you have suggestions for improvements or bug fixes, please feel free to open an issue or submit a pull request.\n\n## License\nQuant Market Predictor is released under the MIT License. See the [LICENSE](LICENSE) file for more details.\n\n## Disclaimer\nThe predictions made by this tool are for informational purposes only and should not be considered financial advice. Always conduct your own research and consult with a financial advisor before making investment decisions.\n\n## Acknowledgments\n- Data provided by [Yahoo Finance](https://finance.yahoo.com/).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fahmad-masud%2Fquant-market-predictor","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fahmad-masud%2Fquant-market-predictor","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fahmad-masud%2Fquant-market-predictor/lists"}