{"id":18622170,"url":"https://github.com/simhayn/stock-analysis","last_synced_at":"2025-11-03T15:30:32.379Z","repository":{"id":248820455,"uuid":"829612656","full_name":"simhayn/Stock-Analysis","owner":"simhayn","description":"Stock Market Analysis and Prediction. The main focused is on NVDA stock forecasting and interactive visualization.","archived":false,"fork":false,"pushed_at":"2024-07-28T22:18:47.000Z","size":4189,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-12-27T05:06:49.006Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","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/simhayn.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":"2024-07-16T19:35:31.000Z","updated_at":"2024-07-28T22:18:49.000Z","dependencies_parsed_at":"2024-07-17T09:18:08.449Z","dependency_job_id":"023af17d-2674-4082-a434-158a93735088","html_url":"https://github.com/simhayn/Stock-Analysis","commit_stats":null,"previous_names":["simhayn/stock-analysis"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/simhayn%2FStock-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/simhayn%2FStock-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/simhayn%2FStock-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/simhayn%2FStock-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/simhayn","download_url":"https://codeload.github.com/simhayn/Stock-Analysis/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239418544,"owners_count":19635203,"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":"2024-11-07T04:15:46.267Z","updated_at":"2025-11-03T15:30:32.341Z","avatar_url":"https://github.com/simhayn.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Stock Market Analysis and Prediction✅📈\nThis project focuses on analyzing and predicting stock prices for NVDA, MARA, and CLSK. \n\nIt's interactive graphs are available on kaggle notebook preview. You can enter the [link](https://www.kaggle.com/code/natalyyakobov/time-series-analysis-stocks?scriptVersionId=188679366)\nto see them.\n\nThe analysis includes extracting data, performing exploratory data analysis (EDA), and forecasting stock prices using different models.\n\n## Project Overview\n- Data Extraction: Stock data for NVDA, MARA, and CLSK was extracted from stooq.\n- EDA: Visualizations were created using cufflinks-plotly to explore stock returns, rolling averages, volatility, and Bollinger Bands.\n- Prediction Models: The closing price of NVDA was predicted using: **SARIMAX** model with auto ARIMA and **LSTM** neural network.\n\n## Steps\n\n**Extracting Data**\n\n- Set up the time range explicitly using dates.\n- Pulled stock data from stooq.\n\n**EDA**\n\n- Visualized the data with cufflinks-plotly.\n- Explored returns, rolling averages, volatility and Bollinger Bands.\n\n**Forecasting**\n\n- Used SARIMAX with auto ARIMA to predict NVDA's closing price.\n- Compared the predictions with those from an LSTM neural network.\n\nHope you enjoy this project!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsimhayn%2Fstock-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsimhayn%2Fstock-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsimhayn%2Fstock-analysis/lists"}