{"id":20970420,"url":"https://github.com/saherpathan/sec_edgar_filings","last_synced_at":"2026-04-18T12:03:04.575Z","repository":{"id":239224181,"uuid":"798916661","full_name":"Saherpathan/SEC_EDGAR_Filings","owner":"Saherpathan","description":"Analysis and visualization 10-K filings (annual reports) of companies","archived":false,"fork":false,"pushed_at":"2024-08-16T18:37:27.000Z","size":51933,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-01-20T04:35:41.979Z","etag":null,"topics":["api","google-generative-ai","nltk","python","sec-edgar-downloader","streamlit"],"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/Saherpathan.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":"2024-05-10T18:48:35.000Z","updated_at":"2024-08-16T18:41:24.000Z","dependencies_parsed_at":"2024-08-16T20:11:58.496Z","dependency_job_id":null,"html_url":"https://github.com/Saherpathan/SEC_EDGAR_Filings","commit_stats":null,"previous_names":["saherpathan/fintech","saherpathan/sec_edgar_filings"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Saherpathan%2FSEC_EDGAR_Filings","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Saherpathan%2FSEC_EDGAR_Filings/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Saherpathan%2FSEC_EDGAR_Filings/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Saherpathan%2FSEC_EDGAR_Filings/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Saherpathan","download_url":"https://codeload.github.com/Saherpathan/SEC_EDGAR_Filings/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243365637,"owners_count":20279215,"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":["api","google-generative-ai","nltk","python","sec-edgar-downloader","streamlit"],"created_at":"2024-11-19T03:58:17.666Z","updated_at":"2025-12-27T15:56:16.441Z","avatar_url":"https://github.com/Saherpathan.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# SEC 10-K Filings Data\n\nThis Python script lets you download SEC 10-K filings for specified companies from the SEC website using the `sec-edgar-downloader` package.\n\n## Requirements\n\n- Python 3.x\n- `sec-edgar-downloader` package (install using `pip install sec-edgar-downloader`)\n- LLM API Key\n\n\n\n## Task 1.1: Fetch the data\n\n1. Clone this repository to your local machine using\n    ```bash\n    git clone https://github.com/Saherpathan/FinTech.git\n\n3. Open a terminal or command prompt and navigate to the directory containing the script.\n\n4. Run the script using:\n   ```bash\n   python fetch_data.py\n\n## Notes\n\n- Please ensure you have proper permissions and internet connectivity to access the SEC website for downloading filings.\n- Make sure to handle any errors during the download process.\n- You can customize the list of companies/tickers and the time range as per the requirement.\n\n\n## Task 1.2: Text Analysis\n\n- Used LLM API from `google-generativeai` to perform text analysis on the downloaded 10-K filings.\n- Conducted natural language processing tasks such as tokenization, stop words removal, and frequency distribution calculation using `nltk`.\n- Generated visualizations using `matplotlib`.\n  \n\n## Task 2: Construct and Deploy Simple App\n\n- Created a simple app using `streamlit` that takes a company ticker as input and displays relevant visualizations.\n- `streamlit` was chosen for its simplicity and ease of hosting web apps, allowing for quick deployment.\n- Run the application using:\n  ```bash\n   streamlit run app.py\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsaherpathan%2Fsec_edgar_filings","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsaherpathan%2Fsec_edgar_filings","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsaherpathan%2Fsec_edgar_filings/lists"}