Topic: sec-edgar Goto Github
Some thing interesting about sec-edgar
Some thing interesting about sec-edgar
sec-edgar,This Repository consists of all the Jupyter Notebook (.ipynb) files, python files, excel sheets which are a part of the BCGX's Gen AI Virtual Job Simulation that is hosted on Forage.
User: advait135
sec-edgar,A comprehensive open-source toolkit for AI-powered analysis and interpretation of SEC EDGAR filings, providing valuable insights for investors, fintech developers, and researchers.
Organization: alphanome-ai
Home Page: https://sec.alphanome.app
sec-edgar,Parse SEC EDGAR HTML documents into a tree of elements that correspond to the visual (semantic) structure of the document.
Organization: alphanome-ai
Home Page: https://parser.alphanome.app
sec-edgar,A prototype pipeline to extract topics and forecast their importance from annual statements
User: armandanusca
sec-edgar,Tournament game for terminal in C++ (final project for university CS1 course)
User: chansonnier
sec-edgar,tool and website for graphing the top shareholders/insiders in (north american) capitalism
User: defgsus
Home Page: https://defgsus.github.io/billion-bubbles/
sec-edgar,A Python based web scraper for the SEC EDGAR database
User: deji725
Home Page: https://deji725.github.io/sec-web-scraper/
sec-edgar,Find and download SEC filings. Built on top of sec-edgar-downloader.
User: elijas
Home Page: https://elijas.github.io/sec-downloader/
sec-edgar,Extract financial data from the SEC's EDGAR database
User: farhadab
sec-edgar,Aggregate and modularize efficient and reliable tools for performing fundamental analysis on US securities
User: gyund
Home Page: https://gyund.github.io/fundamental-analysis/
sec-edgar,🗺 Generate mappings between SEC identifiers using Python
User: jadchaar
Home Page: https://sec-cik-mapper.readthedocs.io
sec-edgar,🤖 Unofficial SEC EDGAR API wrapper for Python
User: jadchaar
Home Page: https://sec-edgar-api.readthedocs.io
sec-edgar,📈 Download filings from the SEC EDGAR database using Python
User: jadchaar
Home Page: https://sec-edgar-downloader.readthedocs.io
sec-edgar,A package for downloading, extracting, parsing, and processing data from SEC-EDGAR, a public online database of all documents filed with the USA's Securities and Exchange Commission.
User: kamilkrukowski
sec-edgar,
User: mortenbpost
sec-edgar,This project is a proof-of-concept (PoC) that demonstrates the use of Elasticsearch, Kibana, and Neo4j to analyze business descriptions extracted from SEC filings.
User: mrkshdt
sec-edgar,A set of tools for dealing with SEC EDGAR corporate filings
Organization: piquette
Home Page: https://piquette.io/projects/edgr
sec-edgar,edgarParser helps you parse and analyze SEC filings from the EDGAR database
User: rsljr
sec-edgar,A mapping between Execucomp database and BoardEx database
User: rsljr
sec-edgar,Python application used to download, parse, and extract structured/unstructured data from filings in the SEC Edgar Database (including 10-K, 10-Q, 13-D, S-1, 8-K, etc.)
User: ryansmccoy
sec-edgar,Command-line interface (CLI) program for downloading 10-K, 10-K/A, 10-Q, 10-Q/A filings from the SEC EDGAR database.
User: simonschoe
sec-edgar,This repository contains Python scripts for collecting financial data from different sources, including an earnings call transcript crawler, an SEC Edgar downloader, and a prospectus and reports collector. The scripts are open-source and easy to use.
User: sinanazem
sec-edgar,This depository uses SEC EDGAR data in Schedule 13D and Schedule 13G data to find all positions above 5% in all US stocks between 1994 and 2018.
User: volkovacodes
Home Page: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3621939
sec-edgar,Explanation of IPO data extraction from SDC Platinum, data cleaning and matching with CRSP
User: volkovacodes
Home Page: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2912354
sec-edgar,This GitHub repository shows data collection and analysis for “Regulatory Fragmentation” paper by Kalmenovitz, Lowry and Volkova, The Journal of Finance (Forthcoming)
User: volkovacodes
Home Page: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3802888
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