Electronic Data Gathering Analysis And Retrieval Edgar System Database
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Presents the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system database of corporate information. Provides information about EDGAR, the U.S. Securities and Exchange Commission (SEC) database of required corporate filings. Includes details about retrieving data from EDGAR, data documentation, the master indices, information for EDGAR filers, and other items. Notes that EDGAR performs automated collection, validation, indexing, acceptance, and forwarding of submissions by companies and others who are required by law to file forms with the SEC, which is headquartered in Washington, D.C. Links to the WWW home page of the SEC.
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| Total Pages | : 296 |
| Release | : 1995 |
| Genre | : EDGAR (Information retrieval system) |
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| Release | : 1996 |
| Genre | : EDGAR (Information retrieval system) |
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| Total Pages | : 182 |
| Release | : 1981 |
| Genre | : Securities |
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| Release | : 1995 |
| Genre | : EDGAR (Information retrieval system) |
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| Release | : 1984 |
| Genre | : Disclosure of information (Securities law) |
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| Author | : United States. Securities and Exchange Commission |
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| Release | : 1996 |
| Genre | : EDGAR (Information retrieval system) |
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| Release | : 1995 |
| Genre | : EDGAR (Information retrieval system) |
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| Author | : Michael James Bommarito |
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| Total Pages | : 12 |
| Release | : 2018 |
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OpenEDGAR is an open source Python framework designed to rapidly construct research databases based on the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system operated by the US Securities and Exchange Commission (SEC). OpenEDGAR is built on the Django application framework, supports distributed compute across one or more servers, and includes functionality to (i) retrieve and parse index and filing data from EDGAR, (ii) build tables for key metadata like form type and filer, (iii) retrieve, parse, and update CIK to ticker and industry mappings, (iv) extract content and metadata from filing documents, and (v) search filing document contents. OpenEDGAR is designed for use in both academic research and industrial applications, and is distributed under MIT License.
| Author | : Edgar Bisset Álvarez |
| Publisher | : Springer Nature |
| Total Pages | : 479 |
| Release | : 2021-06-14 |
| Genre | : Computers |
| ISBN | : 3030774171 |
This book constitutes the refereed post-conference proceedings of the Second International Conference on Data Information in Online Environments, DIONE 2021, which took place in March 2021. Due to COVID-19 pandemic the conference was held virtually. DIONE 2021 presents theoretical proposals and practical solutions in the treatment, processing and study of data and information produced in online environments, the latest trends in the analysis of network information, media metrics social, data processing technologies and open science. The 40 revised full papers were carefully reviewed and selected from 86 submissions. The papers are grouped in thematical sessions on evaluation of science in social networking environment; scholarly publishing and online communication; and education in online environments.
