Below are a couple of applications from our Members that feature XBRL data analytics capability. Click the links to get details, refresh the page to see a couple more, or visit this page for the full list of analytics tools from XBRL US Members.
Contexxia revolutionizes the way SEC filings can be analyzed. Contexxia helps users discover new and changed content in 10-K and 10-Q SEC filings, provides insights into accounting data reported in financial statements and footnotes and highlights past, present and future events that may affect a company's performance.
Calcbench has harnessed the XBRL data standard to collect rich and detailed information on every filer with the SEC. The Calcbench platform is a faster, smarter, better, more versatile, and more accurate way for you to do your job.
Cognitive Quant platform brings together Behavioral Science, Natural Language Processing, and Artificial Intelligence to help investors overcome cognitive biases, deliver unique risk insights, and enable rational investment decisions. It features: Behavioral Science-driven UX Design to help overcome cognitive biases AI & NLP-enabled Stock Screener incorporating both quantitative and qualitative insights Unique Risk Insights leveraging xBRL,
How To: Find Out More about Inline XBRL
Inline XBRL essentially combines XBRL and HTML documents, to create a single document that is both human-readable and machine-readable. Inline XBRL is under consideration by the SEC for public company reporting and is used in non-US markets today. To learn more, watch this Webinar:
How To: Extract XBRL Data Directly from the SEC Web Site
Thousands of public company data financial statements are available from the SEC’s EDGAR system today. Years of history can be extracted directly from EDGAR. Watch a How To demo from Alexander Falk, CEO of Altova:
How To: Download Individual XBRL Files and .zip Archives from the SEC Web Site
Need to get a single filing from EDGAR? Watch this brief video to learn how to manipulate URLs on the SEC's Web site and get to a company's .zip of a filing in seconds.
Comment
You must be logged in to post a comment.