Home › Compare › APPEF vs NOBL
APPEF yields 200.00% · NOBL yields 2.17%● Live data
📍 APPEF pulled ahead of the other in Year 1
Combined, APPEF + NOBL cover 0 of 12 months — good coverage
Which stock is actually better after tax? Adjust your rate to find out.
What's the optimal mix of APPEF + NOBL for your $10,000?
Appen Limited, together with its subsidiaries, operates as an AI lifecycle company that collects and labels image, text, speech, audio, video, and other data used to build and enhance artificial intelligence systems. It operates through two segments, Global Services and New Markets. The company offers data sourcing services, including image, video, speech, and text data collection services pre-labeled datasets of audio, image, video, and text; and language-based AI solutions. It also provides data preparation services comprising machine learning assisted data annotation tools, which include image annotation, video annotation, text, sensor, audio annotation, and other solutions; enterprise-ready data annotation platform, which offers smart labeling, workflows, in-platform audit, and enterprise analytics; and knowledge graph and ontology support services. The company was formerly known as Appen Holdings Pty Limited and changed its name to Appen Limited in October 2014. Appen Limited was founded in 1996 and is headquartered in Chatswood, Australia.
Full APPEF Calculator →The fund will invest at least 80% of its total assets in component securities of the index. The index contains a minimum of 40 stocks, which are equally weighted, and no single sector is allowed to comprise more than 30% of the index weight. It seeks to remain fully invested at all times in securities and/or financial instruments that, in combination, provide exposure to the returns of the index without regard to market conditions, trends or direction.
Full NOBL Calculator →Save your analysis + weekly dividend insights. Free forever.
⚠️ Educational purposes only. Not financial advice. Congressional trades sourced from SEC STOCK Act filings via FMP. Past performance does not guarantee future results.