Micro/Small Cap AI Stocks Portfolio Declined +10% In June

TM Editors' note: This article discusses a penny stock and/or microcap. Such stocks are easily manipulated; do your own careful due diligence.


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Our munKNEE Micro/Small Cap AI Stocks Portfolio of 10 stocks continued its upward climb in June advancing by 10.2% on top of an 18.1% advance in May. The Portfolio is presented below with each constituent's performance in June, its current market capitalization, and any recent news, analysis, and commentary where appropriate.

  1. Innodata (INOD): UP 17.5% in June 
    • INOD provides AI-enabled software platforms and managed services for AI data annotation, AI digital transformation, and industry-specific business processes.
    • Market Capitalization: $386M
    • Latest news, commentary and/or analysis: None
  2. Digimarc Corporation (DMRC): UP 15.5% in June 
  3. Rigetti Computing: (RGTI): UP 1.9% in June
  4. BigBear.ai (BBAI): UP 0.7% in June
    • BBAI provides AI and machine learning to assist customers in aggregating, interpreting, and synthesizing data to enable real-time decision-making capabilities.
    • Market Capitalization: $295M
    • Latest news, commentary and/or analysis: None
  5. Evolv Technologies (EVLV): DOWN 13.9% in June
    • EVLV screens people for threats without sacrificing the visitor experience.
    • Market Capitalization: $337M
    • Latest news, commentary and/or analysis: None
  6. Rekor Systems (REKR): DOWN 14.4% in June
  7. D-Wave Quantum (QBTS): DOWN 15.6% in June 
  8. Verses AI (VRSSF): DOWN 19.8% in June 
  9. Applied Optoelectronics (AAOI): DOWN 21.0% in June
  10. SoundHound AI (SOUN): DOWN 22.0% in June 

Summary

The munKNEE Micro/Small Cap AI Stocks Portfolio, with an average market capitalization of $387M (includes 4 microccap under $250M) went UP 10.2% in June and is still DOWN 13.5% YTD.


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Disclosure: None

This article has been composed with the exclusive application of the human intelligence (HI) of the author. No artificial intelligence (AI) technology has been deployed. ...

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