Brand Engagement Network (NASDAQ:BNAI) Trading Down 3% – Here’s What Happened

Shares of Brand Engagement Network Inc. (NASDAQ:BNAIGet Free Report) dropped 3% on Friday . The company traded as low as $0.30 and last traded at $0.31. Approximately 51,986 shares traded hands during trading, a decline of 78% from the average daily volume of 237,003 shares. The stock had previously closed at $0.32.

Brand Engagement Network Stock Down 3.0%

The company has a 50-day moving average of $0.34 and a two-hundred day moving average of $0.35. The company has a market capitalization of $13.29 million, a P/E ratio of -0.36 and a beta of 0.61.

Institutional Trading of Brand Engagement Network

Several large investors have recently modified their holdings of the company. XTX Topco Ltd grew its position in Brand Engagement Network by 197.9% during the second quarter. XTX Topco Ltd now owns 73,684 shares of the company’s stock valued at $32,000 after buying an additional 48,951 shares during the period. Lee Kelleher Wealth Management purchased a new stake in Brand Engagement Network in the 1st quarter worth $52,000. Corps Capital Advisors LLC grew its position in shares of Brand Engagement Network by 132.9% during the second quarter. Corps Capital Advisors LLC now owns 223,064 shares of the company’s stock worth $98,000 after purchasing an additional 127,286 shares in the last quarter. Sentinel Trust Co. LBA bought a new stake in shares of Brand Engagement Network during the first quarter valued at approximately $119,000. Finally, Lido Advisors LLC increased its holdings in Brand Engagement Network by 404.3% in the 2nd quarter. Lido Advisors LLC now owns 932,924 shares of the company’s stock valued at $410,000 after acquiring an additional 747,924 shares during the last quarter. Institutional investors own 15.80% of the company’s stock.

About Brand Engagement Network

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Brand Engagement Network, Inc provides conversational AI assistants. The company offers security-focused, multimodal communication, and human-like assistants. Its AI assistants are built on proprietary natural language processing, anomaly detection, multisensory awareness, sentiment, and environmental analysis, as well as real-time individuation and personalization capabilities.

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