Neonode (NASDAQ:NEON) Stock Price Crosses Above Two Hundred Day Moving Average – Should You Sell?

Posted by Doug Madison on Jan 19th, 2025

Neonode Inc. (NASDAQ:NEON – Get Free Report) crossed above its two hundred day moving average during trading on Friday . The stock has a two hundred day moving average of $6.59 and traded as high as $8.14. Neonode shares last traded at $7.97, with a volume of 59,534 shares.

Wall Street Analysts Forecast Growth

Several research analysts have recently commented on NEON shares. LADENBURG THALM/SH SH initiated coverage on Neonode in a report on Friday, October 18th. They issued a “buy” rating and a $16.50 target price on the stock. StockNews.com upgraded Neonode to a “sell” rating in a report on Friday, November 8th.

View Our Latest Report on NEON

Neonode Stock Performance

The business has a 50-day moving average price of $7.76 and a two-hundred day moving average price of $6.62.

Institutional Inflows and Outflows

Hedge funds have recently modified their holdings of the business. Centiva Capital LP acquired a new position in Neonode during the third quarter valued at approximately $201,000. State Street Corp boosted its position in shares of Neonode by 50.5% during the third quarter. State Street Corp now owns 45,911 shares of the electronics maker’s stock worth $418,000 after purchasing an additional 15,400 shares in the last quarter. Finally, Geode Capital Management LLC grew its holdings in shares of Neonode by 12.1% in the 3rd quarter. Geode Capital Management LLC now owns 125,946 shares of the electronics maker’s stock valued at $1,146,000 after buying an additional 13,590 shares during the period. Institutional investors own 11.63% of the company’s stock.

Neonode Company Profile

(Get Free Report)

Neonode Inc, together with its subsidiaries, develops optical sensing solutions for contactless touch, touch, and gesture sensing in the United States, Japan, South Korea, Germany, Switzerland, France, Sweden, China, and internationally. It also offers software solutions for machine perception to detect and track persons and objects in video streams from cameras and other types of imagers.