Neonode (NASDAQ:NEON) Shares Pass Above Two Hundred Day Moving Average – Here’s Why

Neonode Inc. (NASDAQ:NEON) shares passed above its two hundred day moving average during trading on Wednesday . The stock has a two hundred day moving average of $8.25 and traded as high as $8.41. Neonode shares last traded at $8.36, with a volume of 67,212 shares traded.

Neonode Trading Down 1.2 %

The company has a fifty day moving average of $8.59 and a two-hundred day moving average of $8.25. The stock has a market capitalization of $138.12 million, a price-to-earnings ratio of -11.59 and a beta of 1.99.

Institutional Inflows and Outflows

Several institutional investors have recently added to or reduced their stakes in the business. SBI Securities Co. Ltd. bought a new position in Neonode in the 4th quarter worth approximately $25,000. Jane Street Group LLC increased its position in Neonode by 81.5% in the 4th quarter. Jane Street Group LLC now owns 19,962 shares of the electronics maker’s stock worth $164,000 after buying an additional 8,962 shares during the period. Geode Capital Management LLC increased its position in Neonode by 8.5% in the 4th quarter. Geode Capital Management LLC now owns 136,678 shares of the electronics maker’s stock worth $1,125,000 after buying an additional 10,732 shares during the period. Squarepoint Ops LLC bought a new position in Neonode in the 4th quarter worth approximately $107,000. Finally, State Street Corp increased its position in Neonode by 50.5% in the 3rd quarter. State Street Corp now owns 45,911 shares of the electronics maker’s stock worth $418,000 after buying an additional 15,400 shares during the period. 11.63% of the stock is owned by institutional investors.

Neonode Company Profile

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.