Arbe Robotics Ltd. (NASDAQ:ARBE) Short Interest Up 77.8% in December

Arbe Robotics Ltd. (NASDAQ:ARBE) was the recipient of a significant increase in short interest in the month of December. As of December 31st, there was short interest totalling 1,210,000 shares, an increase of 77.8% from the December 15th total of 680,500 shares. Approximately 2.2% of the shares of the company are short sold. Based on an average daily volume of 4,690,000 shares, the days-to-cover ratio is currently 0.3 days.

Analysts Set New Price Targets

Separately, Maxim Group decreased their price target on Arbe Robotics from $4.00 to $3.00 and set a “buy” rating for the company in a report on Friday, November 29th.

Institutional Inflows and Outflows

An institutional investor recently raised its position in Arbe Robotics stock. Ground Swell Capital LLC boosted its holdings in Arbe Robotics Ltd. (NASDAQ:ARBE) by 114.8% in the 3rd quarter, according to its most recent Form 13F filing with the SEC. The institutional investor owned 38,024 shares of the company’s stock after acquiring an additional 20,324 shares during the quarter. Ground Swell Capital LLC’s holdings in Arbe Robotics were worth $73,000 as of its most recent filing with the SEC. Hedge funds and other institutional investors own 33.42% of the company’s stock.

Arbe Robotics Price Performance

Shares of NASDAQ ARBE opened at $3.14 on Friday. The stock has a fifty day moving average price of $2.05 and a 200 day moving average price of $2.02. Arbe Robotics has a 1-year low of $1.39 and a 1-year high of $5.09. The company has a market cap of $253.49 million, a PE ratio of -4.24 and a beta of -0.04.

Arbe Robotics Company Profile

Arbe Robotics Ltd., a semiconductor company, provides 4D imaging radar solutions for tier 1 automotive suppliers and automotive manufacturers in China, Hong Kong, Sweden, Germany, the United States, Israel, and internationally. It offers 4D imaging radar chipset solutions that address the core issues that have caused autonomous vehicle and autopilot accidents, such as detecting stationary objects, identifying vulnerable road users, operation at poor lighting conditions, and eliminating false alarms without radar ambiguities.