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

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

Institutional Investors Weigh In On Arbe Robotics

A hedge fund recently raised its stake in Arbe Robotics stock. Ground Swell Capital LLC grew its position in Arbe Robotics Ltd. (NASDAQ:ARBE) by 114.8% in the 3rd quarter, according to its most recent disclosure with the Securities and Exchange Commission. The firm 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 at the end of the most recent reporting period. Institutional investors and hedge funds own 33.42% of the company’s stock.

Wall Street Analysts Forecast Growth

Separately, Maxim Group lowered 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.

Arbe Robotics Stock Down 4.0 %

Shares of ARBE opened at $3.14 on Friday. The stock has a 50 day moving average price of $2.05 and a 200 day moving average price of $2.02. The company has a market capitalization of $253.49 million, a price-to-earnings ratio of -4.24 and a beta of -0.04. Arbe Robotics has a 52-week low of $1.39 and a 52-week high of $5.09.

About Arbe Robotics

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.