Short Interest in Arbe Robotics Ltd. (NASDAQ:ARBE) Increases By 77.8%

Arbe Robotics Ltd. (NASDAQ:ARBE) was the recipient of a significant increase in short interest during 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. Based on an average trading volume of 4,690,000 shares, the days-to-cover ratio is presently 0.3 days. Approximately 2.2% of the shares of the company are short sold.

Institutional Inflows and Outflows

A hedge fund recently raised its stake in Arbe Robotics stock. Ground Swell Capital LLC raised its holdings in Arbe Robotics Ltd. (NASDAQ:ARBE) by 114.8% during the third quarter, according to the company in its most recent Form 13F filing with the Securities & Exchange Commission. The fund owned 38,024 shares of the company’s stock after acquiring an additional 20,324 shares during the period. Ground Swell Capital LLC’s holdings in Arbe Robotics were worth $73,000 at the end of the most recent quarter. 33.42% of the stock is currently owned by institutional investors and hedge funds.

Arbe Robotics Stock Up 7.1 %

Shares of NASDAQ ARBE opened at $3.00 on Wednesday. The business’s 50 day moving average price is $2.02 and its two-hundred day moving average price is $2.01. The company has a market cap of $242.18 million, a PE ratio of -4.05 and a beta of -0.04. Arbe Robotics has a twelve month low of $1.39 and a twelve month high of $5.09.

Wall Street Analysts Forecast Growth

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

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.