Arbe Robotics Ltd. (NASDAQ:ARBE) Short Interest Up 14.9% in November

Posted by Caroline Horne on Dec 16th, 2024

Arbe Robotics Ltd. (NASDAQ:ARBE – Get Free Report) was the recipient of a large growth in short interest during the month of November. As of November 30th, there was short interest totalling 612,600 shares, a growth of 14.9% from the November 15th total of 533,300 shares. Based on an average daily trading volume, of 101,600 shares, the short-interest ratio is presently 6.0 days. Approximately 1.2% of the shares of the company are short sold.

Wall Street Analyst Weigh In

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 research report on Friday, November 29th.

Check Out Our Latest Research Report on ARBE

Arbe Robotics Stock Performance

Shares of NASDAQ:ARBE opened at $1.69 on Monday. The company has a market capitalization of $136.43 million, a P/E ratio of -2.28 and a beta of -0.02. The company’s 50-day moving average is $1.83 and its 200 day moving average is $1.94. Arbe Robotics has a fifty-two week low of $1.40 and a fifty-two week high of $2.57.

Institutional Inflows and Outflows

A hedge fund recently bought a new stake in Arbe Robotics stock. Ground Swell Capital LLC purchased a new position in Arbe Robotics Ltd. (NASDAQ:ARBE – Free Report) during the second quarter, according to the company in its most recent disclosure with the Securities and Exchange Commission. The fund purchased 17,700 shares of the company’s stock, valued at approximately $34,000. 33.42% of the stock is owned by institutional investors.

About Arbe Robotics

(Get Free Report)

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.