Duos Technologies Group, Inc. (NASDAQ:DUOT – Get Free Report) saw a significant increase in short interest in December. As of December 31st, there was short interest totalling 29,400 shares, an increase of 10.9% from the December 15th total of 26,500 shares. Based on an average daily volume of 92,500 shares, the days-to-cover ratio is presently 0.3 days.
Analysts Set New Price Targets
A number of brokerages have recently issued reports on DUOT. Northland Securities lifted their price objective on shares of Duos Technologies Group from $5.50 to $10.00 and gave the stock an “outperform” rating in a research report on Friday, November 22nd. Ascendiant Capital Markets increased their price objective on Duos Technologies Group from $6.00 to $7.50 and gave the company a “buy” rating in a report on Tuesday, December 17th.
Check Out Our Latest Research Report on Duos Technologies Group
Institutional Trading of Duos Technologies Group
Duos Technologies Group Stock Performance
DUOT stock traded up $0.43 during midday trading on Monday, reaching $5.80. The stock had a trading volume of 180,684 shares, compared to its average volume of 95,047. The firm has a fifty day simple moving average of $5.30 and a two-hundred day simple moving average of $3.83. The company has a debt-to-equity ratio of 0.66, a quick ratio of 0.56 and a current ratio of 0.73. The stock has a market cap of $48.78 million, a PE ratio of -4.06 and a beta of 1.12. Duos Technologies Group has a 52-week low of $2.03 and a 52-week high of $8.53.
Duos Technologies Group Company Profile
Duos Technologies Group, Inc designs, develops, deploys, and operates intelligent technology solutions in North America. The company provides solutions, such as Centraco, an enterprise information management software platform that consolidates data and events from multiple sources into a unified and distributive user interface; and truevue360, an integrated platform to develop and deploy artificial intelligence algorithms, including machine learning, computer vision, object detection, and deep neural network-based processing for real-time applications.
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