Duos Technologies Group (NASDAQ:DUOT) Stock Price Expected to Rise, Northland Securities Analyst Says

Duos Technologies Group (NASDAQ:DUOT) had its price objective lifted by Northland Securities from $10.00 to $14.00 in a report released on Wednesday,Benzinga reports. They currently have an outperform rating on the stock.

Separately, Ascendiant Capital Markets upped their target price on Duos Technologies Group from $6.00 to $7.50 and gave the company a “buy” rating in a report on Tuesday, December 17th.

Duos Technologies Group Stock Performance

Duos Technologies Group stock opened at $7.28 on Wednesday. The business has a 50 day moving average of $5.72 and a 200-day moving average of $4.13. The company has a market capitalization of $61.22 million, a P/E ratio of -5.09 and a beta of 1.12. Duos Technologies Group has a 1 year low of $2.03 and a 1 year high of $8.53. The company has a debt-to-equity ratio of 0.66, a current ratio of 0.73 and a quick ratio of 0.56.

Institutional Inflows and Outflows

A hedge fund recently bought a new stake in Duos Technologies Group stock. FNY Investment Advisers LLC purchased a new position in shares of Duos Technologies Group, Inc. (NASDAQ:DUOT) during the fourth quarter, according to its most recent filing with the Securities and Exchange Commission (SEC). The firm purchased 11,053 shares of the company’s stock, valued at approximately $66,000. FNY Investment Advisers LLC owned 0.13% of Duos Technologies Group at the end of the most recent quarter. 42.61% of the stock is currently owned by hedge funds and other institutional investors.

About Duos Technologies Group

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.