This article is about three stocks that people might want to watch on Tuesday because they are interesting or important. The first one is a company called Box, which makes online storage services. People think it will make a lot of money from its business. The second one is a company that makes clothes called GilAI Activewear. It has new leaders now and some people might want to buy or sell its stock because of that. The third one is a company called Elbit Systems, which makes things for the military and helps protect countries. People are waiting to see how much money it made in the last few months. These three companies might be talked about a lot on Tuesday by people who work with money or write about it. Read from source...

- The article does not provide any clear context or background for why these three stocks are important to watch on Tuesday. It seems like a random selection of companies that have some news or events related to them, but the reader is left wondering what makes them relevant or interesting. A better introduction could explain how these stocks fit into a larger market trend, or what factors investors should consider when evaluating their performance.
- The article uses vague and subjective terms like "gained" and "fell" to describe the stock price movements of Box and GilAI Activewear. These words do not convey any meaningful information about the magnitude or direction of the changes, nor do they indicate what caused them. A more objective and precise language could be used to report the numerical data and the reasons behind the fluctuations.
- The article does not mention any sources or evidence for its claims or predictions. For example, it states that Wall Street expects GameStop to report earnings at 36 cents per share, but it does not cite where this information comes from, nor how reliable or credible it is. It also says that analysts are expecting Elbit Systems to post quarterly earnings at $1.35 per share, but again, it provides no references or details. A more scholarly and professional approach would be to include links to the original reports or statements from the relevant entities, and to acknowledge any potential limitations or uncertainties in the data.