Okay, so there's this company called Applied Mat that makes special machines for making computer chips. People can buy and sell parts of this company, which are called options. Some people who own a lot of these options are trying to guess how much the company will be worth in the future. They use different numbers from $160 to $260 as their guesses. There are some people who watch the company and give it ratings, like if they think it's a good buy or not. Some of them think Applied Mat is a great company and should be worth more money, while others think it's just okay. The people who own options can make bets on whether the company will go up or down in value, and this can cause the price to move around a lot. People who want to learn about these bets and what other people are doing with Applied Mat can use a website called Benzinga Pro that sends them updates. Read from source...

1. The article is heavily focused on options trading and technical analysis of Applied Mat's price range, but it lacks a comprehensive overview of the company's fundamentals, such as revenue growth, profitability, market share, innovation, etc. This makes the article less informative and useful for investors who are looking for a holistic perspective on Applied Mat's business performance and future prospects.
2. The article uses vague and misleading terms, such as "whales", "targeting", "frenzy", which appeal to emotions rather than logic and reason. These terms do not provide any concrete evidence or explanation for the observed options trading activity and price movements in Applied Mat's stock.
3. The article does not disclose any potential conflicts of interest, such as receiving compensation from options traders, brokers, or other parties involved in the options market. This raises questions about the credibility and objectivity of the article's author and sources.
4. The article cites several analyst ratings without providing any context, criteria, or methodology for selecting these analysts or evaluating their track record, expertise, and bias. This makes it difficult for readers to judge the reliability and relevance of these ratings and recommendations.