Agilent Technologies, Inc. (A) stock price traded with dropping change along with the volume 3.32 million shares on Monday trading session. Shares are trading price at $69.21 with move of -0.35%. The company’s 3-months average volume stands at 2.57 million. When we divide the last trade volume by the 3-month average volume, we found out a relative volume of 1.27. Current trade price levels places A’s stock about -7.72% away from the 52-week high and closed 24.48% away from the 52-week low. The total dollar value of all 323.00 million outstanding shares is 22.35 billion.
Analysts recommendation for Agilent Technologies, Inc. (A)
Analysts have a consensus rating of 1.70 on the stock. This is based on a 1-5 numeric scale where Rating Scale: 1.0 Strong Buy, 2.0 Buy, 3.0 Hold, 4.0 Sell, 5.0 Strong Sell. A buy rating is a recommendation to purchase a specific security. A buy rating from an analyst or research firm is a recommendation to purchase the security, with the implied insistence that the security is undervalued in some fashion.
Return on Assets (ROA) ratio indicates how profitable a company is relative to its total assets. The ROA is 2.30%. A company that manages their assets well will have a high return, while if manages their assets poorly will have a low return. Common shareholders want to know how profitable their capital is in the businesses they invest it in. The company gives a ROE of 4.30%. The higher the ROE, the better the company is at generating profits. ROI is 10.60%. A positive result means that returns exceed costs. Analysts therefore consider the investment a net gain. The opposite kind of result, a negative means that costs outweigh returns. Analysts therefore view the investment as a net loss.
Technical indicators of Agilent Technologies, Inc. (A)
Traders will often use multiple moving averages to analyze a single security. Moving averages are a very simple tool to use, like most technical indicators, different traders will focus on different ways to use them. A longer-term moving average may be used to identify the primary price trend, a shorter moving average period to identify the secondary, price trend, and an even shorter moving average period to identify the minor price trend. Typically 20-day simple moving average is useful at identifying swing trading trends lasting 20 days. Shorter moving average timeframes are more sensitive to price fluctuations and can pick up on trend changes more quickly than longer-term moving averages. However, these more frequent signals may also result in more “whipsaws”, resulting in erroneous trade signals. Agilent Technologies, Inc. (A) recently closed with rise of 2.74% to its 20-Day Simple Moving Average. This short time frame picture represents an upward movement of current price over average price of last 20 days. Now moving toward intermediate time frame, 50-day Moving average is more useful at showing position trading trends lasting 50 days. Shares of A moved upward with change of 2.38% to its 50-day Moving average. This rising movement shows positive prices direction over last 50 days.
Finally observing long term time frame, 200-day simple moving average is more helpful at telling general investing trends lasting 200 days. Longer moving average timeframes are less sensitive to price fluctuations than shorter term timeframes and will generate far few signals. This will reduce the number of “whipsaws”, which is good, but will also generate signals later than when using shorter term averages. A stock price revealed optimistic move of 3.11% comparing average price of last 200 days. This comparison showed up direction of price above its 200-SMA.