Agilent Technologies (Brazil) Analysis

A1GI34 Stock   402.87  0.00  0.00%   
Agilent Technologies is overvalued with Real Value of 334.38 and Hype Value of 402.87. The main objective of Agilent Technologies stock analysis is to determine its intrinsic value, which is an estimate of what Agilent Technologies is worth, separate from its market price. There are two main types of Agilent Technologies' stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect Agilent Technologies' performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of Agilent Technologies' stock to identify patterns and trends that may indicate its future price movements.
The Agilent Technologies stock is traded in Brazil on Sao Paulo Exchange, with the market opening at 10:00:00 and closing at 18:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Brazil. Here, you can get updates on important government artifacts, including earning estimates, SEC corporate filings, announcements, and Agilent Technologies' ongoing operational relationships across important fundamental and technical indicators.
  
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Agilent Technologies. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation.
For information on how to trade Agilent Stock refer to our How to Trade Agilent Stock guide.

Agilent Stock Analysis Notes

The company has Price/Earnings To Growth (PEG) ratio of 2.25. Agilent Technologies recorded earning per share (EPS) of 11.06. The entity last dividend was issued on the 2nd of January 2023. For more info on Agilent Technologies please contact Michael McMullen at 800 227 9770 or go to https://www.agilent.com.

Agilent Technologies Thematic Classifications

In addition to having Agilent Technologies stock in your portfolios, you can add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your favorite investment opportunity, you can then obtain an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility. If you are a result-oriented investor, you can benefit from optimizing one of our existing themes to build an efficient portfolio against your specific investing outlook.
IT Idea
IT
Information technology and IT services

Agilent Market Capitalization

The company currently falls under 'Mega-Cap' category with a current market capitalization of 238.87 B. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Agilent Technologies's market, we take the total number of its shares issued and multiply it by Agilent Technologies's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.

Agilent Profitablity

Agilent Technologies' profitability indicators refer to fundamental financial ratios that showcase Agilent Technologies' ability to generate income relative to its revenue or operating costs. If, let's say, Agilent Technologies is currently losing money, the management's focus should be on how to reverse that trend. However, when revenue exceeds expenses, Agilent Technologies' executives or investors may be in less hurry to break that information down - which is where profitability analysis comes into play. Gaining a greater understanding of Agilent Technologies' profitability requires more research than a typical breakdown of Agilent Technologies' financial statements. By doing a profitability analysis, companies can identify areas needing attention, and investors can make a profitable trade.
The company has Profit Margin (PM) of 0.18 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of 0.24 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.24.

Technical Drivers

As of the 21st of November, Agilent Technologies shows the Mean Deviation of 0.5112, standard deviation of 1.55, and Risk Adjusted Performance of 0.0713. Agilent Technologies technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.

Agilent Technologies Price Movement Analysis

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The output start index for this execution was twenty-three with a total number of output elements of thirty-eight. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Agilent Technologies middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Agilent Technologies. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.

Agilent Technologies Predictive Daily Indicators

Agilent Technologies intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Agilent Technologies stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.

Agilent Technologies Forecast Models

Agilent Technologies' time-series forecasting models are one of many Agilent Technologies' stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Agilent Technologies' historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Be your own money manager

As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our stock analysis tools, you can find out how much better you can do when adding Agilent Technologies to your portfolios without increasing risk or reducing expected return.

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When running Agilent Technologies' price analysis, check to measure Agilent Technologies' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Agilent Technologies is operating at the current time. Most of Agilent Technologies' value examination focuses on studying past and present price action to predict the probability of Agilent Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Agilent Technologies' price. Additionally, you may evaluate how the addition of Agilent Technologies to your portfolios can decrease your overall portfolio volatility.
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