Agilent Technologies (Brazil) Technical Analysis
| A1GI34 Stock | 402.87 0.00 0.00% |
As of the 2nd of December, Agilent Technologies shows the Mean Deviation of 0.5112, standard deviation of 1.55, and Risk Adjusted Performance of 0.0722. 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 Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Agilent, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AgilentAgilent |
Agilent Technologies technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Agilent Technologies Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Agilent Technologies volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Agilent Technologies Trend Analysis
Use this graph to draw trend lines for Agilent Technologies. You can use it to identify possible trend reversals for Agilent Technologies as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Agilent Technologies price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Agilent Technologies Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Agilent Technologies applied against its price change over selected period. The best fit line has a slop of 0.29 , which means Agilent Technologies will continue generating value for investors. It has 122 observation points and a regression sum of squares at 3166.77, which is the sum of squared deviations for the predicted Agilent Technologies price change compared to its average price change.About Agilent Technologies Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Agilent Technologies on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Agilent Technologies based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Agilent Technologies price pattern first instead of the macroeconomic environment surrounding Agilent Technologies. By analyzing Agilent Technologies's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Agilent Technologies's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Agilent Technologies specific price patterns or momentum indicators. Please read more on our technical analysis page.
Agilent Technologies December 2, 2024 Technical Indicators
Most technical analysis of Agilent help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Agilent from various momentum indicators to cycle indicators. When you analyze Agilent charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
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| Volume Indicators |
| Risk Adjusted Performance | 0.0722 | |||
| Market Risk Adjusted Performance | 0.8252 | |||
| Mean Deviation | 0.5112 | |||
| Coefficient Of Variation | 1138.71 | |||
| Standard Deviation | 1.55 | |||
| Variance | 2.39 | |||
| Information Ratio | (0) | |||
| Jensen Alpha | 0.1061 | |||
| Total Risk Alpha | (0.13) | |||
| Treynor Ratio | 0.8152 | |||
| Maximum Drawdown | 15.21 | |||
| Potential Upside | 2.2 | |||
| Skewness | (0.99) | |||
| Kurtosis | 20.46 |
Complementary Tools for Agilent Stock analysis
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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