Agilent Technologies (Germany) Price on March 3, 2023
| AG8 Stock | EUR 128.54 1.40 1.10% |
If you're considering investing in Agilent Stock, it is important to understand the factors that can impact its price. As of today, the current price of Agilent Technologies stands at 128.54, as last reported on the 28th of November, with the highest price reaching 128.54 and the lowest price hitting 127.70 during the day. At this point, Agilent Technologies is very steady. Agilent Technologies secures Sharpe Ratio (or Efficiency) of 0.0118, which signifies that the company had a 0.0118% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Agilent Technologies, which you can use to evaluate the volatility of the firm. Please confirm Agilent Technologies' Mean Deviation of 1.25, downside deviation of 1.72, and Risk Adjusted Performance of 0.0148 to double-check if the risk estimate we provide is consistent with the expected return of 0.0216%.
Agilent Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
Agilent |
Sharpe Ratio = 0.0118
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Estimated Market Risk
| 1.84 actual daily | 16 84% of assets are more volatile |
Expected Return
| 0.02 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
| 0.01 actual daily | 0 Most of other assets perform better |
Based on monthly moving average Agilent Technologies is not performing at its full potential. However, if added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Agilent Technologies by adding Agilent Technologies to a well-diversified portfolio.
Agilent Technologies Valuation on March 3, 2023
It is possible to determine the worth of Agilent Technologies on a given historical date. On March 3, 2023 Agilent was worth 130.89 at the beginning of the trading date compared to the closed value of 131.48. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Agilent Technologies stock. Still, in general, we apply an absolute valuation method to find Agilent Technologies' value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Agilent Technologies where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Agilent Technologies' related companies.
| Open | High | Low | Close | Volume | |
| 127.00 | 127.00 | 127.00 | 127.00 | 1.00 | |
03/03/2023 | 130.89 | 131.48 | 130.89 | 131.48 | 44.00 |
| 132.92 | 133.49 | 132.92 | 133.49 | 60.00 |
| Backtest Agilent Technologies | | | Agilent Technologies History | | | Agilent Technologies Valuation | Previous | Next |
Agilent Technologies Trading Date Momentum on March 3, 2023
| On March 06 2023 Agilent Technologies was traded for 133.49 at the closing time. The highest daily price throughout the period was 133.49 and the lowest price was 132.92 . The daily volume was 60.0. The net trading volume on 03/06/2023 added to the next day price rise. The overall trading delta to closing price of the next trading day was 1.53% . The overall trading delta to current closing price is 4.43% . |
Agilent Technologies Fundamentals Correlations and Trends
By evaluating Agilent Technologies' financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Agilent Technologies' main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Agilent financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Agilent Technologies Stock history
Agilent Technologies investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Agilent is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Agilent Technologies will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Agilent Technologies stock prices may prove useful in developing a viable investing in Agilent Technologies
Agilent Technologies, Inc. provides application focused solutions to the life sciences, diagnostics, and applied chemical markets worldwide. The company was founded in 1999 and is headquartered in Santa Clara, California. AGILENT TECHS operates under Diagnostics Research classification in Germany and is traded on Frankfurt Stock Exchange. It employs 15550 people.
Agilent Technologies Stock Technical Analysis
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.
Price Boundaries
Agilent Technologies Period Price Range
Low | November 28, 2024
| High |
0.00 | 0.00 |
Agilent Technologies cannot be verified against its exchange. Please verify the symbol is currently traded on Frankfurt Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Agilent Technologies November 28, 2024 Market Strength
Market strength indicators help investors to evaluate how Agilent Technologies stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Agilent Technologies shares will generate the highest return on investment. By undertsting and applying Agilent Technologies stock market strength indicators, traders can identify Agilent Technologies entry and exit signals to maximize returns
Agilent Technologies Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Agilent Technologies' price direction in advance. Along with the technical and fundamental analysis of Agilent Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Agilent to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | 0.0148 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.27) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.0325 |
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| Volume Indicators |
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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