Agilent Technologies Stock Price History

Agilent Technologies Stock Price History Chart

Agilent Technologies November 21, 2024 Stock Price Synopsis

Various analyses of Agilent Technologies' daily price changes, such as its Balance Of Power or Price Action, are crucial when deciding whether to buy, hold, or sell Agilent Stock. It can be used to describe the percentage change in the price of Agilent Technologies from one trading day to the next and could be a valuable metric for traders and investors to gauge the volatility and momentum of Agilent Stock. When benchmark price declines in a down market, there may be an uptick in Agilent Stock price where buyers come in believing the asset is cheap or selling overdone. The opposite is true when the market is bullish. You can use Agilent Technologies intraday prices and daily technical indicators to check the level of noise trading in Agilent Stock and then apply it to test your longer-term investment strategies against Agilent.

Agilent Stock Price History Data

The price series of Agilent Technologies for the period between Fri, Aug 23, 2024 and Thu, Nov 21, 2024 has a statistical range of 22.55 with a coefficient of variation of 3.85. The prices are distributed with arithmetic mean of 138.37. The median price for the last 90 days is 138.83. The company had 1398:1000 stock split on 3rd of November 2014. Agilent Technologies issued dividends on 2024-10-01.

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 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.

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.

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.