Agilent Technologies Stock Forecast - Naive Prediction

A Stock  USD 133.25  0.52  0.39%   
The Naive Prediction forecasted value of Agilent Technologies on the next trading day is expected to be 146.30 with a mean absolute deviation of 3.05 and the sum of the absolute errors of 186.01. Agilent Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Agilent Technologies stock prices and determine the direction of Agilent Technologies's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Agilent Technologies' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
At present, Agilent Technologies' Receivables Turnover is projected to slightly decrease based on the last few years of reporting. The current year's Asset Turnover is expected to grow to 0.85, whereas Inventory Turnover is forecasted to decline to 2.76. . The current year's Common Stock Shares Outstanding is expected to grow to about 305 M, whereas Net Income Applicable To Common Shares is forecasted to decline to about 807.6 M.

Open Interest Against 2024-07-19 Agilent Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Agilent Technologies' spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Agilent Technologies' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Agilent Technologies stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Agilent Technologies' open interest, investors have to compare it to Agilent Technologies' spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Agilent Technologies is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Agilent. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Most investors in Agilent Technologies cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Agilent Technologies' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Agilent Technologies' price structures and extracts relationships that further increase the generated results' accuracy.
A naive forecasting model for Agilent Technologies is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Agilent Technologies value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Agilent Technologies Naive Prediction Price Forecast For the 25th of June

Given 90 days horizon, the Naive Prediction forecasted value of Agilent Technologies on the next trading day is expected to be 146.30 with a mean absolute deviation of 3.05, mean absolute percentage error of 14.73, and the sum of the absolute errors of 186.01.
Please note that although there have been many attempts to predict Agilent Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Agilent Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Agilent Technologies Stock Forecast Pattern

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Agilent Technologies Forecasted Value

In the context of forecasting Agilent Technologies' Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Agilent Technologies' downside and upside margins for the forecasting period are 144.40 and 148.20, respectively. We have considered Agilent Technologies' daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
133.25
144.40
Downside
146.30
Expected Value
148.20
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Agilent Technologies stock data series using in forecasting. Note that when a statistical model is used to represent Agilent Technologies stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria120.8005
BiasArithmetic mean of the errors None
MADMean absolute deviation3.0494
MAPEMean absolute percentage error0.0219
SAESum of the absolute errors186.0149
This model is not at all useful as a medium-long range forecasting tool of Agilent Technologies. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Agilent Technologies. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Agilent Technologies

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Agilent Technologies. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Agilent Technologies' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
131.36133.25135.14
Details
Intrinsic
Valuation
LowRealHigh
119.93137.75139.64
Details
Bollinger
Band Projection (param)
LowMiddleHigh
120.30137.68155.05
Details
19 Analysts
Consensus
LowTargetHigh
123.53135.75150.68
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Agilent Technologies. Your research has to be compared to or analyzed against Agilent Technologies' peers to derive any actionable benefits. When done correctly, Agilent Technologies' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Agilent Technologies.

Other Forecasting Options for Agilent Technologies

For every potential investor in Agilent, whether a beginner or expert, Agilent Technologies' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Agilent Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Agilent. Basic forecasting techniques help filter out the noise by identifying Agilent Technologies' price trends.

Agilent Technologies Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Agilent Technologies stock to make a market-neutral strategy. Peer analysis of Agilent Technologies could also be used in its relative valuation, which is a method of valuing Agilent Technologies by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Agilent Technologies Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Agilent Technologies' price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Agilent Technologies' current price.

Agilent Technologies Market Strength Events

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 Risk Indicators

The analysis of Agilent Technologies' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Agilent Technologies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting agilent stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Information and Resources on Investing in Agilent Stock

When determining whether Agilent Technologies offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Agilent Technologies' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Agilent Technologies Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Agilent Technologies Stock:
Check out Historical Fundamental Analysis of Agilent Technologies to cross-verify your projections.
For information on how to trade Agilent Stock refer to our How to Trade Agilent Stock guide.
You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Is Life Sciences Tools & Services space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Agilent Technologies. If investors know Agilent will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Agilent Technologies listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
0.029
Dividend Share
0.922
Earnings Share
4.22
Revenue Per Share
22.533
Quarterly Revenue Growth
(0.08)
The market value of Agilent Technologies is measured differently than its book value, which is the value of Agilent that is recorded on the company's balance sheet. Investors also form their own opinion of Agilent Technologies' value that differs from its market value or its book value, called intrinsic value, which is Agilent Technologies' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Agilent Technologies' market value can be influenced by many factors that don't directly affect Agilent Technologies' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Agilent Technologies' value and its price as these two are different measures arrived at by different means. Investors typically determine if Agilent Technologies is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Agilent Technologies' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.