Agilent Technologies Stock Forecast - 8 Period Moving Average

A1GI34 Stock   402.87  0.00  0.00%   
The 8 Period Moving Average forecasted value of Agilent Technologies on the next trading day is expected to be 402.87 with a mean absolute deviation of 5.00 and the sum of the absolute errors of 265.26. 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.
  
An 8-period moving average forecast model for Agilent Technologies is based on an artificially constructed time series of Agilent Technologies daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Agilent Technologies 8 Period Moving Average Price Forecast For the 4th of December

Given 90 days horizon, the 8 Period Moving Average forecasted value of Agilent Technologies on the next trading day is expected to be 402.87 with a mean absolute deviation of 5.00, mean absolute percentage error of 92.05, and the sum of the absolute errors of 265.26.
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 401.27 and 404.47, 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
402.87
401.27
Downside
402.87
Expected Value
404.47
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 Period Moving Average 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 Criteria107.9298
BiasArithmetic mean of the errors -1.4106
MADMean absolute deviation5.0049
MAPEMean absolute percentage error0.0125
SAESum of the absolute errors265.26
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Agilent Technologies 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

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.
Hype
Prediction
LowEstimatedHigh
401.27402.87404.47
Details
Intrinsic
Valuation
LowRealHigh
320.70322.30443.16
Details
Bollinger
Band Projection (param)
LowMiddleHigh
402.74402.74402.74
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 Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
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.