Palo Alto Stock Forecast - 4 Period Moving Average

PANW Stock  USD 384.37  12.03  3.03%   
The 4 Period Moving Average forecasted value of Palo Alto Networks on the next trading day is expected to be 387.88 with a mean absolute deviation of 6.89 and the sum of the absolute errors of 399.86. Palo Stock Forecast is based on your current time horizon.
  
At this time, Palo Alto's Inventory Turnover is fairly stable compared to the past year. Receivables Turnover is likely to climb to 4.28 in 2024, whereas Payables Turnover is likely to drop 10.13 in 2024. . Net Income Applicable To Common Shares is likely to climb to about 530.9 M in 2024, whereas Common Stock Shares Outstanding is likely to drop slightly above 269.5 M in 2024.
A four-period moving average forecast model for Palo Alto Networks is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Palo Alto 4 Period Moving Average Price Forecast For the 29th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Palo Alto Networks on the next trading day is expected to be 387.88 with a mean absolute deviation of 6.89, mean absolute percentage error of 81.08, and the sum of the absolute errors of 399.86.
Please note that although there have been many attempts to predict Palo 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 Palo Alto's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Palo Alto Stock Forecast Pattern

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Palo Alto Forecasted Value

In the context of forecasting Palo Alto's 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. Palo Alto's downside and upside margins for the forecasting period are 386.02 and 389.74, respectively. We have considered Palo Alto's 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
384.37
386.02
Downside
387.88
Expected Value
389.74
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Palo Alto stock data series using in forecasting. Note that when a statistical model is used to represent Palo Alto 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 Criteria116.9923
BiasArithmetic mean of the errors -1.9503
MADMean absolute deviation6.8941
MAPEMean absolute percentage error0.0188
SAESum of the absolute errors399.86
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Palo Alto. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Palo Alto Networks and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Palo Alto

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Palo Alto Networks. 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
382.89384.74386.59
Details
Intrinsic
Valuation
LowRealHigh
291.78293.63422.81
Details
Bollinger
Band Projection (param)
LowMiddleHigh
380.34391.95403.55
Details
54 Analysts
Consensus
LowTargetHigh
254.59279.77310.54
Details

Other Forecasting Options for Palo Alto

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

Palo Alto 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 Palo Alto stock to make a market-neutral strategy. Peer analysis of Palo Alto could also be used in its relative valuation, which is a method of valuing Palo Alto by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Palo Alto Networks 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 Palo Alto's 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 Palo Alto's current price.

Palo Alto Market Strength Events

Market strength indicators help investors to evaluate how Palo Alto stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Palo Alto shares will generate the highest return on investment. By undertsting and applying Palo Alto stock market strength indicators, traders can identify Palo Alto Networks entry and exit signals to maximize returns.

Palo Alto Risk Indicators

The analysis of Palo Alto's 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 Palo Alto's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting palo 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 Tools for Palo Stock Analysis

When running Palo Alto's price analysis, check to measure Palo Alto's 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 Palo Alto is operating at the current time. Most of Palo Alto's value examination focuses on studying past and present price action to predict the probability of Palo Alto's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Palo Alto's price. Additionally, you may evaluate how the addition of Palo Alto to your portfolios can decrease your overall portfolio volatility.