Palo Alto Stock Forecast - Double Exponential Smoothing

PANW Stock  USD 189.02  1.78  0.93%   
The Double Exponential Smoothing forecasted value of Palo Alto Networks on the next trading day is expected to be 187.83 with a mean absolute deviation of 2.83 and the sum of the absolute errors of 167.24. Palo Stock Forecast is based on your current time horizon.
At this time the relative strength indicator of Palo Alto's share price is below 20 indicating that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of Palo Alto's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Palo Alto and does not consider all of the tangible or intangible factors available from Palo Alto's fundamental data. We analyze noise-free headlines and recent hype associated with Palo Alto Networks, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting Palo Alto's stock price prediction:
Quarterly Earnings Growth
(0.04)
EPS Estimate Current Year
3.8503
EPS Estimate Next Year
2.3718
Wall Street Target Price
227.597
EPS Estimate Current Quarter
0.8912
Using Palo Alto hype-based prediction, you can estimate the value of Palo Alto Networks from the perspective of Palo Alto response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Palo Alto using Palo Alto's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Palo using crowd psychology based on the activity and movement of Palo Alto's stock price.

Palo Alto Short Interest

An investor who is long Palo Alto may also wish to track short interest. As short interest increases, investors should be becoming more worried about Palo Alto and may potentially protect profits, hedge Palo Alto with its derivative instruments, or be ready for some potential downside.
200 Day MA
192.5016
Short Percent
0.0649
Short Ratio
6.8
Shares Short Prior Month
44.6 M
50 Day MA
195.8216

Palo Alto Networks Hype to Price Pattern

Investor biases related to Palo Alto's public news can be used to forecast risks associated with an investment in Palo. The trend in average sentiment can be used to explain how an investor holding Palo can time the market purely based on public headlines and social activities around Palo Alto Networks. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Palo Alto's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Palo Alto.

Palo Alto Implied Volatility

    
  0.49  
Palo Alto's implied volatility exposes the market's sentiment of Palo Alto Networks stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Palo Alto's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Palo Alto stock will not fluctuate a lot when Palo Alto's options are near their expiration.
The Double Exponential Smoothing forecasted value of Palo Alto Networks on the next trading day is expected to be 187.83 with a mean absolute deviation of 2.83 and the sum of the absolute errors of 167.24.

Palo Alto after-hype prediction price

    
  USD 189.02  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Palo Alto to cross-verify your projections.
At this time, Palo Alto's Payables Turnover is fairly stable compared to the past year. Receivables Turnover is likely to climb to 4.17 in 2026, whereas Inventory Turnover is likely to drop 5.34 in 2026. . Net Income Applicable To Common Shares is likely to climb to about 530.9 M in 2026, whereas Common Stock Shares Outstanding is likely to drop slightly above 553.3 M in 2026.

Open Interest Against 2026-04-17 Palo Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Palo Alto's 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 Palo Alto's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Palo Alto 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 Palo Alto's open interest, investors have to compare it to Palo Alto's 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 Palo Alto 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 Palo. 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.

Palo Alto Additional Predictive Modules

Most predictive techniques to examine Palo price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Palo using various technical indicators. When you analyze Palo charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Palo Alto works best with periods where there are trends or seasonality.

Palo Alto Double Exponential Smoothing Price Forecast For the 12th of January 2026

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Palo Alto Networks on the next trading day is expected to be 187.83 with a mean absolute deviation of 2.83, mean absolute percentage error of 13.47, and the sum of the absolute errors of 167.24.
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

Backtest Palo AltoPalo Alto Price PredictionBuy or Sell Advice 

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 186.05 and 189.61, 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
189.02
186.05
Downside
187.83
Expected Value
189.61
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing 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 CriteriaHuge
BiasArithmetic mean of the errors -0.9105
MADMean absolute deviation2.8346
MAPEMean absolute percentage error0.0143
SAESum of the absolute errors167.24
When Palo Alto Networks prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Palo Alto Networks trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Palo Alto observations are given relatively more weight in forecasting than the older observations.

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
187.23189.02190.81
Details
Intrinsic
Valuation
LowRealHigh
170.12194.70196.49
Details
Bollinger
Band Projection (param)
LowMiddleHigh
179.59188.75197.92
Details
52 Analysts
Consensus
LowTargetHigh
207.11227.60252.63
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.