Palo Alto Stock Forecast - Polynomial Regression

PANW
 Stock
  

USD 173.84  4.15  2.45%   

Palo Alto Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Palo Alto historical stock prices and determine the direction of Palo Alto Networks's future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of Palo Alto historical fundamentals such as revenue growth or operating cash flow patterns.
Please check Historical Fundamental Analysis of Palo Alto to cross-verify your projections.
  

Open Interest Agains t 2022-10-07 Palo Alto 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 Palo Alto's options reflect these daily shifts, investors could use the patterns of these changes to develop long and short trading strategies Palo Alto stock based on available contracts left at the end of a trading day.
Please note, 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 Alto. 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 Palo Alto 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 Palo Alto's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Palo Alto's price structures and extracts relationships that further increase the generated results' accuracy.
Palo Alto polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Palo Alto Networks as well as the accuracy indicators are determined from the period prices.

Palo Alto Polynomial Regression Price Forecast For the 5th of October

Given 90 days horizon, the Polynomial Regression forecasted value of Palo Alto Networks on the next trading day is expected to be 156.10 with a mean absolute deviation of 4.49, mean absolute percentage error of 31.57, and the sum of the absolute errors of 273.59.
Please note that although there have been many attempts to predict Palo Alto 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 153.40 and 158.79, 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 173.84
153.40
Downside
156.10
Expected Value
158.79
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression 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 Criteria121.5627
BiasArithmetic mean of the errors None
MADMean absolute deviation4.485
MAPEMean absolute percentage error0.0259
SAESum of the absolute errors273.5858
A single variable polynomial regression model attempts to put a curve through the Palo Alto historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

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 or bond 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, frequently view the market will even out over time. This tendency of Palo Alto's 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. Please use the tools below to analyze the current value of Palo Alto in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
164.10166.78191.57
Details
Intrinsic
Valuation
LowReal ValueHigh
156.74281.41284.09
Details
29 Analysts
Consensus
LowTarget PriceHigh
480.00605.37700.00
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Palo Alto. Your research has to be compared to or analyzed against Palo Alto's peers to derive any actionable benefits. When done correctly, Palo Alto's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Palo Alto Networks.

Other Forecasting Options for Palo Alto

For every potential investor in Palo Alto, 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 Alto Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Palo Alto. 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.
Sartorius Ag OrdTERUMO CORPHologicSnap-OnEssilor IntlSysmex Corp ADRIntuitive SurgResMed IncAmn Healthcare ServicesTwist Bioscience CorpFreedom Holding CorpGx Nasdaq-100 CoveredFranklin Mutual EuropeanNatural Hlth TrdUSA Value Factor
 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 helping accuretelly forecast 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 funamental techniques of forecasting Palo Alto stock price, 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 stock investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Palo Alto Implied Volatility

    
  49.27  
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Palo Alto in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Palo Alto's short interest history, or implied volatility extrapolated from Palo Alto options trading.

Currently Active Assets on Macroaxis

Please check Historical Fundamental Analysis of Palo Alto to cross-verify your projections. You can also try Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.

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When running Palo Alto Networks 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 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.
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Is Palo Alto's industry 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 Palo Alto. If investors know Palo Alto 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 Palo Alto listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Palo Alto Networks is measured differently than its book value, which is the value of Palo Alto that is recorded on the company's balance sheet. Investors also form their own opinion of Palo Alto's value that differs from its market value or its book value, called intrinsic value, which is Palo Alto's 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 Palo Alto's market value can be influenced by many factors that don't directly affect Palo Alto's 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 Palo Alto's value and its price as these two are different measures arrived at by different means. Investors typically determine Palo Alto value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Palo Alto's 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.