Servicenow Stock Forecast - Simple Moving Average

NOW
 Stock
  

USD 418.43  2.15  0.51%   

Servicenow Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Servicenow historical stock prices and determine the direction of Servicenow'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 Servicenow historical fundamentals such as revenue growth or operating cash flow patterns.
Additionally, see Historical Fundamental Analysis of Servicenow to cross-verify your projections.
  

Open Interest Agains t 2022-10-07 Servicenow Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Servicenow'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 Servicenow's options reflect these daily shifts, investors could use the patterns of these changes to develop long and short trading strategies Servicenow 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 Servicenow's open interest, investors have to compare it to Servicenow'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 Servicenow 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 Servicenow. 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 Servicenow 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 Servicenow's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Servicenow's price structures and extracts relationships that further increase the generated results' accuracy.
A two period moving average forecast for Servicenow is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Servicenow Simple Moving Average Price Forecast For the 7th of October

Given 90 days horizon, the Simple Moving Average forecasted value of Servicenow on the next trading day is expected to be 419.50 with a mean absolute deviation of 11.45, mean absolute percentage error of 191.73, and the sum of the absolute errors of 675.62.
Please note that although there have been many attempts to predict Servicenow 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 Servicenow's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Servicenow Stock Forecast Pattern

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Servicenow Forecasted Value

In the context of forecasting Servicenow'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. Servicenow's downside and upside margins for the forecasting period are 416.38 and 422.63, respectively. We have considered Servicenow'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 418.43
416.38
Downside
419.50
Expected Value
422.63
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Servicenow stock data series using in forecasting. Note that when a statistical model is used to represent Servicenow 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 Criteria119.6908
BiasArithmetic mean of the errors 0.0616
MADMean absolute deviation11.4513
MAPEMean absolute percentage error0.026
SAESum of the absolute errors675.625
The simple moving average model is conceptually a linear regression of the current value of Servicenow price series against current and previous (unobserved) value of Servicenow. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting stock prices into the future

Predictive Modules for Servicenow

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Servicenow. 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 Servicenow'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 Servicenow in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
418.05421.17424.29
Details
Intrinsic
Valuation
LowReal ValueHigh
379.81487.50490.62
Details
25 Analysts
Consensus
LowTarget PriceHigh
520.00726.17820.00
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Servicenow. Your research has to be compared to or analyzed against Servicenow's peers to derive any actionable benefits. When done correctly, Servicenow'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 Servicenow.

Other Forecasting Options for Servicenow

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

Servicenow 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 Servicenow stock to make a market-neutral strategy. Peer analysis of Servicenow could also be used in its relative valuation, which is a method of valuing Servicenow by comparing valuation metrics with similar companies.
Brinker InternationalJollibee FoodsShake ShackWingstopCannae HoldingsJOLLIBEE FOODS CORPYum China HoldingsAmn Healthcare ServicesTwist Bioscience CorpFreedom Holding CorpGx Nasdaq-100 CoveredFranklin Mutual EuropeanNatural Hlth TrdUSA Value FactorBetapro Canadian Gold
 Risk & Return  Correlation

Servicenow 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 Servicenow'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 Servicenow's current price.

Servicenow Market Strength Events

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

Servicenow Risk Indicators

The analysis of Servicenow'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 Servicenow's investment and either accepting that risk or mitigating it. Along with some funamental techniques of forecasting Servicenow 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.

Servicenow Implied Volatility

    
  92.16  
Servicenow's implied volatility exposes the market's sentiment of Servicenow stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Servicenow'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 Servicenow stock will not fluctuate a lot when Servicenow'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 Servicenow 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, Servicenow's short interest history, or implied volatility extrapolated from Servicenow options trading.

Becoming a Better Investor with Macroaxis

Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Servicenow using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.

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Additionally, see Historical Fundamental Analysis of Servicenow to cross-verify your projections. You can also try Watchlist Optimization module to optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm.

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Is Servicenow'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 Servicenow. If investors know Servicenow 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 Servicenow 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 Servicenow is measured differently than its book value, which is the value of Servicenow that is recorded on the company's balance sheet. Investors also form their own opinion of Servicenow's value that differs from its market value or its book value, called intrinsic value, which is Servicenow'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 Servicenow's market value can be influenced by many factors that don't directly affect Servicenow'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 Servicenow's value and its price as these two are different measures arrived at by different means. Investors typically determine Servicenow value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Servicenow'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.