Servicenow Stock Future Price Prediction


USD 418.43  2.15  0.51%   

Servicenow stock price prediction is an act of determining the future value of Servicenow shares using few different conventional methods such as EPS estimation, analyst consensus, or fundamental intrinsic valuation. The successful prediction of Servicenow'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 Servicenow and does not consider all of the tangible or intangible factors available from Servicenow's fundamental data. We analyze noise-free headlines and recent hype associated with Servicenow, which may create opportunities for some arbitrage if properly timed.
Additionally, see Servicenow Basic Forecasting Models to cross-verify your projections.
It is a matter of debate whether stock price prediction based on information in financial news can generate a strong buy or sell signal. We use our internally-built news screening methodology to estimate the value of Servicenow based on different types of headlines from major news networks to social media. The Servicenow stock price prediction module provides an analysis of price elasticity to changes in media outlook on Servicenow over a specific investment horizon.Using Servicenow hype-based prediction, you can estimate the value of Servicenow from the perspective of Servicenow response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Servicenow using Servicenow's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Servicenow using crowd psychology based on the activity and movement of Servicenow's stock price.

Servicenow Implied Volatility

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.
This module is based on analyzing investor sentiment around taking a position in Servicenow. This speculative approach is based exclusively on the idea that markets are driven by emotions such as investor fear and greed. The fear of missing out, i.e., FOMO, can cause potential investors in Servicenow to buy its stock at a price that has no basis in reality. In that case, they are not buying Servicenow because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.

Servicenow after-hype prediction price

  $ 417.54  
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.

Prediction based on Rule 16 of the current Servicenow contract

Based on the Rule 16, the options market is currently suggesting that Servicenow will have an average daily up or down price movement of about 4.59% per day over the life of the 2022-10-07 option contract. With Servicenow trading at $418.43, that is roughly $19.21. If you think that the market is fully incorporating Servicenow's daily price movement you should consider acquiring Servicenow options at the current volatility level of 73.45%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
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.
LowReal ValueHigh
25 Analysts
LowTarget PriceHigh
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.

Servicenow After-Hype Price Prediction Density Analysis

As far as predicting the price of Servicenow at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Servicenow or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Servicenow, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Servicenow Estimiated After-Hype Price Volatility

In the context of predicting Servicenow's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Servicenow's historical news coverage. Servicenow's after-hype downside and upside margins for the prediction period are 414.42 and 420.66, respectively. We have considered Servicenow's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value 418.43
After-hype Price
Servicenow is very steady asset. Analysis and calculation of next after-hype price of Servicenow is based on 3 months time horizon.

Servicenow Stock Price Prediction Analysis

Have you ever been surprised when a price of a company such as Servicenow is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Servicenow backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Servicenow, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.21  3.12   0.89    0.01  9 Events / Month4 Events / MonthIn about 9 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility

Servicenow Hype Timeline

On the 6th of October Servicenow is traded for 418.43. The entity has historical hype elasticity of -0.89 and average elasticity to hype of competition of -0.01. Servicenow is estimated to decline in value after the next headline with the price expected to drop to 417.54. The average volatility of media hype impact on the company price is about 73.93%. The price depreciation on the next newsis expected to be -0.21% whereas the daily expected return is now at -0.21%. The volatility of related hype on Servicenow is about 5326.83% with expected price after next announcement by competition of 418.42. About 90.0% of the company shares are owned by institutional investors. The company has Price/Earnings To Growth (PEG) ratio of 2.17. Servicenow had not issued any dividends in recent years. Considering the 90-day investment horizon the next estimated press release will be in about 9 days.
Additionally, see Servicenow Basic Forecasting Models to cross-verify your projections.

Servicenow Related Hype Analysis

Having access to credible news sources related to Servicenow's direct competition is more important than ever and may enhance your ability to predict Servicenow's future price movements. Getting to know how Servicenow rivals react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Servicenow may potentially react to the hype associated with one of its peers.

Servicenow Additional Predictive Modules

Most predictive techniques to examine Servicenow price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Servicenow using various technical indicators. When you analyze Servicenow 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.

About Servicenow Predictive Indicators

The successful prediction of Servicenow stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Servicenow, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Servicenow based on analysis of Servicenow hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Servicenow's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Servicenow's related companies.

Story Coverage note for Servicenow

The number of cover stories for Servicenow depends on current market conditions and Servicenow's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Servicenow is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Servicenow's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Servicenow Short Properties

Servicenow's future price predictability will typically decrease when Servicenow's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Servicenow often depends not only on the future outlook of the potential Servicenow's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Servicenow's indicators that are reflective of the short sentiment are summarized in the table below.
Shares Percent Shares Out1.78%
Short Percent Of Float1.78%
Float Shares201.01M
Average Daily Volume Last 10 Day2.01M
Shares Short Prior Month3.87M
Average Daily Volume In Three Month1.7M
Date Short Interest15th of September 2022
Additionally, see Servicenow Basic Forecasting Models to cross-verify your projections. You can also try CEO Directory module to screen CEOs from public companies around the world.

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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.