ServiceNow CDR Stock Forecast - Naive Prediction
| NOWS Stock | 18.39 0.05 0.27% |
The Naive Prediction forecasted value of ServiceNow CDR on the next trading day is expected to be 18.93 with a mean absolute deviation of 0.36 and the sum of the absolute errors of 21.73. ServiceNow Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast ServiceNow CDR stock prices and determine the direction of ServiceNow CDR's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of ServiceNow CDR's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of today the value of relative strength index of ServiceNow CDR's share price is below 20 . This indicates 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 |
Using ServiceNow CDR hype-based prediction, you can estimate the value of ServiceNow CDR from the perspective of ServiceNow CDR response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of ServiceNow CDR on the next trading day is expected to be 18.93 with a mean absolute deviation of 0.36 and the sum of the absolute errors of 21.73. ServiceNow CDR after-hype prediction price | CAD 18.39 |
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.
ServiceNow |
ServiceNow CDR 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
ServiceNow CDR Naive Prediction Price Forecast For the 14th of January 2026
Given 90 days horizon, the Naive Prediction forecasted value of ServiceNow CDR on the next trading day is expected to be 18.93 with a mean absolute deviation of 0.36, mean absolute percentage error of 0.21, and the sum of the absolute errors of 21.73.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 CDR's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
ServiceNow CDR Stock Forecast Pattern
| Backtest ServiceNow CDR | ServiceNow CDR Price Prediction | Buy or Sell Advice |
ServiceNow CDR Forecasted Value
In the context of forecasting ServiceNow CDR'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 CDR's downside and upside margins for the forecasting period are 16.83 and 21.03, respectively. We have considered ServiceNow CDR'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of ServiceNow CDR stock data series using in forecasting. Note that when a statistical model is used to represent ServiceNow CDR 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.| AIC | Akaike Information Criteria | 116.5262 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.3563 |
| MAPE | Mean absolute percentage error | 0.0167 |
| SAE | Sum of the absolute errors | 21.7313 |
Predictive Modules for ServiceNow CDR
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 CDR. 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.Other Forecasting Options for ServiceNow CDR
For every potential investor in ServiceNow, whether a beginner or expert, ServiceNow CDR'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 CDR's price trends.ServiceNow CDR 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 CDR stock to make a market-neutral strategy. Peer analysis of ServiceNow CDR could also be used in its relative valuation, which is a method of valuing ServiceNow CDR by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
ServiceNow CDR 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 CDR'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 CDR's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
ServiceNow CDR Market Strength Events
Market strength indicators help investors to evaluate how ServiceNow CDR 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 CDR shares will generate the highest return on investment. By undertsting and applying ServiceNow CDR stock market strength indicators, traders can identify ServiceNow CDR entry and exit signals to maximize returns.
ServiceNow CDR Risk Indicators
The analysis of ServiceNow CDR'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 ServiceNow CDR's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting servicenow 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.
| Mean Deviation | 1.38 | |||
| Standard Deviation | 2.1 | |||
| Variance | 4.4 |
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.
Pair Trading with ServiceNow CDR
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if ServiceNow CDR position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in ServiceNow CDR will appreciate offsetting losses from the drop in the long position's value.Moving against ServiceNow Stock
| 0.68 | BPF-UN | Boston Pizza Royalties | PairCorr |
| 0.66 | ELD | Eldorado Gold Corp | PairCorr |
| 0.5 | VWA | VOLKSWAGEN CDR | PairCorr |
| 0.5 | VM | Voyageur Pharmaceuticals | PairCorr |
| 0.45 | BRK | Berkshire Hathaway CDR | PairCorr |
The ability to find closely correlated positions to ServiceNow CDR could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ServiceNow CDR when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back ServiceNow CDR - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling ServiceNow CDR to buy it.
The correlation of ServiceNow CDR is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as ServiceNow CDR moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ServiceNow CDR moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for ServiceNow CDR can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in ServiceNow Stock
ServiceNow CDR financial ratios help investors to determine whether ServiceNow Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in ServiceNow with respect to the benefits of owning ServiceNow CDR security.