Datadog Stock Forward View - Simple Moving Average
| 3QD Stock | EUR 110.06 4.04 3.81% |
Datadog Stock outlook is based on your current time horizon. We suggest always using this module together with an analysis of Datadog's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 3rd of February 2026, the relative strength indicator of Datadog's share price is approaching 43. This suggests that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Datadog, making its price go up or down. Momentum 43
Sell Extended
Oversold | Overbought |
Quarterly Earnings Growth (0.34) | Wall Street Target Price 152.06 | Quarterly Revenue Growth 0.284 |
Using Datadog hype-based prediction, you can estimate the value of Datadog from the perspective of Datadog response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Moving Average forecasted value of Datadog on the next trading day is expected to be 110.06 with a mean absolute deviation of 3.85 and the sum of the absolute errors of 230.74. Datadog after-hype prediction price | EUR 103.94 |
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.
Datadog |
Datadog Additional Predictive Modules
Most predictive techniques to examine Datadog price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Datadog using various technical indicators. When you analyze Datadog 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 |
Datadog Simple Moving Average Price Forecast For the 4th of February
Given 90 days horizon, the Simple Moving Average forecasted value of Datadog on the next trading day is expected to be 110.06 with a mean absolute deviation of 3.85, mean absolute percentage error of 32.89, and the sum of the absolute errors of 230.74.Please note that although there have been many attempts to predict Datadog Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Datadog's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Datadog Stock Forecast Pattern
| Backtest Datadog | Datadog Price Prediction | Research Analysis |
Datadog Forecasted Value
In the context of forecasting Datadog'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. Datadog's downside and upside margins for the forecasting period are 106.14 and 113.98, respectively. We have considered Datadog'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 Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Datadog stock data series using in forecasting. Note that when a statistical model is used to represent Datadog 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 | 119.7658 |
| Bias | Arithmetic mean of the errors | 0.7297 |
| MAD | Mean absolute deviation | 3.8457 |
| MAPE | Mean absolute percentage error | 0.0292 |
| SAE | Sum of the absolute errors | 230.74 |
Predictive Modules for Datadog
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Datadog. 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.Datadog After-Hype Price Density Analysis
As far as predicting the price of Datadog 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 Datadog 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 Datadog, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Datadog Estimiated After-Hype Price Volatility
In the context of predicting Datadog's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Datadog's historical news coverage. Datadog's after-hype downside and upside margins for the prediction period are 100.06 and 107.82, respectively. We have considered Datadog'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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Datadog is very steady at this time. Analysis and calculation of next after-hype price of Datadog is based on 3 months time horizon.
Datadog Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Datadog is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Datadog 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 Datadog, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.28 | 3.92 | 1.66 | 0.14 | 9 Events / Month | 1 Events / Month | In about 9 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
110.06 | 103.94 | 1.96 |
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Datadog Hype Timeline
Datadog is presently traded for 110.06on Frankfurt Exchange of Germany. The entity has historical hype elasticity of -1.66, and average elasticity to hype of competition of 0.14. Datadog is estimated to decline in value after the next headline, with the price expected to drop to 103.94. The average volatility of media hype impact on the company price is about 65.99%. The price reduction on the next news is expected to be -1.96%, whereas the daily expected return is presently at -0.28%. The volatility of related hype on Datadog is about 791.92%, with the expected price after the next announcement by competition of 110.20. About 92.0% of the company shares are owned by institutions such as pension funds. The company has Price/Earnings To Growth (PEG) ratio of 1.25. Datadog had not issued any dividends in recent years. Assuming the 90 days horizon the next estimated press release will be in about 9 days. Check out Historical Fundamental Analysis of Datadog to cross-verify your projections.Datadog Related Hype Analysis
Having access to credible news sources related to Datadog's direct competition is more important than ever and may enhance your ability to predict Datadog's future price movements. Getting to know how Datadog's peers 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 Datadog may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| I43 | Jacquet Metal Service | (0.02) | 1 per month | 1.43 | 0.15 | 6.26 | (2.72) | 11.57 | |
| GOKA | Office Properties Income | 0.00 | 9 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| GSZ | CSSC Offshore Marine | 0.00 | 4 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| A41 | Addus HomeCare | 2.50 | 6 per month | 0.00 | (0.15) | 2.79 | (4.33) | 13.94 | |
| KBH | KB HOME | 0.50 | 8 per month | 0.00 | (0.08) | 2.94 | (2.86) | 11.57 | |
| SZL | Solstad Offshore ASA | (0.01) | 4 per month | 2.71 | 0.08 | 3.35 | (2.72) | 20.03 |
Other Forecasting Options for Datadog
For every potential investor in Datadog, whether a beginner or expert, Datadog's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Datadog Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Datadog. Basic forecasting techniques help filter out the noise by identifying Datadog's price trends.Datadog 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 Datadog stock to make a market-neutral strategy. Peer analysis of Datadog could also be used in its relative valuation, which is a method of valuing Datadog by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Datadog Market Strength Events
Market strength indicators help investors to evaluate how Datadog stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Datadog shares will generate the highest return on investment. By undertsting and applying Datadog stock market strength indicators, traders can identify Datadog entry and exit signals to maximize returns.
Datadog Risk Indicators
The analysis of Datadog'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 Datadog's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting datadog 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 | 2.2 | |||
| Standard Deviation | 3.75 | |||
| Variance | 14.08 |
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.
Story Coverage note for Datadog
The number of cover stories for Datadog depends on current market conditions and Datadog's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Datadog 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 Datadog's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Check out Historical Fundamental Analysis of Datadog to cross-verify your projections. For more detail on how to invest in Datadog Stock please use our How to Invest in Datadog guide.You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.