SAP SE Pink Sheet Forecast - Simple Regression
| SAPGF Stock | USD 233.30 9.68 4.33% |
The Simple Regression forecasted value of SAP SE on the next trading day is expected to be 232.99 with a mean absolute deviation of 5.21 and the sum of the absolute errors of 317.94. SAP Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of SAP SE's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 23rd of January 2026 the relative strength index (rsi) of SAP SE's share price is below 20 . This usually implies that the pink sheet 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 SAP SE hype-based prediction, you can estimate the value of SAP SE from the perspective of SAP SE response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of SAP SE on the next trading day is expected to be 232.99 with a mean absolute deviation of 5.21 and the sum of the absolute errors of 317.94. SAP SE after-hype prediction price | USD 233.3 |
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
SAP |
SAP SE Additional Predictive Modules
Most predictive techniques to examine SAP price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for SAP using various technical indicators. When you analyze SAP 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 | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
SAP SE Simple Regression Price Forecast For the 24th of January
Given 90 days horizon, the Simple Regression forecasted value of SAP SE on the next trading day is expected to be 232.99 with a mean absolute deviation of 5.21, mean absolute percentage error of 46.11, and the sum of the absolute errors of 317.94.Please note that although there have been many attempts to predict SAP Pink Sheet 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 SAP SE's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
SAP SE Pink Sheet Forecast Pattern
| Backtest SAP SE | SAP SE Price Prediction | Buy or Sell Advice |
SAP SE Forecasted Value
In the context of forecasting SAP SE's Pink Sheet 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. SAP SE's downside and upside margins for the forecasting period are 231.29 and 234.69, respectively. We have considered SAP SE'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 Regression forecasting method's relative quality and the estimations of the prediction error of SAP SE pink sheet data series using in forecasting. Note that when a statistical model is used to represent SAP SE pink sheet, 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 | 121.9416 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 5.2122 |
| MAPE | Mean absolute percentage error | 0.0213 |
| SAE | Sum of the absolute errors | 317.9428 |
Predictive Modules for SAP SE
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SAP SE. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.SAP SE After-Hype Price Prediction Density Analysis
As far as predicting the price of SAP SE 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 SAP SE 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 Pink Sheet prices, such as prices of SAP SE, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
SAP SE Estimiated After-Hype Price Volatility
In the context of predicting SAP SE's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on SAP SE's historical news coverage. SAP SE's after-hype downside and upside margins for the prediction period are 231.60 and 235.00, respectively. We have considered SAP SE'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
SAP SE is very steady at this time. Analysis and calculation of next after-hype price of SAP SE is based on 3 months time horizon.
SAP SE Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as SAP SE is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading SAP SE 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 Pink Sheet 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 SAP SE, 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 |
0.23 | 1.70 | 0.00 | 0.00 | 0 Events / Month | 1 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
233.30 | 233.30 | 0.00 |
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SAP SE Hype Timeline
SAP SE is at this time traded for 233.30. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. SAP is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at -0.23%. %. The volatility of related hype on SAP SE is about 42500.0%, with the expected price after the next announcement by competition of 233.30. About 12.0% of the company outstanding shares are owned by corporate insiders. The book value of SAP SE was at this time reported as 34.42. The company has Price/Earnings To Growth (PEG) ratio of 1.84. SAP SE last dividend was issued on the 19th of May 2022. The entity had 4:1 split on the 22nd of December 2006. Assuming the 90 days horizon the next forecasted press release will be within a week. Check out Historical Fundamental Analysis of SAP SE to cross-verify your projections.SAP SE Related Hype Analysis
Having access to credible news sources related to SAP SE's direct competition is more important than ever and may enhance your ability to predict SAP SE's future price movements. Getting to know how SAP SE'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 SAP SE may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SSNLF | Samsung Electronics Co | 0.00 | 0 per month | 0.00 | 0.33 | 60.62 | 0.00 | 0.00 | |
| ASMLF | ASML Holding NV | 0.00 | 0 per month | 2.16 | 0.15 | 5.55 | (3.42) | 11.95 | |
| OBIIF | OBIC CoLtd | 0.00 | 0 per month | 0.00 | (0.40) | 0.00 | 0.00 | 1.23 | |
| DASTY | Dassault Systemes SA | 0.00 | 0 per month | 0.00 | (0.18) | 1.87 | (2.37) | 13.94 | |
| DASTF | Dassault Systemes SE | 0.00 | 0 per month | 0.00 | (0.11) | 3.31 | (4.90) | 14.85 | |
| SGPYY | The Sage Group | (0.02) | 6 per month | 0.00 | (0.13) | 1.93 | (2.70) | 7.74 | |
| SGGEF | The Sage Group | (0.02) | 6 per month | 0.00 | (0.16) | 3.19 | (4.89) | 13.77 | |
| OCLCF | Oracle Japan | 0.00 | 0 per month | 0.00 | (0.22) | 0.00 | 0.00 | 6.72 | |
| AILQF | AirIQ Inc | 0.00 | 0 per month | 0.00 | 0.04 | 0.00 | 0.00 | 30.95 | |
| QTGPF | Qt Group Oyj | 0.00 | 0 per month | 0.00 | (0.17) | 0.00 | (0.72) | 17.14 |
Other Forecasting Options for SAP SE
For every potential investor in SAP, whether a beginner or expert, SAP SE's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SAP Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SAP. Basic forecasting techniques help filter out the noise by identifying SAP SE's price trends.SAP SE 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 SAP SE pink sheet to make a market-neutral strategy. Peer analysis of SAP SE could also be used in its relative valuation, which is a method of valuing SAP SE by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
SAP SE Market Strength Events
Market strength indicators help investors to evaluate how SAP SE pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SAP SE shares will generate the highest return on investment. By undertsting and applying SAP SE pink sheet market strength indicators, traders can identify SAP SE entry and exit signals to maximize returns.
SAP SE Risk Indicators
The analysis of SAP SE'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 SAP SE's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sap pink sheet 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 | 1.25 | |||
| Standard Deviation | 1.7 | |||
| Variance | 2.9 |
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 SAP SE
The number of cover stories for SAP SE depends on current market conditions and SAP SE's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that SAP SE 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 SAP SE'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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Other Information on Investing in SAP Pink Sheet
SAP SE financial ratios help investors to determine whether SAP Pink Sheet 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 SAP with respect to the benefits of owning SAP SE security.