Deutsche Wohnen Pink Sheet Forecast - Simple Regression
| DWHHF Stock | USD 25.40 0.00 0.00% |
The Simple Regression forecasted value of Deutsche Wohnen SE on the next trading day is expected to be 25.40 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. Deutsche Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Deutsche Wohnen's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 23rd of January 2026 the relative strength index (rsi) of Deutsche Wohnen's share price is below 20 suggesting 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 Deutsche Wohnen hype-based prediction, you can estimate the value of Deutsche Wohnen SE from the perspective of Deutsche Wohnen response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Deutsche Wohnen SE on the next trading day is expected to be 25.40 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. Deutsche Wohnen after-hype prediction price | USD 25.4 |
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.
Deutsche |
Deutsche Wohnen Additional Predictive Modules
Most predictive techniques to examine Deutsche price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Deutsche using various technical indicators. When you analyze Deutsche 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 |
Deutsche Wohnen Simple Regression Price Forecast For the 24th of January
Given 90 days horizon, the Simple Regression forecasted value of Deutsche Wohnen SE on the next trading day is expected to be 25.40 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.Please note that although there have been many attempts to predict Deutsche 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 Deutsche Wohnen's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Deutsche Wohnen Pink Sheet Forecast Pattern
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Deutsche Wohnen Forecasted Value
In the context of forecasting Deutsche Wohnen'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. Deutsche Wohnen's downside and upside margins for the forecasting period are 25.40 and 25.40, respectively. We have considered Deutsche Wohnen'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 Deutsche Wohnen pink sheet data series using in forecasting. Note that when a statistical model is used to represent Deutsche Wohnen 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 | 56.4773 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 0.0 |
| SAE | Sum of the absolute errors | 0.0 |
Predictive Modules for Deutsche Wohnen
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Deutsche Wohnen 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.Deutsche Wohnen After-Hype Price Prediction Density Analysis
As far as predicting the price of Deutsche Wohnen 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 Deutsche Wohnen 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 Deutsche Wohnen, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Deutsche Wohnen Estimiated After-Hype Price Volatility
In the context of predicting Deutsche Wohnen's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Deutsche Wohnen's historical news coverage. Deutsche Wohnen's after-hype downside and upside margins for the prediction period are 25.40 and 25.40, respectively. We have considered Deutsche Wohnen'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
Deutsche Wohnen is very steady at this time. Analysis and calculation of next after-hype price of Deutsche Wohnen SE is based on 3 months time horizon.
Deutsche Wohnen Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Deutsche Wohnen is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Deutsche Wohnen 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 Deutsche Wohnen, 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 |
0.00 | 0.00 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
25.40 | 25.40 | 0.00 |
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Deutsche Wohnen Hype Timeline
Deutsche Wohnen SE is currently traded for 25.40. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Deutsche 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 currently at 0.0%. %. The volatility of related hype on Deutsche Wohnen is about 0.0%, with the expected price after the next announcement by competition of 25.40. About 87.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 0.48. Some equities with similar Price to Book (P/B) outperform the market in the long run. Deutsche Wohnen SE last dividend was issued on the 3rd of June 2022. The entity had 384:379 split on the 21st of May 2015. Assuming the 90 days horizon the next forecasted press release will be in a few days. Check out Historical Fundamental Analysis of Deutsche Wohnen to cross-verify your projections.Deutsche Wohnen Related Hype Analysis
Having access to credible news sources related to Deutsche Wohnen's direct competition is more important than ever and may enhance your ability to predict Deutsche Wohnen's future price movements. Getting to know how Deutsche Wohnen'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 Deutsche Wohnen may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CHVKF | China Vanke Co | 0.00 | 0 per month | 0.00 | (0.12) | 4.44 | (6.25) | 17.25 | |
| SNLAF | Sino Land | 0.00 | 0 per month | 0.00 | 0.02 | 0.00 | 0.00 | 41.75 | |
| LNGPF | Longfor Group Holdings | 0.00 | 0 per month | 0.00 | 0 | 0.00 | 0.00 | 27.25 | |
| WARFY | Wharf Holdings | 0.00 | 0 per month | 3.00 | 0.04 | 8.83 | (6.71) | 23.33 | |
| BALDF | Fastighets AB Balder | 0.00 | 0 per month | 0.00 | (0.06) | 0.00 | (1.19) | 9.58 | |
| WARFF | Wharf Limited | 0.00 | 0 per month | 0.00 | 0.02 | 2.84 | 0.00 | 27.64 | |
| IFSUF | Infrastrutture Wireless Italiane | 0.00 | 0 per month | 0.00 | (0.09) | 3.54 | (5.07) | 18.58 | |
| LGFRY | Longfor Properties Co | 0.00 | 0 per month | 0.00 | (0.10) | 3.48 | (2.94) | 9.91 | |
| SNLAY | Sino Land Co | 0.00 | 0 per month | 3.05 | 0.05 | 8.21 | (6.03) | 21.39 | |
| SCOTF | Scout24 AG | 0.00 | 0 per month | 0.00 | (0.29) | 0.00 | 0.00 | 6.27 |
Other Forecasting Options for Deutsche Wohnen
For every potential investor in Deutsche, whether a beginner or expert, Deutsche Wohnen's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Deutsche Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Deutsche. Basic forecasting techniques help filter out the noise by identifying Deutsche Wohnen's price trends.Deutsche Wohnen 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 Deutsche Wohnen pink sheet to make a market-neutral strategy. Peer analysis of Deutsche Wohnen could also be used in its relative valuation, which is a method of valuing Deutsche Wohnen by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Deutsche Wohnen Market Strength Events
Market strength indicators help investors to evaluate how Deutsche Wohnen 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 Deutsche Wohnen shares will generate the highest return on investment. By undertsting and applying Deutsche Wohnen pink sheet market strength indicators, traders can identify Deutsche Wohnen SE entry and exit signals to maximize returns.
Story Coverage note for Deutsche Wohnen
The number of cover stories for Deutsche Wohnen depends on current market conditions and Deutsche Wohnen's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Deutsche Wohnen 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 Deutsche Wohnen'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 Deutsche Pink Sheet
Deutsche Wohnen financial ratios help investors to determine whether Deutsche 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 Deutsche with respect to the benefits of owning Deutsche Wohnen security.