Deka Deutsche Etf Forward View - Simple Regression
| EL4V Etf | 100.24 0.05 0.05% |
Deka Etf outlook is based on your current time horizon. Investors can use this forecasting interface to forecast Deka Deutsche stock prices and determine the direction of Deka Deutsche Brse's future trends based on various well-known forecasting models. We suggest always using this module together with an analysis of Deka Deutsche's historical fundamentals, such as revenue growth or operating cash flow patterns.
At this time, The relative strength momentum indicator of Deka Deutsche's share price is at 53 suggesting that the etf is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Deka Deutsche, making its price go up or down. Momentum 53
Impartial
Oversold | Overbought |
Using Deka Deutsche hype-based prediction, you can estimate the value of Deka Deutsche Brse from the perspective of Deka Deutsche response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Deka Deutsche Brse on the next trading day is expected to be 98.66 with a mean absolute deviation of 0.65 and the sum of the absolute errors of 39.66. Deka Deutsche after-hype prediction price | EUR 100.24 |
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 etf price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Deka |
Deka Deutsche Additional Predictive Modules
Most predictive techniques to examine Deka price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Deka using various technical indicators. When you analyze Deka 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 |
Deka Deutsche Simple Regression Price Forecast For the 19th of February
Given 90 days horizon, the Simple Regression forecasted value of Deka Deutsche Brse on the next trading day is expected to be 98.66 with a mean absolute deviation of 0.65, mean absolute percentage error of 0.64, and the sum of the absolute errors of 39.66.Please note that although there have been many attempts to predict Deka Etf 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 Deka Deutsche's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Deka Deutsche Etf Forecast Pattern
| Backtest Deka Deutsche | Deka Deutsche Price Prediction | Research Analysis |
Deka Deutsche Forecasted Value
In the context of forecasting Deka Deutsche's Etf 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. Deka Deutsche's downside and upside margins for the forecasting period are 98.31 and 99.02, respectively. We have considered Deka Deutsche'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 Deka Deutsche etf data series using in forecasting. Note that when a statistical model is used to represent Deka Deutsche etf, 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 | 117.657 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.6502 |
| MAPE | Mean absolute percentage error | 0.0066 |
| SAE | Sum of the absolute errors | 39.6621 |
Predictive Modules for Deka Deutsche
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Deka Deutsche Brse. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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.Deka Deutsche After-Hype Price Density Analysis
As far as predicting the price of Deka Deutsche 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 Deka Deutsche 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 Etf prices, such as prices of Deka Deutsche, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Deka Deutsche Estimiated After-Hype Price Volatility
In the context of predicting Deka Deutsche's etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Deka Deutsche's historical news coverage. Deka Deutsche's after-hype downside and upside margins for the prediction period are 99.88 and 100.60, respectively. We have considered Deka Deutsche'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
Deka Deutsche is very steady at this time. Analysis and calculation of next after-hype price of Deka Deutsche Brse is based on 3 months time horizon.
Deka Deutsche Etf Price Outlook Analysis
Have you ever been surprised when a price of a ETF such as Deka Deutsche is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Deka Deutsche 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 Etf 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 Deka Deutsche, 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 | 0.36 | 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 | |
100.24 | 100.24 | 0.00 |
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Deka Deutsche Hype Timeline
Deka Deutsche Brse is currently traded for 100.24on XETRA Stock Exchange of Germany. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Deka is anticipated 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 anticipated to be very small, whereas the daily expected return is currently at 0.0%. %. The volatility of related hype on Deka Deutsche is about 0.0%, with the expected price after the next announcement by competition of 100.24. The company had not issued any dividends in recent years. Assuming the 90 days trading horizon the next anticipated press release will be in a few days. Check out Historical Fundamental Analysis of Deka Deutsche to cross-verify your projections.Deka Deutsche Related Hype Analysis
Having access to credible news sources related to Deka Deutsche's direct competition is more important than ever and may enhance your ability to predict Deka Deutsche's future price movements. Getting to know how Deka Deutsche'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 Deka Deutsche may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| IBCL | iShares II Public | 0.00 | 0 per month | 0.00 | (0.15) | 0.64 | (0.79) | 2.91 | |
| EUN8 | iShares III Public | 0.00 | 0 per month | 0.26 | (0.12) | 0.37 | (0.48) | 1.27 | |
| LYQ6 | Multi Units Luxembourg | 0.00 | 0 per month | 0.24 | (0.09) | 0.46 | (0.55) | 1.39 | |
| DFOB | MULTI UNITS LUXEMBOURG | 0.00 | 0 per month | 0.00 | (0.15) | 0.71 | (1.02) | 3.78 |
Other Forecasting Options for Deka Deutsche
For every potential investor in Deka, whether a beginner or expert, Deka Deutsche's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Deka Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Deka. Basic forecasting techniques help filter out the noise by identifying Deka Deutsche's price trends.Deka Deutsche 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 Deka Deutsche etf to make a market-neutral strategy. Peer analysis of Deka Deutsche could also be used in its relative valuation, which is a method of valuing Deka Deutsche by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Deka Deutsche Market Strength Events
Market strength indicators help investors to evaluate how Deka Deutsche etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Deka Deutsche shares will generate the highest return on investment. By undertsting and applying Deka Deutsche etf market strength indicators, traders can identify Deka Deutsche Brse entry and exit signals to maximize returns.
Deka Deutsche Risk Indicators
The analysis of Deka Deutsche'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 Deka Deutsche's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting deka etf 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 | 0.2891 | |||
| Standard Deviation | 0.3605 | |||
| Variance | 0.13 |
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 Deka Deutsche
The number of cover stories for Deka Deutsche depends on current market conditions and Deka Deutsche's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Deka Deutsche 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 Deka Deutsche'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 Deka Etf
Deka Deutsche financial ratios help investors to determine whether Deka Etf 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 Deka with respect to the benefits of owning Deka Deutsche security.