Deutsche Bank Stock Forecast - Polynomial Regression
| DB Stock | USD 39.08 0.06 0.15% |
The Polynomial Regression forecasted value of Deutsche Bank AG on the next trading day is expected to be 38.28 with a mean absolute deviation of 0.76 and the sum of the absolute errors of 46.37. Deutsche Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Deutsche Bank stock prices and determine the direction of Deutsche Bank AG's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Deutsche Bank's historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time the relative strength index (rsi) of Deutsche Bank's share price is below 20 suggesting 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 |
Quarterly Earnings Growth 0.099 | EPS Estimate Next Quarter 0.7014 | EPS Estimate Current Year 3.6496 | EPS Estimate Next Year 4.5314 | Wall Street Target Price 42.6 |
Using Deutsche Bank hype-based prediction, you can estimate the value of Deutsche Bank AG from the perspective of Deutsche Bank response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Deutsche Bank using Deutsche Bank's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Deutsche using crowd psychology based on the activity and movement of Deutsche Bank's stock price.
Deutsche Bank Short Interest
A significant increase or decrease in Deutsche Bank's short interest from the previous month could be a good indicator of investor sentiment towards Deutsche. Short interest can provide insight into the potential direction of Deutsche Bank stock and how bullish or bearish investors feel about the market overall.
200 Day MA 29.3686 | Short Percent 0.0046 | Short Ratio 4.17 | Shares Short Prior Month 8.6 M | 50 Day MA 35.6312 |
Deutsche Bank AG Hype to Price Pattern
Investor biases related to Deutsche Bank's public news can be used to forecast risks associated with an investment in Deutsche. The trend in average sentiment can be used to explain how an investor holding Deutsche can time the market purely based on public headlines and social activities around Deutsche Bank AG. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Deutsche Bank Implied Volatility | 0.42 |
Deutsche Bank's implied volatility exposes the market's sentiment of Deutsche Bank AG stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Deutsche Bank's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Deutsche Bank stock will not fluctuate a lot when Deutsche Bank's options are near their expiration.
The Polynomial Regression forecasted value of Deutsche Bank AG on the next trading day is expected to be 38.28 with a mean absolute deviation of 0.76 and the sum of the absolute errors of 46.37. Deutsche Bank after-hype prediction price | USD 39.07 |
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.
Check out Historical Fundamental Analysis of Deutsche Bank to cross-verify your projections. Prediction based on Rule 16 of the current Deutsche contract
Based on the Rule 16, the options market is currently suggesting that Deutsche Bank AG will have an average daily up or down price movement of about 0.0263% per day over the life of the 2026-04-17 option contract. With Deutsche Bank trading at USD 39.08, that is roughly USD 0.0103 . If you think that the market is fully incorporating Deutsche Bank's daily price movement you should consider acquiring Deutsche Bank AG options at the current volatility level of 0.42%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Open Interest Against 2026-04-17 Deutsche Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Deutsche Bank's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Deutsche Bank's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Deutsche Bank stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Deutsche Bank's open interest, investors have to compare it to Deutsche Bank's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Deutsche Bank is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Deutsche. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Deutsche Bank 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 Bank Polynomial Regression Price Forecast For the 26th of January
Given 90 days horizon, the Polynomial Regression forecasted value of Deutsche Bank AG on the next trading day is expected to be 38.28 with a mean absolute deviation of 0.76, mean absolute percentage error of 1.06, and the sum of the absolute errors of 46.37.Please note that although there have been many attempts to predict Deutsche 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 Deutsche Bank's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Deutsche Bank Stock Forecast Pattern
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Deutsche Bank Forecasted Value
In the context of forecasting Deutsche Bank'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. Deutsche Bank's downside and upside margins for the forecasting period are 36.43 and 40.12, respectively. We have considered Deutsche Bank'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Deutsche Bank stock data series using in forecasting. Note that when a statistical model is used to represent Deutsche Bank 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 | 118.1663 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.7601 |
| MAPE | Mean absolute percentage error | 0.0207 |
| SAE | Sum of the absolute errors | 46.3669 |
Predictive Modules for Deutsche Bank
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 Bank AG. 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.Deutsche Bank After-Hype Price Prediction Density Analysis
As far as predicting the price of Deutsche Bank 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 Bank 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 Deutsche Bank, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Deutsche Bank Estimiated After-Hype Price Volatility
In the context of predicting Deutsche Bank's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Deutsche Bank's historical news coverage. Deutsche Bank's after-hype downside and upside margins for the prediction period are 37.22 and 40.92, respectively. We have considered Deutsche Bank'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 Bank is very steady at this time. Analysis and calculation of next after-hype price of Deutsche Bank AG is based on 3 months time horizon.
Deutsche Bank Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Deutsche Bank is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Deutsche Bank 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 Deutsche Bank, 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 |
0.24 | 1.85 | 0.01 | 0.31 | 9 Events / Month | 6 Events / Month | In about 9 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
39.08 | 39.07 | 0.03 |
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Deutsche Bank Hype Timeline
As of January 25, 2026 Deutsche Bank AG is listed for 39.08. The entity has historical hype elasticity of -0.01, and average elasticity to hype of competition of -0.31. Deutsche is forecasted to decline in value after the next headline, with the price expected to drop to 39.07. The average volatility of media hype impact on the company price is over 100%. The price decline on the next news is expected to be -0.03%, whereas the daily expected return is currently at 0.24%. The volatility of related hype on Deutsche Bank is about 142.86%, with the expected price after the next announcement by competition of 38.77. About 54.0% of the company shares are held by institutions such as insurance companies. The company has price-to-book (P/B) ratio of 0.82. Some equities with similar Price to Book (P/B) outperform the market in the long run. Deutsche Bank AG has Price/Earnings To Growth (PEG) ratio of 0.5. The entity last dividend was issued on the 23rd of May 2025. The firm had 1048:1000 split on the 6th of June 2014. Allowing for the 90-day total investment horizon the next forecasted press release will be in about 9 days. Check out Historical Fundamental Analysis of Deutsche Bank to cross-verify your projections.Deutsche Bank Related Hype Analysis
Having access to credible news sources related to Deutsche Bank's direct competition is more important than ever and may enhance your ability to predict Deutsche Bank's future price movements. Getting to know how Deutsche Bank'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 Bank may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| LYG | Lloyds Banking Group | 0.04 | 6 per month | 1.05 | 0.19 | 2.41 | (2.11) | 6.27 | |
| USB | US Bancorp | 0.41 | 8 per month | 0.82 | 0.16 | 2.52 | (1.35) | 6.01 | |
| PNC | PNC Financial Services | 0.41 | 27 per month | 0.60 | 0.18 | 2.38 | (1.53) | 5.33 | |
| ITUB | Itau Unibanco Banco | (10.54) | 12 per month | 1.56 | 0.17 | 2.71 | (2.15) | 9.71 | |
| MFG | Mizuho Financial Group | 0.71 | 8 per month | 1.15 | 0.23 | 2.99 | (2.03) | 7.66 | |
| TFC | Truist Financial Corp | (0.19) | 6 per month | 0.67 | 0.14 | 1.80 | (1.17) | 5.12 | |
| WFC | Wells Fargo | (1.73) | 7 per month | 1.38 | (0.03) | 2.15 | (1.95) | 8.12 | |
| HDB | HDFC Bank Limited | 0.53 | 17 per month | 0.00 | (0.21) | 1.27 | (1.94) | 8.44 |
Other Forecasting Options for Deutsche Bank
For every potential investor in Deutsche, whether a beginner or expert, Deutsche Bank's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Deutsche Stock 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 Bank's price trends.Deutsche Bank 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 Bank stock to make a market-neutral strategy. Peer analysis of Deutsche Bank could also be used in its relative valuation, which is a method of valuing Deutsche Bank by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Deutsche Bank Market Strength Events
Market strength indicators help investors to evaluate how Deutsche Bank stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Deutsche Bank shares will generate the highest return on investment. By undertsting and applying Deutsche Bank stock market strength indicators, traders can identify Deutsche Bank AG entry and exit signals to maximize returns.
Deutsche Bank Risk Indicators
The analysis of Deutsche Bank'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 Deutsche Bank's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting deutsche 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 | |||
| Semi Deviation | 1.71 | |||
| Standard Deviation | 1.82 | |||
| Variance | 3.3 | |||
| Downside Variance | 4.08 | |||
| Semi Variance | 2.92 | |||
| Expected Short fall | (1.35) |
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 Deutsche Bank
The number of cover stories for Deutsche Bank depends on current market conditions and Deutsche Bank'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 Bank 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 Bank'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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Deutsche Bank Short Properties
Deutsche Bank's future price predictability will typically decrease when Deutsche Bank's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Deutsche Bank AG often depends not only on the future outlook of the potential Deutsche Bank's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Deutsche Bank's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 2 B | |
| Cash And Short Term Investments | 187.9 B |
Check out Historical Fundamental Analysis of Deutsche Bank to cross-verify your projections. You can also try the ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
Is Diversified Capital Markets space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Deutsche Bank. If investors know Deutsche will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Deutsche Bank listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.099 | Dividend Share 0.68 | Earnings Share 2.91 | Revenue Per Share | Quarterly Revenue Growth 0.089 |
The market value of Deutsche Bank AG is measured differently than its book value, which is the value of Deutsche that is recorded on the company's balance sheet. Investors also form their own opinion of Deutsche Bank's value that differs from its market value or its book value, called intrinsic value, which is Deutsche Bank's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Deutsche Bank's market value can be influenced by many factors that don't directly affect Deutsche Bank's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Deutsche Bank's value and its price as these two are different measures arrived at by different means. Investors typically determine if Deutsche Bank is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Deutsche Bank's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.