Deutsche Bank Stock Forward View

DB Stock  USD 37.61  0.37  0.97%   
Deutsche Stock outlook 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 suggest 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
The successful prediction of Deutsche Bank's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Deutsche Bank AG, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting Deutsche Bank's stock price prediction:
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 Relative Strength Index

The Naive Prediction forecasted value of Deutsche Bank AG on the next trading day is expected to be 35.90 with a mean absolute deviation of 0.51 and the sum of the absolute errors of 31.76.

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.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Deutsche Bank's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Deutsche Bank.

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 Naive Prediction forecasted value of Deutsche Bank AG on the next trading day is expected to be 35.90 with a mean absolute deviation of 0.51 and the sum of the absolute errors of 31.76.

Deutsche Bank after-hype prediction price

    
  USD 37.61  
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 37.61, that is roughly USD 0.009873 . 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.

Deutsche Bank Cash Forecast

Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the Deutsche Bank's financial statements to predict how it will affect future prices.
 
Cash  
First Reported
2000-12-31
Previous Quarter
148 B
Current Value
164.7 B
Quarterly Volatility
66.5 B
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
A naive forecasting model for Deutsche Bank is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Deutsche Bank AG value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Deutsche Bank Naive Prediction Price Forecast For the 12th of February 2026

Given 90 days horizon, the Naive Prediction forecasted value of Deutsche Bank AG on the next trading day is expected to be 35.90 with a mean absolute deviation of 0.51, mean absolute percentage error of 0.44, and the sum of the absolute errors of 31.76.
Please note that although there have been many attempts to predict Deutsche 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 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

Backtest Deutsche Bank  Deutsche Bank Price Prediction  Research Analysis  

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 33.91 and 37.90, 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.
Market Value
37.61
35.90
Expected Value
37.90
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction 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.
AICAkaike Information Criteria119.1285
BiasArithmetic mean of the errors None
MADMean absolute deviation0.5122
MAPEMean absolute percentage error0.0137
SAESum of the absolute errors31.7561
This model is not at all useful as a medium-long range forecasting tool of Deutsche Bank AG. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Deutsche Bank. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

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.
Hype
Prediction
LowEstimatedHigh
35.6137.6139.61
Details
Intrinsic
Valuation
LowRealHigh
33.8539.9441.94
Details
0 Analysts
Consensus
LowTargetHigh
38.7742.6047.29
Details
Earnings
Estimates (0)
LowProjected EPSHigh
1.131.131.13
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Deutsche Bank. Your research has to be compared to or analyzed against Deutsche Bank's peers to derive any actionable benefits. When done correctly, Deutsche Bank's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Deutsche Bank AG.

Deutsche Bank After-Hype Price 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 35.61 and 39.61, 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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
37.61
37.61
After-hype Price
39.61
Upside
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 Outlook 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 ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.01 
2.00
 0.00  
  0.01 
8 Events / Month
5 Events / Month
In about 8 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
37.61
37.61
0.00 
1,538  
Notes

Deutsche Bank Hype Timeline

As of February 11, 2026 Deutsche Bank AG is listed for 37.61. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.01. 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 over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at 0.01%. %. The volatility of related hype on Deutsche Bank is about 262.73%, with the expected price after the next announcement by competition of 37.62. 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 0.79. 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 1.74. 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 8 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.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
LYGLloyds Banking Group 0.08 7 per month 1.47  0.14  2.99 (2.38) 10.01 
USBUS Bancorp 1.22 10 per month 0.69  0.25  2.67 (1.40) 6.01 
PNCPNC Financial Services 4.54 8 per month 0.49  0.26  2.38 (1.53) 5.33 
ITUBItau Unibanco Banco 0.12 10 per month 1.77  0.19  3.67 (3.41) 9.71 
MFGMizuho Financial Group(0.05)8 per month 1.14  0.30  3.35 (2.77) 7.66 
TFCTruist Financial Corp 0.60 4 per month 0.53  0.24  2.41 (1.45) 5.27 
WFCWells Fargo(0.59)7 per month 1.40  0.01  2.23 (2.09) 8.11 
HDBHDFC Bank Limited 0.17 10 per month 0.00 (0.12) 1.38 (1.92) 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.
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.
Check out Historical Fundamental Analysis of Deutsche Bank to cross-verify your projections.
You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
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. Projected growth potential of Deutsche fundamentally drives upward valuation adjustments. The financial industry is built on trying to define current growth potential and future valuation accurately. Comprehensive Deutsche Bank assessment requires weighing all these inputs, though not all factors influence outcomes equally.
Quarterly Earnings Growth
0.099
Dividend Share
0.68
Earnings Share
2.91
Revenue Per Share
15.2
Quarterly Revenue Growth
0.089
Deutsche Bank AG's market price often diverges from its book value, the accounting figure shown on Deutsche's balance sheet. Smart investors calculate Deutsche Bank's intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Since Deutsche Bank's trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
It's important to distinguish between Deutsche Bank's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Deutsche Bank should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. 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.