Designer Brands Stock Forward View - Simple Moving Average
| DBI Stock | USD 6.34 0.12 1.93% |
Designer Stock outlook is based on your current time horizon. We suggest always using this module together with an analysis of Designer Brands' historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 2nd of February 2026, the value of RSI of Designer Brands' share price is approaching 47 suggesting that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Designer Brands, making its price go up or down. Momentum 47
Impartial
Oversold | Overbought |
Quarterly Earnings Growth 0.458 | EPS Estimate Current Year (0.04) | EPS Estimate Next Year 0.4249 | Wall Street Target Price 7.25 | EPS Estimate Current Quarter 0.1782 |
Using Designer Brands hype-based prediction, you can estimate the value of Designer Brands from the perspective of Designer Brands response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Designer Brands using Designer Brands' stock options and short interest. It helps to benchmark the overall future attitude of investors towards Designer using crowd psychology based on the activity and movement of Designer Brands' stock price.
Designer Brands Short Interest
A significant increase or decrease in Designer Brands' short interest from the previous month could be a good indicator of investor sentiment towards Designer. Short interest can provide insight into the potential direction of Designer Brands stock and how bullish or bearish investors feel about the market overall.
200 Day MA 4.1573 | Short Percent 0.499 | Short Ratio 6.62 | Shares Short Prior Month 7.4 M | 50 Day MA 6.61 |
Designer Relative Strength Index
The Simple Moving Average forecasted value of Designer Brands on the next trading day is expected to be 6.34 with a mean absolute deviation of 0.32 and the sum of the absolute errors of 19.11.Designer Brands Hype to Price Pattern
Investor biases related to Designer Brands' public news can be used to forecast risks associated with an investment in Designer. The trend in average sentiment can be used to explain how an investor holding Designer can time the market purely based on public headlines and social activities around Designer Brands. 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 Designer Brands' market sentiment to its price can help taders to make decisions based on the overall investors consensus about Designer Brands.
Designer Brands Implied Volatility | 1.22 |
Designer Brands' implied volatility exposes the market's sentiment of Designer Brands stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Designer Brands' 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 Designer Brands stock will not fluctuate a lot when Designer Brands' options are near their expiration.
The Simple Moving Average forecasted value of Designer Brands on the next trading day is expected to be 6.34 with a mean absolute deviation of 0.32 and the sum of the absolute errors of 19.11. Designer Brands after-hype prediction price | USD 6.51 |
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 Designer Brands to cross-verify your projections. Open Interest Against 2026-04-17 Designer Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Designer Brands' 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 Designer Brands' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Designer Brands 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 Designer Brands' open interest, investors have to compare it to Designer Brands' 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 Designer Brands 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 Designer. 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.
Designer Brands Additional Predictive Modules
Most predictive techniques to examine Designer price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Designer using various technical indicators. When you analyze Designer 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 |
Designer Brands Simple Moving Average Price Forecast For the 3rd of February
Given 90 days horizon, the Simple Moving Average forecasted value of Designer Brands on the next trading day is expected to be 6.34 with a mean absolute deviation of 0.32, mean absolute percentage error of 0.28, and the sum of the absolute errors of 19.11.Please note that although there have been many attempts to predict Designer 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 Designer Brands' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Designer Brands Stock Forecast Pattern
| Backtest Designer Brands | Designer Brands Price Prediction | Research Analysis |
Designer Brands Forecasted Value
In the context of forecasting Designer Brands' 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. Designer Brands' downside and upside margins for the forecasting period are 0.06 and 14.36, respectively. We have considered Designer Brands' 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 Moving Average forecasting method's relative quality and the estimations of the prediction error of Designer Brands stock data series using in forecasting. Note that when a statistical model is used to represent Designer Brands 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 | 113.1794 |
| Bias | Arithmetic mean of the errors | -0.0607 |
| MAD | Mean absolute deviation | 0.3239 |
| MAPE | Mean absolute percentage error | 0.051 |
| SAE | Sum of the absolute errors | 19.11 |
Predictive Modules for Designer Brands
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Designer Brands. 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.Designer Brands After-Hype Price Density Analysis
As far as predicting the price of Designer Brands 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 Designer Brands 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 Designer Brands, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Designer Brands Estimiated After-Hype Price Volatility
In the context of predicting Designer Brands' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Designer Brands' historical news coverage. Designer Brands' after-hype downside and upside margins for the prediction period are 0.33 and 14.53, respectively. We have considered Designer Brands' 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
Designer Brands is unstable at this time. Analysis and calculation of next after-hype price of Designer Brands is based on 3 months time horizon.
Designer Brands Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Designer Brands is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Designer Brands 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 Designer Brands, 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 |
1.22 | 8.02 | 0.17 | 0.06 | 8 Events / Month | 6 Events / Month | In about 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
6.34 | 6.51 | 2.68 |
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Designer Brands Hype Timeline
On the 2nd of February Designer Brands is traded for 6.34. The entity has historical hype elasticity of 0.17, and average elasticity to hype of competition of -0.06. Designer is forecasted to increase in value after the next headline, with the price projected to jump to 6.51 or above. The average volatility of media hype impact on the company the price is over 100%. The price growth on the next news is projected to be 2.68%, whereas the daily expected return is currently at 1.22%. The volatility of related hype on Designer Brands is about 17063.83%, with the expected price after the next announcement by competition of 6.28. Designer Brands has 1.29 B in debt with debt to equity (D/E) ratio of 3.23, meaning that the company heavily relies on borrowing funds for operations. Considering the 90-day investment horizon the next forecasted press release will be in about 8 days. Check out Historical Fundamental Analysis of Designer Brands to cross-verify your projections.Designer Brands Related Hype Analysis
Having access to credible news sources related to Designer Brands' direct competition is more important than ever and may enhance your ability to predict Designer Brands' future price movements. Getting to know how Designer Brands' 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 Designer Brands may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| JILL | JJill Inc | (0.20) | 6 per month | 3.08 | (0.01) | 5.40 | (4.01) | 19.92 | |
| BZUN | Baozun Inc | (0.17) | 6 per month | 0.00 | (0.19) | 4.10 | (4.17) | 11.42 | |
| PLCE | Childrens Place | 0.16 | 6 per month | 0.00 | (0.15) | 7.27 | (8.42) | 49.46 | |
| SRI | Stoneridge | (0.14) | 10 per month | 0.00 | (0.04) | 5.64 | (4.11) | 18.36 | |
| MSC | Studio City International | 0.01 | 10 per month | 0.00 | (0.08) | 7.67 | (7.93) | 25.28 | |
| LOGC | Contextlogic | 0.04 | 28 per month | 1.44 | 0.02 | 4.12 | (2.80) | 9.27 | |
| LAKE | Lakeland Industries | (0.12) | 8 per month | 0.00 | (0.13) | 4.57 | (4.41) | 43.80 | |
| JAKK | JAKKS Pacific | 0.27 | 8 per month | 0.00 | (0.02) | 4.74 | (4.54) | 11.05 | |
| HBB | Hamilton Beach Brands | (0.66) | 7 per month | 1.88 | 0.14 | 5.68 | (3.74) | 17.33 | |
| FLXS | Flexsteel Industries | 0.34 | 8 per month | 1.79 | 0.07 | 5.22 | (3.18) | 9.20 |
Other Forecasting Options for Designer Brands
For every potential investor in Designer, whether a beginner or expert, Designer Brands' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Designer Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Designer. Basic forecasting techniques help filter out the noise by identifying Designer Brands' price trends.Designer Brands 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 Designer Brands stock to make a market-neutral strategy. Peer analysis of Designer Brands could also be used in its relative valuation, which is a method of valuing Designer Brands by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Designer Brands Market Strength Events
Market strength indicators help investors to evaluate how Designer Brands stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Designer Brands shares will generate the highest return on investment. By undertsting and applying Designer Brands stock market strength indicators, traders can identify Designer Brands entry and exit signals to maximize returns.
Designer Brands Risk Indicators
The analysis of Designer Brands' 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 Designer Brands' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting designer 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 | 4.77 | |||
| Semi Deviation | 3.63 | |||
| Standard Deviation | 7.84 | |||
| Variance | 61.47 | |||
| Downside Variance | 16.9 | |||
| Semi Variance | 13.2 | |||
| Expected Short fall | (6.42) |
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 Designer Brands
The number of cover stories for Designer Brands depends on current market conditions and Designer Brands' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Designer Brands 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 Designer Brands' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Designer Brands Short Properties
Designer Brands' future price predictability will typically decrease when Designer Brands' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Designer Brands often depends not only on the future outlook of the potential Designer Brands' 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. Designer Brands' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 53.7 M | |
| Cash And Short Term Investments | 44.8 M |
Check out Historical Fundamental Analysis of Designer Brands to cross-verify your projections. For more detail on how to invest in Designer Stock please use our How to Invest in Designer Brands guide.You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
Is there potential for Specialty Retail market expansion? Will Designer introduce new products? Factors like these will boost the valuation of Designer Brands. Projected growth potential of Designer fundamentally drives upward valuation adjustments. Understanding fair value requires weighing current performance against future potential. All the valuation information about Designer Brands 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 0.458 | Dividend Share 0.2 | Earnings Share (0.47) | Revenue Per Share | Quarterly Revenue Growth (0.03) |
Designer Brands's market price often diverges from its book value, the accounting figure shown on Designer's balance sheet. Smart investors calculate Designer Brands' intrinsic value—its true economic worth—which may differ significantly from both market price and book value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. Since Designer Brands' trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
It's important to distinguish between Designer Brands' intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Designer Brands should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. However, Designer Brands' 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.