Designer Brands Stock Price Patterns
| DBI Stock | USD 7.19 0.57 8.61% |
Momentum 41
Sell Extended
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 4.3241 | Short Percent 0.5135 | Short Ratio 7.95 | Shares Short Prior Month 7 M | 50 Day MA 7.1014 |
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 | 1.24 |
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 fear of missing out, i.e., FOMO, can cause potential investors in Designer Brands to buy its stock at a price that has no basis in reality. In that case, they are not buying Designer because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Designer Brands after-hype prediction price | USD 7.93 |
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 Designer Brands Basic Forecasting Models to cross-verify your projections. 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 0.40 and 16.04, 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 |
1.43 | 8.10 | 0.60 | 0.35 | 12 Events / Month | 5 Events / Month | In about 12 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
7.19 | 7.93 | 9.53 |
|
Designer Brands Hype Timeline
On the 13th of February 2026 Designer Brands is traded for 7.19. The entity has historical hype elasticity of -0.6, and average elasticity to hype of competition of -0.35. Designer is forecasted to increase in value after the next headline, with the price projected to jump to 7.93 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 9.53%, whereas the daily expected return is currently at 1.43%. The volatility of related hype on Designer Brands is about 3347.11%, with the expected price after the next announcement by competition of 6.84. The Designer Brands' current Return On Tangible Assets is estimated to increase to -0.0064. The current Return On Capital Employed is estimated to decrease to 0.03. As of now, Designer Brands' Net Tangible Assets are decreasing as compared to previous years. The Designer Brands' current Intangibles To Total Assets is estimated to increase to 0.13, while Total Assets are projected to decrease to under 1.3 B. Designer Brands' management efficiency ratios could be used to measure how well Designer Brands manages its routine affairs as well as how well it operates its assets and liabilities. Considering the 90-day investment horizon the next forecasted press release will be in about 12 days. Check out Designer Brands Basic Forecasting Models 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 | (0.09) | 8 per month | 2.96 | 0.03 | 5.40 | (3.54) | 19.92 | |
| BZUN | Baozun Inc | 0.07 | 9 per month | 0.00 | (0.11) | 4.27 | (4.17) | 11.42 | |
| PLCE | Childrens Place | 0.08 | 5 per month | 0.00 | (0.18) | 6.26 | (7.13) | 46.28 | |
| SRI | Stoneridge | 0.47 | 10 per month | 2.19 | 0.16 | 5.70 | (3.72) | 20.44 | |
| MSC | Studio City International | (0.26) | 9 per month | 0.00 | (0.07) | 6.71 | (7.93) | 25.28 | |
| LOGC | Contextlogic | 0.00 | 0 per month | 1.09 | 0.03 | 1.81 | (2.19) | 7.55 | |
| LAKE | Lakeland Industries | 0.00 | 0 per month | 0.00 | (0.09) | 4.57 | (4.39) | 43.80 | |
| JAKK | JAKKS Pacific | 0.75 | 9 per month | 1.76 | 0 | 4.46 | (2.82) | 9.42 | |
| HBB | Hamilton Beach Brands | (0.11) | 7 per month | 1.67 | 0.16 | 5.68 | (3.68) | 17.33 | |
| FLXS | Flexsteel Industries | (3.33) | 7 per month | 1.40 | 0.20 | 5.37 | (3.04) | 26.26 |
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 |
About Designer Brands Predictive Indicators
The successful prediction of Designer Brands stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Designer Brands, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Designer Brands based on analysis of Designer Brands hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Designer Brands's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Designer Brands's related companies. | 2023 | 2024 | 2025 | 2026 (projected) | Dividend Yield | 0.0231 | 0.0387 | 0.0445 | 0.0354 | Price To Sales Ratio | 0.17 | 0.0897 | 0.1 | 0.098 |
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Complementary Tools for Designer Stock analysis
When running Designer Brands' price analysis, check to measure Designer Brands' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Designer Brands is operating at the current time. Most of Designer Brands' value examination focuses on studying past and present price action to predict the probability of Designer Brands' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Designer Brands' price. Additionally, you may evaluate how the addition of Designer Brands to your portfolios can decrease your overall portfolio volatility.
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