Digital Brands Stock Forecast - Simple Regression
| DBGI Stock | USD 7.57 0.82 9.77% |
The Simple Regression forecasted value of Digital Brands Group on the next trading day is expected to be 13.44 with a mean absolute deviation of 1.86 and the sum of the absolute errors of 115.63. Digital Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Digital Brands' historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 23rd of January 2026, the value of RSI of Digital Brands' share price is approaching 41 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 Digital Brands, making its price go up or down. Momentum 41
Sell Extended
Oversold | Overbought |
Quarterly Revenue Growth (0.32) |
Using Digital Brands hype-based prediction, you can estimate the value of Digital Brands Group from the perspective of Digital Brands response to recently generated media hype and the effects of current headlines on its competitors.
Digital Brands Group Hype to Price Pattern
Investor biases related to Digital Brands' public news can be used to forecast risks associated with an investment in Digital. The trend in average sentiment can be used to explain how an investor holding Digital can time the market purely based on public headlines and social activities around Digital Brands Group. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
The Simple Regression forecasted value of Digital Brands Group on the next trading day is expected to be 13.44 with a mean absolute deviation of 1.86 and the sum of the absolute errors of 115.63.
Digital Brands after-hype prediction price | USD 7.57 |
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 Digital Brands to cross-verify your projections. Digital Brands Additional Predictive Modules
Most predictive techniques to examine Digital price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Digital using various technical indicators. When you analyze Digital 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 |
Digital Brands Simple Regression Price Forecast For the 24th of January
Given 90 days horizon, the Simple Regression forecasted value of Digital Brands Group on the next trading day is expected to be 13.44 with a mean absolute deviation of 1.86, mean absolute percentage error of 5.78, and the sum of the absolute errors of 115.63.Please note that although there have been many attempts to predict Digital 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 Digital Brands' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Digital Brands Stock Forecast Pattern
| Backtest Digital Brands | Digital Brands Price Prediction | Buy or Sell Advice |
Digital Brands Forecasted Value
In the context of forecasting Digital 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. Digital Brands' downside and upside margins for the forecasting period are 4.77 and 22.11, respectively. We have considered Digital 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 Regression forecasting method's relative quality and the estimations of the prediction error of Digital Brands stock data series using in forecasting. Note that when a statistical model is used to represent Digital 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 | 121.7021 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.8649 |
| MAPE | Mean absolute percentage error | 0.1956 |
| SAE | Sum of the absolute errors | 115.6252 |
Predictive Modules for Digital 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 Digital Brands Group. 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.Digital Brands After-Hype Price Prediction Density Analysis
As far as predicting the price of Digital 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 Digital 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 Digital Brands, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Digital Brands Estimiated After-Hype Price Volatility
In the context of predicting Digital Brands' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Digital Brands' historical news coverage. Digital Brands' after-hype downside and upside margins for the prediction period are 0.38 and 16.18, respectively. We have considered Digital 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 outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Digital Brands is unstable at this time. Analysis and calculation of next after-hype price of Digital Brands Group is based on 3 months time horizon.
Digital Brands Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Digital Brands is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Digital 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 Digital 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 |
0.12 | 8.67 | 0.06 | 0.00 | 7 Events / Month | 0 Events / Month | In about 7 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
7.57 | 7.57 | 0.00 |
|
Digital Brands Hype Timeline
Digital Brands Group is currently traded for 7.57. The entity has historical hype elasticity of 0.06, and average elasticity to hype of competition of 0.0. Digital 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 0.12%. %. The volatility of related hype on Digital Brands is about 0.0%, with the expected price after the next announcement by competition of 7.57. The company recorded earning per share (EPS) of 108.88. Digital Brands Group had not issued any dividends in recent years. The entity had 1:50 split on the 13th of December 2024. Given the investment horizon of 90 days the next forecasted press release will be in about 7 days. Check out Historical Fundamental Analysis of Digital Brands to cross-verify your projections.Digital Brands Related Hype Analysis
Having access to credible news sources related to Digital Brands' direct competition is more important than ever and may enhance your ability to predict Digital Brands' future price movements. Getting to know how Digital 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 Digital Brands may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| TWRKF | TheWorkscouk Plc | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| ESPGY | Esprit Holdings | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| KICK | HPN Holdings | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| GMELF | GOME Retail Holdings | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| DPNEF | Daphne International Holdings | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| PKSGY | PARKSON Retail Group | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| GLHD | PSH Group Holding | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| ENMHF | ENM Holdings Limited | 0.00 | 0 per month | 0.00 | 0.1 | 0.00 | 0.00 | 75.00 | |
| NRDE | Nu Ride | 0.00 | 0 per month | 0.00 | (0.08) | 9.56 | (9.49) | 23.44 | |
| CNVAF | Cnova NV | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Other Forecasting Options for Digital Brands
For every potential investor in Digital, whether a beginner or expert, Digital Brands' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Digital Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Digital. Basic forecasting techniques help filter out the noise by identifying Digital Brands' price trends.Digital 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 Digital Brands stock to make a market-neutral strategy. Peer analysis of Digital Brands could also be used in its relative valuation, which is a method of valuing Digital Brands by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Digital Brands Market Strength Events
Market strength indicators help investors to evaluate how Digital 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 Digital Brands shares will generate the highest return on investment. By undertsting and applying Digital Brands stock market strength indicators, traders can identify Digital Brands Group entry and exit signals to maximize returns.
Digital Brands Risk Indicators
The analysis of Digital 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 Digital Brands' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting digital 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 | 6.26 | |||
| Semi Deviation | 8.63 | |||
| Standard Deviation | 8.44 | |||
| Variance | 71.28 | |||
| Downside Variance | 79.87 | |||
| Semi Variance | 74.48 | |||
| Expected Short fall | (6.12) |
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 Digital Brands
The number of cover stories for Digital Brands depends on current market conditions and Digital Brands' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Digital 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 Digital Brands' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
Story Categories
Currently Trending Categories
Digital Brands Short Properties
Digital Brands' future price predictability will typically decrease when Digital Brands' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Digital Brands Group often depends not only on the future outlook of the potential Digital 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. Digital Brands' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 170.9 K | |
| Cash And Short Term Investments | 164.4 K |
Check out Historical Fundamental Analysis of Digital Brands to cross-verify your projections. You can also try the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
Is Specialty Retail 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 Digital Brands. If investors know Digital 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 Digital Brands listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share 108.88 | Revenue Per Share | Quarterly Revenue Growth (0.32) | Return On Assets | Return On Equity |
The market value of Digital Brands Group is measured differently than its book value, which is the value of Digital that is recorded on the company's balance sheet. Investors also form their own opinion of Digital Brands' value that differs from its market value or its book value, called intrinsic value, which is Digital Brands' 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 Digital Brands' market value can be influenced by many factors that don't directly affect Digital Brands' 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 Digital Brands' value and its price as these two are different measures arrived at by different means. Investors typically determine if Digital Brands is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Digital 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.