Online Brands Stock Forward View - Simple Regression
| OBAB Stock | SEK 14.50 1.40 8.81% |
Online Stock outlook is based on your current time horizon.
At this time, The value of RSI of Online Brands' share price is at 52. This indicates that the stock is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Online Brands, making its price go up or down. Momentum 52
Impartial
Oversold | Overbought |
Using Online Brands hype-based prediction, you can estimate the value of Online Brands Nordic from the perspective of Online Brands response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Online Brands Nordic on the next trading day is expected to be 17.71 with a mean absolute deviation of 0.97 and the sum of the absolute errors of 59.13. Online Brands after-hype prediction price | SEK 15.9 |
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.
Online |
Online Brands Additional Predictive Modules
Most predictive techniques to examine Online price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Online using various technical indicators. When you analyze Online 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 |
Online Brands Simple Regression Price Forecast For the 21st of February
Given 90 days horizon, the Simple Regression forecasted value of Online Brands Nordic on the next trading day is expected to be 17.71 with a mean absolute deviation of 0.97, mean absolute percentage error of 1.21, and the sum of the absolute errors of 59.13.Please note that although there have been many attempts to predict Online 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 Online Brands' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Online Brands Stock Forecast Pattern
| Backtest Online Brands | Online Brands Price Prediction | Research Analysis |
Online Brands Forecasted Value
In the context of forecasting Online 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. Online Brands' downside and upside margins for the forecasting period are 14.41 and 21.02, respectively. We have considered Online 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 Online Brands stock data series using in forecasting. Note that when a statistical model is used to represent Online 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 | 118.299 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.9693 |
| MAPE | Mean absolute percentage error | 0.059 |
| SAE | Sum of the absolute errors | 59.1285 |
Predictive Modules for Online 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 Online Brands Nordic. 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.Online Brands After-Hype Price Density Analysis
As far as predicting the price of Online 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 Online 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 Online Brands, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Online Brands Estimiated After-Hype Price Volatility
In the context of predicting Online Brands' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Online Brands' historical news coverage. Online Brands' after-hype downside and upside margins for the prediction period are 12.79 and 19.01, respectively. We have considered Online 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
Online Brands is not too volatile at this time. Analysis and calculation of next after-hype price of Online Brands Nordic is based on 3 months time horizon.
Online Brands Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Online Brands is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Online 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 Online 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 |
0.13 | 3.30 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Uncertain |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
14.50 | 15.90 | 0.00 |
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Online Brands Hype Timeline
Online Brands Nordic is now traded for 14.50on Stockholm Exchange of Sweden. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Online is anticipated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is anticipated to be very small, whereas the daily expected return is now at 0.13%. %. The volatility of related hype on Online Brands is about 0.0%, with the expected price after the next announcement by competition of 14.50. About 59.0% of the company outstanding shares are owned by corporate insiders. The company last dividend was issued on the 26th of April 2012. Online Brands Nordic had 1:100 split on the 10th of December 2021. Assuming the 90 days trading horizon the next anticipated press release will be uncertain. Check out Historical Fundamental Analysis of Online Brands to cross-verify your projections.Online Brands Related Hype Analysis
Having access to credible news sources related to Online Brands' direct competition is more important than ever and may enhance your ability to predict Online Brands' future price movements. Getting to know how Online 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 Online Brands may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| ELON | Elon AB | 0.00 | 0 per month | 1.85 | 0.04 | 4.35 | (3.09) | 15.61 | |
| UTG | Unlimited Travel Group | 0.00 | 0 per month | 2.12 | 0.03 | 4.80 | (4.02) | 15.39 | |
| LAMM-B | Lammhults Design Group | 0.00 | 0 per month | 0.00 | (0.12) | 3.15 | (3.88) | 12.97 | |
| OXE | OXE Marine AB | 0.00 | 0 per month | 0.00 | (0.05) | 6.45 | (6.82) | 35.08 | |
| DSNO | Desenio Group AB | 0.00 | 0 per month | 0.00 | (0.07) | 10.19 | (12.25) | 29.17 | |
| BBROOM | New Bubbleroom Sweden | 0.00 | 0 per month | 2.50 | 0.03 | 3.85 | (3.32) | 19.11 | |
| SODER | Soder Sportfiske AB | 0.00 | 0 per month | 2.41 | 0.01 | 4.90 | (3.65) | 12.41 | |
| BUY | Sweden BuyersClub AB | 0.00 | 0 per month | 2.71 | 0.07 | 6.50 | (4.85) | 18.84 | |
| ACROUD | Acroud AB | 0.00 | 0 per month | 2.85 | 0.01 | 7.69 | (6.67) | 26.79 |
Other Forecasting Options for Online Brands
For every potential investor in Online, whether a beginner or expert, Online Brands' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Online Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Online. Basic forecasting techniques help filter out the noise by identifying Online Brands' price trends.Online 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 Online Brands stock to make a market-neutral strategy. Peer analysis of Online Brands could also be used in its relative valuation, which is a method of valuing Online Brands by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Online Brands Market Strength Events
Market strength indicators help investors to evaluate how Online 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 Online Brands shares will generate the highest return on investment. By undertsting and applying Online Brands stock market strength indicators, traders can identify Online Brands Nordic entry and exit signals to maximize returns.
| Accumulation Distribution | 2547.46 | |||
| Daily Balance Of Power | (0.90) | |||
| Rate Of Daily Change | 0.91 | |||
| Day Median Price | 14.83 | |||
| Day Typical Price | 14.72 | |||
| Market Facilitation Index | 1.0E-4 | |||
| Price Action Indicator | (1.03) | |||
| Period Momentum Indicator | (1.40) | |||
| Relative Strength Index | 52.16 |
Online Brands Risk Indicators
The analysis of Online 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 Online Brands' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting online 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 | 2.54 | |||
| Semi Deviation | 2.47 | |||
| Standard Deviation | 3.73 | |||
| Variance | 13.88 | |||
| Downside Variance | 7.89 | |||
| Semi Variance | 6.1 | |||
| Expected Short fall | (3.16) |
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 Online Brands
The number of cover stories for Online Brands depends on current market conditions and Online Brands' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Online 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 Online 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
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Online Brands Short Properties
Online Brands' future price predictability will typically decrease when Online Brands' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Online Brands Nordic often depends not only on the future outlook of the potential Online 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. Online Brands' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 749.6 K | |
| Cash And Short Term Investments | 66.2 M |
Additional Tools for Online Stock Analysis
When running Online Brands' price analysis, check to measure Online 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 Online Brands is operating at the current time. Most of Online Brands' value examination focuses on studying past and present price action to predict the probability of Online Brands' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Online Brands' price. Additionally, you may evaluate how the addition of Online Brands to your portfolios can decrease your overall portfolio volatility.