SBDS Stock Forecast - Simple Regression

SBDS Stock   6.15  0.37  6.40%   
The Simple Regression forecasted value of SBDS on the next trading day is expected to be 4.63 with a mean absolute deviation of 1.11 and the sum of the absolute errors of 69.01. SBDS Stock Forecast is based on your current time horizon.
At this time, the relative strength index (RSI) of SBDS's share price is approaching 40. This usually implies 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 SBDS, making its price go up or down.

Momentum 40

 Sell Extended

 
Oversold
 
Overbought
The successful prediction of SBDS's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of SBDS and does not consider all of the tangible or intangible factors available from SBDS's fundamental data. We analyze noise-free headlines and recent hype associated with SBDS, which may create opportunities for some arbitrage if properly timed.
Using SBDS hype-based prediction, you can estimate the value of SBDS from the perspective of SBDS response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of SBDS on the next trading day is expected to be 4.63 with a mean absolute deviation of 1.11 and the sum of the absolute errors of 69.01.

SBDS after-hype prediction price

    
  USD 6.15  
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 SBDS to cross-verify your projections.
For more information on how to buy SBDS Stock please use our How to Invest in SBDS guide.

SBDS Additional Predictive Modules

Most predictive techniques to examine SBDS price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for SBDS using various technical indicators. When you analyze SBDS 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.
Simple Regression model is a single variable regression model that attempts to put a straight line through SBDS price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

SBDS Simple Regression Price Forecast For the 24th of January

Given 90 days horizon, the Simple Regression forecasted value of SBDS on the next trading day is expected to be 4.63 with a mean absolute deviation of 1.11, mean absolute percentage error of 1.79, and the sum of the absolute errors of 69.01.
Please note that although there have been many attempts to predict SBDS 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 SBDS's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SBDS Stock Forecast Pattern

Backtest SBDSSBDS Price PredictionBuy or Sell Advice 

SBDS Forecasted Value

In the context of forecasting SBDS'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. SBDS's downside and upside margins for the forecasting period are 0.06 and 14.02, respectively. We have considered SBDS'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
6.15
4.63
Expected Value
14.02
Upside

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 SBDS stock data series using in forecasting. Note that when a statistical model is used to represent SBDS 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 Criteria120.5296
BiasArithmetic mean of the errors None
MADMean absolute deviation1.1131
MAPEMean absolute percentage error0.1264
SAESum of the absolute errors69.0126
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as SBDS historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for SBDS

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SBDS. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SBDS's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
0.316.1515.46
Details
Intrinsic
Valuation
LowRealHigh
0.305.9015.21
Details

SBDS After-Hype Price Prediction Density Analysis

As far as predicting the price of SBDS 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 SBDS 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 SBDS, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

SBDS Estimiated After-Hype Price Volatility

In the context of predicting SBDS's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on SBDS's historical news coverage. SBDS's after-hype downside and upside margins for the prediction period are 0.31 and 15.46, respectively. We have considered SBDS'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 outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
6.15
6.15
After-hype Price
15.46
Upside
SBDS is very risky at this time. Analysis and calculation of next after-hype price of SBDS is based on 3 months time horizon.

SBDS Stock Price Prediction Analysis

Have you ever been surprised when a price of a Company such as SBDS is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading SBDS 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 SBDS, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.95 
9.39
  0.04 
  0.04 
3 Events / Month
2 Events / Month
In about 3 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
6.15
6.15
0.00 
23,475  
Notes

SBDS Hype Timeline

SBDS is at this time traded for 6.15. The entity has historical hype elasticity of 0.04, and average elasticity to hype of competition of 0.04. SBDS 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 at this time at -0.95%. %. The volatility of related hype on SBDS is about 23475.0%, with the expected price after the next announcement by competition of 6.19. The company had not issued any dividends in recent years. Given the investment horizon of 90 days the next forecasted press release will be in about 3 days.
Check out Historical Fundamental Analysis of SBDS to cross-verify your projections.
For more information on how to buy SBDS Stock please use our How to Invest in SBDS guide.

SBDS Related Hype Analysis

Having access to credible news sources related to SBDS's direct competition is more important than ever and may enhance your ability to predict SBDS's future price movements. Getting to know how SBDS'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 SBDS 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
SSUNFSIGNA Sports United 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
DBGIDigital Brands Group 0.49 7 per month 8.63  0.01  12.72 (12.56) 48.10 
TBHCThe Brand House(0.02)6 per month 0.00 (0.07) 5.13 (5.07) 16.01 
BFXXQBowFlex 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
CZOOCazoo Group 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
LLLL Flooring Holdings 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
HLBZHelbiz Inc 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
SOLOElectrameccanica Vehicles Corp 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
SEGGLottery(0.07)10 per month 0.00 (0.02) 21.43 (14.59) 71.32 
BOXDBoxed Inc 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 

Other Forecasting Options for SBDS

For every potential investor in SBDS, whether a beginner or expert, SBDS's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SBDS Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SBDS. Basic forecasting techniques help filter out the noise by identifying SBDS's price trends.

SBDS 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 SBDS stock to make a market-neutral strategy. Peer analysis of SBDS could also be used in its relative valuation, which is a method of valuing SBDS by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

SBDS Market Strength Events

Market strength indicators help investors to evaluate how SBDS stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SBDS shares will generate the highest return on investment. By undertsting and applying SBDS stock market strength indicators, traders can identify SBDS entry and exit signals to maximize returns.

SBDS Risk Indicators

The analysis of SBDS'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 SBDS's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sbds 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 SBDS

The number of cover stories for SBDS depends on current market conditions and SBDS's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that SBDS 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 SBDS's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

SBDS Short Properties

SBDS's future price predictability will typically decrease when SBDS's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of SBDS often depends not only on the future outlook of the potential SBDS's 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. SBDS's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding1.5 M
Cash And Short Term Investments12 M

Additional Tools for SBDS Stock Analysis

When running SBDS's price analysis, check to measure SBDS's 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 SBDS is operating at the current time. Most of SBDS's value examination focuses on studying past and present price action to predict the probability of SBDS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SBDS's price. Additionally, you may evaluate how the addition of SBDS to your portfolios can decrease your overall portfolio volatility.