SBMW OTC Stock Forecast - Naive Prediction
| SBMW Stock | 14.85 0.15 1.00% |
Momentum 71
Buy Stretched
Oversold | Overbought |
It is a matter of debate whether otc price prediction based on information in financial news can generate a strong buy or sell signal. We use our internally-built news screening methodology to estimate the value of SBMW based on different types of headlines from major news networks to social media. Using SBMW hype-based prediction, you can estimate the value of SBMW from the perspective of SBMW response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of SBMW on the next trading day is expected to be 14.99 with a mean absolute deviation of 0.12 and the sum of the absolute errors of 7.45. SBMW after-hype prediction price | USD 14.85 |
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 otc price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
SBMW |
SBMW Additional Predictive Modules
Most predictive techniques to examine SBMW price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for SBMW using various technical indicators. When you analyze SBMW 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 |
SBMW Naive Prediction Price Forecast For the 27th of January
Given 90 days horizon, the Naive Prediction forecasted value of SBMW on the next trading day is expected to be 14.99 with a mean absolute deviation of 0.12, mean absolute percentage error of 0.03, and the sum of the absolute errors of 7.45.Please note that although there have been many attempts to predict SBMW OTC 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 SBMW's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
SBMW OTC Stock Forecast Pattern
SBMW Forecasted Value
In the context of forecasting SBMW's OTC 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. SBMW's downside and upside margins for the forecasting period are 13.57 and 16.40, respectively. We have considered SBMW'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of SBMW otc stock data series using in forecasting. Note that when a statistical model is used to represent SBMW otc 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 | 114.4455 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1221 |
| MAPE | Mean absolute percentage error | 0.0091 |
| SAE | Sum of the absolute errors | 7.4473 |
Predictive Modules for SBMW
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SBMW. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc 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.SBMW Estimiated After-Hype Price Volatility
As far as predicting the price of SBMW 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 SBMW 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 OTC Stock prices, such as prices of SBMW, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
SBMW OTC Stock Price Outlook Analysis
Have you ever been surprised when a price of a OTC Stock such as SBMW is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading SBMW 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 OTC 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 SBMW, 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 |
0.29 | 1.42 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
14.85 | 14.85 | 0.00 |
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SBMW Hype Timeline
SBMW is at this time traded for 14.85. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. SBMW is expected 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 expected to be very small, whereas the daily expected return is at this time at 0.29%. %. The volatility of related hype on SBMW is about 0.0%, with the expected price after the next announcement by competition of 14.85. Given the investment horizon of 90 days the next expected press release will be within a week. Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any otc stock could be closely tied with the direction of predictive economic indicators such as various price indices.SBMW Related Hype Analysis
Having access to credible news sources related to SBMW's direct competition is more important than ever and may enhance your ability to predict SBMW's future price movements. Getting to know how SBMW'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 SBMW may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| ISUZF | Isuzu Motors Limited | 0.00 | 0 per month | 0.00 | 0.07 | 3.02 | 0.00 | 34.00 | |
| YADGF | Yadea Group Holdings | 0.00 | 0 per month | 0.00 | (0.05) | 0.00 | 0.00 | 103.10 | |
| ISUZY | Isuzu Motors | 0.00 | 0 per month | 1.24 | 0.16 | 4.79 | (2.99) | 12.05 | |
| NGKSY | NGK Spark Plug | 0.00 | 0 per month | 0.00 | 0.09 | 0.00 | 0.00 | 18.76 | |
| ZLNDY | ZALANDO SE ADR | 0.00 | 0 per month | 0.00 | (0.08) | 4.07 | (3.57) | 11.88 | |
| PLLIF | Pirelli C SpA | 0.00 | 0 per month | 0.73 | 0.03 | 2.06 | (1.80) | 13.74 | |
| BSDGF | Bosideng International Holdings | 0.00 | 0 per month | 3.37 | 0.03 | 7.94 | (6.45) | 20.66 | |
| GIGNY | Genting Singapore PLC | 0.00 | 0 per month | 0.00 | (0.03) | 2.51 | (5.89) | 33.26 | |
| IVCGF | Iveco Group | 0.00 | 0 per month | 0.71 | (0.02) | 1.20 | (0.84) | 4.24 |
Other Forecasting Options for SBMW
For every potential investor in SBMW, whether a beginner or expert, SBMW's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SBMW OTC Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SBMW. Basic forecasting techniques help filter out the noise by identifying SBMW's price trends.SBMW 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 SBMW otc stock to make a market-neutral strategy. Peer analysis of SBMW could also be used in its relative valuation, which is a method of valuing SBMW by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
SBMW Market Strength Events
Market strength indicators help investors to evaluate how SBMW otc stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SBMW shares will generate the highest return on investment. By undertsting and applying SBMW otc stock market strength indicators, traders can identify SBMW entry and exit signals to maximize returns.
SBMW Risk Indicators
The analysis of SBMW'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 SBMW's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sbmw otc 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 | 0.8265 | |||
| Semi Deviation | 0.6851 | |||
| Standard Deviation | 1.37 | |||
| Variance | 1.88 | |||
| Downside Variance | 4.56 | |||
| Semi Variance | 0.4694 | |||
| Expected Short fall | (1.87) |
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 SBMW
The number of cover stories for SBMW depends on current market conditions and SBMW's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that SBMW 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 SBMW's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Additional Tools for SBMW OTC Stock Analysis
When running SBMW's price analysis, check to measure SBMW'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 SBMW is operating at the current time. Most of SBMW's value examination focuses on studying past and present price action to predict the probability of SBMW's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SBMW's price. Additionally, you may evaluate how the addition of SBMW to your portfolios can decrease your overall portfolio volatility.