Strauss Pink Sheet Forward View - Polynomial Regression
| SGLJFDelisted Stock | USD 15.04 0.00 0.00% |
Strauss Pink Sheet outlook is based on your current time horizon. We recommend always using this module together with an analysis of Strauss' historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 31st of January 2026 the relative strength index (rsi) of Strauss' share price is below 20 . This usually implies that the pink sheet is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Strauss hype-based prediction, you can estimate the value of Strauss Group from the perspective of Strauss response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Strauss Group on the next trading day is expected to be 15.04 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. Strauss after-hype prediction price | USD 15.04 |
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Strauss |
Strauss Additional Predictive Modules
Most predictive techniques to examine Strauss price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Strauss using various technical indicators. When you analyze Strauss 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 |
Strauss Polynomial Regression Price Forecast For the 1st of February
Given 90 days horizon, the Polynomial Regression forecasted value of Strauss Group on the next trading day is expected to be 15.04 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.Please note that although there have been many attempts to predict Strauss Pink Sheet 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 Strauss' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Strauss Pink Sheet Forecast Pattern
| Backtest Strauss | Strauss Price Prediction | Buy or Sell Advice |
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Strauss pink sheet data series using in forecasting. Note that when a statistical model is used to represent Strauss pink sheet, 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 | 57.2844 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 0.0 |
| SAE | Sum of the absolute errors | 0.0 |
Predictive Modules for Strauss
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Strauss Group. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.Strauss After-Hype Price Density Analysis
As far as predicting the price of Strauss 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 Strauss 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 Pink Sheet prices, such as prices of Strauss, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Strauss Estimiated After-Hype Price Volatility
In the context of predicting Strauss' pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Strauss' historical news coverage. Strauss' after-hype downside and upside margins for the prediction period are 15.04 and 15.04, respectively. We have considered Strauss' 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
Strauss is very steady at this time. Analysis and calculation of next after-hype price of Strauss Group is based on 3 months time horizon.
Strauss Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Strauss is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Strauss 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 Pink Sheet 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 Strauss, 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 |
0.00 | 0.00 | 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 | |
15.04 | 15.04 | 0.00 |
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Strauss Hype Timeline
Strauss Group is at this time traded for 15.04. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Strauss 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 insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at 0.0%. %. The volatility of related hype on Strauss is about 0.0%, with the expected price after the next announcement by competition of 15.04. About 57.0% of the company outstanding shares are owned by corporate insiders. The book value of Strauss was at this time reported as 3.62. The company last dividend was issued on the 29th of March 2022. Assuming the 90 days horizon the next forecasted 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 company could be closely tied with the direction of predictive economic indicators such as signals in bureau of economic analysis.Strauss Related Hype Analysis
Having access to credible news sources related to Strauss' direct competition is more important than ever and may enhance your ability to predict Strauss' future price movements. Getting to know how Strauss' 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 Strauss may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| UVRBF | Universal Robina | 0.00 | 0 per month | 0.00 | (0.20) | 0.00 | 0.00 | 6.83 | |
| CLBEY | Calbee Inc | 0.00 | 0 per month | 2.53 | (0) | 5.41 | (3.73) | 15.30 | |
| MLFNF | Maple Leaf Foods | 0.00 | 0 per month | 0.00 | (0.06) | 3.14 | (3.13) | 6.99 | |
| PRRFY | Premier Foods Plc | 0.00 | 0 per month | 2.56 | 0.02 | 7.24 | (6.77) | 19.87 | |
| SUEZY | Suedzucker AG ADR | 0.00 | 0 per month | 0.00 | (0.11) | 0.00 | 0.00 | 5.92 | |
| FSRCY | First Resources | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| NISUY | Nippon Suisan Kaisha | 0.00 | 0 per month | 0.00 | 0.11 | 0.00 | 0.00 | 77.68 | |
| TBLMF | Tiger Brands Limited | 0.00 | 0 per month | 2.89 | 0.34 | 11.60 | (5.98) | 17.13 | |
| ITOEF | Ito En | 0.00 | 0 per month | 0.00 | (0.07) | 0.00 | (2.38) | 8.25 | |
| LYSFY | Leroy Seafood Group | 0.00 | 0 per month | 0.00 | (0.03) | 0.00 | 0.00 | 9.35 |
Strauss 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 Strauss pink sheet to make a market-neutral strategy. Peer analysis of Strauss could also be used in its relative valuation, which is a method of valuing Strauss by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Strauss Market Strength Events
Market strength indicators help investors to evaluate how Strauss pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Strauss shares will generate the highest return on investment. By undertsting and applying Strauss pink sheet market strength indicators, traders can identify Strauss Group entry and exit signals to maximize returns.
Story Coverage note for Strauss
The number of cover stories for Strauss depends on current market conditions and Strauss' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Strauss 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 Strauss' 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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Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in bureau of economic analysis. You can also try the Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Other Consideration for investing in Strauss Pink Sheet
If you are still planning to invest in Strauss Group check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Strauss' history and understand the potential risks before investing.
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