Strauss Pink Sheet Forecast - Naive Prediction

SGLJFDelisted Stock  USD 15.04  0.00  0.00%   
The Naive Prediction 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 Pink Sheet Forecast 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 20th 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
The successful prediction of Strauss' 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 Strauss and does not consider all of the tangible or intangible factors available from Strauss' fundamental data. We analyze noise-free headlines and recent hype associated with Strauss Group, which may create opportunities for some arbitrage if properly timed.
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 Naive Prediction 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.
  
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 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.
A naive forecasting model for Strauss is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Strauss Group value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Strauss Naive Prediction Price Forecast For the 21st of January

Given 90 days horizon, the Naive Prediction 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 StraussStrauss Price PredictionBuy or Sell Advice 

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 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.
AICAkaike Information Criteria55.0005
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
This model is not at all useful as a medium-long range forecasting tool of Strauss Group. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Strauss. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

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.
Hype
Prediction
LowEstimatedHigh
15.0415.0415.04
Details
Intrinsic
Valuation
LowRealHigh
12.7812.7816.54
Details

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.

Currently Active Assets on Macroaxis

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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.

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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