Shyft Stock Forecast - Naive Prediction

SHYFDelisted Stock  USD 12.54  0.00  0.00%   
The Naive Prediction forecasted value of Shyft Group on the next trading day is expected to be 12.18 with a mean absolute deviation of 0.28 and the sum of the absolute errors of 16.81. Shyft Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Shyft's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 9th of January 2026 the value of rsi of Shyft's share price is below 20 . This usually implies that the stock 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 Shyft'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 Shyft and does not consider all of the tangible or intangible factors available from Shyft's fundamental data. We analyze noise-free headlines and recent hype associated with Shyft Group, which may create opportunities for some arbitrage if properly timed.
Using Shyft hype-based prediction, you can estimate the value of Shyft Group from the perspective of Shyft response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Shyft Group on the next trading day is expected to be 12.18 with a mean absolute deviation of 0.28 and the sum of the absolute errors of 16.81.

Shyft after-hype prediction price

    
  USD 12.54  
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 delisted stock 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 producer price index.

Shyft Additional Predictive Modules

Most predictive techniques to examine Shyft price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Shyft using various technical indicators. When you analyze Shyft 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 Shyft is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Shyft 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.

Shyft Naive Prediction Price Forecast For the 10th of January

Given 90 days horizon, the Naive Prediction forecasted value of Shyft Group on the next trading day is expected to be 12.18 with a mean absolute deviation of 0.28, mean absolute percentage error of 0.14, and the sum of the absolute errors of 16.81.
Please note that although there have been many attempts to predict Shyft 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 Shyft's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Shyft Stock Forecast Pattern

Backtest ShyftShyft 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 Shyft stock data series using in forecasting. Note that when a statistical model is used to represent Shyft 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 Criteria116.1411
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2756
MAPEMean absolute percentage error0.0297
SAESum of the absolute errors16.8096
This model is not at all useful as a medium-long range forecasting tool of Shyft 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 Shyft. 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 Shyft

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Shyft Group. 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 Shyft'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
12.5412.5412.54
Details
Intrinsic
Valuation
LowRealHigh
9.529.5213.79
Details
Bollinger
Band Projection (param)
LowMiddleHigh
8.9311.1513.36
Details

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

Shyft Market Strength Events

Market strength indicators help investors to evaluate how Shyft stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Shyft shares will generate the highest return on investment. By undertsting and applying Shyft stock market strength indicators, traders can identify Shyft 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 producer price index.
You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.

Other Consideration for investing in Shyft Stock

If you are still planning to invest in Shyft 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 Shyft's history and understand the potential risks before investing.
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