Thule Group Pink Sheet Forecast - Simple Moving Average

THUPY Stock  USD 12.10  0.49  3.89%   
The Simple Moving Average forecasted value of Thule Group AB on the next trading day is expected to be 12.10 with a mean absolute deviation of 0.21 and the sum of the absolute errors of 12.49. Thule Pink Sheet Forecast is based on your current time horizon.
At this time, the relative strength index (RSI) of Thule Group's share price is approaching 44. This usually implies that the pink sheet 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 Thule Group, making its price go up or down.

Momentum 44

 Sell Extended

 
Oversold
 
Overbought
The successful prediction of Thule Group's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Thule Group AB, which may create opportunities for some arbitrage if properly timed.
Using Thule Group hype-based prediction, you can estimate the value of Thule Group AB from the perspective of Thule Group response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Moving Average forecasted value of Thule Group AB on the next trading day is expected to be 12.10 with a mean absolute deviation of 0.21 and the sum of the absolute errors of 12.49.

Thule Group after-hype prediction price

    
  USD 12.1  
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 Historical Fundamental Analysis of Thule Group to cross-verify your projections.

Thule Group Additional Predictive Modules

Most predictive techniques to examine Thule price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Thule using various technical indicators. When you analyze Thule 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 two period moving average forecast for Thule Group is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Thule Group Simple Moving Average Price Forecast For the 24th of January

Given 90 days horizon, the Simple Moving Average forecasted value of Thule Group AB on the next trading day is expected to be 12.10 with a mean absolute deviation of 0.21, mean absolute percentage error of 0.09, and the sum of the absolute errors of 12.49.
Please note that although there have been many attempts to predict Thule 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 Thule Group's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Thule Group Pink Sheet Forecast Pattern

Backtest Thule GroupThule Group Price PredictionBuy or Sell Advice 

Thule Group Forecasted Value

In the context of forecasting Thule Group's Pink Sheet 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. Thule Group's downside and upside margins for the forecasting period are 9.70 and 14.50, respectively. We have considered Thule Group'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
12.10
12.10
Expected Value
14.50
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Thule Group pink sheet data series using in forecasting. Note that when a statistical model is used to represent Thule Group 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 Criteria112.0281
BiasArithmetic mean of the errors 0.0302
MADMean absolute deviation0.2117
MAPEMean absolute percentage error0.0167
SAESum of the absolute errors12.49
The simple moving average model is conceptually a linear regression of the current value of Thule Group AB price series against current and previous (unobserved) value of Thule Group. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for Thule Group

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Thule Group AB. 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
9.6112.1014.59
Details
Intrinsic
Valuation
LowRealHigh
7.9010.3912.88
Details
Bollinger
Band Projection (param)
LowMiddleHigh
11.6712.3513.04
Details

Thule Group After-Hype Price Prediction Density Analysis

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

Thule Group Estimiated After-Hype Price Volatility

In the context of predicting Thule Group's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Thule Group's historical news coverage. Thule Group's after-hype downside and upside margins for the prediction period are 9.61 and 14.59, respectively. We have considered Thule Group'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
12.10
12.10
After-hype Price
14.59
Upside
Thule Group is not too volatile at this time. Analysis and calculation of next after-hype price of Thule Group AB is based on 3 months time horizon.

Thule Group Pink Sheet Price Prediction Analysis

Have you ever been surprised when a price of a Company such as Thule Group is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Thule Group 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 Thule Group, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.16 
2.40
 0.00  
 0.00  
0 Events / Month
0 Events / Month
Within a week
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
12.10
12.10
0.00 
0.00  
Notes

Thule Group Hype Timeline

Thule Group AB is at this time traded for 12.10. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Thule is projected 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 projected to be very small, whereas the daily expected return is at this time at -0.16%. %. The volatility of related hype on Thule Group is about 0.0%, with the expected price after the next announcement by competition of 12.10. The company last dividend was issued on the 5th of October 2022. Assuming the 90 days horizon the next projected press release will be within a week.
Check out Historical Fundamental Analysis of Thule Group to cross-verify your projections.

Thule Group Related Hype Analysis

Having access to credible news sources related to Thule Group's direct competition is more important than ever and may enhance your ability to predict Thule Group's future price movements. Getting to know how Thule Group'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 Thule Group 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
LNNGYLi Ning Co 0.00 0 per month 1.53  0.12  4.34 (2.28) 14.88 
LNNGFLi Ning Company 0.00 0 per month 0.00  0.01  0.00 (4.17) 34.10 
MDNDFMcDonalds Holdings 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
USSJFUSS Co 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
HNORYHarvey Norman Holdings 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
LFDJFLa Franaise des 0.00 0 per month 0.00 (0.20) 0.93 (2.32) 7.36 
GMWKFGames Workshop Group 0.00 0 per month 2.04  0.09  4.94 (3.34) 17.22 
YORUYYokohama Rubber Co 0.00 0 per month 0.00  0.10  0.00  0.00  40.38 
BKGFYBerkeley Group Holdings 0.00 0 per month 1.97 (0.03) 3.48 (3.07) 9.31 
TKSHFTakashimaya Company Limited 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 

Other Forecasting Options for Thule Group

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

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

Thule Group Market Strength Events

Market strength indicators help investors to evaluate how Thule Group 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 Thule Group shares will generate the highest return on investment. By undertsting and applying Thule Group pink sheet market strength indicators, traders can identify Thule Group AB entry and exit signals to maximize returns.

Thule Group Risk Indicators

The analysis of Thule Group'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 Thule Group's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting thule pink sheet 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 Thule Group

The number of cover stories for Thule Group depends on current market conditions and Thule Group's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Thule Group 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 Thule Group's 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

Thule Group Short Properties

Thule Group's future price predictability will typically decrease when Thule Group's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Thule Group AB often depends not only on the future outlook of the potential Thule Group'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. Thule Group's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding107.5 M
Cash And Short Term Investments149 M

Additional Tools for Thule Pink Sheet Analysis

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