Allegroeu Stock Forward View - Polynomial Regression

ALE Stock   29.89  0.55  1.87%   
Allegroeu Stock outlook is based on your current time horizon.
As of today the value of rsi of Allegroeu's share price is below 20 . This suggests 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 Allegroeu'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 Allegroeu and does not consider all of the tangible or intangible factors available from Allegroeu's fundamental data. We analyze noise-free headlines and recent hype associated with Allegroeu SA, which may create opportunities for some arbitrage if properly timed.
Using Allegroeu hype-based prediction, you can estimate the value of Allegroeu SA from the perspective of Allegroeu response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Allegroeu SA on the next trading day is expected to be 28.00 with a mean absolute deviation of 0.57 and the sum of the absolute errors of 35.12.

Allegroeu after-hype prediction price

    
  PLN 29.89  
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of Allegroeu to cross-verify your projections.

Allegroeu Additional Predictive Modules

Most predictive techniques to examine Allegroeu price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Allegroeu using various technical indicators. When you analyze Allegroeu 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.
Allegroeu polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Allegroeu SA as well as the accuracy indicators are determined from the period prices.

Allegroeu Polynomial Regression Price Forecast For the 14th of February 2026

Given 90 days horizon, the Polynomial Regression forecasted value of Allegroeu SA on the next trading day is expected to be 28.00 with a mean absolute deviation of 0.57, mean absolute percentage error of 0.49, and the sum of the absolute errors of 35.12.
Please note that although there have been many attempts to predict Allegroeu Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Allegroeu's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Allegroeu Stock Forecast Pattern

Backtest Allegroeu  Allegroeu Price Prediction  Research Analysis  

Allegroeu Forecasted Value

In the context of forecasting Allegroeu's 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. Allegroeu's downside and upside margins for the forecasting period are 26.38 and 29.61, respectively. We have considered Allegroeu'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
29.89
28.00
Expected Value
29.61
Upside

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 Allegroeu stock data series using in forecasting. Note that when a statistical model is used to represent Allegroeu 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 Criteria119.2418
BiasArithmetic mean of the errors None
MADMean absolute deviation0.5664
MAPEMean absolute percentage error0.0182
SAESum of the absolute errors35.1156
A single variable polynomial regression model attempts to put a curve through the Allegroeu historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Allegroeu

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Allegroeu SA. 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 Allegroeu'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
28.2829.8931.50
Details
Intrinsic
Valuation
LowRealHigh
29.2130.8232.43
Details

Allegroeu After-Hype Price Density Analysis

As far as predicting the price of Allegroeu 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 Allegroeu 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 Stock prices, such as prices of Allegroeu, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Allegroeu Estimiated After-Hype Price Volatility

In the context of predicting Allegroeu's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Allegroeu's historical news coverage. Allegroeu's after-hype downside and upside margins for the prediction period are 28.28 and 31.50, respectively. We have considered Allegroeu'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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
29.89
29.89
After-hype Price
31.50
Upside
Allegroeu is very steady at this time. Analysis and calculation of next after-hype price of Allegroeu SA is based on 3 months time horizon.

Allegroeu Stock Price Outlook Analysis

Have you ever been surprised when a price of a Company such as Allegroeu is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Allegroeu 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 Stock 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 Allegroeu, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.18 
1.61
 0.00  
 0.00  
0 Events / Month
0 Events / Month
In 5 to 10 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
29.89
29.89
0.00 
0.00  
Notes

Allegroeu Hype Timeline

Allegroeu SA is presently traded for 29.89on Warsaw Stock Exchange of Poland. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Allegroeu 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 presently at -0.18%. %. The volatility of related hype on Allegroeu is about 0.0%, with the expected price after the next announcement by competition of 29.89. About 33.0% of the company shares are held by company insiders. The book value of Allegroeu was presently reported as 8.39. The company had not issued any dividends in recent years. Assuming the 90 days trading horizon the next projected press release will be in 5 to 10 days.
Check out Historical Fundamental Analysis of Allegroeu to cross-verify your projections.

Allegroeu Related Hype Analysis

Having access to credible news sources related to Allegroeu's direct competition is more important than ever and may enhance your ability to predict Allegroeu's future price movements. Getting to know how Allegroeu'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 Allegroeu may potentially react to the hype associated with one of its peers.

Other Forecasting Options for Allegroeu

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

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

Allegroeu Market Strength Events

Market strength indicators help investors to evaluate how Allegroeu stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Allegroeu shares will generate the highest return on investment. By undertsting and applying Allegroeu stock market strength indicators, traders can identify Allegroeu SA entry and exit signals to maximize returns.

Allegroeu Risk Indicators

The analysis of Allegroeu'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 Allegroeu's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting allegroeu 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.
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 Allegroeu

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

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