Casella Waste Stock Forward View - Simple Regression
| WA3 Stock | EUR 81.48 4.40 5.12% |
Casella Stock outlook is based on your current time horizon. We suggest always using this module together with an analysis of Casella Waste's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 22nd of February 2026, the relative strength index (RSI) of Casella Waste's share price is approaching 47. This entails that the stock 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 Casella Waste, making its price go up or down. Momentum 47
Impartial
Oversold | Overbought |
Quarterly Earnings Growth 0.602 | Wall Street Target Price 76.83 | Quarterly Revenue Growth 0.179 |
Using Casella Waste hype-based prediction, you can estimate the value of Casella Waste Systems from the perspective of Casella Waste response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Casella Waste Systems on the next trading day is expected to be 88.33 with a mean absolute deviation of 1.45 and the sum of the absolute errors of 88.56. Casella Waste after-hype prediction price | EUR 81.5 |
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.
Casella |
Casella Waste Additional Predictive Modules
Most predictive techniques to examine Casella price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Casella using various technical indicators. When you analyze Casella 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 |
Casella Waste Simple Regression Price Forecast For the 23rd of February
Given 90 days horizon, the Simple Regression forecasted value of Casella Waste Systems on the next trading day is expected to be 88.33 with a mean absolute deviation of 1.45, mean absolute percentage error of 4.34, and the sum of the absolute errors of 88.56.Please note that although there have been many attempts to predict Casella 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 Casella Waste's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Casella Waste Stock Forecast Pattern
| Backtest Casella Waste | Casella Waste Price Prediction | Research Analysis |
Casella Waste Forecasted Value
In the context of forecasting Casella Waste'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. Casella Waste's downside and upside margins for the forecasting period are 86.57 and 90.09, respectively. We have considered Casella Waste'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Casella Waste stock data series using in forecasting. Note that when a statistical model is used to represent Casella Waste 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.| AIC | Akaike Information Criteria | 119.578 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.4519 |
| MAPE | Mean absolute percentage error | 0.0169 |
| SAE | Sum of the absolute errors | 88.565 |
Predictive Modules for Casella Waste
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Casella Waste Systems. 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.Casella Waste After-Hype Price Density Analysis
As far as predicting the price of Casella Waste 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 Casella Waste 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 Casella Waste, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Casella Waste Estimiated After-Hype Price Volatility
In the context of predicting Casella Waste's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Casella Waste's historical news coverage. Casella Waste's after-hype downside and upside margins for the prediction period are 79.74 and 83.26, respectively. We have considered Casella Waste'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
Casella Waste is very steady at this time. Analysis and calculation of next after-hype price of Casella Waste Systems is based on 3 months time horizon.
Casella Waste Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Casella Waste is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Casella Waste 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 Casella Waste, 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 |
0.01 | 1.76 | 0.02 | 0.00 | 8 Events / Month | 1 Events / Month | In about 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
81.48 | 81.50 | 0.02 |
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Casella Waste Hype Timeline
Casella Waste Systems is at this time traded for 81.48on Frankfurt Exchange of Germany. The entity has historical hype elasticity of 0.02, and average elasticity to hype of competition of 0.0. Casella is estimated to increase in value after the next headline, with the price projected to jump to 81.5 or above. The average volatility of media hype impact on the company the price is about 101.15%. The price rise on the next news is forecasted to be 0.02%, whereas the daily expected return is at this time at 0.01%. The volatility of related hype on Casella Waste is about 2514.29%, with the expected price after the next announcement by competition of 81.48. The company reported the revenue of 1.56 B. Net Income was 13.54 M with profit before overhead, payroll, taxes, and interest of 605.85 M. Assuming the 90 days horizon the next estimated press release will be in about 8 days. Check out Historical Fundamental Analysis of Casella Waste to cross-verify your projections.Casella Waste Related Hype Analysis
Having access to credible news sources related to Casella Waste's direct competition is more important than ever and may enhance your ability to predict Casella Waste's future price movements. Getting to know how Casella Waste'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 Casella Waste may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| ADX | ACANTHE DEVELOPPEM ON | 0.01 | 1 per month | 0.00 | (0.02) | 5.26 | (5.26) | 20.63 | |
| OD7B | ETFS Coffee ETC | 0.00 | 0 per month | 0.00 | (0.19) | 2.94 | (4.03) | 10.04 | |
| B4N2 | BENZIN ETC | 0.00 | 0 per month | 1.23 | (0.01) | 2.38 | (2.15) | 5.53 | |
| GLDA | Amundi Physical Gold | 0.27 | 3 per month | 1.57 | 0.13 | 2.67 | (2.47) | 9.68 | |
| RM8U | The Royal Mint | 0.13 | 1 per month | 1.60 | 0.10 | 2.66 | (2.36) | 10.32 | |
| HX1A | PT Hexindo Adiperkasa | 0.01 | 1 per month | 0.00 | (0.09) | 0.00 | (4.55) | 9.76 |
Other Forecasting Options for Casella Waste
For every potential investor in Casella, whether a beginner or expert, Casella Waste's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Casella Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Casella. Basic forecasting techniques help filter out the noise by identifying Casella Waste's price trends.Casella Waste 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 Casella Waste stock to make a market-neutral strategy. Peer analysis of Casella Waste could also be used in its relative valuation, which is a method of valuing Casella Waste by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Casella Waste Market Strength Events
Market strength indicators help investors to evaluate how Casella Waste stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Casella Waste shares will generate the highest return on investment. By undertsting and applying Casella Waste stock market strength indicators, traders can identify Casella Waste Systems entry and exit signals to maximize returns.
Casella Waste Risk Indicators
The analysis of Casella Waste'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 Casella Waste's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting casella 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.
| Mean Deviation | 1.31 | |||
| Semi Deviation | 1.54 | |||
| Standard Deviation | 1.74 | |||
| Variance | 3.04 | |||
| Downside Variance | 2.7 | |||
| Semi Variance | 2.36 | |||
| Expected Short fall | (1.51) |
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 Casella Waste
The number of cover stories for Casella Waste depends on current market conditions and Casella Waste's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Casella Waste 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 Casella Waste'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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Check out Historical Fundamental Analysis of Casella Waste to cross-verify your projections. You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.