AutoZone Stock Forecast - Simple Regression
| AZ5 Stock | EUR 3,117 26.00 0.83% |
The Simple Regression forecasted value of AutoZone on the next trading day is expected to be 2,910 with a mean absolute deviation of 132.54 and the sum of the absolute errors of 8,085. AutoZone Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of AutoZone's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 25th of January 2026 the value of rsi of AutoZone'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 |
Using AutoZone hype-based prediction, you can estimate the value of AutoZone from the perspective of AutoZone response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of AutoZone on the next trading day is expected to be 2,910 with a mean absolute deviation of 132.54 and the sum of the absolute errors of 8,085. AutoZone after-hype prediction price | EUR 3117.0 |
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.
AutoZone |
AutoZone Additional Predictive Modules
Most predictive techniques to examine AutoZone price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for AutoZone using various technical indicators. When you analyze AutoZone 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 |
AutoZone Simple Regression Price Forecast For the 26th of January
Given 90 days horizon, the Simple Regression forecasted value of AutoZone on the next trading day is expected to be 2,910 with a mean absolute deviation of 132.54, mean absolute percentage error of 22,550, and the sum of the absolute errors of 8,085.Please note that although there have been many attempts to predict AutoZone 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 AutoZone's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
AutoZone Stock Forecast Pattern
| Backtest AutoZone | AutoZone Price Prediction | Buy or Sell Advice |
AutoZone Forecasted Value
In the context of forecasting AutoZone'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. AutoZone's downside and upside margins for the forecasting period are 2,908 and 2,912, respectively. We have considered AutoZone'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 AutoZone stock data series using in forecasting. Note that when a statistical model is used to represent AutoZone 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 | 128.134 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 132.5364 |
| MAPE | Mean absolute percentage error | 0.0427 |
| SAE | Sum of the absolute errors | 8084.7222 |
Predictive Modules for AutoZone
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as AutoZone. 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.AutoZone After-Hype Price Prediction Density Analysis
As far as predicting the price of AutoZone 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 AutoZone 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 AutoZone, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
AutoZone Estimiated After-Hype Price Volatility
In the context of predicting AutoZone's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on AutoZone's historical news coverage. AutoZone's after-hype downside and upside margins for the prediction period are 3,115 and 3,119, respectively. We have considered AutoZone'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
AutoZone is very steady at this time. Analysis and calculation of next after-hype price of AutoZone is based on 3 months time horizon.
AutoZone Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as AutoZone is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading AutoZone 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 AutoZone, 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 |
0.07 | 1.74 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
3,117 | 3,117 | 0.00 |
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AutoZone Hype Timeline
AutoZone is presently traded for 3,117on Frankfurt Exchange of Germany. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. AutoZone is estimated 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 estimated to be very small, whereas the daily expected return is presently at -0.07%. %. The volatility of related hype on AutoZone is about 0.0%, with the expected price after the next announcement by competition of 3,117. About 94.0% of the company shares are held by institutions such as insurance companies. The company has Price/Earnings To Growth (PEG) ratio of 1.35. AutoZone recorded earning per share (EPS) of 109.13. The entity had not issued any dividends in recent years. Assuming the 90 days horizon the next estimated press release will be in 5 to 10 days. Check out Historical Fundamental Analysis of AutoZone to cross-verify your projections. For more detail on how to invest in AutoZone Stock please use our How to Invest in AutoZone guide.AutoZone Related Hype Analysis
Having access to credible news sources related to AutoZone's direct competition is more important than ever and may enhance your ability to predict AutoZone's future price movements. Getting to know how AutoZone'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 AutoZone may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 9FM | COVIVIO HOTELS INH | 0.00 | 0 per month | 0.00 | (0.14) | 3.54 | (3.46) | 10.21 | |
| 0XHR | Xenia Hotels Resorts | 0.00 | 0 per month | 1.66 | 0.11 | 3.48 | (3.15) | 9.38 | |
| M3V | MeVis Medical Solutions | 0.00 | 0 per month | 1.08 | (0.0008) | 2.44 | (1.64) | 16.06 | |
| HMT | Host Hotels Resorts | 0.00 | 0 per month | 1.56 | 0.09 | 4.14 | (3.36) | 11.40 | |
| MM3 | Merit Medical Systems | 0.00 | 0 per month | 1.79 | (0.03) | 3.42 | (2.82) | 17.04 | |
| MEL | MELIA HOTELS | 0.00 | 0 per month | 1.53 | 0.01 | 2.95 | (2.84) | 7.94 | |
| UF2 | Sunstone Hotel Investors | 0.00 | 0 per month | 0.00 | (0.05) | 2.60 | (2.57) | 9.30 |
Other Forecasting Options for AutoZone
For every potential investor in AutoZone, whether a beginner or expert, AutoZone's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. AutoZone Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in AutoZone. Basic forecasting techniques help filter out the noise by identifying AutoZone's price trends.AutoZone 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 AutoZone stock to make a market-neutral strategy. Peer analysis of AutoZone could also be used in its relative valuation, which is a method of valuing AutoZone by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
AutoZone Market Strength Events
Market strength indicators help investors to evaluate how AutoZone stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading AutoZone shares will generate the highest return on investment. By undertsting and applying AutoZone stock market strength indicators, traders can identify AutoZone entry and exit signals to maximize returns.
| Accumulation Distribution | 0.0042 | |||
| Daily Balance Of Power | (2.00) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 3123.5 | |||
| Day Typical Price | 3121.33 | |||
| Market Facilitation Index | 13.0 | |||
| Price Action Indicator | (19.50) | |||
| Period Momentum Indicator | (26.00) |
AutoZone Risk Indicators
The analysis of AutoZone'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 AutoZone's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting autozone 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 | 1.24 | |||
| Standard Deviation | 1.74 | |||
| Variance | 3.03 |
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 AutoZone
The number of cover stories for AutoZone depends on current market conditions and AutoZone's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that AutoZone 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 AutoZone'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 Information and Resources on Investing in AutoZone Stock
When determining whether AutoZone offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of AutoZone's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Autozone Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Autozone Stock:Check out Historical Fundamental Analysis of AutoZone to cross-verify your projections. For more detail on how to invest in AutoZone Stock please use our How to Invest in AutoZone guide.You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.