Miller Industries Stock Forecast - Polynomial Regression

MLR Stock  USD 40.51  0.01  0.02%   
Miller Stock outlook is based on your current time horizon. Although Miller Industries' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Miller Industries' systematic risk associated with finding meaningful patterns of Miller Industries fundamentals over time.
As of today, The relative strength index (RSI) of Miller Industries' share price is at 54. This indicates that the stock is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Miller Industries, making its price go up or down.

Momentum 54

 Impartial

 
Oversold
 
Overbought
The successful prediction of Miller Industries' 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 Miller Industries and does not consider all of the tangible or intangible factors available from Miller Industries' fundamental data. We analyze noise-free headlines and recent hype associated with Miller Industries, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting Miller Industries' stock price prediction:
Quarterly Earnings Growth
(0.80)
EPS Estimate Next Quarter
0.09
EPS Estimate Current Year
1.72
EPS Estimate Next Year
4.12
Wall Street Target Price
49
Using Miller Industries hype-based prediction, you can estimate the value of Miller Industries from the perspective of Miller Industries response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Miller Industries using Miller Industries' stock options and short interest. It helps to benchmark the overall future attitude of investors towards Miller using crowd psychology based on the activity and movement of Miller Industries' stock price.

Miller Industries Implied Volatility

    
  0.91  
Miller Industries' implied volatility exposes the market's sentiment of Miller Industries stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Miller Industries' implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Miller Industries stock will not fluctuate a lot when Miller Industries' options are near their expiration.
The Polynomial Regression forecasted value of Miller Industries on the next trading day is expected to be 41.02 with a mean absolute deviation of 0.60 and the sum of the absolute errors of 36.73.

Miller Industries after-hype prediction price

    
  USD 40.5  
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.
Check out Historical Fundamental Analysis of Miller Industries to cross-verify your projections.
To learn how to invest in Miller Stock, please use our How to Invest in Miller Industries guide.

Prediction based on Rule 16 of the current Miller contract

Based on the Rule 16, the options market is currently suggesting that Miller Industries will have an average daily up or down price movement of about 0.0569% per day over the life of the 2026-03-20 option contract. With Miller Industries trading at USD 40.51, that is roughly USD 0.023 . If you think that the market is fully incorporating Miller Industries' daily price movement you should consider acquiring Miller Industries options at the current volatility level of 0.91%. But if you have an opposite viewpoint you should avoid it and even consider selling them.

Open Interest Against 2026-03-20 Miller Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Miller Industries' spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Miller Industries' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Miller Industries stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Miller Industries' open interest, investors have to compare it to Miller Industries' spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Miller Industries is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Miller. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.

Miller Industries Additional Predictive Modules

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

Miller Industries Polynomial Regression Price Forecast For the 29th of January

Given 90 days horizon, the Polynomial Regression forecasted value of Miller Industries on the next trading day is expected to be 41.02 with a mean absolute deviation of 0.60, mean absolute percentage error of 0.60, and the sum of the absolute errors of 36.73.
Please note that although there have been many attempts to predict Miller 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 Miller Industries' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Miller Industries Stock Forecast Pattern

Backtest Miller Industries  Miller Industries Price Prediction  Buy or Sell Advice  

Miller Industries Forecasted Value

In the context of forecasting Miller Industries' 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. Miller Industries' downside and upside margins for the forecasting period are 39.31 and 42.73, respectively. We have considered Miller Industries' 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
40.51
41.02
Expected Value
42.73
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 Miller Industries stock data series using in forecasting. Note that when a statistical model is used to represent Miller Industries 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 Criteria117.6021
BiasArithmetic mean of the errors None
MADMean absolute deviation0.6022
MAPEMean absolute percentage error0.0158
SAESum of the absolute errors36.7328
A single variable polynomial regression model attempts to put a curve through the Miller Industries 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 Miller Industries

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Miller Industries. 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.
Hype
Prediction
LowEstimatedHigh
38.7940.5042.21
Details
Intrinsic
Valuation
LowRealHigh
36.4544.2245.93
Details
Bollinger
Band Projection (param)
LowMiddleHigh
36.7639.2841.80
Details
2 Analysts
Consensus
LowTargetHigh
44.5949.0054.39
Details

Miller Industries After-Hype Price Density Analysis

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

Miller Industries Estimiated After-Hype Price Volatility

In the context of predicting Miller Industries' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Miller Industries' historical news coverage. Miller Industries' after-hype downside and upside margins for the prediction period are 38.79 and 42.21, respectively. We have considered Miller Industries' 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
40.51
40.50
After-hype Price
42.21
Upside
Miller Industries is very steady at this time. Analysis and calculation of next after-hype price of Miller Industries is based on 3 months time horizon.

Miller Industries Stock Price Outlook Analysis

Have you ever been surprised when a price of a Company such as Miller Industries is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Miller Industries 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 Miller Industries, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.01 
1.71
 0.00  
 0.00  
10 Events / Month
7 Events / Month
In about 10 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
40.51
40.50
0.00 
684.00  
Notes

Miller Industries Hype Timeline

On the 28th of January Miller Industries is traded for 40.51. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Miller is expected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is expected to be very small, whereas the daily expected return is now at 0.01%. %. The volatility of related hype on Miller Industries is about 919.35%, with the expected price after the next announcement by competition of 40.51. About 96.0% of the company shares are owned by institutional investors. The company has price-to-book ratio of 1.1. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Miller Industries last dividend was issued on the 2nd of December 2025. The entity had 1:5 split on the 1st of October 2001. Considering the 90-day investment horizon the next expected press release will be in about 10 days.
Check out Historical Fundamental Analysis of Miller Industries to cross-verify your projections.
To learn how to invest in Miller Stock, please use our How to Invest in Miller Industries guide.

Miller Industries Related Hype Analysis

Having access to credible news sources related to Miller Industries' direct competition is more important than ever and may enhance your ability to predict Miller Industries' future price movements. Getting to know how Miller Industries' 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 Miller Industries 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
MNROMonro Muffler Brake 0.68 7 per month 3.40  0.04  5.20 (3.62) 20.48 
CPSCooper Stnd(0.60)12 per month 0.00 (0.07) 5.82 (5.11) 18.47 
HYLNHyliion Holdings Corp(0.08)8 per month 4.66  0.03  6.19 (7.17) 20.27 
KRTKarat Packaging 0.24 7 per month 0.00 (0.05) 3.23 (2.77) 12.60 
NATHNathans Famous(0.17)8 per month 0.00 (0.08) 3.17 (3.41) 9.78 
SCVLShoe Carnival 0.67 7 per month 2.97 (0.03) 4.98 (4.71) 11.78 
INVZInnoviz Technologies(0.04)8 per month 0.00 (0.17) 6.14 (7.48) 34.74 
PSNYPolestar Automotive Holding 1.03 9 per month 0.00 (0.05) 12.04 (14.88) 34.99 
HLLYHolley Inc(0.07)10 per month 1.85  0.11  5.51 (3.70) 38.65 
LEGHLegacy Housing Corp 0.20 9 per month 0.00 (0.12) 2.90 (3.99) 10.51 

Other Forecasting Options for Miller Industries

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

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

Miller Industries Market Strength Events

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

Miller Industries Risk Indicators

The analysis of Miller Industries' 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 Miller Industries' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting miller 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 Miller Industries

The number of cover stories for Miller Industries depends on current market conditions and Miller Industries' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Miller Industries 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 Miller Industries' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Miller Industries Short Properties

Miller Industries' future price predictability will typically decrease when Miller Industries' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Miller Industries often depends not only on the future outlook of the potential Miller Industries' 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. Miller Industries' indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding11.6 M
Cash And Short Term Investments24.3 M

Additional Tools for Miller Stock Analysis

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