MillerKnoll Stock Forward View - Simple Moving Average
| MLKN Stock | USD 20.34 0.00 0.00% |
MillerKnoll Stock outlook is based on your current time horizon. Although MillerKnoll's naive historical forecasting may sometimes provide an important future outlook for the firm, we suggest always cross-verifying it against solid analysis of MillerKnoll's systematic risk associated with finding meaningful patterns of MillerKnoll fundamentals over time.
The relative strength index (RSI) of MillerKnoll's stock price is about 64. This indicates that the stock is rather overbought by investors as of today. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling MillerKnoll, making its price go up or down. Momentum 64
Buy Extended
Oversold | Overbought |
Quarterly Earnings Growth (0.29) | EPS Estimate Current Year 1.9 | EPS Estimate Next Year 2.2367 | Wall Street Target Price 32 | EPS Estimate Current Quarter 0.4 |
Using MillerKnoll hype-based prediction, you can estimate the value of MillerKnoll from the perspective of MillerKnoll response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards MillerKnoll using MillerKnoll's stock options and short interest. It helps to benchmark the overall future attitude of investors towards MillerKnoll using crowd psychology based on the activity and movement of MillerKnoll's stock price.
MillerKnoll Short Interest
An investor who is long MillerKnoll may also wish to track short interest. As short interest increases, investors should be becoming more worried about MillerKnoll and may potentially protect profits, hedge MillerKnoll with its derivative instruments, or be ready for some potential downside.
200 Day MA 18.0451 | Short Percent 0.0363 | Short Ratio 2.33 | Shares Short Prior Month 1.8 M | 50 Day MA 17.6488 |
MillerKnoll Relative Strength Index
The Simple Moving Average forecasted value of MillerKnoll on the next trading day is expected to be 20.34 with a mean absolute deviation of 0.34 and the sum of the absolute errors of 19.89.MillerKnoll Hype to Price Pattern
Investor biases related to MillerKnoll's public news can be used to forecast risks associated with an investment in MillerKnoll. The trend in average sentiment can be used to explain how an investor holding MillerKnoll can time the market purely based on public headlines and social activities around MillerKnoll. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of MillerKnoll's market sentiment to its price can help taders to make decisions based on the overall investors consensus about MillerKnoll.
MillerKnoll Implied Volatility | 1.24 |
MillerKnoll's implied volatility exposes the market's sentiment of MillerKnoll stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if MillerKnoll's 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 MillerKnoll stock will not fluctuate a lot when MillerKnoll's options are near their expiration.
The Simple Moving Average forecasted value of MillerKnoll on the next trading day is expected to be 20.34 with a mean absolute deviation of 0.34 and the sum of the absolute errors of 19.89. MillerKnoll after-hype prediction price | USD 20.44 |
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.
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Prediction based on Rule 16 of the current MillerKnoll contract
Based on the Rule 16, the options market is currently suggesting that MillerKnoll will have an average daily up or down price movement of about 0.0775% per day over the life of the 2026-03-20 option contract. With MillerKnoll trading at USD 20.34, that is roughly USD 0.0158 . If you think that the market is fully incorporating MillerKnoll's daily price movement you should consider acquiring MillerKnoll options at the current volatility level of 1.24%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Open Interest Against 2026-03-20 MillerKnoll Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast MillerKnoll's 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 MillerKnoll's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for MillerKnoll 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 MillerKnoll's open interest, investors have to compare it to MillerKnoll's 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 MillerKnoll 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 MillerKnoll. 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.
MillerKnoll Additional Predictive Modules
Most predictive techniques to examine MillerKnoll price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for MillerKnoll using various technical indicators. When you analyze MillerKnoll 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 |
MillerKnoll Simple Moving Average Price Forecast For the 3rd of February
Given 90 days horizon, the Simple Moving Average forecasted value of MillerKnoll on the next trading day is expected to be 20.34 with a mean absolute deviation of 0.34, mean absolute percentage error of 0.22, and the sum of the absolute errors of 19.89.Please note that although there have been many attempts to predict MillerKnoll 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 MillerKnoll's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
MillerKnoll Stock Forecast Pattern
| Backtest MillerKnoll | MillerKnoll Price Prediction | Research Analysis |
MillerKnoll Forecasted Value
In the context of forecasting MillerKnoll'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. MillerKnoll's downside and upside margins for the forecasting period are 17.92 and 22.75, respectively. We have considered MillerKnoll'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 Moving Average forecasting method's relative quality and the estimations of the prediction error of MillerKnoll stock data series using in forecasting. Note that when a statistical model is used to represent MillerKnoll 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 | 112.9278 |
| Bias | Arithmetic mean of the errors | -0.1445 |
| MAD | Mean absolute deviation | 0.3371 |
| MAPE | Mean absolute percentage error | 0.0197 |
| SAE | Sum of the absolute errors | 19.8875 |
Predictive Modules for MillerKnoll
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as MillerKnoll. 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.MillerKnoll After-Hype Price Density Analysis
As far as predicting the price of MillerKnoll 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 MillerKnoll 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 MillerKnoll, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
MillerKnoll Estimiated After-Hype Price Volatility
In the context of predicting MillerKnoll's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on MillerKnoll's historical news coverage. MillerKnoll's after-hype downside and upside margins for the prediction period are 18.03 and 22.85, respectively. We have considered MillerKnoll'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
MillerKnoll is very steady at this time. Analysis and calculation of next after-hype price of MillerKnoll is based on 3 months time horizon.
MillerKnoll Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as MillerKnoll is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading MillerKnoll 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 MillerKnoll, 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 |
0.50 | 2.41 | 0.10 | 0.76 | 9 Events / Month | 7 Events / Month | In about 9 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
20.34 | 20.44 | 0.49 |
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MillerKnoll Hype Timeline
MillerKnoll is now traded for 20.34. The entity has historical hype elasticity of 0.1, and average elasticity to hype of competition of 0.76. MillerKnoll is forecasted to increase in value after the next headline, with the price projected to jump to 20.44 or above. The average volatility of media hype impact on the company the price is over 100%. The price boost on the next news is projected to be 0.49%, whereas the daily expected return is now at 0.5%. The volatility of related hype on MillerKnoll is about 158.76%, with the expected price after the next announcement by competition of 21.10. The company reported the previous year's revenue of 3.67 B. Net Loss for the year was (36.9 M) with profit before overhead, payroll, taxes, and interest of 1.45 B. Given the investment horizon of 90 days the next forecasted press release will be in about 9 days. Check out Historical Fundamental Analysis of MillerKnoll to cross-verify your projections.MillerKnoll Related Hype Analysis
Having access to credible news sources related to MillerKnoll's direct competition is more important than ever and may enhance your ability to predict MillerKnoll's future price movements. Getting to know how MillerKnoll'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 MillerKnoll may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| LEG | Leggett Platt Incorporated | (0.05) | 9 per month | 1.91 | 0.11 | 5.34 | (3.35) | 20.61 | |
| LZB | La Z Boy Incorporated | 0.38 | 9 per month | 1.49 | 0.05 | 3.61 | (2.87) | 23.52 | |
| AMWD | American Woodmark | 0.30 | 7 per month | 0.00 | (0.04) | 5.26 | (3.82) | 15.81 | |
| CRI | Carters | (0.27) | 9 per month | 2.61 | 0.03 | 5.04 | (5.25) | 14.38 | |
| GIII | G III Apparel Group | (0.80) | 10 per month | 1.68 | 0.02 | 3.85 | (2.62) | 9.35 | |
| SES | SES AI Corp | (0.09) | 11 per month | 0.00 | (0.03) | 10.80 | (8.37) | 28.94 | |
| TDUP | ThredUp | (0.14) | 8 per month | 0.00 | (0.23) | 5.77 | (7.53) | 21.48 | |
| MLCO | Melco Resorts Entertainment | (0.04) | 7 per month | 0.00 | (0.22) | 3.07 | (3.66) | 13.15 | |
| BH | Biglari Holdings | 13.17 | 8 per month | 3.86 | 0.01 | 5.21 | (4.09) | 21.12 | |
| AEVA | Aeva Technologies Common | 2.72 | 9 per month | 0.00 | (0.02) | 16.00 | (10.24) | 48.05 |
Other Forecasting Options for MillerKnoll
For every potential investor in MillerKnoll, whether a beginner or expert, MillerKnoll's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. MillerKnoll Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in MillerKnoll. Basic forecasting techniques help filter out the noise by identifying MillerKnoll's price trends.MillerKnoll 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 MillerKnoll stock to make a market-neutral strategy. Peer analysis of MillerKnoll could also be used in its relative valuation, which is a method of valuing MillerKnoll by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
MillerKnoll Market Strength Events
Market strength indicators help investors to evaluate how MillerKnoll stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading MillerKnoll shares will generate the highest return on investment. By undertsting and applying MillerKnoll stock market strength indicators, traders can identify MillerKnoll entry and exit signals to maximize returns.
| Accumulation Distribution | 0.0521 | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 19.81 | |||
| Day Typical Price | 19.99 | |||
| Market Facilitation Index | 1.06 | |||
| Price Action Indicator | 0.53 | |||
| Relative Strength Index | 64.91 |
MillerKnoll Risk Indicators
The analysis of MillerKnoll'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 MillerKnoll's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting millerknoll 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 | 1.69 | |||
| Semi Deviation | 2.05 | |||
| Standard Deviation | 2.48 | |||
| Variance | 6.16 | |||
| Downside Variance | 5.66 | |||
| Semi Variance | 4.19 | |||
| Expected Short fall | (1.79) |
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 MillerKnoll
The number of cover stories for MillerKnoll depends on current market conditions and MillerKnoll's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that MillerKnoll 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 MillerKnoll'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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MillerKnoll Short Properties
MillerKnoll's future price predictability will typically decrease when MillerKnoll's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of MillerKnoll often depends not only on the future outlook of the potential MillerKnoll'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. MillerKnoll's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 69 M | |
| Cash And Short Term Investments | 193.7 M |
Check out Historical Fundamental Analysis of MillerKnoll to cross-verify your projections. To learn how to invest in MillerKnoll Stock, please use our How to Invest in MillerKnoll guide.You can also try the Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.
Will Commercial Services & Supplies sector continue expanding? Could MillerKnoll diversify its offerings? Factors like these will boost the valuation of MillerKnoll. Expected growth trajectory for MillerKnoll significantly influences the price investors are willing to assign. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every MillerKnoll data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth (0.29) | Dividend Share 0.75 | Earnings Share (0.37) | Revenue Per Share | Quarterly Revenue Growth (0.02) |
Investors evaluate MillerKnoll using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating MillerKnoll's intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. External factors like market trends, sector rotation, and investor psychology can cause MillerKnoll's market price to deviate significantly from intrinsic value.
Understanding that MillerKnoll's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether MillerKnoll represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. Conversely, MillerKnoll's market price signifies the transaction level at which participants voluntarily complete trades.