Deere Stock Forecast - Simple Moving Average
| DE Stock | USD 527.82 2.81 0.54% |
Deere Stock outlook is based on your current time horizon. Investors can use this forecasting interface to forecast Deere stock prices and determine the direction of Deere Company's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Deere's historical fundamentals, such as revenue growth or operating cash flow patterns.
The RSI of Deere's stock price is about 63 suggesting that the stock is rather overbought by investors at the present time. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Deere, making its price go up or down. Momentum 63
Buy Extended
Oversold | Overbought |
Quarterly Earnings Growth (0.14) | EPS Estimate Current Year 16.6616 | EPS Estimate Next Year 22.0936 | Wall Street Target Price 528.2609 | EPS Estimate Current Quarter 3.8341 |
Using Deere hype-based prediction, you can estimate the value of Deere Company from the perspective of Deere response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Deere using Deere's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Deere using crowd psychology based on the activity and movement of Deere's stock price.
Deere Short Interest
A significant increase or decrease in Deere's short interest from the previous month could be a good indicator of investor sentiment towards Deere. Short interest can provide insight into the potential direction of Deere stock and how bullish or bearish investors feel about the market overall.
200 Day MA 486.7545 | Short Percent 0.021 | Short Ratio 4.19 | Shares Short Prior Month 5.6 M | 50 Day MA 483.9252 |
Deere Relative Strength Index
The Simple Moving Average forecasted value of Deere Company on the next trading day is expected to be 526.41 with a mean absolute deviation of 6.53 and the sum of the absolute errors of 385.44.Deere Company Hype to Price Pattern
Investor biases related to Deere's public news can be used to forecast risks associated with an investment in Deere. The trend in average sentiment can be used to explain how an investor holding Deere can time the market purely based on public headlines and social activities around Deere Company. 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 Deere's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Deere.
Deere Implied Volatility | 0.47 |
Deere's implied volatility exposes the market's sentiment of Deere Company stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Deere'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 Deere stock will not fluctuate a lot when Deere's options are near their expiration.
The Simple Moving Average forecasted value of Deere Company on the next trading day is expected to be 526.41 with a mean absolute deviation of 6.53 and the sum of the absolute errors of 385.44. Deere after-hype prediction price | USD 535.87 |
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 Deere to cross-verify your projections. Prediction based on Rule 16 of the current Deere contract
Based on the Rule 16, the options market is currently suggesting that Deere Company will have an average daily up or down price movement of about 0.0294% per day over the life of the 2026-03-20 option contract. With Deere trading at USD 527.82, that is roughly USD 0.16 . If you think that the market is fully incorporating Deere's daily price movement you should consider acquiring Deere Company options at the current volatility level of 0.47%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Open Interest Against 2026-03-20 Deere Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Deere'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 Deere's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Deere 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 Deere's open interest, investors have to compare it to Deere'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 Deere 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 Deere. 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.
Deere Additional Predictive Modules
Most predictive techniques to examine Deere price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Deere using various technical indicators. When you analyze Deere 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 |
Deere Simple Moving Average Price Forecast For the 30th of January
Given 90 days horizon, the Simple Moving Average forecasted value of Deere Company on the next trading day is expected to be 526.41 with a mean absolute deviation of 6.53, mean absolute percentage error of 74.68, and the sum of the absolute errors of 385.44.Please note that although there have been many attempts to predict Deere 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 Deere's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Deere Stock Forecast Pattern
| Backtest Deere | Deere Price Prediction | Buy or Sell Advice |
Deere Forecasted Value
In the context of forecasting Deere'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. Deere's downside and upside margins for the forecasting period are 524.71 and 528.12, respectively. We have considered Deere'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 Deere stock data series using in forecasting. Note that when a statistical model is used to represent Deere 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 | 118.7479 |
| Bias | Arithmetic mean of the errors | -1.6942 |
| MAD | Mean absolute deviation | 6.5328 |
| MAPE | Mean absolute percentage error | 0.0134 |
| SAE | Sum of the absolute errors | 385.435 |
Predictive Modules for Deere
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Deere Company. 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 Deere'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.
Deere After-Hype Price Density Analysis
As far as predicting the price of Deere 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 Deere 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 Deere, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Deere Estimiated After-Hype Price Volatility
In the context of predicting Deere's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Deere's historical news coverage. Deere's after-hype downside and upside margins for the prediction period are 534.16 and 537.58, respectively. We have considered Deere'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
Deere is very steady at this time. Analysis and calculation of next after-hype price of Deere Company is based on 3 months time horizon.
Deere Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Deere is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Deere 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 Deere, 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 |
0.26 | 1.71 | 0.32 | 0.53 | 7 Events / Month | 6 Events / Month | In about 7 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
527.82 | 535.87 | 0.06 |
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Deere Hype Timeline
As of January 29, 2026 Deere Company is listed for 527.82. The entity has historical hype elasticity of 0.32, and average elasticity to hype of competition of 0.53. Deere is forecasted to increase in value after the next headline, with the price projected to jump to 535.87 or above. The average volatility of media hype impact on the company the price is about 137.9%. The price growth on the next news is projected to be 0.06%, whereas the daily expected return is currently at 0.26%. The volatility of related hype on Deere is about 83.86%, with the expected price after the next announcement by competition of 528.35. The company generated the yearly revenue of 44.66 B. Reported Net Income was 5.03 B with gross profit of 12.3 B. Allowing for the 90-day total investment horizon the next forecasted press release will be in about 7 days. Check out Historical Fundamental Analysis of Deere to cross-verify your projections.Deere Related Hype Analysis
Having access to credible news sources related to Deere's direct competition is more important than ever and may enhance your ability to predict Deere's future price movements. Getting to know how Deere'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 Deere may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| LMT | Lockheed Martin | 8.73 | 7 per month | 1.34 | 0.16 | 2.91 | (2.25) | 7.74 | |
| ADP | Automatic Data Processing | (0.94) | 9 per month | 0.00 | (0.18) | 1.69 | (2.05) | 6.58 | |
| HON | Honeywell International | 2.54 | 6 per month | 1.10 | 0 | 2.03 | (1.97) | 5.31 | |
| UNP | Union Pacific | 5.92 | 8 per month | 1.25 | (0.01) | 2.07 | (1.91) | 6.18 | |
| PH | Parker Hannifin | (5.53) | 9 per month | 0.69 | 0.15 | 2.41 | (1.57) | 9.94 | |
| ETN | Eaton PLC | (2.05) | 8 per month | 0.00 | (0.08) | 3.09 | (4.15) | 8.67 | |
| NOC | Northrop Grumman | 9.26 | 7 per month | 1.42 | 0.08 | 2.85 | (1.69) | 9.88 | |
| GD | General Dynamics | 1.02 | 7 per month | 1.27 | 0 | 2.00 | (2.23) | 7.72 | |
| ITW | Illinois Tool Works | 1.50 | 9 per month | 1.47 | (0.04) | 2.40 | (2.82) | 6.22 | |
| PCAR | PACCAR Inc | (0.06) | 7 per month | 0.77 | 0.18 | 3.68 | (1.63) | 7.16 |
Other Forecasting Options for Deere
For every potential investor in Deere, whether a beginner or expert, Deere's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Deere Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Deere. Basic forecasting techniques help filter out the noise by identifying Deere's price trends.Deere 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 Deere stock to make a market-neutral strategy. Peer analysis of Deere could also be used in its relative valuation, which is a method of valuing Deere by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Deere Market Strength Events
Market strength indicators help investors to evaluate how Deere stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Deere shares will generate the highest return on investment. By undertsting and applying Deere stock market strength indicators, traders can identify Deere Company entry and exit signals to maximize returns.
Deere Risk Indicators
The analysis of Deere'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 Deere's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting deere 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 | 1.18 | |||
| Semi Deviation | 1.54 | |||
| Standard Deviation | 1.68 | |||
| Variance | 2.83 | |||
| Downside Variance | 2.75 | |||
| Semi Variance | 2.36 | |||
| Expected Short fall | (1.24) |
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 Deere
The number of cover stories for Deere depends on current market conditions and Deere's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Deere 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 Deere'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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Deere Short Properties
Deere's future price predictability will typically decrease when Deere's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Deere Company often depends not only on the future outlook of the potential Deere'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. Deere's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 271.7 M | |
| Cash And Short Term Investments | 9.7 B |
Check out Historical Fundamental Analysis of Deere to cross-verify your projections. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Will Agricultural & Farm Machinery sector continue expanding? Could Deere diversify its offerings? Factors like these will boost the valuation of Deere. Projected growth potential of Deere fundamentally drives upward valuation adjustments. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Deere data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth (0.14) | Dividend Share 6.48 | Earnings Share 18.48 | Revenue Per Share | Quarterly Revenue Growth 0.126 |
Investors evaluate Deere Company using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Deere'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 Deere's market price to deviate significantly from intrinsic value.
It's important to distinguish between Deere's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Deere should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Deere's market price signifies the transaction level at which participants voluntarily complete trades.