Oshkosh Stock Forecast - Simple Regression

OSK Stock  USD 153.36  2.59  1.72%   
The Simple Regression forecasted value of Oshkosh on the next trading day is expected to be 139.67 with a mean absolute deviation of 6.18 and the sum of the absolute errors of 383.01. Oshkosh Stock Forecast is based on your current time horizon. Although Oshkosh's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Oshkosh's systematic risk associated with finding meaningful patterns of Oshkosh fundamentals over time.
As of now the relative strength index (rsi) of Oshkosh's share price is below 20 . This indicates 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
The successful prediction of Oshkosh's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Oshkosh, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting Oshkosh's stock price prediction:
Quarterly Earnings Growth
0.105
EPS Estimate Next Quarter
2.6075
EPS Estimate Current Year
10.8673
EPS Estimate Next Year
12.3178
Wall Street Target Price
156.5113
Using Oshkosh hype-based prediction, you can estimate the value of Oshkosh from the perspective of Oshkosh response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Oshkosh using Oshkosh's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Oshkosh using crowd psychology based on the activity and movement of Oshkosh's stock price.

Oshkosh Short Interest

An investor who is long Oshkosh may also wish to track short interest. As short interest increases, investors should be becoming more worried about Oshkosh and may potentially protect profits, hedge Oshkosh with its derivative instruments, or be ready for some potential downside.
200 Day MA
120.7163
Short Percent
0.1159
Short Ratio
7.3
Shares Short Prior Month
3.5 M
50 Day MA
129.9322

Oshkosh Hype to Price Pattern

Investor biases related to Oshkosh's public news can be used to forecast risks associated with an investment in Oshkosh. The trend in average sentiment can be used to explain how an investor holding Oshkosh can time the market purely based on public headlines and social activities around Oshkosh. 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 Oshkosh's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Oshkosh.

Oshkosh Implied Volatility

    
  0.45  
Oshkosh's implied volatility exposes the market's sentiment of Oshkosh stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Oshkosh'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 Oshkosh stock will not fluctuate a lot when Oshkosh's options are near their expiration.
The Simple Regression forecasted value of Oshkosh on the next trading day is expected to be 139.67 with a mean absolute deviation of 6.18 and the sum of the absolute errors of 383.01.

Oshkosh after-hype prediction price

    
  USD 155.73  
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 Oshkosh to cross-verify your projections.
For more information on how to buy Oshkosh Stock please use our How to buy in Oshkosh Stock guide.Inventory Turnover is expected to rise to 6.82 this year. Payables Turnover is expected to rise to 11.52 this year. Net Income Applicable To Common Shares is expected to rise to about 822.8 M this year, although the value of Common Stock Shares Outstanding will most likely fall to about 73.6 M.

Open Interest Against 2026-04-17 Oshkosh Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Oshkosh'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 Oshkosh's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Oshkosh 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 Oshkosh's open interest, investors have to compare it to Oshkosh'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 Oshkosh 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 Oshkosh. 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.

Oshkosh Additional Predictive Modules

Most predictive techniques to examine Oshkosh price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Oshkosh using various technical indicators. When you analyze Oshkosh 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.
Simple Regression model is a single variable regression model that attempts to put a straight line through Oshkosh price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Oshkosh Simple Regression Price Forecast For the 17th of January 2026

Given 90 days horizon, the Simple Regression forecasted value of Oshkosh on the next trading day is expected to be 139.67 with a mean absolute deviation of 6.18, mean absolute percentage error of 56.57, and the sum of the absolute errors of 383.01.
Please note that although there have been many attempts to predict Oshkosh 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 Oshkosh's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Oshkosh Stock Forecast Pattern

Backtest OshkoshOshkosh Price PredictionBuy or Sell Advice 

Oshkosh Forecasted Value

In the context of forecasting Oshkosh'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. Oshkosh's downside and upside margins for the forecasting period are 137.23 and 142.12, respectively. We have considered Oshkosh'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.
Market Value
153.36
137.23
Downside
139.67
Expected Value
142.12
Upside

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 Oshkosh stock data series using in forecasting. Note that when a statistical model is used to represent Oshkosh 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 Criteria123.9839
BiasArithmetic mean of the errors None
MADMean absolute deviation6.1775
MAPEMean absolute percentage error0.0462
SAESum of the absolute errors383.0081
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Oshkosh historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Oshkosh

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Oshkosh. 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 Oshkosh'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.
Hype
Prediction
LowEstimatedHigh
153.28155.73158.18
Details
Intrinsic
Valuation
LowRealHigh
132.55135.00168.70
Details
16 Analysts
Consensus
LowTargetHigh
142.43156.51173.73
Details
Earnings
Estimates (0)
LowProjected EPSHigh
2.662.312.81
Details

Other Forecasting Options for Oshkosh

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

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

Oshkosh Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Oshkosh's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Oshkosh's current price.

Oshkosh Market Strength Events

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

Oshkosh Risk Indicators

The analysis of Oshkosh'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 Oshkosh's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting oshkosh 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.

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When determining whether Oshkosh is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Oshkosh Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Oshkosh Stock. Highlighted below are key reports to facilitate an investment decision about Oshkosh Stock:
Check out Historical Fundamental Analysis of Oshkosh to cross-verify your projections.
For more information on how to buy Oshkosh Stock please use our How to buy in Oshkosh Stock guide.
You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
Is Construction Machinery & Heavy Transportation Equipment space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Oshkosh. If investors know Oshkosh will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Oshkosh listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
0.105
Dividend Share
1.99
Earnings Share
10.24
Revenue Per Share
159.752
Quarterly Revenue Growth
(0.02)
The market value of Oshkosh is measured differently than its book value, which is the value of Oshkosh that is recorded on the company's balance sheet. Investors also form their own opinion of Oshkosh's value that differs from its market value or its book value, called intrinsic value, which is Oshkosh's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Oshkosh's market value can be influenced by many factors that don't directly affect Oshkosh's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Oshkosh's value and its price as these two are different measures arrived at by different means. Investors typically determine if Oshkosh is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Oshkosh's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.