DHI Stock Forecast - Simple Regression

DHX Stock  USD 1.75  0.11  6.71%   
The Simple Regression forecasted value of DHI Group on the next trading day is expected to be 1.57 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 4.45. DHI Stock Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of DHI's share price is below 20 suggesting 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 DHI's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with DHI Group, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting DHI's stock price prediction:
Quarterly Earnings Growth
(0.54)
EPS Estimate Next Quarter
0.03
EPS Estimate Current Year
0.16
EPS Estimate Next Year
0.17
Wall Street Target Price
5.75
Using DHI hype-based prediction, you can estimate the value of DHI Group from the perspective of DHI response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards DHI using DHI's stock options and short interest. It helps to benchmark the overall future attitude of investors towards DHI using crowd psychology based on the activity and movement of DHI's stock price.

DHI Implied Volatility

    
  3.09  
DHI's implied volatility exposes the market's sentiment of DHI Group stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if DHI'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 DHI stock will not fluctuate a lot when DHI's options are near their expiration.
The Simple Regression forecasted value of DHI Group on the next trading day is expected to be 1.57 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 4.45.

DHI after-hype prediction price

    
  USD 1.74  
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 DHI to cross-verify your projections.

Open Interest Against 2026-03-20 DHI Option Contracts

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

DHI Additional Predictive Modules

Most predictive techniques to examine DHI price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for DHI using various technical indicators. When you analyze DHI 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 DHI 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.

DHI Simple Regression Price Forecast For the 24th of January

Given 90 days horizon, the Simple Regression forecasted value of DHI Group on the next trading day is expected to be 1.57 with a mean absolute deviation of 0.07, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.45.
Please note that although there have been many attempts to predict DHI 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 DHI's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

DHI Stock Forecast Pattern

Backtest DHIDHI Price PredictionBuy or Sell Advice 

DHI Forecasted Value

In the context of forecasting DHI'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. DHI's downside and upside margins for the forecasting period are 0.02 and 4.67, respectively. We have considered DHI'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
1.75
1.57
Expected Value
4.67
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 DHI stock data series using in forecasting. Note that when a statistical model is used to represent DHI 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 Criteria113.2657
BiasArithmetic mean of the errors None
MADMean absolute deviation0.073
MAPEMean absolute percentage error0.0425
SAESum of the absolute errors4.4504
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 DHI Group 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 DHI

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as DHI Group. 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
0.091.744.84
Details
Intrinsic
Valuation
LowRealHigh
0.132.685.78
Details
3 Analysts
Consensus
LowTargetHigh
5.235.756.38
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as DHI. Your research has to be compared to or analyzed against DHI's peers to derive any actionable benefits. When done correctly, DHI's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in DHI Group.

DHI After-Hype Price Prediction Density Analysis

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

DHI Estimiated After-Hype Price Volatility

In the context of predicting DHI's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on DHI's historical news coverage. DHI's after-hype downside and upside margins for the prediction period are 0.09 and 4.84, respectively. We have considered DHI'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
1.75
1.74
After-hype Price
4.84
Upside
DHI is unstable at this time. Analysis and calculation of next after-hype price of DHI Group is based on 3 months time horizon.

DHI Stock Price Prediction Analysis

Have you ever been surprised when a price of a Company such as DHI is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading DHI 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 DHI, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.20 
3.10
  0.01 
  0.01 
9 Events / Month
8 Events / Month
In about 9 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
1.75
1.74
0.57 
5,167  
Notes

DHI Hype Timeline

On the 23rd of January DHI Group is traded for 1.75. The entity has historical hype elasticity of -0.01, and average elasticity to hype of competition of -0.01. DHI is forecasted to decline in value after the next headline, with the price expected to drop to 1.74. The average volatility of media hype impact on the company price is over 100%. The price depreciation on the next news is expected to be -0.57%, whereas the daily expected return is currently at -0.2%. The volatility of related hype on DHI is about 4696.97%, with the expected price after the next announcement by competition of 1.74. About 17.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 0.85. Some equities with similar Price to Book (P/B) outperform the market in the long run. DHI Group has Price/Earnings To Growth (PEG) ratio of 1.64. The entity recorded a loss per share of 0.3. The firm had not issued any dividends in recent years. Considering the 90-day investment horizon the next forecasted press release will be in about 9 days.
Check out Historical Fundamental Analysis of DHI to cross-verify your projections.

DHI Related Hype Analysis

Having access to credible news sources related to DHI's direct competition is more important than ever and may enhance your ability to predict DHI's future price movements. Getting to know how DHI'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 DHI 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
BAERBridger Aerospace Group 0.19 9 per month 2.87  0.17  10.59 (5.35) 18.79 
CBATCBAK Energy Technology(0.01)6 per month 0.00 (0.18) 3.13 (3.37) 7.92 
FLUXFlux Power Holdings(0.12)8 per month 0.00 (0.20) 9.87 (16.54) 43.25 
DFLIChardan NexTech Acquisition(0.58)7 per month 0.00 (0.15) 13.98 (17.43) 58.61 
MHHMastech Holdings(0.27)3 per month 3.65  0.02  6.83 (5.59) 19.87 
SPAISafe Pro Group(0.27)3 per month 0.00 (0.06) 8.92 (9.08) 29.01 
OPTTOcean Power Technologies(0.06)11 per month 0.00 (0.02) 7.89 (8.82) 36.47 
FTEKFuel Tech 0.04 9 per month 0.00 (0.26) 6.45 (6.13) 19.15 
OPXSOptex Systems Holdings 0.27 8 per month 4.13 (0.02) 6.87 (6.88) 20.79 
HURCHurco Companies 0.15 6 per month 0.00 (0.08) 3.18 (3.44) 11.27 

Other Forecasting Options for DHI

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

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

DHI Market Strength Events

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

DHI Risk Indicators

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

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

DHI Short Properties

DHI's future price predictability will typically decrease when DHI's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of DHI Group often depends not only on the future outlook of the potential DHI'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. DHI's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding45.1 M
Cash And Short Term Investments3.7 M

Additional Tools for DHI Stock Analysis

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