Forestar Group Stock Price Patterns

FOR Stock  USD 24.29  -0.43  -1.74%   
As reflected in current metrics, Forestar posts the RSI oscillator reading of 35, reflecting mild downside bias. Momentum in this band leans bearish but lacks the intensity that typically precedes a sharp move lower.
Momentum
Sell Extended
 
Oversold
 
Overbought
Investor sentiment around Forestar can cause the stock to overshoot or undershoot its fair value for extended periods. This module tracks sentiment signals to identify when that divergence is likely to correct. Fundamental indicators supporting Forestar's forecast view:
 Quarterly Earnings Growth
-0.06
 EPS Estimate Next Quarter
0.6627
 EPS Estimate Current Year
3.0277
 EPS Estimate Next Year
3.3734
 Wall Street Target Price
33
This dataset for Forestar Group reflects how headlines align with price movement. All values are derived from observed headline activity and market data. The view aggregates Forestar's options activity and short interest to frame sentiment. Options volume and short interest trends reflect how participants are positioned. Sentiment metrics reflect participant activity and are not predictive statements.

Short Interest Overview for Forestar

Short interest changes for Forestar can signal shifts in positioning. The view frames short positioning as reference context rather than a directional signal. All values are computed from publicly available trading activity and price records. The dataset is presented as structured reference material for independent review.
 200 Day MA
25.4485
 Short Percent
0.0301
 Short Ratio
3.26
 Shares Short Prior Month
429.2 K
 50 Day MA
27.2018

Forestar Group Hype to Price Pattern

Headline and social attention around Forestar provide a sentiment layer for price context. The view connects attention signals with observed price behavior.
The sentiment-to-price relationship for Forestar is summarized for context. The summary provides attention context across different market periods.
Forestar Implied Volatility
    
  0.79  
Forestar's implied volatility reflects the market's expectation for price variability, not direction. This reading serves as a reference point for near-term volatility expectations.
This sentiment snapshot for Forestar organizes news and public attention around recent patterns. Short-term volatility context is framed alongside the attention signals. The hype view frames attention cycles and how they align with price movement.
Forestar after-hype prediction price
    
  $ 24.29  
This sentiment layer is designed to be read with forecasting, technical, and analyst context. The framework also incorporates earnings data and momentum signals. The combined view supports interpretation across multiple analytical dimensions. All sentiment data is presented as informational context.

Rule 16 Reference for the current Forestar contract

Applying Rule 16 to implied volatility yields an estimated daily move of 0.0494% for 2026-05-15 options. Given Forestar trading around $ 24.29, the move is about $ 0.01 per day. The figure represents expected variability based on options data. The information reflects available volatility estimates.
The Forestar Basic Forecasting Models output provides an alternative projection reference for Forestar. Quantitative models complement qualitative projection inputs for Forestar. Statistical output for Forestar reflects patterns identified in historical data series.
Investors who believe in mean reversion view Forestar's price extremes not as permanent states but as temporary dislocations that create opportunities for disciplined, contrarian capital allocation.
Intrinsic
Valuation
LowRealHigh
21.8629.4031.62
Details
Naive
Forecast
LowNextHigh
23.3625.5827.80
Details
Analyst
Consensus
LowTargetHigh
30.0333.0036.63
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.790.800.80
Details
A complete picture of Forestar's investment merit requires comparative analysis. How Forestar's growth rates, profitability, and capital efficiency stack up against peers is often the deciding factor in investment decisions.

After-Hype Price Density Analysis

The shape of Forestar's price distribution after major news events tends to be skewed, with larger potential moves to the downside than to the upside for established companies like Forestar. This asymmetry is a key input for options pricing and risk management.
   Next price density   
       Expected price to next headline  

Estimiated After-Hype Price Volatility

By studying Forestar's historical news reactions, we generate empirical estimates of the price boundaries that follow significant headlines. Forestar's after-hype downside and upside margins for the prediction period are 22.07 and 26.51, respectively. These estimates are most reliable when Forestar's news reaction patterns have been consistent over multiple events.
Current Value
24.29
24.29
After-hype Price
26.51
Upside
This after-hype projection for Forestar Group uses a 3 months horizon to examine how price may behave after short-term sentiment effects dissipate. Forestar is Very Low at this time.

Price Outlook Analysis

Have you ever been surprised when a price of a Company such as Forestar is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Forestar 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 Forestar, 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 
2.22
 0.00  
 0.00  
8 Events
7 Events
In 8 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
24.29
24.29
0.00 
22,200  
Notes

Hype Timeline

On the 21st of March Forestar Group is traded for 24.29. The company stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Forestar is estimated 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 estimated to be very small, whereas the daily expected return is currently at 0.01%. %. The volatility of related hype on Forestar is about 1865.55%, with the expected price after the next announcement by competition of 24.29. About 62.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 0.7. Some equities with similar Price to Book (P/B) outperform the market in the long run. Forestar Group had not issued any dividends in recent years. Considering the 90-day investment horizon the next estimated press release will be in 8 days.
The Forestar Basic Forecasting Models output provides an alternative projection reference for Forestar. Quantitative models complement qualitative projection inputs for Forestar. Statistical output for Forestar reflects patterns identified in historical data series.

Related Hype Analysis

News about regulatory changes, technological disruptions, or macroeconomic shifts can affect Forestar's entire competitive landscape simultaneously. Monitoring peer reactions to such events provides context for anticipating Forestar's likely response.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
KREFKKR Real Estate-0.03 10 per month 0.00 -0.16 2.77 -3.31 11.70
EFCEllington Financial 0.03 11 per month 0.00 -0.12 1.19 -2.00 5.07
ARIApollo Commercial Real-0.11 8 per month 1.12 0.09 1.95 -1.69 7.34
SDHCSmith Douglas Homes 0.12 1 per month 0.00 -0.18 6.77 -5.98 24.32
IIPRInnovative Industrial Properties 1.29 10 per month 0.00  0.02 3.45 -3.52 13.74
VREVeris Residential 0.02 9 per month 0.48 0.25 3.68 -1.51 12.32
LADRLadder Capital Corp 0.04 10 per month 0.00 -0.08 1.48 -1.90 8.26
SILASila Realty Trust-0.09 9 per month 1.15 0.12 2.16 -1.68 6.25
HOUSAnywhere Real Estate-0.01 6 per month 1.49 0.26 6.95 -3.45 14.45
HBNBHotel101 Global Holdings-0.07 4 per month 3.07 0.10 6.70 -3.82 22.27

Forestar Additional Predictive Modules

Predictive models for Forestar combine technical indicators with statistical methods to estimate probable price trajectories. Ensemble techniques that blend multiple model outputs often produce more stable predictions than any single model.

Sentiment Indicators & Methodology

Sentiment analysis for Forestar evaluates news tone, positioning, and narrative momentum. Momentum often follows narrative shifts when liquidity is supportive. Forestar has a market cap of 1.24 B, P/E of 8.42, ROE of 9.81%.

This section for Forestar Group is built from periodic company reporting and market reference feeds, with harmonization applied to align reporting definitions. Where analyst coverage exists, consensus estimates are factored in. Values may update on different source schedules.

This content is curated and reviewed by:

Rifka Kats - Member of Macroaxis Editorial Board
Last reviewed on March 9th, 2026

Pair Trading with Forestar

Using Forestar in a pair-trading setup can improve risk control because gains and losses are judged against a second position instead of against the market alone. A disciplined pair strategy still requires monitoring because correlation can weaken when market regimes change.

Moving against Forestar Stock

  0.57CYBL Cyberlux CorpPairCorr
  0.41OPINL Office Properties IncomePairCorr
Sophisticated investors use correlation analysis to build Forestar replacement strategies that go beyond simple sector matching. Assets with similar factor exposures to Forestar Group provide the most accurate portfolio substitution during tax-loss harvesting periods.
Statistical correlation between Forestar and its peers is an essential input for mean-variance portfolio optimization. Lower correlation of Forestar Group with other holdings allows for a more efficient frontier with superior risk-adjusted returns.
Using Correlation analysis with pair analysis helps develop hedging context around Forestar. The approach supports pair evaluation within Forestar's sector and across broader groups. Correlation values used in pair analysis are derived from historical return data. The dataset reflects price and volume inputs from market records.
Pair CorrelationCorrelation Matching

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