Installed Building Stock Forecast - Triple Exponential Smoothing
| IBP Stock | USD 295.68 1.58 0.53% |
Installed Stock outlook is based on your current time horizon.
As of today, The value of RSI of Installed Building's share price is at 55. This usually indicates that the stock is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Installed Building, making its price go up or down. Momentum 55
Impartial
Oversold | Overbought |
Using Installed Building hype-based prediction, you can estimate the value of Installed Building Products from the perspective of Installed Building response to recently generated media hype and the effects of current headlines on its competitors.
The Triple Exponential Smoothing forecasted value of Installed Building Products on the next trading day is expected to be 295.85 with a mean absolute deviation of 5.63 and the sum of the absolute errors of 337.72. Installed Building after-hype prediction price | USD 295.68 |
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.
Installed | Build AI portfolio with Installed Stock |
Installed Building Additional Predictive Modules
Most predictive techniques to examine Installed price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Installed using various technical indicators. When you analyze Installed 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 |
Installed Building Triple Exponential Smoothing Price Forecast For the 28th of January
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Installed Building Products on the next trading day is expected to be 295.85 with a mean absolute deviation of 5.63, mean absolute percentage error of 59.11, and the sum of the absolute errors of 337.72.Please note that although there have been many attempts to predict Installed 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 Installed Building's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Installed Building Stock Forecast Pattern
| Backtest Installed Building | Installed Building Price Prediction | Buy or Sell Advice |
Installed Building Forecasted Value
In the context of forecasting Installed Building'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. Installed Building's downside and upside margins for the forecasting period are 293.13 and 298.57, respectively. We have considered Installed Building'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 Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Installed Building stock data series using in forecasting. Note that when a statistical model is used to represent Installed Building 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 | Huge |
| Bias | Arithmetic mean of the errors | -0.9487 |
| MAD | Mean absolute deviation | 5.6286 |
| MAPE | Mean absolute percentage error | 0.0207 |
| SAE | Sum of the absolute errors | 337.7187 |
Predictive Modules for Installed Building
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Installed Building. 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.Installed Building After-Hype Price Density Analysis
As far as predicting the price of Installed Building 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 Installed Building 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 Installed Building, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Installed Building Estimiated After-Hype Price Volatility
In the context of predicting Installed Building's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Installed Building's historical news coverage. Installed Building's after-hype downside and upside margins for the prediction period are 292.96 and 298.40, respectively. We have considered Installed Building'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
Installed Building is very steady at this time. Analysis and calculation of next after-hype price of Installed Building is based on 3 months time horizon.
Installed Building Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Installed Building is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Installed Building 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 Installed Building, 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 |
0.24 | 2.72 | 0.77 | 0.12 | 22 Events / Month | 7 Events / Month | In about 22 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
295.68 | 295.68 | 0.00 |
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Installed Building Hype Timeline
On the 27th of January Installed Building is traded for 295.68. The entity has historical hype elasticity of 0.77, and average elasticity to hype of competition of -0.12. Installed is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is about 85.0%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at 0.24%. %. The volatility of related hype on Installed Building is about 563.15%, with the expected price after the next announcement by competition of 295.56. About 16.0% of the company shares are held by company insiders. The company has Price/Earnings To Growth (PEG) ratio of 1.2. Installed Building recorded earning per share (EPS) of 9.27. The entity last dividend was issued on the 15th of December 2025. Considering the 90-day investment horizon the next forecasted press release will be in about 22 days. Check out Historical Fundamental Analysis of Installed Building to cross-verify your projections.Installed Building Related Hype Analysis
Having access to credible news sources related to Installed Building's direct competition is more important than ever and may enhance your ability to predict Installed Building's future price movements. Getting to know how Installed Building'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 Installed Building may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| TMHC | Taylor Morn Home | (0.01) | 9 per month | 1.45 | (0.04) | 3.92 | (2.73) | 10.34 | |
| FND | Floor Decor Holdings | (0.57) | 8 per month | 2.80 | (0.03) | 4.11 | (4.81) | 12.78 | |
| MNSO | Miniso Group Holding | 0.00 | 0 per month | 0.00 | (0.14) | 3.27 | (3.58) | 9.84 | |
| HRB | HR Block | (2.25) | 29 per month | 0.00 | (0.24) | 1.90 | (3.51) | 7.69 | |
| MHK | Mohawk Industries | 0.00 | 0 per month | 1.76 | (0.02) | 4.46 | (2.82) | 10.72 | |
| CHDN | Churchill Downs Incorporated | (3.41) | 9 per month | 1.47 | 0.01 | 2.46 | (2.90) | 11.27 | |
| ALSN | Allison Transmission Holdings | (0.89) | 10 per month | 0.82 | 0.23 | 3.31 | (1.54) | 6.81 | |
| LNW | Light Wonder | 0.32 | 26 per month | 1.31 | 0.31 | 8.54 | (2.83) | 14.31 | |
| KMX | CarMax Inc | (0.61) | 16 per month | 5.28 | 0.01 | 5.33 | (4.21) | 24.48 | |
| BYD | Boyd Gaming | 2.59 | 10 per month | 1.70 | (0.04) | 2.56 | (2.77) | 9.71 |
Other Forecasting Options for Installed Building
For every potential investor in Installed, whether a beginner or expert, Installed Building's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Installed Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Installed. Basic forecasting techniques help filter out the noise by identifying Installed Building's price trends.Installed Building 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 Installed Building stock to make a market-neutral strategy. Peer analysis of Installed Building could also be used in its relative valuation, which is a method of valuing Installed Building by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Installed Building Market Strength Events
Market strength indicators help investors to evaluate how Installed Building stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Installed Building shares will generate the highest return on investment. By undertsting and applying Installed Building stock market strength indicators, traders can identify Installed Building Products entry and exit signals to maximize returns.
| Accumulation Distribution | 8638.22 | |||
| Daily Balance Of Power | (0.20) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 296.75 | |||
| Day Typical Price | 296.39 | |||
| Price Action Indicator | (1.86) | |||
| Period Momentum Indicator | (1.58) | |||
| Relative Strength Index | 55.1 |
Installed Building Risk Indicators
The analysis of Installed Building'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 Installed Building's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting installed 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 | 2.06 | |||
| Semi Deviation | 2.1 | |||
| Standard Deviation | 2.72 | |||
| Variance | 7.39 | |||
| Downside Variance | 4.89 | |||
| Semi Variance | 4.41 | |||
| Expected Short fall | (2.60) |
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 Installed Building
The number of cover stories for Installed Building depends on current market conditions and Installed Building's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Installed Building 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 Installed Building'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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Installed Building Short Properties
Installed Building's future price predictability will typically decrease when Installed Building's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Installed Building Products often depends not only on the future outlook of the potential Installed Building'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. Installed Building's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 28.2 M | |
| Cash And Short Term Investments | 327.6 M |
Additional Tools for Installed Stock Analysis
When running Installed Building's price analysis, check to measure Installed Building'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 Installed Building is operating at the current time. Most of Installed Building's value examination focuses on studying past and present price action to predict the probability of Installed Building's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Installed Building's price. Additionally, you may evaluate how the addition of Installed Building to your portfolios can decrease your overall portfolio volatility.