Zillow Group Etf Forward View - Polynomial Regression
| Z Etf | USD 66.16 0.18 0.27% |
Zillow Etf outlook is based on your current time horizon.
At this time, the relative strength index (RSI) of Zillow Group's share price is approaching 43. This usually means that the etf is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Zillow Group, making its price go up or down. Momentum 43
Sell Extended
Oversold | Overbought |
Quarterly Earnings Growth (0.25) | EPS Estimate Next Quarter 0.3954 | EPS Estimate Current Year 1.6689 | EPS Estimate Next Year 2.2345 | Wall Street Target Price 85.3333 |
Using Zillow Group hype-based prediction, you can estimate the value of Zillow Group Class from the perspective of Zillow Group response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Zillow Group using Zillow Group's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Zillow using crowd psychology based on the activity and movement of Zillow Group's stock price.
Zillow Group Implied Volatility | 0.6 |
Zillow Group's implied volatility exposes the market's sentiment of Zillow Group Class stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Zillow Group'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 Zillow Group stock will not fluctuate a lot when Zillow Group's options are near their expiration.
The Polynomial Regression forecasted value of Zillow Group Class on the next trading day is expected to be 66.36 with a mean absolute deviation of 1.76 and the sum of the absolute errors of 107.65. Zillow Group after-hype prediction price | USD 66.71 |
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 etf price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Zillow Group to cross-verify your projections. Prediction based on Rule 16 of the current Zillow contract
Based on the Rule 16, the options market is currently suggesting that Zillow Group Class will have an average daily up or down price movement of about 0.0375% per day over the life of the 2026-03-20 option contract. With Zillow Group trading at USD 66.16, that is roughly USD 0.0248 . If you think that the market is fully incorporating Zillow Group's daily price movement you should consider acquiring Zillow Group Class options at the current volatility level of 0.6%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Open Interest Against 2026-03-20 Zillow Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Zillow Group'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 Zillow Group's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Zillow Group 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 Zillow Group's open interest, investors have to compare it to Zillow Group'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 Zillow Group 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 Zillow. 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.
Zillow Group Additional Predictive Modules
Most predictive techniques to examine Zillow price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Zillow using various technical indicators. When you analyze Zillow 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 |
Zillow Group Polynomial Regression Price Forecast For the 31st of January
Given 90 days horizon, the Polynomial Regression forecasted value of Zillow Group Class on the next trading day is expected to be 66.36 with a mean absolute deviation of 1.76, mean absolute percentage error of 5.09, and the sum of the absolute errors of 107.65.Please note that although there have been many attempts to predict Zillow Etf 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 Zillow Group's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Zillow Group Etf Forecast Pattern
| Backtest Zillow Group | Zillow Group Price Prediction | Buy or Sell Advice |
Zillow Group Forecasted Value
In the context of forecasting Zillow Group's Etf 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. Zillow Group's downside and upside margins for the forecasting period are 63.99 and 68.74, respectively. We have considered Zillow Group'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Zillow Group etf data series using in forecasting. Note that when a statistical model is used to represent Zillow Group etf, 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 | 119.7372 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.7647 |
| MAPE | Mean absolute percentage error | 0.025 |
| SAE | Sum of the absolute errors | 107.645 |
Predictive Modules for Zillow Group
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Zillow Group Class. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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.Zillow Group After-Hype Price Density Analysis
As far as predicting the price of Zillow Group 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 Zillow Group 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 Etf prices, such as prices of Zillow Group, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Zillow Group Estimiated After-Hype Price Volatility
In the context of predicting Zillow Group's etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Zillow Group's historical news coverage. Zillow Group's after-hype downside and upside margins for the prediction period are 64.34 and 69.08, respectively. We have considered Zillow Group'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
Zillow Group is very steady at this time. Analysis and calculation of next after-hype price of Zillow Group Class is based on 3 months time horizon.
Zillow Group Etf Price Outlook Analysis
Have you ever been surprised when a price of a ETF such as Zillow Group is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Zillow Group 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 Etf 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 Zillow Group, 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 |
0.17 | 2.37 | 0.55 | 0.16 | 8 Events / Month | 6 Events / Month | In about 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
66.16 | 66.71 | 0.83 |
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Zillow Group Hype Timeline
As of January 30, 2026 Zillow Group Class is listed for 66.16. The entity has historical hype elasticity of 0.55, and average elasticity to hype of competition of -0.16. Zillow is forecasted to increase in value after the next headline, with the price projected to jump to 66.71 or above. The average volatility of media hype impact on the company the price is about 73.83%. The price jump on the next news is projected to be 0.83%, whereas the daily expected return is at this time at -0.17%. The volatility of related hype on Zillow Group is about 257.61%, with the expected price after the next announcement by competition of 66.00. The company reported the annual revenue of 2.24 B. Total Loss to common stockholders was (112 M) with gross profit before all taxes, overhead, and interest of 1.86 B. Taking into account the 90-day investment horizon the next forecasted press release will be in about 8 days. Check out Historical Fundamental Analysis of Zillow Group to cross-verify your projections.Zillow Group Related Hype Analysis
Having access to credible news sources related to Zillow Group's direct competition is more important than ever and may enhance your ability to predict Zillow Group's future price movements. Getting to know how Zillow Group'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 Zillow Group may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| TWLO | Twilio Inc | (6.02) | 10 per month | 2.63 | 0.04 | 4.10 | (4.39) | 24.75 | |
| ROKU | Roku Inc | (1.85) | 11 per month | 2.19 | 0 | 3.80 | (3.06) | 11.68 | |
| PINS | (0.66) | 7 per month | 0.00 | (0.18) | 2.80 | (4.13) | 25.49 | ||
| SNAP | Snap Inc | (0.03) | 9 per month | 0.00 | (0.06) | 4.89 | (4.48) | 15.34 | |
| VIV | Telefonica Brasil SA | 0.20 | 11 per month | 2.16 | 0.08 | 3.13 | (2.90) | 11.53 | |
| TLK | Telkom Indonesia Tbk | (0.54) | 35 per month | 2.70 | 0.01 | 2.94 | (2.90) | 17.24 | |
| WMG | Warner Music Group | (0.40) | 8 per month | 0.00 | (0.12) | 2.58 | (2.66) | 8.94 | |
| NWSA | News Corp A | (0.06) | 12 per month | 1.18 | (0.02) | 1.65 | (2.05) | 9.10 | |
| RCI | Rogers Communications | 0.09 | 7 per month | 0.00 | (0.05) | 1.67 | (1.85) | 4.03 | |
| BCE | BCE Inc | 0.07 | 9 per month | 0.92 | 0.06 | 1.98 | (1.60) | 6.21 |
Other Forecasting Options for Zillow Group
For every potential investor in Zillow, whether a beginner or expert, Zillow Group's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Zillow Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Zillow. Basic forecasting techniques help filter out the noise by identifying Zillow Group's price trends.Zillow Group 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 Zillow Group etf to make a market-neutral strategy. Peer analysis of Zillow Group could also be used in its relative valuation, which is a method of valuing Zillow Group by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Zillow Group Market Strength Events
Market strength indicators help investors to evaluate how Zillow Group etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Zillow Group shares will generate the highest return on investment. By undertsting and applying Zillow Group etf market strength indicators, traders can identify Zillow Group Class entry and exit signals to maximize returns.
Zillow Group Risk Indicators
The analysis of Zillow Group'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 Zillow Group's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting zillow etf 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 | 1.78 | |||
| Standard Deviation | 2.45 | |||
| Variance | 6.01 |
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 Zillow Group
The number of cover stories for Zillow Group depends on current market conditions and Zillow Group's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Zillow Group 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 Zillow Group'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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Zillow Group Short Properties
Zillow Group's future price predictability will typically decrease when Zillow Group's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Zillow Group Class often depends not only on the future outlook of the potential Zillow Group'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. Zillow Group's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 234.1 M | |
| Cash And Short Term Investments | 1.9 B |
Other Information on Investing in Zillow Etf
Zillow Group financial ratios help investors to determine whether Zillow Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Zillow with respect to the benefits of owning Zillow Group security.