GEX Index Forward View - Polynomial Regression
| GEX Index | 2,370 10.49 0.44% |
Momentum 0
Sell Peaked
Oversold | Overbought |
Using GEX hype-based prediction, you can estimate the value of GEX from the perspective of GEX response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of GEX on the next trading day is expected to be 2,324 with a mean absolute deviation of 24.94 and the sum of the absolute errors of 1,522. GEX after-hype prediction price | USD 2370.0 |
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 index price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any index could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product. GEX Additional Predictive Modules
Most predictive techniques to examine GEX price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for GEX using various technical indicators. When you analyze GEX 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 |
GEX Polynomial Regression Price Forecast For the 17th of February 2026
Given 90 days horizon, the Polynomial Regression forecasted value of GEX on the next trading day is expected to be 2,324 with a mean absolute deviation of 24.94, mean absolute percentage error of 929.04, and the sum of the absolute errors of 1,522.Please note that although there have been many attempts to predict GEX Index prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that GEX's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
GEX Index Forecast Pattern
GEX Forecasted Value
In the context of forecasting GEX's Index 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. GEX's downside and upside margins for the forecasting period are 2,323 and 2,325, respectively. We have considered GEX'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 GEX index data series using in forecasting. Note that when a statistical model is used to represent GEX index, 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 | 124.9447 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 24.9449 |
| MAPE | Mean absolute percentage error | 0.0099 |
| SAE | Sum of the absolute errors | 1521.6388 |
Predictive Modules for GEX
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as GEX. Regardless of method or technology, however, to accurately forecast the index market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the index 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.GEX Estimiated After-Hype Price Volatility
As far as predicting the price of GEX 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 GEX 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 Index prices, such as prices of GEX, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
GEX Index Price Outlook Analysis
Have you ever been surprised when a price of a Index such as GEX is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading GEX 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 Index 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 GEX, 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 |
0.00 | 1.02 | 0.00 | 0.00 | 12 Events / Month | 3 Events / Month | In about 12 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
2,370 | 2,370 | 0.00 |
|
GEX Hype Timeline
GEX is currently traded for 2,370. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. GEX 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 over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at 0.0%. %. The volatility of related hype on GEX is about 173.3%, with the expected price after the next announcement by competition of 2,370. Assuming the 90 days trading horizon the next forecasted press release will be in about 12 days. Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any index could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.GEX Related Hype Analysis
Having access to credible news sources related to GEX's direct competition is more important than ever and may enhance your ability to predict GEX's future price movements. Getting to know how GEX'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 GEX may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SOHOB | Sotherly Hotels Series | 0.11 | 2 per month | 0.00 | 0.04 | 0.71 | (0.52) | 5.76 | |
| PEB-P-E | Pebblebrook Hotel Trust | 0.00 | 0 per month | 1.02 | 0.01 | 2.28 | (1.76) | 5.17 | |
| IGNE | Igene Biotechnology | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| INN | Summit Hotel Properties | 0.08 | 9 per month | 0.00 | (0.16) | 3.91 | (3.79) | 11.13 | |
| CNDL | Candlewood Hotel | 0.00 | 1 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| VIR | Vir Biotechnology | 0.03 | 10 per month | 3.33 | 0.12 | 8.08 | (5.45) | 23.40 | |
| AMKR | Amkor Technology | 3.90 | 8 per month | 3.76 | 0.11 | 8.71 | (7.33) | 20.29 |
Other Forecasting Options for GEX
For every potential investor in GEX, whether a beginner or expert, GEX's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. GEX Index price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in GEX. Basic forecasting techniques help filter out the noise by identifying GEX's price trends.GEX 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 GEX index to make a market-neutral strategy. Peer analysis of GEX could also be used in its relative valuation, which is a method of valuing GEX by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
GEX Market Strength Events
Market strength indicators help investors to evaluate how GEX index reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading GEX shares will generate the highest return on investment. By undertsting and applying GEX index market strength indicators, traders can identify GEX entry and exit signals to maximize returns.
GEX Risk Indicators
The analysis of GEX'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 GEX's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting gex index 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 | 0.7813 | |||
| Semi Deviation | 0.9348 | |||
| Standard Deviation | 1.06 | |||
| Variance | 1.12 | |||
| Downside Variance | 0.9318 | |||
| Semi Variance | 0.8738 | |||
| Expected Short fall | (0.89) |
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 GEX
The number of cover stories for GEX depends on current market conditions and GEX's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that GEX 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 GEX's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
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