Guru Favorite Etf Forward View - Polynomial Regression
| GFGF Etf | USD 35.13 0.26 0.73% |
Guru Etf outlook is based on your current time horizon. We recommend always using this module together with an analysis of Guru Favorite's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 1st of February 2026, the relative strength momentum indicator of Guru Favorite's share price is approaching 48. This usually indicates 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 Guru Favorite, making its price go up or down. Momentum 48
Impartial
Oversold | Overbought |
Using Guru Favorite hype-based prediction, you can estimate the value of Guru Favorite Stocks from the perspective of Guru Favorite response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Guru Favorite Stocks on the next trading day is expected to be 35.00 with a mean absolute deviation of 0.22 and the sum of the absolute errors of 13.57. Guru Favorite after-hype prediction price | USD 35.13 |
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 Guru Favorite to cross-verify your projections. Guru Favorite Additional Predictive Modules
Most predictive techniques to examine Guru price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Guru using various technical indicators. When you analyze Guru 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 |
Guru Favorite Polynomial Regression Price Forecast For the 2nd of February
Given 90 days horizon, the Polynomial Regression forecasted value of Guru Favorite Stocks on the next trading day is expected to be 35.00 with a mean absolute deviation of 0.22, mean absolute percentage error of 0.08, and the sum of the absolute errors of 13.57.Please note that although there have been many attempts to predict Guru 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 Guru Favorite's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Guru Favorite Etf Forecast Pattern
| Backtest Guru Favorite | Guru Favorite Price Prediction | Buy or Sell Advice |
Guru Favorite Forecasted Value
In the context of forecasting Guru Favorite'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. Guru Favorite's downside and upside margins for the forecasting period are 34.28 and 35.72, respectively. We have considered Guru Favorite'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 Guru Favorite etf data series using in forecasting. Note that when a statistical model is used to represent Guru Favorite 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 | 115.5686 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.2225 |
| MAPE | Mean absolute percentage error | 0.0064 |
| SAE | Sum of the absolute errors | 13.5729 |
Predictive Modules for Guru Favorite
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Guru Favorite Stocks. 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.Guru Favorite After-Hype Price Density Analysis
As far as predicting the price of Guru Favorite 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 Guru Favorite 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 Guru Favorite, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Guru Favorite Estimiated After-Hype Price Volatility
In the context of predicting Guru Favorite's etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Guru Favorite's historical news coverage. Guru Favorite's after-hype downside and upside margins for the prediction period are 34.41 and 35.85, respectively. We have considered Guru Favorite'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
Guru Favorite is very steady at this time. Analysis and calculation of next after-hype price of Guru Favorite Stocks is based on 3 months time horizon.
Guru Favorite Etf Price Outlook Analysis
Have you ever been surprised when a price of a ETF such as Guru Favorite is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Guru Favorite 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 Guru Favorite, 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 |
0.03 | 0.72 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
35.13 | 35.13 | 0.00 |
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Guru Favorite Hype Timeline
Guru Favorite Stocks is currently traded for 35.13. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Guru 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 insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at 0.03%. %. The volatility of related hype on Guru Favorite is about 0.0%, with the expected price after the next announcement by competition of 35.13. The company had not issued any dividends in recent years. Given the investment horizon of 90 days the next forecasted press release will be in a few days. Check out Historical Fundamental Analysis of Guru Favorite to cross-verify your projections.Guru Favorite Related Hype Analysis
Having access to credible news sources related to Guru Favorite's direct competition is more important than ever and may enhance your ability to predict Guru Favorite's future price movements. Getting to know how Guru Favorite'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 Guru Favorite may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CCSO | Tidal ETF Trust | 0.00 | 0 per month | 1.41 | 0.02 | 1.65 | (2.55) | 5.38 | |
| HERZ | Herzfeld Creditome Fund | 0.00 | 0 per month | 1.41 | 0.15 | 4.76 | (3.03) | 38.81 | |
| SFYF | SoFi Social 50 | 0.00 | 0 per month | 0.00 | (0.1) | 1.58 | (2.37) | 5.66 | |
| AIVC | Amplify Bloomberg AI | 0.00 | 0 per month | 0.00 | (0.03) | 2.18 | (3.38) | 8.09 | |
| ABIG | Argent Large Cap | 0.00 | 0 per month | 0.93 | (0.05) | 1.26 | (1.45) | 3.85 | |
| TMFX | Motley Fool Next | 0.00 | 0 per month | 0.00 | (0.05) | 1.35 | (1.76) | 3.98 | |
| AUGT | AIM ETF Products | 0.00 | 0 per month | 0.43 | (0.02) | 0.58 | (0.83) | 2.26 | |
| THTA | Tidal ETF Trust | 0.00 | 0 per month | 0.50 | 0.02 | 0.96 | (0.98) | 3.66 | |
| JULZ | Trueshares Structured Outcome | 0.00 | 0 per month | 0.75 | (0.04) | 0.71 | (1.02) | 3.39 | |
| SPBX | AIM ETF Products | 0.00 | 0 per month | 0.25 | (0.02) | 0.59 | (0.55) | 1.83 |
Other Forecasting Options for Guru Favorite
For every potential investor in Guru, whether a beginner or expert, Guru Favorite's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Guru Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Guru. Basic forecasting techniques help filter out the noise by identifying Guru Favorite's price trends.Guru Favorite 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 Guru Favorite etf to make a market-neutral strategy. Peer analysis of Guru Favorite could also be used in its relative valuation, which is a method of valuing Guru Favorite by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Guru Favorite Market Strength Events
Market strength indicators help investors to evaluate how Guru Favorite etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Guru Favorite shares will generate the highest return on investment. By undertsting and applying Guru Favorite etf market strength indicators, traders can identify Guru Favorite Stocks entry and exit signals to maximize returns.
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 35.13 | |||
| Day Typical Price | 35.13 | |||
| Price Action Indicator | (0.13) | |||
| Period Momentum Indicator | (0.26) | |||
| Relative Strength Index | 48.87 |
Guru Favorite Risk Indicators
The analysis of Guru Favorite'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 Guru Favorite's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting guru 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 | 0.5523 | |||
| Semi Deviation | 0.7573 | |||
| Standard Deviation | 0.7174 | |||
| Variance | 0.5146 | |||
| Downside Variance | 0.6805 | |||
| Semi Variance | 0.5735 | |||
| Expected Short fall | (0.52) |
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 Guru Favorite
The number of cover stories for Guru Favorite depends on current market conditions and Guru Favorite's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Guru Favorite 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 Guru Favorite's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
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Check out Historical Fundamental Analysis of Guru Favorite to cross-verify your projections. You can also try the Share Portfolio module to track or share privately all of your investments from the convenience of any device.
Investors evaluate Guru Favorite Stocks using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Guru Favorite's intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. External factors like market trends, sector rotation, and investor psychology can cause Guru Favorite's market price to deviate significantly from intrinsic value.
Please note, there is a significant difference between Guru Favorite's value and its price as these two are different measures arrived at by different means. Investors typically determine if Guru Favorite is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Conversely, Guru Favorite's market price signifies the transaction level at which participants voluntarily complete trades.