ETF Managers Etf Forecast - Simple Exponential Smoothing
| BWET Etf | 31.31 0.25 0.79% |
The Simple Exponential Smoothing forecasted value of ETF Managers Group on the next trading day is expected to be 31.31 with a mean absolute deviation of 0.87 and the sum of the absolute errors of 52.36. ETF Etf Forecast is based on your current time horizon.
At this time the relative strength momentum indicator of ETF Managers' share price is below 20 suggesting that the etf is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using ETF Managers hype-based prediction, you can estimate the value of ETF Managers Group from the perspective of ETF Managers response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards ETF Managers using ETF Managers' stock options and short interest. It helps to benchmark the overall future attitude of investors towards ETF using crowd psychology based on the activity and movement of ETF Managers' stock price.
ETF Managers Implied Volatility | 0.69 |
ETF Managers' implied volatility exposes the market's sentiment of ETF Managers Group stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if ETF Managers' 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 ETF Managers stock will not fluctuate a lot when ETF Managers' options are near their expiration.
The Simple Exponential Smoothing forecasted value of ETF Managers Group on the next trading day is expected to be 31.31 with a mean absolute deviation of 0.87 and the sum of the absolute errors of 52.36. ETF Managers after-hype prediction price | USD 31.12 |
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 ETF Managers to cross-verify your projections. Prediction based on Rule 16 of the current ETF contract
Based on the Rule 16, the options market is currently suggesting that ETF Managers Group will have an average daily up or down price movement of about 0.0431% per day over the life of the 2026-03-20 option contract. With ETF Managers trading at USD 31.31, that is roughly USD 0.0135 . If you think that the market is fully incorporating ETF Managers' daily price movement you should consider acquiring ETF Managers Group options at the current volatility level of 0.69%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Open Interest Against 2026-03-20 ETF Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast ETF Managers' 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 ETF Managers' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for ETF Managers 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 ETF Managers' open interest, investors have to compare it to ETF Managers' 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 ETF Managers 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 ETF. 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.
ETF Managers Additional Predictive Modules
Most predictive techniques to examine ETF price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for ETF using various technical indicators. When you analyze ETF 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 |
ETF Managers Simple Exponential Smoothing Price Forecast For the 24th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of ETF Managers Group on the next trading day is expected to be 31.31 with a mean absolute deviation of 0.87, mean absolute percentage error of 1.55, and the sum of the absolute errors of 52.36.Please note that although there have been many attempts to predict ETF 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 ETF Managers' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
ETF Managers Etf Forecast Pattern
| Backtest ETF Managers | ETF Managers Price Prediction | Buy or Sell Advice |
ETF Managers Forecasted Value
In the context of forecasting ETF Managers' 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. ETF Managers' downside and upside margins for the forecasting period are 26.28 and 36.34, respectively. We have considered ETF Managers' 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 Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of ETF Managers etf data series using in forecasting. Note that when a statistical model is used to represent ETF Managers 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 | 116.7102 |
| Bias | Arithmetic mean of the errors | -0.2397 |
| MAD | Mean absolute deviation | 0.8727 |
| MAPE | Mean absolute percentage error | 0.0362 |
| SAE | Sum of the absolute errors | 52.36 |
Predictive Modules for ETF Managers
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ETF Managers Group. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of ETF Managers' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
ETF Managers After-Hype Price Prediction Density Analysis
As far as predicting the price of ETF Managers 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 ETF Managers 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 ETF Managers, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
ETF Managers Estimiated After-Hype Price Volatility
In the context of predicting ETF Managers' etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on ETF Managers' historical news coverage. ETF Managers' after-hype downside and upside margins for the prediction period are 26.09 and 36.15, respectively. We have considered ETF Managers' 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
ETF Managers is not too volatile at this time. Analysis and calculation of next after-hype price of ETF Managers Group is based on 3 months time horizon.
ETF Managers Etf Price Prediction Analysis
Have you ever been surprised when a price of a ETF such as ETF Managers is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading ETF Managers 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 ETF Managers, 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 |
1.13 | 5.03 | 0.19 | 0.01 | 1 Events / Month | 3 Events / Month | Very soon |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
31.31 | 31.12 | 0.61 |
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ETF Managers Hype Timeline
ETF Managers Group is currently traded for 31.31. The entity has historical hype elasticity of -0.19, and average elasticity to hype of competition of 0.01. ETF is forecasted to decline in value after the next headline, with the price expected to drop to 31.12. The average volatility of media hype impact on the company price is over 100%. The price decrease on the next news is expected to be -0.61%, whereas the daily expected return is currently at 1.13%. The volatility of related hype on ETF Managers is about 38692.31%, with the expected price after the next announcement by competition of 31.32. The company had not issued any dividends in recent years. Given the investment horizon of 90 days the next forecasted press release will be very soon. Check out Historical Fundamental Analysis of ETF Managers to cross-verify your projections.ETF Managers Related Hype Analysis
Having access to credible news sources related to ETF Managers' direct competition is more important than ever and may enhance your ability to predict ETF Managers' future price movements. Getting to know how ETF Managers' 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 ETF Managers may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| FGSI | FT Vest Growth | (0.07) | 2 per month | 0.67 | (0.10) | 1.14 | (1.27) | 2.83 | |
| EGLE | Global X Funds | (0.03) | 2 per month | 0.66 | (0.11) | 1.01 | (1.04) | 2.91 | |
| WDNA | WisdomTree BioRevolution | 0.30 | 1 per month | 1.25 | 0.07 | 2.92 | (2.08) | 7.43 | |
| DESK | VanEck ETF Trust | 0.41 | 14 per month | 0.00 | (0.19) | 2.01 | (1.44) | 4.51 | |
| XXCH | Direxion | 0.30 | 6 per month | 1.34 | 0.12 | 3.74 | (2.58) | 10.46 | |
| SPAM | Themes Cybersecurity ETF | 0.27 | 7 per month | 0.00 | (0.20) | 1.63 | (2.77) | 6.36 | |
| WTID | UBS ETRACS | (1.15) | 1 per month | 10.38 | (0.01) | 23.50 | (16.86) | 63.06 | |
| LGCF | Themes Cash Flow | 0.13 | 1 per month | 0.52 | (0.01) | 1.16 | (1.17) | 2.63 | |
| CPHY | Fm Compoundr High | (0.02) | 1 per month | 0.00 | (0.44) | 0.30 | (0.20) | 0.89 | |
| XTR | Global X SP | (0.01) | 3 per month | 0.67 | (0.09) | 0.99 | (1.25) | 3.33 |
Other Forecasting Options for ETF Managers
For every potential investor in ETF, whether a beginner or expert, ETF Managers' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. ETF Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in ETF. Basic forecasting techniques help filter out the noise by identifying ETF Managers' price trends.ETF Managers 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 ETF Managers etf to make a market-neutral strategy. Peer analysis of ETF Managers could also be used in its relative valuation, which is a method of valuing ETF Managers by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
ETF Managers Market Strength Events
Market strength indicators help investors to evaluate how ETF Managers etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading ETF Managers shares will generate the highest return on investment. By undertsting and applying ETF Managers etf market strength indicators, traders can identify ETF Managers Group entry and exit signals to maximize returns.
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 31.31 | |||
| Day Typical Price | 31.31 | |||
| Price Action Indicator | (0.12) | |||
| Period Momentum Indicator | (0.25) |
ETF Managers Risk Indicators
The analysis of ETF Managers' 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 ETF Managers' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting etf 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 | 3.7 | |||
| Semi Deviation | 3.23 | |||
| Standard Deviation | 4.95 | |||
| Variance | 24.51 | |||
| Downside Variance | 15.82 | |||
| Semi Variance | 10.45 | |||
| Expected Short fall | (4.47) |
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 ETF Managers
The number of cover stories for ETF Managers depends on current market conditions and ETF Managers' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that ETF Managers 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 ETF Managers' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Check out Historical Fundamental Analysis of ETF Managers to cross-verify your projections. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
The market value of ETF Managers Group is measured differently than its book value, which is the value of ETF that is recorded on the company's balance sheet. Investors also form their own opinion of ETF Managers' value that differs from its market value or its book value, called intrinsic value, which is ETF Managers' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because ETF Managers' market value can be influenced by many factors that don't directly affect ETF Managers' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between ETF Managers' value and its price as these two are different measures arrived at by different means. Investors typically determine if ETF Managers is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ETF Managers' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.