Gmo Trust Mutual Fund Forecast - Simple Exponential Smoothing
| GMAOXDelisted Fund | USD 11.63 0.00 0.00% |
The Simple Exponential Smoothing forecasted value of Gmo Trust on the next trading day is expected to be 11.63 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. Gmo Mutual Fund Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Gmo Trust's share price is below 20 . This usually indicates that the mutual fund 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 Gmo Trust hype-based prediction, you can estimate the value of Gmo Trust from the perspective of Gmo Trust response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Gmo Trust on the next trading day is expected to be 11.63 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. Gmo Trust after-hype prediction price | USD 11.63 |
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 fund price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Gmo |
Gmo Trust Additional Predictive Modules
Most predictive techniques to examine Gmo price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Gmo using various technical indicators. When you analyze Gmo 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 | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Gmo Trust Simple Exponential Smoothing Price Forecast For the 23rd of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Gmo Trust on the next trading day is expected to be 11.63 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.Please note that although there have been many attempts to predict Gmo Mutual Fund 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 Gmo Trust's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Gmo Trust Mutual Fund Forecast Pattern
| Backtest Gmo Trust | Gmo Trust Price Prediction | Buy or Sell Advice |
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 Gmo Trust mutual fund data series using in forecasting. Note that when a statistical model is used to represent Gmo Trust mutual fund, 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 | -9.223372036854776E14 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 0.0 |
| SAE | Sum of the absolute errors | 0.0 |
Predictive Modules for Gmo Trust
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Gmo Trust. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund 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.Gmo Trust After-Hype Price Prediction Density Analysis
As far as predicting the price of Gmo Trust 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 Gmo Trust 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 Mutual Fund prices, such as prices of Gmo Trust, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Gmo Trust Estimiated After-Hype Price Volatility
In the context of predicting Gmo Trust's mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Gmo Trust's historical news coverage. Gmo Trust's after-hype downside and upside margins for the prediction period are 11.63 and 11.63, respectively. We have considered Gmo Trust'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
Gmo Trust is very steady at this time. Analysis and calculation of next after-hype price of Gmo Trust is based on 3 months time horizon.
Gmo Trust Mutual Fund Price Prediction Analysis
Have you ever been surprised when a price of a Mutual Fund such as Gmo Trust is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Gmo Trust 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 Fund 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 Gmo Trust, 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 | 0.00 | 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 | ||
11.63 | 11.63 | 0.00 |
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Gmo Trust Hype Timeline
Gmo Trust is currently traded for 11.63. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Gmo is estimated 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 estimated to be very small, whereas the daily expected return is currently at 0.0%. %. The volatility of related hype on Gmo Trust is about 0.0%, with the expected price after the next announcement by competition of 11.63. The company had not issued any dividends in recent years. Assuming the 90 days horizon the next estimated press release will be in a few days. Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any mutual fund could be closely tied with the direction of predictive economic indicators such as various price indices.Gmo Trust Related Hype Analysis
Having access to credible news sources related to Gmo Trust's direct competition is more important than ever and may enhance your ability to predict Gmo Trust's future price movements. Getting to know how Gmo Trust'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 Gmo Trust may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| VBIPX | Vanguard Short Term Bond | 0.00 | 0 per month | 0.02 | (0.88) | 0.20 | (0.10) | 0.49 | |
| TFBIX | Maryland Tax Free Bond | 0.00 | 0 per month | 0.00 | (0.83) | 0.20 | (0.10) | 0.69 | |
| PRVBX | Versatile Bond Portfolio | 0.00 | 0 per month | 0.00 | (1.02) | 0.15 | (0.14) | 0.36 | |
| USCBX | California Bond Fund | 0.00 | 0 per month | 0.00 | (0.68) | 0.29 | (0.20) | 0.68 | |
| BBINX | Bbh Intermediate Municipal | 0.00 | 0 per month | 0.00 | (0.97) | 0.19 | (0.10) | 0.48 | |
| TTRBX | Ambrus Core Bond | 0.00 | 0 per month | 0.00 | (0.71) | 0.20 | (0.20) | 0.60 | |
| MBSAX | Multisector Bond Sma | 0.00 | 0 per month | 0.05 | (0.16) | 0.37 | (0.44) | 2.24 |
Gmo Trust 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 Gmo Trust mutual fund to make a market-neutral strategy. Peer analysis of Gmo Trust could also be used in its relative valuation, which is a method of valuing Gmo Trust by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Gmo Trust Market Strength Events
Market strength indicators help investors to evaluate how Gmo Trust mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Gmo Trust shares will generate the highest return on investment. By undertsting and applying Gmo Trust mutual fund market strength indicators, traders can identify Gmo Trust entry and exit signals to maximize returns.
Story Coverage note for Gmo Trust
The number of cover stories for Gmo Trust depends on current market conditions and Gmo Trust's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Gmo Trust 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 Gmo Trust'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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Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any mutual fund could be closely tied with the direction of predictive economic indicators such as various price indices. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
Other Consideration for investing in Gmo Mutual Fund
If you are still planning to invest in Gmo Trust check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Gmo Trust's history and understand the potential risks before investing.
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