Future Scholar Mutual Fund Forecast - Simple Exponential Smoothing
| CLGAX Fund | USD 12.29 0.01 0.08% |
The Simple Exponential Smoothing forecasted value of Future Scholar 529 on the next trading day is expected to be 12.27 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.66. Future Mutual Fund Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Future Scholar's share price is below 20 suggesting 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 Future Scholar hype-based prediction, you can estimate the value of Future Scholar 529 from the perspective of Future Scholar response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Future Scholar 529 on the next trading day is expected to be 12.27 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.66. Future Scholar after-hype prediction price | USD 12.28 |
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.
Future |
Future Scholar Additional Predictive Modules
Most predictive techniques to examine Future price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Future using various technical indicators. When you analyze Future 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 |
Future Scholar Simple Exponential Smoothing Price Forecast For the 24th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Future Scholar 529 on the next trading day is expected to be 12.29 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0001, and the sum of the absolute errors of 0.53.Please note that although there have been many attempts to predict Future 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 Future Scholar's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Future Scholar Mutual Fund Forecast Pattern
| Backtest Future Scholar | Future Scholar Price Prediction | Buy or Sell Advice |
Future Scholar Forecasted Value
In the context of forecasting Future Scholar's Mutual Fund 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. Future Scholar's downside and upside margins for the forecasting period are 12.20 and 12.38, respectively. We have considered Future Scholar'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 Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Future Scholar mutual fund data series using in forecasting. Note that when a statistical model is used to represent Future Scholar 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 | 107.2854 |
| Bias | Arithmetic mean of the errors | -8.0E-4 |
| MAD | Mean absolute deviation | 0.0088 |
| MAPE | Mean absolute percentage error | 7.0E-4 |
| SAE | Sum of the absolute errors | 0.53 |
Predictive Modules for Future Scholar
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Future Scholar 529. 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.Future Scholar After-Hype Price Prediction Density Analysis
As far as predicting the price of Future Scholar 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 Future Scholar 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 Future Scholar, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Future Scholar Estimiated After-Hype Price Volatility
In the context of predicting Future Scholar's mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Future Scholar's historical news coverage. Future Scholar's after-hype downside and upside margins for the prediction period are 12.19 and 12.37, respectively. We have considered Future Scholar'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
Future Scholar is very steady at this time. Analysis and calculation of next after-hype price of Future Scholar 529 is based on 3 months time horizon.
Future Scholar Mutual Fund Price Prediction Analysis
Have you ever been surprised when a price of a Mutual Fund such as Future Scholar is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Future Scholar 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 Future Scholar, 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 |
0.01 | 0.09 | 0.00 | 0.06 | 0 Events / Month | 0 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
12.29 | 12.28 | 0.00 |
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Future Scholar Hype Timeline
Future Scholar 529 is currently traded for 12.29. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.06. Future 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 0.01%. %. The volatility of related hype on Future Scholar is about 1.48%, with the expected price after the next announcement by competition of 12.35. The company had not issued any dividends in recent years. Assuming the 90 days horizon the next forecasted press release will be in 5 to 10 days. Check out Historical Fundamental Analysis of Future Scholar to cross-verify your projections.Future Scholar Related Hype Analysis
Having access to credible news sources related to Future Scholar's direct competition is more important than ever and may enhance your ability to predict Future Scholar's future price movements. Getting to know how Future Scholar'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 Future Scholar may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| GAFAX | Asg Global Alternatives | 0.00 | 0 per month | 0.30 | 0 | 0.79 | (0.61) | 2.02 | |
| TINCX | Templeton Global Balanced | 0.00 | 0 per month | 0.29 | 0.10 | 0.73 | (0.72) | 2.40 | |
| MGKAX | Morgan Stanley Global | 36.65 | 3 per month | 0.79 | 0.11 | 1.80 | (2.11) | 27.32 | |
| MSTGX | Morningstar Global Income | 0.00 | 0 per month | 0.14 | (0.04) | 0.51 | (0.50) | 1.40 | |
| ZGFIX | Investec Global Franchise | 0.00 | 0 per month | 0.37 | 0.08 | 1.24 | (0.88) | 10.50 | |
| HLGZX | Harding Loevner Global | (0.20) | 1 per month | 0.00 | 0.11 | 1.17 | (1.22) | 27.85 |
Other Forecasting Options for Future Scholar
For every potential investor in Future, whether a beginner or expert, Future Scholar's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Future Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Future. Basic forecasting techniques help filter out the noise by identifying Future Scholar's price trends.Future Scholar 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 Future Scholar mutual fund to make a market-neutral strategy. Peer analysis of Future Scholar could also be used in its relative valuation, which is a method of valuing Future Scholar by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Future Scholar Market Strength Events
Market strength indicators help investors to evaluate how Future Scholar 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 Future Scholar shares will generate the highest return on investment. By undertsting and applying Future Scholar mutual fund market strength indicators, traders can identify Future Scholar 529 entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 12.29 | |||
| Day Typical Price | 12.29 | |||
| Price Action Indicator | 0.005 | |||
| Period Momentum Indicator | 0.01 |
Future Scholar Risk Indicators
The analysis of Future Scholar'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 Future Scholar's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting future mutual fund 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 | 0.0722 | |||
| Semi Deviation | 0.0178 | |||
| Standard Deviation | 0.0911 | |||
| Variance | 0.0083 | |||
| Downside Variance | 0.0149 | |||
| Semi Variance | 3.0E-4 | |||
| Expected Short fall | (0.09) |
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 Future Scholar
The number of cover stories for Future Scholar depends on current market conditions and Future Scholar's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Future Scholar 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 Future Scholar'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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Other Information on Investing in Future Mutual Fund
Future Scholar financial ratios help investors to determine whether Future Mutual Fund 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 Future with respect to the benefits of owning Future Scholar security.
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