Focused Dynamic Mutual Fund Forecast - Double Exponential Smoothing
| ACFNX Fund | USD 82.67 0.37 0.45% |
The Double Exponential Smoothing forecasted value of Focused Dynamic Growth on the next trading day is expected to be 82.77 with a mean absolute deviation of 0.86 and the sum of the absolute errors of 50.86. Focused Mutual Fund Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Focused Dynamic's share price is below 20 . This suggests 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 Focused Dynamic hype-based prediction, you can estimate the value of Focused Dynamic Growth from the perspective of Focused Dynamic response to recently generated media hype and the effects of current headlines on its competitors.
The Double Exponential Smoothing forecasted value of Focused Dynamic Growth on the next trading day is expected to be 82.77 with a mean absolute deviation of 0.86 and the sum of the absolute errors of 50.86. Focused Dynamic after-hype prediction price | USD 82.67 |
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.
Focused |
Focused Dynamic Additional Predictive Modules
Most predictive techniques to examine Focused price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Focused using various technical indicators. When you analyze Focused 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 |
Focused Dynamic Double Exponential Smoothing Price Forecast For the 24th of January
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Focused Dynamic Growth on the next trading day is expected to be 82.77 with a mean absolute deviation of 0.86, mean absolute percentage error of 1.70, and the sum of the absolute errors of 50.86.Please note that although there have been many attempts to predict Focused 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 Focused Dynamic's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Focused Dynamic Mutual Fund Forecast Pattern
| Backtest Focused Dynamic | Focused Dynamic Price Prediction | Buy or Sell Advice |
Focused Dynamic Forecasted Value
In the context of forecasting Focused Dynamic'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. Focused Dynamic's downside and upside margins for the forecasting period are 81.13 and 84.42, respectively. We have considered Focused Dynamic'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 Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Focused Dynamic mutual fund data series using in forecasting. Note that when a statistical model is used to represent Focused Dynamic 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 | Huge |
| Bias | Arithmetic mean of the errors | 0.1873 |
| MAD | Mean absolute deviation | 0.862 |
| MAPE | Mean absolute percentage error | 0.0111 |
| SAE | Sum of the absolute errors | 50.8588 |
Predictive Modules for Focused Dynamic
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Focused Dynamic Growth. 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.Focused Dynamic After-Hype Price Prediction Density Analysis
As far as predicting the price of Focused Dynamic 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 Focused Dynamic 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 Focused Dynamic, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Focused Dynamic Estimiated After-Hype Price Volatility
In the context of predicting Focused Dynamic's mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Focused Dynamic's historical news coverage. Focused Dynamic's after-hype downside and upside margins for the prediction period are 81.03 and 84.31, respectively. We have considered Focused Dynamic'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
Focused Dynamic is very steady at this time. Analysis and calculation of next after-hype price of Focused Dynamic Growth is based on 3 months time horizon.
Focused Dynamic Mutual Fund Price Prediction Analysis
Have you ever been surprised when a price of a Mutual Fund such as Focused Dynamic is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Focused Dynamic 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 Focused Dynamic, 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 |
0.15 | 1.64 | 0.00 | 0.00 | 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 | ||
82.67 | 82.67 | 0.00 |
|
Focused Dynamic Hype Timeline
Focused Dynamic Growth is presently traded for 82.67. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Focused 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 presently at 0.15%. %. The volatility of related hype on Focused Dynamic is about 16400.0%, with the expected price after the next announcement by competition of 82.67. The company had not issued any dividends in recent years. Assuming the 90 days horizon the next estimated press release will be in 5 to 10 days. Check out Historical Fundamental Analysis of Focused Dynamic to cross-verify your projections.Focused Dynamic Related Hype Analysis
Having access to credible news sources related to Focused Dynamic's direct competition is more important than ever and may enhance your ability to predict Focused Dynamic's future price movements. Getting to know how Focused Dynamic'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 Focused Dynamic may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| TWSMX | Strategic Allocation Moderate | 0.00 | 0 per month | 0.28 | 0.06 | 0.95 | (0.78) | 6.76 | |
| SRJIX | Jpmorgan Smartretirement 2035 | 0.00 | 0 per month | 0.35 | 0.02 | 0.83 | (0.73) | 4.59 | |
| RRTBX | Trowe Price Retirement | 0.00 | 1 per month | 0.10 | 0.03 | 0.66 | (0.54) | 4.51 | |
| JTSQX | Jp Morgan Smartretirement | 0.00 | 0 per month | 0.51 | 0.04 | 1.05 | (1.00) | 4.95 | |
| SAWMX | Sa Worldwide Moderate | 0.00 | 0 per month | 0.00 | 0.12 | 0.70 | (0.59) | 4.02 | |
| TSMLX | Tiaa Cref Lifestyle Moderate | 0.11 | 1 per month | 0.25 | 0.05 | 0.75 | (0.73) | 5.89 | |
| SXMAX | Saat Moderate Strategy | (0.04) | 2 per month | 0.00 | 0.09 | 0.69 | (0.50) | 13.41 |
Other Forecasting Options for Focused Dynamic
For every potential investor in Focused, whether a beginner or expert, Focused Dynamic's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Focused Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Focused. Basic forecasting techniques help filter out the noise by identifying Focused Dynamic's price trends.Focused Dynamic 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 Focused Dynamic mutual fund to make a market-neutral strategy. Peer analysis of Focused Dynamic could also be used in its relative valuation, which is a method of valuing Focused Dynamic by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Focused Dynamic Market Strength Events
Market strength indicators help investors to evaluate how Focused Dynamic 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 Focused Dynamic shares will generate the highest return on investment. By undertsting and applying Focused Dynamic mutual fund market strength indicators, traders can identify Focused Dynamic Growth entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 82.67 | |||
| Day Typical Price | 82.67 | |||
| Price Action Indicator | 0.19 | |||
| Period Momentum Indicator | 0.37 |
Focused Dynamic Risk Indicators
The analysis of Focused Dynamic'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 Focused Dynamic's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting focused 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 | 1.03 | |||
| Semi Deviation | 1.15 | |||
| Standard Deviation | 1.64 | |||
| Variance | 2.7 | |||
| Downside Variance | 1.98 | |||
| Semi Variance | 1.33 | |||
| Expected Short fall | (1.04) |
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 Focused Dynamic
The number of cover stories for Focused Dynamic depends on current market conditions and Focused Dynamic's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Focused Dynamic 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 Focused Dynamic'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
Story Categories
Currently Trending Categories
Other Information on Investing in Focused Mutual Fund
Focused Dynamic financial ratios help investors to determine whether Focused 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 Focused with respect to the benefits of owning Focused Dynamic security.
| Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon |