Al Frank Mutual Fund Forecast - Triple Exponential Smoothing
| VALAX Fund | USD 29.62 0.39 1.33% |
The Triple Exponential Smoothing forecasted value of Al Frank Fund on the next trading day is expected to be 29.70 with a mean absolute deviation of 0.24 and the sum of the absolute errors of 14.01. VALAX Mutual Fund Forecast is based on your current time horizon.
At this time The relative strength index (RSI) of Al Frank's share price is above 80 . This entails that the mutual fund is significantly overbought by investors. 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 85
Buy Peaked
Oversold | Overbought |
Using Al Frank hype-based prediction, you can estimate the value of Al Frank Fund from the perspective of Al Frank response to recently generated media hype and the effects of current headlines on its competitors.
The Triple Exponential Smoothing forecasted value of Al Frank Fund on the next trading day is expected to be 29.70 with a mean absolute deviation of 0.24 and the sum of the absolute errors of 14.01. Al Frank after-hype prediction price | USD 29.62 |
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.
VALAX |
Al Frank Additional Predictive Modules
Most predictive techniques to examine VALAX price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for VALAX using various technical indicators. When you analyze VALAX 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 |
Al Frank Triple Exponential Smoothing Price Forecast For the 6th of January
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Al Frank Fund on the next trading day is expected to be 29.70 with a mean absolute deviation of 0.24, mean absolute percentage error of 0.15, and the sum of the absolute errors of 14.01.Please note that although there have been many attempts to predict VALAX 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 Al Frank's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Al Frank Mutual Fund Forecast Pattern
| Backtest Al Frank | Al Frank Price Prediction | Buy or Sell Advice |
Al Frank Forecasted Value
In the context of forecasting Al Frank'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. Al Frank's downside and upside margins for the forecasting period are 28.31 and 31.09, respectively. We have considered Al Frank'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 Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Al Frank mutual fund data series using in forecasting. Note that when a statistical model is used to represent Al Frank 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 | -0.0526 |
| MAD | Mean absolute deviation | 0.2374 |
| MAPE | Mean absolute percentage error | 0.0088 |
| SAE | Sum of the absolute errors | 14.0081 |
Predictive Modules for Al Frank
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Al Frank Fund. 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.Other Forecasting Options for Al Frank
For every potential investor in VALAX, whether a beginner or expert, Al Frank's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. VALAX Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in VALAX. Basic forecasting techniques help filter out the noise by identifying Al Frank's price trends.Al Frank 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 Al Frank mutual fund to make a market-neutral strategy. Peer analysis of Al Frank could also be used in its relative valuation, which is a method of valuing Al Frank by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Al Frank Fund Technical and Predictive Analytics
The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Al Frank's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Al Frank's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Al Frank Market Strength Events
Market strength indicators help investors to evaluate how Al Frank 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 Al Frank shares will generate the highest return on investment. By undertsting and applying Al Frank mutual fund market strength indicators, traders can identify Al Frank Fund entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 29.62 | |||
| Day Typical Price | 29.62 | |||
| Price Action Indicator | 0.2 | |||
| Period Momentum Indicator | 0.39 | |||
| Relative Strength Index | 85.44 |
Al Frank Risk Indicators
The analysis of Al Frank'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 Al Frank's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting valax 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 | 0.8052 | |||
| Semi Deviation | 0.6373 | |||
| Standard Deviation | 1.39 | |||
| Variance | 1.93 | |||
| Downside Variance | 0.9967 | |||
| Semi Variance | 0.4061 | |||
| Expected Short fall | (0.92) |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.| JBL | Jabil Circuit | |
| MRK | Merck Company | |
| AMGN | Amgen Inc |
Other Information on Investing in VALAX Mutual Fund
Al Frank financial ratios help investors to determine whether VALAX 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 VALAX with respect to the benefits of owning Al Frank security.
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