Guggenheim Styleplus Mutual Fund Forecast - 20 Period Moving Average

SECEX Fund  USD 26.07  0.01  0.04%   
The 20 Period Moving Average forecasted value of Guggenheim Styleplus on the next trading day is expected to be 25.72 with a mean absolute deviation of 0.39 and the sum of the absolute errors of 16.04. Guggenheim Mutual Fund Forecast is based on your current time horizon.
  
A commonly used 20-period moving average forecast model for Guggenheim Styleplus is based on a synthetically constructed Guggenheim Styleplusdaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Guggenheim Styleplus 20 Period Moving Average Price Forecast For the 5th of December

Given 90 days horizon, the 20 Period Moving Average forecasted value of Guggenheim Styleplus on the next trading day is expected to be 25.72 with a mean absolute deviation of 0.39, mean absolute percentage error of 0.19, and the sum of the absolute errors of 16.04.
Please note that although there have been many attempts to predict Guggenheim 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 Guggenheim Styleplus' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Guggenheim Styleplus Mutual Fund Forecast Pattern

Backtest Guggenheim StyleplusGuggenheim Styleplus Price PredictionBuy or Sell Advice 

Guggenheim Styleplus Forecasted Value

In the context of forecasting Guggenheim Styleplus' 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. Guggenheim Styleplus' downside and upside margins for the forecasting period are 25.00 and 26.43, respectively. We have considered Guggenheim Styleplus' 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.
Market Value
26.07
25.72
Expected Value
26.43
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Guggenheim Styleplus mutual fund data series using in forecasting. Note that when a statistical model is used to represent Guggenheim Styleplus 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.
AICAkaike Information Criteria79.7116
BiasArithmetic mean of the errors -0.3376
MADMean absolute deviation0.3912
MAPEMean absolute percentage error0.0154
SAESum of the absolute errors16.0395
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Guggenheim Styleplus 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Guggenheim Styleplus

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Guggenheim Styleplus. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Guggenheim Styleplus' 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.
Hype
Prediction
LowEstimatedHigh
25.3626.0826.80
Details
Intrinsic
Valuation
LowRealHigh
23.2423.9628.68
Details
Bollinger
Band Projection (param)
LowMiddleHigh
25.4925.7526.01
Details

Other Forecasting Options for Guggenheim Styleplus

For every potential investor in Guggenheim, whether a beginner or expert, Guggenheim Styleplus' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Guggenheim Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Guggenheim. Basic forecasting techniques help filter out the noise by identifying Guggenheim Styleplus' price trends.

Guggenheim Styleplus 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 Guggenheim Styleplus mutual fund to make a market-neutral strategy. Peer analysis of Guggenheim Styleplus could also be used in its relative valuation, which is a method of valuing Guggenheim Styleplus by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Guggenheim Styleplus 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 Guggenheim Styleplus' 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 Guggenheim Styleplus' current price.

Guggenheim Styleplus Market Strength Events

Market strength indicators help investors to evaluate how Guggenheim Styleplus 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 Guggenheim Styleplus shares will generate the highest return on investment. By undertsting and applying Guggenheim Styleplus mutual fund market strength indicators, traders can identify Guggenheim Styleplus entry and exit signals to maximize returns.

Guggenheim Styleplus Risk Indicators

The analysis of Guggenheim Styleplus' 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 Guggenheim Styleplus' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting guggenheim 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.
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.

Other Information on Investing in Guggenheim Mutual Fund

Guggenheim Styleplus financial ratios help investors to determine whether Guggenheim 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 Guggenheim with respect to the benefits of owning Guggenheim Styleplus security.
Bollinger Bands
Use Bollinger Bands indicator to analyze target price for a given investing horizon
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