Guggenheim Energy Mutual Fund Forecast - Naive Prediction

XGEIXDelisted Fund  USD 613.36  0.00  0.00%   
The Naive Prediction forecasted value of Guggenheim Energy Income on the next trading day is expected to be 615.71 with a mean absolute deviation of 0.91 and the sum of the absolute errors of 55.37. Guggenheim Mutual Fund Forecast is based on your current time horizon.
  
A naive forecasting model for Guggenheim Energy is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Guggenheim Energy Income value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Guggenheim Energy Naive Prediction Price Forecast For the 18th of December 2024

Given 90 days horizon, the Naive Prediction forecasted value of Guggenheim Energy Income on the next trading day is expected to be 615.71 with a mean absolute deviation of 0.91, mean absolute percentage error of 1.48, and the sum of the absolute errors of 55.37.
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 Energy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Guggenheim Energy Mutual Fund Forecast Pattern

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Guggenheim Energy mutual fund data series using in forecasting. Note that when a statistical model is used to represent Guggenheim Energy 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 Criteria118.4995
BiasArithmetic mean of the errors None
MADMean absolute deviation0.9077
MAPEMean absolute percentage error0.0015
SAESum of the absolute errors55.3676
This model is not at all useful as a medium-long range forecasting tool of Guggenheim Energy Income. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Guggenheim Energy. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Guggenheim Energy

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 Energy Income. 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.
Hype
Prediction
LowEstimatedHigh
613.36613.36613.36
Details
Intrinsic
Valuation
LowRealHigh
566.44566.44674.70
Details

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

Guggenheim Energy Market Strength Events

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

Guggenheim Energy Risk Indicators

The analysis of Guggenheim Energy'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 Guggenheim Energy's 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.
Check out Your Current Watchlist 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 signals in gross domestic product.
You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.

Other Consideration for investing in Guggenheim Mutual Fund

If you are still planning to invest in Guggenheim Energy Income 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 Guggenheim Energy's history and understand the potential risks before investing.
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