Ivy Energy Mutual Fund Forecast - Naive Prediction

IVEIX Fund  USD 11.74  0.03  0.26%   
The Naive Prediction forecasted value of Ivy Energy Fund on the next trading day is expected to be 11.80 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 5.14. Ivy Mutual Fund Forecast is based on your current time horizon.
The relative strength index (RSI) of Ivy Energy's mutual fund price is slightly above 66. This usually indicates that the mutual fund is rather overbought by investors at this time. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Ivy, making its price go up or down.

Momentum 66

 Buy Stretched

 
Oversold
 
Overbought
The successful prediction of Ivy Energy's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Ivy Energy Fund, which may create opportunities for some arbitrage if properly timed.
Using Ivy Energy hype-based prediction, you can estimate the value of Ivy Energy Fund from the perspective of Ivy Energy response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Ivy Energy Fund on the next trading day is expected to be 11.80 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 5.14.

Ivy Energy after-hype prediction price

    
  USD 11.74  
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.
  
Check out Historical Fundamental Analysis of Ivy Energy to cross-verify your projections.

Ivy Energy Additional Predictive Modules

Most predictive techniques to examine Ivy price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Ivy using various technical indicators. When you analyze Ivy 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.
A naive forecasting model for Ivy Energy is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Ivy Energy Fund 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.

Ivy Energy Naive Prediction Price Forecast For the 7th of January

Given 90 days horizon, the Naive Prediction forecasted value of Ivy Energy Fund on the next trading day is expected to be 11.80 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.01, and the sum of the absolute errors of 5.14.
Please note that although there have been many attempts to predict Ivy 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 Ivy Energy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Ivy Energy Mutual Fund Forecast Pattern

Backtest Ivy EnergyIvy Energy Price PredictionBuy or Sell Advice 

Ivy Energy Forecasted Value

In the context of forecasting Ivy Energy'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. Ivy Energy's downside and upside margins for the forecasting period are 10.96 and 12.63, respectively. We have considered Ivy Energy'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.
Market Value
11.74
11.80
Expected Value
12.63
Upside

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 Ivy Energy mutual fund data series using in forecasting. Note that when a statistical model is used to represent Ivy 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 Criteria113.5911
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0842
MAPEMean absolute percentage error0.0077
SAESum of the absolute errors5.1372
This model is not at all useful as a medium-long range forecasting tool of Ivy Energy Fund. 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 Ivy 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 Ivy 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 Ivy Energy 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.
Hype
Prediction
LowEstimatedHigh
10.9311.7412.55
Details
Intrinsic
Valuation
LowRealHigh
11.1811.9912.80
Details
Bollinger
Band Projection (param)
LowMiddleHigh
11.4711.6611.85
Details

Other Forecasting Options for Ivy Energy

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

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

Ivy Energy 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 Ivy Energy'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 Ivy Energy's current price.

Ivy Energy Market Strength Events

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

Ivy Energy Risk Indicators

The analysis of Ivy 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 Ivy Energy's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ivy 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 Ivy Mutual Fund

Ivy Energy financial ratios help investors to determine whether Ivy 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 Ivy with respect to the benefits of owning Ivy Energy security.
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