Alger Dynamic Mutual Fund Forecast - 4 Period Moving Average

ADOCX Fund  USD 14.48  0.00  0.00%   
The 4 Period Moving Average forecasted value of Alger Dynamic Opportunities on the next trading day is expected to be 14.53 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 4.31. Alger Mutual Fund Forecast is based on your current time horizon.
  
Most investors in Alger Dynamic cannot accurately predict what will happen the next trading day because, historically, fund markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Alger Dynamic's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Alger Dynamic's price structures and extracts relationships that further increase the generated results' accuracy.
A four-period moving average forecast model for Alger Dynamic Opportunities is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Alger Dynamic 4 Period Moving Average Price Forecast For the 17th of June 2024

Given 90 days horizon, the 4 Period Moving Average forecasted value of Alger Dynamic Opportunities on the next trading day is expected to be 14.53 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.31.
Please note that although there have been many attempts to predict Alger 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 Alger Dynamic's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Alger Dynamic Mutual Fund Forecast Pattern

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Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Alger Dynamic mutual fund data series using in forecasting. Note that when a statistical model is used to represent Alger 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.
AICAkaike Information Criteria106.0835
BiasArithmetic mean of the errors 0.0081
MADMean absolute deviation0.0757
MAPEMean absolute percentage error0.0051
SAESum of the absolute errors4.315
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Alger Dynamic. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Alger Dynamic Opportunities and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Alger 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 Alger Dynamic Opport. 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 Alger Dynamic's 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
14.4814.4814.48
Details
Intrinsic
Valuation
LowRealHigh
14.2514.2515.93
Details
Bollinger
Band Projection (param)
LowMiddleHigh
14.3814.6614.93
Details

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

Alger Dynamic Market Strength Events

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

Alger Dynamic Risk Indicators

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

Alger Dynamic financial ratios help investors to determine whether Alger 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 Alger with respect to the benefits of owning Alger Dynamic security.
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