Saat Servative Mutual Fund Forecast - 4 Period Moving Average

SMGAX Fund  USD 12.76  0.01  0.08%   
The 4 Period Moving Average forecasted value of Saat Servative Strategy on the next trading day is expected to be 12.78 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 2.78. Saat Mutual Fund Forecast is based on your current time horizon.
  
A four-period moving average forecast model for Saat Servative Strategy 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.

Saat Servative 4 Period Moving Average Price Forecast For the 13th of December 2024

Given 90 days horizon, the 4 Period Moving Average forecasted value of Saat Servative Strategy on the next trading day is expected to be 12.78 with a mean absolute deviation of 0.05, mean absolute percentage error of 0, and the sum of the absolute errors of 2.78.
Please note that although there have been many attempts to predict Saat 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 Saat Servative's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Saat Servative Mutual Fund Forecast Pattern

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Saat Servative Forecasted Value

In the context of forecasting Saat Servative'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. Saat Servative's downside and upside margins for the forecasting period are 12.49 and 13.06, respectively. We have considered Saat Servative'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
12.76
12.78
Expected Value
13.06
Upside

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 Saat Servative mutual fund data series using in forecasting. Note that when a statistical model is used to represent Saat Servative 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 Criteria106.9861
BiasArithmetic mean of the errors -0.0099
MADMean absolute deviation0.048
MAPEMean absolute percentage error0.0038
SAESum of the absolute errors2.7825
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 Saat Servative. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Saat Servative Strategy and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Saat Servative

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Saat Servative Strategy. 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
12.5212.8113.10
Details
Intrinsic
Valuation
LowRealHigh
12.4912.7813.07
Details
Bollinger
Band Projection (param)
LowMiddleHigh
12.7212.8412.95
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Saat Servative. Your research has to be compared to or analyzed against Saat Servative's peers to derive any actionable benefits. When done correctly, Saat Servative's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Saat Servative Strategy.

Other Forecasting Options for Saat Servative

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

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

Saat Servative Strategy 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 Saat Servative'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 Saat Servative's current price.

Saat Servative Market Strength Events

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

Saat Servative Risk Indicators

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

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