Fidelity Extended Mutual Fund Forecast - 4 Period Moving Average

FSMAX Fund  USD 98.69  0.61  0.62%   
The 4 Period Moving Average forecasted value of Fidelity Extended Market on the next trading day is expected to be 98.23 with a mean absolute deviation of 1.26 and the sum of the absolute errors of 72.04. Fidelity Mutual Fund Forecast is based on your current time horizon.
  
A four-period moving average forecast model for Fidelity Extended Market 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.

Fidelity Extended 4 Period Moving Average Price Forecast For the 28th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Fidelity Extended Market on the next trading day is expected to be 98.23 with a mean absolute deviation of 1.26, mean absolute percentage error of 2.82, and the sum of the absolute errors of 72.04.
Please note that although there have been many attempts to predict Fidelity 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 Fidelity Extended's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Fidelity Extended Mutual Fund Forecast Pattern

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Fidelity Extended Forecasted Value

In the context of forecasting Fidelity Extended'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. Fidelity Extended's downside and upside margins for the forecasting period are 97.11 and 99.35, respectively. We have considered Fidelity Extended'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
98.69
98.23
Expected Value
99.35
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 Fidelity Extended mutual fund data series using in forecasting. Note that when a statistical model is used to represent Fidelity Extended 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 Criteria111.7968
BiasArithmetic mean of the errors -0.7194
MADMean absolute deviation1.2638
MAPEMean absolute percentage error0.0139
SAESum of the absolute errors72.035
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 Fidelity Extended. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Fidelity Extended Market and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Fidelity Extended

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Fidelity Extended Market. 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
97.5798.6999.81
Details
Intrinsic
Valuation
LowRealHigh
88.82103.12104.24
Details
Bollinger
Band Projection (param)
LowMiddleHigh
85.5692.6999.82
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Fidelity Extended. Your research has to be compared to or analyzed against Fidelity Extended's peers to derive any actionable benefits. When done correctly, Fidelity Extended'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 Fidelity Extended Market.

Other Forecasting Options for Fidelity Extended

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

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

Fidelity Extended Market 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 Fidelity Extended'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 Fidelity Extended's current price.

Fidelity Extended Market Strength Events

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

Fidelity Extended Risk Indicators

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

Fidelity Extended financial ratios help investors to determine whether Fidelity 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 Fidelity with respect to the benefits of owning Fidelity Extended security.
Pair Correlation
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