Fidelity Total Mutual Fund Forecast - 4 Period Moving Average

FSKAX Fund  USD 137.66  1.21  0.89%   
The 4 Period Moving Average forecasted value of Fidelity Total Market on the next trading day is expected to be 137.32 with a mean absolute deviation of  1.01  and the sum of the absolute errors of 57.81. Fidelity Mutual Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Fidelity Total stock prices and determine the direction of Fidelity Total Market's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Fidelity Total's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Fidelity Total to cross-verify your projections.
  
Most investors in Fidelity Total 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 Fidelity Total's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Fidelity Total's price structures and extracts relationships that further increase the generated results' accuracy.
A four-period moving average forecast model for Fidelity Total 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 Total 4 Period Moving Average Price Forecast For the 24th of April

Given 90 days horizon, the 4 Period Moving Average forecasted value of Fidelity Total Market on the next trading day is expected to be 137.32 with a mean absolute deviation of 1.01, mean absolute percentage error of 1.63, and the sum of the absolute errors of 57.81.
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 Total's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Fidelity Total Mutual Fund Forecast Pattern

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Fidelity Total Forecasted Value

In the context of forecasting Fidelity Total'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 Total's downside and upside margins for the forecasting period are 136.55 and 138.09, respectively. We have considered Fidelity Total'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
137.66
136.55
Downside
137.32
Expected Value
138.09
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 Total mutual fund data series using in forecasting. Note that when a statistical model is used to represent Fidelity Total 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 Criteria111.2489
BiasArithmetic mean of the errors -0.1375
MADMean absolute deviation1.0143
MAPEMean absolute percentage error0.0073
SAESum of the absolute errors57.815
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 Total. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Fidelity Total Market and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Fidelity Total

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 Total 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity Total'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
136.88137.65138.42
Details
Intrinsic
Valuation
LowRealHigh
137.19137.96138.73
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Fidelity Total. Your research has to be compared to or analyzed against Fidelity Total's peers to derive any actionable benefits. When done correctly, Fidelity Total'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 Total Market.

Other Forecasting Options for Fidelity Total

For every potential investor in Fidelity, whether a beginner or expert, Fidelity Total'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 Total's price trends.

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

Fidelity Total 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 Total'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 Total's current price.

Fidelity Total Market Strength Events

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

Fidelity Total Risk Indicators

The analysis of Fidelity Total'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 Total'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.

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Check out Historical Fundamental Analysis of Fidelity Total to cross-verify your projections.
Note that the Fidelity Total Market information on this page should be used as a complementary analysis to other Fidelity Total's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
Please note, there is a significant difference between Fidelity Total's value and its price as these two are different measures arrived at by different means. Investors typically determine if Fidelity Total is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fidelity Total's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.