Fidelity 500 Mutual Fund Forecast - Simple Regression

FXAIX Fund  USD 174.04  1.50  0.87%   
The Simple Regression forecasted value of Fidelity 500 Index on the next trading day is expected to be 180.76 with a mean absolute deviation of  2.35  and the sum of the absolute errors of 145.68. Fidelity Mutual Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Fidelity 500 stock prices and determine the direction of Fidelity 500 Index's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Fidelity 500's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Fidelity 500 to cross-verify your projections.
  
Most investors in Fidelity 500 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 500's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Fidelity 500's price structures and extracts relationships that further increase the generated results' accuracy.
Simple Regression model is a single variable regression model that attempts to put a straight line through Fidelity 500 price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Fidelity 500 Simple Regression Price Forecast For the 24th of April

Given 90 days horizon, the Simple Regression forecasted value of Fidelity 500 Index on the next trading day is expected to be 180.76 with a mean absolute deviation of 2.35, mean absolute percentage error of 8.52, and the sum of the absolute errors of 145.68.
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 500's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Fidelity 500 Mutual Fund Forecast Pattern

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Fidelity 500 Forecasted Value

In the context of forecasting Fidelity 500'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 500's downside and upside margins for the forecasting period are 180.02 and 181.50, respectively. We have considered Fidelity 500'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
174.04
180.02
Downside
180.76
Expected Value
181.50
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Fidelity 500 mutual fund data series using in forecasting. Note that when a statistical model is used to represent Fidelity 500 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 Criteria122.0903
BiasArithmetic mean of the errors None
MADMean absolute deviation2.3497
MAPEMean absolute percentage error0.0133
SAESum of the absolute errors145.6817
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Fidelity 500 Index historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Fidelity 500

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 500 Index. 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 500'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
173.30174.03174.76
Details
Intrinsic
Valuation
LowRealHigh
173.57174.30175.03
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Fidelity 500. Your research has to be compared to or analyzed against Fidelity 500's peers to derive any actionable benefits. When done correctly, Fidelity 500'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 500 Index.

Other Forecasting Options for Fidelity 500

For every potential investor in Fidelity, whether a beginner or expert, Fidelity 500'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 500's price trends.

Fidelity 500 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 500 mutual fund to make a market-neutral strategy. Peer analysis of Fidelity 500 could also be used in its relative valuation, which is a method of valuing Fidelity 500 by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Fidelity 500 Index 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 500'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 500's current price.

Fidelity 500 Market Strength Events

Market strength indicators help investors to evaluate how Fidelity 500 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 500 shares will generate the highest return on investment. By undertsting and applying Fidelity 500 mutual fund market strength indicators, traders can identify Fidelity 500 Index entry and exit signals to maximize returns.

Fidelity 500 Risk Indicators

The analysis of Fidelity 500'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 500'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 500 to cross-verify your projections.
You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Please note, there is a significant difference between Fidelity 500's value and its price as these two are different measures arrived at by different means. Investors typically determine if Fidelity 500 is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fidelity 500'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.