Fidelity Flex Mutual Fund Forecast - Simple Regression

FLXSX Fund  USD 19.33  0.08  0.42%   
Fidelity Mutual Fund outlook is based on your current time horizon.
At this time, The relative strength index (RSI) of Fidelity Flex's share price is at 58. This usually indicates that the mutual fund is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Fidelity Flex, making its price go up or down.

Momentum 58

 Buy Extended

 
Oversold
 
Overbought
The successful prediction of Fidelity Flex's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Fidelity Flex Small, which may create opportunities for some arbitrage if properly timed.
Using Fidelity Flex hype-based prediction, you can estimate the value of Fidelity Flex Small from the perspective of Fidelity Flex response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Fidelity Flex Small on the next trading day is expected to be 19.36 with a mean absolute deviation of 0.32 and the sum of the absolute errors of 19.91.

Fidelity Flex after-hype prediction price

    
  USD 19.33  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as fund price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of Fidelity Flex to cross-verify your projections.

Fidelity Flex Additional Predictive Modules

Most predictive techniques to examine Fidelity price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Fidelity using various technical indicators. When you analyze Fidelity charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Simple Regression model is a single variable regression model that attempts to put a straight line through Fidelity Flex 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 Flex Simple Regression Price Forecast For the 29th of January

Given 90 days horizon, the Simple Regression forecasted value of Fidelity Flex Small on the next trading day is expected to be 19.36 with a mean absolute deviation of 0.32, mean absolute percentage error of 0.17, and the sum of the absolute errors of 19.91.
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 Flex's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Fidelity Flex Mutual Fund Forecast Pattern

Backtest Fidelity Flex  Fidelity Flex Price Prediction  Buy or Sell Advice  

Fidelity Flex Forecasted Value

In the context of forecasting Fidelity Flex'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 Flex's downside and upside margins for the forecasting period are 18.13 and 20.59, respectively. We have considered Fidelity Flex'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
19.33
19.36
Expected Value
20.59
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 Flex mutual fund data series using in forecasting. Note that when a statistical model is used to represent Fidelity Flex 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 Criteria118.1801
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3212
MAPEMean absolute percentage error0.018
SAESum of the absolute errors19.9144
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 Flex Small 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 Flex

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 Flex Small. 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 Flex'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
18.1019.3320.56
Details
Intrinsic
Valuation
LowRealHigh
17.7919.0220.25
Details
Bollinger
Band Projection (param)
LowMiddleHigh
17.7618.8719.98
Details

Fidelity Flex After-Hype Price Density Analysis

As far as predicting the price of Fidelity Flex at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Fidelity Flex or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Mutual Fund prices, such as prices of Fidelity Flex, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Fidelity Flex Estimiated After-Hype Price Volatility

In the context of predicting Fidelity Flex's mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Fidelity Flex's historical news coverage. Fidelity Flex's after-hype downside and upside margins for the prediction period are 18.10 and 20.56, respectively. We have considered Fidelity Flex's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
19.33
19.33
After-hype Price
20.56
Upside
Fidelity Flex is very steady at this time. Analysis and calculation of next after-hype price of Fidelity Flex Small is based on 3 months time horizon.

Fidelity Flex Mutual Fund Price Outlook Analysis

Have you ever been surprised when a price of a Mutual Fund such as Fidelity Flex is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Fidelity Flex backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Fund price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Fidelity Flex, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.15 
1.23
 0.00  
  0.29 
0 Events / Month
0 Events / Month
In a few days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
19.33
19.33
0.00 
0.00  
Notes

Fidelity Flex Hype Timeline

Fidelity Flex Small is currently traded for 19.33. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.29. Fidelity is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is projected to be very small, whereas the daily expected return is currently at 0.15%. %. The volatility of related hype on Fidelity Flex is about 62.76%, with the expected price after the next announcement by competition of 19.04. The company last dividend was issued on the 13th of December 1970. Assuming the 90 days horizon the next projected press release will be in a few days.
Check out Historical Fundamental Analysis of Fidelity Flex to cross-verify your projections.

Fidelity Flex Related Hype Analysis

Having access to credible news sources related to Fidelity Flex's direct competition is more important than ever and may enhance your ability to predict Fidelity Flex's future price movements. Getting to know how Fidelity Flex's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Fidelity Flex may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
FLAPXFidelity Flex Mid 0.00 0 per month 0.78  0.05  1.77 (1.29) 3.61 
PRTIXUs Treasury Intermediate 0.00 0 per month 0.15 (0.37) 0.20 (0.20) 0.78 
MCHFXMatthews China Fund 0.00 0 per month 0.00 (0.10) 1.45 (1.67) 4.63 
RPTFXT Rowe Price 0.00 0 per month 0.53  0.01  0.97 (0.96) 2.40 
FFBSXFidelity Freedom Blend 0.00 0 per month 0.66  0.02  1.03 (1.29) 2.78 
WIIOXWasatch International Opportunities 0.00 0 per month 0.00 (0.15) 1.08 (1.27) 40.83 
HNASXGrowth Fund Growth 0.00 0 per month 1.01  0.05  1.53 (1.83) 16.33 
HJPNXHennessy Japan Fund(19.60)1 per month 1.10  0  2.48 (1.94) 5.68 
WOGSXWhite Oak Select 0.00 0 per month 0.82  0.04  1.44 (1.25) 4.01 
NMIMXColumbia Large Cap 0.00 0 per month 0.62  0.08  1.11 (1.27) 13.58 

Other Forecasting Options for Fidelity Flex

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

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

Fidelity Flex Market Strength Events

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

Fidelity Flex Risk Indicators

The analysis of Fidelity Flex'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 Flex'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.

Story Coverage note for Fidelity Flex

The number of cover stories for Fidelity Flex depends on current market conditions and Fidelity Flex's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Fidelity Flex is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Fidelity Flex's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Other Macroaxis Stories

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