Emerging Growth Mutual Fund Forecast - Simple Moving Average
| WFGDX Fund | USD 10.10 0.17 1.66% |
The Simple Moving Average forecasted value of Emerging Growth Fund on the next trading day is expected to be 10.10 with a mean absolute deviation of 0.12 and the sum of the absolute errors of 7.13. Emerging Mutual Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Emerging Growth stock prices and determine the direction of Emerging Growth Fund's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Emerging Growth's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Emerging Growth to cross-verify your projections. Emerging |
Most investors in Emerging Growth 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 Emerging Growth's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Emerging Growth's price structures and extracts relationships that further increase the generated results' accuracy.
A two period moving average forecast for Emerging Growth is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility. Emerging Growth Simple Moving Average Price Forecast For the 18th of April 2024
Given 90 days horizon, the Simple Moving Average forecasted value of Emerging Growth Fund on the next trading day is expected to be 10.10 with a mean absolute deviation of 0.12, mean absolute percentage error of 0.02, and the sum of the absolute errors of 7.13.Please note that although there have been many attempts to predict Emerging 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 Emerging Growth's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Emerging Growth Mutual Fund Forecast Pattern
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Emerging Growth Forecasted Value
In the context of forecasting Emerging Growth'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. Emerging Growth's downside and upside margins for the forecasting period are 8.83 and 11.37, respectively. We have considered Emerging Growth'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Emerging Growth mutual fund data series using in forecasting. Note that when a statistical model is used to represent Emerging Growth 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.| AIC | Akaike Information Criteria | 110.6036 |
| Bias | Arithmetic mean of the errors | -0.0075 |
| MAD | Mean absolute deviation | 0.1209 |
| MAPE | Mean absolute percentage error | 0.0117 |
| SAE | Sum of the absolute errors | 7.135 |
Predictive Modules for Emerging Growth
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Emerging Growth. 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 Emerging Growth'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.
Other Forecasting Options for Emerging Growth
For every potential investor in Emerging, whether a beginner or expert, Emerging Growth's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Emerging Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Emerging. Basic forecasting techniques help filter out the noise by identifying Emerging Growth's price trends.Emerging Growth 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 Emerging Growth mutual fund to make a market-neutral strategy. Peer analysis of Emerging Growth could also be used in its relative valuation, which is a method of valuing Emerging Growth by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Emerging Growth 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 Emerging Growth'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 Emerging Growth's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Emerging Growth Market Strength Events
Market strength indicators help investors to evaluate how Emerging Growth 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 Emerging Growth shares will generate the highest return on investment. By undertsting and applying Emerging Growth mutual fund market strength indicators, traders can identify Emerging Growth Fund entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 10.1 | |||
| Day Typical Price | 10.1 | |||
| Price Action Indicator | (0.09) | |||
| Period Momentum Indicator | (0.17) | |||
| Relative Strength Index | 56.45 |
Emerging Growth Risk Indicators
The analysis of Emerging Growth'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 Emerging Growth's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting emerging 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.
| Mean Deviation | 0.9849 | |||
| Semi Deviation | 1.24 | |||
| Standard Deviation | 1.24 | |||
| Variance | 1.54 | |||
| Downside Variance | 1.87 | |||
| Semi Variance | 1.53 | |||
| Expected Short fall | (1.02) |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Emerging Growth in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Emerging Growth's short interest history, or implied volatility extrapolated from Emerging Growth options trading.
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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.| LTC | Litecoin | |
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Check out Historical Fundamental Analysis of Emerging Growth to cross-verify your projections. Note that the Emerging Growth information on this page should be used as a complementary analysis to other Emerging Growth'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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.