Science Technology Mutual Fund Forecast - Double Exponential Smoothing

USTCX Fund  USD 29.45  0.26  0.89%   
The Double Exponential Smoothing forecasted value of Science Technology Fund on the next trading day is expected to be 29.49 with a mean absolute deviation of 0.34 and the sum of the absolute errors of 20.14. Science Mutual Fund Forecast is based on your current time horizon.
  
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Science Technology works best with periods where there are trends or seasonality.

Science Technology Double Exponential Smoothing Price Forecast For the 26th of December

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Science Technology Fund on the next trading day is expected to be 29.49 with a mean absolute deviation of 0.34, mean absolute percentage error of 0.18, and the sum of the absolute errors of 20.14.
Please note that although there have been many attempts to predict Science 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 Science Technology's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Science Technology Mutual Fund Forecast Pattern

Backtest Science TechnologyScience Technology Price PredictionBuy or Sell Advice 

Science Technology Forecasted Value

In the context of forecasting Science Technology'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. Science Technology's downside and upside margins for the forecasting period are 28.17 and 30.82, respectively. We have considered Science Technology'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
29.45
29.49
Expected Value
30.82
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Science Technology mutual fund data series using in forecasting. Note that when a statistical model is used to represent Science Technology 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 CriteriaHuge
BiasArithmetic mean of the errors -0.0494
MADMean absolute deviation0.3356
MAPEMean absolute percentage error0.0119
SAESum of the absolute errors20.1359
When Science Technology Fund prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Science Technology Fund trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Science Technology observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Science Technology

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Science Technology. 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 Science Technology'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
28.1229.4530.78
Details
Intrinsic
Valuation
LowRealHigh
28.5329.8631.19
Details

Other Forecasting Options for Science Technology

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

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

Science Technology 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 Science Technology'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 Science Technology's current price.

Science Technology Market Strength Events

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

Science Technology Risk Indicators

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

Science Technology financial ratios help investors to determine whether Science 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 Science with respect to the benefits of owning Science Technology security.
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