Sentinel Low Mutual Fund Forecast - Double Exponential Smoothing

SSSGX Fund  USD 9.24  0.00  0.00%   
The Double Exponential Smoothing forecasted value of Sentinel Low Duration on the next trading day is expected to be 9.24 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.12. Sentinel 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 Sentinel Low works best with periods where there are trends or seasonality.

Sentinel Low Double Exponential Smoothing Price Forecast For the 1st of December

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Sentinel Low Duration on the next trading day is expected to be 9.24 with a mean absolute deviation of 0, mean absolute percentage error of 0.000051, and the sum of the absolute errors of 0.12.
Please note that although there have been many attempts to predict Sentinel 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 Sentinel Low's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sentinel Low Mutual Fund Forecast Pattern

Backtest Sentinel LowSentinel Low Price PredictionBuy or Sell Advice 

Sentinel Low Forecasted Value

In the context of forecasting Sentinel Low'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. Sentinel Low's downside and upside margins for the forecasting period are 9.16 and 9.32, respectively. We have considered Sentinel Low'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
9.24
9.24
Expected Value
9.32
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 Sentinel Low mutual fund data series using in forecasting. Note that when a statistical model is used to represent Sentinel Low 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 -0.0014
MADMean absolute deviation0.002
MAPEMean absolute percentage error2.0E-4
SAESum of the absolute errors0.12
When Sentinel Low Duration 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 Sentinel Low Duration 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 Sentinel Low observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Sentinel Low

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sentinel Low Duration. 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.
Hype
Prediction
LowEstimatedHigh
9.169.249.32
Details
Intrinsic
Valuation
LowRealHigh
9.159.239.31
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Sentinel Low. Your research has to be compared to or analyzed against Sentinel Low's peers to derive any actionable benefits. When done correctly, Sentinel Low'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 Sentinel Low Duration.

Other Forecasting Options for Sentinel Low

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

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

Sentinel Low Duration 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 Sentinel Low'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 Sentinel Low's current price.

Sentinel Low Market Strength Events

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

Sentinel Low Risk Indicators

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

Sentinel Low financial ratios help investors to determine whether Sentinel 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 Sentinel with respect to the benefits of owning Sentinel Low security.
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