SPDR Portfolio Etf Forecast - Double Exponential Smoothing

SP
SPIB -- USA Etf  

USD 36.55  0.02  0.05%

SPDR Portfolio Etf Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast SPDR Portfolio historical stock prices and determine the direction of SPDR Portfolio Intermediate's future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of SPDR Portfolio historical fundamentals such as revenue growth or operating cash flow patterns. Additionally, take a look at Historical Fundamental Analysis of SPDR Portfolio to cross-verify your projections.

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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 SPDR Portfolio works best with periods where there are trends or seasonality.

SPDR Portfolio Double Exponential Smoothing Price Forecast For the 7th of July

Given 30 days horizon, the forecasted value of SPDR Portfolio Intermediate on the next trading day is expected to be  36.56  with a mean absolute deviation of  0.1 , mean absolute percentage error of  0.025808 , and the sum of the absolute errors of  5.63 
 36.56 

SPDR Portfolio Etf Forecast Pattern

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SPDR Portfolio Forecasted Value

Market Value
36.55
6th of July 2020
36.56
Expected Value
36.94
Upside

Model Predictive Factors

AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors 0.0222
MADMean absolute deviation0.0954
MAPEMean absolute percentage error0.0027
SAESum of the absolute errors5.6313
When SPDR Portfolio Intermediate 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 SPDR Portfolio Intermediate 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 SPDR Portfolio observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for SPDR Portfolio

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SPDR Portfolio Inter. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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
LowEstimated ValueHigh
36.1736.5536.93
Details
Intrinsic
Valuation
LowReal ValueHigh
35.9236.3036.68
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
36.3536.4736.59
Details

Other Forecasting Options for SPDR Portfolio

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SPDR Portfolio Inter Technical and Predictive Analytics

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Volatility Measures

SPDR Portfolio Risk Indicators

Current Sentiment - SPIB

SPDR Portfolio Inter Investor Sentiment

Macroaxis portfolio users are evenly split in their outlook on investing in SPDR Portfolio Intermediate. What is your outlook on investing in SPDR Portfolio Intermediate? Are you bullish or bearish?
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Additionally, take a look at Historical Fundamental Analysis of SPDR Portfolio to cross-verify your projections. Please also try Fundamental Analysis module to view fundamental data based on most recent published financial statements.
Macroaxis is not a registered investment advisor or broker/dealer. All investments, including stocks, funds, ETFs, or cryptocurrencies, are speculative and involve substantial risk of loss. We encourage our investors to invest carefully. Much of our information is derived directly from data published by companies or submitted to governmental agencies which we believe are reliable, but are without our independent verification. Therefore, we cannot assure you that the information is accurate or complete. We do not in any way warrant or guarantee the success of any action you take in reliance on our statements or recommendations. Also, note that past performance is not necessarily indicative of future results. All investments carry risk, and all investment decisions of an individual remain the responsibility of that individual. There is no guarantee that systems, indicators, or signals will result in profits or that they will not result in losses. All investors are advised to fully understand all risks associated with any investing they choose to do. Hypothetical or simulated performance is not indicative of future results. We make no representations or warranties that any investor will, or is likely to, achieve profits similar to those shown because hypothetical or simulated performance is not necessarily indicative of future results. For more information please visit our terms and condition page