SPDR Portfolio Etf Forecast - Triple Exponential Smoothing

SPIB -- USA Etf  

USD 36.64  0.09  0.25%

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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Triple exponential smoothing for SPDR Portfolio - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When SPDR Portfolio 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 trend in SPDR Portfolio price movement. However, neither of these exponential smoothing models address any seasonality of SPDR Portfolio Inter.

SPDR Portfolio Triple Exponential Smoothing Price Forecast For the 15th of July 2020

Given 30 days horizon, the forecasted value of SPDR Portfolio Intermediate on the next trading day is expected to be  36.64  with a mean absolute deviation of  0.07 , mean absolute percentage error of  0.007784 , and the sum of the absolute errors of  3.89 

SPDR Portfolio Etf Forecast Pattern

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SPDR Portfolio Forecasted Value

Market Value
14th of July 2020
Expected Value

Model Predictive Factors

AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors -0.0133
MADMean absolute deviation0.0659
MAPEMean absolute percentage error0.0018
SAESum of the absolute errors3.8869
As with simple exponential smoothing, in triple exponential smoothing models past SPDR Portfolio observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older SPDR Portfolio Intermediate 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.
LowEstimated ValueHigh
LowReal ValueHigh
Band Projection (param)
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Other Forecasting Options for SPDR Portfolio

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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 Content Syndication module to quickly integrate customizable finance content to your own investment portal.
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