SPDR Portfolio Etf Forecast - Polynomial Regression

SPIB -- USA Etf  

USD 36.07  0.01  0.0277%

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 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.

Search Etf Forecast

SPDR Portfolio polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for SPDR Portfolio Intermediate as well as the accuracy indicators are determined from the period prices.

SPDR Portfolio Polynomial Regression Price Forecast For the 5th of June

Given 30 days horizon, the forecasted value of SPDR Portfolio Intermediate on the next trading day is expected to be  35.55  with a mean absolute deviation of  0.51 , mean absolute percentage error of  0.63 , and the sum of the absolute errors of  30.83 

SPDR Portfolio Etf Forecast Pattern

Backtest SPDR PortfolioSPDR Portfolio Price PredictionBuy or Sell Advice 

SPDR Portfolio Forecasted Value

Market Value
4th of June 2020
Expected Value

Model Predictive Factors

AICAkaike Information Criteria117.6519
BiasArithmetic mean of the errors None
MADMean absolute deviation0.5054
MAPEMean absolute percentage error0.015
SAESum of the absolute errors30.8279
A single variable polynomial regression model attempts to put a curve through the SPDR Portfolio historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

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)
LowerMiddle BandUpper

Other Forecasting Options for SPDR Portfolio

View Currently Related Equities

SPDR Portfolio Inter Technical and Predictive Analytics

SPDR Portfolio Market Strength Events

Volatility Measures

SPDR Portfolio Risk Indicators

Did you try this?

Run Idea Optimizer Now


Idea Optimizer

Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio
All  Next Launch Module

Currently Active Assets on Macroaxis

Purchased few shares of
few hours ago
Traded for 174.99
Purchased few shares of
few hours ago
Traded for 174.99
Purchased over 100 shares of
few hours ago
Traded for 17.63
Purchased few shares of
few hours ago
Traded for 230.16
Purchased a lot of shares of
few hours ago
Traded for 149.39
Additionally, take a look at Historical Fundamental Analysis of SPDR Portfolio to cross-verify your projections. Please also try Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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