NQTH Index Forecast - Polynomial Regression

NQT
NQTH -- Thailand Index  

 874.58  6.87  0.79%

NQTH Index Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast NQTH historical stock prices and determine the direction of NQTH 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 NQTH historical fundamentals such as revenue growth or operating cash flow patterns. Check out fundamental analysis of NQTH to check your projections.

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

NQTH Polynomial Regression Price Forecast For the 30th of May

Given 30 days horizon, the forecasted value of NQTH on the next trading day is expected to be  801.35  with a mean absolute deviation of  37.79 , mean absolute percentage error of  2,702 , and the sum of the absolute errors of  2,305 
 801.35 

NQTH Index Forecast Pattern

NQTH Forecasted Value

Market Value
874.58
29th of May 2020
795.37
Downside
801.35
Expected Value
807.33
Upside

Model Predictive Factors

AICAkaike Information Criteria126.0123
BiasArithmetic mean of the errors None
MADMean absolute deviation37.7854
MAPEMean absolute percentage error0.0489
SAESum of the absolute errors2304.9071
A single variable polynomial regression model attempts to put a curve through the NQTH 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 NQTH

There are currently many different techniques concerning forecasting the market as a whole as well as predicting future values of individual securities such as NQTH. 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
868.60874.58880.56
Details
Intrinsic
Valuation
LowReal ValueHigh
842.36848.34962.04
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
808.17848.89889.62
Details

Other Forecasting Options for NQTH

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NQTH Technical and Predictive Analytics

NQTH Market Strength Events

Volatility Measures

NQTH Risk Indicators

Current Sentiment - NQTH

NQTH Investor Sentiment

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Check out fundamental analysis of NQTH to check your projections. Please also try CEO Directory module to screen ceos from public companies around the world.
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