Keck Seng Polynomial Regression

KCKSF -- USA Stock  

USD 0.58  0.00  0.00%

Investors can use this prediction interface to forecast Keck Seng historic prices and determine the direction of Keck Seng Inv Hong K future trends based on various well-known forecasting models. However looking at historical price movement exclusively is usually misleading. Macroaxis recommends to always use this module together with analysis of Keck Seng historical fundamentals such as revenue growth or operating cash flow patterns. Please see also Historical Fundamental Analysis of Keck Seng to cross-verify your projections.
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Horizon     30 Days    Login   to change
Keck Seng polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Keck Seng Inv Hong K as well as the accuracy indicators are determined from the period prices.
Given 30 days horizon, the value of Keck Seng Inv Hong K on the next trading day is expected to be 0.575277

Keck Seng Inv Prediction Pattern

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Keck Seng Forecasted Value

November 11, 2019
0.58
Market Value
0.0058
Downside
0.58
Expected Value
3.26
Upside

Model Predictive Factors

AICAkaike Information Criteria108.5234
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0062
MAPEMean absolute percentage error0.0104
SAESum of the absolute errors0.3783
A single variable polynomial regression model attempts to put a curve through the Keck Seng 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

Volatility Measures

Keck Seng Risk Indicators

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