Citigroup Polynomial Regression

C -- USA Stock  

USD 67.63  1.23  1.79%

Investors can use this prediction interface to forecast Citigroup historic prices and determine the direction of Citigroup 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 Citigroup historical fundamentals such as revenue growth or operating cash flow patterns. Although naive historical forecasting may sometimes provide an important future outlook for the firm we recommend to always cross-verify it against solid analysis of Citigroup systematic risks associated with finding meaningful patterns of Citigroup fundamentals over time. Check also Historical Fundamental Analysis of Citigroup to cross-verify your projections.
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Horizon     30 Days    Login   to change
Citigroup polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Citigroup as well as the accuracy indicators are determined from the period prices.
Given 30 days horizon, the value of Citigroup on the next trading day is expected to be 69.117353

Citigroup Prediction Pattern

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Citigroup Forecasted Value

October 22, 2018
67.63
Market Value
69.12
Next Trading Day Expected Value
Target Odds
  
73.79
Upside

Model Predictive Factors

AICAkaike Information Criteria37.1726
BiasArithmetic mean of the errors None
MADMean absolute deviation0.678
MAPEMean absolute percentage error0.0098
SAESum of the absolute errors11.5252
A single variable polynomial regression model attempts to put a curve through the Citigroup 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
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