Aciselsan Acipayam Stock Forecast - Polynomial Regression

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

Aciselsan Acipayam Polynomial Regression Price Forecast For the 13th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of Aciselsan Acipayam Seluloz on the next trading day is expected to be 124.41 with a mean absolute deviation of 3.19, mean absolute percentage error of 15.37, and the sum of the absolute errors of 197.53.

Aciselsan Acipayam Stock Forecast Pattern

Backtest Aciselsan Acipayam

Aciselsan Acipayam Price Prediction

Buy or Sell Advice

Aciselsan Acipayam Forecasted Value

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Aciselsan Acipayam stock data series using in forecasting. Note that when a statistical model is used to represent Aciselsan Acipayam stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality. A single variable polynomial regression model attempts to put a curve through the Aciselsan Acipayam 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 + ... + a_m*X^m

Predictive Modules for Aciselsan Acipayam

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Aciselsan Acipayam. 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 Low Estimated High 128.16 130.50 132.84 Details

Intrinsic Valuation Low Real High 101.42 103.76 143.55 Details

Bollinger Band Projection (param) Low Middle High 96.77 111.06 125.36 Details

Other Forecasting Options for Aciselsan Acipayam

For every potential investor in Aciselsan, whether a beginner or expert, Aciselsan Acipayam's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Aciselsan Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Aciselsan. Basic forecasting techniques help filter out the noise by identifying Aciselsan Acipayam's price trends.

Aciselsan Acipayam Related Equities

Risk & Return

Correlation

Aciselsan Acipayam Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Aciselsan Acipayam's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Aciselsan Acipayam's current price.

Aciselsan Acipayam Market Strength Events

Aciselsan Acipayam Risk Indicators

Other Information on Investing in Aciselsan Stock