Singaraja Putra Stock Forecast - Polynomial Regression

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

Singaraja Putra Polynomial Regression Price Forecast For the 3rd of December

Given 90 days horizon, the Polynomial Regression forecasted value of Singaraja Putra on the next trading day is expected to be 3,513 with a mean absolute deviation of 427.79, mean absolute percentage error of 280,297, and the sum of the absolute errors of 26,095.

Singaraja Putra Stock Forecast Pattern

Backtest Singaraja Putra

Singaraja Putra Price Prediction

Buy or Sell Advice

Singaraja Putra 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 Singaraja Putra stock data series using in forecasting. Note that when a statistical model is used to represent Singaraja Putra 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 Singaraja Putra 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 Singaraja Putra

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Singaraja Putra. 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 4,493 4,500 4,507 Details

Intrinsic Valuation Low Real High 3,437 3,444 4,950 Details

Bollinger Band Projection (param) Low Middle High 3,414 4,670 5,926 Details

Other Forecasting Options for Singaraja Putra

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

Singaraja Putra Related Equities

Risk & Return

Correlation

Singaraja Putra 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 Singaraja Putra'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 Singaraja Putra's current price.

Singaraja Putra Market Strength Events

Singaraja Putra Risk Indicators

Other Information on Investing in Singaraja Stock