Mitrabahtera Segara Stock Forecast - Polynomial Regression

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

Mitrabahtera Segara Polynomial Regression Price Forecast For the 26th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Mitrabahtera Segara Sejati on the next trading day is expected to be 983.76 with a mean absolute deviation of 66.09, mean absolute percentage error of 6,301, and the sum of the absolute errors of 4,031.

Mitrabahtera Segara Stock Forecast Pattern

Backtest Mitrabahtera Segara

Mitrabahtera Segara Price Prediction

Buy or Sell Advice

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

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Mitrabahtera Segara. 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 1,062 1,065 1,068 Details

Intrinsic Valuation Low Real High 954.03 956.55 1,172 Details

Bollinger Band Projection (param) Low Middle High 1,056 1,070 1,084 Details

Other Forecasting Options for Mitrabahtera Segara

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

Mitrabahtera Segara Related Equities

Risk & Return

Correlation

Mitrabahtera Segara 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 Mitrabahtera Segara'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 Mitrabahtera Segara's current price.

Mitrabahtera Segara Market Strength Events

Mitrabahtera Segara Risk Indicators

Other Information on Investing in Mitrabahtera Stock