FIRSTRAND ADR Stock Forecast - Polynomial Regression

FIRSTRAND ADR Additional Predictive Modules

Most predictive techniques to examine FIRSTRAND price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for FIRSTRAND using various technical indicators. When you analyze FIRSTRAND charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur. FIRSTRAND ADR polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for FIRSTRAND ADR 10 as well as the accuracy indicators are determined from the period prices.

FIRSTRAND ADR Polynomial Regression Price Forecast For the 12th of January 2026

Given 90 days horizon, the Polynomial Regression forecasted value of FIRSTRAND ADR 10 on the next trading day is expected to be 47.43 with a mean absolute deviation of 0.56, mean absolute percentage error of 0.48, and the sum of the absolute errors of 34.29.

FIRSTRAND ADR Stock Forecast Pattern

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

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as FIRSTRAND ADR 10. 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.

Other Forecasting Options for FIRSTRAND ADR

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

FIRSTRAND ADR Related Equities

Risk & Return

Correlation

FIRSTRAND ADR 10 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 FIRSTRAND ADR'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 FIRSTRAND ADR's current price.

FIRSTRAND ADR Market Strength Events

FIRSTRAND ADR Risk Indicators

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