Dycasa SA Stock Forecast - Polynomial Regression

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

Dycasa SA Polynomial Regression Price Forecast For the 29th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Dycasa SA on the next trading day is expected to be 1,016 with a mean absolute deviation of 35.19, mean absolute percentage error of 1,820, and the sum of the absolute errors of 2,181.

Dycasa SA Stock Forecast Pattern

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

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Dycasa SA. 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 965.48 972.00 978.52 Details

Intrinsic Valuation Low Real High 694.25 700.77 1,069 Details

Bollinger Band Projection (param) Low Middle High 961.27 978.50 995.73 Details

Other Forecasting Options for Dycasa SA

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

Dycasa SA Related Equities

Risk & Return

Correlation

Dycasa SA 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 Dycasa SA'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 Dycasa SA's current price.

Dycasa SA Market Strength Events

Dycasa SA Risk Indicators

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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

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