Ross Stores Stock Forecast - Polynomial Regression

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

Ross Stores Polynomial Regression Price Forecast For the 25th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Ross Stores on the next trading day is expected to be 2,779 with a mean absolute deviation of 98.58, mean absolute percentage error of 14,297, and the sum of the absolute errors of 6,013.

Ross Stores Stock Forecast Pattern

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

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ross Stores. 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 2,979 2,981 2,984 Details

Intrinsic Valuation Low Real High 2,343 2,346 3,279 Details

Bollinger Band Projection (param) Low Middle High 2,893 2,958 3,024 Details

Other Forecasting Options for Ross Stores

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

Ross Stores Related Equities

Risk & Return

Correlation

Ross Stores 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 Ross Stores' 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 Ross Stores' current price.

Ross Stores Market Strength Events

Ross Stores 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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