Lianhua Supermarket Stock Forecast - Polynomial Regression

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

Lianhua Supermarket Polynomial Regression Price Forecast For the 24th of January

Given 90 days horizon, the Polynomial Regression forecasted value of Lianhua Supermarket Holdings on the next trading day is expected to be 0.03 with a mean absolute deviation of 0, mean absolute percentage error of 0.00002, and the sum of the absolute errors of 0.17.

Lianhua Supermarket Stock Forecast Pattern

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

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Lianhua Supermarket. 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 0.00 0.03 6.92 Details

Intrinsic Valuation Low Real High 0.00 0.03 6.92 Details

Bollinger Band Projection (param) Low Middle High 0.02 0.03 0.03 Details

Other Forecasting Options for Lianhua Supermarket

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

Lianhua Supermarket Related Equities

Risk & Return

Correlation

Lianhua Supermarket 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 Lianhua Supermarket'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 Lianhua Supermarket's current price.

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