Surapon Foods Stock Forecast - Polynomial Regression

SSF Stock  THB 6.95  0.15  2.21%   
The Polynomial Regression forecasted value of Surapon Foods Public on the next trading day is expected to be 7.11 with a mean absolute deviation of 0.30 and the sum of the absolute errors of 18.33. Surapon Stock Forecast is based on your current time horizon.
  
Surapon Foods polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Surapon Foods Public as well as the accuracy indicators are determined from the period prices.

Surapon Foods Polynomial Regression Price Forecast For the 27th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Surapon Foods Public on the next trading day is expected to be 7.11 with a mean absolute deviation of 0.30, mean absolute percentage error of 0.77, and the sum of the absolute errors of 18.33.
Please note that although there have been many attempts to predict Surapon Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Surapon Foods' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Surapon Foods Stock Forecast Pattern

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Surapon Foods Forecasted Value

In the context of forecasting Surapon Foods' Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Surapon Foods' downside and upside margins for the forecasting period are 0.07 and 134.96, respectively. We have considered Surapon Foods' daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
6.95
7.11
Expected Value
134.96
Upside

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 Surapon Foods stock data series using in forecasting. Note that when a statistical model is used to represent Surapon Foods 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.
AICAkaike Information Criteria117.844
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3004
MAPEMean absolute percentage error9.223372036854776E14
SAESum of the absolute errors18.3253
A single variable polynomial regression model attempts to put a curve through the Surapon Foods 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 + ... + am*Xm

Predictive Modules for Surapon Foods

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Surapon Foods Public. 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
LowEstimatedHigh
0.356.95701.95
Details
Intrinsic
Valuation
LowRealHigh
0.275.34700.34
Details

Other Forecasting Options for Surapon Foods

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

Surapon Foods Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Surapon Foods stock to make a market-neutral strategy. Peer analysis of Surapon Foods could also be used in its relative valuation, which is a method of valuing Surapon Foods by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Surapon Foods Public 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 Surapon Foods' 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 Surapon Foods' current price.

Surapon Foods Market Strength Events

Market strength indicators help investors to evaluate how Surapon Foods stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Surapon Foods shares will generate the highest return on investment. By undertsting and applying Surapon Foods stock market strength indicators, traders can identify Surapon Foods Public entry and exit signals to maximize returns.

Surapon Foods Risk Indicators

The analysis of Surapon Foods' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Surapon Foods' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting surapon stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

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Other Information on Investing in Surapon Stock

Surapon Foods financial ratios help investors to determine whether Surapon Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Surapon with respect to the benefits of owning Surapon Foods security.