Sunson Textile Stock Forecast - 4 Period Moving Average

SSTM Stock  IDR 284.00  56.00  24.56%   
The 4 Period Moving Average forecasted value of Sunson Textile Manufacturer on the next trading day is expected to be 218.00 with a mean absolute deviation of 10.33 and the sum of the absolute errors of 588.75. Sunson Stock Forecast is based on your current time horizon.
  
A four-period moving average forecast model for Sunson Textile Manufacturer is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Sunson Textile 4 Period Moving Average Price Forecast For the 13th of December 2024

Given 90 days horizon, the 4 Period Moving Average forecasted value of Sunson Textile Manufacturer on the next trading day is expected to be 218.00 with a mean absolute deviation of 10.33, mean absolute percentage error of 363.14, and the sum of the absolute errors of 588.75.
Please note that although there have been many attempts to predict Sunson 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 Sunson Textile's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sunson Textile Stock Forecast Pattern

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Sunson Textile Forecasted Value

In the context of forecasting Sunson Textile's 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. Sunson Textile's downside and upside margins for the forecasting period are 209.65 and 226.35, respectively. We have considered Sunson Textile's 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
284.00
209.65
Downside
218.00
Expected Value
226.35
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Sunson Textile stock data series using in forecasting. Note that when a statistical model is used to represent Sunson Textile 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 Criteria116.6538
BiasArithmetic mean of the errors -2.1623
MADMean absolute deviation10.3289
MAPEMean absolute percentage error0.0565
SAESum of the absolute errors588.75
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Sunson Textile. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Sunson Textile Manufacturer and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Sunson Textile

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sunson Textile Manuf. 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
275.65284.00292.35
Details
Intrinsic
Valuation
LowRealHigh
198.92207.27312.40
Details

Other Forecasting Options for Sunson Textile

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

Sunson Textile 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 Sunson Textile stock to make a market-neutral strategy. Peer analysis of Sunson Textile could also be used in its relative valuation, which is a method of valuing Sunson Textile by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Sunson Textile Manuf 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 Sunson Textile'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 Sunson Textile's current price.

Sunson Textile Market Strength Events

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

Sunson Textile Risk Indicators

The analysis of Sunson Textile's 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 Sunson Textile's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sunson 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 Sunson Stock

Sunson Textile financial ratios help investors to determine whether Sunson 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 Sunson with respect to the benefits of owning Sunson Textile security.