Siam City Stock Forecast - 20 Period Moving Average

SCCC Stock  THB 162.50  1.00  0.62%   
The 20 Period Moving Average forecasted value of Siam City Cement on the next trading day is expected to be 162.38 with a mean absolute deviation of 2.85 and the sum of the absolute errors of 116.78. Siam Stock Forecast is based on your current time horizon.
  
A commonly used 20-period moving average forecast model for Siam City Cement is based on a synthetically constructed Siam Citydaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Siam City 20 Period Moving Average Price Forecast For the 17th of December 2024

Given 90 days horizon, the 20 Period Moving Average forecasted value of Siam City Cement on the next trading day is expected to be 162.38 with a mean absolute deviation of 2.85, mean absolute percentage error of 18.49, and the sum of the absolute errors of 116.78.
Please note that although there have been many attempts to predict Siam 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 Siam City's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Siam City Stock Forecast Pattern

Backtest Siam CitySiam City Price PredictionBuy or Sell Advice 

Siam City Forecasted Value

In the context of forecasting Siam City'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. Siam City's downside and upside margins for the forecasting period are 160.77 and 163.98, respectively. We have considered Siam City'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
162.50
160.77
Downside
162.38
Expected Value
163.98
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Siam City stock data series using in forecasting. Note that when a statistical model is used to represent Siam City 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 Criteria84.27
BiasArithmetic mean of the errors -0.1287
MADMean absolute deviation2.8482
MAPEMean absolute percentage error0.017
SAESum of the absolute errors116.775
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Siam City Cement 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Siam City

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Siam City Cement. 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
160.91162.50164.09
Details
Intrinsic
Valuation
LowRealHigh
146.57148.16178.75
Details

Other Forecasting Options for Siam City

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

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

Siam City Cement 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 Siam City'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 Siam City's current price.

Siam City Market Strength Events

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

Siam City Risk Indicators

The analysis of Siam City'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 Siam City's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting siam 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.

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect

Other Information on Investing in Siam Stock

Siam City financial ratios help investors to determine whether Siam 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 Siam with respect to the benefits of owning Siam City security.