Advanced Info Stock Forecast - 4 Period Moving Average

ADVANC-R  THB 289.00  3.00  1.05%   
The 4 Period Moving Average forecasted value of Advanced Info Service on the next trading day is expected to be 200.04 with a mean absolute deviation of 11.80 and the sum of the absolute errors of 672.37. Advanced Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Advanced Info stock prices and determine the direction of Advanced Info Service's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Advanced Info's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A four-period moving average forecast model for Advanced Info Service 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.

Advanced Info 4 Period Moving Average Price Forecast For the 4th of December

Given 90 days horizon, the 4 Period Moving Average forecasted value of Advanced Info Service on the next trading day is expected to be 200.04 with a mean absolute deviation of 11.80, mean absolute percentage error of 1,541, and the sum of the absolute errors of 672.37.
Please note that although there have been many attempts to predict Advanced 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 Advanced Info's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Advanced Info Stock Forecast Pattern

Backtest Advanced InfoAdvanced Info Price PredictionBuy or Sell Advice 

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 Advanced Info stock data series using in forecasting. Note that when a statistical model is used to represent Advanced Info 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 Criteria118.0992
BiasArithmetic mean of the errors -4.0009
MADMean absolute deviation11.796
MAPEMean absolute percentage error9.223372036854776E14
SAESum of the absolute errors672.37
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 Advanced Info. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Advanced Info Service and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Advanced Info

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Advanced Info Service. 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
14.45289.0029,189
Details
Intrinsic
Valuation
LowRealHigh
12.43248.5429,149
Details
Bollinger
Band Projection (param)
LowMiddleHigh
171.51217.03262.55
Details

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

Advanced Info Market Strength Events

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

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 Advanced Stock

Advanced Info financial ratios help investors to determine whether Advanced 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 Advanced with respect to the benefits of owning Advanced Info security.