Grand Canal Stock Forecast - 8 Period Moving Average

GLAND Stock  THB 1.65  0.05  2.94%   
The 8 Period Moving Average forecasted value of Grand Canal Land on the next trading day is expected to be 1.59 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.42. Grand Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Grand Canal stock prices and determine the direction of Grand Canal Land's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Grand Canal's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
An 8-period moving average forecast model for Grand Canal is based on an artificially constructed time series of Grand Canal daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Grand Canal 8 Period Moving Average Price Forecast For the 27th of November

Given 90 days horizon, the 8 Period Moving Average forecasted value of Grand Canal Land on the next trading day is expected to be 1.59 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 1.42.
Please note that although there have been many attempts to predict Grand 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 Grand Canal's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Grand Canal Stock Forecast Pattern

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Grand Canal Forecasted Value

In the context of forecasting Grand Canal'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. Grand Canal's downside and upside margins for the forecasting period are 0.02 and 128.41, respectively. We have considered Grand Canal'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
1.65
1.59
Expected Value
128.41
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Grand Canal stock data series using in forecasting. Note that when a statistical model is used to represent Grand Canal 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 Criteria97.4826
BiasArithmetic mean of the errors -0.0115
MADMean absolute deviation0.0268
MAPEMean absolute percentage error0.0168
SAESum of the absolute errors1.42
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. Grand Canal Land 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Grand Canal

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Grand Canal Land. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Grand Canal's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
0.091.70171.70
Details
Intrinsic
Valuation
LowRealHigh
0.061.27171.28
Details

Other Forecasting Options for Grand Canal

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

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

Grand Canal Land 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 Grand Canal'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 Grand Canal's current price.

Grand Canal Market Strength Events

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

Grand Canal Risk Indicators

The analysis of Grand Canal'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 Grand Canal's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting grand 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 Grand Stock

Grand Canal financial ratios help investors to determine whether Grand 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 Grand with respect to the benefits of owning Grand Canal security.