Simat Technologies Stock Forecast - 20 Period Moving Average
| SIMAT Stock | THB 1.62 0.04 2.53% |
The 20 Period Moving Average forecasted value of Simat Technologies Public on the next trading day is expected to be 2.07 with a mean absolute deviation of 0.17 and the sum of the absolute errors of 7.12. Simat Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Simat Technologies stock prices and determine the direction of Simat Technologies Public's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Simat Technologies' historical fundamentals, such as revenue growth or operating cash flow patterns.
Simat |
Simat Technologies 20 Period Moving Average Price Forecast For the 12th of December 2024
Given 90 days horizon, the 20 Period Moving Average forecasted value of Simat Technologies Public on the next trading day is expected to be 2.07 with a mean absolute deviation of 0.17, mean absolute percentage error of 0.07, and the sum of the absolute errors of 7.12.Please note that although there have been many attempts to predict Simat 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 Simat Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Simat Technologies Stock Forecast Pattern
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Simat Technologies Forecasted Value
In the context of forecasting Simat Technologies' 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. Simat Technologies' downside and upside margins for the forecasting period are 0.02 and 6.54, respectively. We have considered Simat Technologies' 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.
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 Simat Technologies stock data series using in forecasting. Note that when a statistical model is used to represent Simat Technologies 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.| AIC | Akaike Information Criteria | 78.6312 |
| Bias | Arithmetic mean of the errors | 0.0121 |
| MAD | Mean absolute deviation | 0.1738 |
| MAPE | Mean absolute percentage error | 0.091 |
| SAE | Sum of the absolute errors | 7.1245 |
Predictive Modules for Simat Technologies
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Simat Technologies 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Simat Technologies' 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.
Other Forecasting Options for Simat Technologies
For every potential investor in Simat, whether a beginner or expert, Simat Technologies' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Simat Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Simat. Basic forecasting techniques help filter out the noise by identifying Simat Technologies' price trends.Simat Technologies 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 Simat Technologies stock to make a market-neutral strategy. Peer analysis of Simat Technologies could also be used in its relative valuation, which is a method of valuing Simat Technologies by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Simat Technologies 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 Simat Technologies' 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 Simat Technologies' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Simat Technologies Market Strength Events
Market strength indicators help investors to evaluate how Simat Technologies stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Simat Technologies shares will generate the highest return on investment. By undertsting and applying Simat Technologies stock market strength indicators, traders can identify Simat Technologies Public entry and exit signals to maximize returns.
Simat Technologies Risk Indicators
The analysis of Simat Technologies' 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 Simat Technologies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting simat 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.
| Mean Deviation | 2.55 | |||
| Standard Deviation | 4.34 | |||
| Variance | 18.83 |
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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Simat Technologies financial ratios help investors to determine whether Simat 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 Simat with respect to the benefits of owning Simat Technologies security.