Dhouse Pattana Stock Forecast - Double Exponential Smoothing
| DHOUSE Stock | THB 0.60 0.02 3.23% |
The Double Exponential Smoothing forecasted value of Dhouse Pattana Public on the next trading day is expected to be 0.60 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.47. Dhouse Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Dhouse Pattana stock prices and determine the direction of Dhouse Pattana Public's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Dhouse Pattana's historical fundamentals, such as revenue growth or operating cash flow patterns.
Dhouse |
Dhouse Pattana Double Exponential Smoothing Price Forecast For the 24th of December
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Dhouse Pattana Public on the next trading day is expected to be 0.60 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0002, and the sum of the absolute errors of 0.47.Please note that although there have been many attempts to predict Dhouse 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 Dhouse Pattana's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Dhouse Pattana Stock Forecast Pattern
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Dhouse Pattana Forecasted Value
In the context of forecasting Dhouse Pattana'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. Dhouse Pattana's downside and upside margins for the forecasting period are 0.01 and 2.89, respectively. We have considered Dhouse Pattana'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Dhouse Pattana stock data series using in forecasting. Note that when a statistical model is used to represent Dhouse Pattana 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 | Huge |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0079 |
| MAPE | Mean absolute percentage error | 0.0132 |
| SAE | Sum of the absolute errors | 0.465 |
Predictive Modules for Dhouse Pattana
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Dhouse Pattana 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 Dhouse Pattana'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.
Other Forecasting Options for Dhouse Pattana
For every potential investor in Dhouse, whether a beginner or expert, Dhouse Pattana's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Dhouse Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Dhouse. Basic forecasting techniques help filter out the noise by identifying Dhouse Pattana's price trends.Dhouse Pattana 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 Dhouse Pattana stock to make a market-neutral strategy. Peer analysis of Dhouse Pattana could also be used in its relative valuation, which is a method of valuing Dhouse Pattana by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Dhouse Pattana 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 Dhouse Pattana'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 Dhouse Pattana's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Dhouse Pattana Market Strength Events
Market strength indicators help investors to evaluate how Dhouse Pattana stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Dhouse Pattana shares will generate the highest return on investment. By undertsting and applying Dhouse Pattana stock market strength indicators, traders can identify Dhouse Pattana Public entry and exit signals to maximize returns.
Dhouse Pattana Risk Indicators
The analysis of Dhouse Pattana'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 Dhouse Pattana's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting dhouse 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 | 1.45 | |||
| Semi Deviation | 1.86 | |||
| Standard Deviation | 2.46 | |||
| Variance | 6.03 | |||
| Downside Variance | 11.39 | |||
| Semi Variance | 3.46 | |||
| Expected Short fall | (3.02) |
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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Dhouse Pattana financial ratios help investors to determine whether Dhouse 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 Dhouse with respect to the benefits of owning Dhouse Pattana security.