Absolute Clean Stock Forecast - Simple Exponential Smoothing

ACE Stock  THB 1.29  0.01  0.77%   
The Simple Exponential Smoothing forecasted value of Absolute Clean Energy on the next trading day is expected to be 1.39 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 4.28. Absolute Stock Forecast is based on your current time horizon.
  
Absolute Clean simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Absolute Clean Energy are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Absolute Clean Energy prices get older.

Absolute Clean Simple Exponential Smoothing Price Forecast For the 26th of November

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Absolute Clean Energy on the next trading day is expected to be 1.39 with a mean absolute deviation of 0.07, mean absolute percentage error of 0.04, and the sum of the absolute errors of 4.28.
Please note that although there have been many attempts to predict Absolute 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 Absolute Clean's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Absolute Clean Stock Forecast Pattern

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Absolute Clean Forecasted Value

In the context of forecasting Absolute Clean'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. Absolute Clean's downside and upside margins for the forecasting period are 0.01 and 128.23, respectively. We have considered Absolute Clean'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
1.29
1.39
Expected Value
128.23
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Absolute Clean stock data series using in forecasting. Note that when a statistical model is used to represent Absolute Clean 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 Criteria112.9336
BiasArithmetic mean of the errors 0.044
MADMean absolute deviation0.0713
MAPEMean absolute percentage error9.223372036854776E14
SAESum of the absolute errors4.28
This simple exponential smoothing model begins by setting Absolute Clean Energy forecast for the second period equal to the observation of the first period. In other words, recent Absolute Clean observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Absolute Clean

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Absolute Clean Energy. 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
0.061.29130.29
Details
Intrinsic
Valuation
LowRealHigh
0.040.85129.85
Details

Other Forecasting Options for Absolute Clean

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

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

Absolute Clean Energy 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 Absolute Clean'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 Absolute Clean's current price.

Absolute Clean Market Strength Events

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

Absolute Clean Risk Indicators

The analysis of Absolute Clean'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 Absolute Clean's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting absolute 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 Absolute Stock

Absolute Clean financial ratios help investors to determine whether Absolute 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 Absolute with respect to the benefits of owning Absolute Clean security.