Trimitra Prawara Stock Forecast - Double Exponential Smoothing

ATAP Stock  IDR 25.00  1.00  3.85%   
The Double Exponential Smoothing forecasted value of Trimitra Prawara Goldland on the next trading day is expected to be 24.72 with a mean absolute deviation of 1.11 and the sum of the absolute errors of 65.66. Trimitra Stock Forecast is based on your current time horizon.
  
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Trimitra Prawara works best with periods where there are trends or seasonality.

Trimitra Prawara Double Exponential Smoothing Price Forecast For the 30th of November

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Trimitra Prawara Goldland on the next trading day is expected to be 24.72 with a mean absolute deviation of 1.11, mean absolute percentage error of 2.27, and the sum of the absolute errors of 65.66.
Please note that although there have been many attempts to predict Trimitra 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 Trimitra Prawara's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Trimitra Prawara Stock Forecast Pattern

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Trimitra Prawara Forecasted Value

In the context of forecasting Trimitra Prawara'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. Trimitra Prawara's downside and upside margins for the forecasting period are 20.19 and 29.26, respectively. We have considered Trimitra Prawara'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
25.00
24.72
Expected Value
29.26
Upside

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 Trimitra Prawara stock data series using in forecasting. Note that when a statistical model is used to represent Trimitra Prawara 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 CriteriaHuge
BiasArithmetic mean of the errors -0.1903
MADMean absolute deviation1.1128
MAPEMean absolute percentage error0.0371
SAESum of the absolute errors65.6574
When Trimitra Prawara Goldland prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Trimitra Prawara Goldland trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Trimitra Prawara observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Trimitra Prawara

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Trimitra Prawara Goldland. 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
20.4625.0029.54
Details
Intrinsic
Valuation
LowRealHigh
19.4624.0028.54
Details

Other Forecasting Options for Trimitra Prawara

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

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

Trimitra Prawara Goldland 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 Trimitra Prawara'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 Trimitra Prawara's current price.

Trimitra Prawara Market Strength Events

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

Trimitra Prawara Risk Indicators

The analysis of Trimitra Prawara'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 Trimitra Prawara's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting trimitra 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 Trimitra Stock

Trimitra Prawara financial ratios help investors to determine whether Trimitra 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 Trimitra with respect to the benefits of owning Trimitra Prawara security.