PT Global Stock Forecast - Simple Moving Average
| DOSS Stock | 230.00 12.00 4.96% |
Momentum 0
Sell Peaked
Oversold | Overbought |
Using PT Global hype-based prediction, you can estimate the value of PT Global Sukses from the perspective of PT Global response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Moving Average forecasted value of PT Global Sukses on the next trading day is expected to be 230.00 with a mean absolute deviation of 7.53 and the sum of the absolute errors of 452.00. PT Global after-hype prediction price | IDR 230.0 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
DOSS |
PT Global Additional Predictive Modules
Most predictive techniques to examine DOSS price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for DOSS using various technical indicators. When you analyze DOSS charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
PT Global Simple Moving Average Price Forecast For the 16th of January 2026
Given 90 days horizon, the Simple Moving Average forecasted value of PT Global Sukses on the next trading day is expected to be 230.00 with a mean absolute deviation of 7.53, mean absolute percentage error of 133.38, and the sum of the absolute errors of 452.00.Please note that although there have been many attempts to predict DOSS 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 PT Global's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
PT Global Stock Forecast Pattern
PT Global Forecasted Value
In the context of forecasting PT Global'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. PT Global's downside and upside margins for the forecasting period are 225.31 and 234.69, respectively. We have considered PT Global'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 Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of PT Global stock data series using in forecasting. Note that when a statistical model is used to represent PT Global 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 | 121.1659 |
| Bias | Arithmetic mean of the errors | -1.95 |
| MAD | Mean absolute deviation | 7.5333 |
| MAPE | Mean absolute percentage error | 0.0349 |
| SAE | Sum of the absolute errors | 452.0 |
Predictive Modules for PT Global
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as PT Global Sukses. 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.Other Forecasting Options for PT Global
For every potential investor in DOSS, whether a beginner or expert, PT Global's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. DOSS Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in DOSS. Basic forecasting techniques help filter out the noise by identifying PT Global's price trends.PT Global 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 PT Global stock to make a market-neutral strategy. Peer analysis of PT Global could also be used in its relative valuation, which is a method of valuing PT Global by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
PT Global Sukses 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 PT Global'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 PT Global's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
PT Global Market Strength Events
Market strength indicators help investors to evaluate how PT Global stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading PT Global shares will generate the highest return on investment. By undertsting and applying PT Global stock market strength indicators, traders can identify PT Global Sukses entry and exit signals to maximize returns.
| Accumulation Distribution | 1.3 M | |||
| Daily Balance Of Power | (0.86) | |||
| Rate Of Daily Change | 0.95 | |||
| Day Median Price | 235.0 | |||
| Day Typical Price | 233.33 | |||
| Price Action Indicator | (11.00) | |||
| Period Momentum Indicator | (12.00) |
PT Global Risk Indicators
The analysis of PT Global'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 PT Global's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting doss 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 | 3.26 | |||
| Semi Deviation | 2.79 | |||
| Standard Deviation | 4.68 | |||
| Variance | 21.87 | |||
| Downside Variance | 11.74 | |||
| Semi Variance | 7.81 | |||
| Expected Short fall | (4.56) |
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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