PT Buana Stock Forecast - 20 Period Moving Average
| STAR Stock | IDR 50.00 0.00 0.00% |
The 20 Period Moving Average forecasted value of PT Buana Artha on the next trading day is expected to be 50.00 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. STAR Stock Forecast is based on your current time horizon.
STAR |
PT Buana 20 Period Moving Average Price Forecast For the 17th of December 2024
Given 90 days horizon, the 20 Period Moving Average forecasted value of PT Buana Artha on the next trading day is expected to be 50.00 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.Please note that although there have been many attempts to predict STAR 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 Buana's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
PT Buana Stock Forecast Pattern
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PT Buana Forecasted Value
In the context of forecasting PT Buana'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 Buana's downside and upside margins for the forecasting period are 50.00 and 50.00, respectively. We have considered PT Buana'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 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of PT Buana stock data series using in forecasting. Note that when a statistical model is used to represent PT Buana 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 | -9.223372036854776E14 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 0.0 |
| SAE | Sum of the absolute errors | 0.0 |
Predictive Modules for PT Buana
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 Buana Artha. 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 Buana
For every potential investor in STAR, whether a beginner or expert, PT Buana's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. STAR Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in STAR. Basic forecasting techniques help filter out the noise by identifying PT Buana's price trends.PT Buana 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 Buana stock to make a market-neutral strategy. Peer analysis of PT Buana could also be used in its relative valuation, which is a method of valuing PT Buana by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
PT Buana Artha 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 Buana'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 Buana's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
PT Buana Market Strength Events
Market strength indicators help investors to evaluate how PT Buana 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 Buana shares will generate the highest return on investment. By undertsting and applying PT Buana stock market strength indicators, traders can identify PT Buana Artha entry and exit signals to maximize returns.
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PT Buana financial ratios help investors to determine whether STAR 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 STAR with respect to the benefits of owning PT Buana security.