Borneo Olah Stock Forecast - Triple Exponential Smoothing
| BOSS Stock | IDR 50.00 0.00 0.00% |
The Triple Exponential Smoothing forecasted value of Borneo Olah Sarana 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. Borneo Stock Forecast is based on your current time horizon.
Borneo |
Borneo Olah Triple Exponential Smoothing Price Forecast For the 12th of December 2024
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Borneo Olah Sarana 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 Borneo 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 Borneo Olah's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Borneo Olah Stock Forecast Pattern
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Borneo Olah Forecasted Value
In the context of forecasting Borneo Olah'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. Borneo Olah's downside and upside margins for the forecasting period are 50.00 and 50.00, respectively. We have considered Borneo Olah'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 Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Borneo Olah stock data series using in forecasting. Note that when a statistical model is used to represent Borneo Olah 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 | 0.0 |
| MAPE | Mean absolute percentage error | 0.0 |
| SAE | Sum of the absolute errors | 0.0 |
Predictive Modules for Borneo Olah
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Borneo Olah Sarana. 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 Borneo Olah
For every potential investor in Borneo, whether a beginner or expert, Borneo Olah's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Borneo Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Borneo. Basic forecasting techniques help filter out the noise by identifying Borneo Olah's price trends.Borneo Olah 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 Borneo Olah stock to make a market-neutral strategy. Peer analysis of Borneo Olah could also be used in its relative valuation, which is a method of valuing Borneo Olah by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Borneo Olah Sarana 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 Borneo Olah'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 Borneo Olah's current price.| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
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| Statistic Functions | ||
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| Volume Indicators |
Borneo Olah Market Strength Events
Market strength indicators help investors to evaluate how Borneo Olah stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Borneo Olah shares will generate the highest return on investment. By undertsting and applying Borneo Olah stock market strength indicators, traders can identify Borneo Olah Sarana entry and exit signals to maximize returns.
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Borneo Olah financial ratios help investors to determine whether Borneo 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 Borneo with respect to the benefits of owning Borneo Olah security.