Solusi Tunas Stock Forecast - Polynomial Regression
SUPR Stock | IDR 43,875 0.00 0.00% |
The Polynomial Regression forecasted value of Solusi Tunas Pratama on the next trading day is expected to be 43,875 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. Solusi Stock Forecast is based on your current time horizon.
Solusi |
Solusi Tunas Polynomial Regression Price Forecast For the 5th of December
Given 90 days horizon, the Polynomial Regression forecasted value of Solusi Tunas Pratama on the next trading day is expected to be 43,875 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 Solusi 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 Solusi Tunas' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Solusi Tunas Stock Forecast Pattern
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Solusi Tunas Forecasted Value
In the context of forecasting Solusi Tunas' 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. Solusi Tunas' downside and upside margins for the forecasting period are 43,875 and 43,875, respectively. We have considered Solusi Tunas' 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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Solusi Tunas stock data series using in forecasting. Note that when a statistical model is used to represent Solusi Tunas 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 Solusi Tunas
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Solusi Tunas Pratama. 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 Solusi Tunas
For every potential investor in Solusi, whether a beginner or expert, Solusi Tunas' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Solusi Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Solusi. Basic forecasting techniques help filter out the noise by identifying Solusi Tunas' price trends.Solusi Tunas 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 Solusi Tunas stock to make a market-neutral strategy. Peer analysis of Solusi Tunas could also be used in its relative valuation, which is a method of valuing Solusi Tunas by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
Solusi Tunas Pratama 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 Solusi Tunas' 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 Solusi Tunas' current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Solusi Tunas Market Strength Events
Market strength indicators help investors to evaluate how Solusi Tunas stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Solusi Tunas shares will generate the highest return on investment. By undertsting and applying Solusi Tunas stock market strength indicators, traders can identify Solusi Tunas Pratama entry and exit signals to maximize returns.
Rate Of Daily Change | 1.0 | |||
Day Median Price | 43875.0 | |||
Day Typical Price | 43875.0 |
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Solusi Tunas financial ratios help investors to determine whether Solusi 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 Solusi with respect to the benefits of owning Solusi Tunas security.