Satyamitra Kemas Stock Forecast - Polynomial Regression
| SMKL Stock | IDR 163.00 1.00 0.61% |
The Polynomial Regression forecasted value of Satyamitra Kemas Lestari on the next trading day is expected to be 157.77 with a mean absolute deviation of 2.10 and the sum of the absolute errors of 127.81. Satyamitra Stock Forecast is based on your current time horizon.
Satyamitra |
Satyamitra Kemas Polynomial Regression Price Forecast For the 12th of December 2024
Given 90 days horizon, the Polynomial Regression forecasted value of Satyamitra Kemas Lestari on the next trading day is expected to be 157.77 with a mean absolute deviation of 2.10, mean absolute percentage error of 7.63, and the sum of the absolute errors of 127.81.Please note that although there have been many attempts to predict Satyamitra 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 Satyamitra Kemas' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Satyamitra Kemas Stock Forecast Pattern
| Backtest Satyamitra Kemas | Satyamitra Kemas Price Prediction | Buy or Sell Advice |
Satyamitra Kemas Forecasted Value
In the context of forecasting Satyamitra Kemas' 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. Satyamitra Kemas' downside and upside margins for the forecasting period are 156.57 and 158.97, respectively. We have considered Satyamitra Kemas' 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 Satyamitra Kemas stock data series using in forecasting. Note that when a statistical model is used to represent Satyamitra Kemas 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 | 120.1427 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 2.0952 |
| MAPE | Mean absolute percentage error | 0.0121 |
| SAE | Sum of the absolute errors | 127.8054 |
Predictive Modules for Satyamitra Kemas
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Satyamitra Kemas Lestari. 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 Satyamitra Kemas
For every potential investor in Satyamitra, whether a beginner or expert, Satyamitra Kemas' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Satyamitra Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Satyamitra. Basic forecasting techniques help filter out the noise by identifying Satyamitra Kemas' price trends.Satyamitra Kemas 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 Satyamitra Kemas stock to make a market-neutral strategy. Peer analysis of Satyamitra Kemas could also be used in its relative valuation, which is a method of valuing Satyamitra Kemas by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Satyamitra Kemas Lestari 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 Satyamitra Kemas' 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 Satyamitra Kemas' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Satyamitra Kemas Market Strength Events
Market strength indicators help investors to evaluate how Satyamitra Kemas stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Satyamitra Kemas shares will generate the highest return on investment. By undertsting and applying Satyamitra Kemas stock market strength indicators, traders can identify Satyamitra Kemas Lestari entry and exit signals to maximize returns.
Satyamitra Kemas Risk Indicators
The analysis of Satyamitra Kemas' 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 Satyamitra Kemas' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting satyamitra 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 | 0.79 | |||
| Standard Deviation | 1.17 | |||
| Variance | 1.37 |
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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Satyamitra Kemas financial ratios help investors to determine whether Satyamitra 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 Satyamitra with respect to the benefits of owning Satyamitra Kemas security.