Argha Karya Stock Forecast - Polynomial Regression
| AKPI Stock | IDR 600.00 5.00 0.84% |
The Polynomial Regression forecasted value of Argha Karya Prima on the next trading day is expected to be 586.77 with a mean absolute deviation of 14.93 and the sum of the absolute errors of 910.69. Argha Stock Forecast is based on your current time horizon.
Argha |
Argha Karya Polynomial Regression Price Forecast For the 12th of December 2024
Given 90 days horizon, the Polynomial Regression forecasted value of Argha Karya Prima on the next trading day is expected to be 586.77 with a mean absolute deviation of 14.93, mean absolute percentage error of 709.63, and the sum of the absolute errors of 910.69.Please note that although there have been many attempts to predict Argha 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 Argha Karya's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Argha Karya Stock Forecast Pattern
| Backtest Argha Karya | Argha Karya Price Prediction | Buy or Sell Advice |
Argha Karya Forecasted Value
In the context of forecasting Argha Karya'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. Argha Karya's downside and upside margins for the forecasting period are 582.56 and 590.98, respectively. We have considered Argha Karya'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Argha Karya stock data series using in forecasting. Note that when a statistical model is used to represent Argha Karya 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 | 124.6752 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 14.9293 |
| MAPE | Mean absolute percentage error | 0.022 |
| SAE | Sum of the absolute errors | 910.6863 |
Predictive Modules for Argha Karya
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Argha Karya Prima. 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 Argha Karya
For every potential investor in Argha, whether a beginner or expert, Argha Karya's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Argha Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Argha. Basic forecasting techniques help filter out the noise by identifying Argha Karya's price trends.Argha Karya 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 Argha Karya stock to make a market-neutral strategy. Peer analysis of Argha Karya could also be used in its relative valuation, which is a method of valuing Argha Karya by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Argha Karya Prima 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 Argha Karya'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 Argha Karya's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Argha Karya Market Strength Events
Market strength indicators help investors to evaluate how Argha Karya stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Argha Karya shares will generate the highest return on investment. By undertsting and applying Argha Karya stock market strength indicators, traders can identify Argha Karya Prima entry and exit signals to maximize returns.
Argha Karya Risk Indicators
The analysis of Argha Karya'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 Argha Karya's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting argha 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 | 1.92 | |||
| Standard Deviation | 4.1 | |||
| Variance | 16.81 |
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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Argha Karya financial ratios help investors to determine whether Argha 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 Argha with respect to the benefits of owning Argha Karya security.