Jaya Sukses Stock Forecast - Polynomial Regression
| RISE Stock | 985.00 0.00 0.00% |
The Polynomial Regression forecasted value of Jaya Sukses Makmur on the next trading day is expected to be 989.39 with a mean absolute deviation of 2.19 and the sum of the absolute errors of 133.37. Jaya Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Jaya Sukses stock prices and determine the direction of Jaya Sukses Makmur's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Jaya Sukses' historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Jaya Sukses to cross-verify your projections. Jaya |
Most investors in Jaya Sukses cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Jaya Sukses' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Jaya Sukses' price structures and extracts relationships that further increase the generated results' accuracy.
Jaya Sukses polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Jaya Sukses Makmur as well as the accuracy indicators are determined from the period prices. Jaya Sukses Polynomial Regression Price Forecast For the 3rd of May
Given 90 days horizon, the Polynomial Regression forecasted value of Jaya Sukses Makmur on the next trading day is expected to be 989.39 with a mean absolute deviation of 2.19, mean absolute percentage error of 9.29, and the sum of the absolute errors of 133.37.Please note that although there have been many attempts to predict Jaya 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 Jaya Sukses' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Jaya Sukses Stock Forecast Pattern
| Backtest Jaya Sukses | Jaya Sukses Price Prediction | Buy or Sell Advice |
Jaya Sukses Forecasted Value
In the context of forecasting Jaya Sukses' 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. Jaya Sukses' downside and upside margins for the forecasting period are 989.12 and 989.67, respectively. We have considered Jaya Sukses' 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 Jaya Sukses stock data series using in forecasting. Note that when a statistical model is used to represent Jaya Sukses 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 | 120.3393 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 2.1864 |
| MAPE | Mean absolute percentage error | 0.0022 |
| SAE | Sum of the absolute errors | 133.3726 |
Predictive Modules for Jaya Sukses
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Jaya Sukses Makmur. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Jaya Sukses' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Other Forecasting Options for Jaya Sukses
For every potential investor in Jaya, whether a beginner or expert, Jaya Sukses' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Jaya Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Jaya. Basic forecasting techniques help filter out the noise by identifying Jaya Sukses' price trends.Jaya Sukses 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 Jaya Sukses stock to make a market-neutral strategy. Peer analysis of Jaya Sukses could also be used in its relative valuation, which is a method of valuing Jaya Sukses by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Jaya Sukses Makmur 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 Jaya Sukses' 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 Jaya Sukses' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Jaya Sukses Market Strength Events
Market strength indicators help investors to evaluate how Jaya Sukses stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Jaya Sukses shares will generate the highest return on investment. By undertsting and applying Jaya Sukses stock market strength indicators, traders can identify Jaya Sukses Makmur entry and exit signals to maximize returns.
Jaya Sukses Risk Indicators
The analysis of Jaya Sukses' 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 Jaya Sukses' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting jaya 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 | 0.1656 | |||
| Standard Deviation | 0.3464 | |||
| Variance | 0.12 |
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.
Currently Active Assets on Macroaxis
Check out Historical Fundamental Analysis of Jaya Sukses to cross-verify your projections. You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
Complementary Tools for Jaya Stock analysis
When running Jaya Sukses' price analysis, check to measure Jaya Sukses' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Jaya Sukses is operating at the current time. Most of Jaya Sukses' value examination focuses on studying past and present price action to predict the probability of Jaya Sukses' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Jaya Sukses' price. Additionally, you may evaluate how the addition of Jaya Sukses to your portfolios can decrease your overall portfolio volatility.
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
| Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
| Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
| Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
| Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
| ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
| Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. |