Jaya Sukses Stock Forecast - 4 Period Moving Average

RISE Stock   1,010  10.00  1.00%   
The 4 Period Moving Average forecasted value of Jaya Sukses Makmur on the next trading day is expected to be 1,005 with a mean absolute deviation of 1.23 and the sum of the absolute errors of 70.00. Jaya Stock Forecast is based on your current time horizon.
  
A four-period moving average forecast model for Jaya Sukses Makmur is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Jaya Sukses 4 Period Moving Average Price Forecast For the 4th of December

Given 90 days horizon, the 4 Period Moving Average forecasted value of Jaya Sukses Makmur on the next trading day is expected to be 1,005 with a mean absolute deviation of 1.23, mean absolute percentage error of 7.51, and the sum of the absolute errors of 70.00.
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 SuksesJaya Sukses Price PredictionBuy 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 1,005 and 1,005, 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.
Market Value
1,010
1,005
Expected Value
1,005
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average 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.
AICAkaike Information Criteria112.7754
BiasArithmetic mean of the errors -0.7456
MADMean absolute deviation1.2281
MAPEMean absolute percentage error0.0012
SAESum of the absolute errors70.0
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Jaya Sukses. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Jaya Sukses Makmur and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

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.
Hype
Prediction
LowEstimatedHigh
1,0101,0101,010
Details
Intrinsic
Valuation
LowRealHigh
1,0041,0041,111
Details
Bollinger
Band Projection (param)
LowMiddleHigh
988.78994.531,000
Details

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.

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.
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.

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect

Other Information on Investing in Jaya Stock

Jaya Sukses financial ratios help investors to determine whether Jaya 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 Jaya with respect to the benefits of owning Jaya Sukses security.