Jaya Swarasa Stock Forecast - 20 Period Moving Average

TAYS Stock   59.00  2.00  3.28%   
The 20 Period Moving Average forecasted value of Jaya Swarasa Agung on the next trading day is expected to be 62.40 with a mean absolute deviation of 3.89 and the sum of the absolute errors of 159.40. Jaya Stock Forecast is based on your current time horizon.
  
A commonly used 20-period moving average forecast model for Jaya Swarasa Agung is based on a synthetically constructed Jaya Swarasadaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Jaya Swarasa 20 Period Moving Average Price Forecast For the 2nd of December

Given 90 days horizon, the 20 Period Moving Average forecasted value of Jaya Swarasa Agung on the next trading day is expected to be 62.40 with a mean absolute deviation of 3.89, mean absolute percentage error of 22.20, and the sum of the absolute errors of 159.40.
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 Swarasa's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Jaya Swarasa Stock Forecast Pattern

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Jaya Swarasa Forecasted Value

In the context of forecasting Jaya Swarasa'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. Jaya Swarasa's downside and upside margins for the forecasting period are 59.23 and 65.57, respectively. We have considered Jaya Swarasa'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.
Market Value
59.00
62.40
Expected Value
65.57
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Jaya Swarasa stock data series using in forecasting. Note that when a statistical model is used to represent Jaya Swarasa 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 Criteria84.4529
BiasArithmetic mean of the errors 3.0756
MADMean absolute deviation3.8878
MAPEMean absolute percentage error0.0592
SAESum of the absolute errors159.4
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Jaya Swarasa Agung 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Jaya Swarasa

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 Swarasa Agung. 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
55.8159.0062.19
Details
Intrinsic
Valuation
LowRealHigh
51.6254.8164.90
Details
Bollinger
Band Projection (param)
LowMiddleHigh
59.2661.5063.74
Details

Other Forecasting Options for Jaya Swarasa

For every potential investor in Jaya, whether a beginner or expert, Jaya Swarasa's 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 Swarasa's price trends.

Jaya Swarasa 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 Swarasa stock to make a market-neutral strategy. Peer analysis of Jaya Swarasa could also be used in its relative valuation, which is a method of valuing Jaya Swarasa by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Jaya Swarasa Agung 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 Swarasa'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 Jaya Swarasa's current price.

Jaya Swarasa Market Strength Events

Market strength indicators help investors to evaluate how Jaya Swarasa 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 Swarasa shares will generate the highest return on investment. By undertsting and applying Jaya Swarasa stock market strength indicators, traders can identify Jaya Swarasa Agung entry and exit signals to maximize returns.

Jaya Swarasa Risk Indicators

The analysis of Jaya Swarasa'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 Jaya Swarasa's 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.

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Other Information on Investing in Jaya Stock

Jaya Swarasa 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 Swarasa security.