Chandra Asri Stock Forecast - 20 Period Moving Average

TPIA Stock  IDR 6,850  150.00  2.14%   
The 20 Period Moving Average forecasted value of Chandra Asri Petrochemical on the next trading day is expected to be 6,981 with a mean absolute deviation of 587.41 and the sum of the absolute errors of 24,671. Chandra Stock Forecast is based on your current time horizon.
  
A commonly used 20-period moving average forecast model for Chandra Asri Petrochemical is based on a synthetically constructed Chandra Asridaily 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.

Chandra Asri 20 Period Moving Average Price Forecast For the 1st of December

Given 90 days horizon, the 20 Period Moving Average forecasted value of Chandra Asri Petrochemical on the next trading day is expected to be 6,981 with a mean absolute deviation of 587.41, mean absolute percentage error of 696,184, and the sum of the absolute errors of 24,671.
Please note that although there have been many attempts to predict Chandra 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 Chandra Asri's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Chandra Asri Stock Forecast Pattern

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Chandra Asri Forecasted Value

In the context of forecasting Chandra Asri'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. Chandra Asri's downside and upside margins for the forecasting period are 6,978 and 6,985, respectively. We have considered Chandra Asri'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
6,850
6,981
Expected Value
6,985
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 Chandra Asri stock data series using in forecasting. Note that when a statistical model is used to represent Chandra Asri 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 Criteria96.6442
BiasArithmetic mean of the errors 501.875
MADMean absolute deviation587.4107
MAPEMean absolute percentage error0.0828
SAESum of the absolute errors24671.25
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. Chandra Asri Petroch 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Chandra Asri

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Chandra Asri Petroch. 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
6,8466,8506,854
Details
Intrinsic
Valuation
LowRealHigh
6,2076,2117,535
Details
Bollinger
Band Projection (param)
LowMiddleHigh
6,1566,7487,339
Details

Other Forecasting Options for Chandra Asri

For every potential investor in Chandra, whether a beginner or expert, Chandra Asri's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Chandra Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Chandra. Basic forecasting techniques help filter out the noise by identifying Chandra Asri's price trends.

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

Chandra Asri Petroch 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 Chandra Asri'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 Chandra Asri's current price.

Chandra Asri Market Strength Events

Market strength indicators help investors to evaluate how Chandra Asri stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Chandra Asri shares will generate the highest return on investment. By undertsting and applying Chandra Asri stock market strength indicators, traders can identify Chandra Asri Petrochemical entry and exit signals to maximize returns.

Chandra Asri Risk Indicators

The analysis of Chandra Asri'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 Chandra Asri's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting chandra 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 Chandra Stock

Chandra Asri financial ratios help investors to determine whether Chandra 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 Chandra with respect to the benefits of owning Chandra Asri security.