PT Pelayaran Stock Forecast - 20 Period Moving Average

TAMU Stock   17.00  3.00  15.00%   
The 20 Period Moving Average forecasted value of PT Pelayaran Tamarin on the next trading day is expected to be 15.60 with a mean absolute deviation of 2.52 and the sum of the absolute errors of 105.85. TAMU Stock Forecast is based on your current time horizon.
  
A commonly used 20-period moving average forecast model for PT Pelayaran Tamarin is based on a synthetically constructed PT Pelayarandaily 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.

PT Pelayaran 20 Period Moving Average Price Forecast For the 12th of December 2024

Given 90 days horizon, the 20 Period Moving Average forecasted value of PT Pelayaran Tamarin on the next trading day is expected to be 15.60 with a mean absolute deviation of 2.52, mean absolute percentage error of 8.41, and the sum of the absolute errors of 105.85.
Please note that although there have been many attempts to predict TAMU 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 PT Pelayaran's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

PT Pelayaran Stock Forecast Pattern

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PT Pelayaran Forecasted Value

In the context of forecasting PT Pelayaran'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. PT Pelayaran's downside and upside margins for the forecasting period are 10.07 and 21.13, respectively. We have considered PT Pelayaran'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
17.00
15.60
Expected Value
21.13
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 PT Pelayaran stock data series using in forecasting. Note that when a statistical model is used to represent PT Pelayaran 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 Criteria85.3198
BiasArithmetic mean of the errors 1.156
MADMean absolute deviation2.5202
MAPEMean absolute percentage error0.1586
SAESum of the absolute errors105.85
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. PT Pelayaran Tamarin 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for PT Pelayaran

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as PT Pelayaran Tamarin. 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
12.5518.0023.45
Details
Intrinsic
Valuation
LowRealHigh
9.8815.3320.78
Details
Bollinger
Band Projection (param)
LowMiddleHigh
11.4015.2819.15
Details

Other Forecasting Options for PT Pelayaran

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

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

PT Pelayaran Tamarin 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 PT Pelayaran'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 PT Pelayaran's current price.

PT Pelayaran Market Strength Events

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

PT Pelayaran Risk Indicators

The analysis of PT Pelayaran'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 PT Pelayaran's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting tamu 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 TAMU Stock

PT Pelayaran financial ratios help investors to determine whether TAMU 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 TAMU with respect to the benefits of owning PT Pelayaran security.