Ulima Nitra Stock Forecast - 20 Period Moving Average

UNIQ Stock  IDR 460.00  40.00  8.00%   
The 20 Period Moving Average forecasted value of Ulima Nitra PT on the next trading day is expected to be 624.25 with a mean absolute deviation of 79.57 and the sum of the absolute errors of 3,262. Ulima Stock Forecast is based on your current time horizon.
  
A commonly used 20-period moving average forecast model for Ulima Nitra PT is based on a synthetically constructed Ulima Nitradaily 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.

Ulima Nitra 20 Period Moving Average Price Forecast For the 15th of December 2024

Given 90 days horizon, the 20 Period Moving Average forecasted value of Ulima Nitra PT on the next trading day is expected to be 624.25 with a mean absolute deviation of 79.57, mean absolute percentage error of 8,452, and the sum of the absolute errors of 3,262.
Please note that although there have been many attempts to predict Ulima 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 Ulima Nitra's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Ulima Nitra Stock Forecast Pattern

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Ulima Nitra Forecasted Value

In the context of forecasting Ulima Nitra'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. Ulima Nitra's downside and upside margins for the forecasting period are 619.32 and 629.18, respectively. We have considered Ulima Nitra'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
460.00
619.32
Downside
624.25
Expected Value
629.18
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 Ulima Nitra stock data series using in forecasting. Note that when a statistical model is used to represent Ulima Nitra 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 Criteria90.3951
BiasArithmetic mean of the errors 21.2073
MADMean absolute deviation79.5732
MAPEMean absolute percentage error0.1396
SAESum of the absolute errors3262.5
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. Ulima Nitra PT 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Ulima Nitra

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ulima Nitra PT. 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
500.12505.00509.88
Details
Intrinsic
Valuation
LowRealHigh
494.63499.51555.50
Details

Other Forecasting Options for Ulima Nitra

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

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

Ulima Nitra PT 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 Ulima Nitra'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 Ulima Nitra's current price.

Ulima Nitra Market Strength Events

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

Ulima Nitra Risk Indicators

The analysis of Ulima Nitra'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 Ulima Nitra's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ulima 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 Ulima Stock

Ulima Nitra financial ratios help investors to determine whether Ulima 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 Ulima with respect to the benefits of owning Ulima Nitra security.