Trimegah Karya Stock Forecast - Simple Regression

UVCR Stock   66.00  1.00  1.54%   
The Simple Regression forecasted value of Trimegah Karya Pratama on the next trading day is expected to be 66.77 with a mean absolute deviation of 2.90 and the sum of the absolute errors of 179.75. Trimegah Stock Forecast is based on your current time horizon.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Trimegah Karya price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Trimegah Karya Simple Regression Price Forecast For the 30th of November

Given 90 days horizon, the Simple Regression forecasted value of Trimegah Karya Pratama on the next trading day is expected to be 66.77 with a mean absolute deviation of 2.90, mean absolute percentage error of 11.43, and the sum of the absolute errors of 179.75.
Please note that although there have been many attempts to predict Trimegah 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 Trimegah Karya's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Trimegah Karya Stock Forecast Pattern

Backtest Trimegah KaryaTrimegah Karya Price PredictionBuy or Sell Advice 

Trimegah Karya Forecasted Value

In the context of forecasting Trimegah Karya'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. Trimegah Karya's downside and upside margins for the forecasting period are 63.44 and 70.09, respectively. We have considered Trimegah Karya'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
66.00
66.77
Expected Value
70.09
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Trimegah Karya stock data series using in forecasting. Note that when a statistical model is used to represent Trimegah Karya 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 Criteria122.3845
BiasArithmetic mean of the errors None
MADMean absolute deviation2.8993
MAPEMean absolute percentage error0.0417
SAESum of the absolute errors179.754
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Trimegah Karya Pratama historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Trimegah Karya

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Trimegah Karya Pratama. 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
0.000.003.30
Details
Intrinsic
Valuation
LowRealHigh
0.000.003.30
Details
Bollinger
Band Projection (param)
LowMiddleHigh
63.5868.5473.51
Details

Other Forecasting Options for Trimegah Karya

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

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

Trimegah Karya Pratama 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 Trimegah Karya'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 Trimegah Karya's current price.

Trimegah Karya Market Strength Events

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

Trimegah Karya Risk Indicators

The analysis of Trimegah Karya'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 Trimegah Karya's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting trimegah 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 Trimegah Stock

Trimegah Karya financial ratios help investors to determine whether Trimegah 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 Trimegah with respect to the benefits of owning Trimegah Karya security.