Trimitra Prawara Stock Forecast - Simple Regression

ATAP Stock  IDR 835.00  75.00  9.87%   
Trimitra Stock outlook is based on your current time horizon.
As of now The value of RSI of Trimitra Prawara's share price is above 80 . This suggests that the stock is significantly overbought by investors. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 82

 Buy Peaked

 
Oversold
 
Overbought
The successful prediction of Trimitra Prawara's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Trimitra Prawara Goldland, which may create opportunities for some arbitrage if properly timed.
Using Trimitra Prawara hype-based prediction, you can estimate the value of Trimitra Prawara Goldland from the perspective of Trimitra Prawara response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Trimitra Prawara Goldland on the next trading day is expected to be 816.91 with a mean absolute deviation of 73.90 and the sum of the absolute errors of 4,508.

Trimitra Prawara after-hype prediction price

    
  IDR 835.0  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of Trimitra Prawara to cross-verify your projections.

Trimitra Prawara Additional Predictive Modules

Most predictive techniques to examine Trimitra price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Trimitra using various technical indicators. When you analyze Trimitra charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Simple Regression model is a single variable regression model that attempts to put a straight line through Trimitra Prawara 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.

Trimitra Prawara Simple Regression Price Forecast For the 26th of January

Given 90 days horizon, the Simple Regression forecasted value of Trimitra Prawara Goldland on the next trading day is expected to be 816.91 with a mean absolute deviation of 73.90, mean absolute percentage error of 8,006, and the sum of the absolute errors of 4,508.
Please note that although there have been many attempts to predict Trimitra 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 Trimitra Prawara's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Trimitra Prawara Stock Forecast Pattern

Backtest Trimitra Prawara  Trimitra Prawara Price Prediction  Buy or Sell Advice  

Trimitra Prawara Forecasted Value

In the context of forecasting Trimitra Prawara'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. Trimitra Prawara's downside and upside margins for the forecasting period are 809.14 and 824.67, respectively. We have considered Trimitra Prawara'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
835.00
809.14
Downside
816.91
Expected Value
824.67
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 Trimitra Prawara stock data series using in forecasting. Note that when a statistical model is used to represent Trimitra Prawara 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 Criteria127.0985
BiasArithmetic mean of the errors None
MADMean absolute deviation73.8983
MAPEMean absolute percentage error0.3667
SAESum of the absolute errors4507.7986
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 Trimitra Prawara Goldland 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 Trimitra Prawara

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Trimitra Prawara Goldland. 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
827.23835.00842.77
Details
Intrinsic
Valuation
LowRealHigh
534.45542.22918.50
Details
Bollinger
Band Projection (param)
LowMiddleHigh
522.85691.46860.07
Details

Trimitra Prawara After-Hype Price Density Analysis

As far as predicting the price of Trimitra Prawara at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Trimitra Prawara or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Trimitra Prawara, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Trimitra Prawara Estimiated After-Hype Price Volatility

In the context of predicting Trimitra Prawara's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Trimitra Prawara's historical news coverage. Trimitra Prawara's after-hype downside and upside margins for the prediction period are 827.23 and 842.77, respectively. We have considered Trimitra Prawara's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
835.00
827.23
Downside
835.00
After-hype Price
842.77
Upside
Trimitra Prawara is very steady at this time. Analysis and calculation of next after-hype price of Trimitra Prawara Goldland is based on 3 months time horizon.

Trimitra Prawara Stock Price Outlook Analysis

Have you ever been surprised when a price of a Company such as Trimitra Prawara is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Trimitra Prawara backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Trimitra Prawara, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  3.73 
7.77
 0.00  
 0.00  
0 Events / Month
0 Events / Month
In 5 to 10 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
835.00
835.00
0.00 
0.00  
Notes

Trimitra Prawara Hype Timeline

Trimitra Prawara Goldland is presently traded for 835.00on Jakarta Exchange of Indonesia. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Trimitra is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is presently at 3.73%. %. The volatility of related hype on Trimitra Prawara is about 0.0%, with the expected price after the next announcement by competition of 835.00. The company last dividend was issued on the 4th of August 2022. Assuming the 90 days trading horizon the next forecasted press release will be in 5 to 10 days.
Check out Historical Fundamental Analysis of Trimitra Prawara to cross-verify your projections.

Trimitra Prawara Related Hype Analysis

Having access to credible news sources related to Trimitra Prawara's direct competition is more important than ever and may enhance your ability to predict Trimitra Prawara's future price movements. Getting to know how Trimitra Prawara's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Trimitra Prawara may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
BAIKPT Bersama Mencapai 0.00 0 per month 1.96  0.25  20.98 (2.81) 49.62 
RAFIPT Sari Kreasi 0.00 0 per month 3.95  0.18  9.38 (8.57) 18.82 
YELOYelooo Integra Datanet 0.00 0 per month 3.96  0.1  9.88 (9.09) 29.79 
ESIPSinergi Inti Plastindo 0.00 0 per month 0.00 (0.03) 9.91 (14.16) 48.68 
PICOPelangi Indah Canindo 0.00 0 per month 0.00 (0.03) 6.90 (5.08) 27.66 
TOOLPT Rohartindo Nusantara 0.00 0 per month 2.17  0.11  4.69 (2.99) 33.19 
BATASepatu Bata Tbk 0.00 0 per month 5.13  0.12  9.76 (9.80) 20.00 
GEMAGema Grahasarana Tbk 0.00 0 per month 0.00 (0.08) 4.08 (3.23) 14.98 
KICIKedaung Indah Can 0.00 0 per month 3.74  0.06  11.46 (7.89) 46.75 
SPREPT Soraya Berjaya 0.00 0 per month 2.90  0.36  9.88 (5.45) 19.95 

Other Forecasting Options for Trimitra Prawara

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

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

Trimitra Prawara Market Strength Events

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

Trimitra Prawara Risk Indicators

The analysis of Trimitra Prawara'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 Trimitra Prawara's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting trimitra 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.

Story Coverage note for Trimitra Prawara

The number of cover stories for Trimitra Prawara depends on current market conditions and Trimitra Prawara's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Trimitra Prawara is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Trimitra Prawara's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Other Macroaxis Stories

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Trimitra Prawara Short Properties

Trimitra Prawara's future price predictability will typically decrease when Trimitra Prawara's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Trimitra Prawara Goldland often depends not only on the future outlook of the potential Trimitra Prawara's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Trimitra Prawara's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding1.2 B
Cash And Short Term Investments10.2 B

Other Information on Investing in Trimitra Stock

Trimitra Prawara financial ratios help investors to determine whether Trimitra 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 Trimitra with respect to the benefits of owning Trimitra Prawara security.