PT Mitra Pink Sheet Forecast - Naive Prediction

PMDKF Stock  USD 0.05  0.00  0.00%   
PMDKF Pink Sheet outlook is based on your current time horizon. We recommend always using this module together with an analysis of PT Mitra's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 26th of January 2026 the relative strength index (rsi) of PT Mitra's share price is below 20 indicating that the pink sheet is significantly oversold. 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 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of PT Mitra's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of PT Mitra and does not consider all of the tangible or intangible factors available from PT Mitra's fundamental data. We analyze noise-free headlines and recent hype associated with PT Mitra Adiperkasa, which may create opportunities for some arbitrage if properly timed.
Using PT Mitra hype-based prediction, you can estimate the value of PT Mitra Adiperkasa from the perspective of PT Mitra response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of PT Mitra Adiperkasa on the next trading day is expected to be 0.05 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.

PT Mitra after-hype prediction price

    
  USD 0.05  
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of PT Mitra to cross-verify your projections.

PT Mitra Additional Predictive Modules

Most predictive techniques to examine PMDKF price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for PMDKF using various technical indicators. When you analyze PMDKF 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.
A naive forecasting model for PT Mitra is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of PT Mitra Adiperkasa value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

PT Mitra Naive Prediction Price Forecast For the 27th of January

Given 90 days horizon, the Naive Prediction forecasted value of PT Mitra Adiperkasa on the next trading day is expected to be 0.05 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.
Please note that although there have been many attempts to predict PMDKF Pink Sheet 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 Mitra's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

PT Mitra Pink Sheet Forecast Pattern

Backtest PT Mitra  PT Mitra Price Prediction  Buy or Sell Advice  

PT Mitra Forecasted Value

In the context of forecasting PT Mitra's Pink Sheet 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 Mitra's downside and upside margins for the forecasting period are 0.05 and 0.05, respectively. We have considered PT Mitra'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
0.05
0.05
Expected Value
0.05
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of PT Mitra pink sheet data series using in forecasting. Note that when a statistical model is used to represent PT Mitra pink sheet, 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 Criteria44.3239
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
This model is not at all useful as a medium-long range forecasting tool of PT Mitra Adiperkasa. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict PT Mitra. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for PT Mitra

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 Mitra Adiperkasa. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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
0.050.050.05
Details
Intrinsic
Valuation
LowRealHigh
0.040.040.06
Details

PT Mitra After-Hype Price Density Analysis

As far as predicting the price of PT Mitra 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 PT Mitra 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 Pink Sheet prices, such as prices of PT Mitra, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

PT Mitra Estimiated After-Hype Price Volatility

In the context of predicting PT Mitra's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on PT Mitra's historical news coverage. PT Mitra's after-hype downside and upside margins for the prediction period are 0.05 and 0.05, respectively. We have considered PT Mitra'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
0.05
0.05
After-hype Price
0.05
Upside
PT Mitra is very steady at this time. Analysis and calculation of next after-hype price of PT Mitra Adiperkasa is based on 3 months time horizon.

PT Mitra Pink Sheet Price Outlook Analysis

Have you ever been surprised when a price of a Company such as PT Mitra is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading PT Mitra 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 Pink Sheet 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 PT Mitra, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
 0.00  
0.00
 0.00  
 0.00  
0 Events / Month
0 Events / Month
Within a week
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
0.05
0.05
0.00 
0.00  
Notes

PT Mitra Hype Timeline

PT Mitra Adiperkasa is at this time traded for 0.05. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. PMDKF 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 at this time at 0.0%. %. The volatility of related hype on PT Mitra is about 0.0%, with the expected price after the next announcement by competition of 0.05. About 19.0% of the company shares are owned by institutional investors. The book value of PT Mitra was at this time reported as 0.02. The company last dividend was issued on the 28th of May 2019. PT Mitra Adiperkasa had 10:1 split on the 4th of June 2018. Assuming the 90 days horizon the next forecasted press release will be within a week.
Check out Historical Fundamental Analysis of PT Mitra to cross-verify your projections.

PT Mitra Related Hype Analysis

Having access to credible news sources related to PT Mitra's direct competition is more important than ever and may enhance your ability to predict PT Mitra's future price movements. Getting to know how PT Mitra'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 PT Mitra 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
LCMRFLa Comer SAB 0.00 0 per month 0.00 (0.05) 0.00  0.00  37.01 
RRETYRobinsons Retail Holdings 0.00 0 per month 0.00 (0.11) 0.00  0.00  11.97 
TIANFTianneng Power International 0.00 0 per month 0.00  0.06  0.00  0.00  9.64 
AMGDFAston Martin Lagonda 0.00 0 per month 2.21 (0.03) 3.85 (3.85) 20.08 
LENTYLenta PLC 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
ARGGYAston Martin Lagonda 0.00 0 per month 0.00 (0.04) 3.95 (3.66) 11.52 
CZASFChina ZhengTong Auto 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
NSNHFNissan Shatai Co 0.00 0 per month 0.00  0.02  0.00  0.00  6.41 
JDWPFJ D Wetherspoon 0.00 0 per month 0.00 (0.22) 0.00  0.00  6.76 
DMPZFDominos Pizza Group 0.20 12 per month 0.00 (0.12) 0.00 (2.04) 17.42 

Other Forecasting Options for PT Mitra

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

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

PT Mitra Market Strength Events

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

Story Coverage note for PT Mitra

The number of cover stories for PT Mitra depends on current market conditions and PT Mitra's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that PT Mitra 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 PT Mitra's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

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Other Information on Investing in PMDKF Pink Sheet

PT Mitra financial ratios help investors to determine whether PMDKF Pink Sheet 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 PMDKF with respect to the benefits of owning PT Mitra security.