PT Bank Stock Forward View - Simple Regression
| BYRA Stock | EUR 0.19 0.01 5.56% |
BYRA Stock outlook is based on your current time horizon. We suggest always using this module together with an analysis of PT Bank's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 5th of February 2026 the relative strength index (rsi) of PT Bank's share price is below 20 suggesting that the stock 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 |
Quarterly Earnings Growth (0.06) | Quarterly Revenue Growth 0.065 |
Using PT Bank hype-based prediction, you can estimate the value of PT Bank Rakyat from the perspective of PT Bank response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of PT Bank Rakyat on the next trading day is expected to be 0.19 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.61. PT Bank after-hype prediction price | EUR 0.2 |
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.
BYRA |
PT Bank Additional Predictive Modules
Most predictive techniques to examine BYRA price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for BYRA using various technical indicators. When you analyze BYRA 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
PT Bank Simple Regression Price Forecast For the 6th of February
Given 90 days horizon, the Simple Regression forecasted value of PT Bank Rakyat on the next trading day is expected to be 0.19 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0006, and the sum of the absolute errors of 0.61.Please note that although there have been many attempts to predict BYRA Stock prices using its time series forecasting, we generally do not suggest 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 Bank's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
PT Bank Stock Forecast Pattern
| Backtest PT Bank | PT Bank Price Prediction | Research Analysis |
PT Bank Forecasted Value
In the context of forecasting PT Bank'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 Bank's downside and upside margins for the forecasting period are 0 and 130.96, respectively. We have considered PT Bank'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.
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 PT Bank stock data series using in forecasting. Note that when a statistical model is used to represent PT Bank 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.| AIC | Akaike Information Criteria | 110.7606 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.01 |
| MAPE | Mean absolute percentage error | 9.223372036854776E14 |
| SAE | Sum of the absolute errors | 0.6097 |
Predictive Modules for PT Bank
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 Bank Rakyat. 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.PT Bank After-Hype Price Density Analysis
As far as predicting the price of PT Bank 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 Bank 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 PT Bank, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
PT Bank Estimiated After-Hype Price Volatility
In the context of predicting PT Bank's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on PT Bank's historical news coverage. PT Bank's after-hype downside and upside margins for the prediction period are 0.01 and 59.70, respectively. We have considered PT Bank'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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
PT Bank is out of control at this time. Analysis and calculation of next after-hype price of PT Bank Rakyat is based on 3 months time horizon.
PT Bank Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as PT Bank is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading PT Bank 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 PT Bank, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
18.48 | 130.77 | 0.37 | 14.76 | 1 Events / Month | 1 Events / Month | Very soon |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
0.19 | 0.20 | 5.13 |
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PT Bank Hype Timeline
PT Bank Rakyat is currently traded for 0.19on Frankfurt Exchange of Germany. The entity has historical hype elasticity of 0.37, and average elasticity to hype of competition of 14.76. BYRA is projected to increase in value after the next headline, with the price projected to jump to 0.2 or above. The average volatility of media hype impact on the company the price is over 100%. The price rise on the next news is forecasted to be 5.13%, whereas the daily expected return is currently at -18.48%. The volatility of related hype on PT Bank is about 16375.49%, with the expected price after the next announcement by competition of 14.95. PT Bank Rakyat has accumulated about 6.77 B in cash with 24.28 T of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 0.05. Assuming the 90 days trading horizon the next projected press release will be very soon. Check out Historical Fundamental Analysis of PT Bank to cross-verify your projections.PT Bank Related Hype Analysis
Having access to credible news sources related to PT Bank's direct competition is more important than ever and may enhance your ability to predict PT Bank's future price movements. Getting to know how PT Bank'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 Bank may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| THM | Taylor Morrison Home | 4.50 | 8 per month | 1.37 | 0.04 | 3.41 | (1.92) | 10.58 | |
| 8G7 | LANDSEA GREEN MANAGEMENT | 0.00 | 4 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| A4XA | American Homes 4 | 1.00 | 8 per month | 0.00 | (0.10) | 2.26 | (2.29) | 6.58 | |
| 1NN | Neinor Homes SA | 0.38 | 6 per month | 0.99 | 0.13 | 2.40 | (2.21) | 5.07 | |
| DF0 | DFS Furniture PLC | (0.11) | 3 per month | 2.17 | 0.12 | 4.63 | (5.26) | 15.28 | |
| TG9 | Cleanaway Waste Management | 0.02 | 2 per month | 0.93 | (0.05) | 2.03 | (1.41) | 6.88 | |
| 4IV | INVITATION HOMES DL | (0.20) | 1 per month | 0.00 | (0.10) | 2.56 | (2.45) | 9.37 |
Other Forecasting Options for PT Bank
For every potential investor in BYRA, whether a beginner or expert, PT Bank's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. BYRA Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in BYRA. Basic forecasting techniques help filter out the noise by identifying PT Bank's price trends.PT Bank 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 Bank stock to make a market-neutral strategy. Peer analysis of PT Bank could also be used in its relative valuation, which is a method of valuing PT Bank by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
PT Bank Market Strength Events
Market strength indicators help investors to evaluate how PT Bank 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 Bank shares will generate the highest return on investment. By undertsting and applying PT Bank stock market strength indicators, traders can identify PT Bank Rakyat entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.06 | |||
| Day Median Price | 0.19 | |||
| Day Typical Price | 0.19 | |||
| Price Action Indicator | 0.005 | |||
| Period Momentum Indicator | 0.01 |
PT Bank Risk Indicators
The analysis of PT Bank'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 Bank's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting byra 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.
| Mean Deviation | 5.71 | |||
| Standard Deviation | 13.62 | |||
| Variance | 185.53 |
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 PT Bank
The number of cover stories for PT Bank depends on current market conditions and PT Bank'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 Bank 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 Bank'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 BYRA Stock
PT Bank financial ratios help investors to determine whether BYRA 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 BYRA with respect to the benefits of owning PT Bank security.