Public PowerSA Pink Sheet Forecast - Simple Exponential Smoothing
| PUPOF Stock | USD 18.39 0.00 0.00% |
Public Pink Sheet outlook is based on your current time horizon. We recommend always using this module together with an analysis of Public PowerSA's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 27th of January 2026 The relative strength index (RSI) of Public PowerSA's share price is above 80 indicating that the pink sheet 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 100
Buy Peaked
Oversold | Overbought |
Using Public PowerSA hype-based prediction, you can estimate the value of Public Power from the perspective of Public PowerSA response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Public Power on the next trading day is expected to be 18.39 with a mean absolute deviation of 0.11 and the sum of the absolute errors of 6.47. Public PowerSA after-hype prediction price | USD 18.39 |
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.
Public |
Public PowerSA Additional Predictive Modules
Most predictive techniques to examine Public price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Public using various technical indicators. When you analyze Public 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 |
Public PowerSA Simple Exponential Smoothing Price Forecast For the 28th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Public Power on the next trading day is expected to be 18.39 with a mean absolute deviation of 0.11, mean absolute percentage error of 0.69, and the sum of the absolute errors of 6.47.Please note that although there have been many attempts to predict Public 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 Public PowerSA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Public PowerSA Pink Sheet Forecast Pattern
| Backtest Public PowerSA | Public PowerSA Price Prediction | Buy or Sell Advice |
Public PowerSA Forecasted Value
In the context of forecasting Public PowerSA'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. Public PowerSA's downside and upside margins for the forecasting period are 11.38 and 25.40, respectively. We have considered Public PowerSA'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 Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Public PowerSA pink sheet data series using in forecasting. Note that when a statistical model is used to represent Public PowerSA 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.| AIC | Akaike Information Criteria | 117.734 |
| Bias | Arithmetic mean of the errors | -0.1061 |
| MAD | Mean absolute deviation | 0.1061 |
| MAPE | Mean absolute percentage error | 0.0058 |
| SAE | Sum of the absolute errors | 6.47 |
Predictive Modules for Public PowerSA
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Public PowerSA. 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.Public PowerSA After-Hype Price Density Analysis
As far as predicting the price of Public PowerSA 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 Public PowerSA 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 Public PowerSA, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Public PowerSA Estimiated After-Hype Price Volatility
In the context of predicting Public PowerSA's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Public PowerSA's historical news coverage. Public PowerSA's after-hype downside and upside margins for the prediction period are 11.38 and 25.40, respectively. We have considered Public PowerSA'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
Public PowerSA is somewhat reliable at this time. Analysis and calculation of next after-hype price of Public PowerSA is based on 3 months time horizon.
Public PowerSA Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Public PowerSA is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Public PowerSA 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 Public PowerSA, 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 |
0.90 | 7.01 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
18.39 | 18.39 | 0.00 |
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Public PowerSA Hype Timeline
Public PowerSA is at this time traded for 18.39. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Public is estimated 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 estimated to be very small, whereas the daily expected return is at this time at 0.9%. %. The volatility of related hype on Public PowerSA is about 0.0%, with the expected price after the next announcement by competition of 18.39. About 34.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 0.52. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Public PowerSA last dividend was issued on the 20th of July 2015. Assuming the 90 days horizon the next estimated press release will be within a week. Check out Historical Fundamental Analysis of Public PowerSA to cross-verify your projections.Public PowerSA Related Hype Analysis
Having access to credible news sources related to Public PowerSA's direct competition is more important than ever and may enhance your ability to predict Public PowerSA's future price movements. Getting to know how Public PowerSA'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 Public PowerSA may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| DRXGF | Drax Group plc | 0.00 | 0 per month | 0.00 | 0.18 | 4.42 | 0.00 | 11.35 | |
| DRXGY | Drax Group PLC | 0.00 | 0 per month | 0.00 | 0.15 | 4.35 | 0.00 | 14.74 | |
| EDRWY | Electric Power Development | 0.00 | 0 per month | 0.00 | (0.19) | 0.00 | 0.00 | 7.60 | |
| EPWDF | Electric Power Development | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| STECF | Scatec ASA | 0.00 | 0 per month | 0.00 | 0.16 | 0.00 | 0.00 | 34.04 | |
| TEPCY | Tohoku Electric Power | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| CSGEF | China Suntien Green | 0.00 | 0 per month | 0.00 | (0.02) | 0.00 | 0.00 | 35.00 | |
| CGKEF | The Chugoku Electric | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| ENGGF | Enags SA | 0.00 | 0 per month | 0.00 | (0.23) | 0.00 | 0.00 | 4.70 | |
| BJWTY | Beijing Enterprises Water | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Other Forecasting Options for Public PowerSA
For every potential investor in Public, whether a beginner or expert, Public PowerSA's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Public Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Public. Basic forecasting techniques help filter out the noise by identifying Public PowerSA's price trends.Public PowerSA 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 Public PowerSA pink sheet to make a market-neutral strategy. Peer analysis of Public PowerSA could also be used in its relative valuation, which is a method of valuing Public PowerSA by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Public PowerSA Market Strength Events
Market strength indicators help investors to evaluate how Public PowerSA 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 Public PowerSA shares will generate the highest return on investment. By undertsting and applying Public PowerSA pink sheet market strength indicators, traders can identify Public Power entry and exit signals to maximize returns.
Public PowerSA Risk Indicators
The analysis of Public PowerSA'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 Public PowerSA's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting public pink sheet 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 | 1.62 | |||
| Standard Deviation | 6.68 | |||
| Variance | 44.64 |
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 Public PowerSA
The number of cover stories for Public PowerSA depends on current market conditions and Public PowerSA's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Public PowerSA 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 Public PowerSA'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 Public Pink Sheet
Public PowerSA financial ratios help investors to determine whether Public 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 Public with respect to the benefits of owning Public PowerSA security.