PME Pink Sheet Forward View
| PMEA Stock | USD 0.0001 0.00 0.00% |
PME Pink Sheet outlook is based on your current time horizon. Investors can use this forecasting interface to forecast PME stock prices and determine the direction of PME Inc's future trends based on various well-known forecasting models. We suggest always using this module together with an analysis of PME's historical fundamentals, such as revenue growth or operating cash flow patterns.
At this time the relative strength index (rsi) of PME'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 |
Using PME hype-based prediction, you can estimate the value of PME Inc from the perspective of PME response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of PME Inc on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. PME after-hype prediction price | USD 1.0E-4 |
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.
PME |
PME Additional Predictive Modules
Most predictive techniques to examine PME price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for PME using various technical indicators. When you analyze PME 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 |
PME Naive Prediction Price Forecast For the 7th of February
Given 90 days horizon, the Naive Prediction forecasted value of PME Inc on the next trading day is expected to be 0.0001 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 PME Pink Sheet 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 PME's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
PME Pink Sheet Forecast Pattern
| Backtest PME | PME Price Prediction | Research Analysis |
PME Forecasted Value
In the context of forecasting PME'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. PME's downside and upside margins for the forecasting period are 0.0001 and 0.0001, respectively. We have considered PME'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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of PME pink sheet data series using in forecasting. Note that when a statistical model is used to represent PME 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 | 30.385 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 0.0 |
| SAE | Sum of the absolute errors | 0.0 |
Predictive Modules for PME
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as PME Inc. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of PME's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
PME After-Hype Price Density Analysis
As far as predicting the price of PME 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 PME 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 PME, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
PME Estimiated After-Hype Price Volatility
In the context of predicting PME's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on PME's historical news coverage. PME's after-hype downside and upside margins for the prediction period are 0.00 and 0.00, respectively. We have considered PME'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
PME is very steady at this time. Analysis and calculation of next after-hype price of PME Inc is based on 3 months time horizon.
PME Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as PME is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading PME 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 PME, 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 |
0.00 | 0.00 | 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 | |
0.0001 | 0.0001 | 0.00 |
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PME Hype Timeline
PME Inc is at this time traded for 0.0001. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. PME 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 PME is about 0.0%, with the expected price after the next announcement by competition of 0.00. The company had not issued any dividends in recent years. Given the investment horizon of 90 days the next forecasted press release will be within a week. Check out Historical Fundamental Analysis of PME to cross-verify your projections.PME Related Hype Analysis
Having access to credible news sources related to PME's direct competition is more important than ever and may enhance your ability to predict PME's future price movements. Getting to know how PME'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 PME may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| LGTT | LIGATT Security International | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| PYBX | Hydro Power Technologies | 0.00 | 0 per month | 13.17 | 0.05 | 28.57 | (20.00) | 117.71 | |
| CGYV | China Energy Recovery | 0.00 | 0 per month | 0.00 | 0.1 | 0.00 | 0.00 | 480.00 | |
| MCTH | Medical Connections Holdings | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| AXXA | RCABS Inc | 0.00 | 0 per month | 12.51 | 0.10 | 33.33 | (25.00) | 83.33 | |
| LQWC | LifeQuest World | 0.00 | 0 per month | 9.67 | 0.05 | 21.95 | (18.03) | 58.50 | |
| ITEC | Intertech Solutions | 0.00 | 2 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| ATWT | ATWEC Technologies | 0.00 | 0 per month | 8.10 | 0.05 | 20.00 | (18.18) | 62.50 | |
| PSTO | Powerstorm Holdings | 0.00 | 0 per month | 0.00 | 0.12 | 0.00 | 0.00 | 91.96 | |
| RCHN | Rouchon Industries | 0.00 | 0 per month | 6.85 | 0.26 | 44.74 | (13.56) | 145.00 |
Other Forecasting Options for PME
For every potential investor in PME, whether a beginner or expert, PME's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. PME Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in PME. Basic forecasting techniques help filter out the noise by identifying PME's price trends.PME 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 PME pink sheet to make a market-neutral strategy. Peer analysis of PME could also be used in its relative valuation, which is a method of valuing PME by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
PME Market Strength Events
Market strength indicators help investors to evaluate how PME 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 PME shares will generate the highest return on investment. By undertsting and applying PME pink sheet market strength indicators, traders can identify PME Inc entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 1.0E-4 | |||
| Day Typical Price | 1.0E-4 |
Story Coverage note for PME
The number of cover stories for PME depends on current market conditions and PME's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that PME 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 PME'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 PME Pink Sheet
PME financial ratios help investors to determine whether PME 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 PME with respect to the benefits of owning PME security.