JPO Solutions Pink Sheet Forward View - Simple Regression
| MOPN Stock | USD 0.0002 0 83.33% |
JPO Pink Sheet outlook is based on your current time horizon.
As of today the relative strength index (rsi) of JPO Solutions' share price is below 20 . This indicates 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 JPO Solutions hype-based prediction, you can estimate the value of JPO Solutions from the perspective of JPO Solutions response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of JPO Solutions on the next trading day is expected to be 0.0003 with a mean absolute deviation of 0.0001 and the sum of the absolute errors of 0.01. JPO Solutions after-hype prediction price | USD 1.87E-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.
JPO |
JPO Solutions Additional Predictive Modules
Most predictive techniques to examine JPO price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for JPO using various technical indicators. When you analyze JPO 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 |
JPO Solutions Simple Regression Price Forecast For the 11th of February 2026
Given 90 days horizon, the Simple Regression forecasted value of JPO Solutions on the next trading day is expected to be 0.0003 with a mean absolute deviation of 0.0001, mean absolute percentage error of 0.00000005, and the sum of the absolute errors of 0.01.Please note that although there have been many attempts to predict JPO 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 JPO Solutions' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
JPO Solutions Pink Sheet Forecast Pattern
| Backtest JPO Solutions | JPO Solutions Price Prediction | Research Analysis |
JPO Solutions Forecasted Value
In the context of forecasting JPO Solutions' 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. JPO Solutions' downside and upside margins for the forecasting period are 0.000002 and 127.61, respectively. We have considered JPO Solutions' 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 JPO Solutions pink sheet data series using in forecasting. Note that when a statistical model is used to represent JPO Solutions 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 | 101.2745 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.0E-4 |
| MAPE | Mean absolute percentage error | 0.7459 |
| SAE | Sum of the absolute errors | 0.0072 |
Predictive Modules for JPO Solutions
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as JPO Solutions. 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.JPO Solutions After-Hype Price Density Analysis
As far as predicting the price of JPO Solutions 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 JPO Solutions 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 JPO Solutions, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
JPO Solutions Estimiated After-Hype Price Volatility
In the context of predicting JPO Solutions' pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on JPO Solutions' historical news coverage. JPO Solutions' after-hype downside and upside margins for the prediction period are 0.00 and 50.01, respectively. We have considered JPO Solutions' 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
JPO Solutions is out of control at this time. Analysis and calculation of next after-hype price of JPO Solutions is based on 3 months time horizon.
JPO Solutions Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as JPO Solutions is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading JPO Solutions 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 JPO Solutions, 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 |
14.78 | 127.61 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Uncertain |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
0.0002 | 0.0002 | 6.43 |
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JPO Solutions Hype Timeline
JPO Solutions is now traded for 0.0002. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. JPO is projected to decline in value after the next headline, with the price expected to drop to 1.87E-4. The average volatility of media hype impact on the company price is insignificant. The price decrease on the next news is expected to be -6.43%, whereas the daily expected return is now at 14.78%. The volatility of related hype on JPO Solutions is about 0.0%, with the expected price after the next announcement by competition of 0.00. The company recorded a loss per share of 0.0. JPO Solutions had not issued any dividends in recent years. The entity had 2:1 split on the 26th of June 2006. Given the investment horizon of 90 days the next projected press release will be uncertain. Check out Historical Fundamental Analysis of JPO Solutions to cross-verify your projections.JPO Solutions Related Hype Analysis
Having access to credible news sources related to JPO Solutions' direct competition is more important than ever and may enhance your ability to predict JPO Solutions' future price movements. Getting to know how JPO Solutions' 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 JPO Solutions may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| INTK | Industrial Nanotech | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| CBNT | C Bond Systems | 0.00 | 0 per month | 0.00 | 0 | 0.00 | 0.00 | 100.00 | |
| RFXRF | Running Fox Resource | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| XMTTF | Xmet Inc | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| GPHBF | G6 Materials Corp | 0.00 | 0 per month | 0.00 | 0.12 | 0.00 | 0.00 | 100.00 | |
| TRII | Trio Resources | 0.00 | 0 per month | 0.00 | 0.10 | 9.09 | 0.00 | 98.05 | |
| TRYRF | Troy Resources Limited | 0.00 | 0 per month | 0.00 | 0.07 | 0.00 | 0.00 | 266.67 | |
| SLSDF | Select Sands Corp | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| HYDI | Hydromer | 0.00 | 0 per month | 0.00 | 0.13 | 14.29 | 0.00 | 375.76 | |
| BUSC | Blue Star Global | 0.00 | 0 per month | 0.00 | 0.15 | 9.60 | (0.40) | 1,912 |
Other Forecasting Options for JPO Solutions
For every potential investor in JPO, whether a beginner or expert, JPO Solutions' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. JPO Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in JPO. Basic forecasting techniques help filter out the noise by identifying JPO Solutions' price trends.JPO Solutions 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 JPO Solutions pink sheet to make a market-neutral strategy. Peer analysis of JPO Solutions could also be used in its relative valuation, which is a method of valuing JPO Solutions by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
JPO Solutions Market Strength Events
Market strength indicators help investors to evaluate how JPO Solutions 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 JPO Solutions shares will generate the highest return on investment. By undertsting and applying JPO Solutions pink sheet market strength indicators, traders can identify JPO Solutions entry and exit signals to maximize returns.
| Rate Of Daily Change | 0.17 | |||
| Day Median Price | 2.0E-4 | |||
| Day Typical Price | 2.0E-4 | |||
| Price Action Indicator | (0.0005) | |||
| Period Momentum Indicator | (0) |
JPO Solutions Risk Indicators
The analysis of JPO Solutions' 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 JPO Solutions' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting jpo 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 | 32.87 | |||
| Standard Deviation | 135.95 | |||
| Variance | 18481.29 |
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 JPO Solutions
The number of cover stories for JPO Solutions depends on current market conditions and JPO Solutions' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that JPO Solutions 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 JPO Solutions' 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 JPO Pink Sheet
JPO Solutions financial ratios help investors to determine whether JPO 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 JPO with respect to the benefits of owning JPO Solutions security.