Pacific Online Pink Sheet Forecast - Naive Prediction
| PCOLF Stock | USD 0.04 0.00 0.00% |
Pacific Pink Sheet outlook is based on your current time horizon. We recommend always using this module together with an analysis of Pacific Online's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 29th of January 2026 the relative strength index (rsi) of Pacific Online'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 Pacific Online hype-based prediction, you can estimate the value of Pacific Online Limited from the perspective of Pacific Online response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Pacific Online Limited on the next trading day is expected to be 0.04 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. Pacific Online after-hype prediction price | USD 0.04 |
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.
Pacific |
Pacific Online Additional Predictive Modules
Most predictive techniques to examine Pacific price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Pacific using various technical indicators. When you analyze Pacific 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 |
Pacific Online Naive Prediction Price Forecast For the 30th of January
Given 90 days horizon, the Naive Prediction forecasted value of Pacific Online Limited on the next trading day is expected to be 0.04 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 Pacific 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 Pacific Online's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Pacific Online Pink Sheet Forecast Pattern
| Backtest Pacific Online | Pacific Online Price Prediction | Buy or Sell Advice |
Pacific Online Forecasted Value
In the context of forecasting Pacific Online'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. Pacific Online's downside and upside margins for the forecasting period are 0.04 and 0.04, respectively. We have considered Pacific Online'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 Pacific Online pink sheet data series using in forecasting. Note that when a statistical model is used to represent Pacific Online 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 | 43.2307 |
| 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 Pacific Online
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Pacific Online. 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.Pacific Online After-Hype Price Density Analysis
As far as predicting the price of Pacific Online 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 Pacific Online 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 Pacific Online, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Pacific Online Estimiated After-Hype Price Volatility
In the context of predicting Pacific Online's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Pacific Online's historical news coverage. Pacific Online's after-hype downside and upside margins for the prediction period are 0.04 and 0.04, respectively. We have considered Pacific Online'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
Pacific Online is not too volatile at this time. Analysis and calculation of next after-hype price of Pacific Online is based on 3 months time horizon.
Pacific Online Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Pacific Online is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Pacific Online 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 Pacific Online, 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 | 16 Events / Month | 5 Events / Month | In about 16 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
0.04 | 0.04 | 0.00 |
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Pacific Online Hype Timeline
Pacific Online is at this time traded for 0.04. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Pacific is expected 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 expected to be very small, whereas the daily expected return is at this time at 0.0%. %. The volatility of related hype on Pacific Online is about 0.0%, with the expected price after the next announcement by competition of 0.04. About 64.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 1.18. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Pacific Online last dividend was issued on the 6th of June 2022. The entity had 11:10 split on the 24th of May 2011. Assuming the 90 days horizon the next expected press release will be in about 16 days. Check out Historical Fundamental Analysis of Pacific Online to cross-verify your projections.Pacific Online Related Hype Analysis
Having access to credible news sources related to Pacific Online's direct competition is more important than ever and may enhance your ability to predict Pacific Online's future price movements. Getting to know how Pacific Online'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 Pacific Online may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CSIOY | Casio Computer Co | 0.18 | 3 per month | 1.38 | 0.01 | 3.09 | (2.87) | 7.45 | |
| SDA | SunCar Technology Group | 0.00 | 9 per month | 2.77 | 0.01 | 4.84 | (5.08) | 18.23 | |
| DXC | DXC Technology Co | 0.43 | 8 per month | 2.18 | 0.03 | 3.28 | (3.49) | 16.29 | |
| ITCJ | Infinite Technology Corp | 0.00 | 4 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| KGDEF | Kingdee International Software | 1.90 | 12 per month | 0.00 | (0.23) | 0.00 | 0.00 | 8.25 | |
| MTLHF | Mitsubishi Chemical Holdings | 0.73 | 3 per month | 0.00 | 0.02 | 1.67 | 0.00 | 16.75 | |
| ARTCU | Art Technology Acquisition | (0.01) | 3 per month | 0.00 | (0.83) | 0.10 | (0.10) | 0.20 | |
| AMKR | Amkor Technology | (3.18) | 10 per month | 3.16 | 0.16 | 8.71 | (6.31) | 25.50 |
Other Forecasting Options for Pacific Online
For every potential investor in Pacific, whether a beginner or expert, Pacific Online's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Pacific Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Pacific. Basic forecasting techniques help filter out the noise by identifying Pacific Online's price trends.Pacific Online 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 Pacific Online pink sheet to make a market-neutral strategy. Peer analysis of Pacific Online could also be used in its relative valuation, which is a method of valuing Pacific Online by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Pacific Online Market Strength Events
Market strength indicators help investors to evaluate how Pacific Online 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 Pacific Online shares will generate the highest return on investment. By undertsting and applying Pacific Online pink sheet market strength indicators, traders can identify Pacific Online Limited entry and exit signals to maximize returns.
Story Coverage note for Pacific Online
The number of cover stories for Pacific Online depends on current market conditions and Pacific Online's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Pacific Online 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 Pacific Online'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 Pacific Pink Sheet
Pacific Online financial ratios help investors to determine whether Pacific 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 Pacific with respect to the benefits of owning Pacific Online security.