Sharing Economy Pink Sheet Forecast - Simple Exponential Smoothing
| SEII Stock | USD 0.0001 0.00 0.00% |
Sharing Pink Sheet outlook is based on your current time horizon. We recommend always using this module together with an analysis of Sharing Economy's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 27th of January 2026 The relative strength index (RSI) of Sharing Economy's share price is above 80 . This usually implies 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 Sharing Economy hype-based prediction, you can estimate the value of Sharing Economy International from the perspective of Sharing Economy response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Sharing Economy International on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.00000167 and the sum of the absolute errors of 0.0001. Sharing Economy 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.
Sharing |
Sharing Economy Additional Predictive Modules
Most predictive techniques to examine Sharing price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Sharing using various technical indicators. When you analyze Sharing 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 |
Sharing Economy Simple Exponential Smoothing Price Forecast For the 28th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Sharing Economy International on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.00000167, mean absolute percentage error of 0, and the sum of the absolute errors of 0.0001.Please note that although there have been many attempts to predict Sharing 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 Sharing Economy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Sharing Economy Pink Sheet Forecast Pattern
| Backtest Sharing Economy | Sharing Economy Price Prediction | Buy or Sell Advice |
Sharing Economy Forecasted Value
In the context of forecasting Sharing Economy'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. Sharing Economy's downside and upside margins for the forecasting period are 0.000001 and 127.00, respectively. We have considered Sharing Economy'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 Sharing Economy pink sheet data series using in forecasting. Note that when a statistical model is used to represent Sharing Economy 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 | 93.7576 |
| 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 | 1.0E-4 |
Predictive Modules for Sharing Economy
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sharing Economy Inte. 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.Sharing Economy After-Hype Price Density Analysis
As far as predicting the price of Sharing Economy 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 Sharing Economy 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 Sharing Economy, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Sharing Economy Estimiated After-Hype Price Volatility
In the context of predicting Sharing Economy's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Sharing Economy's historical news coverage. Sharing Economy's after-hype downside and upside margins for the prediction period are 0.00 and 50.01, respectively. We have considered Sharing Economy'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
Sharing Economy is out of control at this time. Analysis and calculation of next after-hype price of Sharing Economy Inte is based on 3 months time horizon.
Sharing Economy Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Sharing Economy is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Sharing Economy 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 Sharing Economy, 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 |
16.13 | 127.00 | 0.00 | 0.00 | 0 Events / Month | 2 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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Sharing Economy Hype Timeline
Sharing Economy Inte 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. Sharing 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 16.13%. %. The volatility of related hype on Sharing Economy is about 0.0%, with the expected price after the next announcement by competition of 0.00. About 67.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 0.53. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Sharing Economy Inte recorded a loss per share of 0.02. The entity last dividend was issued on the 13th of October 2020. The firm had 1:50 split on the 13th of October 2020. Given the investment horizon of 90 days the next forecasted press release will be within a week. Check out Historical Fundamental Analysis of Sharing Economy to cross-verify your projections.Sharing Economy Related Hype Analysis
Having access to credible news sources related to Sharing Economy's direct competition is more important than ever and may enhance your ability to predict Sharing Economy's future price movements. Getting to know how Sharing Economy'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 Sharing Economy may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| PKLBF | Perk Labs | 0.00 | 4 per month | 0.00 | 0.12 | 0.00 | 0.00 | 100.00 | |
| GMGT | Gaming Technologies Common | 0.00 | 3 per month | 0.00 | 0.12 | 0.00 | 0.00 | 200.00 | |
| GCLT | GainClients | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| STTTF | Splitit Payments | 0.00 | 3 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| SDEC | Smart Decision | 0.00 | 2 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| ADSV | Allied Security Innovations | 0.00 | 4 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| RGGI | Resgreen Group International | 0.00 | 6 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| SPYR | SPYR Inc | 0.00 | 0 per month | 0.00 | 0.14 | 50.00 | 0.00 | 150.00 | |
| IWSY | Imageware Sys | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| CPWY | Clean Energy Pathway | 0.00 | 0 per month | 0.00 | (0.14) | 0.00 | 0.00 | 50.00 |
Other Forecasting Options for Sharing Economy
For every potential investor in Sharing, whether a beginner or expert, Sharing Economy's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Sharing Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Sharing. Basic forecasting techniques help filter out the noise by identifying Sharing Economy's price trends.Sharing Economy 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 Sharing Economy pink sheet to make a market-neutral strategy. Peer analysis of Sharing Economy could also be used in its relative valuation, which is a method of valuing Sharing Economy by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Sharing Economy Market Strength Events
Market strength indicators help investors to evaluate how Sharing Economy 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 Sharing Economy shares will generate the highest return on investment. By undertsting and applying Sharing Economy pink sheet market strength indicators, traders can identify Sharing Economy International 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 | |||
| Relative Strength Index | 100.0 |
Story Coverage note for Sharing Economy
The number of cover stories for Sharing Economy depends on current market conditions and Sharing Economy's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Sharing Economy 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 Sharing Economy'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 Sharing Pink Sheet
Sharing Economy financial ratios help investors to determine whether Sharing 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 Sharing with respect to the benefits of owning Sharing Economy security.