Social Life Pink Sheet Forward View
| WDLF Stock | USD 0.0004 0.0001 33.33% |
Social Pink Sheet outlook is based on your current time horizon. We recommend always using this module together with an analysis of Social Life's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 1st of February 2026, The relative strength index (RSI) of Social Life's share price is at 52. This entails that the pink sheet is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Social Life, making its price go up or down. Momentum 52
Impartial
Oversold | Overbought |
Using Social Life hype-based prediction, you can estimate the value of Social Life Network from the perspective of Social Life response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Social Life Network on the next trading day is expected to be 0.0004 with a mean absolute deviation of 0.000035 and the sum of the absolute errors of 0. Social Life after-hype prediction price | USD 2.73E-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.
Social |
Social Life Additional Predictive Modules
Most predictive techniques to examine Social price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Social using various technical indicators. When you analyze Social 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 |
Social Life Naive Prediction Price Forecast For the 2nd of February
Given 90 days horizon, the Naive Prediction forecasted value of Social Life Network on the next trading day is expected to be 0.0004 with a mean absolute deviation of 0.000035, 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 Social 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 Social Life's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Social Life Pink Sheet Forecast Pattern
| Backtest Social Life | Social Life Price Prediction | Buy or Sell Advice |
Social Life Forecasted Value
In the context of forecasting Social Life'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. Social Life's downside and upside margins for the forecasting period are 0.000004 and 18.84, respectively. We have considered Social Life'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 Social Life pink sheet data series using in forecasting. Note that when a statistical model is used to represent Social Life 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 | 97.9502 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 0.1033 |
| SAE | Sum of the absolute errors | 0.0022 |
Predictive Modules for Social Life
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Social Life Network. 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.Social Life After-Hype Price Density Analysis
As far as predicting the price of Social Life 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 Social Life 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 Social Life, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Social Life Estimiated After-Hype Price Volatility
In the context of predicting Social Life's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Social Life's historical news coverage. Social Life's after-hype downside and upside margins for the prediction period are 0.00 and 18.84, respectively. We have considered Social Life'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
Social Life is out of control at this time. Analysis and calculation of next after-hype price of Social Life Network is based on 3 months time horizon.
Social Life Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Social Life is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Social Life 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 Social Life, 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 |
2.15 | 18.84 | 0.09 | 0.01 | 7 Events / Month | 5 Events / Month | In about 7 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
0.0004 | 0.0003 | 31.75 |
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Social Life Hype Timeline
Social Life Network is at this time traded for 0.0004. The entity has historical hype elasticity of -0.09, and average elasticity to hype of competition of -0.01. Social is expected to decline in value after the next headline, with the price expected to drop to 2.73E-4. The average volatility of media hype impact on the company price is over 100%. The price decrease on the next news is expected to be -31.75%, whereas the daily expected return is at this time at 2.15%. The volatility of related hype on Social Life is about 314000.0%, with the expected price after the next announcement by competition of -0.01. The company had not issued any dividends in recent years. Social Life Network had 1:5000 split on the 11th of April 2016. Given the investment horizon of 90 days the next expected press release will be in about 7 days. Check out Historical Fundamental Analysis of Social Life to cross-verify your projections.Social Life Related Hype Analysis
Having access to credible news sources related to Social Life's direct competition is more important than ever and may enhance your ability to predict Social Life's future price movements. Getting to know how Social Life'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 Social Life may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| XCLL | Xcelmobility | (0.04) | 14 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| LUXFF | Luxxfolio Holdings | (0.04) | 22 per month | 0.00 | (0.01) | 23.53 | (19.05) | 81.54 | |
| OPTL | Optimum Interactive USA | 0.00 | 1 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| ROIUF | Route1 Inc | (0.04) | 9 per month | 0.00 | (0.07) | 0.00 | 0.00 | 54.77 | |
| ABQQ | AB International Group | (0.04) | 4 per month | 20.42 | 0.16 | 100.00 | (50.00) | 366.57 | |
| OMQS | Omniq Corp | 0.38 | 6 per month | 0.00 | (0.02) | 18.75 | (16.00) | 60.99 | |
| BWLKF | Boardwalktech Software Corp | (0.04) | 22 per month | 7.30 | 0 | 13.64 | (16.67) | 57.35 | |
| WRCDF | Wirecard AG | 0.00 | 0 per month | 0.00 | 0.16 | 33.33 | 0.00 | 995.00 | |
| CLRI | Cleartronic | (0.04) | 14 per month | 6.78 | 0.04 | 20.00 | (11.33) | 78.19 | |
| XYLB | Xy Labs | (0.20) | 21 per month | 0.00 | 0.07 | 0.00 | (4.55) | 64.71 |
Other Forecasting Options for Social Life
For every potential investor in Social, whether a beginner or expert, Social Life's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Social Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Social. Basic forecasting techniques help filter out the noise by identifying Social Life's price trends.Social Life 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 Social Life pink sheet to make a market-neutral strategy. Peer analysis of Social Life could also be used in its relative valuation, which is a method of valuing Social Life by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Social Life Market Strength Events
Market strength indicators help investors to evaluate how Social Life 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 Social Life shares will generate the highest return on investment. By undertsting and applying Social Life pink sheet market strength indicators, traders can identify Social Life Network entry and exit signals to maximize returns.
Social Life Risk Indicators
The analysis of Social Life'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 Social Life's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting social 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 | 13.39 | |||
| Semi Deviation | 13.03 | |||
| Standard Deviation | 19.26 | |||
| Variance | 370.76 | |||
| Downside Variance | 673.08 | |||
| Semi Variance | 169.77 | |||
| Expected Short fall | (33.33) |
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 Social Life
The number of cover stories for Social Life depends on current market conditions and Social Life's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Social Life 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 Social Life's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
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Other Information on Investing in Social Pink Sheet
Social Life financial ratios help investors to determine whether Social 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 Social with respect to the benefits of owning Social Life security.