Skylight Health Pink Sheet Forward View
| SLHPFDelisted Stock | USD 0.0001 0.00 0.00% |
Skylight Pink Sheet outlook is based on your current time horizon. We suggest always using this module together with an analysis of Skylight Health's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 11th of February 2026 the relative strength index (rsi) of Skylight Health's share price is below 20 . This usually implies 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 Skylight Health hype-based prediction, you can estimate the value of Skylight Health Group from the perspective of Skylight Health response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Skylight Health Group on the next trading day is expected to be 0.000098 with a mean absolute deviation of 0.000031 and the sum of the absolute errors of 0.0007. Skylight Health 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.
Skylight |
Skylight Health Additional Predictive Modules
Most predictive techniques to examine Skylight price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Skylight using various technical indicators. When you analyze Skylight 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 |
Skylight Health Naive Prediction Price Forecast For the 12th of February 2026
Given 90 days horizon, the Naive Prediction forecasted value of Skylight Health Group on the next trading day is expected to be 0.000098 with a mean absolute deviation of 0.000031, mean absolute percentage error of 0, and the sum of the absolute errors of 0.0007.Please note that although there have been many attempts to predict Skylight 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 Skylight Health's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Skylight Health Pink Sheet Forecast Pattern
| Backtest Skylight Health | Skylight Health Price Prediction | Research Analysis |
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 Skylight Health pink sheet data series using in forecasting. Note that when a statistical model is used to represent Skylight Health 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 | 24.3256 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 9.223372036854776E14 |
| SAE | Sum of the absolute errors | 7.0E-4 |
Predictive Modules for Skylight Health
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Skylight Health Group. 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.Skylight Health After-Hype Price Density Analysis
As far as predicting the price of Skylight Health 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 Skylight Health 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 Skylight Health, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Skylight Health Estimiated After-Hype Price Volatility
In the context of predicting Skylight Health's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Skylight Health's historical news coverage. Skylight Health's after-hype downside and upside margins for the prediction period are 0.00 and 0.00, respectively. We have considered Skylight Health'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
Skylight Health is very steady at this time. Analysis and calculation of next after-hype price of Skylight Health Group is based on 3 months time horizon.
Skylight Health Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Skylight Health is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Skylight Health 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 Skylight Health, 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 |
|
Skylight Health Hype Timeline
Skylight Health Group 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. Skylight is projected 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 projected to be very small, whereas the daily expected return is at this time at 0.0%. %. The volatility of related hype on Skylight Health is about 0.0%, with the expected price after the next announcement by competition of 0.00. The company last dividend was issued on the 27th of February 2023. Assuming the 90 days horizon the next projected press release will be within a week. Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in inflation.Skylight Health Related Hype Analysis
Having access to credible news sources related to Skylight Health's direct competition is more important than ever and may enhance your ability to predict Skylight Health's future price movements. Getting to know how Skylight Health'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 Skylight Health may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| ERUC | ER Urgent Care | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| AHPIQ | Allied Healthcare Products | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| DMTKQ | DMTKQ | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| GTHR | GeneThera | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| CRYO | American Cryostem Corp | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| ABMC | Amer Bio Medica | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| LCAR | Lescarden | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| TAUG | Tauriga Sciences | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| ACCA | Acacia Diversified Holdings | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| INDR | Indie Ranch Media | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Skylight Health 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 Skylight Health pink sheet to make a market-neutral strategy. Peer analysis of Skylight Health could also be used in its relative valuation, which is a method of valuing Skylight Health by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Skylight Health Market Strength Events
Market strength indicators help investors to evaluate how Skylight Health 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 Skylight Health shares will generate the highest return on investment. By undertsting and applying Skylight Health pink sheet market strength indicators, traders can identify Skylight Health Group 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 Skylight Health
The number of cover stories for Skylight Health depends on current market conditions and Skylight Health's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Skylight Health 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 Skylight Health'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
Story Categories
Currently Trending Categories
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in inflation. You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
Other Consideration for investing in Skylight Pink Sheet
If you are still planning to invest in Skylight Health Group check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Skylight Health's history and understand the potential risks before investing.
| Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
| ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
| Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
| Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
| Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
| My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
| Crypto Correlations Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins | |
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon |