Friendable Pink Sheet Forward View - Polynomial Regression
| FDBL Stock | USD 0.0001 0.00 0.00% |
Friendable Pink Sheet outlook is based on your current time horizon.
As of now the relative strength index (rsi) of Friendable's share price is below 20 . This usually 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 Friendable hype-based prediction, you can estimate the value of Friendable from the perspective of Friendable response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Friendable on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. Friendable 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.
Friendable |
Friendable Additional Predictive Modules
Most predictive techniques to examine Friendable price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Friendable using various technical indicators. When you analyze Friendable 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 |
Friendable Polynomial Regression Price Forecast For the 31st of January
Given 90 days horizon, the Polynomial Regression forecasted value of Friendable on the next trading day is expected to be 0.0001 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 Friendable 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 Friendable's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Friendable Pink Sheet Forecast Pattern
| Backtest Friendable | Friendable Price Prediction | Buy or Sell Advice |
Friendable Forecasted Value
In the context of forecasting Friendable'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. Friendable's downside and upside margins for the forecasting period are 0.0001 and 0.0001, respectively. We have considered Friendable'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Friendable pink sheet data series using in forecasting. Note that when a statistical model is used to represent Friendable 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 | 34.379 |
| 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 Friendable
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Friendable. 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.Friendable After-Hype Price Density Analysis
As far as predicting the price of Friendable 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 Friendable 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 Friendable, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Friendable Estimiated After-Hype Price Volatility
In the context of predicting Friendable's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Friendable's historical news coverage. Friendable's after-hype downside and upside margins for the prediction period are 0.00 and 0.00, respectively. We have considered Friendable'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
Friendable is very steady at this time. Analysis and calculation of next after-hype price of Friendable is based on 3 months time horizon.
Friendable Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Friendable is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Friendable 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 Friendable, 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 | 1 Events / Month | In a few days |
| 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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Friendable Hype Timeline
Friendable is currently traded for 0.0001. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Friendable 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 currently at 0.0%. %. The volatility of related hype on Friendable 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 28th of August 2019. Friendable had 1:500 split on the 19th of January 2023. Given the investment horizon of 90 days the next forecasted press release will be in a few days. Check out Historical Fundamental Analysis of Friendable to cross-verify your projections.Friendable Related Hype Analysis
Having access to credible news sources related to Friendable's direct competition is more important than ever and may enhance your ability to predict Friendable's future price movements. Getting to know how Friendable'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 Friendable may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| EDTA | E data | 0.00 | 8 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| SOFO | Sonic Foundry | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| SPHM | Spotlight Homes | 0.00 | 2 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| INOW | InfoNow | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| CLTY | Celerity Solutions | 0.01 | 2 per month | 0.00 | 0.17 | 0.00 | 0.00 | 900.00 | |
| CDRBQ | Code Rebel Corp | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| KBNT | Kubient | 0.00 | 0 per month | 0.00 | 0.07 | 0.00 | 0.00 | 166.67 | |
| FUEG | Face Up Entertainment | 0.00 | 8 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| HOKUQ | Hoku Corporation | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| TERA | TeraForce Technology | 0.00 | 2 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Other Forecasting Options for Friendable
For every potential investor in Friendable, whether a beginner or expert, Friendable's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Friendable Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Friendable. Basic forecasting techniques help filter out the noise by identifying Friendable's price trends.Friendable 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 Friendable pink sheet to make a market-neutral strategy. Peer analysis of Friendable could also be used in its relative valuation, which is a method of valuing Friendable by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Friendable Market Strength Events
Market strength indicators help investors to evaluate how Friendable 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 Friendable shares will generate the highest return on investment. By undertsting and applying Friendable pink sheet market strength indicators, traders can identify Friendable 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 Friendable
The number of cover stories for Friendable depends on current market conditions and Friendable's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Friendable 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 Friendable'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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Friendable Short Properties
Friendable's future price predictability will typically decrease when Friendable's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Friendable often depends not only on the future outlook of the potential Friendable's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Friendable's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 267.3 M | |
| Cash And Short Term Investments | 253.5 K |
Other Information on Investing in Friendable Pink Sheet
Friendable financial ratios help investors to determine whether Friendable 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 Friendable with respect to the benefits of owning Friendable security.