Appswarm Stock Price Prediction
| SWRM Stock | USD 0.0003 0.0001 50.00% |
Oversold Vs Overbought
51
Oversold | Overbought |
Using Appswarm hype-based prediction, you can estimate the value of Appswarm from the perspective of Appswarm response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in Appswarm to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying Appswarm because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell pink sheets at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Appswarm after-hype prediction price | USD 3.17E-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.
Appswarm |
Appswarm After-Hype Price Prediction Density Analysis
As far as predicting the price of Appswarm 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 Appswarm 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 Appswarm, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Appswarm Estimiated After-Hype Price Volatility
In the context of predicting Appswarm's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Appswarm's historical news coverage. Appswarm's after-hype downside and upside margins for the prediction period are 0.00 and 15.23, respectively. We have considered Appswarm'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
Appswarm is out of control at this time. Analysis and calculation of next after-hype price of Appswarm is based on 3 months time horizon.
Appswarm Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Appswarm is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Appswarm 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 Appswarm, 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 |
1.06 | 15.23 | 0.00 | 4.90 | 0 Events / Month | 7 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
0.0003 | 0.0003 | 5.70 |
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Appswarm Hype Timeline
Appswarm is at this time traded for 0.0003. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -4.9. Appswarm is projected to increase in value after the next headline, with the price projected to jump to 3.17E-4 or above. The average volatility of media hype impact on the company the price is insignificant. The price boost on the next news is estimated to be 5.7%, whereas the daily expected return is at this time at 1.06%. The volatility of related hype on Appswarm is about 329.65%, with the expected price after the next announcement by competition of -4.9. Appswarm currently holds about 57.45 K in cash with 123.75 K of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 0.75, which can makes it an attractive takeover target, given it will continue generating positive cash flow. Given the investment horizon of 90 days the next projected press release will be within a week. Check out Appswarm Basic Forecasting Models to cross-verify your projections.Appswarm Related Hype Analysis
Having access to credible news sources related to Appswarm's direct competition is more important than ever and may enhance your ability to predict Appswarm's future price movements. Getting to know how Appswarm'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 Appswarm may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CRM | Salesforce | (1.67) | 7 per month | 0.92 | 0.17 | 3.18 | (1.91) | 9.09 | |
| SAP | SAP SE ADR | (1.20) | 10 per month | 1.14 | 0.01 | 2.16 | (1.91) | 6.50 | |
| NOW | ServiceNow | (9.20) | 8 per month | 1.23 | 0.14 | 3.04 | (2.24) | 8.12 | |
| INTU | Intuit Inc | (0.82) | 8 per month | 1.85 | (0.04) | 3.34 | (2.37) | 9.88 | |
| UBER | Uber Technologies | 1.15 | 7 per month | 0.00 | (0.07) | 2.53 | (2.44) | 20.10 | |
| SHOP | Shopify | (6.21) | 8 per month | 1.70 | 0.13 | 4.91 | (2.68) | 26.26 | |
| APP | Applovin Corp | (6.04) | 10 per month | 0.75 | 0.30 | 9.39 | (2.70) | 48.02 | |
| MSTR | MicroStrategy Incorporated | (14.10) | 6 per month | 4.01 | 0.25 | 12.96 | (6.05) | 33.64 | |
| CDNS | Cadence Design Systems | (3.49) | 11 per month | 2.08 | 0.01 | 3.47 | (4.40) | 17.32 |
Appswarm Additional Predictive Modules
Most predictive techniques to examine Appswarm price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Appswarm using various technical indicators. When you analyze Appswarm 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 |
About Appswarm Predictive Indicators
The successful prediction of Appswarm stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Appswarm, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Appswarm based on analysis of Appswarm hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Appswarm's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Appswarm's related companies.
Story Coverage note for Appswarm
The number of cover stories for Appswarm depends on current market conditions and Appswarm's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Appswarm 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 Appswarm'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 Appswarm Pink Sheet
Appswarm financial ratios help investors to determine whether Appswarm 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 Appswarm with respect to the benefits of owning Appswarm security.