Peer To Peer Stock Price Prediction
| PTOP Stock | USD 0.06 0.01 13.64% |
Momentum 51
Impartial
Oversold | Overbought |
Using Peer To hype-based prediction, you can estimate the value of Peer To Peer from the perspective of Peer To 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 Peer To to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying Peer 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.
Peer To after-hype prediction price | USD 0.06 |
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.
Peer |
Peer To After-Hype Price Density Analysis
As far as predicting the price of Peer To 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 Peer To 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 Peer To, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Peer To Estimiated After-Hype Price Volatility
In the context of predicting Peer To's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Peer To's historical news coverage. Peer To's after-hype downside and upside margins for the prediction period are 0.00 and 17.09, respectively. We have considered Peer To'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
Peer To is out of control at this time. Analysis and calculation of next after-hype price of Peer To Peer is based on 3 months time horizon.
Peer To Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Peer To is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Peer To 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 Peer To, 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 |
0.62 | 16.40 | 0.01 | 0.01 | 4 Events / Month | 4 Events / Month | In about 4 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
0.06 | 0.06 | 4.00 |
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Peer To Hype Timeline
Peer To Peer is at this time traded for 0.06. The entity has historical hype elasticity of 0.01, and average elasticity to hype of competition of -0.01. Peer is estimated to decline in value after the next headline, with the price expected to drop to 0.06. 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 -4.0%, whereas the daily expected return is at this time at 0.62%. The volatility of related hype on Peer To is about 68333.33%, with the expected price after the next announcement by competition of 0.05. About 93.0% of the company outstanding shares are owned by corporate insiders. The company had not issued any dividends in recent years. Peer To Peer had 10:1 split on the 24th of February 2012. Given the investment horizon of 90 days the next estimated press release will be in about 4 days. Check out Peer To Basic Forecasting Models to cross-verify your projections.Peer To Related Hype Analysis
Having access to credible news sources related to Peer To's direct competition is more important than ever and may enhance your ability to predict Peer To's future price movements. Getting to know how Peer To'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 Peer To may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| ZTLLF | Zonetail | 0.00 | 0 per month | 0.00 | (0.20) | 0.00 | 0.00 | 17.95 | |
| SWISF | Sekur Private Data | 0.01 | 4 per month | 9.69 | 0.13 | 22.41 | (18.48) | 56.65 | |
| CDTAF | Carl Data Solutions | 0.00 | 0 per month | 5.37 | (0.01) | 11.11 | (10.46) | 56.27 | |
| CRYBF | Cryptoblox Technologies | (0.27) | 4 per month | 9.17 | 0.04 | 21.64 | (14.25) | 51.03 | |
| VSMR | Verify Smart Corp | 0.00 | 0 per month | 0.00 | 0.02 | 9.26 | (15.25) | 124.81 | |
| EVOL | Evolving Systems | 0.00 | 0 per month | 0.00 | 0.06 | 2.50 | 0.00 | 42.04 | |
| LVWD | Liveworld | 0.00 | 0 per month | 5.18 | 0.09 | 11.11 | (10.00) | 43.18 | |
| FERN | Fernhill Corp | 0.01 | 8 per month | 6.66 | 0.09 | 15.38 | (13.33) | 38.91 | |
| KNRLF | Kontrol Technologies Corp | 0.00 | 0 per month | 0.00 | (0.06) | 10.91 | (11.29) | 32.12 | |
| ONEI | OneMeta AI | 0.01 | 4 per month | 8.69 | 0.03 | 20.00 | (15.79) | 66.67 |
Peer To Additional Predictive Modules
Most predictive techniques to examine Peer price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Peer using various technical indicators. When you analyze Peer 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 Peer To Predictive Indicators
The successful prediction of Peer To 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 Peer To Peer, 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 Peer To based on analysis of Peer To hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Peer To's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Peer To's related companies.
Pair Trading with Peer To
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Peer To position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Peer To will appreciate offsetting losses from the drop in the long position's value.Moving against Peer Pink Sheet
| 0.62 | MRK | Merck Company | PairCorr |
| 0.61 | JNJ | Johnson Johnson | PairCorr |
| 0.58 | SMFG | Sumitomo Mitsui Financial Earnings Call This Week | PairCorr |
| 0.58 | SMFNF | Sumitomo Mitsui Financial Earnings Call This Week | PairCorr |
| 0.58 | WMT | Walmart Common Stock Sell-off Trend | PairCorr |
| 0.48 | MFG | Mizuho Financial Earnings Call This Week | PairCorr |
The ability to find closely correlated positions to Peer To could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Peer To when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Peer To - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Peer To Peer to buy it.
The correlation of Peer To is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Peer To moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Peer To Peer moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Peer To can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Peer Pink Sheet Analysis
When running Peer To's price analysis, check to measure Peer To's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Peer To is operating at the current time. Most of Peer To's value examination focuses on studying past and present price action to predict the probability of Peer To's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Peer To's price. Additionally, you may evaluate how the addition of Peer To to your portfolios can decrease your overall portfolio volatility.