Peer To Peer Stock Odds of Future Pink Sheet Price Finishing Under 2.57E-4
| PTOP Stock | USD 0.0003 0.0001 25.00% |
Peer |
Peer To Target Price Odds to finish below 2.57E-4
The tendency of Peer Pink Sheet price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to drop to $ 0.0003 or more in 90 days |
| 0.0003 | 90 days | 0.0003 | about 51.33 |
Based on a normal probability distribution, the odds of Peer To to drop to $ 0.0003 or more in 90 days from now is about 51.33 (This Peer To Peer probability density function shows the probability of Peer Pink Sheet to fall within a particular range of prices over 90 days) . Probability of Peer To Peer price to stay between $ 0.0003 and its current price of $3.0E-4 at the end of the 90-day period is about 27.49 .
Given the investment horizon of 90 days the pink sheet has the beta coefficient of 6.7 indicating as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, Peer To will likely underperform. In addition to that Peer To Peer has an alpha of 4.1409, implying that it can generate a 4.14 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Peer To Price Density |
| Price |
Predictive Modules for Peer To
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Peer To Peer. 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.Peer To Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Peer To is not an exception. The market had few large corrections towards the Peer To's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Peer To Peer, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Peer To within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 4.14 | |
β | Beta against Dow Jones | 6.70 | |
σ | Overall volatility | 0.000056 | |
Ir | Information ratio | 0.14 |
Peer To Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Peer To for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Peer To Peer can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Peer To Peer is way too risky over 90 days horizon | |
| Peer To Peer has some characteristics of a very speculative penny stock | |
| Peer To Peer appears to be risky and price may revert if volatility continues | |
| Peer To Peer has high likelihood to experience some financial distress in the next 2 years | |
| The company reported the previous year's revenue of 1.78 K. Net Loss for the year was (395.58 K) with loss before overhead, payroll, taxes, and interest of (144.76 K). | |
| Peer To Peer currently holds about 1 in cash with (221.15 K) of positive cash flow from operations. | |
| Roughly 93.0% of the company outstanding shares are owned by corporate insiders |
Peer To Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Peer Pink Sheet often depends not only on the future outlook of the current and potential Peer To'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. Peer To's indicators that are reflective of the short sentiment are summarized in the table below.
| Short Long Term Debt | 34.5 K | |
| Shares Float | 222.1 M |
Peer To Technical Analysis
Peer To's future price can be derived by breaking down and analyzing its technical indicators over time. Peer Pink Sheet technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Peer To Peer. In general, you should focus on analyzing Peer Pink Sheet price patterns and their correlations with different microeconomic environments and drivers.
Peer To Predictive Forecast Models
Peer To's time-series forecasting models is one of many Peer To's pink sheet analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Peer To's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the pink sheet market movement and maximize returns from investment trading.
Things to note about Peer To Peer
Checking the ongoing alerts about Peer To for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Peer To Peer help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Peer To Peer is way too risky over 90 days horizon | |
| Peer To Peer has some characteristics of a very speculative penny stock | |
| Peer To Peer appears to be risky and price may revert if volatility continues | |
| Peer To Peer has high likelihood to experience some financial distress in the next 2 years | |
| The company reported the previous year's revenue of 1.78 K. Net Loss for the year was (395.58 K) with loss before overhead, payroll, taxes, and interest of (144.76 K). | |
| Peer To Peer currently holds about 1 in cash with (221.15 K) of positive cash flow from operations. | |
| Roughly 93.0% of the company outstanding shares are owned by corporate insiders |
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.