CV Chance of Future Crypto Coin Price Finishing Over 0.00
| CV Crypto | USD 0.0002 0.000001 0.42% |
CV |
CV Target Price Odds to finish over 0.00
The tendency of CV Crypto Coin 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 stay above $ 0.00 in 90 days |
| 0.0002 | 90 days | 0.00 | close to 99 |
Based on a normal probability distribution, the odds of CV to stay above $ 0.00 in 90 days from now is close to 99 (This CV probability density function shows the probability of CV Crypto Coin to fall within a particular range of prices over 90 days) . Probability of CV price to stay between $ 0.00 and its current price of $2.38E-4 at the end of the 90-day period is about 76.18 .
Assuming the 90 days horizon CV has a beta of 0.15 suggesting as returns on the market go up, CV average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding CV will be expected to be much smaller as well. Additionally CV has an alpha of 0.0935, implying that it can generate a 0.0935 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). CV Price Density |
| Price |
Predictive Modules for CV
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CV. Regardless of method or technology, however, to accurately forecast the crypto coin market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the crypto coin 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of CV's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
CV Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. CV is not an exception. The market had few large corrections towards the CV'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 CV, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of CV within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.09 | |
β | Beta against Dow Jones | 0.15 | |
σ | Overall volatility | 0.000014 | |
Ir | Information ratio | 0 |
CV 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 CV for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for CV can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| CV is not yet fully synchronised with the market data | |
| CV has some characteristics of a very speculative cryptocurrency |
CV Technical Analysis
CV's future price can be derived by breaking down and analyzing its technical indicators over time. CV Crypto Coin technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of CV. In general, you should focus on analyzing CV Crypto Coin price patterns and their correlations with different microeconomic environments and drivers.
CV Predictive Forecast Models
CV's time-series forecasting models is one of many CV's crypto coin 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 CV'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 crypto coin market movement and maximize returns from investment trading.
Things to note about CV
Checking the ongoing alerts about CV for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for CV help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| CV is not yet fully synchronised with the market data | |
| CV has some characteristics of a very speculative cryptocurrency |
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators. You can also try the Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.