Convex Finance Probability of Future Crypto Coin Price Finishing Over 16.61
| CVX Crypto | USD 6.31 0.07 1.10% |
Convex |
Convex Finance Target Price Odds to finish over 16.61
The tendency of Convex 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 move over $ 16.61 or more in 90 days |
| 6.31 | 90 days | 16.61 | near 1 |
Based on a normal probability distribution, the odds of Convex Finance to move over $ 16.61 or more in 90 days from now is near 1 (This Convex Finance probability density function shows the probability of Convex Crypto Coin to fall within a particular range of prices over 90 days) . Probability of Convex Finance price to stay between its current price of $ 6.31 and $ 16.61 at the end of the 90-day period is near 1 .
Assuming the 90 days trading horizon Convex Finance has a beta of -0.55 suggesting as returns on the benchmark increase, returns on holding Convex Finance are expected to decrease at a much lower rate. During a bear market, however, Convex Finance is likely to outperform the market. In addition to that Convex Finance has an alpha of 2.2121, implying that it can generate a 2.21 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Convex Finance Price Density |
| Price |
Predictive Modules for Convex Finance
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Convex Finance. 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.Convex Finance Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Convex Finance is not an exception. The market had few large corrections towards the Convex Finance'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 Convex Finance, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Convex Finance within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 2.21 | |
β | Beta against Dow Jones | -0.55 | |
σ | Overall volatility | 1.55 | |
Ir | Information ratio | 0.20 |
Convex Finance 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 Convex Finance for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Convex Finance can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Convex Finance is way too risky over 90 days horizon | |
| Convex Finance appears to be risky and price may revert if volatility continues |
Convex Finance Technical Analysis
Convex Finance's future price can be derived by breaking down and analyzing its technical indicators over time. Convex Crypto Coin technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Convex Finance. In general, you should focus on analyzing Convex Crypto Coin price patterns and their correlations with different microeconomic environments and drivers.
Convex Finance Predictive Forecast Models
Convex Finance's time-series forecasting models is one of many Convex Finance'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 Convex Finance'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 Convex Finance
Checking the ongoing alerts about Convex Finance for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Convex Finance help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Convex Finance is way too risky over 90 days horizon | |
| Convex Finance appears to be risky and price may revert if volatility continues |
Check out Convex Finance Backtesting, Portfolio Optimization, Convex Finance Correlation, Cryptocurrency Center, Convex Finance Volatility, Convex Finance History as well as Convex Finance Performance. You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.