Manta Network Probability of Future Crypto Coin Price Finishing Over 0.73
| MANTA Crypto | USD 1.10 0.09 8.91% |
Manta |
Manta Network Target Price Odds to finish over 0.73
The tendency of Manta 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 $ 0.73 in 90 days |
| 1.10 | 90 days | 0.73 | about 70.07 |
Based on a normal probability distribution, the odds of Manta Network to stay above $ 0.73 in 90 days from now is about 70.07 (This Manta Network probability density function shows the probability of Manta Crypto Coin to fall within a particular range of prices over 90 days) . Probability of Manta Network price to stay between $ 0.73 and its current price of $1.1 at the end of the 90-day period is about 62.3 .
Assuming the 90 days trading horizon the crypto coin has the beta coefficient of 1.64 . This indicates as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, Manta Network will likely underperform. Additionally Manta Network has an alpha of 0.6947, implying that it can generate a 0.69 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Manta Network Price Density |
| Price |
Predictive Modules for Manta Network
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Manta Network. 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.Manta Network Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Manta Network is not an exception. The market had few large corrections towards the Manta Network'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 Manta Network, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Manta Network within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.69 | |
β | Beta against Dow Jones | 1.64 | |
σ | Overall volatility | 0.19 | |
Ir | Information ratio | 0.11 |
Manta Network 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 Manta Network for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Manta Network can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Manta Network is way too risky over 90 days horizon | |
| Manta Network may become a speculative penny crypto | |
| Manta Network appears to be risky and price may revert if volatility continues |
Manta Network Technical Analysis
Manta Network's future price can be derived by breaking down and analyzing its technical indicators over time. Manta Crypto Coin technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Manta Network. In general, you should focus on analyzing Manta Crypto Coin price patterns and their correlations with different microeconomic environments and drivers.
Manta Network Predictive Forecast Models
Manta Network's time-series forecasting models is one of many Manta Network'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 Manta Network'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 Manta Network
Checking the ongoing alerts about Manta Network for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Manta Network help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Manta Network is way too risky over 90 days horizon | |
| Manta Network may become a speculative penny crypto | |
| Manta Network appears to be risky and price may revert if volatility continues |
Check out Manta Network Backtesting, Portfolio Optimization, Manta Network Correlation, Cryptocurrency Center, Manta Network Volatility, Manta Network History as well as Manta Network Performance. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.