Near Chance of Future Crypto Coin Price Finishing Over 6.78
| NEAR Crypto | USD 6.78 0.04 0.59% |
Near |
Near Target Price Odds to finish over 6.78
The tendency of Near 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 above the current price in 90 days |
| 6.78 | 90 days | 6.78 | near 1 |
Based on a normal probability distribution, the odds of Near to move above the current price in 90 days from now is near 1 (This Near probability density function shows the probability of Near Crypto Coin to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon Near has a beta of 0.93. This indicates Near market returns are highly-sensitive to returns on the market. As the market goes up or down, Near is expected to follow. Additionally Near has an alpha of 0.617, implying that it can generate a 0.62 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Near Price Density |
| Price |
Predictive Modules for Near
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Near. 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.Near Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Near is not an exception. The market had few large corrections towards the Near'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 Near, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Near within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.62 | |
β | Beta against Dow Jones | 0.93 | |
σ | Overall volatility | 0.71 | |
Ir | Information ratio | 0.12 |
Near 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 Near for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Near can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Near is way too risky over 90 days horizon | |
| Near appears to be risky and price may revert if volatility continues |
Near Technical Analysis
Near's future price can be derived by breaking down and analyzing its technical indicators over time. Near Crypto Coin technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Near. In general, you should focus on analyzing Near Crypto Coin price patterns and their correlations with different microeconomic environments and drivers.
Near Predictive Forecast Models
Near's time-series forecasting models is one of many Near'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 Near'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 Near
Checking the ongoing alerts about Near for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Near help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Near is way too risky over 90 days horizon | |
| Near appears to be risky and price may revert if volatility continues |
Check out Near Backtesting, Portfolio Optimization, Near Correlation, Cryptocurrency Center, Near Volatility, Near History as well as Near Performance. You can also try the Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.