Ontology Odds of Future Crypto Coin Price Finishing Under 0.9638
| ONT Crypto | USD 0.31 0.03 10.71% |
Ontology |
Ontology Target Price Odds to finish below 0.9638
The tendency of Ontology 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 under $ 0.96 after 90 days |
| 0.31 | 90 days | 0.96 | close to 99 |
Based on a normal probability distribution, the odds of Ontology to stay under $ 0.96 after 90 days from now is close to 99 (This Ontology probability density function shows the probability of Ontology Crypto Coin to fall within a particular range of prices over 90 days) . Probability of Ontology price to stay between its current price of $ 0.31 and $ 0.96 at the end of the 90-day period is about 36.05 .
Assuming the 90 days trading horizon the crypto coin has the beta coefficient of 1.11 . This indicates Ontology market returns are highly-sensitive to returns on the market. As the market goes up or down, Ontology is expected to follow. Additionally Ontology has an alpha of 0.478, implying that it can generate a 0.48 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta). Ontology Price Density |
| Price |
Predictive Modules for Ontology
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ontology. 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 Ontology'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.
Ontology Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Ontology is not an exception. The market had few large corrections towards the Ontology'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 Ontology, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Ontology within the framework of very fundamental risk indicators.α | Alpha over NYSE Composite | 0.48 | |
β | Beta against NYSE Composite | 1.11 | |
σ | Overall volatility | 0.06 | |
Ir | Information ratio | 0.07 |
Ontology 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 Ontology for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Ontology can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Ontology is way too risky over 90 days horizon | |
| Ontology has some characteristics of a very speculative cryptocurrency | |
| Ontology appears to be risky and price may revert if volatility continues |
Ontology Technical Analysis
Ontology's future price can be derived by breaking down and analyzing its technical indicators over time. Ontology Crypto Coin technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Ontology. In general, you should focus on analyzing Ontology Crypto Coin price patterns and their correlations with different microeconomic environments and drivers.
Ontology Predictive Forecast Models
Ontology's time-series forecasting models is one of many Ontology'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 Ontology'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 Ontology
Checking the ongoing alerts about Ontology for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Ontology help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Ontology is way too risky over 90 days horizon | |
| Ontology has some characteristics of a very speculative cryptocurrency | |
| Ontology appears to be risky and price may revert if volatility continues |
Check out Ontology Backtesting, Portfolio Optimization, Ontology Correlation, Cryptocurrency Center, Ontology Volatility, Ontology History as well as Ontology Performance. You can also try the Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.