Conquer Risk Tactical Fund Probability of Future Mutual Fund Price Finishing Over 10.90
CRTBX Fund | USD 10.90 0.02 0.18% |
Conquer |
Conquer Risk Target Price Odds to finish over 10.90
The tendency of Conquer Mutual Fund 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 |
10.90 | 90 days | 10.90 | about 1.54 |
Based on a normal probability distribution, the odds of Conquer Risk to move above the current price in 90 days from now is about 1.54 (This Conquer Risk Tactical probability density function shows the probability of Conquer Mutual Fund to fall within a particular range of prices over 90 days) .
Assuming the 90 days horizon Conquer Risk has a beta of 0.82 suggesting as returns on the market go up, Conquer Risk average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Conquer Risk Tactical will be expected to be much smaller as well. Additionally Conquer Risk Tactical has an alpha of 0.0145, implying that it can generate a 0.0145 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Conquer Risk Price Density |
Price |
Predictive Modules for Conquer Risk
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Conquer Risk Tactical. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund 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.Conquer Risk Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Conquer Risk is not an exception. The market had few large corrections towards the Conquer Risk'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 Conquer Risk Tactical, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Conquer Risk within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.01 | |
β | Beta against Dow Jones | 0.82 | |
σ | Overall volatility | 0.25 | |
Ir | Information ratio | -0.0084 |
Conquer Risk 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 Conquer Risk for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Conquer Risk Tactical can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.The fund holds about 45.24% of its assets under management (AUM) in cash |
Conquer Risk Technical Analysis
Conquer Risk's future price can be derived by breaking down and analyzing its technical indicators over time. Conquer Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Conquer Risk Tactical. In general, you should focus on analyzing Conquer Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Conquer Risk Predictive Forecast Models
Conquer Risk's time-series forecasting models is one of many Conquer Risk's mutual fund 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 Conquer Risk'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 mutual fund market movement and maximize returns from investment trading.
Things to note about Conquer Risk Tactical
Checking the ongoing alerts about Conquer Risk for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Conquer Risk Tactical help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
The fund holds about 45.24% of its assets under management (AUM) in cash |
Other Information on Investing in Conquer Mutual Fund
Conquer Risk financial ratios help investors to determine whether Conquer Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Conquer with respect to the benefits of owning Conquer Risk security.
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |