Aquila Three Peaks Fund Probability of Future Mutual Fund Price Finishing Over 8.38
| ATPAX Fund | USD 8.26 0.01 0.12% |
Aquila |
Aquila Three Target Price Odds to finish over 8.38
The tendency of Aquila 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 over $ 8.38 or more in 90 days |
| 8.26 | 90 days | 8.38 | near 1 |
Based on a normal probability distribution, the odds of Aquila Three to move over $ 8.38 or more in 90 days from now is near 1 (This Aquila Three Peaks probability density function shows the probability of Aquila Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Aquila Three Peaks price to stay between its current price of $ 8.26 and $ 8.38 at the end of the 90-day period is about 7.66 .
Assuming the 90 days horizon Aquila Three Peaks has a beta of -0.0029. This suggests as returns on the benchmark increase, returns on holding Aquila Three are expected to decrease at a much lower rate. During a bear market, however, Aquila Three Peaks is likely to outperform the market. Additionally Aquila Three Peaks has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. Aquila Three Price Density |
| Price |
Predictive Modules for Aquila Three
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Aquila Three Peaks. 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.Aquila Three Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Aquila Three is not an exception. The market had few large corrections towards the Aquila Three'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 Aquila Three Peaks, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Aquila Three within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.0003 | |
β | Beta against Dow Jones | -0.0029 | |
σ | Overall volatility | 0.02 | |
Ir | Information ratio | -0.97 |
Aquila Three 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 Aquila Three for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Aquila Three Peaks 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 most of the assets under management (AUM) in different types of exotic instruments. |
Aquila Three Technical Analysis
Aquila Three's future price can be derived by breaking down and analyzing its technical indicators over time. Aquila Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Aquila Three Peaks. In general, you should focus on analyzing Aquila Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Aquila Three Predictive Forecast Models
Aquila Three's time-series forecasting models is one of many Aquila Three'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 Aquila Three'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 Aquila Three Peaks
Checking the ongoing alerts about Aquila Three for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Aquila Three Peaks 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 most of the assets under management (AUM) in different types of exotic instruments. |
Other Information on Investing in Aquila Mutual Fund
Aquila Three financial ratios help investors to determine whether Aquila 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 Aquila with respect to the benefits of owning Aquila Three security.
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Positions Ratings 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 |