Quantified Market Leaders Fund Probability of Future Mutual Fund Price Finishing Over 10.33
| QMLAX Fund | USD 11.36 0.12 1.07% |
Quantified |
Quantified Market Target Price Odds to finish over 10.33
The tendency of Quantified 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 stay above $ 10.33 in 90 days |
| 11.36 | 90 days | 10.33 | about 83.54 |
Based on a normal probability distribution, the odds of Quantified Market to stay above $ 10.33 in 90 days from now is about 83.54 (This Quantified Market Leaders probability density function shows the probability of Quantified Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Quantified Market Leaders price to stay between $ 10.33 and its current price of $11.36 at the end of the 90-day period is about 77.31 .
Assuming the 90 days horizon Quantified Market Leaders has a beta of -0.0634 indicating as returns on the benchmark increase, returns on holding Quantified Market are expected to decrease at a much lower rate. During a bear market, however, Quantified Market Leaders is likely to outperform the market. Additionally Quantified Market Leaders has an alpha of 0.1203, implying that it can generate a 0.12 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Quantified Market Price Density |
| Price |
Predictive Modules for Quantified Market
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Quantified Market Leaders. 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.Quantified Market Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Quantified Market is not an exception. The market had few large corrections towards the Quantified Market'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 Quantified Market Leaders, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Quantified Market within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.12 | |
β | Beta against Dow Jones | -0.06 | |
σ | Overall volatility | 0.41 | |
Ir | Information ratio | 0.01 |
Quantified Market 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 Quantified Market for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Quantified Market Leaders 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 generated three year return of -4.0% | |
| Quantified Market Leaders maintains about 59.35% of its assets in cash |
Quantified Market Technical Analysis
Quantified Market's future price can be derived by breaking down and analyzing its technical indicators over time. Quantified Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Quantified Market Leaders. In general, you should focus on analyzing Quantified Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Quantified Market Predictive Forecast Models
Quantified Market's time-series forecasting models is one of many Quantified Market'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 Quantified Market'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 Quantified Market Leaders
Checking the ongoing alerts about Quantified Market for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Quantified Market Leaders help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| The fund generated three year return of -4.0% | |
| Quantified Market Leaders maintains about 59.35% of its assets in cash |
Other Information on Investing in Quantified Mutual Fund
Quantified Market financial ratios help investors to determine whether Quantified 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 Quantified with respect to the benefits of owning Quantified Market security.
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