Quantified Stf Fund Probability of Future Mutual Fund Price Finishing Under 20.13
| QSTFX Fund | USD 18.17 0.31 1.68% |
Quantified |
Quantified Stf Target Price Odds to finish below 20.13
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 under $ 20.13 after 90 days |
| 18.17 | 90 days | 20.13 | close to 99 |
Based on a normal probability distribution, the odds of Quantified Stf to stay under $ 20.13 after 90 days from now is close to 99 (This Quantified Stf Fund probability density function shows the probability of Quantified Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Quantified Stf price to stay between its current price of $ 18.17 and $ 20.13 at the end of the 90-day period is about 54.56 .
Assuming the 90 days horizon Quantified Stf Fund has a beta of -0.18 indicating as returns on the benchmark increase, returns on holding Quantified Stf are expected to decrease at a much lower rate. During a bear market, however, Quantified Stf Fund is likely to outperform the market. Additionally Quantified Stf Fund has an alpha of 0.0363, implying that it can generate a 0.0363 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Quantified Stf Price Density |
| Price |
Predictive Modules for Quantified Stf
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 Stf. 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 Stf Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Quantified Stf is not an exception. The market had few large corrections towards the Quantified Stf'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 Stf Fund, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Quantified Stf within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.04 | |
β | Beta against Dow Jones | -0.18 | |
σ | Overall volatility | 0.60 | |
Ir | Information ratio | 0.01 |
Quantified Stf 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 Stf for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Quantified Stf 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 maintains about 75.68% of its assets in cash |
Quantified Stf Technical Analysis
Quantified Stf'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 Stf Fund. In general, you should focus on analyzing Quantified Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Quantified Stf Predictive Forecast Models
Quantified Stf's time-series forecasting models is one of many Quantified Stf'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 Stf'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 Stf
Checking the ongoing alerts about Quantified Stf for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Quantified Stf help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| The fund maintains about 75.68% of its assets in cash |
Other Information on Investing in Quantified Mutual Fund
Quantified Stf 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 Stf security.
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