Future Scholar 529 Fund Volatility Indicators Average True Range
| CMTJX Fund | USD 19.91 0.01 0.05% |
| Symbol |
The output start index for this execution was ten with a total number of output elements of fifty-one. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Future Scholar 529 volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Future Scholar Technical Analysis Modules
Most technical analysis of Future Scholar help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Future from various momentum indicators to cycle indicators. When you analyze Future charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Future Scholar Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Future Scholar 529. We use our internally-developed statistical techniques to arrive at the intrinsic value of Future Scholar 529 based on widely used predictive technical indicators. In general, we focus on analyzing Future Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Future Scholar's daily price indicators and compare them against related drivers, such as volatility indicators and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Future Scholar's intrinsic value. In addition to deriving basic predictive indicators for Future Scholar, we also check how macroeconomic factors affect Future Scholar price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Learn to be your own money manager
As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.Did you try this?
Run Fundamental Analysis Now
Fundamental AnalysisView fundamental data based on most recent published financial statements |
| All Next | Launch Module |
Future Scholar 529 pair trading
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Future Scholar position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Future Scholar will appreciate offsetting losses from the drop in the long position's value.Future Scholar Pair Trading
Future Scholar 529 Pair Trading Analysis
The ability to find closely correlated positions to Future Scholar could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Future Scholar when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Future Scholar - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Future Scholar 529 to buy it.
The correlation of Future Scholar is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Future Scholar moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Future Scholar 529 moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Future Scholar can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Future Mutual Fund
Future Scholar financial ratios help investors to determine whether Future 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 Future with respect to the benefits of owning Future Scholar security.
| USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
| Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets | |
| Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
| Stock Screener Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook. |