Crawford Multi Asset Income Fund Volatility Indicators Average True Range
| CMALX Fund | USD 27.66 0.05 0.18% |
| 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 Crawford Multi Asset volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Crawford Multi-asset Technical Analysis Modules
Most technical analysis of Crawford Multi-asset 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 Crawford from various momentum indicators to cycle indicators. When you analyze Crawford 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 Crawford Multi-asset 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 Crawford Multi Asset Income. We use our internally-developed statistical techniques to arrive at the intrinsic value of Crawford Multi Asset Income based on widely used predictive technical indicators. In general, we focus on analyzing Crawford Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Crawford Multi-asset'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 Crawford Multi-asset's intrinsic value. In addition to deriving basic predictive indicators for Crawford Multi-asset, we also check how macroeconomic factors affect Crawford Multi-asset 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 Portfolio Volatility Now
Portfolio VolatilityCheck portfolio volatility and analyze historical return density to properly model market risk |
| All Next | Launch Module |
Crawford Multi Asset 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 Crawford Multi-asset 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 Crawford Multi-asset will appreciate offsetting losses from the drop in the long position's value.Crawford Multi-asset Pair Trading
Crawford Multi Asset Income Pair Trading Analysis
The ability to find closely correlated positions to Crawford Multi-asset could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Crawford Multi-asset 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 Crawford Multi-asset - 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 Crawford Multi Asset Income to buy it.
The correlation of Crawford Multi-asset 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 Crawford Multi-asset moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Crawford Multi Asset 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 Crawford Multi-asset 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 Crawford Mutual Fund
Crawford Multi-asset financial ratios help investors to determine whether Crawford 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 Crawford with respect to the benefits of owning Crawford Multi-asset security.
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
| Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |