Artisan High Income Fund Overlap Studies Bollinger Bands
| APDFX Fund | USD 9.16 0.01 0.11% |
| Symbol |
The output start index for this execution was eleven with a total number of output elements of fifty. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Artisan High middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Artisan High Income. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Artisan High Technical Analysis Modules
Most technical analysis of Artisan High 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 Artisan from various momentum indicators to cycle indicators. When you analyze Artisan 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 Artisan High 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 Artisan High Income. We use our internally-developed statistical techniques to arrive at the intrinsic value of Artisan High Income based on widely used predictive technical indicators. In general, we focus on analyzing Artisan Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Artisan High's daily price indicators and compare them against related drivers, such as overlap studies 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 Artisan High's intrinsic value. In addition to deriving basic predictive indicators for Artisan High, we also check how macroeconomic factors affect Artisan High 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 Idea Breakdown Now
Idea BreakdownAnalyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes |
| All Next | Launch Module |
Artisan High Income 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 Artisan High 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 Artisan High will appreciate offsetting losses from the drop in the long position's value.Artisan High Pair Trading
Artisan High Income Pair Trading Analysis
The ability to find closely correlated positions to Artisan High could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Artisan High 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 Artisan High - 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 Artisan High Income to buy it.
The correlation of Artisan High 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 Artisan High moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Artisan High Income 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 Artisan High 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 Artisan Mutual Fund
Artisan High financial ratios help investors to determine whether Artisan 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 Artisan with respect to the benefits of owning Artisan High security.
| Stock Screener Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook. | |
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk |