Swan Defined Risk Fund Momentum Indicators MACD with controllable MA type

SDRIX Fund  USD 15.77  0.09  0.57%   
Swan Defined momentum indicators tool provides the execution environment for running the MACD with controllable MA type indicator and other technical functions against Swan Defined. Swan Defined value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of momentum indicators indicators. As with most other technical indicators, the MACD with controllable MA type indicator function is designed to identify and follow existing trends. Momentum indicators of Swan Defined are pattern recognition functions that provide distinct formation on Swan Defined potential trading signals or future price movement. Analysts can use these trading signals to identify current and future trends and trend reversals to provide buy and sell recommendations. Please specify the following input to run this model: Fast Period, Fast MA, Slow Period, Slow MA, Signal Period, and Signal MA.

The output start index for this execution was thirty-three with a total number of output elements of twenty-eight. MACD with controllable MA type is a predictive momentum indicator that shows the relationship between Swan Defined Risk price series and its benchmark allowing for selection of moving average.

Swan Defined Technical Analysis Modules

Most technical analysis of Swan Defined 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 Swan from various momentum indicators to cycle indicators. When you analyze Swan 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.

About Swan Defined 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 Swan Defined Risk. We use our internally-developed statistical techniques to arrive at the intrinsic value of Swan Defined Risk based on widely used predictive technical indicators. In general, we focus on analyzing Swan Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Swan Defined's daily price indicators and compare them against related drivers, such as momentum 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 Swan Defined's intrinsic value. In addition to deriving basic predictive indicators for Swan Defined, we also check how macroeconomic factors affect Swan Defined price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
15.3315.7716.21
Details
Intrinsic
Valuation
LowRealHigh
15.3415.7816.22
Details

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Swan Defined Risk 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 Swan Defined 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 Swan Defined will appreciate offsetting losses from the drop in the long position's value.

Swan Defined Pair Trading

Swan Defined Risk Pair Trading Analysis

The ability to find closely correlated positions to Swan Defined could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Swan Defined 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 Swan Defined - 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 Swan Defined Risk to buy it.
The correlation of Swan Defined 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 Swan Defined moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Swan Defined Risk 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 Swan Defined 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.
Pair CorrelationCorrelation Matching

Other Information on Investing in Swan Mutual Fund

Swan Defined financial ratios help investors to determine whether Swan 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 Swan with respect to the benefits of owning Swan Defined security.
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