Spectrum Fund Retail Fund Overlap Studies Hilbert Transform Instantaneous Trendline

FLSPX Fund  USD 15.06  0.11  0.74%   
Spectrum Fund overlap studies tool provides the execution environment for running the Hilbert Transform Instantaneous Trendline study and other technical functions against Spectrum Fund. Spectrum Fund 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 overlap studies indicators. As with most other technical indicators, the Hilbert Transform Instantaneous Trendline study function is designed to identify and follow existing trends. Spectrum Fund overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques.

Study
The minimum time period for execution of this function requires larger time horizon. Please increase the time horizon for this function. The output start index for this execution was zero with a total number of output elements of zero. The Instantaneous Trendline is a moving-average-like indicator which is formed by removing the Dominant Cycle from Spectrum Fund Retail price series.

Spectrum Fund Technical Analysis Modules

Most technical analysis of Spectrum Fund 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 Spectrum from various momentum indicators to cycle indicators. When you analyze Spectrum 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 Spectrum Fund 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 Spectrum Fund Retail. We use our internally-developed statistical techniques to arrive at the intrinsic value of Spectrum Fund Retail based on widely used predictive technical indicators. In general, we focus on analyzing Spectrum Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Spectrum Fund'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 Spectrum Fund's intrinsic value. In addition to deriving basic predictive indicators for Spectrum Fund, we also check how macroeconomic factors affect Spectrum Fund price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
14.3015.0615.82
Details
Intrinsic
Valuation
LowRealHigh
14.1714.9315.69
Details
Naive
Forecast
LowNextHigh
14.1014.8715.63
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
14.7114.9415.17
Details

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.

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Spectrum Fund Retail 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 Spectrum Fund 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 Spectrum Fund will appreciate offsetting losses from the drop in the long position's value.

Spectrum Fund Pair Trading

Spectrum Fund Retail Pair Trading Analysis

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

Spectrum Fund financial ratios help investors to determine whether Spectrum 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 Spectrum with respect to the benefits of owning Spectrum Fund security.
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