Quantified Stf Fund Price Transform Average Price
QSTFX Fund | USD 18.17 0.31 1.68% |
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The output start index for this execution was zero with a total number of output elements of sixty-one. Quantified Stf Average Price is the average of the sum of open, high, low and close daily prices of a bar. It can be used to smooth an indicator that normally takes just the closing price as input.
Quantified Stf Technical Analysis Modules
Most technical analysis of Quantified Stf 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 Quantified from various momentum indicators to cycle indicators. When you analyze Quantified 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 Quantified Stf 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 Quantified Stf Fund. We use our internally-developed statistical techniques to arrive at the intrinsic value of Quantified Stf Fund based on widely used predictive technical indicators. In general, we focus on analyzing Quantified Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Quantified Stf's daily price indicators and compare them against related drivers, such as price transform 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 Quantified Stf's intrinsic value. In addition to deriving basic predictive indicators for Quantified Stf, we also check how macroeconomic factors affect Quantified Stf price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Quantified Stf 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 Quantified Stf 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 Quantified Stf will appreciate offsetting losses from the drop in the long position's value.Quantified Stf Pair Trading
Quantified Stf Fund Pair Trading Analysis
The ability to find closely correlated positions to Quantified Stf could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Quantified Stf 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 Quantified Stf - 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 Quantified Stf Fund to buy it.
The correlation of Quantified Stf 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 Quantified Stf moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Quantified Stf 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 Quantified Stf 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 Quantified Mutual Fund
Quantified Stf financial ratios help investors to determine whether Quantified 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 Quantified with respect to the benefits of owning Quantified Stf security.
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