Fidelity Puritan Fund Volatility Indicators Average True Range
| FPUKX Fund | USD 26.07 0.19 0.73% |
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The output start index for this execution was fourty-two with a total number of output elements of nineteen. 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 Fidelity Puritan volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Fidelity Puritan Technical Analysis Modules
Most technical analysis of Fidelity Puritan 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 Fidelity from various momentum indicators to cycle indicators. When you analyze Fidelity 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 | ||
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About Fidelity Puritan 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 Fidelity Puritan Fund. We use our internally-developed statistical techniques to arrive at the intrinsic value of Fidelity Puritan Fund based on widely used predictive technical indicators. In general, we focus on analyzing Fidelity Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Fidelity Puritan'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 Fidelity Puritan's intrinsic value. In addition to deriving basic predictive indicators for Fidelity Puritan, we also check how macroeconomic factors affect Fidelity Puritan price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Fidelity Puritan 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 Fidelity Puritan 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 Fidelity Puritan will appreciate offsetting losses from the drop in the long position's value.Fidelity Puritan Pair Trading
Fidelity Puritan Fund Pair Trading Analysis
The ability to find closely correlated positions to Fidelity Puritan could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Fidelity Puritan 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 Fidelity Puritan - 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 Fidelity Puritan Fund to buy it.
The correlation of Fidelity Puritan 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 Fidelity Puritan moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fidelity Puritan 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 Fidelity Puritan 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 Fidelity Mutual Fund
Fidelity Puritan financial ratios help investors to determine whether Fidelity 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 Fidelity with respect to the benefits of owning Fidelity Puritan security.
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