La Foncire (Switzerland) Volatility Indicators Average True Range
FOC Fund | CHF 153.00 1.00 0.65% |
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The output start index for this execution was one with a total number of output elements of sixty. 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 La Foncire volatility. High ATR values indicate high volatility, and low values indicate low volatility.
La Foncire Technical Analysis Modules
Most technical analysis of La Foncire 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 FOC from various momentum indicators to cycle indicators. When you analyze FOC 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 La Foncire 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 La Foncire. We use our internally-developed statistical techniques to arrive at the intrinsic value of La Foncire based on widely used predictive technical indicators. In general, we focus on analyzing FOC Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build La Foncire'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 La Foncire's intrinsic value. In addition to deriving basic predictive indicators for La Foncire, we also check how macroeconomic factors affect La Foncire price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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La Foncire 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 La Foncire 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 La Foncire will appreciate offsetting losses from the drop in the long position's value.La Foncire Pair Trading
La Foncire Pair Trading Analysis
The ability to find closely correlated positions to La Foncire could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace La Foncire 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 La Foncire - 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 La Foncire to buy it.
The correlation of La Foncire 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 La Foncire moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if La Foncire 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 La Foncire 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 FOC Fund
La Foncire financial ratios help investors to determine whether FOC 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 FOC with respect to the benefits of owning La Foncire security.
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