GOME Retail (Germany) Volatility Indicators Average True Range
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Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 GOME Retail Holdings volatility. High ATR values indicate high volatility, and low values indicate low volatility.
GOME Retail Technical Analysis Modules
Most technical analysis of GOME Retail 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 GOME from various momentum indicators to cycle indicators. When you analyze GOME 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 GOME Retail 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 GOME Retail Holdings. We use our internally-developed statistical techniques to arrive at the intrinsic value of GOME Retail Holdings based on widely used predictive technical indicators. In general, we focus on analyzing GOME Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build GOME Retail'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 GOME Retail's intrinsic value. In addition to deriving basic predictive indicators for GOME Retail, we also check how macroeconomic factors affect GOME Retail price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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GOME Retail Holdings 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 GOME Retail 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 GOME Retail will appreciate offsetting losses from the drop in the long position's value.GOME Retail Pair Trading
GOME Retail Holdings Pair Trading Analysis
The ability to find closely correlated positions to GOME Retail could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace GOME Retail 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 GOME Retail - 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 GOME Retail Holdings to buy it.
The correlation of GOME Retail 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 GOME Retail moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if GOME Retail Holdings 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 GOME Retail 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.Additional Tools for GOME Stock Analysis
When running GOME Retail's price analysis, check to measure GOME Retail's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy GOME Retail is operating at the current time. Most of GOME Retail's value examination focuses on studying past and present price action to predict the probability of GOME Retail's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GOME Retail's price. Additionally, you may evaluate how the addition of GOME Retail to your portfolios can decrease your overall portfolio volatility.