Frequency Exchange Corp Stock Volatility Indicators Average True Range
| FREQ Stock | 0.28 0.07 20.00% |
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The output start index for this execution was ten with a total number of output elements of fifty-one. 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 Frequency Exchange Corp volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Frequency Exchange Technical Analysis Modules
Most technical analysis of Frequency Exchange 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 Frequency from various momentum indicators to cycle indicators. When you analyze Frequency 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 Frequency Exchange 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 Frequency Exchange Corp. We use our internally-developed statistical techniques to arrive at the intrinsic value of Frequency Exchange Corp based on widely used predictive technical indicators. In general, we focus on analyzing Frequency Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Frequency Exchange'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 Frequency Exchange's intrinsic value. In addition to deriving basic predictive indicators for Frequency Exchange, we also check how macroeconomic factors affect Frequency Exchange price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Frequency Exchange Corp 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 Frequency Exchange 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 Frequency Exchange will appreciate offsetting losses from the drop in the long position's value.Frequency Exchange Pair Trading
Frequency Exchange Corp Pair Trading Analysis
The ability to find closely correlated positions to Frequency Exchange could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Frequency Exchange 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 Frequency Exchange - 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 Frequency Exchange Corp to buy it.
The correlation of Frequency Exchange 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 Frequency Exchange moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Frequency Exchange Corp 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 Frequency Exchange 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 Frequency Stock Analysis
When running Frequency Exchange's price analysis, check to measure Frequency Exchange'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 Frequency Exchange is operating at the current time. Most of Frequency Exchange's value examination focuses on studying past and present price action to predict the probability of Frequency Exchange's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Frequency Exchange's price. Additionally, you may evaluate how the addition of Frequency Exchange to your portfolios can decrease your overall portfolio volatility.