Polygon Overlap Studies Simple Moving Average
| MATIC Crypto | USD 0.55 0.02 3.51% |
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The output start index for this execution was eleven with a total number of output elements of fifty. The Simple Moving Average indicator is calculated by adding the closing price of Polygon for a given number of time periods and then dividing this total by the number of time periods. It is used to smooth out Polygon short-term fluctuations and highlight longer-term trends or cycles.
Polygon Technical Analysis Modules
Most technical analysis of Polygon 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 Polygon from various momentum indicators to cycle indicators. When you analyze Polygon 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 Polygon 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 Polygon. We use our internally-developed statistical techniques to arrive at the intrinsic value of Polygon based on widely used predictive technical indicators. In general, we focus on analyzing Polygon Crypto Coin price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Polygon's daily price indicators and compare them against related drivers, such as overlap studies 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 Polygon's intrinsic value. In addition to deriving basic predictive indicators for Polygon, we also check how macroeconomic factors affect Polygon price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Polygon's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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Polygon 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 Polygon 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 Polygon will appreciate offsetting losses from the drop in the long position's value.Polygon Pair Trading
Polygon Pair Trading Analysis
The ability to find closely correlated positions to Polygon could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Polygon 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 Polygon - 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 Polygon to buy it.
The correlation of Polygon 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 Polygon moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Polygon 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 Polygon 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.Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Polygon. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators. You can also try the Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..