Polygon Math Transform Price Common Logarithm

MATIC
  

USD 0.85  0.01  1.19%   

Polygon math transform tool provides the execution environment for running the Price Common Logarithm transformation and other technical functions against Polygon. Polygon value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of math transform indicators. As with most other technical indicators, the Price Common Logarithm transformation function is designed to identify and follow existing trends. Analysts that use price transformation techniques rely on the belief that biggest profits from investing in Polygon can be made when Polygon shifts in price trends from positive to negative or vice versa.

Transformation
The output start index for this execution was zero with a total number of output elements of sixty-one. Polygon Price Common Logarithm is logarithm with base 10 applied on the entire pricing series.
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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.

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 math transform 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, frequently view 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. Please use the tools below to analyze the current value of Polygon in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
0.040.858.59
Details
Intrinsic
Valuation
LowReal ValueHigh
0.040.758.49
Details
Naive
Forecast
LowNext ValueHigh
0.0159310.808.53
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.830.880.92
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Polygon. Your research has to be compared to or analyzed against Polygon's peers to derive any actionable benefits. When done correctly, Polygon's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Polygon.

Learn to be your own money manager

As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

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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 equities. 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.
Pair CorrelationCorrelation Matching
Additionally, see Correlation Analysis. You can also try Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .

Other Tools for Polygon Crypto Coin

When running Polygon price analysis, check to measure Polygon's coin volatility and technical momentum indicators. We have many different tools that can be utilized to determine how healthy Polygon is operating at the current time. Most of Polygon's value examination focuses on studying past and present price actions to predict the probability of Polygon's future price movements. You can analyze the coin against its peers and the financial market as a whole to determine factors that move Polygon's coin price. Additionally, you may evaluate how adding Polygon to your portfolios can decrease your overall portfolio volatility.
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