Polygon Crypto Coin Forecast - Polynomial Regression

MATIC
  

USD 0.91  0.04  4.21%   

Polygon Crypto Coin Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Polygon historical crypto prices and determine the direction of Polygon's future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of Polygon historical fundamentals such as revenue growth or operating cash flow patterns.
Additionally, see Historical Fundamental Analysis of Polygon to cross-verify your projections.
  
Most investors in Polygon cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Polygon's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Polygon's price structures and extracts relationships that further increase the generated results' accuracy.
Polygon polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Polygon as well as the accuracy indicators are determined from the period prices.

Polygon Polynomial Regression Price Forecast For the 4th of December

Given 90 days horizon, the Polynomial Regression forecasted value of Polygon on the next trading day is expected to be 0.81 with a mean absolute deviation of 0.05, mean absolute percentage error of 0.005255, and the sum of the absolute errors of 3.38.
Please note that although there have been many attempts to predict Polygon Crypto Coin prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Polygon's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Polygon Crypto Coin Forecast Pattern

Polygon Forecasted Value

In the context of forecasting Polygon's Crypto Coin value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Polygon's downside and upside margins for the forecasting period are 0.0091 and 8.57, respectively. We have considered Polygon's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value 0.91
0.0091
Downside
0.81
Expected Value
8.57
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Polygon crypto coin data series using in forecasting. Note that when a statistical model is used to represent Polygon crypto coin, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria114.6999
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0546
MAPEMean absolute percentage error0.0605
SAESum of the absolute errors3.3823
A single variable polynomial regression model attempts to put a curve through the Polygon historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Polygon

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Polygon. Regardless of method or technology, however, to accurately forecast the stock or bond market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
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
0.050.948.70
Details
Intrinsic
Valuation
LowReal ValueHigh
0.040.798.55
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.

Other Forecasting Options for Polygon

For every potential investor in Polygon, whether a beginner or expert, Polygon's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Polygon Crypto Coin price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Polygon. Basic forecasting techniques help filter out the noise by identifying Polygon's price trends.

Polygon Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Polygon crypto coin to make a market-neutral strategy. Peer analysis of Polygon could also be used in its relative valuation, which is a method of valuing Polygon by comparing valuation metrics with similar companies.
XRPChainlinkSolanaPolkadotUniswap Protocol TokenOKBAvalancheDaiTRONAptosOptimismAMN Healthcare ServicesTwist Bioscience CorpFreedom Holding CorpGlobal X NASDAQ
 Risk & Return  Correlation

Polygon Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Polygon's price movements, , a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Polygon's current price.

Polygon Risk Indicators

The analysis of Polygon's basic risk indicators is one of the essential steps in helping accuretelly forecast its future price. The process involves identifying the amount of risk involved in Polygon's investment and either accepting that risk or mitigating it. Along with some funamental techniques of forecasting Polygon stock price, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential stock investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Be your own money manager

Our tools can tell you how much better you can do entering a position in Polygon without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

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Additionally, see Historical Fundamental Analysis of Polygon to cross-verify your projections. You can also try Probability Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.

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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