PancakeSwap Crypto Coin Forecast - Polynomial Regression

CAKE
 Crypto
  

USD 3.98  0.05  1.27%   

PancakeSwap Crypto Coin Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast PancakeSwap historical crypto prices and determine the direction of PancakeSwap'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 PancakeSwap historical fundamentals such as revenue growth or operating cash flow patterns.
Continue to Historical Fundamental Analysis of PancakeSwap to cross-verify your projections.
  
Most investors in PancakeSwap 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 PancakeSwap's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets PancakeSwap's price structures and extracts relationships that further increase the generated results' accuracy.
PancakeSwap polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for PancakeSwap as well as the accuracy indicators are determined from the period prices.

PancakeSwap Polynomial Regression Price Forecast For the 29th of November

Given 90 days horizon, the Polynomial Regression forecasted value of PancakeSwap on the next trading day is expected to be 3.74 with a mean absolute deviation of 0.16, mean absolute percentage error of 0.039386, and the sum of the absolute errors of 9.71.
Please note that although there have been many attempts to predict PancakeSwap 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 PancakeSwap's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

PancakeSwap Crypto Coin Forecast Pattern

PancakeSwap Forecasted Value

In the context of forecasting PancakeSwap'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. PancakeSwap's downside and upside margins for the forecasting period are 0.0398 and 7.58, respectively. We have considered PancakeSwap'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 3.98
0.0398
Downside
3.74
Expected Value
7.58
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 PancakeSwap crypto coin data series using in forecasting. Note that when a statistical model is used to represent PancakeSwap 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 Criteria114.8762
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1592
MAPEMean absolute percentage error0.0368
SAESum of the absolute errors9.712
A single variable polynomial regression model attempts to put a curve through the PancakeSwap 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 PancakeSwap

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as PancakeSwap. 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 PancakeSwap'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 PancakeSwap in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
0.113.937.75
Details
Intrinsic
Valuation
LowReal ValueHigh
0.173.467.29
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
3.624.144.66
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as PancakeSwap. Your research has to be compared to or analyzed against PancakeSwap's peers to derive any actionable benefits. When done correctly, PancakeSwap'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 PancakeSwap.

Other Forecasting Options for PancakeSwap

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

PancakeSwap 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 PancakeSwap crypto coin to make a market-neutral strategy. Peer analysis of PancakeSwap could also be used in its relative valuation, which is a method of valuing PancakeSwap by comparing valuation metrics with similar companies.
XRPSolanaPolygonChainlinkPolkadotAvalancheUniswap Protocol TokenAptosDaiTRONOKBAmn Healthcare ServicesTwist Bioscience CorpFreedom Holding CorpGx Nasdaq-100 Covered
 Risk & Return  Correlation

PancakeSwap 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 PancakeSwap'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 PancakeSwap's current price.

PancakeSwap Risk Indicators

The analysis of PancakeSwap'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 PancakeSwap's investment and either accepting that risk or mitigating it. Along with some funamental techniques of forecasting PancakeSwap 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 PancakeSwap 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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Pair Trading with PancakeSwap

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 PancakeSwap 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 PancakeSwap will appreciate offsetting losses from the drop in the long position's value.

Moving together with PancakeSwap

+0.8XRPXRPPairCorr
The ability to find closely correlated positions to PancakeSwap could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace PancakeSwap 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 PancakeSwap - 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 PancakeSwap to buy it.
The correlation of PancakeSwap 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 PancakeSwap moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if PancakeSwap 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 PancakeSwap 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
Continue to Historical Fundamental Analysis of PancakeSwap to cross-verify your projections. You can also try Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .

Other Tools for PancakeSwap Crypto Coin

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