Ease2pay Stock Forecast - Polynomial Regression

EAS2P Stock  EUR 0.45  0.02  4.26%   
The Polynomial Regression forecasted value of Ease2pay NV on the next trading day is expected to be 0.45 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.58. Ease2pay Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Ease2pay stock prices and determine the direction of Ease2pay NV's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Ease2pay's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Ease2pay polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Ease2pay NV as well as the accuracy indicators are determined from the period prices.

Ease2pay Polynomial Regression Price Forecast For the 26th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Ease2pay NV on the next trading day is expected to be 0.45 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0001, and the sum of the absolute errors of 0.58.
Please note that although there have been many attempts to predict Ease2pay Stock 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 Ease2pay's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Ease2pay Stock Forecast Pattern

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Ease2pay Forecasted Value

In the context of forecasting Ease2pay's Stock 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. Ease2pay's downside and upside margins for the forecasting period are 0 and 3.51, respectively. We have considered Ease2pay'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
0.45
0.45
Expected Value
3.51
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 Ease2pay stock data series using in forecasting. Note that when a statistical model is used to represent Ease2pay stock, 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 Criteria109.2452
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0095
MAPEMean absolute percentage error0.0192
SAESum of the absolute errors0.5793
A single variable polynomial regression model attempts to put a curve through the Ease2pay 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 Ease2pay

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ease2pay NV. Regardless of method or technology, however, to accurately forecast the stock 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.
Hype
Prediction
LowEstimatedHigh
0.020.473.49
Details
Intrinsic
Valuation
LowRealHigh
0.020.403.42
Details

Other Forecasting Options for Ease2pay

For every potential investor in Ease2pay, whether a beginner or expert, Ease2pay's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Ease2pay Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Ease2pay. Basic forecasting techniques help filter out the noise by identifying Ease2pay's price trends.

Ease2pay 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 Ease2pay stock to make a market-neutral strategy. Peer analysis of Ease2pay could also be used in its relative valuation, which is a method of valuing Ease2pay by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Ease2pay NV 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 Ease2pay'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 Ease2pay's current price.

Ease2pay Market Strength Events

Market strength indicators help investors to evaluate how Ease2pay stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Ease2pay shares will generate the highest return on investment. By undertsting and applying Ease2pay stock market strength indicators, traders can identify Ease2pay NV entry and exit signals to maximize returns.

Ease2pay Risk Indicators

The analysis of Ease2pay's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Ease2pay's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ease2pay stock prices, 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 investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Thematic Opportunities

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Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Other Information on Investing in Ease2pay Stock

Ease2pay financial ratios help investors to determine whether Ease2pay Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Ease2pay with respect to the benefits of owning Ease2pay security.