Akros Monthly Etf Forecast - Polynomial Regression

MPAY Etf  USD 25.96  0.07  0.27%   
The Polynomial Regression forecasted value of Akros Monthly Payout on the next trading day is expected to be 26.13 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.60. Akros Etf Forecast is based on your current time horizon.
  
Akros Monthly polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Akros Monthly Payout as well as the accuracy indicators are determined from the period prices.

Akros Monthly Polynomial Regression Price Forecast For the 5th of December

Given 90 days horizon, the Polynomial Regression forecasted value of Akros Monthly Payout on the next trading day is expected to be 26.13 with a mean absolute deviation of 0.14, mean absolute percentage error of 0.03, and the sum of the absolute errors of 8.60.
Please note that although there have been many attempts to predict Akros Etf 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 Akros Monthly's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Akros Monthly Etf Forecast Pattern

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Akros Monthly Forecasted Value

In the context of forecasting Akros Monthly's Etf 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. Akros Monthly's downside and upside margins for the forecasting period are 25.55 and 26.70, respectively. We have considered Akros Monthly'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
25.96
26.13
Expected Value
26.70
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 Akros Monthly etf data series using in forecasting. Note that when a statistical model is used to represent Akros Monthly etf, 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 Criteria114.6281
BiasArithmetic mean of the errors None
MADMean absolute deviation0.141
MAPEMean absolute percentage error0.0055
SAESum of the absolute errors8.6001
A single variable polynomial regression model attempts to put a curve through the Akros Monthly 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 Akros Monthly

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Akros Monthly Payout. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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
25.4025.9826.56
Details
Intrinsic
Valuation
LowRealHigh
25.2325.8126.39
Details
Bollinger
Band Projection (param)
LowMiddleHigh
25.6025.8426.09
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Akros Monthly. Your research has to be compared to or analyzed against Akros Monthly's peers to derive any actionable benefits. When done correctly, Akros Monthly's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Akros Monthly Payout.

Other Forecasting Options for Akros Monthly

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

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

Akros Monthly Payout Technical and Predictive Analytics

The etf market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Akros Monthly'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 Akros Monthly's current price.

Akros Monthly Market Strength Events

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

Akros Monthly Risk Indicators

The analysis of Akros Monthly'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 Akros Monthly's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting akros etf 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When determining whether Akros Monthly Payout offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Akros Monthly's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Akros Monthly Payout Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Akros Monthly Payout Etf:
Check out Historical Fundamental Analysis of Akros Monthly to cross-verify your projections.
You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
The market value of Akros Monthly Payout is measured differently than its book value, which is the value of Akros that is recorded on the company's balance sheet. Investors also form their own opinion of Akros Monthly's value that differs from its market value or its book value, called intrinsic value, which is Akros Monthly's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Akros Monthly's market value can be influenced by many factors that don't directly affect Akros Monthly's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Akros Monthly's value and its price as these two are different measures arrived at by different means. Investors typically determine if Akros Monthly is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Akros Monthly's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.