MORE Etf Forecast - Polynomial Regression

MORE Etf   23.37  0.00  0.00%   
The Polynomial Regression forecasted value of MORE on the next trading day is expected to be 22.98 with a mean absolute deviation of 0.24 and the sum of the absolute errors of 14.45. MORE Etf Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast MORE stock prices and determine the direction of MORE's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of MORE's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
MORE polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for MORE as well as the accuracy indicators are determined from the period prices.

MORE Polynomial Regression Price Forecast For the 10th of January

Given 90 days horizon, the Polynomial Regression forecasted value of MORE on the next trading day is expected to be 22.98 with a mean absolute deviation of 0.24, mean absolute percentage error of 0.09, and the sum of the absolute errors of 14.45.
Please note that although there have been many attempts to predict MORE 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 MORE's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

MORE Etf Forecast Pattern

Backtest MOREMORE Price PredictionBuy or Sell Advice 

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 MORE etf data series using in forecasting. Note that when a statistical model is used to represent MORE 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 Criteria115.7218
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2368
MAPEMean absolute percentage error0.0105
SAESum of the absolute errors14.4451
A single variable polynomial regression model attempts to put a curve through the MORE 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 MORE

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as MORE. 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
23.3723.3723.37
Details
Intrinsic
Valuation
LowRealHigh
23.0823.0825.71
Details

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

MORE Market Strength Events

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

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 MORE is a strong investment it is important to analyze MORE's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact MORE's future performance. For an informed investment choice regarding MORE Etf, refer to the following important reports:
Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in metropolitan statistical area.
You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
The market value of MORE is measured differently than its book value, which is the value of MORE that is recorded on the company's balance sheet. Investors also form their own opinion of MORE's value that differs from its market value or its book value, called intrinsic value, which is MORE'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 MORE's market value can be influenced by many factors that don't directly affect MORE'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 MORE's value and its price as these two are different measures arrived at by different means. Investors typically determine if MORE is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, MORE'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.