Varta AG OTC Stock Forecast - Polynomial Regression

VARGF Stock  USD 20.20  0.00  0.00%   
The Polynomial Regression forecasted value of Varta AG on the next trading day is expected to be 20.20 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. Varta OTC Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Varta AG's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Varta AG polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Varta AG as well as the accuracy indicators are determined from the period prices.

Varta AG Polynomial Regression Price Forecast For the 30th of December

Given 90 days horizon, the Polynomial Regression forecasted value of Varta AG on the next trading day is expected to be 20.20 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.
Please note that although there have been many attempts to predict Varta OTC 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 Varta AG's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Varta AG OTC Stock Forecast Pattern

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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 Varta AG otc stock data series using in forecasting. Note that when a statistical model is used to represent Varta AG otc 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 Criteria58.4612
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
A single variable polynomial regression model attempts to put a curve through the Varta AG 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 Varta AG

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Varta AG. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc 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
20.2020.2020.20
Details
Intrinsic
Valuation
LowRealHigh
20.2020.2020.20
Details
Bollinger
Band Projection (param)
LowMiddleHigh
20.2020.2020.20
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Varta AG. Your research has to be compared to or analyzed against Varta AG's peers to derive any actionable benefits. When done correctly, Varta AG'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 Varta AG.

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

Varta AG Market Strength Events

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

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Other Information on Investing in Varta OTC Stock

Varta AG financial ratios help investors to determine whether Varta OTC 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 Varta with respect to the benefits of owning Varta AG security.