Atlas Mara Pink Sheet Forecast - Polynomial Regression

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

Atlas Mara Polynomial Regression Price Forecast For the 30th of December

Given 90 days horizon, the Polynomial Regression forecasted value of Atlas Mara Limited on the next trading day is expected to be 0.00 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.
Please note that although there have been many attempts to predict Atlas Pink Sheet 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 Atlas Mara's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Atlas Mara Pink Sheet 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 Atlas Mara pink sheet data series using in forecasting. Note that when a statistical model is used to represent Atlas Mara pink sheet, 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 Criteria-9.223372036854776E14
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 Atlas Mara 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 Atlas Mara

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Atlas Mara Limited. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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
0.000.000.00
Details
Intrinsic
Valuation
LowRealHigh
0.000.000.00
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Atlas Mara. Your research has to be compared to or analyzed against Atlas Mara's peers to derive any actionable benefits. When done correctly, Atlas Mara'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 Atlas Mara Limited.

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

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Other Information on Investing in Atlas Pink Sheet

Atlas Mara financial ratios help investors to determine whether Atlas Pink Sheet 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 Atlas with respect to the benefits of owning Atlas Mara security.