Alta Copper Stock Forecast - Polynomial Regression

ATCU Stock   0.27  0.00  0.00%   
The Polynomial Regression forecasted value of Alta Copper Corp on the next trading day is expected to be 0.39 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.15. Investors can use prediction functions to forecast Alta Copper's stock prices and determine the direction of Alta Copper Corp's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We recommend always using this module together with an analysis of Alta Copper's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
  
Alta Copper polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Alta Copper Corp as well as the accuracy indicators are determined from the period prices.

Alta Copper Polynomial Regression Price Forecast For the 25th of January

Given 90 days horizon, the Polynomial Regression forecasted value of Alta Copper Corp on the next trading day is expected to be 0.39 with a mean absolute deviation of 0.04, mean absolute percentage error of 0, and the sum of the absolute errors of 2.15.
Please note that although there have been many attempts to predict Alta 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 Alta Copper's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Alta Copper Stock Forecast Pattern

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 Alta Copper stock data series using in forecasting. Note that when a statistical model is used to represent Alta Copper 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 Criteria111.9058
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0352
MAPEMean absolute percentage error0.0864
SAESum of the absolute errors2.1502
A single variable polynomial regression model attempts to put a curve through the Alta Copper 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 Alta Copper

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Alta Copper Corp. 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.

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

Alta Copper Market Strength Events

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

Alta Copper Risk Indicators

The analysis of Alta Copper'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 Alta Copper's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting alta 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.

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