Pesquera Exalmar Stock Forecast - Polynomial Regression

EXALMC1 Stock   2.58  0.00  0.00%   
The Polynomial Regression forecasted value of Pesquera Exalmar SAA on the next trading day is expected to be 2.58 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 3.08. Pesquera Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Pesquera Exalmar stock prices and determine the direction of Pesquera Exalmar SAA's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Pesquera Exalmar's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Pesquera Exalmar polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Pesquera Exalmar SAA as well as the accuracy indicators are determined from the period prices.

Pesquera Exalmar Polynomial Regression Price Forecast For the 11th of January 2025

Given 90 days horizon, the Polynomial Regression forecasted value of Pesquera Exalmar SAA on the next trading day is expected to be 2.58 with a mean absolute deviation of 0.05, mean absolute percentage error of 0, and the sum of the absolute errors of 3.08.
Please note that although there have been many attempts to predict Pesquera 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 Pesquera Exalmar's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Pesquera Exalmar 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 Pesquera Exalmar stock data series using in forecasting. Note that when a statistical model is used to represent Pesquera Exalmar 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 Criteria112.5433
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0505
MAPEMean absolute percentage error0.0245
SAESum of the absolute errors3.0789
A single variable polynomial regression model attempts to put a curve through the Pesquera Exalmar 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 Pesquera Exalmar

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Pesquera Exalmar SAA. 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.
Hype
Prediction
LowEstimatedHigh
0.582.584.58
Details
Intrinsic
Valuation
LowRealHigh
0.802.804.80
Details

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

Pesquera Exalmar Market Strength Events

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

Pesquera Exalmar Risk Indicators

The analysis of Pesquera Exalmar'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 Pesquera Exalmar's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting pesquera 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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Other Information on Investing in Pesquera Stock

Pesquera Exalmar financial ratios help investors to determine whether Pesquera 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 Pesquera with respect to the benefits of owning Pesquera Exalmar security.