Integrated Biopharma OTC Stock Forecast - Polynomial Regression

Integrated Biopharma polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Integrated Biopharma as well as the accuracy indicators are determined from the period prices.

Integrated Biopharma Polynomial Regression Price Forecast For the 3rd of December

Given 90 days horizon, the Polynomial Regression forecasted value of Integrated Biopharma on the next trading day is expected to be 0.32 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0004, and the sum of the absolute errors of 0.95.

Integrated Biopharma OTC Stock Forecast Pattern

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Integrated Biopharma Price Prediction

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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 Integrated Biopharma otc stock data series using in forecasting. Note that when a statistical model is used to represent Integrated Biopharma 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. A single variable polynomial regression model attempts to put a curve through the Integrated Biopharma 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 + ... + a_m*X^m

Predictive Modules for Integrated Biopharma

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Integrated Biopharma. 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 Low Estimated High 0.33 0.33 0.33 Details

Intrinsic Valuation Low Real High 0.29 0.29 0.36 Details

Bollinger Band Projection (param) Low Middle High 0.30 0.34 0.39 Details

Please note, it is not enough to conduct a financial or market analysis of a single entity such as Integrated Biopharma. Your research has to be compared to or analyzed against Integrated Biopharma's peers to derive any actionable benefits. When done correctly, Integrated Biopharma'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 Integrated Biopharma.

Integrated Biopharma Related Equities

Risk & Return

Correlation

Integrated Biopharma Market Strength Events

Integrated Biopharma Risk Indicators

Pair Trading with Integrated Biopharma

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Integrated Biopharma position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Integrated Biopharma will appreciate offsetting losses from the drop in the long position's value.

Other Consideration for investing in Integrated OTC Stock