Diffusion Pharmaceuticals Stock Forecast - Polynomial Regression

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

Diffusion Pharmaceuticals Polynomial Regression Price Forecast For the 19th of December

Given 90 days horizon, the Polynomial Regression forecasted value of Diffusion Pharmaceuticals on the next trading day is expected to be 3.09 with a mean absolute deviation of 0.12, mean absolute percentage error of 0.02, and the sum of the absolute errors of 7.10.

Diffusion Pharmaceuticals 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 Diffusion Pharmaceuticals stock data series using in forecasting. Note that when a statistical model is used to represent Diffusion Pharmaceuticals 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 Diffusion Pharmaceuticals 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 Diffusion Pharmaceuticals

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Diffusion Pharmaceuticals. 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 Low Estimated High 3.27 3.27 3.27 Details

Intrinsic Valuation Low Real High 2.89 2.89 3.60 Details

Bollinger Band Projection (param) Low Middle High 2.75 3.52 4.29 Details

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

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Diffusion Pharmaceuticals Market Strength Events

Diffusion Pharmaceuticals Risk Indicators

Pair Trading with Diffusion Pharmaceuticals

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 Diffusion Pharmaceuticals 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 Diffusion Pharmaceuticals will appreciate offsetting losses from the drop in the long position's value.

Other Consideration for investing in Diffusion Stock