Nanosphere Health Pink Sheet Forecast - Polynomial Regression

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

Nanosphere Health Polynomial Regression Price Forecast For the 30th of December

Given 90 days horizon, the Polynomial Regression forecasted value of Nanosphere Health Sciences on the next trading day is expected to be 0.02 with a mean absolute deviation of 0, mean absolute percentage error of 0.00000231, and the sum of the absolute errors of 0.06.

Nanosphere Health 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 Nanosphere Health pink sheet data series using in forecasting. Note that when a statistical model is used to represent Nanosphere Health 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. A single variable polynomial regression model attempts to put a curve through the Nanosphere Health 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 Nanosphere Health

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Nanosphere Health. 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 Low Estimated High 0.00 0.01 26.02 Details

Intrinsic Valuation Low Real High 0.00 0.01 26.02 Details

Bollinger Band Projection (param) Low Middle High 0 0.01 0.02 Details

Other Forecasting Options for Nanosphere Health

For every potential investor in Nanosphere, whether a beginner or expert, Nanosphere Health's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Nanosphere Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Nanosphere. Basic forecasting techniques help filter out the noise by identifying Nanosphere Health's price trends.

Nanosphere Health Related Equities

Risk & Return

Correlation

Nanosphere Health Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Nanosphere Health's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Nanosphere Health's current price.

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