Therasense Pink Sheet Forecast - Polynomial Regression

The Polynomial Regression forecasted value of Therasense on the next trading day is expected to be 0.000074 with a mean absolute deviation of 0.00000482 and the sum of the absolute errors of 0.0003. Therasense Pink Sheet Forecast is based on your current time horizon.
  
Therasense polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Therasense as well as the accuracy indicators are determined from the period prices.

Therasense Polynomial Regression Price Forecast For the 13th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of Therasense on the next trading day is expected to be 0.000074 with a mean absolute deviation of 0.00000482, mean absolute percentage error of 0, and the sum of the absolute errors of 0.0003.
Please note that although there have been many attempts to predict Therasense Pink Sheet 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 Therasense's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Therasense Pink Sheet Forecast Pattern

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Therasense Forecasted Value

In the context of forecasting Therasense's Pink Sheet value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Therasense's downside and upside margins for the forecasting period are 0.00 and 12.60, respectively. We have considered Therasense's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
0.00
0.000074
Expected Value
12.60
Upside

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 Therasense pink sheet data series using in forecasting. Note that when a statistical model is used to represent Therasense 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.
AICAkaike Information Criteria95.3143
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error9.223372036854776E14
SAESum of the absolute errors3.0E-4
A single variable polynomial regression model attempts to put a curve through the Therasense 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 Therasense

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Therasense. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Therasense's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
0.000.0012.60
Details
Intrinsic
Valuation
LowRealHigh
0.000.0012.60
Details
Bollinger
Band Projection (param)
LowMiddleHigh
0.0000930.0000930.000093
Details

Other Forecasting Options for Therasense

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

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Therasense 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 Therasense'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 Therasense's current price.

Additional Tools for Therasense Pink Sheet Analysis

When running Therasense's price analysis, check to measure Therasense's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Therasense is operating at the current time. Most of Therasense's value examination focuses on studying past and present price action to predict the probability of Therasense's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Therasense's price. Additionally, you may evaluate how the addition of Therasense to your portfolios can decrease your overall portfolio volatility.