MusclePharm Pink Sheet Forecast - Polynomial Regression

The Polynomial Regression forecasted value of MusclePharm on the next trading day is expected to be -0.0002 with a mean absolute deviation of 0.0001 and the sum of the absolute errors of 0.01. MusclePharm Pink Sheet Forecast is based on your current time horizon.
  
MusclePharm polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for MusclePharm as well as the accuracy indicators are determined from the period prices.

MusclePharm Polynomial Regression Price Forecast For the 10th of January

Given 90 days horizon, the Polynomial Regression forecasted value of MusclePharm on the next trading day is expected to be -0.0002 with a mean absolute deviation of 0.0001, mean absolute percentage error of 0.00000003, and the sum of the absolute errors of 0.01.
Please note that although there have been many attempts to predict MusclePharm 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 MusclePharm's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

MusclePharm Pink Sheet Forecast Pattern

Backtest MusclePharmMusclePharm Price PredictionBuy or Sell Advice 

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 MusclePharm pink sheet data series using in forecasting. Note that when a statistical model is used to represent MusclePharm 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 Criteria100.8741
BiasArithmetic mean of the errors None
MADMean absolute deviation1.0E-4
MAPEMean absolute percentage error9.223372036854776E14
SAESum of the absolute errors0.0074
A single variable polynomial regression model attempts to put a curve through the MusclePharm 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 MusclePharm

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as MusclePharm. 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
LowEstimatedHigh
0.000.000.00
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Intrinsic
Valuation
LowRealHigh
0.000.000.00
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MusclePharm 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 MusclePharm pink sheet to make a market-neutral strategy. Peer analysis of MusclePharm could also be used in its relative valuation, which is a method of valuing MusclePharm by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Pair Trading with MusclePharm

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

Moving together with MusclePharm Pink Sheet

  0.63PPERY Bank Mandiri PerseroPairCorr
  0.71BKRKY Bank RakyatPairCorr

Moving against MusclePharm Pink Sheet

  0.68BAC Bank of America Earnings Call This WeekPairCorr
  0.62WMT Walmart Aggressive PushPairCorr
  0.53GOOGL Alphabet Class A Aggressive PushPairCorr
  0.53AXP American Express Fiscal Year End 24th of January 2025 PairCorr
  0.42MSFT MicrosoftPairCorr
The ability to find closely correlated positions to MusclePharm could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace MusclePharm when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back MusclePharm - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling MusclePharm to buy it.
The correlation of MusclePharm is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as MusclePharm moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if MusclePharm moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for MusclePharm can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in american community survey.
You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.

Other Consideration for investing in MusclePharm Pink Sheet

If you are still planning to invest in MusclePharm check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the MusclePharm's history and understand the potential risks before investing.
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