Hemp Pink Sheet Forecast - Polynomial Regression

The Polynomial Regression forecasted value of Hemp Inc on the next trading day is expected to be 0.00 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. Hemp Pink Sheet Forecast is based on your current time horizon.
  
Hemp polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Hemp Inc as well as the accuracy indicators are determined from the period prices.

Hemp Polynomial Regression Price Forecast For the 5th of December

Given 90 days horizon, the Polynomial Regression forecasted value of Hemp Inc on the next trading day is expected to be 0.00 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.
Please note that although there have been many attempts to predict Hemp 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 Hemp's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Hemp Pink Sheet Forecast Pattern

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Hemp Forecasted Value

In the context of forecasting Hemp'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. Hemp's downside and upside margins for the forecasting period are 0.00 and 0.00, respectively. We have considered Hemp'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
0.00
Expected Value
0.00
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 Hemp pink sheet data series using in forecasting. Note that when a statistical model is used to represent Hemp 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 Criteria-9.223372036854776E14
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
A single variable polynomial regression model attempts to put a curve through the Hemp 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 Hemp

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hemp Inc. 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
Details
Intrinsic
Valuation
LowRealHigh
0.000.000.00
Details

Other Forecasting Options for Hemp

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

Hemp 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 Hemp pink sheet to make a market-neutral strategy. Peer analysis of Hemp could also be used in its relative valuation, which is a method of valuing Hemp by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Hemp Inc 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 Hemp'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 Hemp's current price.

Pair Trading with Hemp

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 Hemp 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 Hemp will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Hemp could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Hemp 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 Hemp - 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 Hemp Inc to buy it.
The correlation of Hemp 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 Hemp moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Hemp Inc 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 Hemp 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

Additional Tools for Hemp Pink Sheet Analysis

When running Hemp's price analysis, check to measure Hemp'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 Hemp is operating at the current time. Most of Hemp's value examination focuses on studying past and present price action to predict the probability of Hemp's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hemp's price. Additionally, you may evaluate how the addition of Hemp to your portfolios can decrease your overall portfolio volatility.