HU Group Pink Sheet Forecast - Polynomial Regression

MRCHFDelisted Stock  USD 15.97  0.00  0.00%   
The Polynomial Regression forecasted value of HU Group Holdings on the next trading day is expected to be 15.70 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.64. MRCHF Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of HU Group's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
HU Group polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for HU Group Holdings as well as the accuracy indicators are determined from the period prices.

HU Group Polynomial Regression Price Forecast For the 28th of November

Given 90 days horizon, the Polynomial Regression forecasted value of HU Group Holdings on the next trading day is expected to be 15.70 with a mean absolute deviation of 0.04, mean absolute percentage error of 0.01, and the sum of the absolute errors of 2.64.
Please note that although there have been many attempts to predict MRCHF 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 HU Group's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

HU Group 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 HU Group pink sheet data series using in forecasting. Note that when a statistical model is used to represent HU Group 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 Criteria113.1847
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0432
MAPEMean absolute percentage error0.0027
SAESum of the absolute errors2.6371
A single variable polynomial regression model attempts to put a curve through the HU Group 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 HU Group

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as HU Group Holdings. 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
15.1315.9716.81
Details
Intrinsic
Valuation
LowRealHigh
12.6413.4817.57
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as HU Group. Your research has to be compared to or analyzed against HU Group's peers to derive any actionable benefits. When done correctly, HU Group's 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 HU Group Holdings.

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

HU Group Market Strength Events

Market strength indicators help investors to evaluate how HU Group pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading HU Group shares will generate the highest return on investment. By undertsting and applying HU Group pink sheet market strength indicators, traders can identify HU Group Holdings entry and exit signals to maximize returns.

HU Group Risk Indicators

The analysis of HU Group's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in HU Group's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting mrchf pink sheet prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Currently Active Assets on Macroaxis

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 rate.
You can also try the Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.

Other Consideration for investing in MRCHF Pink Sheet

If you are still planning to invest in HU Group Holdings 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 HU Group's history and understand the potential risks before investing.
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