MCI Onehealth Pink Sheet Forecast - Polynomial Regression

MCIOFDelisted Stock  USD 0.55  0.00  0.00%   
The Polynomial Regression forecasted value of MCI Onehealth Technologies on the next trading day is expected to be 0.55 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. MCI Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of MCI Onehealth's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
MCI Onehealth polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for MCI Onehealth Technologies as well as the accuracy indicators are determined from the period prices.

MCI Onehealth Polynomial Regression Price Forecast For the 1st of December

Given 90 days horizon, the Polynomial Regression forecasted value of MCI Onehealth Technologies on the next trading day is expected to be 0.55 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.
Please note that although there have been many attempts to predict MCI 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 MCI Onehealth's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

MCI Onehealth 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 MCI Onehealth pink sheet data series using in forecasting. Note that when a statistical model is used to represent MCI Onehealth 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 Criteria48.1077
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 MCI Onehealth 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 MCI Onehealth

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as MCI Onehealth Techno. 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
0.550.550.55
Details
Intrinsic
Valuation
LowRealHigh
0.470.470.61
Details

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

MCI Onehealth Market Strength Events

Market strength indicators help investors to evaluate how MCI Onehealth 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 MCI Onehealth shares will generate the highest return on investment. By undertsting and applying MCI Onehealth pink sheet market strength indicators, traders can identify MCI Onehealth Technologies entry and exit signals to maximize returns.

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 persons.
You can also try the Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.

Other Consideration for investing in MCI Pink Sheet

If you are still planning to invest in MCI Onehealth Techno 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 MCI Onehealth's history and understand the potential risks before investing.
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