MagForce Pink Sheet Forecast - Polynomial Regression

MGFRFDelisted Stock  USD 0.0004  0.00  0.00%   
The Polynomial Regression forecasted value of MagForce AG on the next trading day is expected to be 0.0004 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. MagForce Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of MagForce's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 15th of January 2026 the relative strength index (rsi) of MagForce's share price is below 20 . This indicates that the pink sheet is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of MagForce's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of MagForce and does not consider all of the tangible or intangible factors available from MagForce's fundamental data. We analyze noise-free headlines and recent hype associated with MagForce AG, which may create opportunities for some arbitrage if properly timed.
Using MagForce hype-based prediction, you can estimate the value of MagForce AG from the perspective of MagForce response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of MagForce AG on the next trading day is expected to be 0.0004 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.

MagForce after-hype prediction price

    
  USD 4.0E-4  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
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 real.

MagForce Additional Predictive Modules

Most predictive techniques to examine MagForce price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for MagForce using various technical indicators. When you analyze MagForce charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
MagForce polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for MagForce AG as well as the accuracy indicators are determined from the period prices.

MagForce Polynomial Regression Price Forecast For the 16th of January 2026

Given 90 days horizon, the Polynomial Regression forecasted value of MagForce AG on the next trading day is expected to be 0.0004 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 MagForce 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 MagForce's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

MagForce Pink Sheet Forecast Pattern

Backtest MagForceMagForce 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 MagForce pink sheet data series using in forecasting. Note that when a statistical model is used to represent MagForce 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 Criteria37.1515
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 MagForce 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 MagForce

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as MagForce AG. 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
0.000.00040.00
Details
Intrinsic
Valuation
LowRealHigh
0.000.00030.00
Details

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

MagForce Market Strength Events

Market strength indicators help investors to evaluate how MagForce 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 MagForce shares will generate the highest return on investment. By undertsting and applying MagForce pink sheet market strength indicators, traders can identify MagForce AG 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 real.
You can also try the Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.

Other Consideration for investing in MagForce Pink Sheet

If you are still planning to invest in MagForce AG 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 MagForce's history and understand the potential risks before investing.
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets
Portfolio Diagnostics
Use generated alerts and portfolio events aggregator to diagnose current holdings
Crypto Correlations
Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins
Content Syndication
Quickly integrate customizable finance content to your own investment portal
Risk-Return Analysis
View associations between returns expected from investment and the risk you assume
Bonds Directory
Find actively traded corporate debentures issued by US companies
Top Crypto Exchanges
Search and analyze digital assets across top global cryptocurrency exchanges
Latest Portfolios
Quick portfolio dashboard that showcases your latest portfolios
Premium Stories
Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope