I Minerals Pink Sheet Forward View - Polynomial Regression

IMAHFDelisted Stock  USD 0.01  0.00  0.00%   
IMAHF Pink Sheet outlook is based on your current time horizon. We recommend always using this module together with an analysis of I Minerals' historical fundamentals, such as revenue growth or operating cash flow patterns.
The relative strength index (RSI) of I Minerals' pink sheet price is roughly 67. This usually indicates that the pink sheet is rather overbought by investors as of 1st of February 2026. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling IMAHF, making its price go up or down.

Momentum 67

 Buy Stretched

 
Oversold
 
Overbought
The successful prediction of I Minerals' 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 I Minerals and does not consider all of the tangible or intangible factors available from I Minerals' fundamental data. We analyze noise-free headlines and recent hype associated with I Minerals, which may create opportunities for some arbitrage if properly timed.
Using I Minerals hype-based prediction, you can estimate the value of I Minerals from the perspective of I Minerals response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of I Minerals on the next trading day is expected to be 0.01 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.11.

I Minerals after-hype prediction price

    
  USD 0.01  
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 Risk vs Return 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.

I Minerals Additional Predictive Modules

Most predictive techniques to examine IMAHF price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for IMAHF using various technical indicators. When you analyze IMAHF 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.
I Minerals polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for I Minerals as well as the accuracy indicators are determined from the period prices.

I Minerals Polynomial Regression Price Forecast For the 2nd of February

Given 90 days horizon, the Polynomial Regression forecasted value of I Minerals on the next trading day is expected to be 0.01 with a mean absolute deviation of 0, mean absolute percentage error of 0.00000588, and the sum of the absolute errors of 0.11.
Please note that although there have been many attempts to predict IMAHF 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 I Minerals' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

I Minerals 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 I Minerals pink sheet data series using in forecasting. Note that when a statistical model is used to represent I Minerals 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 Criteria106.0672
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0018
MAPEMean absolute percentage error0.6283
SAESum of the absolute errors0.1127
A single variable polynomial regression model attempts to put a curve through the I Minerals 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 I Minerals

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as I Minerals. 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
0.010.010.01
Details
Intrinsic
Valuation
LowRealHigh
0.010.010.01
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as I Minerals. Your research has to be compared to or analyzed against I Minerals' peers to derive any actionable benefits. When done correctly, I Minerals' 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 I Minerals.

I Minerals After-Hype Price Density Analysis

As far as predicting the price of I Minerals at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in I Minerals or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Pink Sheet prices, such as prices of I Minerals, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

I Minerals Estimiated After-Hype Price Volatility

In the context of predicting I Minerals' pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on I Minerals' historical news coverage. I Minerals' after-hype downside and upside margins for the prediction period are 0.01 and 0.01, respectively. We have considered I Minerals' daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
0.01
0.01
After-hype Price
0.01
Upside
I Minerals is very steady at this time. Analysis and calculation of next after-hype price of I Minerals is based on 3 months time horizon.

I Minerals Pink Sheet Price Outlook Analysis

Have you ever been surprised when a price of a Company such as I Minerals is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading I Minerals backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Pink Sheet price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with I Minerals, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
 0.00  
0.00
 0.00  
 0.00  
1 Events / Month
0 Events / Month
Very soon
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
0.01
0.01
25.00 
0.00  
Notes

I Minerals Hype Timeline

I Minerals is currently traded for 0.01. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. IMAHF is forecasted to increase in value after the next headline, with the price projected to jump to 0.01 or above. The average volatility of media hype impact on the company the price is insignificant. The price rise on the next news is estimated to be 25.0%, whereas the daily expected return is currently at 0.0%. The volatility of related hype on I Minerals is about 0.0%, with the expected price after the next announcement by competition of 0.01. I Minerals has accumulated 35.23 M in total debt with debt to equity ratio (D/E) of 0.75, which is about average as compared to similar companies. I Minerals has a current ratio of 0.01, indicating that it has a negative working capital and may not be able to pay financial obligations in time and when they become due. Debt can assist I Minerals until it has trouble settling it off, either with new capital or with free cash flow. So, I Minerals' shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like I Minerals sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for IMAHF to invest in growth at high rates of return. When we think about I Minerals' use of debt, we should always consider it together with cash and equity.Assuming the 90 days horizon the next forecasted press release will be very soon.
Check out Risk vs Return 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.

I Minerals Related Hype Analysis

Having access to credible news sources related to I Minerals' direct competition is more important than ever and may enhance your ability to predict I Minerals' future price movements. Getting to know how I Minerals' peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how I Minerals may potentially react to the hype associated with one of its peers.

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

I Minerals Market Strength Events

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

I Minerals Risk Indicators

The analysis of I Minerals' 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 I Minerals' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting imahf 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.

Story Coverage note for I Minerals

The number of cover stories for I Minerals depends on current market conditions and I Minerals' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that I Minerals is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about I Minerals' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Other Macroaxis Stories

Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios

I Minerals Short Properties

I Minerals' future price predictability will typically decrease when I Minerals' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of I Minerals often depends not only on the future outlook of the potential I Minerals' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. I Minerals' indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding93.7 M
Cash And Short Term Investments20.5 K
Check out Risk vs Return 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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.

Other Consideration for investing in IMAHF Pink Sheet

If you are still planning to invest in I Minerals 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 I Minerals' history and understand the potential risks before investing.
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