Interfor Pink Sheet Forward View - Polynomial Regression

IFSPF Stock  USD 7.53  0.03  0.40%   
Interfor Pink Sheet outlook is based on your current time horizon. We recommend always using this module together with an analysis of Interfor's historical fundamentals, such as revenue growth or operating cash flow patterns.
The relative strength index (RSI) of Interfor's pink sheet price is roughly 62. 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 Interfor, making its price go up or down.

Momentum 62

 Buy Extended

 
Oversold
 
Overbought
The successful prediction of Interfor'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 Interfor and does not consider all of the tangible or intangible factors available from Interfor's fundamental data. We analyze noise-free headlines and recent hype associated with Interfor, which may create opportunities for some arbitrage if properly timed.
Using Interfor hype-based prediction, you can estimate the value of Interfor from the perspective of Interfor response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Interfor on the next trading day is expected to be 8.05 with a mean absolute deviation of 0.22 and the sum of the absolute errors of 13.30.

Interfor after-hype prediction price

    
  USD 7.53  
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 Historical Fundamental Analysis of Interfor to cross-verify your projections.

Interfor Additional Predictive Modules

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

Interfor Polynomial Regression Price Forecast For the 2nd of February

Given 90 days horizon, the Polynomial Regression forecasted value of Interfor on the next trading day is expected to be 8.05 with a mean absolute deviation of 0.22, mean absolute percentage error of 0.08, and the sum of the absolute errors of 13.30.
Please note that although there have been many attempts to predict Interfor 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 Interfor's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Interfor Pink Sheet Forecast Pattern

Backtest Interfor  Interfor Price Prediction  Buy or Sell Advice  

Interfor Forecasted Value

In the context of forecasting Interfor'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. Interfor's downside and upside margins for the forecasting period are 4.74 and 11.37, respectively. We have considered Interfor'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
7.53
8.05
Expected Value
11.37
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 Interfor pink sheet data series using in forecasting. Note that when a statistical model is used to represent Interfor 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 Criteria115.5206
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2181
MAPEMean absolute percentage error0.0355
SAESum of the absolute errors13.3032
A single variable polynomial regression model attempts to put a curve through the Interfor 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 Interfor

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Interfor. 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
4.217.5310.85
Details
Intrinsic
Valuation
LowRealHigh
5.198.5111.83
Details

Interfor After-Hype Price Density Analysis

As far as predicting the price of Interfor 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 Interfor 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 Interfor, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Interfor Estimiated After-Hype Price Volatility

In the context of predicting Interfor's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Interfor's historical news coverage. Interfor's after-hype downside and upside margins for the prediction period are 4.21 and 10.85, respectively. We have considered Interfor's 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
7.53
7.53
After-hype Price
10.85
Upside
Interfor is somewhat reliable at this time. Analysis and calculation of next after-hype price of Interfor is based on 3 months time horizon.

Interfor Pink Sheet Price Outlook Analysis

Have you ever been surprised when a price of a Company such as Interfor is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Interfor 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 Interfor, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.50 
3.32
 0.00  
 0.00  
0 Events / Month
0 Events / Month
Uncertain
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
7.53
7.53
0.00 
0.00  
Notes

Interfor Hype Timeline

Interfor is currently traded for 7.53. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Interfor is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is projected to be very small, whereas the daily expected return is currently at 0.5%. %. The volatility of related hype on Interfor is about 0.0%, with the expected price after the next announcement by competition of 7.53. About 43.0% of the company shares are owned by institutional investors. The company has price-to-book (P/B) ratio of 0.58. Some equities with similar Price to Book (P/B) outperform the market in the long run. Interfor recorded earning per share (EPS) of 9.49. The entity last dividend was issued on the 27th of May 2021. Assuming the 90 days horizon the next projected press release will be uncertain.
Check out Historical Fundamental Analysis of Interfor to cross-verify your projections.

Interfor Related Hype Analysis

Having access to credible news sources related to Interfor's direct competition is more important than ever and may enhance your ability to predict Interfor's future price movements. Getting to know how Interfor's 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 Interfor may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
SRHYYSyrah Resources Limited 0.00 0 per month 11.61  0.03  23.81 (23.81) 86.31 
SYAAFSyrah Resources Limited 0.00 0 per month 0.00 (0.09) 9.52 (9.52) 25.79 
KMRPFKenmare Resources plc 0.00 0 per month 0.00 (0.05) 3.23 (4.56) 11.66 
ACSYFAccsys Technologies PLC 0.00 0 per month 0.00 (0.16) 0.00  0.00  5.75 
MTGRFMount Gibson Iron 0.00 0 per month 0.00  0.05  0.00  0.00  10.71 
AGXKFAnglo Asian Mining 0.00 0 per month 2.57  0.14  7.50 (5.41) 45.30 
GOTRFGoliath Resources Limited 0.00 0 per month 3.15 (0) 6.45 (5.50) 17.23 
EMOTFEmerita Resources Corp 0.00 0 per month 0.00 (0.03) 10.26 (6.98) 76.75 
NNXPFNanoXplore 0.00 0 per month 1.50  0.05  3.91 (2.98) 11.78 
SAPLFSylvania Platinum Limited 0.00 0 per month 3.79  0.11  8.00 (6.87) 18.87 

Other Forecasting Options for Interfor

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

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

Interfor Market Strength Events

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

Interfor Risk Indicators

The analysis of Interfor'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 Interfor's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting interfor 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 Interfor

The number of cover stories for Interfor depends on current market conditions and Interfor's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Interfor 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 Interfor's 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

Other Information on Investing in Interfor Pink Sheet

Interfor financial ratios help investors to determine whether Interfor Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Interfor with respect to the benefits of owning Interfor security.