IGas Energy Pink Sheet Forecast - Simple Regression

IGESF Stock  USD 0.13  0.01  7.14%   
The Simple Regression forecasted value of IGas Energy plc on the next trading day is expected to be 0.14 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.44. IGas Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of IGas Energy's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 23rd of January 2026 the relative strength index (rsi) of IGas Energy's share price is below 20 . This usually 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 IGas Energy'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 IGas Energy and does not consider all of the tangible or intangible factors available from IGas Energy's fundamental data. We analyze noise-free headlines and recent hype associated with IGas Energy plc, which may create opportunities for some arbitrage if properly timed.
Using IGas Energy hype-based prediction, you can estimate the value of IGas Energy plc from the perspective of IGas Energy response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of IGas Energy plc on the next trading day is expected to be 0.14 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.44.

IGas Energy after-hype prediction price

    
  USD 0.13  
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 IGas Energy to cross-verify your projections.

IGas Energy Additional Predictive Modules

Most predictive techniques to examine IGas price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for IGas using various technical indicators. When you analyze IGas 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.
Simple Regression model is a single variable regression model that attempts to put a straight line through IGas Energy price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

IGas Energy Simple Regression Price Forecast For the 24th of January

Given 90 days horizon, the Simple Regression forecasted value of IGas Energy plc on the next trading day is expected to be 0.14 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.000068, and the sum of the absolute errors of 0.44.
Please note that although there have been many attempts to predict IGas 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 IGas Energy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

IGas Energy Pink Sheet Forecast Pattern

Backtest IGas EnergyIGas Energy Price PredictionBuy or Sell Advice 

IGas Energy Forecasted Value

In the context of forecasting IGas Energy'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. IGas Energy's downside and upside margins for the forecasting period are 0 and 3.73, respectively. We have considered IGas Energy'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
0.13
0.14
Expected Value
3.73
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of IGas Energy pink sheet data series using in forecasting. Note that when a statistical model is used to represent IGas Energy 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 Criteria108.5218
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0072
MAPEMean absolute percentage error0.0602
SAESum of the absolute errors0.4419
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as IGas Energy plc historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for IGas Energy

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as IGas Energy plc. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of IGas Energy's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
0.010.133.72
Details
Intrinsic
Valuation
LowRealHigh
0.010.113.70
Details

IGas Energy After-Hype Price Prediction Density Analysis

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

IGas Energy Estimiated After-Hype Price Volatility

In the context of predicting IGas Energy's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on IGas Energy's historical news coverage. IGas Energy's after-hype downside and upside margins for the prediction period are 0.01 and 3.72, respectively. We have considered IGas Energy'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
0.13
0.13
After-hype Price
3.72
Upside
IGas Energy is out of control at this time. Analysis and calculation of next after-hype price of IGas Energy plc is based on 3 months time horizon.

IGas Energy Pink Sheet Price Prediction Analysis

Have you ever been surprised when a price of a Company such as IGas Energy is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading IGas Energy 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 IGas Energy, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.32 
3.59
 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
0.13
0.13
0.00 
0.00  
Notes

IGas Energy Hype Timeline

IGas Energy plc is currently traded for 0.13. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. IGas 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 0.32%. %. The volatility of related hype on IGas Energy is about 0.0%, with the expected price after the next announcement by competition of 0.13. About 56.0% of the company shares are owned by institutional investors. The company has price-to-book (P/B) ratio of 0.29. Some equities with similar Price to Book (P/B) outperform the market in the long run. IGas Energy plc had not issued any dividends in recent years. The entity had 10:200 split on the 15th of June 2017. Assuming the 90 days horizon the next projected press release will be uncertain.
Check out Historical Fundamental Analysis of IGas Energy to cross-verify your projections.

IGas Energy Related Hype Analysis

Having access to credible news sources related to IGas Energy's direct competition is more important than ever and may enhance your ability to predict IGas Energy's future price movements. Getting to know how IGas Energy'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 IGas Energy 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
EEENF88 Energy Limited 0.00 0 per month 7.20  0.07  14.40 (12.33) 41.75 
SOUTFSouthern Cross Media 0.00 0 per month 6.36  0.09  16.67 (11.96) 43.96 
LEKOFLekoil Limited 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
GXRFFProspera Energy 0.00 0 per month 0.00 (0.09) 8.95 (9.67) 38.06 
OTTEFOtto Energy Limited 0.00 0 per month 16.89  0.13  56.25 (46.67) 461.19 
CNUCFCanuc Resources 0.00 0 per month 5.54  0.12  14.33 (8.33) 45.69 
NRISNorris Industries 0.00 0 per month 0.00  0  0.00  0.00  27.27 
OIGLFChariot Oil Gas 0.00 0 per month 12.01  0.09  50.00 (33.33) 233.33 
KEGXKey Energy Services 0.00 0 per month 0.00  0.16  16.79  0.00  1,151 
HEEVFHelium Evolution Incorporated 0.00 0 per month 0.00  0.03  0.00  0.00  120.00 

Other Forecasting Options for IGas Energy

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

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

IGas Energy Market Strength Events

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

IGas Energy Risk Indicators

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

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

IGas Energy financial ratios help investors to determine whether IGas 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 IGas with respect to the benefits of owning IGas Energy security.