IGO Pink Sheet Forecast - Double Exponential Smoothing

IPGDF Stock  USD 5.46  0.00  0.00%   
The Double Exponential Smoothing forecasted value of IGO Limited on the next trading day is expected to be 5.47 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 4.74. IGO Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of IGO's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 5th of January 2026 The relative strength index (RSI) of IGO's share price is above 80 . This usually indicates that the pink sheet is significantly overbought by investors. 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 99

 Buy Peaked

 
Oversold
 
Overbought
The successful prediction of IGO'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 IGO and does not consider all of the tangible or intangible factors available from IGO's fundamental data. We analyze noise-free headlines and recent hype associated with IGO Limited, which may create opportunities for some arbitrage if properly timed.
Using IGO hype-based prediction, you can estimate the value of IGO Limited from the perspective of IGO response to recently generated media hype and the effects of current headlines on its competitors.
The Double Exponential Smoothing forecasted value of IGO Limited on the next trading day is expected to be 5.47 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 4.74.

IGO after-hype prediction price

    
  USD 5.46  
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 IGO to cross-verify your projections.

IGO Additional Predictive Modules

Most predictive techniques to examine IGO price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for IGO using various technical indicators. When you analyze IGO 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.
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for IGO works best with periods where there are trends or seasonality.

IGO Double Exponential Smoothing Price Forecast For the 6th of January

Given 90 days horizon, the Double Exponential Smoothing forecasted value of IGO Limited on the next trading day is expected to be 5.47 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.02, and the sum of the absolute errors of 4.74.
Please note that although there have been many attempts to predict IGO 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 IGO's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

IGO Pink Sheet Forecast Pattern

Backtest IGOIGO Price PredictionBuy or Sell Advice 

IGO Forecasted Value

In the context of forecasting IGO'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. IGO's downside and upside margins for the forecasting period are 1.59 and 9.35, respectively. We have considered IGO'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
5.46
5.47
Expected Value
9.35
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of IGO pink sheet data series using in forecasting. Note that when a statistical model is used to represent IGO 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 CriteriaHuge
BiasArithmetic mean of the errors -0.0303
MADMean absolute deviation0.0803
MAPEMean absolute percentage error0.0185
SAESum of the absolute errors4.7374
When IGO Limited prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any IGO Limited trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent IGO observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for IGO

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as IGO Limited. 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 IGO'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
1.585.469.34
Details
Intrinsic
Valuation
LowRealHigh
0.394.278.15
Details

Other Forecasting Options for IGO

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

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

IGO Limited Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of IGO's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of IGO's current price.

IGO Market Strength Events

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

IGO Risk Indicators

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

Currently Active Assets on Macroaxis

Other Information on Investing in IGO Pink Sheet

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