IGEN Networks Pink Sheet Forecast - Polynomial Regression
The Polynomial Regression forecasted value of IGEN Networks Corp on the next trading day is expected to be 0.000071 with a mean absolute deviation of 0.00000764 and the sum of the absolute errors of 0.0005. IGEN Pink Sheet Forecast is based on your current time horizon.
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IGEN Networks Polynomial Regression Price Forecast For the 14th of December 2024
Given 90 days horizon, the Polynomial Regression forecasted value of IGEN Networks Corp on the next trading day is expected to be 0.000071 with a mean absolute deviation of 0.00000764, mean absolute percentage error of 0, and the sum of the absolute errors of 0.0005.Please note that although there have been many attempts to predict IGEN 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 IGEN Networks' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
IGEN Networks Pink Sheet Forecast Pattern
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IGEN Networks Forecasted Value
In the context of forecasting IGEN Networks' 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. IGEN Networks' downside and upside margins for the forecasting period are 0.00 and 127.62, respectively. We have considered IGEN Networks' 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.
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 IGEN Networks pink sheet data series using in forecasting. Note that when a statistical model is used to represent IGEN Networks 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.| AIC | Akaike Information Criteria | 96.0926 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 9.223372036854776E14 |
| SAE | Sum of the absolute errors | 5.0E-4 |
Predictive Modules for IGEN Networks
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as IGEN Networks Corp. 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 IGEN Networks' 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.
Other Forecasting Options for IGEN Networks
For every potential investor in IGEN, whether a beginner or expert, IGEN Networks' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. IGEN Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in IGEN. Basic forecasting techniques help filter out the noise by identifying IGEN Networks' price trends.IGEN Networks 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 IGEN Networks pink sheet to make a market-neutral strategy. Peer analysis of IGEN Networks could also be used in its relative valuation, which is a method of valuing IGEN Networks by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
IGEN Networks Corp 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 IGEN Networks' 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 IGEN Networks' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
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| Statistic Functions | ||
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Pair Trading with IGEN Networks
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if IGEN Networks position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in IGEN Networks will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to IGEN Networks could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace IGEN Networks when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back IGEN Networks - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling IGEN Networks Corp to buy it.
The correlation of IGEN Networks is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as IGEN Networks moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if IGEN Networks Corp moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for IGEN Networks can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in IGEN Pink Sheet
IGEN Networks financial ratios help investors to determine whether IGEN 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 IGEN with respect to the benefits of owning IGEN Networks security.