Greenland Minerals Pink Sheet Forecast - Triple Exponential Smoothing
| GDLNF Stock | USD 0.02 0 10.00% |
The Triple Exponential Smoothing forecasted value of Greenland Minerals And on the next trading day is expected to be 0.02 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.20. Greenland Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Greenland Minerals' historical fundamentals, such as revenue growth or operating cash flow patterns.
Greenland |
Greenland Minerals Triple Exponential Smoothing Price Forecast For the 14th of December 2024
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Greenland Minerals And on the next trading day is expected to be 0.02 with a mean absolute deviation of 0, mean absolute percentage error of 0.000018, and the sum of the absolute errors of 0.20.Please note that although there have been many attempts to predict Greenland 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 Greenland Minerals' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Greenland Minerals Pink Sheet Forecast Pattern
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Greenland Minerals Forecasted Value
In the context of forecasting Greenland Minerals' 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. Greenland Minerals' downside and upside margins for the forecasting period are 0.0002 and 35.54, respectively. We have considered Greenland Minerals' 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 Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Greenland Minerals pink sheet data series using in forecasting. Note that when a statistical model is used to represent Greenland 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.| AIC | Akaike Information Criteria | Huge |
| Bias | Arithmetic mean of the errors | 1.0E-4 |
| MAD | Mean absolute deviation | 0.0033 |
| MAPE | Mean absolute percentage error | 0.2438 |
| SAE | Sum of the absolute errors | 0.1984 |
Predictive Modules for Greenland 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 Greenland Minerals And. 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.Other Forecasting Options for Greenland Minerals
For every potential investor in Greenland, whether a beginner or expert, Greenland Minerals' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Greenland Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Greenland. Basic forecasting techniques help filter out the noise by identifying Greenland Minerals' price trends.Greenland 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 Greenland Minerals pink sheet to make a market-neutral strategy. Peer analysis of Greenland Minerals could also be used in its relative valuation, which is a method of valuing Greenland Minerals by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Greenland Minerals And 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 Greenland Minerals' 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 Greenland Minerals' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Greenland Minerals Market Strength Events
Market strength indicators help investors to evaluate how Greenland 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 Greenland Minerals shares will generate the highest return on investment. By undertsting and applying Greenland Minerals pink sheet market strength indicators, traders can identify Greenland Minerals And entry and exit signals to maximize returns.
| Accumulation Distribution | 201289.0 | |||
| Daily Balance Of Power | 0.15 | |||
| Rate Of Daily Change | 1.1 | |||
| Day Median Price | 0.015 | |||
| Day Typical Price | 0.0155 | |||
| Price Action Indicator | 0.0023 | |||
| Period Momentum Indicator | 0.0015 |
Greenland Minerals Risk Indicators
The analysis of Greenland 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 Greenland Minerals' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting greenland 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.
| Mean Deviation | 20.83 | |||
| Semi Deviation | 18.53 | |||
| Standard Deviation | 35.37 | |||
| Variance | 1251.3 | |||
| Downside Variance | 1508.98 | |||
| Semi Variance | 343.47 | |||
| Expected Short fall | (53.80) |
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.
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Other Information on Investing in Greenland Pink Sheet
Greenland Minerals financial ratios help investors to determine whether Greenland 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 Greenland with respect to the benefits of owning Greenland Minerals security.