Griffin Mining Stock Forecast - Simple Exponential Smoothing
| GFM Stock | 142.00 3.00 2.07% |
The Simple Exponential Smoothing forecasted value of Griffin Mining on the next trading day is expected to be 142.00 with a mean absolute deviation of 2.45 and the sum of the absolute errors of 147.00. Griffin Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Griffin Mining stock prices and determine the direction of Griffin Mining's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Griffin Mining's historical fundamentals, such as revenue growth or operating cash flow patterns.
Griffin |
Griffin Mining Simple Exponential Smoothing Price Forecast For the 2nd of December
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Griffin Mining on the next trading day is expected to be 142.00 with a mean absolute deviation of 2.45, mean absolute percentage error of 11.73, and the sum of the absolute errors of 147.00.Please note that although there have been many attempts to predict Griffin Stock 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 Griffin Mining's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Griffin Mining Stock Forecast Pattern
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Griffin Mining Forecasted Value
In the context of forecasting Griffin Mining's Stock 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. Griffin Mining's downside and upside margins for the forecasting period are 139.75 and 144.25, respectively. We have considered Griffin Mining'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Griffin Mining stock data series using in forecasting. Note that when a statistical model is used to represent Griffin Mining stock, 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 | 118.7351 |
| Bias | Arithmetic mean of the errors | 0.1 |
| MAD | Mean absolute deviation | 2.45 |
| MAPE | Mean absolute percentage error | 0.0163 |
| SAE | Sum of the absolute errors | 147.0 |
Predictive Modules for Griffin Mining
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Griffin Mining. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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 Griffin Mining
For every potential investor in Griffin, whether a beginner or expert, Griffin Mining's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Griffin Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Griffin. Basic forecasting techniques help filter out the noise by identifying Griffin Mining's price trends.Griffin Mining 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 Griffin Mining stock to make a market-neutral strategy. Peer analysis of Griffin Mining could also be used in its relative valuation, which is a method of valuing Griffin Mining by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Griffin Mining Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Griffin Mining'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 Griffin Mining's current price.| Cycle Indicators | ||
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| Math Transform | ||
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| Overlap Studies | ||
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| Volume Indicators |
Griffin Mining Market Strength Events
Market strength indicators help investors to evaluate how Griffin Mining stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Griffin Mining shares will generate the highest return on investment. By undertsting and applying Griffin Mining stock market strength indicators, traders can identify Griffin Mining entry and exit signals to maximize returns.
| Accumulation Distribution | 0.0377 | |||
| Daily Balance Of Power | (0.54) | |||
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 144.78 | |||
| Day Typical Price | 143.85 | |||
| Market Facilitation Index | 5.56 | |||
| Price Action Indicator | (4.28) | |||
| Period Momentum Indicator | (3.00) | |||
| Relative Strength Index | 57.24 |
Griffin Mining Risk Indicators
The analysis of Griffin Mining'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 Griffin Mining's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting griffin stock 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 | 1.68 | |||
| Semi Deviation | 2.07 | |||
| Standard Deviation | 2.28 | |||
| Variance | 5.19 | |||
| Downside Variance | 6.1 | |||
| Semi Variance | 4.28 | |||
| Expected Short fall | (2.10) |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Griffin Stock
Griffin Mining financial ratios help investors to determine whether Griffin Stock 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 Griffin with respect to the benefits of owning Griffin Mining security.