Gold Flora Pink Sheet Forecast - Simple Moving Average
| GRAM Stock | USD 0.0001 0.00 0.00% |
The Simple Moving Average forecasted value of Gold Flora on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. Gold Pink Sheet Forecast is based on your current time horizon.
Gold |
Gold Flora Simple Moving Average Price Forecast For the 27th of December
Given 90 days horizon, the Simple Moving Average forecasted value of Gold Flora on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.Please note that although there have been many attempts to predict Gold 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 Gold Flora's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Gold Flora Pink Sheet Forecast Pattern
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Gold Flora Forecasted Value
In the context of forecasting Gold Flora'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. Gold Flora's downside and upside margins for the forecasting period are 0.000001 and 125.99, respectively. We have considered Gold Flora'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 Moving Average forecasting method's relative quality and the estimations of the prediction error of Gold Flora pink sheet data series using in forecasting. Note that when a statistical model is used to represent Gold Flora 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 | -9.223372036854776E14 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 0.0 |
| SAE | Sum of the absolute errors | 0.0 |
Predictive Modules for Gold Flora
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Gold Flora. 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 Gold Flora
For every potential investor in Gold, whether a beginner or expert, Gold Flora's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Gold Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Gold. Basic forecasting techniques help filter out the noise by identifying Gold Flora's price trends.Gold Flora 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 Gold Flora pink sheet to make a market-neutral strategy. Peer analysis of Gold Flora could also be used in its relative valuation, which is a method of valuing Gold Flora by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Gold Flora 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 Gold Flora'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 Gold Flora's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
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| Price Transform | ||
| Statistic Functions | ||
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| Volume Indicators |
Gold Flora Market Strength Events
Market strength indicators help investors to evaluate how Gold Flora 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 Gold Flora shares will generate the highest return on investment. By undertsting and applying Gold Flora pink sheet market strength indicators, traders can identify Gold Flora entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 1.0E-4 | |||
| Day Typical Price | 1.0E-4 |
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Gold Flora financial ratios help investors to determine whether Gold 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 Gold with respect to the benefits of owning Gold Flora security.