GN Store Pink Sheet Forecast - 4 Period Moving Average

GGNDF Stock  USD 18.05  0.00  0.00%   
The 4 Period Moving Average forecasted value of GN Store Nord on the next trading day is expected to be 18.05 with a mean absolute deviation of 0.31 and the sum of the absolute errors of 17.65. GGNDF Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of GN Store's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A four-period moving average forecast model for GN Store Nord is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

GN Store 4 Period Moving Average Price Forecast For the 5th of December

Given 90 days horizon, the 4 Period Moving Average forecasted value of GN Store Nord on the next trading day is expected to be 18.05 with a mean absolute deviation of 0.31, mean absolute percentage error of 0.83, and the sum of the absolute errors of 17.65.
Please note that although there have been many attempts to predict GGNDF 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 GN Store's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

GN Store Pink Sheet Forecast Pattern

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GN Store Forecasted Value

In the context of forecasting GN Store'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. GN Store's downside and upside margins for the forecasting period are 15.36 and 20.74, respectively. We have considered GN Store'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
18.05
18.05
Expected Value
20.74
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of GN Store pink sheet data series using in forecasting. Note that when a statistical model is used to represent GN Store 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 Criteria110.5685
BiasArithmetic mean of the errors 0.3096
MADMean absolute deviation0.3096
MAPEMean absolute percentage error0.0157
SAESum of the absolute errors17.65
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of GN Store. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for GN Store Nord and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for GN Store

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as GN Store Nord. 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 GN Store'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
15.3618.0520.74
Details
Intrinsic
Valuation
LowRealHigh
17.1219.8122.51
Details
Bollinger
Band Projection (param)
LowMiddleHigh
18.4918.4918.49
Details

Other Forecasting Options for GN Store

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

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

GN Store Nord 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 GN Store'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 GN Store's current price.

GN Store Market Strength Events

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

GN Store Risk Indicators

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

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Other Information on Investing in GGNDF Pink Sheet

GN Store financial ratios help investors to determine whether GGNDF 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 GGNDF with respect to the benefits of owning GN Store security.