Gn Store Nord Stock Statistic Functions Time Series Forecast

GGNDF Stock  USD 18.05  3.21  15.10%   
GN Store statistic functions tool provides the execution environment for running the Time Series Forecast function and other technical functions against GN Store. GN Store value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Time Series Forecast function function is designed to identify and follow existing trends. GN Store statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Execute Function
The output start index for this execution was two with a total number of output elements of fifty-nine. The Time Series Forecast uses simple linear regression to derive GN Store Nord best fit line over a given time period and plot it forward over user-defined time period.

GN Store Technical Analysis Modules

Most technical analysis of GN Store help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for GGNDF from various momentum indicators to cycle indicators. When you analyze GGNDF charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About GN Store Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of GN Store Nord. We use our internally-developed statistical techniques to arrive at the intrinsic value of GN Store Nord based on widely used predictive technical indicators. In general, we focus on analyzing GGNDF Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build GN Store's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of GN Store's intrinsic value. In addition to deriving basic predictive indicators for GN Store, we also check how macroeconomic factors affect GN Store price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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
15.4018.0520.70
Details
Intrinsic
Valuation
LowRealHigh
17.1719.8122.46
Details
Naive
Forecast
LowNextHigh
13.4916.1418.78
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
18.0518.0518.05
Details

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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.