GI Group (Poland) Volatility Indicators Average True Range

GIG Stock   1.46  0.02  1.39%   
GI Group volatility indicators tool provides the execution environment for running the Average True Range indicator and other technical functions against GI Group. GI Group 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 volatility indicators indicators. As with most other technical indicators, the Average True Range indicator function is designed to identify and follow existing trends. GI Group volatility indicators enable investors to predict price movements based on how different True Range indicators change over time. Please specify Time Period to run this model.

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Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of GI Group Poland volatility. High ATR values indicate high volatility, and low values indicate low volatility.

GI Group Technical Analysis Modules

Most technical analysis of GI Group 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 GIG from various momentum indicators to cycle indicators. When you analyze GIG 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 GI Group 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 GI Group Poland. We use our internally-developed statistical techniques to arrive at the intrinsic value of GI Group Poland based on widely used predictive technical indicators. In general, we focus on analyzing GIG Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build GI Group's daily price indicators and compare them against related drivers, such as volatility indicators 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 GI Group's intrinsic value. In addition to deriving basic predictive indicators for GI Group, we also check how macroeconomic factors affect GI Group 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 GI Group'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
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0.071.463.35
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Intrinsic
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0.061.273.16
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Additional Tools for GIG Stock Analysis

When running GI Group's price analysis, check to measure GI Group's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy GI Group is operating at the current time. Most of GI Group's value examination focuses on studying past and present price action to predict the probability of GI Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GI Group's price. Additionally, you may evaluate how the addition of GI Group to your portfolios can decrease your overall portfolio volatility.