Guardforce Ai Co Stock Volatility Indicators Average True Range

GFAIW Stock  USD 0.1  0.03  20.83%   
Guardforce volatility indicators tool provides the execution environment for running the Average True Range indicator and other technical functions against Guardforce. Guardforce 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. Guardforce 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.

Indicator
Time Period
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The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Guardforce AI volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Guardforce Technical Analysis Modules

Most technical analysis of Guardforce 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 Guardforce from various momentum indicators to cycle indicators. When you analyze Guardforce 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 Guardforce 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 Guardforce AI Co. We use our internally-developed statistical techniques to arrive at the intrinsic value of Guardforce AI Co based on widely used predictive technical indicators. In general, we focus on analyzing Guardforce Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Guardforce'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 Guardforce's intrinsic value. In addition to deriving basic predictive indicators for Guardforce, we also check how macroeconomic factors affect Guardforce price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2021 2022 2023 2024 (projected)
Payables Turnover47.9116.1316.4519.3
Days Of Inventory On Hand15.6656.065.325.05
Hype
Prediction
LowEstimatedHigh
0.010.1019.25
Details
Intrinsic
Valuation
LowRealHigh
0.000.0819.23
Details
Naive
Forecast
LowNextHigh
00.0519.20
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.080.140.20
Details

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Additional Tools for Guardforce Stock Analysis

When running Guardforce's price analysis, check to measure Guardforce'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 Guardforce is operating at the current time. Most of Guardforce's value examination focuses on studying past and present price action to predict the probability of Guardforce's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Guardforce's price. Additionally, you may evaluate how the addition of Guardforce to your portfolios can decrease your overall portfolio volatility.