Fat Brands Stock Volatility Indicators Average True Range

FAT Stock  USD 5.33  0.04  0.74%   
FAT Brands volatility indicators tool provides the execution environment for running the Average True Range indicator and other technical functions against FAT Brands. FAT Brands 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. FAT Brands 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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The output start index for this execution was one with a total number of output elements of sixty. 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 FAT Brands volatility. High ATR values indicate high volatility, and low values indicate low volatility.

FAT Brands Technical Analysis Modules

Most technical analysis of FAT Brands 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 FAT from various momentum indicators to cycle indicators. When you analyze FAT 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 FAT Brands 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 FAT Brands. We use our internally-developed statistical techniques to arrive at the intrinsic value of FAT Brands based on widely used predictive technical indicators. In general, we focus on analyzing FAT Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build FAT Brands'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 FAT Brands's intrinsic value. In addition to deriving basic predictive indicators for FAT Brands, we also check how macroeconomic factors affect FAT Brands price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2022 2023 (projected)
Dividend Yield0.160.15
Price To Sales Ratio0.210.24
Hype
Prediction
LowEstimatedHigh
3.655.337.01
Details
Intrinsic
Valuation
LowRealHigh
4.809.0910.77
Details
2 Analysts
Consensus
LowTargetHigh
18.2020.0022.20
Details
Earnings
Estimates (0)
LowProjected EPSHigh
-2.09-2.09-2.09
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as FAT Brands. Your research has to be compared to or analyzed against FAT Brands' peers to derive any actionable benefits. When done correctly, FAT Brands' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in FAT Brands.

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Additional Tools for FAT Stock Analysis

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