Fat Brands Stock Technical Analysis

FATBB Stock  USD 4.53  0.09  1.95%   
As of the 4th of December, FAT Brands shows the Mean Deviation of 2.85, market risk adjusted performance of (4.24), and Downside Deviation of 5.15. FAT Brands technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices.

FAT Brands Momentum Analysis

Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as FAT, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FAT
  
FAT Brands' Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.
FAT Brands technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
A focus of FAT Brands technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of FAT Brands trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

FAT Brands Technical Analysis

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The output start index for this execution was fourteen with a total number of output elements of fourty-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 FAT Brands volatility. High ATR values indicate high volatility, and low values indicate low volatility.

FAT Brands Trend Analysis

Use this graph to draw trend lines for FAT Brands. You can use it to identify possible trend reversals for FAT Brands as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual FAT Brands price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

FAT Brands Best Fit Change Line

The following chart estimates an ordinary least squares regression model for FAT Brands applied against its price change over selected period. The best fit line has a slop of   0.001  , which may suggest that FAT Brands market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.04, which is the sum of squared deviations for the predicted FAT Brands price change compared to its average price change.

About FAT Brands Technical Analysis

The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of FAT Brands on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of FAT Brands based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on FAT Brands price pattern first instead of the macroeconomic environment surrounding FAT Brands. By analyzing FAT Brands's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of FAT Brands's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to FAT Brands specific price patterns or momentum indicators. Please read more on our technical analysis page.
 2022 2023 (projected)
Dividend Yield0.160.15
Price To Sales Ratio0.210.24

FAT Brands December 4, 2024 Technical Indicators

Most technical analysis of FAT 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 different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

FAT Brands December 4, 2024 Daily Trend Indicators

Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as FAT stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.

Complementary 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.
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