Fat Brands Stock Technical Analysis
| FAT Stock | USD 0.39 0.00 0.000003% |
As of the 26th of January, FAT Brands shows the Standard Deviation of 8.23, mean deviation of 5.39, and Market Risk Adjusted Performance of (1.79). 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 FATFAT 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 Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 10.0 | Strong Buy | 2 | Odds |
Most FAT analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand FAT stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of FAT Brands, talking to its executives and customers, or listening to FAT conference calls.
Is Hotels, Restaurants & Leisure space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of FAT Brands. If investors know FAT will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about FAT Brands listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 112.056 | Dividend Share 0.14 | Earnings Share (13.36) | Revenue Per Share | Quarterly Revenue Growth (0.02) |
The market value of FAT Brands is measured differently than its book value, which is the value of FAT that is recorded on the company's balance sheet. Investors also form their own opinion of FAT Brands' value that differs from its market value or its book value, called intrinsic value, which is FAT Brands' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because FAT Brands' market value can be influenced by many factors that don't directly affect FAT Brands' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between FAT Brands' value and its price as these two are different measures arrived at by different means. Investors typically determine if FAT Brands is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, FAT Brands' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
FAT Brands 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to FAT Brands' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of FAT Brands.
| 10/28/2025 |
| 01/26/2026 |
If you would invest 0.00 in FAT Brands on October 28, 2025 and sell it all today you would earn a total of 0.00 from holding FAT Brands or generate 0.0% return on investment in FAT Brands over 90 days. FAT Brands is related to or competes with Noodles, Rave Restaurant, Ree Automotive, Leslies, Ark Restaurants, Natuzzi SpA, and MKDWELL Tech. FAT Brands Inc., a multi-brand franchising company, acquires, develops, and manages quick service, fast casual, casual d... More
FAT Brands Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure FAT Brands' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess FAT Brands upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.26) | |||
| Maximum Drawdown | 44.83 | |||
| Value At Risk | (14.52) | |||
| Potential Upside | 11.11 |
FAT Brands Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FAT Brands' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FAT Brands' standard deviation. In reality, there are many statistical measures that can use FAT Brands historical prices to predict the future FAT Brands' volatility.| Risk Adjusted Performance | (0.17) | |||
| Jensen Alpha | (2.13) | |||
| Total Risk Alpha | (2.82) | |||
| Treynor Ratio | (1.80) |
FAT Brands January 26, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.17) | |||
| Market Risk Adjusted Performance | (1.79) | |||
| Mean Deviation | 5.39 | |||
| Coefficient Of Variation | (402.53) | |||
| Standard Deviation | 8.23 | |||
| Variance | 67.78 | |||
| Information Ratio | (0.26) | |||
| Jensen Alpha | (2.13) | |||
| Total Risk Alpha | (2.82) | |||
| Treynor Ratio | (1.80) | |||
| Maximum Drawdown | 44.83 | |||
| Value At Risk | (14.52) | |||
| Potential Upside | 11.11 | |||
| Skewness | (1.67) | |||
| Kurtosis | 7.09 |
FAT Brands Backtested Returns
FAT Brands secures Sharpe Ratio (or Efficiency) of -0.25, which denotes the company had a -0.25 % return per unit of volatility over the last 3 months. FAT Brands exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm FAT Brands' Standard Deviation of 8.23, market risk adjusted performance of (1.79), and Mean Deviation of 5.39 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.14, which means a somewhat significant risk relative to the market. FAT Brands returns are very sensitive to returns on the market. As the market goes up or down, FAT Brands is expected to follow. At this point, FAT Brands has a negative expected return of -2.1%. Please make sure to confirm FAT Brands' total risk alpha, kurtosis, as well as the relationship between the Kurtosis and market facilitation index , to decide if FAT Brands performance from the past will be repeated in the future.
Auto-correlation | 0.20 |
Weak predictability
FAT Brands has weak predictability. Overlapping area represents the amount of predictability between FAT Brands time series from 28th of October 2025 to 12th of December 2025 and 12th of December 2025 to 26th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of FAT Brands price movement. The serial correlation of 0.2 indicates that over 20.0% of current FAT Brands price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.2 | |
| Spearman Rank Test | 0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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.
FAT Brands Technical Analysis
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 FAT Brands volatility. High ATR values indicate high volatility, and low values indicate low volatility.
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 | 2025 (projected) | Dividend Yield | 0.37 | 0.29 | 0.26 | Price To Sales Ratio | 0.11 | 0.12 | 0.13 |
FAT Brands January 26, 2026 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.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.17) | |||
| Market Risk Adjusted Performance | (1.79) | |||
| Mean Deviation | 5.39 | |||
| Coefficient Of Variation | (402.53) | |||
| Standard Deviation | 8.23 | |||
| Variance | 67.78 | |||
| Information Ratio | (0.26) | |||
| Jensen Alpha | (2.13) | |||
| Total Risk Alpha | (2.82) | |||
| Treynor Ratio | (1.80) | |||
| Maximum Drawdown | 44.83 | |||
| Value At Risk | (14.52) | |||
| Potential Upside | 11.11 | |||
| Skewness | (1.67) | |||
| Kurtosis | 7.09 |
FAT Brands January 26, 2026 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.
| Accumulation Distribution | 0.05 | ||
| Daily Balance Of Power | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 0.40 | ||
| Day Typical Price | 0.40 | ||
| Price Action Indicator | (0.01) | ||
| Market Facilitation Index | 0.02 |
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.