Fat Brands Stock Price Prediction
| FAT Stock | USD 5.32 0.04 0.75% |
Oversold Vs Overbought
66
Oversold | Overbought |
Quarterly Earnings Growth 112.056 | EPS Estimate Next Quarter (1.38) | EPS Estimate Current Year (8.35) | EPS Estimate Next Year (6.66) | Wall Street Target Price 15 |
Using FAT Brands hype-based prediction, you can estimate the value of FAT Brands from the perspective of FAT Brands response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in FAT Brands to buy its stock at a price that has no basis in reality. In that case, they are not buying FAT because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
FAT Brands after-hype prediction price | USD 5.34 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
FAT |
FAT Brands After-Hype Price Prediction Density Analysis
As far as predicting the price of FAT Brands at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in FAT Brands or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of FAT Brands, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
FAT Brands Estimiated After-Hype Price Volatility
In the context of predicting FAT Brands' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on FAT Brands' historical news coverage. FAT Brands' after-hype downside and upside margins for the prediction period are 3.21 and 7.47, respectively. We have considered FAT Brands' daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
FAT Brands is not too volatile at this time. Analysis and calculation of next after-hype price of FAT Brands is based on 3 months time horizon.
FAT Brands Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as FAT Brands is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading FAT Brands backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with FAT Brands, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.11 | 2.13 | 0.02 | 0.01 | 11 Events / Month | 7 Events / Month | In about 11 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
5.32 | 5.34 | 0.38 |
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FAT Brands Hype Timeline
On the 26th of November FAT Brands is traded for 5.32. The entity has historical hype elasticity of 0.02, and average elasticity to hype of competition of -0.01. FAT is forecasted to increase in value after the next headline, with the price projected to jump to 5.34 or above. The average volatility of media hype impact on the company the price is over 100%. The price appreciation on the next news is projected to be 0.38%, whereas the daily expected return is currently at 0.11%. The volatility of related hype on FAT Brands is about 3166.22%, with the expected price after the next announcement by competition of 5.31. The company reported the last year's revenue of 480.46 M. Reported Net Loss for the year was (90.11 M) with profit before taxes, overhead, and interest of 140.99 M. Considering the 90-day investment horizon the next forecasted press release will be in about 11 days. Check out FAT Brands Basic Forecasting Models to cross-verify your projections.FAT Brands Related Hype Analysis
Having access to credible news sources related to FAT Brands' direct competition is more important than ever and may enhance your ability to predict FAT Brands' future price movements. Getting to know how FAT Brands' peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how FAT Brands may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| FATBP | FAT Brands | 0.00 | 0 per month | 0.00 | (0.18) | 2.27 | (2.07) | 6.52 | |
| FRGI | Fiesta Restaurant Group | (0.22) | 1 per month | 2.75 | (0.05) | 4.69 | (3.69) | 12.75 | |
| CNNE | Cannae Holdings | 0.08 | 10 per month | 1.38 | 0.01 | 3.13 | (2.81) | 6.85 | |
| NATH | Nathans Famous | (0.56) | 9 per month | 1.70 | 0.04 | 3.11 | (2.61) | 9.20 | |
| DIN | Dine Brands Global | 2.54 | 10 per month | 2.87 | (0) | 4.47 | (4.50) | 19.97 | |
| BLMN | Bloomin Brands | 0.21 | 7 per month | 0.00 | (0.19) | 3.57 | (4.86) | 17.72 | |
| BJRI | BJs Restaurants | (0.88) | 8 per month | 2.27 | 0.03 | 4.05 | (2.64) | 13.19 | |
| RUTH | Ruths Hospitality Group | (0.03) | 9 per month | 0.94 | 0.07 | 1.75 | (2.63) | 34.37 | |
| CAKE | The Cheesecake Factory | (0.56) | 8 per month | 1.63 | 0.08 | 5.11 | (3.10) | 13.08 | |
| EAT | Brinker International | (1.28) | 10 per month | 1.25 | 0.35 | 5.04 | (2.48) | 11.91 | |
| PZZA | Papa Johns International | (0.04) | 7 per month | 2.39 | 0.03 | 4.22 | (4.50) | 10.62 |
FAT Brands Additional Predictive Modules
Most predictive techniques to examine FAT price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for FAT using various technical 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About FAT Brands Predictive Indicators
The successful prediction of FAT Brands stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as FAT Brands, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of FAT Brands based on analysis of FAT Brands hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to FAT Brands's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to FAT Brands's related companies. | 2022 | 2023 (projected) | Dividend Yield | 0.16 | 0.15 | Price To Sales Ratio | 0.21 | 0.24 |
Story Coverage note for FAT Brands
The number of cover stories for FAT Brands depends on current market conditions and FAT Brands' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that FAT Brands is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about FAT Brands' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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FAT Brands Short Properties
FAT Brands' future price predictability will typically decrease when FAT Brands' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of FAT Brands often depends not only on the future outlook of the potential FAT Brands' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. FAT Brands' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 16.6 M | |
| Cash And Short Term Investments | 37 M |
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.