Fat Brands Stock Price Prediction

Intrinsic Valuation Low Real High 0.20 3.90 8.51 Details

Naive Forecast Low Next High 0.09 4.50 9.11 Details

Bollinger Band Projection (param) Lower Middle Band Upper 4.26 4.56 4.86 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.

FAT Brands After-Hype Price Prediction Density Analysis

FAT Brands Estimiated After-Hype Price Volatility

FAT Brands Stock Price Prediction Analysis

Expected Return	Period Volatility	Hype Elasticity	Related Elasticity	News Density	Related Density	Expected Hype
0.14	4.61	0.03	0.03	2 Events / Month	7 Events / Month	In a few days

Latest traded price	Expected after-news price	Potential return on next major news	Average after-hype volatility
4.40	4.43	0.68	2,426   Notes

FAT Brands Hype Timeline

FAT Brands is currently traded for 4.40. The entity has historical hype elasticity of 0.03, and average elasticity to hype of competition of 0.03. FAT is forecasted to increase in value after the next headline, with the price projected to jump to 4.43 or above. The average volatility of media hype impact on the company the price is over 100%. The price jump on the next news is projected to be 0.68%, whereas the daily expected return is currently at -0.14%. The volatility of related hype on FAT Brands is about 2561.11%, with the expected price after the next announcement by competition of 4.43. The company reported the revenue of 480.46 M. Net Loss for the year was (90.11 M) with profit before overhead, payroll, taxes, and interest of 140.99 M. Assuming the 90 days horizon the next forecasted press release will be in a few days. Check out FAT Brands Basic Forecasting Models to cross-verify your projections. For information on how to trade FAT Stock refer to our How to Trade FAT Stock guide.

FAT Brands Related Hype Analysis

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.

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.

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.

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.

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.