FAT Brands Stock Forecast - Price Action Indicator
| FAT Stock | USD 0.39 0.00 0.000003% |
FAT Stock outlook is based on your current time horizon.
The relative strength indicator of FAT Brands' share price is below 30 at this time. This usually indicates that the stock is becoming oversold or undervalued. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling FAT Brands, making its price go up or down. Momentum 28
Sell Stretched
Oversold | Overbought |
Quarterly Earnings Growth 112.056 | EPS Estimate Next Quarter (1.47) | EPS Estimate Current Year (12.67) | EPS Estimate Next Year (10.61) | Wall Street Target Price 10 |
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.
FAT Relative Strength Index
FAT Brands Hype to Price Pattern
Investor biases related to FAT Brands' public news can be used to forecast risks associated with an investment in FAT. The trend in average sentiment can be used to explain how an investor holding FAT can time the market purely based on public headlines and social activities around FAT Brands. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of FAT Brands' market sentiment to its price can help taders to make decisions based on the overall investors consensus about FAT Brands.
FAT Brands after-hype prediction price | USD 0.37 |
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.
Check out Historical Fundamental Analysis of FAT Brands to cross-verify your projections. 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 | ||
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| Overlap Studies | ||
| Pattern Recognition | ||
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| Previous Price Action Indicator | Price Action Indicator | Trend |
| (0.01) | (0.01) |
| Check FAT Brands Volatility | Backtest FAT Brands | Information Ratio |
FAT Brands Trading Date Momentum
| On January 26 2026 FAT Brands was traded for 0.39 at the closing time. Highest FAT Brands's price during the trading hours was 0.41 and the lowest price during the day was 0.39 . There was no trading activity during the period 0.0. Lack of trading volume on the 26th of January did not affect price variability. The overall trading delta to current price is 0.00% . |
Price Action Indicator (or PAIN) was developed by Michael B. Geraty and published in 'Futures' magazine in August 1997.
| Compare FAT Brands to competition |
Other Forecasting Options for FAT Brands
For every potential investor in FAT, whether a beginner or expert, FAT Brands' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. FAT Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in FAT. Basic forecasting techniques help filter out the noise by identifying FAT Brands' price trends.FAT Brands Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with FAT Brands stock to make a market-neutral strategy. Peer analysis of FAT Brands could also be used in its relative valuation, which is a method of valuing FAT Brands by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
FAT Brands Market Strength Events
Market strength indicators help investors to evaluate how FAT Brands stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading FAT Brands shares will generate the highest return on investment. By undertsting and applying FAT Brands stock market strength indicators, traders can identify FAT Brands entry and exit signals to maximize returns.
| Accumulation Distribution | 0.0488 | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 0.4 | |||
| Day Typical Price | 0.4 | |||
| Market Facilitation Index | 0.02 | |||
| Price Action Indicator | (0.01) | |||
| Relative Strength Index | 28.62 |
FAT Brands Risk Indicators
The analysis of FAT Brands' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in FAT Brands' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fat stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 5.39 | |||
| Standard Deviation | 8.23 | |||
| Variance | 67.78 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
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 | 17 M | |
| Cash And Short Term Investments | 23.4 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.