FAT Brands Preferred Stock Forecast - Price Action Indicator
| FATBP Preferred Stock | USD 9.25 0.02 0.22% |
FAT Preferred Stock Forecast is based on your current time horizon.
FAT |
| Previous Price Action Indicator | Price Action Indicator | Trend |
| 0.015 | 0.025 |
| Check FAT Brands Volatility | Backtest FAT Brands | Information Ratio |
FAT Brands Trading Date Momentum
| On November 22 2024 FAT Brands was traded for 9.25 at the closing time. The highest daily price throughout the period was 9.31 and the lowest price was 9.16 . There was no trading activity during the period 0.0. Lack of trading volume on 11/22/2024 did not affect price variability. The overall trading delta to current closing 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 Preferred 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 preferred 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 Technical and Predictive Analytics
The preferred stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of FAT Brands' price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of FAT Brands' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
FAT Brands Market Strength Events
Market strength indicators help investors to evaluate how FAT Brands preferred 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 preferred stock market strength indicators, traders can identify FAT Brands entry and exit signals to maximize returns.
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 preferred 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 | 0.8656 | |||
| Standard Deviation | 1.31 | |||
| Variance | 1.72 |
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.
Pair Trading with FAT Brands
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if FAT Brands position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in FAT Brands will appreciate offsetting losses from the drop in the long position's value.Moving against FAT Preferred Stock
| 0.63 | MHGU | Meritage Hospitality | PairCorr |
| 0.6 | RRGB | Red Robin Gourmet | PairCorr |
| 0.52 | SW | Smurfit WestRock plc | PairCorr |
| 0.48 | IP | International Paper | PairCorr |
| 0.47 | DIIBF | Dorel Industries | PairCorr |
The ability to find closely correlated positions to FAT Brands could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace FAT Brands when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back FAT Brands - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling FAT Brands to buy it.
The correlation of FAT Brands is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as FAT Brands moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if FAT Brands moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for FAT Brands can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for FAT Preferred 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.