FAT Brands Stock Forecast - Naive Prediction

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. A naive forecasting model for FAT Brands is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of FAT Brands value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

FAT Brands Naive Prediction Price Forecast For the 24th of January

Given 90 days horizon, the Naive Prediction forecasted value of FAT Brands on the next trading day is expected to be 0.46 with a mean absolute deviation of 0.07, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.04.

FAT Brands Stock Forecast Pattern

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FAT Brands Price Prediction

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FAT Brands Forecasted Value

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of FAT Brands stock data series using in forecasting. Note that when a statistical model is used to represent FAT Brands stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality. This model is not at all useful as a medium-long range forecasting tool of FAT Brands. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict FAT Brands. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for FAT Brands

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as FAT Brands. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.

Hype Prediction Low Estimated High 0.02 0.38 8.91 Details

Intrinsic Valuation Low Real High 0.02 0.36 8.89 Details

Bollinger Band Projection (param) Low Middle High 0.31 0.38 0.45 Details

2 Analysts Consensus Low Target High 9.10 10.00 11.10 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

FAT Brands Hype Timeline

On the 23rd of January FAT Brands is traded for 0.38. The entity has historical hype elasticity of 0.56, and average elasticity to hype of competition of 0.35. FAT is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at -2.23%. %. The volatility of related hype on FAT Brands is about 5506.41%, with the expected price after the next announcement by competition of 0.73. About 67.0% of the company shares are held by company insiders. The company recorded a loss per share of 13.36. FAT Brands last dividend was issued on the 15th of November 2024. The entity had 1794:1000 split on the 30th of January 2025. Considering the 90-day investment horizon the next forecasted press release will be in about 13 days. Check out Historical Fundamental Analysis of FAT Brands to cross-verify your projections. For more information on how to buy FAT Stock please use our How to Invest in FAT Brands guide.

FAT Brands Related Hype Analysis

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

Risk & Return

Correlation

FAT Brands Market Strength Events

FAT Brands Risk Indicators

Story Coverage note for FAT Brands

FAT Brands Short Properties

Additional Tools for FAT Stock Analysis