Flowers Foods Stock Forecast - Naive Prediction
| FLO Stock | USD 10.32 0.47 4.36% |
The Naive Prediction forecasted value of Flowers Foods on the next trading day is expected to be 10.07 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.33. Flowers Stock Forecast is based on your current time horizon. Although Flowers Foods' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Flowers Foods' systematic risk associated with finding meaningful patterns of Flowers Foods fundamentals over time.
As of today the relative strength index (rsi) of Flowers Foods' share price is below 20 . This usually indicates that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Quarterly Earnings Growth 0.2 | EPS Estimate Next Quarter 0.1788 | EPS Estimate Current Year 1.0345 | EPS Estimate Next Year 0.989 | Wall Street Target Price 12.7143 |
Using Flowers Foods hype-based prediction, you can estimate the value of Flowers Foods from the perspective of Flowers Foods response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Flowers Foods using Flowers Foods' stock options and short interest. It helps to benchmark the overall future attitude of investors towards Flowers using crowd psychology based on the activity and movement of Flowers Foods' stock price.
Flowers Foods Short Interest
An investor who is long Flowers Foods may also wish to track short interest. As short interest increases, investors should be becoming more worried about Flowers Foods and may potentially protect profits, hedge Flowers Foods with its derivative instruments, or be ready for some potential downside.
200 Day MA 14.7536 | Short Percent 0.1169 | Short Ratio 4.23 | Shares Short Prior Month 17.8 M | 50 Day MA 11.2024 |
Flowers Foods Hype to Price Pattern
Investor biases related to Flowers Foods' public news can be used to forecast risks associated with an investment in Flowers. The trend in average sentiment can be used to explain how an investor holding Flowers can time the market purely based on public headlines and social activities around Flowers Foods. 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 Flowers Foods' market sentiment to its price can help taders to make decisions based on the overall investors consensus about Flowers Foods.
Flowers Foods Implied Volatility | 0.78 |
Flowers Foods' implied volatility exposes the market's sentiment of Flowers Foods stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Flowers Foods' implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Flowers Foods stock will not fluctuate a lot when Flowers Foods' options are near their expiration.
The Naive Prediction forecasted value of Flowers Foods on the next trading day is expected to be 10.07 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.33. Flowers Foods after-hype prediction price | USD 10.27 |
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 Flowers Foods to cross-verify your projections. Open Interest Against 2026-04-17 Flowers Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Flowers Foods' spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Flowers Foods' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Flowers Foods stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Flowers Foods' open interest, investors have to compare it to Flowers Foods' spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Flowers Foods is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Flowers. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Flowers Foods Additional Predictive Modules
Most predictive techniques to examine Flowers price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Flowers using various technical indicators. When you analyze Flowers 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 |
Flowers Foods Cash Forecast
Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the Flowers Foods' financial statements to estimate their effects on upcoming price movements.
Cash | First Reported 2000-12-31 | Previous Quarter 11 M | Current Value 16.7 M | Quarterly Volatility 81 M |
Flowers Foods Naive Prediction Price Forecast For the 7th of January
Given 90 days horizon, the Naive Prediction forecasted value of Flowers Foods on the next trading day is expected to be 10.07 with a mean absolute deviation of 0.14, mean absolute percentage error of 0.03, and the sum of the absolute errors of 8.33.Please note that although there have been many attempts to predict Flowers Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Flowers Foods' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Flowers Foods Stock Forecast Pattern
| Backtest Flowers Foods | Flowers Foods Price Prediction | Buy or Sell Advice |
Flowers Foods Forecasted Value
In the context of forecasting Flowers Foods' Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Flowers Foods' downside and upside margins for the forecasting period are 8.22 and 11.91, respectively. We have considered Flowers Foods' daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
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 Flowers Foods stock data series using in forecasting. Note that when a statistical model is used to represent Flowers Foods 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.| AIC | Akaike Information Criteria | 114.6478 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1366 |
| MAPE | Mean absolute percentage error | 0.0123 |
| SAE | Sum of the absolute errors | 8.3347 |
Predictive Modules for Flowers Foods
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Flowers Foods. 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.Other Forecasting Options for Flowers Foods
For every potential investor in Flowers, whether a beginner or expert, Flowers Foods' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Flowers Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Flowers. Basic forecasting techniques help filter out the noise by identifying Flowers Foods' price trends.Flowers Foods 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 Flowers Foods stock to make a market-neutral strategy. Peer analysis of Flowers Foods could also be used in its relative valuation, which is a method of valuing Flowers Foods by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Flowers Foods Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Flowers Foods' 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 Flowers Foods' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Flowers Foods Market Strength Events
Market strength indicators help investors to evaluate how Flowers Foods stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Flowers Foods shares will generate the highest return on investment. By undertsting and applying Flowers Foods stock market strength indicators, traders can identify Flowers Foods entry and exit signals to maximize returns.
Flowers Foods Risk Indicators
The analysis of Flowers Foods' 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 Flowers Foods' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting flowers 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 | 1.31 | |||
| Standard Deviation | 1.73 | |||
| Variance | 2.98 |
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 Flowers Foods
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 Flowers Foods 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 Flowers Foods will appreciate offsetting losses from the drop in the long position's value.Moving together with Flowers Stock
Moving against Flowers Stock
| 0.88 | PPERY | Bank Mandiri Persero | PairCorr |
| 0.7 | TSN | Tyson Foods | PairCorr |
| 0.68 | TLKMF | Telkom Indonesia Tbk | PairCorr |
| 0.58 | PPERF | Bank Mandiri Persero | PairCorr |
| 0.44 | PBCRY | Bank Central Asia | PairCorr |
The ability to find closely correlated positions to Flowers Foods could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Flowers Foods 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 Flowers Foods - 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 Flowers Foods to buy it.
The correlation of Flowers Foods 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 Flowers Foods moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Flowers Foods 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 Flowers Foods 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.Check out Historical Fundamental Analysis of Flowers Foods to cross-verify your projections. To learn how to invest in Flowers Stock, please use our How to Invest in Flowers Foods guide.You can also try the Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
Is Packaged Foods & Meats space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Flowers Foods. If investors know Flowers will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Flowers Foods listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.2 | Dividend Share 0.975 | Earnings Share 0.91 | Revenue Per Share | Quarterly Revenue Growth 0.088 |
The market value of Flowers Foods is measured differently than its book value, which is the value of Flowers that is recorded on the company's balance sheet. Investors also form their own opinion of Flowers Foods' value that differs from its market value or its book value, called intrinsic value, which is Flowers Foods' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Flowers Foods' market value can be influenced by many factors that don't directly affect Flowers Foods' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Flowers Foods' value and its price as these two are different measures arrived at by different means. Investors typically determine if Flowers Foods is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Flowers Foods' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.