Flowers Foods (Germany) Price Prediction
FWF Stock | EUR 21.40 0.24 1.13% |
Oversold Vs Overbought
47
Oversold | Overbought |
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.
The fear of missing out, i.e., FOMO, can cause potential investors in Flowers Foods to buy its stock at a price that has no basis in reality. In that case, they are not buying Flowers because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Flowers Foods after-hype prediction price | EUR 21.4 |
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.
Flowers |
Flowers Foods After-Hype Price Prediction Density Analysis
As far as predicting the price of Flowers Foods at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Flowers Foods or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Flowers Foods, with the unreliable approximations that try to describe financial returns.
Next price density |
Expected price to next headline |
Flowers Foods Estimiated After-Hype Price Volatility
In the context of predicting Flowers Foods' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Flowers Foods' historical news coverage. Flowers Foods' after-hype downside and upside margins for the prediction period are 20.13 and 22.67, respectively. We have considered Flowers Foods' daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Flowers Foods is very steady at this time. Analysis and calculation of next after-hype price of Flowers Foods is based on 3 months time horizon.
Flowers Foods Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Flowers Foods is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Flowers Foods backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Flowers Foods, there might be something going there, and it might present an excellent short sale opportunity.
Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.07 | 1.27 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In a few days |
Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
21.40 | 21.40 | 0.00 |
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Flowers Foods Hype Timeline
Flowers Foods is currently traded for 21.40on Frankfurt Exchange of Germany. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Flowers is estimated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is estimated to be very small, whereas the daily expected return is currently at 0.07%. %. The volatility of related hype on Flowers Foods is about 0.0%, with the expected price after the next announcement by competition of 21.40. About 83.0% of the company shares are owned by institutional investors. The book value of Flowers Foods was currently reported as 6.84. The company last dividend was issued on the 2nd of March 2023. Assuming the 90 days horizon the next estimated press release will be in a few days. Check out Flowers Foods Basic Forecasting Models to cross-verify your projections. For more detail on how to invest in Flowers Stock please use our How to Invest in Flowers Foods guide.Flowers Foods Related Hype Analysis
Having access to credible news sources related to Flowers Foods' direct competition is more important than ever and may enhance your ability to predict Flowers Foods' future price movements. Getting to know how Flowers Foods' peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Flowers Foods may potentially react to the hype associated with one of its peers.
HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
8HH | Avanos Medical | 0.00 | 0 per month | 0.00 | (0.12) | 2.88 | (2.88) | 20.85 | |
2XT | DXC Technology Co | 0.00 | 0 per month | 1.82 | 0.03 | 3.49 | (3.87) | 12.35 | |
PYA | Wayside Technology Group | 0.00 | 0 per month | 1.70 | 0.17 | 6.86 | (3.09) | 17.12 | |
RZH | SCOTT TECHNOLOGY | 0.00 | 0 per month | 2.68 | 0.03 | 6.36 | (4.10) | 21.53 | |
COP | CompuGroup Medical SE | 0.00 | 0 per month | 1.95 | (0.04) | 3.55 | (3.34) | 10.86 | |
51KB | AVITA Medical | 0.00 | 0 per month | 3.06 | 0.16 | 5.66 | (5.59) | 18.85 | |
AFW | Align Technology | 0.00 | 0 per month | 1.71 | (0.04) | 3.35 | (2.65) | 12.53 | |
TQ4 | FANDIFI TECHNOLOGY P | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
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 |
About Flowers Foods Predictive Indicators
The successful prediction of Flowers Foods 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 Flowers Foods, 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 Flowers Foods based on analysis of Flowers Foods hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Flowers Foods's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Flowers Foods's related companies.
Story Coverage note for Flowers Foods
The number of cover stories for Flowers Foods depends on current market conditions and Flowers Foods' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Flowers Foods 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 Flowers Foods' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Flowers Foods Short Properties
Flowers Foods' future price predictability will typically decrease when Flowers Foods' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Flowers Foods often depends not only on the future outlook of the potential Flowers Foods' 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. Flowers Foods' indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding | 211.1 M |
Complementary Tools for Flowers Stock analysis
When running Flowers Foods' price analysis, check to measure Flowers Foods' 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 Flowers Foods is operating at the current time. Most of Flowers Foods' value examination focuses on studying past and present price action to predict the probability of Flowers Foods' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Flowers Foods' price. Additionally, you may evaluate how the addition of Flowers Foods to your portfolios can decrease your overall portfolio volatility.
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