Flowers Foods (Germany) Technical Analysis
FWF Stock | EUR 20.20 0.20 0.98% |
As of the 14th of December 2024, Flowers Foods shows the Coefficient Of Variation of 12535.35, downside deviation of 1.38, and Mean Deviation of 0.9974. Flowers Foods technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices. Please confirm Flowers Foods maximum drawdown, semi variance, and the relationship between the jensen alpha and potential upside to decide if Flowers Foods is priced favorably, providing market reflects its regular price of 20.2 per share.
Flowers Foods Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Flowers, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FlowersFlowers |
Flowers Foods technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Flowers Foods Technical Analysis
The output start index for this execution was thirty with a total number of output elements of thirty-one. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Flowers Foods volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Flowers Foods Trend Analysis
Use this graph to draw trend lines for Flowers Foods. You can use it to identify possible trend reversals for Flowers Foods as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Flowers Foods price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Flowers Foods Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Flowers Foods applied against its price change over selected period. The best fit line has a slop of 0.01 , which means Flowers Foods will continue generating value for investors. It has 122 observation points and a regression sum of squares at 3.64, which is the sum of squared deviations for the predicted Flowers Foods price change compared to its average price change.About Flowers Foods Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Flowers Foods on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Flowers Foods based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Flowers Foods price pattern first instead of the macroeconomic environment surrounding Flowers Foods. By analyzing Flowers Foods's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Flowers Foods's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Flowers Foods specific price patterns or momentum indicators. Please read more on our technical analysis page.
Flowers Foods December 14, 2024 Technical Indicators
Most technical analysis of Flowers help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Flowers from various momentum indicators to cycle indicators. When you analyze Flowers charts, please remember that the event formation may indicate an entry point for a short seller, and look at different 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 |
Risk Adjusted Performance | 0.0101 | |||
Market Risk Adjusted Performance | 0.0101 | |||
Mean Deviation | 0.9974 | |||
Semi Deviation | 1.07 | |||
Downside Deviation | 1.38 | |||
Coefficient Of Variation | 12535.35 | |||
Standard Deviation | 1.27 | |||
Variance | 1.6 | |||
Information Ratio | (0.07) | |||
Jensen Alpha | (0.07) | |||
Total Risk Alpha | (0.16) | |||
Sortino Ratio | (0.07) | |||
Treynor Ratio | 1.0E-4 | |||
Maximum Drawdown | 6.67 | |||
Value At Risk | (1.93) | |||
Potential Upside | 1.95 | |||
Downside Variance | 1.9 | |||
Semi Variance | 1.15 | |||
Expected Short fall | (1.38) | |||
Skewness | 0.3089 | |||
Kurtosis | 0.1216 |
Flowers Foods December 14, 2024 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Flowers stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
Accumulation Distribution | 0.00 | ||
Daily Balance Of Power | (Huge) | ||
Rate Of Daily Change | 0.99 | ||
Day Median Price | 20.20 | ||
Day Typical Price | 20.20 | ||
Price Action Indicator | (0.10) |
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.
FinTech Suite Use AI to screen and filter profitable investment opportunities | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Global Correlations Find global opportunities by holding instruments from different markets | |
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings |