Fast Retailing (Germany) Technical Analysis

FR7 Stock  EUR 335.50  4.50  1.32%   
As of the 12th of December 2024, Fast Retailing shows the Coefficient Of Variation of 666.22, downside deviation of 1.73, and Mean Deviation of 1.55. Fast Retailing 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 Fast Retailing information ratio, treynor ratio, value at risk, as well as the relationship between the jensen alpha and maximum drawdown to decide if Fast Retailing is priced favorably, providing market reflects its regular price of 335.5 per share.

Fast Retailing Momentum Analysis

Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Fast, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Fast
  
Fast Retailing's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.
Fast Retailing 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.
A focus of Fast Retailing technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Fast Retailing trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

Fast Retailing Technical Analysis

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The output start index for this execution was fourty-two with a total number of output elements of nineteen. 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 Fast Retailing volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Fast Retailing Trend Analysis

Use this graph to draw trend lines for Fast Retailing Co. You can use it to identify possible trend reversals for Fast Retailing 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 Fast Retailing price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

Fast Retailing Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Fast Retailing Co applied against its price change over selected period. The best fit line has a slop of   0.36  , which means Fast Retailing Co will continue generating value for investors. It has 122 observation points and a regression sum of squares at 4816.59, which is the sum of squared deviations for the predicted Fast Retailing price change compared to its average price change.

About Fast Retailing 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 Fast Retailing Co 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 Fast Retailing Co based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Fast Retailing price pattern first instead of the macroeconomic environment surrounding Fast Retailing. By analyzing Fast Retailing'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 Fast Retailing'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 Fast Retailing specific price patterns or momentum indicators. Please read more on our technical analysis page.

Fast Retailing December 12, 2024 Technical Indicators

Most technical analysis of Fast 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 Fast from various momentum indicators to cycle indicators. When you analyze Fast 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.

Fast Retailing December 12, 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 Fast 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.

Complementary Tools for Fast Stock analysis

When running Fast Retailing's price analysis, check to measure Fast Retailing's 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 Fast Retailing is operating at the current time. Most of Fast Retailing's value examination focuses on studying past and present price action to predict the probability of Fast Retailing's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fast Retailing's price. Additionally, you may evaluate how the addition of Fast Retailing to your portfolios can decrease your overall portfolio volatility.
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