Fast Retailing Co Stock Technical Analysis
| FRCOY Stock | USD 33.80 0.30 0.90% |
As of the 23rd of December, Fast Retailing shows the Coefficient Of Variation of 2658.26, mean deviation of 1.38, and Downside Deviation of 1.88. 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.
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 FastFast |
Fast Retailing technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Fast Retailing Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 0.0008 , which means Fast Retailing Co will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.02, 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 23, 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.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0354 | |||
| Market Risk Adjusted Performance | 0.0673 | |||
| Mean Deviation | 1.38 | |||
| Semi Deviation | 1.77 | |||
| Downside Deviation | 1.88 | |||
| Coefficient Of Variation | 2658.26 | |||
| Standard Deviation | 1.81 | |||
| Variance | 3.29 | |||
| Information Ratio | 0.0199 | |||
| Jensen Alpha | 0.0357 | |||
| Total Risk Alpha | 0.0074 | |||
| Sortino Ratio | 0.0192 | |||
| Treynor Ratio | 0.0573 | |||
| Maximum Drawdown | 9.37 | |||
| Value At Risk | (3.15) | |||
| Potential Upside | 3.0 | |||
| Downside Variance | 3.54 | |||
| Semi Variance | 3.15 | |||
| Expected Short fall | (1.40) | |||
| Skewness | (0.24) | |||
| Kurtosis | 0.3807 |
Additional Tools for Fast Pink Sheet 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.