Fast Retailing (Germany) Technical Analysis
| FR7 Stock | EUR 306.30 0.00 0.00% |
As of the 13th of February 2026, Fast Retailing shows the Mean Deviation of 0.7835, variance of 1.84, and Standard Deviation of 1.36. 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 mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if Fast Retailing is priced favorably, providing market reflects its regular price of 306.3 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 FastFast |
Fast Retailing 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Fast Retailing's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Fast Retailing.
| 11/15/2025 |
| 02/13/2026 |
If you would invest 0.00 in Fast Retailing on November 15, 2025 and sell it all today you would earn a total of 0.00 from holding Fast Retailing Co or generate 0.0% return on investment in Fast Retailing over 90 days. Fast Retailing is related to or competes with Abbott Laboratories, Advanced Micro, Philip Morris, Amgen, Hong Kong, AP Mller, and FREEPORT MCMORAN. Fast Retailing is entity of Germany. It is traded as Stock on BE exchange. More
Fast Retailing Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Fast Retailing's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Fast Retailing Co upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 7.3 | |||
| Value At Risk | (2.19) | |||
| Potential Upside | 2.41 |
Fast Retailing Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fast Retailing's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fast Retailing's standard deviation. In reality, there are many statistical measures that can use Fast Retailing historical prices to predict the future Fast Retailing's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.17) | |||
| Treynor Ratio | (0.79) |
Fast Retailing February 13, 2026 Technical Indicators
| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.02) | |||
| Market Risk Adjusted Performance | (0.78) | |||
| Mean Deviation | 0.7835 | |||
| Coefficient Of Variation | (3,275) | |||
| Standard Deviation | 1.36 | |||
| Variance | 1.84 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.17) | |||
| Treynor Ratio | (0.79) | |||
| Maximum Drawdown | 7.3 | |||
| Value At Risk | (2.19) | |||
| Potential Upside | 2.41 | |||
| Skewness | (0.48) | |||
| Kurtosis | 3.44 |
Fast Retailing Backtested Returns
At this point, Fast Retailing is very steady. Fast Retailing secures Sharpe Ratio (or Efficiency) of 0.0655, which denotes the company had a 0.0655 % return per unit of risk over the last 3 months. We have found eighteen technical indicators for Fast Retailing Co, which you can use to evaluate the volatility of the firm. Please confirm Fast Retailing's Standard Deviation of 1.36, mean deviation of 0.7835, and Variance of 1.84 to check if the risk estimate we provide is consistent with the expected return of 0.0768%. Fast Retailing has a performance score of 5 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.0648, which means not very significant fluctuations relative to the market. As returns on the market increase, Fast Retailing's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fast Retailing is expected to be smaller as well. Fast Retailing right now shows a risk of 1.17%. Please confirm Fast Retailing potential upside, kurtosis, and the relationship between the value at risk and skewness , to decide if Fast Retailing will be following its price patterns.
Auto-correlation | 0.00 |
No correlation between past and present
Fast Retailing Co has no correlation between past and present. Overlapping area represents the amount of predictability between Fast Retailing time series from 15th of November 2025 to 30th of December 2025 and 30th of December 2025 to 13th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Fast Retailing price movement. The serial correlation of 0.0 indicates that just 0.0% of current Fast Retailing price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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.
Fast Retailing Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Fast Retailing across different markets.
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 February 13, 2026 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 | (0.02) | |||
| Market Risk Adjusted Performance | (0.78) | |||
| Mean Deviation | 0.7835 | |||
| Coefficient Of Variation | (3,275) | |||
| Standard Deviation | 1.36 | |||
| Variance | 1.84 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.17) | |||
| Treynor Ratio | (0.79) | |||
| Maximum Drawdown | 7.3 | |||
| Value At Risk | (2.19) | |||
| Potential Upside | 2.41 | |||
| Skewness | (0.48) | |||
| Kurtosis | 3.44 |
Fast Retailing February 13, 2026 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.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 306.30 | ||
| Day Typical Price | 306.30 | ||
| Price Action Indicator | 0.00 |
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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