Fast Retailing Co Stock Technical Analysis
| FRCOY Stock | USD 38.10 0.21 0.55% |
As of the 1st of February, Fast Retailing shows the Mean Deviation of 1.43, coefficient of variation of 2906.82, 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 '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 pink sheet 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.
| 11/03/2025 |
| 02/01/2026 |
If you would invest 0.00 in Fast Retailing on November 3, 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 BYD Co, Compagnie Financière, Compagnie Financiere, Industria, Christian Dior, Christian Dior, and BYD Company. Fast Retailing Co., Ltd., through its subsidiaries, operates as an apparel designer and retailer in Japan and internatio... 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 pink sheet 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.
| Downside Deviation | 1.88 | |||
| Information Ratio | 0.0123 | |||
| Maximum Drawdown | 11.07 | |||
| Value At Risk | (2.37) | |||
| Potential Upside | 2.61 |
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 | 0.0313 | |||
| Jensen Alpha | 0.0736 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | 0.0133 | |||
| Treynor Ratio | (0.15) |
Fast Retailing February 1, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0313 | |||
| Market Risk Adjusted Performance | (0.14) | |||
| Mean Deviation | 1.43 | |||
| Semi Deviation | 1.8 | |||
| Downside Deviation | 1.88 | |||
| Coefficient Of Variation | 2906.82 | |||
| Standard Deviation | 2.04 | |||
| Variance | 4.14 | |||
| Information Ratio | 0.0123 | |||
| Jensen Alpha | 0.0736 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | 0.0133 | |||
| Treynor Ratio | (0.15) | |||
| Maximum Drawdown | 11.07 | |||
| Value At Risk | (2.37) | |||
| Potential Upside | 2.61 | |||
| Downside Variance | 3.54 | |||
| Semi Variance | 3.24 | |||
| Expected Short fall | (1.50) | |||
| Skewness | 0.9845 | |||
| Kurtosis | 5.07 |
Fast Retailing Backtested Returns
At this stage we consider Fast Pink Sheet to be very steady. Fast Retailing secures Sharpe Ratio (or Efficiency) of 0.0344, which denotes the company had a 0.0344 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Fast Retailing Co, which you can use to evaluate the volatility of the firm. Please confirm Fast Retailing's Mean Deviation of 1.43, downside deviation of 1.88, and Coefficient Of Variation of 2906.82 to check if the risk estimate we provide is consistent with the expected return of 0.07%. Fast Retailing has a performance score of 2 on a scale of 0 to 100. The firm shows a Beta (market volatility) of -0.39, which means possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Fast Retailing are expected to decrease at a much lower rate. During the bear market, Fast Retailing is likely to outperform the market. Fast Retailing right now shows a risk of 2.04%. Please confirm Fast Retailing potential upside, as well as the relationship between the accumulation distribution and price action indicator , to decide if Fast Retailing will be following its price patterns.
Auto-correlation | -0.23 |
Weak reverse predictability
Fast Retailing Co has weak reverse predictability. Overlapping area represents the amount of predictability between Fast Retailing time series from 3rd of November 2025 to 18th of December 2025 and 18th of December 2025 to 1st 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 -0.23 indicates that over 23.0% of current Fast Retailing price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.23 | |
| Spearman Rank Test | -0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 2.68 |
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
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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.
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 1, 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 | 0.0313 | |||
| Market Risk Adjusted Performance | (0.14) | |||
| Mean Deviation | 1.43 | |||
| Semi Deviation | 1.8 | |||
| Downside Deviation | 1.88 | |||
| Coefficient Of Variation | 2906.82 | |||
| Standard Deviation | 2.04 | |||
| Variance | 4.14 | |||
| Information Ratio | 0.0123 | |||
| Jensen Alpha | 0.0736 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | 0.0133 | |||
| Treynor Ratio | (0.15) | |||
| Maximum Drawdown | 11.07 | |||
| Value At Risk | (2.37) | |||
| Potential Upside | 2.61 | |||
| Downside Variance | 3.54 | |||
| Semi Variance | 3.24 | |||
| Expected Short fall | (1.50) | |||
| Skewness | 0.9845 | |||
| Kurtosis | 5.07 |
Fast Retailing February 1, 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 | 0.02 | ||
| Daily Balance Of Power | 0.26 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 38.35 | ||
| Day Typical Price | 38.27 | ||
| Price Action Indicator | (0.14) | ||
| Market Facilitation Index | 0.80 |
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.