Fujikura (Germany) Technical Analysis
| FJK Stock | EUR 121.00 5.50 4.35% |
As of the 15th of February 2026, Fujikura shows the Mean Deviation of 3.52, downside deviation of 5.09, and Coefficient Of Variation of 1955.22. Fujikura 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 Fujikura variance, jensen alpha, and the relationship between the standard deviation and information ratio to decide if Fujikura is priced favorably, providing market reflects its regular price of 121.0 per share.
Fujikura Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Fujikura, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FujikuraFujikura |
Fujikura '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 Fujikura'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 Fujikura.
| 11/17/2025 |
| 02/15/2026 |
If you would invest 0.00 in Fujikura on November 17, 2025 and sell it all today you would earn a total of 0.00 from holding Fujikura or generate 0.0% return on investment in Fujikura over 90 days. Fujikura is related to or competes with China Construction, PT Bank, NVIDIA CORP, APPLE INC, and AMAZON INCCDR. Fujikura Ltd. researches, develops, manufactures, and sells wires and cables in Japan, the United States, China, and int... More
Fujikura 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 Fujikura'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 Fujikura upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.09 | |||
| Information Ratio | 0.036 | |||
| Maximum Drawdown | 17.14 | |||
| Value At Risk | (8.37) | |||
| Potential Upside | 8.19 |
Fujikura Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fujikura's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fujikura's standard deviation. In reality, there are many statistical measures that can use Fujikura historical prices to predict the future Fujikura's volatility.| Risk Adjusted Performance | 0.0495 | |||
| Jensen Alpha | 0.1666 | |||
| Total Risk Alpha | (0.12) | |||
| Sortino Ratio | 0.0328 | |||
| Treynor Ratio | 0.2256 |
Fujikura February 15, 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 | 0.0495 | |||
| Market Risk Adjusted Performance | 0.2356 | |||
| Mean Deviation | 3.52 | |||
| Semi Deviation | 4.49 | |||
| Downside Deviation | 5.09 | |||
| Coefficient Of Variation | 1955.22 | |||
| Standard Deviation | 4.63 | |||
| Variance | 21.44 | |||
| Information Ratio | 0.036 | |||
| Jensen Alpha | 0.1666 | |||
| Total Risk Alpha | (0.12) | |||
| Sortino Ratio | 0.0328 | |||
| Treynor Ratio | 0.2256 | |||
| Maximum Drawdown | 17.14 | |||
| Value At Risk | (8.37) | |||
| Potential Upside | 8.19 | |||
| Downside Variance | 25.89 | |||
| Semi Variance | 20.15 | |||
| Expected Short fall | (3.65) | |||
| Skewness | (0.14) | |||
| Kurtosis | 0.1177 |
Fujikura Backtested Returns
Fujikura appears to be very steady, given 3 months investment horizon. Fujikura secures Sharpe Ratio (or Efficiency) of 0.0657, which denotes the company had a 0.0657 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Fujikura, which you can use to evaluate the volatility of the firm. Please utilize Fujikura's Downside Deviation of 5.09, coefficient of variation of 1955.22, and Mean Deviation of 3.52 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Fujikura holds a performance score of 5. The firm shows a Beta (market volatility) of 1.01, which means a somewhat significant risk relative to the market. Fujikura returns are very sensitive to returns on the market. As the market goes up or down, Fujikura is expected to follow. Please check Fujikura's jensen alpha, sortino ratio, and the relationship between the standard deviation and total risk alpha , to make a quick decision on whether Fujikura's price patterns will revert.
Auto-correlation | -0.26 |
Weak reverse predictability
Fujikura has weak reverse predictability. Overlapping area represents the amount of predictability between Fujikura time series from 17th of November 2025 to 1st of January 2026 and 1st of January 2026 to 15th 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 Fujikura price movement. The serial correlation of -0.26 indicates that nearly 26.0% of current Fujikura price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.26 | |
| Spearman Rank Test | -0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 147.4 |
Fujikura 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.
Fujikura 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 Fujikura across different markets.
About Fujikura 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 Fujikura 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 Fujikura based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Fujikura price pattern first instead of the macroeconomic environment surrounding Fujikura. By analyzing Fujikura'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 Fujikura'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 Fujikura specific price patterns or momentum indicators. Please read more on our technical analysis page.
Fujikura February 15, 2026 Technical Indicators
Most technical analysis of Fujikura 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 Fujikura from various momentum indicators to cycle indicators. When you analyze Fujikura 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 | 0.0495 | |||
| Market Risk Adjusted Performance | 0.2356 | |||
| Mean Deviation | 3.52 | |||
| Semi Deviation | 4.49 | |||
| Downside Deviation | 5.09 | |||
| Coefficient Of Variation | 1955.22 | |||
| Standard Deviation | 4.63 | |||
| Variance | 21.44 | |||
| Information Ratio | 0.036 | |||
| Jensen Alpha | 0.1666 | |||
| Total Risk Alpha | (0.12) | |||
| Sortino Ratio | 0.0328 | |||
| Treynor Ratio | 0.2256 | |||
| Maximum Drawdown | 17.14 | |||
| Value At Risk | (8.37) | |||
| Potential Upside | 8.19 | |||
| Downside Variance | 25.89 | |||
| Semi Variance | 20.15 | |||
| Expected Short fall | (3.65) | |||
| Skewness | (0.14) | |||
| Kurtosis | 0.1177 |
Fujikura February 15, 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 Fujikura 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 | (1.83) | ||
| Rate Of Daily Change | 0.96 | ||
| Day Median Price | 120.50 | ||
| Day Typical Price | 120.67 | ||
| Price Action Indicator | (2.25) | ||
| Market Facilitation Index | 3.00 |
Complementary Tools for Fujikura Stock analysis
When running Fujikura's price analysis, check to measure Fujikura'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 Fujikura is operating at the current time. Most of Fujikura's value examination focuses on studying past and present price action to predict the probability of Fujikura's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fujikura's price. Additionally, you may evaluate how the addition of Fujikura to your portfolios can decrease your overall portfolio volatility.
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