Chiyoda (Germany) Technical Analysis
| CYA Stock | EUR 7.30 1.00 12.05% |
As of the 21st of February, Chiyoda shows the Downside Deviation of 4.26, mean deviation of 4.85, and Risk Adjusted Performance of 0.1831. Chiyoda technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Please confirm Chiyoda downside deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if Chiyoda is priced correctly, providing market reflects its regular price of 7.3 per share.
Chiyoda Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Chiyoda, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ChiyodaChiyoda |
Chiyoda '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 Chiyoda'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 Chiyoda.
| 11/23/2025 |
| 02/21/2026 |
If you would invest 0.00 in Chiyoda on November 23, 2025 and sell it all today you would earn a total of 0.00 from holding Chiyoda or generate 0.0% return on investment in Chiyoda over 90 days. Chiyoda is related to or competes with Semtech, BioNTech, Ribbon Communications, Upland Software, WillScot Mobile, and Tsingtao Brewery. Chiyoda Corporation operates as an integrated engineering company in Japan, Australia, the United States, Russia, and in... More
Chiyoda 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 Chiyoda'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 Chiyoda upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.26 | |||
| Information Ratio | 0.2163 | |||
| Maximum Drawdown | 33.78 | |||
| Value At Risk | (6.47) | |||
| Potential Upside | 14.35 |
Chiyoda Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Chiyoda's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Chiyoda's standard deviation. In reality, there are many statistical measures that can use Chiyoda historical prices to predict the future Chiyoda's volatility.| Risk Adjusted Performance | 0.1831 | |||
| Jensen Alpha | 1.48 | |||
| Total Risk Alpha | 0.8799 | |||
| Sortino Ratio | 0.3323 | |||
| Treynor Ratio | 166.81 |
Chiyoda February 21, 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 | 0.1831 | |||
| Market Risk Adjusted Performance | 166.82 | |||
| Mean Deviation | 4.85 | |||
| Semi Deviation | 3.65 | |||
| Downside Deviation | 4.26 | |||
| Coefficient Of Variation | 437.45 | |||
| Standard Deviation | 6.54 | |||
| Variance | 42.75 | |||
| Information Ratio | 0.2163 | |||
| Jensen Alpha | 1.48 | |||
| Total Risk Alpha | 0.8799 | |||
| Sortino Ratio | 0.3323 | |||
| Treynor Ratio | 166.81 | |||
| Maximum Drawdown | 33.78 | |||
| Value At Risk | (6.47) | |||
| Potential Upside | 14.35 | |||
| Downside Variance | 18.11 | |||
| Semi Variance | 13.3 | |||
| Expected Short fall | (6.56) | |||
| Skewness | 1.26 | |||
| Kurtosis | 2.75 |
Chiyoda Backtested Returns
Chiyoda is unstable given 3 months investment horizon. Chiyoda secures Sharpe Ratio (or Efficiency) of 0.2, which signifies that the company had a 0.2 % return per unit of risk over the last 3 months. We were able to interpolate twenty-seven different technical indicators, which can help you to evaluate if expected returns of 1.32% are justified by taking the suggested risk. Use Chiyoda Mean Deviation of 4.85, downside deviation of 4.26, and Risk Adjusted Performance of 0.1831 to evaluate company specific risk that cannot be diversified away. Chiyoda holds a performance score of 15 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 0.0089, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Chiyoda's returns are expected to increase less than the market. However, during the bear market, the loss of holding Chiyoda is expected to be smaller as well. Use Chiyoda downside deviation, information ratio, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to analyze future returns on Chiyoda.
Auto-correlation | 0.67 |
Good predictability
Chiyoda has good predictability. Overlapping area represents the amount of predictability between Chiyoda time series from 23rd of November 2025 to 7th of January 2026 and 7th of January 2026 to 21st 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 Chiyoda price movement. The serial correlation of 0.67 indicates that around 67.0% of current Chiyoda price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.67 | |
| Spearman Rank Test | 0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 2.69 |
Chiyoda 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.
Chiyoda Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. 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 Chiyoda volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Chiyoda 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 Chiyoda 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 Chiyoda based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Chiyoda price pattern first instead of the macroeconomic environment surrounding Chiyoda. By analyzing Chiyoda'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 Chiyoda'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 Chiyoda specific price patterns or momentum indicators. Please read more on our technical analysis page.
Chiyoda February 21, 2026 Technical Indicators
Most technical analysis of Chiyoda 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 Chiyoda from various momentum indicators to cycle indicators. When you analyze Chiyoda 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 | 0.1831 | |||
| Market Risk Adjusted Performance | 166.82 | |||
| Mean Deviation | 4.85 | |||
| Semi Deviation | 3.65 | |||
| Downside Deviation | 4.26 | |||
| Coefficient Of Variation | 437.45 | |||
| Standard Deviation | 6.54 | |||
| Variance | 42.75 | |||
| Information Ratio | 0.2163 | |||
| Jensen Alpha | 1.48 | |||
| Total Risk Alpha | 0.8799 | |||
| Sortino Ratio | 0.3323 | |||
| Treynor Ratio | 166.81 | |||
| Maximum Drawdown | 33.78 | |||
| Value At Risk | (6.47) | |||
| Potential Upside | 14.35 | |||
| Downside Variance | 18.11 | |||
| Semi Variance | 13.3 | |||
| Expected Short fall | (6.56) | |||
| Skewness | 1.26 | |||
| Kurtosis | 2.75 |
Chiyoda February 21, 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 Chiyoda 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 | (Huge) | ||
| Rate Of Daily Change | 0.88 | ||
| Day Median Price | 7.30 | ||
| Day Typical Price | 7.30 | ||
| Price Action Indicator | (0.50) |
Complementary Tools for Chiyoda Stock analysis
When running Chiyoda's price analysis, check to measure Chiyoda'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 Chiyoda is operating at the current time. Most of Chiyoda's value examination focuses on studying past and present price action to predict the probability of Chiyoda's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Chiyoda's price. Additionally, you may evaluate how the addition of Chiyoda to your portfolios can decrease your overall portfolio volatility.
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