AOYAMA TRADING (Germany) Technical Analysis
| 9B7 Stock | EUR 13.30 0.20 1.48% |
As of the 31st of January, AOYAMA TRADING shows the mean deviation of 1.91, and Risk Adjusted Performance of 0.1724. AOYAMA TRADING 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 AOYAMA TRADING maximum drawdown, potential upside, and the relationship between the treynor ratio and value at risk to decide if AOYAMA TRADING is priced some-what accurately, providing market reflects its regular price of 13.3 per share.
AOYAMA TRADING Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as AOYAMA, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AOYAMAAOYAMA |
AOYAMA TRADING 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.
AOYAMA TRADING Technical Analysis
The output start index for this execution was fourty-five with a total number of output elements of sixteen. 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 AOYAMA TRADING volatility. High ATR values indicate high volatility, and low values indicate low volatility.
AOYAMA TRADING Trend Analysis
Use this graph to draw trend lines for AOYAMA TRADING. You can use it to identify possible trend reversals for AOYAMA TRADING 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 AOYAMA TRADING price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.AOYAMA TRADING Best Fit Change Line
The following chart estimates an ordinary least squares regression model for AOYAMA TRADING applied against its price change over selected period. The best fit line has a slop of 0.07 , which means AOYAMA TRADING will continue generating value for investors. It has 122 observation points and a regression sum of squares at 187.48, which is the sum of squared deviations for the predicted AOYAMA TRADING price change compared to its average price change.About AOYAMA TRADING 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 AOYAMA TRADING 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 AOYAMA TRADING based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on AOYAMA TRADING price pattern first instead of the macroeconomic environment surrounding AOYAMA TRADING. By analyzing AOYAMA TRADING'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 AOYAMA TRADING'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 AOYAMA TRADING specific price patterns or momentum indicators. Please read more on our technical analysis page.
AOYAMA TRADING January 31, 2025 Technical Indicators
Most technical analysis of AOYAMA 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 AOYAMA from various momentum indicators to cycle indicators. When you analyze AOYAMA 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 | 0.1724 | |||
| Market Risk Adjusted Performance | (2.65) | |||
| Mean Deviation | 1.91 | |||
| Semi Deviation | 0.3869 | |||
| Downside Deviation | 1.44 | |||
| Coefficient Of Variation | 508.47 | |||
| Standard Deviation | 4.63 | |||
| Variance | 21.45 | |||
| Information Ratio | 0.1751 | |||
| Jensen Alpha | 0.9313 | |||
| Total Risk Alpha | 0.4023 | |||
| Sortino Ratio | 0.564 | |||
| Treynor Ratio | (2.66) | |||
| Maximum Drawdown | 37.45 | |||
| Value At Risk | (2.16) | |||
| Potential Upside | 4.96 | |||
| Downside Variance | 2.07 | |||
| Semi Variance | 0.1497 | |||
| Expected Short fall | (2.92) | |||
| Skewness | 6.19 | |||
| Kurtosis | 44.25 |
Complementary Tools for AOYAMA Stock analysis
When running AOYAMA TRADING's price analysis, check to measure AOYAMA TRADING'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 AOYAMA TRADING is operating at the current time. Most of AOYAMA TRADING's value examination focuses on studying past and present price action to predict the probability of AOYAMA TRADING's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AOYAMA TRADING's price. Additionally, you may evaluate how the addition of AOYAMA TRADING to your portfolios can decrease your overall portfolio volatility.
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