FID ASIA (Germany) Technical Analysis
IPGS Stock | EUR 31.08 0.14 0.45% |
As of the 19th of April, FID ASIA shows the mean deviation of 0.6934, and Downside Deviation of 1.03. Our technical analysis interface provides you with a way to check possible technical drivers of FID ASIA FOC, as well as the relationship between them. Put another way, you can use this information to find out if the firm will indeed mirror its model of historical prices and volume momentum, or the prices will eventually revert. We were able to interpolate nineteen technical drivers for FID ASIA FOC, which can be compared to its peers. Please confirm FID ASIA FOC coefficient of variation, variance, and the relationship between the downside deviation and standard deviation to decide if FID ASIA FOC is priced some-what accurately, providing market reflects its regular price of 31.08 per share.
FID ASIA Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as FID, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FIDFID |
FID ASIA 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.
FID ASIA FOC Technical Analysis
We are not able to run technical analysis function on this symbol. We either do not have that equity or its historical data is not available at this time. Please try again later.
FID ASIA FOC Trend Analysis
Use this graph to draw trend lines for FID ASIA FOC. You can use it to identify possible trend reversals for FID ASIA 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 FID ASIA price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.FID ASIA Best Fit Change Line
The following chart estimates an ordinary least squares regression model for FID ASIA FOC applied against its price change over selected period. The best fit line has a slop of 0.03 , which means FID ASIA FOC will continue generating value for investors. It has 70 observation points and a regression sum of squares at 5.16, which is the sum of squared deviations for the predicted FID ASIA price change compared to its average price change.About FID ASIA 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 FID ASIA FOC 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 FID ASIA FOC based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on FID ASIA FOC price pattern first instead of the macroeconomic environment surrounding FID ASIA FOC. By analyzing FID ASIA'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 FID ASIA'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 FID ASIA specific price patterns or momentum indicators. Please read more on our technical analysis page.
FID ASIA April 19, 2024 Technical Indicators
Most technical analysis of FID 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 FID from various momentum indicators to cycle indicators. When you analyze FID 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 | 0.0695 | |||
Market Risk Adjusted Performance | (0.68) | |||
Mean Deviation | 0.6934 | |||
Semi Deviation | 0.8465 | |||
Downside Deviation | 1.03 | |||
Coefficient Of Variation | 938.26 | |||
Standard Deviation | 0.9641 | |||
Variance | 0.9295 | |||
Information Ratio | 0.0354 | |||
Jensen Alpha | 0.1006 | |||
Total Risk Alpha | 0.0014 | |||
Sortino Ratio | 0.0332 | |||
Treynor Ratio | (0.69) | |||
Maximum Drawdown | 3.93 | |||
Value At Risk | (1.74) | |||
Potential Upside | 1.45 | |||
Downside Variance | 1.06 | |||
Semi Variance | 0.7165 | |||
Expected Short fall | (0.82) | |||
Skewness | (0.38) | |||
Kurtosis | 1.17 |
Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
Complementary Tools for FID Stock analysis
When running FID ASIA's price analysis, check to measure FID ASIA'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 FID ASIA is operating at the current time. Most of FID ASIA's value examination focuses on studying past and present price action to predict the probability of FID ASIA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move FID ASIA's price. Additionally, you may evaluate how the addition of FID ASIA to your portfolios can decrease your overall portfolio volatility.
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