INPOST SA (Germany) Technical Analysis
669 Stock | EUR 16.22 0.17 1.06% |
As of the 22nd of December, INPOST SA retains the risk adjusted performance of (0.04), and Market Risk Adjusted Performance of 1.62. INPOST SA technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices. Please check out INPOST SA EO treynor ratio, value at risk, and the relationship between the information ratio and maximum drawdown to decide if INPOST SA is priced correctly, providing market reflects its last-minute price of 16.22 per share.
INPOST SA Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as INPOST, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to INPOSTINPOST |
INPOST SA 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.
INPOST SA EO Technical Analysis
The output start index for this execution was twenty with a total number of output elements of fourty-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 INPOST SA EO volatility. High ATR values indicate high volatility, and low values indicate low volatility.
INPOST SA EO Trend Analysis
Use this graph to draw trend lines for INPOST SA EO. You can use it to identify possible trend reversals for INPOST SA 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 INPOST SA price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.INPOST SA Best Fit Change Line
The following chart estimates an ordinary least squares regression model for INPOST SA EO applied against its price change over selected period. The best fit line has a slop of 0.02 , which may suggest that INPOST SA EO market price will keep on failing further. It has 122 observation points and a regression sum of squares at 21.87, which is the sum of squared deviations for the predicted INPOST SA price change compared to its average price change.About INPOST SA 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 INPOST SA EO 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 INPOST SA EO based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on INPOST SA EO price pattern first instead of the macroeconomic environment surrounding INPOST SA EO. By analyzing INPOST SA'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 INPOST SA'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 INPOST SA specific price patterns or momentum indicators. Please read more on our technical analysis page.
INPOST SA December 22, 2024 Technical Indicators
Most technical analysis of INPOST 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 INPOST from various momentum indicators to cycle indicators. When you analyze INPOST 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 | (0.04) | |||
Market Risk Adjusted Performance | 1.62 | |||
Mean Deviation | 1.03 | |||
Coefficient Of Variation | (1,645) | |||
Standard Deviation | 1.45 | |||
Variance | 2.1 | |||
Information Ratio | (0.08) | |||
Jensen Alpha | (0.1) | |||
Total Risk Alpha | (0.14) | |||
Treynor Ratio | 1.61 | |||
Maximum Drawdown | 8.99 | |||
Value At Risk | (2.20) | |||
Potential Upside | 2.2 | |||
Skewness | (0.61) | |||
Kurtosis | 3.08 |
Complementary Tools for INPOST Stock analysis
When running INPOST SA's price analysis, check to measure INPOST SA'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 INPOST SA is operating at the current time. Most of INPOST SA's value examination focuses on studying past and present price action to predict the probability of INPOST SA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move INPOST SA's price. Additionally, you may evaluate how the addition of INPOST SA to your portfolios can decrease your overall portfolio volatility.
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