Prologis (Germany) Technical Analysis
POJN Stock | EUR 112.02 1.02 0.92% |
As of the 26th of November, Prologis holds the Risk Adjusted Performance of (0.01), variance of 2.15, and Coefficient Of Variation of (7,436). Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Prologis, as well as the relationship between them. Please check Prologis mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if Prologis is priced some-what accurately, providing market reflects its current price of 112.02 per share.
Prologis Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Prologis, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PrologisPrologis |
Prologis 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.
Prologis Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Prologis volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Prologis Trend Analysis
Use this graph to draw trend lines for Prologis. You can use it to identify possible trend reversals for Prologis 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 Prologis price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Prologis Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Prologis applied against its price change over selected period. The best fit line has a slop of 0.15 , which may suggest that Prologis market price will keep on failing further. It has 122 observation points and a regression sum of squares at 874.28, which is the sum of squared deviations for the predicted Prologis price change compared to its average price change.About Prologis 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 Prologis 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 Prologis based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Prologis price pattern first instead of the macroeconomic environment surrounding Prologis. By analyzing Prologis'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 Prologis'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 Prologis specific price patterns or momentum indicators. Please read more on our technical analysis page.
Prologis November 26, 2024 Technical Indicators
Most technical analysis of Prologis 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 Prologis from various momentum indicators to cycle indicators. When you analyze Prologis 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 | (0.01) | |||
Market Risk Adjusted Performance | (0.03) | |||
Mean Deviation | 1.09 | |||
Coefficient Of Variation | (7,436) | |||
Standard Deviation | 1.47 | |||
Variance | 2.15 | |||
Information Ratio | (0.10) | |||
Jensen Alpha | (0.11) | |||
Total Risk Alpha | (0.26) | |||
Treynor Ratio | (0.04) | |||
Maximum Drawdown | 7.54 | |||
Value At Risk | (2.66) | |||
Potential Upside | 2.26 | |||
Skewness | 0.6119 | |||
Kurtosis | 1.18 |
Complementary Tools for Prologis Stock analysis
When running Prologis' price analysis, check to measure Prologis' 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 Prologis is operating at the current time. Most of Prologis' value examination focuses on studying past and present price action to predict the probability of Prologis' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Prologis' price. Additionally, you may evaluate how the addition of Prologis to your portfolios can decrease your overall portfolio volatility.
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