Prologis (Germany) Technical Analysis
| POJN Stock | EUR 119.30 1.90 1.62% |
As of the 18th of February 2026, Prologis holds the Risk Adjusted Performance of 0.1184, semi deviation of 0.9543, and Coefficient Of Variation of 687.54. 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 information ratio, treynor ratio, value at risk, as well as the relationship between the jensen alpha and maximum drawdown to decide if Prologis is priced some-what accurately, providing market reflects its current price of 119.3 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 '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 Prologis' 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 Prologis.
| 11/20/2025 |
| 02/18/2026 |
If you would invest 0.00 in Prologis on November 20, 2025 and sell it all today you would earn a total of 0.00 from holding Prologis or generate 0.0% return on investment in Prologis over 90 days. Prologis is related to or competes with DANAHER (DAPSG), Advanced Micro, Philip Morris, Amgen, and Hong Kong. Prologis, Inc. is the global leader in logistics real estate with a focus on high-barrier, high-growth markets More
Prologis 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 Prologis' 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 Prologis upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.11 | |||
| Information Ratio | 0.0973 | |||
| Maximum Drawdown | 5.86 | |||
| Value At Risk | (1.48) | |||
| Potential Upside | 1.98 |
Prologis Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Prologis' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Prologis' standard deviation. In reality, there are many statistical measures that can use Prologis historical prices to predict the future Prologis' volatility.| Risk Adjusted Performance | 0.1184 | |||
| Jensen Alpha | 0.1537 | |||
| Total Risk Alpha | 0.0906 | |||
| Sortino Ratio | 0.0969 | |||
| Treynor Ratio | (1.90) |
Prologis February 18, 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 | 0.1184 | |||
| Market Risk Adjusted Performance | (1.89) | |||
| Mean Deviation | 0.8382 | |||
| Semi Deviation | 0.9543 | |||
| Downside Deviation | 1.11 | |||
| Coefficient Of Variation | 687.54 | |||
| Standard Deviation | 1.1 | |||
| Variance | 1.21 | |||
| Information Ratio | 0.0973 | |||
| Jensen Alpha | 0.1537 | |||
| Total Risk Alpha | 0.0906 | |||
| Sortino Ratio | 0.0969 | |||
| Treynor Ratio | (1.90) | |||
| Maximum Drawdown | 5.86 | |||
| Value At Risk | (1.48) | |||
| Potential Upside | 1.98 | |||
| Downside Variance | 1.22 | |||
| Semi Variance | 0.9107 | |||
| Expected Short fall | (1.00) | |||
| Skewness | (0.60) | |||
| Kurtosis | 1.86 |
Prologis Backtested Returns
Prologis appears to be very steady, given 3 months investment horizon. Prologis maintains Sharpe Ratio (i.e., Efficiency) of 0.18, which implies the firm had a 0.18 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Prologis, which you can use to evaluate the volatility of the company. Please evaluate Prologis' Risk Adjusted Performance of 0.1184, semi deviation of 0.9543, and Coefficient Of Variation of 687.54 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Prologis holds a performance score of 14. The company holds a Beta of -0.0791, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Prologis are expected to decrease at a much lower rate. During the bear market, Prologis is likely to outperform the market. Please check Prologis' total risk alpha, treynor ratio, value at risk, as well as the relationship between the sortino ratio and maximum drawdown , to make a quick decision on whether Prologis' historical price patterns will revert.
Auto-correlation | 0.05 |
Virtually no predictability
Prologis has virtually no predictability. Overlapping area represents the amount of predictability between Prologis time series from 20th of November 2025 to 4th of January 2026 and 4th of January 2026 to 18th 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 Prologis price movement. The serial correlation of 0.05 indicates that only as little as 5.0% of current Prologis price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.05 | |
| Spearman Rank Test | 0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 10.31 |
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.
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 February 18, 2026 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 | 0.1184 | |||
| Market Risk Adjusted Performance | (1.89) | |||
| Mean Deviation | 0.8382 | |||
| Semi Deviation | 0.9543 | |||
| Downside Deviation | 1.11 | |||
| Coefficient Of Variation | 687.54 | |||
| Standard Deviation | 1.1 | |||
| Variance | 1.21 | |||
| Information Ratio | 0.0973 | |||
| Jensen Alpha | 0.1537 | |||
| Total Risk Alpha | 0.0906 | |||
| Sortino Ratio | 0.0969 | |||
| Treynor Ratio | (1.90) | |||
| Maximum Drawdown | 5.86 | |||
| Value At Risk | (1.48) | |||
| Potential Upside | 1.98 | |||
| Downside Variance | 1.22 | |||
| Semi Variance | 0.9107 | |||
| Expected Short fall | (1.00) | |||
| Skewness | (0.60) | |||
| Kurtosis | 1.86 |
Prologis February 18, 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 Prologis 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 | 0.01 | ||
| Daily Balance Of Power | 1.38 | ||
| Rate Of Daily Change | 1.02 | ||
| Day Median Price | 118.61 | ||
| Day Typical Price | 118.84 | ||
| Price Action Indicator | 1.64 | ||
| Market Facilitation Index | 1.38 |
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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