XPO Logistics (Germany) Technical Analysis
| UX2A Stock | EUR 172.30 1.15 0.67% |
As of the 20th of February, XPO Logistics maintains the Mean Deviation of 2.42, risk adjusted performance of 0.1395, and Downside Deviation of 2.77. In relation to fundamental indicators, the technical analysis model lets you check available technical drivers of XPO Logistics, as well as the relationship between them. Please check out XPO Logistics information ratio, treynor ratio, value at risk, as well as the relationship between the jensen alpha and maximum drawdown to decide if XPO Logistics is priced some-what accurately, providing market reflects its latest price of 172.3 per share.
XPO Logistics Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as XPO, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to XPOXPO |
XPO Logistics '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 XPO Logistics' 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 XPO Logistics.
| 11/22/2025 |
| 02/20/2026 |
If you would invest 0.00 in XPO Logistics on November 22, 2025 and sell it all today you would earn a total of 0.00 from holding XPO Logistics or generate 0.0% return on investment in XPO Logistics over 90 days. XPO Logistics is related to or competes with TYSON FOODS, MOLSON COORS, Yuexiu Transport, Lifeway Foods, NISSIN FOODS, United Natural, and Gladstone Investment. XPO Logistics, Inc. provides transportation and logistics services in the United States, North America, France, the Unit... More
XPO Logistics 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 XPO Logistics' 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 XPO Logistics upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.77 | |||
| Information Ratio | 0.1533 | |||
| Maximum Drawdown | 21.04 | |||
| Value At Risk | (4.92) | |||
| Potential Upside | 5.57 |
XPO Logistics Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for XPO Logistics' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as XPO Logistics' standard deviation. In reality, there are many statistical measures that can use XPO Logistics historical prices to predict the future XPO Logistics' volatility.| Risk Adjusted Performance | 0.1395 | |||
| Jensen Alpha | 0.4797 | |||
| Total Risk Alpha | 0.3362 | |||
| Sortino Ratio | 0.1877 | |||
| Treynor Ratio | 0.3288 |
XPO Logistics February 20, 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 | 0.1395 | |||
| Market Risk Adjusted Performance | 0.3388 | |||
| Mean Deviation | 2.42 | |||
| Semi Deviation | 2.51 | |||
| Downside Deviation | 2.77 | |||
| Coefficient Of Variation | 581.32 | |||
| Standard Deviation | 3.39 | |||
| Variance | 11.49 | |||
| Information Ratio | 0.1533 | |||
| Jensen Alpha | 0.4797 | |||
| Total Risk Alpha | 0.3362 | |||
| Sortino Ratio | 0.1877 | |||
| Treynor Ratio | 0.3288 | |||
| Maximum Drawdown | 21.04 | |||
| Value At Risk | (4.92) | |||
| Potential Upside | 5.57 | |||
| Downside Variance | 7.66 | |||
| Semi Variance | 6.32 | |||
| Expected Short fall | (2.78) | |||
| Skewness | 1.12 | |||
| Kurtosis | 4.02 |
XPO Logistics Backtested Returns
XPO Logistics appears to be very steady, given 3 months investment horizon. XPO Logistics shows Sharpe Ratio of 0.22, which attests that the company had a 0.22 % return per unit of standard deviation over the last 3 months. By analyzing XPO Logistics' technical indicators, you can evaluate if the expected return of 0.74% is justified by implied risk. Please utilize XPO Logistics' Risk Adjusted Performance of 0.1395, mean deviation of 2.42, and Downside Deviation of 2.77 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, XPO Logistics holds a performance score of 17. The firm maintains a market beta of 1.74, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, XPO Logistics will likely underperform. Please check XPO Logistics' treynor ratio, value at risk, and the relationship between the sortino ratio and maximum drawdown , to make a quick decision on whether XPO Logistics' historical returns will revert.
Auto-correlation | -0.37 |
Poor reverse predictability
XPO Logistics has poor reverse predictability. Overlapping area represents the amount of predictability between XPO Logistics time series from 22nd of November 2025 to 6th of January 2026 and 6th of January 2026 to 20th 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 XPO Logistics price movement. The serial correlation of -0.37 indicates that just about 37.0% of current XPO Logistics price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.37 | |
| Spearman Rank Test | 0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 244.23 |
XPO Logistics 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.
XPO Logistics Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-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 XPO Logistics volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About XPO Logistics 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 XPO Logistics 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 XPO Logistics based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on XPO Logistics price pattern first instead of the macroeconomic environment surrounding XPO Logistics. By analyzing XPO Logistics'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 XPO Logistics'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 XPO Logistics specific price patterns or momentum indicators. Please read more on our technical analysis page.
XPO Logistics February 20, 2026 Technical Indicators
Most technical analysis of XPO 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 XPO from various momentum indicators to cycle indicators. When you analyze XPO 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 | 0.1395 | |||
| Market Risk Adjusted Performance | 0.3388 | |||
| Mean Deviation | 2.42 | |||
| Semi Deviation | 2.51 | |||
| Downside Deviation | 2.77 | |||
| Coefficient Of Variation | 581.32 | |||
| Standard Deviation | 3.39 | |||
| Variance | 11.49 | |||
| Information Ratio | 0.1533 | |||
| Jensen Alpha | 0.4797 | |||
| Total Risk Alpha | 0.3362 | |||
| Sortino Ratio | 0.1877 | |||
| Treynor Ratio | 0.3288 | |||
| Maximum Drawdown | 21.04 | |||
| Value At Risk | (4.92) | |||
| Potential Upside | 5.57 | |||
| Downside Variance | 7.66 | |||
| Semi Variance | 6.32 | |||
| Expected Short fall | (2.78) | |||
| Skewness | 1.12 | |||
| Kurtosis | 4.02 |
XPO Logistics February 20, 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 XPO 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 | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 172.30 | ||
| Day Typical Price | 172.30 | ||
| Price Action Indicator | 0.58 |
Complementary Tools for XPO Stock analysis
When running XPO Logistics' price analysis, check to measure XPO Logistics' 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 XPO Logistics is operating at the current time. Most of XPO Logistics' value examination focuses on studying past and present price action to predict the probability of XPO Logistics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move XPO Logistics' price. Additionally, you may evaluate how the addition of XPO Logistics to your portfolios can decrease your overall portfolio volatility.
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