OPmobility (France) Technical Analysis
| OPM Stock | 16.88 0.11 0.66% |
As of the 15th of February 2026, OPmobility holds the Risk Adjusted Performance of 0.1165, semi deviation of 1.47, and Coefficient Of Variation of 728.89. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of OPmobility, as well as the relationship between them.
OPmobility Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as OPmobility, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to OPmobilityOPmobility |
OPmobility '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 OPmobility's 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 OPmobility.
| 11/17/2025 |
| 02/15/2026 |
If you would invest 0.00 in OPmobility on November 17, 2025 and sell it all today you would earn a total of 0.00 from holding OPmobility SE or generate 0.0% return on investment in OPmobility over 90 days. OPmobility is related to or competes with Forvia SE, Valeo SA, Burelle SA, Lagardere SCA, Verallia, Trigano SA, and SEB SA. OPmobility is entity of France. It is traded as Stock on PA exchange. More
OPmobility 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 OPmobility's 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 OPmobility SE upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.73 | |||
| Information Ratio | 0.1007 | |||
| Maximum Drawdown | 9.42 | |||
| Value At Risk | (2.32) | |||
| Potential Upside | 3.34 |
OPmobility Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for OPmobility's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as OPmobility's standard deviation. In reality, there are many statistical measures that can use OPmobility historical prices to predict the future OPmobility's volatility.| Risk Adjusted Performance | 0.1165 | |||
| Jensen Alpha | 0.2337 | |||
| Total Risk Alpha | 0.1107 | |||
| Sortino Ratio | 0.112 | |||
| Treynor Ratio | 0.7773 |
OPmobility February 15, 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 | 0.1165 | |||
| Market Risk Adjusted Performance | 0.7873 | |||
| Mean Deviation | 1.5 | |||
| Semi Deviation | 1.47 | |||
| Downside Deviation | 1.73 | |||
| Coefficient Of Variation | 728.89 | |||
| Standard Deviation | 1.92 | |||
| Variance | 3.68 | |||
| Information Ratio | 0.1007 | |||
| Jensen Alpha | 0.2337 | |||
| Total Risk Alpha | 0.1107 | |||
| Sortino Ratio | 0.112 | |||
| Treynor Ratio | 0.7773 | |||
| Maximum Drawdown | 9.42 | |||
| Value At Risk | (2.32) | |||
| Potential Upside | 3.34 | |||
| Downside Variance | 2.98 | |||
| Semi Variance | 2.17 | |||
| Expected Short fall | (1.66) | |||
| Skewness | 0.5379 | |||
| Kurtosis | 0.3477 |
OPmobility SE Backtested Returns
OPmobility appears to be not too volatile, given 3 months investment horizon. OPmobility SE maintains Sharpe Ratio (i.e., Efficiency) of 0.16, which implies the firm had a 0.16 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for OPmobility SE, which you can use to evaluate the volatility of the company. Please evaluate OPmobility's Coefficient Of Variation of 728.89, semi deviation of 1.47, and Risk Adjusted Performance of 0.1165 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, OPmobility holds a performance score of 12. The company holds a Beta of 0.33, which implies possible diversification benefits within a given portfolio. As returns on the market increase, OPmobility's returns are expected to increase less than the market. However, during the bear market, the loss of holding OPmobility is expected to be smaller as well. Please check OPmobility's semi variance, rate of daily change, and the relationship between the value at risk and kurtosis , to make a quick decision on whether OPmobility's historical price patterns will revert.
Auto-correlation | 0.33 |
Below average predictability
OPmobility SE has below average predictability. Overlapping area represents the amount of predictability between OPmobility time series from 17th of November 2025 to 1st of January 2026 and 1st of January 2026 to 15th 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 OPmobility SE price movement. The serial correlation of 0.33 indicates that nearly 33.0% of current OPmobility price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.33 | |
| Spearman Rank Test | 0.52 | |
| Residual Average | 0.0 | |
| Price Variance | 0.11 |
OPmobility 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.
OPmobility SE Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for OPmobility SE across different markets.
About OPmobility 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 OPmobility SE 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 OPmobility SE based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on OPmobility SE price pattern first instead of the macroeconomic environment surrounding OPmobility SE. By analyzing OPmobility'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 OPmobility'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 OPmobility specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2023 | 2024 | 2025 | 2026 (projected) | Dividend Yield | 0.0194 | 0.0658 | 0.0592 | 0.0622 | Price To Sales Ratio | 0.17 | 0.14 | 0.16 | 0.15 |
OPmobility February 15, 2026 Technical Indicators
Most technical analysis of OPmobility 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 OPmobility from various momentum indicators to cycle indicators. When you analyze OPmobility 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 | 0.1165 | |||
| Market Risk Adjusted Performance | 0.7873 | |||
| Mean Deviation | 1.5 | |||
| Semi Deviation | 1.47 | |||
| Downside Deviation | 1.73 | |||
| Coefficient Of Variation | 728.89 | |||
| Standard Deviation | 1.92 | |||
| Variance | 3.68 | |||
| Information Ratio | 0.1007 | |||
| Jensen Alpha | 0.2337 | |||
| Total Risk Alpha | 0.1107 | |||
| Sortino Ratio | 0.112 | |||
| Treynor Ratio | 0.7773 | |||
| Maximum Drawdown | 9.42 | |||
| Value At Risk | (2.32) | |||
| Potential Upside | 3.34 | |||
| Downside Variance | 2.98 | |||
| Semi Variance | 2.17 | |||
| Expected Short fall | (1.66) | |||
| Skewness | 0.5379 | |||
| Kurtosis | 0.3477 |
OPmobility February 15, 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 OPmobility 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 | 0.02 | ||
| Daily Balance Of Power | 0.32 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 16.71 | ||
| Day Typical Price | 16.77 | ||
| Price Action Indicator | 0.22 | ||
| Market Facilitation Index | 0.34 |
Complementary Tools for OPmobility Stock analysis
When running OPmobility's price analysis, check to measure OPmobility'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 OPmobility is operating at the current time. Most of OPmobility's value examination focuses on studying past and present price action to predict the probability of OPmobility's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move OPmobility's price. Additionally, you may evaluate how the addition of OPmobility to your portfolios can decrease your overall portfolio volatility.
| Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
| Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites | |
| Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
| Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
| Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
| Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
| Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk |