OneSpan (Germany) Technical Analysis
| VDY Stock | EUR 10.80 0.00 0.00% |
As of the 25th of February, OneSpan holds the Coefficient Of Variation of 2806.14, risk adjusted performance of 0.0323, and Semi Deviation of 1.32. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of OneSpan, as well as the relationship between them. Please check OneSpan standard deviation, treynor ratio, downside variance, as well as the relationship between the information ratio and value at risk to decide if OneSpan is priced some-what accurately, providing market reflects its current price of 10.8 per share.
OneSpan Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as OneSpan, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to OneSpanOneSpan |
OneSpan '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 OneSpan'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 OneSpan.
| 11/27/2025 |
| 02/25/2026 |
If you would invest 0.00 in OneSpan on November 27, 2025 and sell it all today you would earn a total of 0.00 from holding OneSpan or generate 0.0% return on investment in OneSpan over 90 days. OneSpan is related to or competes with DANAHER (DAPSG), Advanced Micro, and Philip Morris. OneSpan is entity of Germany. It is traded as Stock on BE exchange. More
OneSpan 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 OneSpan'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 OneSpan upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.36 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 9.34 | |||
| Value At Risk | (1.90) | |||
| Potential Upside | 2.83 |
OneSpan Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for OneSpan's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as OneSpan's standard deviation. In reality, there are many statistical measures that can use OneSpan historical prices to predict the future OneSpan's volatility.| Risk Adjusted Performance | 0.0323 | |||
| Jensen Alpha | 0.0441 | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 20.12 |
OneSpan February 25, 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 | 0.0323 | |||
| Market Risk Adjusted Performance | 20.13 | |||
| Mean Deviation | 0.7879 | |||
| Semi Deviation | 1.32 | |||
| Downside Deviation | 3.36 | |||
| Coefficient Of Variation | 2806.14 | |||
| Standard Deviation | 1.52 | |||
| Variance | 2.32 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | 0.0441 | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 20.12 | |||
| Maximum Drawdown | 9.34 | |||
| Value At Risk | (1.90) | |||
| Potential Upside | 2.83 | |||
| Downside Variance | 11.28 | |||
| Semi Variance | 1.75 | |||
| Expected Short fall | (1.79) | |||
| Skewness | (1.38) | |||
| Kurtosis | 6.25 |
OneSpan Backtested Returns
At this point, OneSpan is very steady. OneSpan maintains Sharpe Ratio (i.e., Efficiency) of 0.0643, which implies the firm had a 0.0643 % return per unit of risk over the last 3 months. We have found twenty-five technical indicators for OneSpan, which you can use to evaluate the volatility of the company. Please check OneSpan's Semi Deviation of 1.32, coefficient of variation of 2806.14, and Risk Adjusted Performance of 0.0323 to confirm if the risk estimate we provide is consistent with the expected return of 0.0698%. OneSpan has a performance score of 5 on a scale of 0 to 100. The company holds a Beta of 0.0022, which implies not very significant fluctuations relative to the market. As returns on the market increase, OneSpan's returns are expected to increase less than the market. However, during the bear market, the loss of holding OneSpan is expected to be smaller as well. OneSpan right now holds a risk of 1.08%. Please check OneSpan information ratio, treynor ratio, downside variance, as well as the relationship between the total risk alpha and value at risk , to decide if OneSpan will be following its historical price patterns.
Auto-correlation | 0.00 |
No correlation between past and present
OneSpan has no correlation between past and present. Overlapping area represents the amount of predictability between OneSpan time series from 27th of November 2025 to 11th of January 2026 and 11th of January 2026 to 25th 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 OneSpan price movement. The serial correlation of 0.0 indicates that just 0.0% of current OneSpan price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.65 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
OneSpan 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.
OneSpan Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Normalized Average True Range is used to analyze tradable apportunities for OneSpan across different markets.
About OneSpan 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 OneSpan 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 OneSpan based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on OneSpan price pattern first instead of the macroeconomic environment surrounding OneSpan. By analyzing OneSpan'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 OneSpan'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 OneSpan specific price patterns or momentum indicators. Please read more on our technical analysis page.
OneSpan February 25, 2026 Technical Indicators
Most technical analysis of OneSpan 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 OneSpan from various momentum indicators to cycle indicators. When you analyze OneSpan 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 | 0.0323 | |||
| Market Risk Adjusted Performance | 20.13 | |||
| Mean Deviation | 0.7879 | |||
| Semi Deviation | 1.32 | |||
| Downside Deviation | 3.36 | |||
| Coefficient Of Variation | 2806.14 | |||
| Standard Deviation | 1.52 | |||
| Variance | 2.32 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | 0.0441 | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 20.12 | |||
| Maximum Drawdown | 9.34 | |||
| Value At Risk | (1.90) | |||
| Potential Upside | 2.83 | |||
| Downside Variance | 11.28 | |||
| Semi Variance | 1.75 | |||
| Expected Short fall | (1.79) | |||
| Skewness | (1.38) | |||
| Kurtosis | 6.25 |
OneSpan February 25, 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 OneSpan 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 | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 10.80 | ||
| Day Typical Price | 10.80 | ||
| Price Action Indicator | 0.00 |
Complementary Tools for OneSpan Stock analysis
When running OneSpan's price analysis, check to measure OneSpan'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 OneSpan is operating at the current time. Most of OneSpan's value examination focuses on studying past and present price action to predict the probability of OneSpan's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move OneSpan's price. Additionally, you may evaluate how the addition of OneSpan to your portfolios can decrease your overall portfolio volatility.
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