ServiceNow (Germany) Technical Analysis
| 4S0 Stock | EUR 88.40 2.83 3.10% |
As of the 22nd of February, ServiceNow has the Risk Adjusted Performance of (0.17), variance of 9.09, and Coefficient Of Variation of (423.20). ServiceNow technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the company's future prices. Please validate ServiceNow treynor ratio, value at risk, and the relationship between the information ratio and maximum drawdown to decide if ServiceNow is priced more or less accurately, providing market reflects its prevalent price of 88.4 per share.
ServiceNow Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as ServiceNow, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ServiceNowServiceNow |
ServiceNow '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 ServiceNow'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 ServiceNow.
| 11/24/2025 |
| 02/22/2026 |
If you would invest 0.00 in ServiceNow on November 24, 2025 and sell it all today you would earn a total of 0.00 from holding ServiceNow or generate 0.0% return on investment in ServiceNow over 90 days. ServiceNow is related to or competes with BOS BETTER, Laurentian Bank, CREDIT AGRICOLE, CDN IMPERIAL, Lamar Advertising, Salesforce, and Ameriprise Financial. ServiceNow, Inc. provides enterprise cloud computing solutions that defines, structures, consolidates, manages, and auto... More
ServiceNow 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 ServiceNow'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 ServiceNow upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.26) | |||
| Maximum Drawdown | 13.76 | |||
| Value At Risk | (7.16) | |||
| Potential Upside | 2.73 |
ServiceNow Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ServiceNow's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ServiceNow's standard deviation. In reality, there are many statistical measures that can use ServiceNow historical prices to predict the future ServiceNow's volatility.| Risk Adjusted Performance | (0.17) | |||
| Jensen Alpha | (0.74) | |||
| Total Risk Alpha | (1.00) | |||
| Treynor Ratio | (3.60) |
ServiceNow February 22, 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 | (0.17) | |||
| Market Risk Adjusted Performance | (3.59) | |||
| Mean Deviation | 2.24 | |||
| Coefficient Of Variation | (423.20) | |||
| Standard Deviation | 3.02 | |||
| Variance | 9.09 | |||
| Information Ratio | (0.26) | |||
| Jensen Alpha | (0.74) | |||
| Total Risk Alpha | (1.00) | |||
| Treynor Ratio | (3.60) | |||
| Maximum Drawdown | 13.76 | |||
| Value At Risk | (7.16) | |||
| Potential Upside | 2.73 | |||
| Skewness | (1.65) | |||
| Kurtosis | 3.53 |
ServiceNow Backtested Returns
ServiceNow owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.23, which indicates the firm had a -0.23 % return per unit of risk over the last 3 months. ServiceNow exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate ServiceNow's Variance of 9.09, risk adjusted performance of (0.17), and Coefficient Of Variation of (423.20) to confirm the risk estimate we provide. The entity has a beta of 0.2, which indicates not very significant fluctuations relative to the market. As returns on the market increase, ServiceNow's returns are expected to increase less than the market. However, during the bear market, the loss of holding ServiceNow is expected to be smaller as well. At this point, ServiceNow has a negative expected return of -0.72%. Please make sure to validate ServiceNow's jensen alpha, treynor ratio, value at risk, as well as the relationship between the total risk alpha and maximum drawdown , to decide if ServiceNow performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.80 |
Very good predictability
ServiceNow has very good predictability. Overlapping area represents the amount of predictability between ServiceNow time series from 24th of November 2025 to 8th of January 2026 and 8th of January 2026 to 22nd 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 ServiceNow price movement. The serial correlation of 0.8 indicates that around 80.0% of current ServiceNow price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.8 | |
| Spearman Rank Test | 0.69 | |
| Residual Average | 0.0 | |
| Price Variance | 154.75 |
ServiceNow 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.
ServiceNow Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. The Normalized Average True Range is used to analyze tradable apportunities for ServiceNow across different markets.
About ServiceNow 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 ServiceNow 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 ServiceNow based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on ServiceNow price pattern first instead of the macroeconomic environment surrounding ServiceNow. By analyzing ServiceNow'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 ServiceNow'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 ServiceNow specific price patterns or momentum indicators. Please read more on our technical analysis page.
ServiceNow February 22, 2026 Technical Indicators
Most technical analysis of ServiceNow 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 ServiceNow from various momentum indicators to cycle indicators. When you analyze ServiceNow 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 | (0.17) | |||
| Market Risk Adjusted Performance | (3.59) | |||
| Mean Deviation | 2.24 | |||
| Coefficient Of Variation | (423.20) | |||
| Standard Deviation | 3.02 | |||
| Variance | 9.09 | |||
| Information Ratio | (0.26) | |||
| Jensen Alpha | (0.74) | |||
| Total Risk Alpha | (1.00) | |||
| Treynor Ratio | (3.60) | |||
| Maximum Drawdown | 13.76 | |||
| Value At Risk | (7.16) | |||
| Potential Upside | 2.73 | |||
| Skewness | (1.65) | |||
| Kurtosis | 3.53 |
ServiceNow February 22, 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 ServiceNow 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 | 0.04 | ||
| Daily Balance Of Power | (0.72) | ||
| Rate Of Daily Change | 0.97 | ||
| Day Median Price | 90.37 | ||
| Day Typical Price | 89.71 | ||
| Price Action Indicator | (3.38) | ||
| Market Facilitation Index | 3.94 |
Complementary Tools for ServiceNow Stock analysis
When running ServiceNow's price analysis, check to measure ServiceNow'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 ServiceNow is operating at the current time. Most of ServiceNow's value examination focuses on studying past and present price action to predict the probability of ServiceNow's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ServiceNow's price. Additionally, you may evaluate how the addition of ServiceNow to your portfolios can decrease your overall portfolio volatility.
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