Snap (Germany) Technical Analysis
| 1SI Stock | EUR 4.12 0.02 0.48% |
As of the 19th of February, Snap has the Coefficient Of Variation of (342.08), variance of 9.75, and Risk Adjusted Performance of (0.22). Snap 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 Snap Inc coefficient of variation, variance, and the relationship between the mean deviation and standard deviation to decide if Snap is priced more or less accurately, providing market reflects its prevalent price of 4.12 per share.
Snap Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Snap, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SnapSnap |
Snap '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 Snap'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 Snap.
| 11/21/2025 |
| 02/19/2026 |
If you would invest 0.00 in Snap on November 21, 2025 and sell it all today you would earn a total of 0.00 from holding Snap Inc or generate 0.0% return on investment in Snap over 90 days. Snap is related to or competes with NIPPON PROLOGIS, UNITED URBAN, KENEDIX OFFICE, Industrial Infrastructure, ACTIVIA PROPERTINC, Japan Real, and Nippon Building. Snap is entity of Germany. It is traded as Stock on F exchange. More
Snap 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 Snap'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 Snap Inc upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.31) | |||
| Maximum Drawdown | 20.29 | |||
| Value At Risk | (6.04) | |||
| Potential Upside | 2.83 |
Snap Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Snap's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Snap's standard deviation. In reality, there are many statistical measures that can use Snap historical prices to predict the future Snap's volatility.| Risk Adjusted Performance | (0.22) | |||
| Jensen Alpha | (0.92) | |||
| Total Risk Alpha | (1.07) | |||
| Treynor Ratio | (32.15) |
Snap February 19, 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 | (0.22) | |||
| Market Risk Adjusted Performance | (32.14) | |||
| Mean Deviation | 2.27 | |||
| Coefficient Of Variation | (342.08) | |||
| Standard Deviation | 3.12 | |||
| Variance | 9.75 | |||
| Information Ratio | (0.31) | |||
| Jensen Alpha | (0.92) | |||
| Total Risk Alpha | (1.07) | |||
| Treynor Ratio | (32.15) | |||
| Maximum Drawdown | 20.29 | |||
| Value At Risk | (6.04) | |||
| Potential Upside | 2.83 | |||
| Skewness | (1.08) | |||
| Kurtosis | 3.43 |
Snap Inc Backtested Returns
Snap Inc owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.24, which indicates the firm had a -0.24 % return per unit of risk over the last 3 months. Snap Inc exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Snap's Risk Adjusted Performance of (0.22), variance of 9.75, and Coefficient Of Variation of (342.08) to confirm the risk estimate we provide. The entity has a beta of 0.0287, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Snap's returns are expected to increase less than the market. However, during the bear market, the loss of holding Snap is expected to be smaller as well. At this point, Snap Inc has a negative expected return of -0.75%. Please make sure to validate Snap's market risk adjusted performance, coefficient of variation, jensen alpha, as well as the relationship between the mean deviation and standard deviation , to decide if Snap Inc performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.25 |
Weak reverse predictability
Snap Inc has weak reverse predictability. Overlapping area represents the amount of predictability between Snap time series from 21st of November 2025 to 5th of January 2026 and 5th of January 2026 to 19th 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 Snap Inc price movement. The serial correlation of -0.25 indicates that over 25.0% of current Snap price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.25 | |
| Spearman Rank Test | -0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 0.87 |
Snap 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.
Snap Inc 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 Snap Inc volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Snap 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 Snap Inc 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 Snap Inc based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Snap Inc price pattern first instead of the macroeconomic environment surrounding Snap Inc. By analyzing Snap'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 Snap'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 Snap specific price patterns or momentum indicators. Please read more on our technical analysis page.
Snap February 19, 2026 Technical Indicators
Most technical analysis of Snap 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 Snap from various momentum indicators to cycle indicators. When you analyze Snap 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 | (0.22) | |||
| Market Risk Adjusted Performance | (32.14) | |||
| Mean Deviation | 2.27 | |||
| Coefficient Of Variation | (342.08) | |||
| Standard Deviation | 3.12 | |||
| Variance | 9.75 | |||
| Information Ratio | (0.31) | |||
| Jensen Alpha | (0.92) | |||
| Total Risk Alpha | (1.07) | |||
| Treynor Ratio | (32.15) | |||
| Maximum Drawdown | 20.29 | |||
| Value At Risk | (6.04) | |||
| Potential Upside | 2.83 | |||
| Skewness | (1.08) | |||
| Kurtosis | 3.43 |
Snap February 19, 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 Snap 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 | (0.11) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 4.04 | ||
| Day Typical Price | 4.07 | ||
| Price Action Indicator | 0.07 | ||
| Market Facilitation Index | 0.18 |
Complementary Tools for Snap Stock analysis
When running Snap's price analysis, check to measure Snap'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 Snap is operating at the current time. Most of Snap's value examination focuses on studying past and present price action to predict the probability of Snap's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Snap's price. Additionally, you may evaluate how the addition of Snap to your portfolios can decrease your overall portfolio volatility.
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
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