Schnapp (Israel) Technical Analysis
| SHNP Stock | ILA 1,497 37.00 2.53% |
As of the 22nd of February, Schnapp has the Coefficient Of Variation of 6460.38, semi deviation of 1.46, and Risk Adjusted Performance of 0.0171. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Schnapp, as well as the relationship between them.
Schnapp Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Schnapp, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SchnappSchnapp |
Schnapp '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 Schnapp'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 Schnapp.
| 11/24/2025 |
| 02/22/2026 |
If you would invest 0.00 in Schnapp on November 24, 2025 and sell it all today you would earn a total of 0.00 from holding Schnapp or generate 0.0% return on investment in Schnapp over 90 days. Schnapp is related to or competes with Raval ACS, Hamashbir 365, Aviation Links, Plastofil, Ginegar, Skyline Investments, and Multi Retail. Works Ltd manufactures and sells batteries for vehicles in Israel and internationally More
Schnapp 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 Schnapp'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 Schnapp upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.64 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 8.92 | |||
| Value At Risk | (2.66) | |||
| Potential Upside | 2.74 |
Schnapp Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Schnapp's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Schnapp's standard deviation. In reality, there are many statistical measures that can use Schnapp historical prices to predict the future Schnapp's volatility.| Risk Adjusted Performance | 0.0171 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0656 |
Schnapp 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 | 0.0171 | |||
| Market Risk Adjusted Performance | 0.0756 | |||
| Mean Deviation | 1.15 | |||
| Semi Deviation | 1.46 | |||
| Downside Deviation | 1.64 | |||
| Coefficient Of Variation | 6460.38 | |||
| Standard Deviation | 1.63 | |||
| Variance | 2.65 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0656 | |||
| Maximum Drawdown | 8.92 | |||
| Value At Risk | (2.66) | |||
| Potential Upside | 2.74 | |||
| Downside Variance | 2.68 | |||
| Semi Variance | 2.13 | |||
| Expected Short fall | (1.33) | |||
| Skewness | 0.283 | |||
| Kurtosis | 1.26 |
Schnapp Backtested Returns
At this point, Schnapp is very steady. Schnapp owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.041, which indicates the firm had a 0.041 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Schnapp, which you can use to evaluate the volatility of the company. Please validate Schnapp's Risk Adjusted Performance of 0.0171, coefficient of variation of 6460.38, and Semi Deviation of 1.46 to confirm if the risk estimate we provide is consistent with the expected return of 0.0697%. Schnapp has a performance score of 3 on a scale of 0 to 100. The entity has a beta of 0.23, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Schnapp's returns are expected to increase less than the market. However, during the bear market, the loss of holding Schnapp is expected to be smaller as well. Schnapp right now has a risk of 1.7%. Please validate Schnapp coefficient of variation, jensen alpha, sortino ratio, as well as the relationship between the standard deviation and total risk alpha , to decide if Schnapp will be following its existing price patterns.
Auto-correlation | -0.85 |
Excellent reverse predictability
Schnapp has excellent reverse predictability. Overlapping area represents the amount of predictability between Schnapp 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 Schnapp price movement. The serial correlation of -0.85 indicates that around 85.0% of current Schnapp price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.85 | |
| Spearman Rank Test | -0.6 | |
| Residual Average | 0.0 | |
| Price Variance | 5338.41 |
Schnapp 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.
Schnapp 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 Schnapp across different markets.
About Schnapp 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 Schnapp 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 Schnapp based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Schnapp price pattern first instead of the macroeconomic environment surrounding Schnapp. By analyzing Schnapp'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 Schnapp'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 Schnapp specific price patterns or momentum indicators. Please read more on our technical analysis page.
Schnapp February 22, 2026 Technical Indicators
Most technical analysis of Schnapp 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 Schnapp from various momentum indicators to cycle indicators. When you analyze Schnapp 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 | 0.0171 | |||
| Market Risk Adjusted Performance | 0.0756 | |||
| Mean Deviation | 1.15 | |||
| Semi Deviation | 1.46 | |||
| Downside Deviation | 1.64 | |||
| Coefficient Of Variation | 6460.38 | |||
| Standard Deviation | 1.63 | |||
| Variance | 2.65 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0656 | |||
| Maximum Drawdown | 8.92 | |||
| Value At Risk | (2.66) | |||
| Potential Upside | 2.74 | |||
| Downside Variance | 2.68 | |||
| Semi Variance | 2.13 | |||
| Expected Short fall | (1.33) | |||
| Skewness | 0.283 | |||
| Kurtosis | 1.26 |
Schnapp 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 Schnapp 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 | 1.00 | ||
| Rate Of Daily Change | 1.03 | ||
| Day Median Price | 1,478 | ||
| Day Typical Price | 1,485 | ||
| Price Action Indicator | 37.00 | ||
| Market Facilitation Index | 37.00 |
Complementary Tools for Schnapp Stock analysis
When running Schnapp's price analysis, check to measure Schnapp'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 Schnapp is operating at the current time. Most of Schnapp's value examination focuses on studying past and present price action to predict the probability of Schnapp's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Schnapp's price. Additionally, you may evaluate how the addition of Schnapp to your portfolios can decrease your overall portfolio volatility.
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