Spuntech (Israel) Technical Analysis
| SPNTC Stock | ILS 319.00 1.90 0.59% |
As of the 3rd of March, Spuntech has the Risk Adjusted Performance of 0.0041, coefficient of variation of (24,604), and Variance of 7.43. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Spuntech, as well as the relationship between them.
Spuntech Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Spuntech, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SpuntechSpuntech |
Spuntech '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 Spuntech'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 Spuntech.
| 12/03/2025 |
| 03/03/2026 |
If you would invest 0.00 in Spuntech on December 3, 2025 and sell it all today you would earn a total of 0.00 from holding Spuntech or generate 0.0% return on investment in Spuntech over 90 days. Spuntech is related to or competes with Zanlakol, Globrands, Neto ME, and Bikurey Hasade. Spuntech Industries Ltd. develops, manufactures, and supplies spunlace hydroentangled fabrics More
Spuntech 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 Spuntech'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 Spuntech upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 16.21 | |||
| Value At Risk | (3.36) | |||
| Potential Upside | 4.06 |
Spuntech Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Spuntech's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Spuntech's standard deviation. In reality, there are many statistical measures that can use Spuntech historical prices to predict the future Spuntech's volatility.| Risk Adjusted Performance | 0.0041 | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.27) | |||
| Treynor Ratio | (0.08) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Spuntech's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Spuntech March 3, 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 | 0.0041 | |||
| Market Risk Adjusted Performance | (0.07) | |||
| Mean Deviation | 1.95 | |||
| Coefficient Of Variation | (24,604) | |||
| Standard Deviation | 2.73 | |||
| Variance | 7.43 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.27) | |||
| Treynor Ratio | (0.08) | |||
| Maximum Drawdown | 16.21 | |||
| Value At Risk | (3.36) | |||
| Potential Upside | 4.06 | |||
| Skewness | 1.54 | |||
| Kurtosis | 4.4 |
Spuntech Backtested Returns
Spuntech owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0479, which indicates the firm had a -0.0479 % return per unit of risk over the last 3 months. Spuntech exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Spuntech's Coefficient Of Variation of (24,604), variance of 7.43, and Risk Adjusted Performance of 0.0041 to confirm the risk estimate we provide. The entity has a beta of 0.26, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Spuntech's returns are expected to increase less than the market. However, during the bear market, the loss of holding Spuntech is expected to be smaller as well. At this point, Spuntech has a negative expected return of -0.11%. Please make sure to validate Spuntech's accumulation distribution, as well as the relationship between the day typical price and relative strength index , to decide if Spuntech performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.46 |
Modest reverse predictability
Spuntech has modest reverse predictability. Overlapping area represents the amount of predictability between Spuntech time series from 3rd of December 2025 to 17th of January 2026 and 17th of January 2026 to 3rd of March 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 Spuntech price movement. The serial correlation of -0.46 indicates that about 46.0% of current Spuntech price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.46 | |
| Spearman Rank Test | -0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 304.37 |
Spuntech 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.
Spuntech Technical Analysis
The output start index for this execution was two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for Spuntech across different markets.
About Spuntech 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 Spuntech 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 Spuntech based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Spuntech price pattern first instead of the macroeconomic environment surrounding Spuntech. By analyzing Spuntech'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 Spuntech'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 Spuntech specific price patterns or momentum indicators. Please read more on our technical analysis page.
Spuntech March 3, 2026 Technical Indicators
Most technical analysis of Spuntech 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 Spuntech from various momentum indicators to cycle indicators. When you analyze Spuntech 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 | 0.0041 | |||
| Market Risk Adjusted Performance | (0.07) | |||
| Mean Deviation | 1.95 | |||
| Coefficient Of Variation | (24,604) | |||
| Standard Deviation | 2.73 | |||
| Variance | 7.43 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.27) | |||
| Treynor Ratio | (0.08) | |||
| Maximum Drawdown | 16.21 | |||
| Value At Risk | (3.36) | |||
| Potential Upside | 4.06 | |||
| Skewness | 1.54 | |||
| Kurtosis | 4.4 |
Spuntech March 3, 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 Spuntech 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 | 27.32 | ||
| Daily Balance Of Power | (0.28) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 315.70 | ||
| Day Typical Price | 316.80 | ||
| Price Action Indicator | 2.35 | ||
| Market Facilitation Index | 0.01 |
Additional Tools for Spuntech Stock Analysis
When running Spuntech's price analysis, check to measure Spuntech'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 Spuntech is operating at the current time. Most of Spuntech's value examination focuses on studying past and present price action to predict the probability of Spuntech's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Spuntech's price. Additionally, you may evaluate how the addition of Spuntech to your portfolios can decrease your overall portfolio volatility.