Polygon L (Israel) Technical Analysis
| POLY Stock | ILS 5,776 23.00 0.40% |
As of the 1st of February, Polygon L holds the Coefficient Of Variation of 1244.97, risk adjusted performance of 0.0645, and Semi Deviation of 1.89. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Polygon L, as well as the relationship between them.
Polygon L Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Polygon, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PolygonPolygon |
Polygon L '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 Polygon L'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 Polygon L.
| 11/03/2025 |
| 02/01/2026 |
If you would invest 0.00 in Polygon L on November 3, 2025 and sell it all today you would earn a total of 0.00 from holding Polygon L or generate 0.0% return on investment in Polygon L over 90 days. Polygon L is related to or competes with Mishorim Real, Medipower, Libental, Netanel, Ravad, Maslavi, and Lodzia. Polygon Real Estate Ltd engages in the entrepreneurship, development, acquisition, and construction of real estate proje... More
Polygon L 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 Polygon L'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 Polygon L upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.16 | |||
| Information Ratio | 0.0582 | |||
| Maximum Drawdown | 9.85 | |||
| Value At Risk | (3.72) | |||
| Potential Upside | 3.47 |
Polygon L Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Polygon L's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Polygon L's standard deviation. In reality, there are many statistical measures that can use Polygon L historical prices to predict the future Polygon L's volatility.| Risk Adjusted Performance | 0.0645 | |||
| Jensen Alpha | 0.1569 | |||
| Total Risk Alpha | 0.0551 | |||
| Sortino Ratio | 0.0549 | |||
| Treynor Ratio | (1.53) |
Polygon L February 1, 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 | 0.0645 | |||
| Market Risk Adjusted Performance | (1.52) | |||
| Mean Deviation | 1.43 | |||
| Semi Deviation | 1.89 | |||
| Downside Deviation | 2.16 | |||
| Coefficient Of Variation | 1244.97 | |||
| Standard Deviation | 2.03 | |||
| Variance | 4.14 | |||
| Information Ratio | 0.0582 | |||
| Jensen Alpha | 0.1569 | |||
| Total Risk Alpha | 0.0551 | |||
| Sortino Ratio | 0.0549 | |||
| Treynor Ratio | (1.53) | |||
| Maximum Drawdown | 9.85 | |||
| Value At Risk | (3.72) | |||
| Potential Upside | 3.47 | |||
| Downside Variance | 4.66 | |||
| Semi Variance | 3.59 | |||
| Expected Short fall | (1.52) | |||
| Skewness | 0.2167 | |||
| Kurtosis | 1.2 |
Polygon L Backtested Returns
At this point, Polygon L is very steady. Polygon L maintains Sharpe Ratio (i.e., Efficiency) of 0.0793, which implies the firm had a 0.0793 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Polygon L, which you can use to evaluate the volatility of the company. Please check Polygon L's Risk Adjusted Performance of 0.0645, coefficient of variation of 1244.97, and Semi Deviation of 1.89 to confirm if the risk estimate we provide is consistent with the expected return of 0.16%. Polygon L has a performance score of 6 on a scale of 0 to 100. The company holds a Beta of -0.1, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Polygon L are expected to decrease at a much lower rate. During the bear market, Polygon L is likely to outperform the market. Polygon L right now holds a risk of 2.03%. Please check Polygon L jensen alpha, sortino ratio, maximum drawdown, as well as the relationship between the total risk alpha and treynor ratio , to decide if Polygon L will be following its historical price patterns.
Auto-correlation | -0.01 |
Very weak reverse predictability
Polygon L has very weak reverse predictability. Overlapping area represents the amount of predictability between Polygon L time series from 3rd of November 2025 to 18th of December 2025 and 18th of December 2025 to 1st 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 Polygon L price movement. The serial correlation of -0.01 indicates that just 1.0% of current Polygon L price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.01 | |
| Spearman Rank Test | 0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 30.4 K |
Polygon L 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.
Polygon L Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Polygon L volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Polygon L 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 Polygon L 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 Polygon L based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Polygon L price pattern first instead of the macroeconomic environment surrounding Polygon L. By analyzing Polygon L'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 Polygon L'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 Polygon L specific price patterns or momentum indicators. Please read more on our technical analysis page.
Polygon L February 1, 2026 Technical Indicators
Most technical analysis of Polygon 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 Polygon from various momentum indicators to cycle indicators. When you analyze Polygon 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 | 0.0645 | |||
| Market Risk Adjusted Performance | (1.52) | |||
| Mean Deviation | 1.43 | |||
| Semi Deviation | 1.89 | |||
| Downside Deviation | 2.16 | |||
| Coefficient Of Variation | 1244.97 | |||
| Standard Deviation | 2.03 | |||
| Variance | 4.14 | |||
| Information Ratio | 0.0582 | |||
| Jensen Alpha | 0.1569 | |||
| Total Risk Alpha | 0.0551 | |||
| Sortino Ratio | 0.0549 | |||
| Treynor Ratio | (1.53) | |||
| Maximum Drawdown | 9.85 | |||
| Value At Risk | (3.72) | |||
| Potential Upside | 3.47 | |||
| Downside Variance | 4.66 | |||
| Semi Variance | 3.59 | |||
| Expected Short fall | (1.52) | |||
| Skewness | 0.2167 | |||
| Kurtosis | 1.2 |
Polygon L February 1, 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 Polygon 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 | (0.10) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 5,878 | ||
| Day Typical Price | 5,844 | ||
| Price Action Indicator | (113.00) | ||
| Market Facilitation Index | 239.00 |
Complementary Tools for Polygon Stock analysis
When running Polygon L's price analysis, check to measure Polygon L'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 Polygon L is operating at the current time. Most of Polygon L's value examination focuses on studying past and present price action to predict the probability of Polygon L's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Polygon L's price. Additionally, you may evaluate how the addition of Polygon L to your portfolios can decrease your overall portfolio volatility.
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