Prashkovsky (Israel) Technical Analysis
| PRSK Stock | ILS 10,620 120.00 1.14% |
As of the 30th of November, Prashkovsky holds the Coefficient Of Variation of 722.32, risk adjusted performance of 0.1126, and Semi Deviation of 1.76. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Prashkovsky, as well as the relationship between them.
Prashkovsky Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Prashkovsky, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PrashkovskyPrashkovsky |
Prashkovsky 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.
Prashkovsky 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 Prashkovsky volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Prashkovsky Trend Analysis
Use this graph to draw trend lines for Prashkovsky. You can use it to identify possible trend reversals for Prashkovsky as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Prashkovsky price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Prashkovsky Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Prashkovsky applied against its price change over selected period. The best fit line has a slop of 56.82 , which means Prashkovsky will continue producing value for investors. It has 122 observation points and a regression sum of squares at 1.2208905936E8, which is the sum of squared deviations for the predicted Prashkovsky price change compared to its average price change.About Prashkovsky 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 Prashkovsky 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 Prashkovsky based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Prashkovsky price pattern first instead of the macroeconomic environment surrounding Prashkovsky. By analyzing Prashkovsky'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 Prashkovsky'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 Prashkovsky specific price patterns or momentum indicators. Please read more on our technical analysis page.
Prashkovsky November 30, 2024 Technical Indicators
Most technical analysis of Prashkovsky 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 Prashkovsky from various momentum indicators to cycle indicators. When you analyze Prashkovsky 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 | 0.1126 | |||
| Market Risk Adjusted Performance | (2.41) | |||
| Mean Deviation | 1.82 | |||
| Semi Deviation | 1.76 | |||
| Downside Deviation | 2.06 | |||
| Coefficient Of Variation | 722.32 | |||
| Standard Deviation | 2.39 | |||
| Variance | 5.72 | |||
| Information Ratio | 0.0809 | |||
| Jensen Alpha | 0.338 | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | 0.0938 | |||
| Treynor Ratio | (2.42) | |||
| Maximum Drawdown | 9.01 | |||
| Value At Risk | (3.20) | |||
| Potential Upside | 5.03 | |||
| Downside Variance | 4.26 | |||
| Semi Variance | 3.12 | |||
| Expected Short fall | (2.19) | |||
| Skewness | 0.2817 | |||
| Kurtosis | 0.4009 |
Complementary Tools for Prashkovsky Stock analysis
When running Prashkovsky's price analysis, check to measure Prashkovsky'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 Prashkovsky is operating at the current time. Most of Prashkovsky's value examination focuses on studying past and present price action to predict the probability of Prashkovsky's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Prashkovsky's price. Additionally, you may evaluate how the addition of Prashkovsky to your portfolios can decrease your overall portfolio volatility.
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