Asuransi Jiwa (Indonesia) Technical Analysis
| JMAS Stock | IDR 56.00 1.00 1.82% |
As of the 19th of April, Asuransi Jiwa shows the Mean Deviation of 2.36, risk adjusted performance of (0), and Standard Deviation of 3.62. Asuransi Jiwa Syariah technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Put another way, you can use this information to find out if the firm will indeed mirror its model of historical prices and volume momentum, or the prices will eventually revert. We were able to interpolate thirteen technical drivers for Asuransi Jiwa Syariah, which can be compared to its peers. Please confirm Asuransi Jiwa Syariah coefficient of variation, variance, and the relationship between the mean deviation and standard deviation to decide if Asuransi Jiwa Syariah is priced correctly, providing market reflects its regular price of 56.0 per share.
Asuransi Jiwa Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Asuransi, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AsuransiAsuransi |
Asuransi Jiwa 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.
Asuransi Jiwa Syariah Technical Analysis
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Asuransi Jiwa Syariah Trend Analysis
Use this graph to draw trend lines for Asuransi Jiwa Syariah. You can use it to identify possible trend reversals for Asuransi Jiwa 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 Asuransi Jiwa price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Asuransi Jiwa Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Asuransi Jiwa Syariah applied against its price change over selected period. The best fit line has a slop of 0.04 , which may suggest that Asuransi Jiwa Syariah market price will keep on failing further. It has 122 observation points and a regression sum of squares at 71.29, which is the sum of squared deviations for the predicted Asuransi Jiwa price change compared to its average price change.About Asuransi Jiwa 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 Asuransi Jiwa Syariah 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 Asuransi Jiwa Syariah based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Asuransi Jiwa Syariah price pattern first instead of the macroeconomic environment surrounding Asuransi Jiwa Syariah. By analyzing Asuransi Jiwa'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 Asuransi Jiwa'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 Asuransi Jiwa specific price patterns or momentum indicators. Please read more on our technical analysis page.
Asuransi Jiwa April 19, 2024 Technical Indicators
Most technical analysis of Asuransi 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 Asuransi from various momentum indicators to cycle indicators. When you analyze Asuransi 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.
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| Math Transform | ||
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| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0) | |||
| Market Risk Adjusted Performance | 0.1877 | |||
| Mean Deviation | 2.36 | |||
| Coefficient Of Variation | (5,377) | |||
| Standard Deviation | 3.62 | |||
| Variance | 13.09 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.42) | |||
| Treynor Ratio | 0.1777 | |||
| Maximum Drawdown | 26.33 | |||
| Value At Risk | (4.55) | |||
| Potential Upside | 5.45 | |||
| Skewness | 1.8 | |||
| Kurtosis | 8.62 |
Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
Complementary Tools for Asuransi Stock analysis
When running Asuransi Jiwa's price analysis, check to measure Asuransi Jiwa'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 Asuransi Jiwa is operating at the current time. Most of Asuransi Jiwa's value examination focuses on studying past and present price action to predict the probability of Asuransi Jiwa's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Asuransi Jiwa's price. Additionally, you may evaluate how the addition of Asuransi Jiwa to your portfolios can decrease your overall portfolio volatility.
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