Life Insurance Stock Technical Analysis
| LINSA Stock | USD 15.50 0.50 3.33% |
As of the 28th of November, Life Insurance secures the Risk Adjusted Performance of (0.03), standard deviation of 1.61, and Mean Deviation of 0.4735. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Life Insurance, as well as the relationship between them.
Life Insurance Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Life, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to LifeLife |
Life Insurance technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Life Insurance Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-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 Life Insurance volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Life Insurance Trend Analysis
Use this graph to draw trend lines for Life Insurance. You can use it to identify possible trend reversals for Life Insurance 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 Life Insurance price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Life Insurance Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Life Insurance applied against its price change over selected period. The best fit line has a slop of 0.04 , which may suggest that Life Insurance market price will keep on failing further. It has 122 observation points and a regression sum of squares at 57.72, which is the sum of squared deviations for the predicted Life Insurance price change compared to its average price change.About Life Insurance 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 Life Insurance 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 Life Insurance based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Life Insurance price pattern first instead of the macroeconomic environment surrounding Life Insurance. By analyzing Life Insurance'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 Life Insurance'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 Life Insurance specific price patterns or momentum indicators. Please read more on our technical analysis page.
Life Insurance November 28, 2024 Technical Indicators
Most technical analysis of Life 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 Life from various momentum indicators to cycle indicators. When you analyze Life 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 | (0.03) | |||
| Market Risk Adjusted Performance | (0.26) | |||
| Mean Deviation | 0.4735 | |||
| Coefficient Of Variation | (1,968) | |||
| Standard Deviation | 1.61 | |||
| Variance | 2.59 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.35) | |||
| Treynor Ratio | (0.27) | |||
| Maximum Drawdown | 8.2 | |||
| Skewness | (1.28) | |||
| Kurtosis | 18.22 |
Complementary Tools for Life Pink Sheet analysis
When running Life Insurance's price analysis, check to measure Life Insurance'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 Life Insurance is operating at the current time. Most of Life Insurance's value examination focuses on studying past and present price action to predict the probability of Life Insurance's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Life Insurance's price. Additionally, you may evaluate how the addition of Life Insurance to your portfolios can decrease your overall portfolio volatility.
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