SBI Life (India) Technical Analysis
| SBILIFE Stock | 1,438 9.15 0.64% |
As of the 30th of November, SBI Life has the Market Risk Adjusted Performance of (3.68), standard deviation of 1.56, and Risk Adjusted Performance of (0.17). Concerning fundamental indicators, the technical analysis model makes it possible for you to check helpful technical drivers of SBI Life Insurance, as well as the relationship between them. Please validate SBI Life Insurance variance and value at risk to decide if SBI Life is priced correctly, providing market reflects its prevalent price of 1437.75 per share.
SBI Life Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SBI, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SBISBI |
SBI Life 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.
SBI Life Insurance 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 SBI Life Insurance volatility. High ATR values indicate high volatility, and low values indicate low volatility.
SBI Life Insurance Trend Analysis
Use this graph to draw trend lines for SBI Life Insurance. You can use it to identify possible trend reversals for SBI Life 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 SBI Life price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.SBI Life Best Fit Change Line
The following chart estimates an ordinary least squares regression model for SBI Life Insurance applied against its price change over selected period. The best fit line has a slop of 7.87 , which may suggest that SBI Life Insurance market price will keep on failing further. It has 122 observation points and a regression sum of squares at 2343547.62, which is the sum of squared deviations for the predicted SBI Life price change compared to its average price change.About SBI Life 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 SBI 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 SBI Life Insurance based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on SBI Life Insurance price pattern first instead of the macroeconomic environment surrounding SBI Life Insurance. By analyzing SBI Life'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 SBI Life'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 SBI Life specific price patterns or momentum indicators. Please read more on our technical analysis page.
SBI Life November 30, 2024 Technical Indicators
Most technical analysis of SBI 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 SBI from various momentum indicators to cycle indicators. When you analyze SBI 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 | (0.17) | |||
| Market Risk Adjusted Performance | (3.68) | |||
| Mean Deviation | 1.15 | |||
| Coefficient Of Variation | (432.87) | |||
| Standard Deviation | 1.56 | |||
| Variance | 2.43 | |||
| Information Ratio | (0.32) | |||
| Jensen Alpha | (0.38) | |||
| Total Risk Alpha | (0.63) | |||
| Treynor Ratio | (3.69) | |||
| Maximum Drawdown | 8.55 | |||
| Value At Risk | (2.95) | |||
| Potential Upside | 2.08 | |||
| Skewness | (0.57) | |||
| Kurtosis | 1.3 |
SBI Life November 30, 2024 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 SBI 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 | 391,213 | ||
| Daily Balance Of Power | 0.14 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 1,428 | ||
| Day Typical Price | 1,431 | ||
| Price Action Indicator | 14.00 |
Complementary Tools for SBI Stock analysis
When running SBI Life's price analysis, check to measure SBI Life'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 SBI Life is operating at the current time. Most of SBI Life's value examination focuses on studying past and present price action to predict the probability of SBI Life's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SBI Life's price. Additionally, you may evaluate how the addition of SBI Life to your portfolios can decrease your overall portfolio volatility.
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