Sabre Insurance Group Stock Technical Analysis
| SBIGY Stock | USD 5.04 0.00 0.00% |
As of the 22nd of November, Sabre Insurance has the Variance of 0.0501, risk adjusted performance of 0.0698, and Coefficient Of Variation of 812.4. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Sabre Insurance Group, as well as the relationship between them.
Sabre 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 Sabre, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SabreSabre |
Sabre 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.
Sabre Insurance Group Technical Analysis
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Sabre Insurance Group volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Sabre Insurance Group Trend Analysis
Use this graph to draw trend lines for Sabre Insurance Group. You can use it to identify possible trend reversals for Sabre 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 Sabre Insurance price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Sabre Insurance Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Sabre Insurance Group applied against its price change over selected period. The best fit line has a slop of 0.00 , . It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Sabre Insurance price change compared to its average price change.About Sabre 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 Sabre Insurance Group 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 Sabre Insurance Group based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Sabre Insurance Group price pattern first instead of the macroeconomic environment surrounding Sabre Insurance Group. By analyzing Sabre 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 Sabre 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 Sabre Insurance specific price patterns or momentum indicators. Please read more on our technical analysis page.
Sabre Insurance November 22, 2024 Technical Indicators
Most technical analysis of Sabre 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 Sabre from various momentum indicators to cycle indicators. When you analyze Sabre 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 | 0.0698 | |||
| Market Risk Adjusted Performance | 7.32 | |||
| Mean Deviation | 0.0543 | |||
| Coefficient Of Variation | 812.4 | |||
| Standard Deviation | 0.2238 | |||
| Variance | 0.0501 | |||
| Information Ratio | (0.37) | |||
| Jensen Alpha | 0.0173 | |||
| Total Risk Alpha | (0.01) | |||
| Treynor Ratio | 7.31 | |||
| Maximum Drawdown | 1.82 | |||
| Skewness | 8.12 | |||
| Kurtosis | 66.0 |
Additional Tools for Sabre Pink Sheet Analysis
When running Sabre Insurance's price analysis, check to measure Sabre 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 Sabre Insurance is operating at the current time. Most of Sabre Insurance's value examination focuses on studying past and present price action to predict the probability of Sabre 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 Sabre Insurance's price. Additionally, you may evaluate how the addition of Sabre Insurance to your portfolios can decrease your overall portfolio volatility.