Dba Sempra 5750 Stock Technical Analysis
| SREA Stock | USD 24.04 0.15 0.62% |
As of the 1st of December, DBA Sempra owns the Variance of 0.3142, standard deviation of 0.5605, and Market Risk Adjusted Performance of (0.49). Concerning fundamental indicators, the technical analysis model provides you with a way to check potential technical drivers of DBA Sempra 5750, as well as the relationship between them.
DBA Sempra Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as DBA, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DBADBA |
DBA Sempra 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.
DBA Sempra 5750 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 DBA Sempra 5750 volatility. High ATR values indicate high volatility, and low values indicate low volatility.
DBA Sempra 5750 Trend Analysis
Use this graph to draw trend lines for DBA Sempra 5750. You can use it to identify possible trend reversals for DBA Sempra 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 DBA Sempra price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.DBA Sempra Best Fit Change Line
The following chart estimates an ordinary least squares regression model for DBA Sempra 5750 applied against its price change over selected period. The best fit line has a slop of 0.0092 , which may suggest that DBA Sempra 5750 market price will keep on failing further. It has 122 observation points and a regression sum of squares at 3.19, which is the sum of squared deviations for the predicted DBA Sempra price change compared to its average price change.About DBA Sempra 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 DBA Sempra 5750 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 DBA Sempra 5750 based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on DBA Sempra 5750 price pattern first instead of the macroeconomic environment surrounding DBA Sempra 5750. By analyzing DBA Sempra'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 DBA Sempra'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 DBA Sempra specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0347 | 0.0303 | 0.0324 | 0.0308 | Price To Sales Ratio | 3.21 | 3.37 | 2.82 | 2.96 |
DBA Sempra December 1, 2024 Technical Indicators
Most technical analysis of DBA 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 DBA from various momentum indicators to cycle indicators. When you analyze DBA 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 | (0.05) | |||
| Market Risk Adjusted Performance | (0.49) | |||
| Mean Deviation | 0.4037 | |||
| Coefficient Of Variation | (1,539) | |||
| Standard Deviation | 0.5605 | |||
| Variance | 0.3142 | |||
| Information Ratio | (0.31) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.14) | |||
| Treynor Ratio | (0.50) | |||
| Maximum Drawdown | 3.66 | |||
| Value At Risk | (0.80) | |||
| Potential Upside | 0.9607 | |||
| Skewness | (0.15) | |||
| Kurtosis | 2.39 |
Complementary Tools for DBA Stock analysis
When running DBA Sempra's price analysis, check to measure DBA Sempra'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 DBA Sempra is operating at the current time. Most of DBA Sempra's value examination focuses on studying past and present price action to predict the probability of DBA Sempra's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DBA Sempra's price. Additionally, you may evaluate how the addition of DBA Sempra to your portfolios can decrease your overall portfolio volatility.
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