Sempra (Germany) Technical Analysis
| SE4 Stock | EUR 83.22 0.96 1.17% |
As of the 24th of December, Sempra has the Risk Adjusted Performance of 0.1082, coefficient of variation of 769.05, and Semi Deviation of 0.9942. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Sempra, as well as the relationship between them. Please validate Sempra jensen alpha, maximum drawdown, and the relationship between the information ratio and treynor ratio to decide if Sempra is priced more or less accurately, providing market reflects its prevalent price of 83.22 per share.
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 Sempra, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SempraSempra |
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.
Sempra Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 Sempra volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Sempra Trend Analysis
Use this graph to draw trend lines for Sempra. You can use it to identify possible trend reversals for 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 Sempra price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Sempra Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Sempra applied against its price change over selected period. The best fit line has a slop of 0.23 , which means Sempra will continue generating value for investors. It has 122 observation points and a regression sum of squares at 2026.07, which is the sum of squared deviations for the predicted Sempra price change compared to its average price change.About 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 Sempra 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 Sempra based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Sempra price pattern first instead of the macroeconomic environment surrounding Sempra. By analyzing 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 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 Sempra specific price patterns or momentum indicators. Please read more on our technical analysis page.
Sempra December 24, 2024 Technical Indicators
Most technical analysis of Sempra 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 Sempra from various momentum indicators to cycle indicators. When you analyze Sempra 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 | 0.1082 | |||
| Market Risk Adjusted Performance | 0.2168 | |||
| Mean Deviation | 1.17 | |||
| Semi Deviation | 0.9942 | |||
| Downside Deviation | 1.18 | |||
| Coefficient Of Variation | 769.05 | |||
| Standard Deviation | 1.63 | |||
| Variance | 2.66 | |||
| Information Ratio | 0.1097 | |||
| Jensen Alpha | 0.1796 | |||
| Total Risk Alpha | 0.1545 | |||
| Sortino Ratio | 0.1517 | |||
| Treynor Ratio | 0.2068 | |||
| Maximum Drawdown | 9.53 | |||
| Value At Risk | (1.92) | |||
| Potential Upside | 3.37 | |||
| Downside Variance | 1.39 | |||
| Semi Variance | 0.9885 | |||
| Expected Short fall | (1.45) | |||
| Skewness | 1.46 | |||
| Kurtosis | 4.07 |
Complementary Tools for Sempra Stock analysis
When running Sempra's price analysis, check to measure 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 Sempra is operating at the current time. Most of Sempra's value examination focuses on studying past and present price action to predict the probability of 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 Sempra's price. Additionally, you may evaluate how the addition of Sempra to your portfolios can decrease your overall portfolio volatility.
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