Energisa (Brazil) Technical Analysis
ENGI3 Stock | BRL 11.18 0.03 0.27% |
As of the 12th of December 2024, Energisa shows the Standard Deviation of 1.8, variance of 3.24, and Mean Deviation of 1.41. Energisa SA technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices. Please confirm Energisa SA variance, treynor ratio, and the relationship between the standard deviation and information ratio to decide if Energisa SA is priced favorably, providing market reflects its regular price of 11.18 per share.
Energisa Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Energisa, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to EnergisaEnergisa |
Energisa 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.
Energisa SA Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Energisa SA volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Energisa SA Trend Analysis
Use this graph to draw trend lines for Energisa SA. You can use it to identify possible trend reversals for Energisa 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 Energisa price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Energisa Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Energisa SA applied against its price change over selected period. The best fit line has a slop of 0.04 , which may suggest that Energisa SA market price will keep on failing further. It has 122 observation points and a regression sum of squares at 72.93, which is the sum of squared deviations for the predicted Energisa price change compared to its average price change.About Energisa 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 Energisa SA 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 Energisa SA based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Energisa SA price pattern first instead of the macroeconomic environment surrounding Energisa SA. By analyzing Energisa'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 Energisa'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 Energisa specific price patterns or momentum indicators. Please read more on our technical analysis page.
Energisa December 12, 2024 Technical Indicators
Most technical analysis of Energisa 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 Energisa from various momentum indicators to cycle indicators. When you analyze Energisa 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 | (0.13) | |||
Market Risk Adjusted Performance | 1.88 | |||
Mean Deviation | 1.41 | |||
Coefficient Of Variation | (523.36) | |||
Standard Deviation | 1.8 | |||
Variance | 3.24 | |||
Information Ratio | (0.26) | |||
Jensen Alpha | (0.33) | |||
Total Risk Alpha | (0.64) | |||
Treynor Ratio | 1.87 | |||
Maximum Drawdown | 8.01 | |||
Value At Risk | (3.82) | |||
Potential Upside | 2.43 | |||
Skewness | (0.21) | |||
Kurtosis | (0.25) |
Energisa December 12, 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 Energisa 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 | 80.11 | ||
Daily Balance Of Power | (0.09) | ||
Rate Of Daily Change | 1.00 | ||
Day Median Price | 11.18 | ||
Day Typical Price | 11.18 | ||
Price Action Indicator | (0.02) | ||
Market Facilitation Index | 0.0001 |
Additional Tools for Energisa Stock Analysis
When running Energisa's price analysis, check to measure Energisa'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 Energisa is operating at the current time. Most of Energisa's value examination focuses on studying past and present price action to predict the probability of Energisa's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Energisa's price. Additionally, you may evaluate how the addition of Energisa to your portfolios can decrease your overall portfolio volatility.