Scientific Energy Stock Technical Analysis
| SCGY Stock | USD 1.72 0.02 1.18% |
As of the 25th of November, Scientific Energy has the Coefficient Of Variation of 876.16, risk adjusted performance of 0.0972, and Semi Deviation of 10.53. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Scientific Energy, as well as the relationship between them.
Scientific Energy Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Scientific, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ScientificScientific |
Scientific Energy 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.
Scientific Energy Technical Analysis
The output start index for this execution was three with a total number of output elements of fifty-eight. 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 Scientific Energy volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Scientific Energy Trend Analysis
Use this graph to draw trend lines for Scientific Energy. You can use it to identify possible trend reversals for Scientific Energy 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 Scientific Energy price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Scientific Energy Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Scientific Energy applied against its price change over selected period. The best fit line has a slop of 0.02 , which means Scientific Energy will continue generating value for investors. It has 122 observation points and a regression sum of squares at 23.5, which is the sum of squared deviations for the predicted Scientific Energy price change compared to its average price change.About Scientific Energy 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 Scientific Energy 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 Scientific Energy based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Scientific Energy price pattern first instead of the macroeconomic environment surrounding Scientific Energy. By analyzing Scientific Energy'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 Scientific Energy'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 Scientific Energy specific price patterns or momentum indicators. Please read more on our technical analysis page.
Scientific Energy November 25, 2024 Technical Indicators
Most technical analysis of Scientific 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 Scientific from various momentum indicators to cycle indicators. When you analyze Scientific 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.
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| Volume Indicators |
| Risk Adjusted Performance | 0.0972 | |||
| Market Risk Adjusted Performance | (0.35) | |||
| Mean Deviation | 9.87 | |||
| Semi Deviation | 10.53 | |||
| Downside Deviation | 36.28 | |||
| Coefficient Of Variation | 876.16 | |||
| Standard Deviation | 21.77 | |||
| Variance | 474.06 | |||
| Information Ratio | 0.1081 | |||
| Jensen Alpha | 3.31 | |||
| Total Risk Alpha | (0.95) | |||
| Sortino Ratio | 0.0649 | |||
| Treynor Ratio | (0.36) | |||
| Maximum Drawdown | 148.0 | |||
| Value At Risk | (27.27) | |||
| Potential Upside | 50.0 | |||
| Downside Variance | 1316.4 | |||
| Semi Variance | 110.98 | |||
| Expected Short fall | (43.05) | |||
| Skewness | 2.31 | |||
| Kurtosis | 9.34 |
Additional Tools for Scientific Pink Sheet Analysis
When running Scientific Energy's price analysis, check to measure Scientific Energy'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 Scientific Energy is operating at the current time. Most of Scientific Energy's value examination focuses on studying past and present price action to predict the probability of Scientific Energy's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Scientific Energy's price. Additionally, you may evaluate how the addition of Scientific Energy to your portfolios can decrease your overall portfolio volatility.