Spectra Stock Technical Analysis
| SSA Stock | CAD 0.22 0.01 4.76% |
As of the 28th of November, Spectra has the Variance of 6.86, risk adjusted performance of 0.0375, and Coefficient Of Variation of 2514.57. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Spectra, as well as the relationship between them. Please validate Spectra coefficient of variation, treynor ratio, as well as the relationship between the Treynor Ratio and kurtosis to decide if Spectra is priced more or less accurately, providing market reflects its prevalent price of 0.22 per share.
Spectra Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Spectra, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SpectraSpectra |
Spectra 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.
Spectra 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 Spectra volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Spectra Trend Analysis
Use this graph to draw trend lines for Spectra. You can use it to identify possible trend reversals for Spectra 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 Spectra price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Spectra Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Spectra applied against its price change over selected period. The best fit line has a slop of 0.0003 , which means Spectra will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Spectra price change compared to its average price change.About Spectra 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 Spectra 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 Spectra based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Spectra price pattern first instead of the macroeconomic environment surrounding Spectra. By analyzing Spectra'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 Spectra'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 Spectra specific price patterns or momentum indicators. Please read more on our technical analysis page.
Spectra November 28, 2024 Technical Indicators
Most technical analysis of Spectra 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 Spectra from various momentum indicators to cycle indicators. When you analyze Spectra 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 | 0.0375 | |||
| Market Risk Adjusted Performance | 0.2656 | |||
| Mean Deviation | 0.8335 | |||
| Coefficient Of Variation | 2514.57 | |||
| Standard Deviation | 2.62 | |||
| Variance | 6.86 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | 0.0517 | |||
| Total Risk Alpha | (0.30) | |||
| Treynor Ratio | 0.2556 | |||
| Maximum Drawdown | 26.14 | |||
| Potential Upside | 4.76 | |||
| Skewness | 0.5373 | |||
| Kurtosis | 18.68 |
Additional Tools for Spectra Stock Analysis
When running Spectra's price analysis, check to measure Spectra'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 Spectra is operating at the current time. Most of Spectra's value examination focuses on studying past and present price action to predict the probability of Spectra's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Spectra's price. Additionally, you may evaluate how the addition of Spectra to your portfolios can decrease your overall portfolio volatility.