Structured Products Corp Stock Technical Analysis
| KTH Stock | USD 28.78 0.06 0.21% |
As of the 29th of November, Structured Products has the Risk Adjusted Performance of 0.0436, coefficient of variation of 1960.52, and Semi Deviation of 1.13. Structured Products technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the company's future prices.
Structured Products Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Structured, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to StructuredStructured |
Structured Products 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.
Structured Products Corp Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Structured Products Corp volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Structured Products Corp Trend Analysis
Use this graph to draw trend lines for Structured Products Corp. You can use it to identify possible trend reversals for Structured Products 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 Structured Products price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Structured Products Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Structured Products Corp applied against its price change over selected period. The best fit line has a slop of 0.03 , which may imply that Structured Products Corp will maintain its good market sentiment and make money for investors. It has 122 observation points and a regression sum of squares at 25.41, which is the sum of squared deviations for the predicted Structured Products price change compared to its average price change.About Structured Products 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 Structured Products Corp 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 Structured Products Corp based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Structured Products Corp price pattern first instead of the macroeconomic environment surrounding Structured Products Corp. By analyzing Structured Products'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 Structured Products'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 Structured Products specific price patterns or momentum indicators. Please read more on our technical analysis page.
Structured Products November 29, 2024 Technical Indicators
Most technical analysis of Structured 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 Structured from various momentum indicators to cycle indicators. When you analyze Structured 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 | 0.0436 | |||
| Market Risk Adjusted Performance | (0.45) | |||
| Mean Deviation | 0.9305 | |||
| Semi Deviation | 1.13 | |||
| Downside Deviation | 1.35 | |||
| Coefficient Of Variation | 1960.52 | |||
| Standard Deviation | 1.4 | |||
| Variance | 1.96 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | 0.0767 | |||
| Total Risk Alpha | (0.15) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | (0.46) | |||
| Maximum Drawdown | 7.06 | |||
| Value At Risk | (2.37) | |||
| Potential Upside | 3.35 | |||
| Downside Variance | 1.83 | |||
| Semi Variance | 1.28 | |||
| Expected Short fall | (1.13) | |||
| Skewness | 0.4047 | |||
| Kurtosis | 1.91 |
Complementary Tools for Structured Stock analysis
When running Structured Products' price analysis, check to measure Structured Products' 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 Structured Products is operating at the current time. Most of Structured Products' value examination focuses on studying past and present price action to predict the probability of Structured Products' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Structured Products' price. Additionally, you may evaluate how the addition of Structured Products to your portfolios can decrease your overall portfolio volatility.
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