Strats Sm Trust Stock Technical Analysis
| GJP Stock | USD 24.99 0.10 0.40% |
As of the 1st of December, STRATS SM has the risk adjusted performance of (0.0008), and Variance of 0.7576. STRATS SM 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.
STRATS SM Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as STRATS, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to STRATSSTRATS |
STRATS SM 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.
STRATS SM Trust 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 STRATS SM Trust volatility. High ATR values indicate high volatility, and low values indicate low volatility.
STRATS SM Trust Trend Analysis
Use this graph to draw trend lines for STRATS SM Trust. You can use it to identify possible trend reversals for STRATS SM 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 STRATS SM price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.STRATS SM Best Fit Change Line
The following chart estimates an ordinary least squares regression model for STRATS SM Trust applied against its price change over selected period. The best fit line has a slop of 0.0005 , which may imply that STRATS SM Trust will maintain its good market sentiment and make money for investors. It has 122 observation points and a regression sum of squares at 0.01, which is the sum of squared deviations for the predicted STRATS SM price change compared to its average price change.About STRATS SM 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 STRATS SM Trust 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 STRATS SM Trust based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on STRATS SM Trust price pattern first instead of the macroeconomic environment surrounding STRATS SM Trust. By analyzing STRATS SM'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 STRATS SM'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 STRATS SM specific price patterns or momentum indicators. Please read more on our technical analysis page.
STRATS SM December 1, 2024 Technical Indicators
Most technical analysis of STRATS 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 STRATS from various momentum indicators to cycle indicators. When you analyze STRATS 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 | (0.0008) | |||
| Market Risk Adjusted Performance | 1.24 | |||
| Mean Deviation | 0.5276 | |||
| Coefficient Of Variation | (37,828) | |||
| Standard Deviation | 0.8704 | |||
| Variance | 0.7576 | |||
| Information Ratio | (0.16) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.16) | |||
| Treynor Ratio | 1.23 | |||
| Maximum Drawdown | 4.85 | |||
| Value At Risk | (1.52) | |||
| Potential Upside | 1.54 | |||
| Skewness | (0.88) | |||
| Kurtosis | 2.79 |
Additional Tools for STRATS Stock Analysis
When running STRATS SM's price analysis, check to measure STRATS SM'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 STRATS SM is operating at the current time. Most of STRATS SM's value examination focuses on studying past and present price action to predict the probability of STRATS SM's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move STRATS SM's price. Additionally, you may evaluate how the addition of STRATS SM to your portfolios can decrease your overall portfolio volatility.