Series Portfolios Trust Etf Technical Analysis
| SCAP Etf | USD 37.88 0.16 0.42% |
As of the 30th of November, Series Portfolios has the Semi Deviation of 0.7433, coefficient of variation of 745.65, and Risk Adjusted Performance of 0.1057. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Series Portfolios Trust, as well as the relationship between them.
Series Portfolios Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Series, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SeriesSeries |
Series Portfolios technical etf 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, etf market cycles, or different charting patterns.
Series Portfolios Trust Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. 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 Series Portfolios Trust volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Series Portfolios Trust Trend Analysis
Use this graph to draw trend lines for Series Portfolios Trust. You can use it to identify possible trend reversals for Series Portfolios 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 Series Portfolios price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Series Portfolios Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Series Portfolios Trust applied against its price change over selected period. The best fit line has a slop of 0.05 , which means Series Portfolios Trust will continue generating value for investors. It has 122 observation points and a regression sum of squares at 100.92, which is the sum of squared deviations for the predicted Series Portfolios price change compared to its average price change.About Series Portfolios 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 Series Portfolios 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 Series Portfolios Trust based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Series Portfolios Trust price pattern first instead of the macroeconomic environment surrounding Series Portfolios Trust. By analyzing Series Portfolios'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 Series Portfolios'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 Series Portfolios specific price patterns or momentum indicators. Please read more on our technical analysis page.
Series Portfolios November 30, 2024 Technical Indicators
Most technical analysis of Series 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 Series from various momentum indicators to cycle indicators. When you analyze Series 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 | 0.1057 | |||
| Market Risk Adjusted Performance | 0.1205 | |||
| Mean Deviation | 0.7729 | |||
| Semi Deviation | 0.7433 | |||
| Downside Deviation | 0.9553 | |||
| Coefficient Of Variation | 745.65 | |||
| Standard Deviation | 1.12 | |||
| Variance | 1.24 | |||
| Information Ratio | 0.0107 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | 0.0125 | |||
| Treynor Ratio | 0.1105 | |||
| Maximum Drawdown | 6.49 | |||
| Value At Risk | (1.53) | |||
| Potential Upside | 1.96 | |||
| Downside Variance | 0.9127 | |||
| Semi Variance | 0.5525 | |||
| Expected Short fall | (0.85) | |||
| Skewness | 1.15 | |||
| Kurtosis | 4.46 |
Series Portfolios Trust One Year Return
Based on the recorded statements, Series Portfolios Trust has an One Year Return of -27.96%. This is 348.09% lower than that of the AdvisorShares family and significantly lower than that of the Small Value category. The one year return for all United States etfs is notably higher than that of the company.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Series Portfolios Trust. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in nation. You can also try the Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
The market value of Series Portfolios Trust is measured differently than its book value, which is the value of Series that is recorded on the company's balance sheet. Investors also form their own opinion of Series Portfolios' value that differs from its market value or its book value, called intrinsic value, which is Series Portfolios' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Series Portfolios' market value can be influenced by many factors that don't directly affect Series Portfolios' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Series Portfolios' value and its price as these two are different measures arrived at by different means. Investors typically determine if Series Portfolios is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Series Portfolios' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.