Smartetfs Smart Transportation Etf Technical Analysis
| MOTO Etf | USD 43.60 0.52 1.21% |
As of the 2nd of December, SmartETFs Smart has the Semi Deviation of 1.38, coefficient of variation of 7553.19, and Risk Adjusted Performance of 0.0141. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of SmartETFs Smart Tran, as well as the relationship between them.
SmartETFs Smart Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SmartETFs, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SmartETFsSmartETFs |
SmartETFs Smart 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.
SmartETFs Smart Tran 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 SmartETFs Smart Tran volatility. High ATR values indicate high volatility, and low values indicate low volatility.
SmartETFs Smart Tran Trend Analysis
Use this graph to draw trend lines for SmartETFs Smart Transportation. You can use it to identify possible trend reversals for SmartETFs Smart 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 SmartETFs Smart price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.SmartETFs Smart Best Fit Change Line
The following chart estimates an ordinary least squares regression model for SmartETFs Smart Transportation applied against its price change over selected period. The best fit line has a slop of 0.03 , which means SmartETFs Smart Transportation will continue generating value for investors. It has 122 observation points and a regression sum of squares at 27.29, which is the sum of squared deviations for the predicted SmartETFs Smart price change compared to its average price change.About SmartETFs Smart 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 SmartETFs Smart Transportation 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 SmartETFs Smart Transportation based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on SmartETFs Smart Tran price pattern first instead of the macroeconomic environment surrounding SmartETFs Smart Tran. By analyzing SmartETFs Smart'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 SmartETFs Smart'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 SmartETFs Smart specific price patterns or momentum indicators. Please read more on our technical analysis page.
SmartETFs Smart December 2, 2024 Technical Indicators
Most technical analysis of SmartETFs 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 SmartETFs from various momentum indicators to cycle indicators. When you analyze SmartETFs 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 | 0.0141 | |||
| Market Risk Adjusted Performance | 0.017 | |||
| Mean Deviation | 0.9189 | |||
| Semi Deviation | 1.38 | |||
| Downside Deviation | 1.46 | |||
| Coefficient Of Variation | 7553.19 | |||
| Standard Deviation | 1.26 | |||
| Variance | 1.6 | |||
| Information Ratio | (0.1) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.20) | |||
| Sortino Ratio | (0.08) | |||
| Treynor Ratio | 0.007 | |||
| Maximum Drawdown | 5.83 | |||
| Value At Risk | (2.58) | |||
| Potential Upside | 2.08 | |||
| Downside Variance | 2.12 | |||
| Semi Variance | 1.9 | |||
| Expected Short fall | (0.91) | |||
| Skewness | (0.73) | |||
| Kurtosis | 2.55 |
SmartETFs Smart December 2, 2024 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as SmartETFs stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 43.60 | ||
| Day Typical Price | 43.60 | ||
| Price Action Indicator | 0.26 |
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in SmartETFs Smart Transportation. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in estimate. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
The market value of SmartETFs Smart Tran is measured differently than its book value, which is the value of SmartETFs that is recorded on the company's balance sheet. Investors also form their own opinion of SmartETFs Smart's value that differs from its market value or its book value, called intrinsic value, which is SmartETFs Smart's 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 SmartETFs Smart's market value can be influenced by many factors that don't directly affect SmartETFs Smart's 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 SmartETFs Smart's value and its price as these two are different measures arrived at by different means. Investors typically determine if SmartETFs Smart is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SmartETFs Smart's 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.